コード例 #1
0
class UI_Q(QWidget):
    """
    Widget for selecting quantization / overflow options. The result can be read out
    via the attributes `self.ovfl` and `self.quant`.

    The constructor accepts a reference to the quantization dictionary for
    initial widget settings and for (re-)storing values.

    The following keys are defined; default values are used for missing keys:

    'wdg_name'  : 'ui_q'                            # widget name
    'label'     : ''                                # widget text label

    'label_q'   : 'Quant.'                          # subwidget text label
    'tip_q'     : 'Select kind of quantization.'    # Mouse-over tooltip
    'cmb_q'     : [round', 'fix', 'floor']          # combo-box choices
    'cur_q'     : 'round'                           # initial / current setting

    'label_ov'  : 'Ovfl.'                           # subwidget text label
    'tip_ov'    : 'Select overflow behaviour.'      # Mouse-over tooltip
    'cmb_ov'    : ['wrap', 'sat']                   # combo-box choices
    'cur_ov'    : 'wrap'                            # initial / current setting

    'enabled'   : True                              # Is widget enabled?
    'visible'   : True                              # Is widget visible?
    """
    # incoming,
    # sig_rx = pyqtSignal(object)
    # outcgoing
    sig_tx = pyqtSignal(object)
    from pyfda.libs.pyfda_qt_lib import emit

    def __init__(self, parent, q_dict, **kwargs):
        super(UI_Q, self).__init__(parent)
        self.q_dict = q_dict
        self._construct_UI(**kwargs)

    def _construct_UI(self, **kwargs):
        """ Construct widget """

        dict_ui = {
            'wdg_name': 'ui_q',
            'label': '',
            'label_q': 'Quant.',
            'tip_q': 'Select the kind of quantization.',
            'cmb_q': ['round', 'fix', 'floor'],
            'cur_q': 'round',
            'label_ov': 'Ovfl.',
            'tip_ov': 'Select overflow behaviour.',
            'cmb_ov': ['wrap', 'sat'],
            'cur_ov': 'wrap',
            'enabled': True,
            'visible': True
        }  #: default widget settings

        if 'quant' in self.q_dict and self.q_dict['quant'] in dict_ui['cmb_q']:
            dict_ui['cur_q'] = self.q_dict['quant']
        if 'ovfl' in self.q_dict and self.q_dict['ovfl'] in dict_ui['cmb_ov']:
            dict_ui['cur_ov'] = self.q_dict['ovfl']

        for key, val in kwargs.items():
            dict_ui.update({key: val})
        # dict_ui.update(map(kwargs)) # same as above?

        self.wdg_name = dict_ui['wdg_name']

        lblQuant = QLabel(dict_ui['label_q'], self)
        self.cmbQuant = QComboBox(self)
        self.cmbQuant.addItems(dict_ui['cmb_q'])
        qset_cmb_box(self.cmbQuant, dict_ui['cur_q'])
        self.cmbQuant.setToolTip(dict_ui['tip_q'])
        self.cmbQuant.setObjectName('quant')

        lblOvfl = QLabel(dict_ui['label_ov'], self)
        self.cmbOvfl = QComboBox(self)
        self.cmbOvfl.addItems(dict_ui['cmb_ov'])
        qset_cmb_box(self.cmbOvfl, dict_ui['cur_ov'])
        self.cmbOvfl.setToolTip(dict_ui['tip_ov'])
        self.cmbOvfl.setObjectName('ovfl')

        # ComboBox size is adjusted automatically to fit the longest element
        self.cmbQuant.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbOvfl.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        layH = QHBoxLayout()
        if dict_ui['label'] != "":
            lblW = QLabel(to_html(dict_ui['label'], frmt='bi'), self)
            layH.addWidget(lblW)
        layH.addStretch()
        layH.addWidget(lblOvfl)
        layH.addWidget(self.cmbOvfl)
        # layH.addStretch(1)
        layH.addWidget(lblQuant)
        layH.addWidget(self.cmbQuant)
        layH.setContentsMargins(0, 0, 0, 0)

        frmMain = QFrame(self)
        frmMain.setLayout(layH)

        layVMain = QVBoxLayout()  # Widget main layout
        layVMain.addWidget(frmMain)
        layVMain.setContentsMargins(0, 0, 0, 0)  # *params['wdg_margins'])

        self.setLayout(layVMain)

        # ----------------------------------------------------------------------
        # INITIAL SETTINGS
        # ----------------------------------------------------------------------
        self.ovfl = qget_cmb_box(self.cmbOvfl, data=False)
        self.quant = qget_cmb_box(self.cmbQuant, data=False)
        frmMain.setEnabled(dict_ui['enabled'])
        frmMain.setVisible(dict_ui['visible'])

        # ----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        self.cmbOvfl.currentIndexChanged.connect(self.ui2dict)
        self.cmbQuant.currentIndexChanged.connect(self.ui2dict)

    # --------------------------------------------------------------------------
    def ui2dict(self):
        """
        Update the quantization dict and the attributes `self.ovfl` and
        `self.quant` from the UI
        """
        self.ovfl = self.cmbOvfl.currentText()
        self.quant = self.cmbQuant.currentText()

        self.q_dict.update({'ovfl': self.ovfl, 'quant': self.quant})

        if self.sender():
            obj_name = self.sender().objectName()
            dict_sig = {'wdg_name': self.wdg_name, 'ui': obj_name}
            self.emit(dict_sig)

    # --------------------------------------------------------------------------
    def dict2ui(self, q_dict):
        """ Update UI from passed dictionary """
        pass
コード例 #2
0
ファイル: freq_units.py プロジェクト: chipmuenk/pyfda
class FreqUnits(QWidget):
    """
    Build and update widget for entering frequency unit, frequency range and
    sampling frequency f_S

    The following key-value pairs of the `fb.fil[0]` dict are modified:

        - `'freq_specs_unit'` : The unit ('k', 'f_S', 'f_Ny', 'Hz' etc.) as a string
        - `'freqSpecsRange'` : A list with two entries for minimum and maximum frequency
                               values for labelling the frequency axis
        - `'f_S'` : The sampling frequency for referring frequency values to as a float
        - `'f_max'` : maximum frequency for scaling frequency axis
        - `'plt_fUnit'`: frequency unit as string
        - `'plt_tUnit'`: time unit as string
        - `'plt_fLabel'`: label for frequency axis
        - `'plt_tLabel'`: label for time axis

    """

    # class variables (shared between instances if more than one exists)
    sig_tx = pyqtSignal(object)  # outgoing
    from pyfda.libs.pyfda_qt_lib import emit

    def __init__(self, parent=None, title="Frequency Units"):

        super(FreqUnits, self).__init__(parent)
        self.title = title
        self.spec_edited = False  # flag whether QLineEdit field has been edited

        self._construct_UI()

    def _construct_UI(self):
        """
        Construct the User Interface
        """
        self.layVMain = QVBoxLayout()  # Widget main layout

        f_units = ['k', 'f_S', 'f_Ny', 'Hz', 'kHz', 'MHz', 'GHz']
        self.t_units = ['', 'T_S', 'T_S', 's', 'ms', r'$\mu$s', 'ns']

        bfont = QFont()
        bfont.setBold(True)

        self.lblUnits = QLabel(self)
        self.lblUnits.setText("Freq. Unit")
        self.lblUnits.setFont(bfont)

        self.fs_old = fb.fil[0]['f_S']  # store current sampling frequency

        self.lblF_S = QLabel(self)
        self.lblF_S.setText(to_html("f_S =", frmt='bi'))

        self.ledF_S = QLineEdit()
        self.ledF_S.setText(str(fb.fil[0]["f_S"]))
        self.ledF_S.setObjectName("f_S")
        self.ledF_S.installEventFilter(self)  # filter events

        self.butLock = QToolButton(self)
        self.butLock.setIcon(QIcon(':/lock-unlocked.svg'))
        self.butLock.setCheckable(True)
        self.butLock.setChecked(False)
        self.butLock.setToolTip(
            "<span><b>Unlocked:</b> When f_S is changed, all frequency related "
            "widgets are updated, normalized frequencies stay the same.<br />"
            "<b>Locked:</b> When f_S is changed, displayed absolute frequency "
            "values don't change but normalized frequencies do.</span>")
        # self.butLock.setStyleSheet("QToolButton:checked {font-weight:bold}")

        layHF_S = QHBoxLayout()
        layHF_S.addWidget(self.ledF_S)
        layHF_S.addWidget(self.butLock)

        self.cmbUnits = QComboBox(self)
        self.cmbUnits.setObjectName("cmbUnits")
        self.cmbUnits.addItems(f_units)
        self.cmbUnits.setToolTip(
            'Select whether frequencies are specified w.r.t. \n'
            'the sampling frequency "f_S", to the Nyquist frequency \n'
            'f_Ny = f_S/2 or as absolute values. "k" specifies frequencies w.r.t. f_S '
            'but plots graphs over the frequency index k.')
        self.cmbUnits.setCurrentIndex(1)
        #        self.cmbUnits.setItemData(0, (0,QColor("#FF333D"),Qt.BackgroundColorRole))#
        #        self.cmbUnits.setItemData(0, (QFont('Verdana', bold=True), Qt.FontRole)

        fRanges = [("0...½", "half"), ("0...1", "whole"), ("-½...½", "sym")]
        self.cmbFRange = QComboBox(self)
        self.cmbFRange.setObjectName("cmbFRange")
        for f in fRanges:
            self.cmbFRange.addItem(f[0], f[1])
        self.cmbFRange.setToolTip("Select frequency range (whole or half).")
        self.cmbFRange.setCurrentIndex(0)

        # Combobox resizes with longest entry
        self.cmbUnits.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbFRange.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.butSort = QToolButton(self)
        self.butSort.setText("Sort")
        self.butSort.setIcon(QIcon(':/sort-ascending.svg'))
        #self.butDelCells.setIconSize(q_icon_size)
        self.butSort.setCheckable(True)
        self.butSort.setChecked(True)
        self.butSort.setToolTip(
            "Sort frequencies in ascending order when pushed.")
        self.butSort.setStyleSheet("QToolButton:checked {font-weight:bold}")

        self.layHUnits = QHBoxLayout()
        self.layHUnits.addWidget(self.cmbUnits)
        self.layHUnits.addWidget(self.cmbFRange)
        self.layHUnits.addWidget(self.butSort)

        # Create a gridLayout consisting of QLabel and QLineEdit fields
        # for setting f_S, the units and the actual frequency specs:
        self.layGSpecWdg = QGridLayout()  # sublayout for spec fields
        self.layGSpecWdg.addWidget(self.lblF_S, 1, 0)
        # self.layGSpecWdg.addWidget(self.ledF_S,1,1)
        self.layGSpecWdg.addLayout(layHF_S, 1, 1)
        self.layGSpecWdg.addWidget(self.lblUnits, 0, 0)
        self.layGSpecWdg.addLayout(self.layHUnits, 0, 1)

        frmMain = QFrame(self)
        frmMain.setLayout(self.layGSpecWdg)

        self.layVMain.addWidget(frmMain)
        self.layVMain.setContentsMargins(*params['wdg_margins'])

        self.setLayout(self.layVMain)

        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.cmbUnits.currentIndexChanged.connect(self.update_UI)
        self.butLock.clicked.connect(self._lock_freqs)
        self.cmbFRange.currentIndexChanged.connect(self._freq_range)
        self.butSort.clicked.connect(self._store_sort_flag)
        # ----------------------------------------------------------------------

        self.update_UI()  # first-time initialization

# -------------------------------------------------------------

    def _lock_freqs(self):
        """
        Lock / unlock frequency entries: The values of frequency related widgets
        are stored in normalized form (w.r.t. sampling frequency)`fb.fil[0]['f_S']`.

        When the sampling frequency changes, absolute frequencies displayed in the
        widgets change their values. Most of the time, this is the desired behaviour,
        the properties of discrete time systems or signals are usually defined
        by the normalized frequencies.

        When the effect of varying the sampling frequency is to be analyzed, the
        displayed values in the widgets can be locked by pressing the Lock button.
        After changing the sampling frequency, normalized frequencies have to be
        rescaled like `f_a *= fb.fil[0]['f_S_prev'] / fb.fil[0]['f_S']` to maintain
        the displayed value `f_a * f_S`.

        This has to be accomplished by each frequency widget (currently, these are
        freq_specs and freq_units).

        The setting is stored as bool in the global dict entry `fb.fil[0]['freq_locked'`,
        the signal 'view_changed':'f_S' is emitted.
        """

        if self.butLock.isChecked():
            # Lock has been activated, keep displayed frequencies locked
            fb.fil[0]['freq_locked'] = True
            self.butLock.setIcon(QIcon(':/lock-locked.svg'))
        else:
            # Lock has been unlocked, scale displayed frequencies with f_S
            fb.fil[0]['freq_locked'] = False
            self.butLock.setIcon(QIcon(':/lock-unlocked.svg'))

        self.emit({'view_changed': 'f_S'})

# -------------------------------------------------------------

    def update_UI(self):
        """
        update_UI is called
        - during init
        - when the unit combobox is changed

        Set various scale factors and labels depending on the setting of the unit
        combobox.

        Update the freqSpecsRange and finally, emit 'view_changed':'f_S' signal
        """
        f_unit = str(self.cmbUnits.currentText())  # selected frequency unit
        idx = self.cmbUnits.currentIndex()  # and its index

        is_normalized_freq = f_unit in {"f_S", "f_Ny", "k"}

        self.ledF_S.setVisible(not is_normalized_freq)  # only vis. when
        self.lblF_S.setVisible(not is_normalized_freq)  # not normalized
        self.butLock.setVisible(not is_normalized_freq)
        f_S_scale = 1  # default setting for f_S scale

        if is_normalized_freq:
            # store current sampling frequency to restore it when returning to
            # unnormalized frequencies
            self.fs_old = fb.fil[0]['f_S']

            if f_unit == "f_S":  # normalized to f_S
                fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 1.
                fb.fil[0]['T_S'] = 1.
                f_label = r"$F = f\, /\, f_S = \Omega \, /\,  2 \mathrm{\pi} \; \rightarrow$"
                t_label = r"$n = t\, /\, T_S \; \rightarrow$"
            elif f_unit == "f_Ny":  # normalized to f_nyq = f_S / 2
                fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 2.
                fb.fil[0]['T_S'] = 1.
                f_label = r"$F = 2f \, / \, f_S = \Omega \, / \, \mathrm{\pi} \; \rightarrow$"
                t_label = r"$n = t\, /\, T_S \; \rightarrow$"
            else:  # frequency index k,
                fb.fil[0]['f_S'] = 1.
                fb.fil[0]['T_S'] = 1.
                fb.fil[0]['f_max'] = params['N_FFT']
                f_label = r"$k \; \rightarrow$"
                t_label = r"$n\; \rightarrow$"

            self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))

        else:  # Hz, kHz, ...
            # Restore sampling frequency when returning from f_S / f_Ny / k
            if fb.fil[0]['freq_specs_unit'] in {
                    "f_S", "f_Ny", "k"
            }:  # previous setting normalized?
                fb.fil[0]['f_S'] = fb.fil[0][
                    'f_max'] = self.fs_old  # yes, restore prev.
                fb.fil[0][
                    'T_S'] = 1. / self.fs_old  # settings for sampling frequency
                self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))

            if f_unit == "Hz":
                f_S_scale = 1.
            elif f_unit == "kHz":
                f_S_scale = 1.e3
            elif f_unit == "MHz":
                f_S_scale = 1.e6
            elif f_unit == "GHz":
                f_S_scale = 1.e9
            else:
                logger.warning("Unknown frequency unit {0}".format(f_unit))

            f_label = r"$f$ in " + f_unit + r"$\; \rightarrow$"
            t_label = r"$t$ in " + self.t_units[idx] + r"$\; \rightarrow$"

        if f_unit == "k":
            plt_f_unit = "f_S"
        else:
            plt_f_unit = f_unit

        fb.fil[0].update({'f_S_scale':
                          f_S_scale})  # scale factor for f_S (Hz, kHz, ...)
        fb.fil[0].update({'freq_specs_unit': f_unit})  # frequency unit
        # time and frequency unit as string e.g. for plot axis labeling
        fb.fil[0].update({"plt_fUnit": plt_f_unit})
        fb.fil[0].update({"plt_tUnit": self.t_units[idx]})
        # complete plot axis labels including unit and arrow
        fb.fil[0].update({"plt_fLabel": f_label})
        fb.fil[0].update({"plt_tLabel": t_label})

        self._freq_range(
            emit=False)  # update f_lim setting without emitting signal

        self.emit({'view_changed': 'f_S'})

# ------------------------------------------------------------------------------

    def eventFilter(self, source, event):
        """
        Filter all events generated by the QLineEdit `f_S` widget. Source and type
        of all events generated by monitored objects are passed to this eventFilter,
        evaluated and passed on to the next hierarchy level.

        - When a QLineEdit widget gains input focus (QEvent.FocusIn`), display
          the stored value from filter dict with full precision
        - When a key is pressed inside the text field, set the `spec_edited` flag
          to True.
        - When a QLineEdit widget loses input focus (QEvent.FocusOut`), store
          current value with full precision (only if `spec_edited`== True) and
          display the stored value in selected format. Emit 'view_changed':'f_S'
        """
        def _store_entry():
            """
            Update filter dictionary, set line edit entry with reduced precision
            again.
            """
            if self.spec_edited:
                fb.fil[0].update({'f_S_prev': fb.fil[0]['f_S']})
                fb.fil[0].update({
                    'f_S':
                    safe_eval(source.text(), fb.fil[0]['f_S'], sign='pos')
                })
                fb.fil[0].update({'T_S': 1. / fb.fil[0]['f_S']})
                fb.fil[0].update({'f_max': fb.fil[0]['f_S']})

                self._freq_range(emit=False)  # update plotting range
                self.emit({'view_changed': 'f_S'})
                self.spec_edited = False  # reset flag, changed entry has been saved

        if source.objectName() == 'f_S':
            if event.type() == QEvent.FocusIn:
                self.spec_edited = False
                source.setText(str(fb.fil[0]['f_S']))  # full precision
            elif event.type() == QEvent.KeyPress:
                self.spec_edited = True  # entry has been changed
                key = event.key()
                if key in {QtCore.Qt.Key_Return, QtCore.Qt.Key_Enter}:
                    _store_entry()
                elif key == QtCore.Qt.Key_Escape:  # revert changes
                    self.spec_edited = False
                    source.setText(str(fb.fil[0]['f_S']))  # full precision

            elif event.type() == QEvent.FocusOut:
                _store_entry()
                source.setText(params['FMT'].format(
                    fb.fil[0]['f_S']))  # reduced prec.
        # Call base class method to continue normal event processing:
        return super(FreqUnits, self).eventFilter(source, event)

    # -------------------------------------------------------------
    def _freq_range(self, emit=True):
        """
        Set frequency plotting range for single-sided spectrum up to f_S/2 or f_S
        or for double-sided spectrum between -f_S/2 and f_S/2

        Emit 'view_changed':'f_range' when `emit=True`
        """
        if type(emit) == int:  # signal was emitted by combobox
            emit = True

        rangeType = qget_cmb_box(self.cmbFRange)

        fb.fil[0].update({'freqSpecsRangeType': rangeType})
        f_max = fb.fil[0]["f_max"]

        if rangeType == 'whole':
            f_lim = [0, f_max]
        elif rangeType == 'sym':
            f_lim = [-f_max / 2., f_max / 2.]
        else:
            f_lim = [0, f_max / 2.]

        fb.fil[0]['freqSpecsRange'] = f_lim  # store settings in dict

        if emit:
            self.emit({'view_changed': 'f_range'})

    # -------------------------------------------------------------
    def load_dict(self):
        """
        Reload comboBox settings and textfields from filter dictionary
        Block signals during update of combobox / lineedit widgets
        """
        self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))

        self.cmbUnits.blockSignals(True)
        idx = self.cmbUnits.findText(
            fb.fil[0]['freq_specs_unit'])  # get and set
        self.cmbUnits.setCurrentIndex(idx)  # index for freq. unit combo box
        self.cmbUnits.blockSignals(False)

        self.cmbFRange.blockSignals(True)
        idx = self.cmbFRange.findData(fb.fil[0]['freqSpecsRangeType'])
        self.cmbFRange.setCurrentIndex(idx)  # set frequency range
        self.cmbFRange.blockSignals(False)

        self.butSort.blockSignals(True)
        self.butSort.setChecked(fb.fil[0]['freq_specs_sort'])
        self.butSort.blockSignals(False)

# -------------------------------------------------------------

    def _store_sort_flag(self):
        """
        Store sort flag in filter dict and emit 'specs_changed':'f_sort'
        when sort button is checked.
        """
        fb.fil[0]['freq_specs_sort'] = self.butSort.isChecked()
        if self.butSort.isChecked():
            self.emit({'specs_changed': 'f_sort'})
コード例 #3
0
class UI_W(QWidget):
    """
    Widget for entering integer and fractional bits. The result can be read out
    via the attributes `self.WI`, `self.WF` and `self.W`.

    The constructor accepts a dictionary for initial widget settings.
    The following keys are defined; default values are used for missing keys:

    'wdg_name'      : 'ui_w'                    # widget name
    'label'         : 'WI.WF'                   # widget text label
    'visible'       : True                      # Is widget visible?
    'enabled'       : True                      # Is widget enabled?

    'fractional'    : True                      # Display WF, otherwise WF=0
    'lbl_sep'       : '.'                       # label between WI and WF field
    'max_led_width' : 30                        # max. length of lineedit field
    'WI'            : 0                         # number of frac. *bits*
    'WI_len'        : 2                         # max. number of integer *digits*
    'tip_WI'        : 'Number of integer bits'  # Mouse-over tooltip
    'WF'            : 15                        # number of frac. *bits*
    'WF_len'        : 2                         # max. number of frac. *digits*
    'tip_WF'        : 'Number of frac. bits'    # Mouse-over tooltip


    'lock_visible'  : False                     # Pushbutton for locking visible
    'tip_lock'      : 'Lock input/output quant.'# Tooltip for  lock push button

    'combo_visible' : False                     # Enable integrated combo widget
    'combo_items'   : ['auto', 'full', 'man']   # Combo selection
    'tip_combo'     : 'Calculate Acc. width.'   # tooltip for combo
    """
    # sig_rx = pyqtSignal(object)  # incoming,
    sig_tx = pyqtSignal(object)  # outcgoing
    from pyfda.libs.pyfda_qt_lib import emit

    def __init__(self, parent, q_dict, **kwargs):
        super(UI_W, self).__init__(parent)
        self.q_dict = q_dict  # pass a dict with initial settings for construction
        self._construct_UI(**kwargs)
        self.ui2dict(s='init')  # initialize the class attributes

    def _construct_UI(self, **kwargs):
        """
        Construct widget from quantization dict, individual settings and
        the default dict below """

        # default settings
        dict_ui = {
            'wdg_name': 'ui_w',
            'label': 'WI.WF',
            'lbl_sep': '.',
            'max_led_width': 30,
            'WI': 0,
            'WI_len': 2,
            'tip_WI': 'Number of integer bits',
            'WF': 15,
            'WF_len': 2,
            'tip_WF': 'Number of fractional bits',
            'enabled': True,
            'visible': True,
            'fractional': True,
            'combo_visible': False,
            'combo_items': ['auto', 'full', 'man'],
            'tip_combo': 'Calculate Acc. width.',
            'lock_visible': False,
            'tip_lock': 'Lock input/output quantization.'
        }  #: default values

        if self.q_dict:
            dict_ui.update(self.q_dict)

        for k, v in kwargs.items():
            if k not in dict_ui:
                logger.warning("Unknown key {0}".format(k))
            else:
                dict_ui.update({k: v})

        self.wdg_name = dict_ui['wdg_name']

        if not dict_ui['fractional']:
            dict_ui['WF'] = 0
        self.WI = dict_ui['WI']
        self.WF = dict_ui['WF']
        self.W = int(self.WI + self.WF + 1)
        if self.q_dict:
            self.q_dict.update({'WI': self.WI, 'WF': self.WF, 'W': self.W})
        else:
            self.q_dict = {'WI': self.WI, 'WF': self.WF, 'W': self.W}

        lblW = QLabel(to_html(dict_ui['label'], frmt='bi'), self)

        self.cmbW = QComboBox(self)
        self.cmbW.addItems(dict_ui['combo_items'])
        self.cmbW.setVisible(dict_ui['combo_visible'])
        self.cmbW.setToolTip(dict_ui['tip_combo'])
        self.cmbW.setObjectName("cmbW")

        self.butLock = QPushButton(self)
        self.butLock.setCheckable(True)
        self.butLock.setChecked(False)
        self.butLock.setVisible(dict_ui['lock_visible'])
        self.butLock.setToolTip(dict_ui['tip_lock'])

        self.ledWI = QLineEdit(self)
        self.ledWI.setToolTip(dict_ui['tip_WI'])
        self.ledWI.setMaxLength(dict_ui['WI_len'])  # maximum of 2 digits
        self.ledWI.setFixedWidth(
            dict_ui['max_led_width'])  # width of lineedit in points
        self.ledWI.setObjectName("WI")

        lblDot = QLabel(dict_ui['lbl_sep'], self)
        lblDot.setVisible(dict_ui['fractional'])

        self.ledWF = QLineEdit(self)
        self.ledWF.setToolTip(dict_ui['tip_WF'])
        self.ledWF.setMaxLength(dict_ui['WI_len'])  # maximum of 2 digits
        self.ledWF.setFixedWidth(
            dict_ui['max_led_width'])  # width of lineedit in points
        self.ledWF.setVisible(dict_ui['fractional'])
        self.ledWF.setObjectName("WF")

        layH = QHBoxLayout()
        layH.addWidget(lblW)
        layH.addStretch()
        layH.addWidget(self.cmbW)
        layH.addWidget(self.butLock)
        layH.addWidget(self.ledWI)
        layH.addWidget(lblDot)
        layH.addWidget(self.ledWF)
        layH.setContentsMargins(0, 0, 0, 0)

        frmMain = QFrame(self)
        frmMain.setLayout(layH)

        layVMain = QVBoxLayout()  # Widget main layout
        layVMain.addWidget(frmMain)
        layVMain.setContentsMargins(0, 5, 0, 0)  # *params['wdg_margins'])

        self.setLayout(layVMain)

        # ----------------------------------------------------------------------
        # INITIAL SETTINGS
        # ----------------------------------------------------------------------
        self.ledWI.setText(qstr(dict_ui['WI']))
        self.ledWF.setText(qstr(dict_ui['WF']))

        frmMain.setEnabled(dict_ui['enabled'])
        frmMain.setVisible(dict_ui['visible'])

        # ----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        self.ledWI.editingFinished.connect(self.ui2dict)
        self.ledWF.editingFinished.connect(self.ui2dict)
        self.butLock.clicked.connect(self.butLock_clicked)
        self.cmbW.currentIndexChanged.connect(self.ui2dict)

        # initialize button icon
        self.butLock_clicked(self.butLock.isChecked())

    def quant_coeffs(self,
                     q_dict: dict,
                     coeffs: iterable,
                     to_int: bool = False) -> list:
        """
        Quantize the coefficients, scale and convert them to integer and return them
        as a list of integers

        This is called every time one of the coefficient subwidgets is edited or changed.

        Parameters:
        -----------
        q_dict: dict
           Dictionary with quantizer settings for coefficients

        coeffs: iterable
           a list or ndarray of coefficients to be quantized

        Returns:
        --------
        A list of integer coeffcients, quantized and scaled with the settings
        of the passed quantization dict

        """
        # Create coefficient quantizer instance using the passed quantization parameters
        # dict from `input_widgets/input_coeffs.py` (and stored in the central
        # filter dict)
        Q_coeff = fx.Fixed(q_dict)
        Q_coeff.frmt = 'dec'  # always use decimal format for coefficients

        if coeffs is None:
            logger.error("Coeffs empty!")
        # quantize floating point coefficients with the selected scale (WI.WF),
        # next convert array float  -> array of fixp
        #                           -> list of int (scaled by 2^WF) when `to_int == True`
        if to_int:
            return list(Q_coeff.float2frmt(coeffs) * (1 << Q_coeff.WF))
        else:
            return list(Q_coeff.fixp(coeffs))

    # --------------------------------------------------------------------------
    def butLock_clicked(self, clicked):
        """
        Update the icon of the push button depending on its state
        """
        if clicked:
            self.butLock.setIcon(QIcon(':/lock-locked.svg'))
        else:
            self.butLock.setIcon(QIcon(':/lock-unlocked.svg'))

        q_icon_size = self.butLock.iconSize(
        )  # <- uncomment this for manual sizing
        self.butLock.setIconSize(q_icon_size)

        dict_sig = {'wdg_name': self.wdg_name, 'ui': 'butLock'}
        self.emit(dict_sig)

    # --------------------------------------------------------------------------
    def ui2dict(self, s=None):
        """
        Update the attributes `self.WI`, `self.WF` and `self.W` and `self.q_dict`
        when one of the QLineEdit widgets has been edited.

        Emit a signal with `{'ui':objectName of the sender}`.
        """

        self.WI = int(
            safe_eval(self.ledWI.text(),
                      self.WI,
                      return_type="int",
                      sign='poszero'))
        self.ledWI.setText(qstr(self.WI))
        self.WF = int(
            safe_eval(self.ledWF.text(),
                      self.WF,
                      return_type="int",
                      sign='poszero'))
        self.ledWF.setText(qstr(self.WF))
        self.W = int(self.WI + self.WF + 1)

        self.q_dict.update({'WI': self.WI, 'WF': self.WF, 'W': self.W})

        if self.sender():
            obj_name = self.sender().objectName()
            logger.debug("sender: {0}".format(obj_name))
            dict_sig = {'wdg_name': self.wdg_name, 'ui': obj_name}
            self.emit(dict_sig)
        elif s == 'init':
            logger.debug("called by __init__")
        else:
            logger.error("sender without name!")

    # --------------------------------------------------------------------------
    def dict2ui(self, q_dict=None):
        """
        Update the widgets `WI` and `WF` and the corresponding attributes
        from the dict passed as the argument
        """
        if q_dict is None:
            q_dict = self.q_dict

        if 'WI' in q_dict:
            self.WI = safe_eval(q_dict['WI'],
                                self.WI,
                                return_type="int",
                                sign='poszero')
            self.ledWI.setText(qstr(self.WI))
        else:
            logger.warning("No key 'WI' in dict!")

        if 'WF' in q_dict:
            self.WF = safe_eval(q_dict['WF'],
                                self.WF,
                                return_type="int",
                                sign='poszero')
            self.ledWF.setText(qstr(self.WF))
        else:
            logger.warning("No key 'WF' in dict!")

        self.W = self.WF + self.WI + 1
コード例 #4
0
ファイル: plot_impz_ui.py プロジェクト: nergnixouhm9/pyfda
class PlotImpz_UI(QWidget):
    """
    Create the UI for the PlotImpz class
    """
    # incoming: not implemented at the moment, update_N is triggered directly
    # by plot_impz
    # sig_rx = pyqtSignal(object)
    # outgoing: from various UI elements to PlotImpz ('ui_changed':'xxx')
    sig_tx = pyqtSignal(object)
    # outgoing to local fft window
    sig_tx_fft = pyqtSignal(object)


    def __init__(self, parent):
        """
        Pass instance `parent` of parent class (FilterCoeffs)
        """
        super(PlotImpz_UI, self).__init__(parent)

        """
        Intitialize the widget, consisting of:
        - top chkbox row
        - coefficient table
        - two bottom rows with action buttons
        """

        # initial settings
        self.N_start = 0
        self.N_user = 0
        self.N = 0

        # time
        self.plt_time_resp = "Stem"
        self.plt_time_stim = "None"
        self.plt_time_stmq = "None"
        self.plt_time_spgr = "None"

        self.bottom_t = -80 # initial value for log. scale (time)
        self.nfft_spgr_time = 256 # number of fft points per spectrogram segment
        self.ovlp_spgr_time = 128 # number of overlap points between spectrogram segments
        self.mode_spgr_time = "magnitude"

        # stimuli
        self.stim = "Impulse"
        self.chirp_method = 'Linear'
        self.noise = "None"

        self.f1 = 0.02
        self.f2 = 0.03
        self.A1 = 1.0
        self.A2 = 0.0
        self.phi1 = self.phi2 = 0
        self.noi = 0.1
        self.noise = 'none'
        self.DC = 0.0
        self.stim_formula = "A1 * abs(sin(2 * pi * f1 * n))"

        # frequency
        self.plt_freq_resp = "Line"
        self.plt_freq_stim = "None"
        self.plt_freq_stmq = "None"

        self.bottom_f = -120 # initial value for log. scale
        self.param = None


        # dictionary for fft window settings
        self.win_dict = fb.fil[0]['win_fft']
        self.fft_window = None # handle for FFT window pop-up widget
        self.window_name = "Rectangular"

        self._construct_UI()
        self._enable_stim_widgets()
        self.update_N(emit=False) # also updates window function
        self._update_noi()


    def _construct_UI(self):
        # ----------- ---------------------------------------------------
        # Run control widgets
        # ---------------------------------------------------------------
        self.chk_auto_run = QCheckBox("Auto", self)
        self.chk_auto_run.setObjectName("chk_auto_run")
        self.chk_auto_run.setToolTip("<span>Update response automatically when "
                                     "parameters have been changed.</span>")
        self.chk_auto_run.setChecked(True)

        self.but_run = QPushButton(self)
        self.but_run.setText("RUN")
        self.but_run.setToolTip("Run simulation")
        self.but_run.setEnabled(not self.chk_auto_run.isChecked())

        self.cmb_sim_select = QComboBox(self)
        self.cmb_sim_select.addItems(["Float","Fixpoint"])
        qset_cmb_box(self.cmb_sim_select, "Float")
        self.cmb_sim_select.setToolTip("<span>Simulate floating-point or fixpoint response."
                                 "</span>")

        self.lbl_N_points = QLabel(to_html("N", frmt='bi')  + " =", self)
        self.led_N_points = QLineEdit(self)
        self.led_N_points.setText(str(self.N))
        self.led_N_points.setToolTip("<span>Number of displayed data points. "
                                   "<i>N</i> = 0 tries to choose for you.</span>")

        self.lbl_N_start = QLabel(to_html("N_0", frmt='bi') + " =", self)
        self.led_N_start = QLineEdit(self)
        self.led_N_start.setText(str(self.N_start))
        self.led_N_start.setToolTip("<span>First point to plot.</span>")

        self.chk_fx_scale = QCheckBox("Int. scale", self)
        self.chk_fx_scale.setObjectName("chk_fx_scale")
        self.chk_fx_scale.setToolTip("<span>Display data with integer (fixpoint) scale.</span>")
        self.chk_fx_scale.setChecked(False)

        self.chk_stim_options = QCheckBox("Stim. Options", self)
        self.chk_stim_options.setObjectName("chk_stim_options")
        self.chk_stim_options.setToolTip("<span>Show stimulus options.</span>")
        self.chk_stim_options.setChecked(True)

        self.but_fft_win = QPushButton(self)
        self.but_fft_win.setText("WIN FFT")
        self.but_fft_win.setToolTip('<span> time and frequency response of FFT Window '
                                    '(can be modified in the "Frequency" tab)</span>')
        self.but_fft_win.setCheckable(True)
        self.but_fft_win.setChecked(False)

        layH_ctrl_run = QHBoxLayout()
        layH_ctrl_run.addWidget(self.but_run)
        #layH_ctrl_run.addWidget(self.lbl_sim_select)
        layH_ctrl_run.addWidget(self.cmb_sim_select)
        layH_ctrl_run.addWidget(self.chk_auto_run)
        layH_ctrl_run.addStretch(1)
        layH_ctrl_run.addWidget(self.lbl_N_start)
        layH_ctrl_run.addWidget(self.led_N_start)
        layH_ctrl_run.addStretch(1)
        layH_ctrl_run.addWidget(self.lbl_N_points)
        layH_ctrl_run.addWidget(self.led_N_points)
        layH_ctrl_run.addStretch(2)
        layH_ctrl_run.addWidget(self.chk_fx_scale)
        layH_ctrl_run.addStretch(2)
        layH_ctrl_run.addWidget(self.chk_stim_options)
        layH_ctrl_run.addStretch(2)
        layH_ctrl_run.addWidget(self.but_fft_win)
        layH_ctrl_run.addStretch(10)

        #layH_ctrl_run.setContentsMargins(*params['wdg_margins'])

        self.wdg_ctrl_run = QWidget(self)
        self.wdg_ctrl_run.setLayout(layH_ctrl_run)
        # --- end of run control ----------------------------------------

        # ----------- ---------------------------------------------------
        # Controls for time domain
        # ---------------------------------------------------------------
        plot_styles_list = ["None","Dots","Line","Line*","Stem","Stem*","Step","Step*"]

        lbl_plt_time_title = QLabel("<b>View:</b>", self)

        self.lbl_plt_time_stim = QLabel(to_html("Stimulus x", frmt='bi'), self)
        self.cmb_plt_time_stim = QComboBox(self)
        self.cmb_plt_time_stim.addItems(plot_styles_list)
        qset_cmb_box(self.cmb_plt_time_stim, self.plt_time_stim)
        self.cmb_plt_time_stim.setToolTip("<span>Plot style for stimulus.</span>")

        self.lbl_plt_time_stmq = QLabel(to_html("&nbsp;&nbsp;Fixp. Stim. x_Q", frmt='bi'), self)
        self.cmb_plt_time_stmq = QComboBox(self)
        self.cmb_plt_time_stmq.addItems(plot_styles_list)
        qset_cmb_box(self.cmb_plt_time_stmq, self.plt_time_stmq)
        self.cmb_plt_time_stmq.setToolTip("<span>Plot style for <em>fixpoint</em> (quantized) stimulus.</span>")

        lbl_plt_time_resp = QLabel(to_html("&nbsp;&nbsp;Response y", frmt='bi'), self)
        self.cmb_plt_time_resp = QComboBox(self)
        self.cmb_plt_time_resp.addItems(plot_styles_list)
        qset_cmb_box(self.cmb_plt_time_resp, self.plt_time_resp)
        self.cmb_plt_time_resp.setToolTip("<span>Plot style for response.</span>")

        lbl_win_time = QLabel(to_html("&nbsp;&nbsp;FFT Window", frmt='bi'), self)
        self.chk_win_time = QCheckBox(self)
        self.chk_win_time.setObjectName("chk_win_time")
        self.chk_win_time.setToolTip('<span>Show FFT windowing function (can be modified in the "Frequency" tab).</span>')
        self.chk_win_time.setChecked(False)

        lbl_log_time = QLabel(to_html("dB", frmt='b'), self)
        self.chk_log_time = QCheckBox(self)
        self.chk_log_time.setObjectName("chk_log_time")
        self.chk_log_time.setToolTip("<span>Logarithmic scale for y-axis.</span>")
        self.chk_log_time.setChecked(False)

        self.lbl_log_bottom_time = QLabel(to_html("min =", frmt='bi'), self)
        self.lbl_log_bottom_time.setVisible(True)
        self.led_log_bottom_time = QLineEdit(self)
        self.led_log_bottom_time.setText(str(self.bottom_t))
        self.led_log_bottom_time.setToolTip("<span>Minimum display value for time "
                                            "and spectrogram plots with log. scale.</span>")
        self.led_log_bottom_time.setVisible(True)

        lbl_plt_time_spgr = QLabel(to_html("&nbsp;&nbsp;Spectrogram", frmt='bi'), self)
        self.cmb_plt_time_spgr = QComboBox(self)
        self.cmb_plt_time_spgr.addItems(["None", "x[n]", "x_q[n]", "y[n]"])
        qset_cmb_box(self.cmb_plt_time_spgr, self.plt_time_spgr)
        self.cmb_plt_time_spgr.setToolTip("<span>Show Spectrogram for selected signal.</span>")
        spgr_en = self.plt_time_spgr != "None"

        self.lbl_log_spgr_time = QLabel(to_html("&nbsp;dB", frmt='b'), self)
        self.lbl_log_spgr_time.setVisible(spgr_en)
        self.chk_log_spgr_time = QCheckBox(self)
        self.chk_log_spgr_time.setObjectName("chk_log_spgr")
        self.chk_log_spgr_time.setToolTip("<span>Logarithmic scale for spectrogram.</span>")
        self.chk_log_spgr_time.setChecked(True)
        self.chk_log_spgr_time.setVisible(spgr_en)

        self.lbl_nfft_spgr_time = QLabel(to_html("&nbsp;N_FFT =", frmt='bi'), self)
        self.lbl_nfft_spgr_time.setVisible(spgr_en)
        self.led_nfft_spgr_time = QLineEdit(self)
        self.led_nfft_spgr_time.setText(str(self.nfft_spgr_time))
        self.led_nfft_spgr_time.setToolTip("<span>Number of FFT points per spectrogram segment.</span>")
        self.led_nfft_spgr_time.setVisible(spgr_en)

        self.lbl_ovlp_spgr_time = QLabel(to_html("&nbsp;N_OVLP =", frmt='bi'), self)
        self.lbl_ovlp_spgr_time.setVisible(spgr_en)
        self.led_ovlp_spgr_time = QLineEdit(self)
        self.led_ovlp_spgr_time.setText(str(self.ovlp_spgr_time))
        self.led_ovlp_spgr_time.setToolTip("<span>Number of overlap data points between spectrogram segments.</span>")
        self.led_ovlp_spgr_time.setVisible(spgr_en)

        self.lbl_mode_spgr_time = QLabel(to_html("&nbsp;Mode", frmt='bi'), self)
        self.lbl_mode_spgr_time.setVisible(spgr_en)
        self.cmb_mode_spgr_time = QComboBox(self)
        spgr_modes = [("PSD","psd"), ("Mag.","magnitude"),\
                      ("Angle","angle"), ("Phase","phase")]
        for i in spgr_modes:
            self.cmb_mode_spgr_time.addItem(*i)
        qset_cmb_box(self.cmb_mode_spgr_time, self.mode_spgr_time, data=True)
        self.cmb_mode_spgr_time.setToolTip("<span>Spectrogram display mode.</span>")
        self.cmb_mode_spgr_time.setVisible(spgr_en)

        self.lbl_byfs_spgr_time = QLabel(to_html("&nbsp;per f_S", frmt='b'), self)
        self.lbl_byfs_spgr_time.setVisible(spgr_en)
        self.chk_byfs_spgr_time = QCheckBox(self)
        self.chk_byfs_spgr_time.setObjectName("chk_log_spgr")
        self.chk_byfs_spgr_time.setToolTip("<span>Display spectral density i.e. scale by f_S</span>")
        self.chk_byfs_spgr_time.setChecked(True)
        self.chk_byfs_spgr_time.setVisible(spgr_en)


        # self.lbl_colorbar_time = QLabel(to_html("&nbsp;Col.bar", frmt='b'), self)
        # self.lbl_colorbar_time.setVisible(spgr_en)
        # self.chk_colorbar_time = QCheckBox(self)
        # self.chk_colorbar_time.setObjectName("chk_colorbar_time")
        # self.chk_colorbar_time.setToolTip("<span>Enable colorbar</span>")
        # self.chk_colorbar_time.setChecked(True)
        # self.chk_colorbar_time.setVisible(spgr_en)

        self.chk_fx_limits = QCheckBox("Min/max.", self)
        self.chk_fx_limits.setObjectName("chk_fx_limits")
        self.chk_fx_limits.setToolTip("<span>Display limits of fixpoint range.</span>")
        self.chk_fx_limits.setChecked(False)

        layH_ctrl_time = QHBoxLayout()
        layH_ctrl_time.addWidget(lbl_plt_time_title)
        layH_ctrl_time.addStretch(1)
        layH_ctrl_time.addWidget(self.lbl_plt_time_stim)
        layH_ctrl_time.addWidget(self.cmb_plt_time_stim)
        #
        layH_ctrl_time.addWidget(self.lbl_plt_time_stmq)
        layH_ctrl_time.addWidget(self.cmb_plt_time_stmq)
        #
        layH_ctrl_time.addWidget(lbl_plt_time_resp)
        layH_ctrl_time.addWidget(self.cmb_plt_time_resp)
        #
        layH_ctrl_time.addWidget(lbl_win_time)
        layH_ctrl_time.addWidget(self.chk_win_time)
        layH_ctrl_time.addStretch(1)
        layH_ctrl_time.addWidget(lbl_log_time)
        layH_ctrl_time.addWidget(self.chk_log_time)
        layH_ctrl_time.addWidget(self.lbl_log_bottom_time)
        layH_ctrl_time.addWidget(self.led_log_bottom_time)
        #
        layH_ctrl_time.addStretch(1)
        #
        layH_ctrl_time.addWidget(lbl_plt_time_spgr)
        layH_ctrl_time.addWidget(self.cmb_plt_time_spgr)
        layH_ctrl_time.addWidget(self.lbl_log_spgr_time)
        layH_ctrl_time.addWidget(self.chk_log_spgr_time)
        layH_ctrl_time.addWidget(self.lbl_nfft_spgr_time)
        layH_ctrl_time.addWidget(self.led_nfft_spgr_time)
        layH_ctrl_time.addWidget(self.lbl_ovlp_spgr_time)
        layH_ctrl_time.addWidget(self.led_ovlp_spgr_time)
        layH_ctrl_time.addWidget(self.lbl_mode_spgr_time)
        layH_ctrl_time.addWidget(self.cmb_mode_spgr_time)
        layH_ctrl_time.addWidget(self.lbl_byfs_spgr_time)
        layH_ctrl_time.addWidget(self.chk_byfs_spgr_time)

        layH_ctrl_time.addStretch(2)
        layH_ctrl_time.addWidget(self.chk_fx_limits)
        layH_ctrl_time.addStretch(10)

        #layH_ctrl_time.setContentsMargins(*params['wdg_margins'])

        self.wdg_ctrl_time = QWidget(self)
        self.wdg_ctrl_time.setLayout(layH_ctrl_time)
        # ---- end time domain ------------------

        # ---------------------------------------------------------------
        # Controls for frequency domain
        # ---------------------------------------------------------------
        lbl_plt_freq_title = QLabel("<b>View:</b>", self)

        self.lbl_plt_freq_stim = QLabel(to_html("Stimulus X", frmt='bi'), self)
        self.cmb_plt_freq_stim = QComboBox(self)
        self.cmb_plt_freq_stim.addItems(plot_styles_list)
        qset_cmb_box(self.cmb_plt_freq_stim, self.plt_freq_stim)
        self.cmb_plt_freq_stim.setToolTip("<span>Plot style for stimulus.</span>")

        self.lbl_plt_freq_stmq = QLabel(to_html("&nbsp;Fixp. Stim. X_Q", frmt='bi'), self)
        self.cmb_plt_freq_stmq = QComboBox(self)
        self.cmb_plt_freq_stmq.addItems(plot_styles_list)
        qset_cmb_box(self.cmb_plt_freq_stmq, self.plt_freq_stmq)
        self.cmb_plt_freq_stmq.setToolTip("<span>Plot style for <em>fixpoint</em> (quantized) stimulus.</span>")

        lbl_plt_freq_resp = QLabel(to_html("&nbsp;Response Y", frmt='bi'), self)
        self.cmb_plt_freq_resp = QComboBox(self)
        self.cmb_plt_freq_resp.addItems(plot_styles_list)
        qset_cmb_box(self.cmb_plt_freq_resp, self.plt_freq_resp)
        self.cmb_plt_freq_resp.setToolTip("<span>Plot style for response.</span>")

        lbl_log_freq = QLabel(to_html("dB", frmt='b'), self)
        self.chk_log_freq = QCheckBox(self)
        self.chk_log_freq.setObjectName("chk_log_freq")
        self.chk_log_freq.setToolTip("<span>Logarithmic scale for y-axis.</span>")
        self.chk_log_freq.setChecked(True)

        self.lbl_log_bottom_freq = QLabel(to_html("min =", frmt='bi'), self)
        self.lbl_log_bottom_freq.setVisible(self.chk_log_freq.isChecked())
        self.led_log_bottom_freq = QLineEdit(self)
        self.led_log_bottom_freq.setText(str(self.bottom_f))
        self.led_log_bottom_freq.setToolTip("<span>Minimum display value for log. scale.</span>")
        self.led_log_bottom_freq.setVisible(self.chk_log_freq.isChecked())

        if not self.chk_log_freq.isChecked():
            self.bottom_f = 0
            
        lbl_re_im_freq = QLabel(to_html("Re / Im", frmt='b'), self)
        self.chk_re_im_freq = QCheckBox(self)
        self.chk_re_im_freq.setObjectName("chk_re_im_freq")
        self.chk_re_im_freq.setToolTip("<span>Show real and imaginary part of spectrum</span>")
        self.chk_re_im_freq.setChecked(False)

        self.lbl_win_fft = QLabel(to_html("Window", frmt='bi'), self)
        self.cmb_win_fft = QComboBox(self)
        self.cmb_win_fft.addItems(get_window_names())
        self.cmb_win_fft.setToolTip("FFT window type.")
        qset_cmb_box(self.cmb_win_fft, self.window_name)

        self.cmb_win_fft_variant = QComboBox(self)
        self.cmb_win_fft_variant.setToolTip("FFT window variant.")
        self.cmb_win_fft_variant.setVisible(False)

        self.lblWinPar1 = QLabel("Param1")
        self.ledWinPar1 = QLineEdit(self)
        self.ledWinPar1.setText("1")
        self.ledWinPar1.setObjectName("ledWinPar1")

        self.lblWinPar2 = QLabel("Param2")
        self.ledWinPar2 = QLineEdit(self)
        self.ledWinPar2.setText("2")
        self.ledWinPar2.setObjectName("ledWinPar2")

        self.chk_Hf = QCheckBox(self)
        self.chk_Hf.setObjectName("chk_Hf")
        self.chk_Hf.setToolTip("<span>Show ideal frequency response, calculated "
                               "from the filter coefficients.</span>")
        self.chk_Hf.setChecked(False)
        self.chk_Hf_lbl = QLabel(to_html("H_id (f)", frmt="bi"), self)

        lbl_show_info_freq = QLabel(to_html("Info", frmt='b'), self)
        self.chk_show_info_freq = QCheckBox(self)
        self.chk_show_info_freq.setObjectName("chk_show_info_freq")
        self.chk_show_info_freq.setToolTip("<span>Show infos about signal power "
                                           "and window properties.</span>")
        self.chk_show_info_freq.setChecked(False)

        layH_ctrl_freq = QHBoxLayout()
        layH_ctrl_freq.addWidget(lbl_plt_freq_title)
        layH_ctrl_freq.addStretch(1)
        layH_ctrl_freq.addWidget(self.lbl_plt_freq_stim)
        layH_ctrl_freq.addWidget(self.cmb_plt_freq_stim)
        #
        layH_ctrl_freq.addWidget(self.lbl_plt_freq_stmq)
        layH_ctrl_freq.addWidget(self.cmb_plt_freq_stmq)
        #
        layH_ctrl_freq.addWidget(lbl_plt_freq_resp)
        layH_ctrl_freq.addWidget(self.cmb_plt_freq_resp)
        #
        layH_ctrl_freq.addWidget(self.chk_Hf_lbl)
        layH_ctrl_freq.addWidget(self.chk_Hf)
        layH_ctrl_freq.addStretch(1)
        layH_ctrl_freq.addWidget(lbl_log_freq)
        layH_ctrl_freq.addWidget(self.chk_log_freq)
        layH_ctrl_freq.addWidget(self.lbl_log_bottom_freq)
        layH_ctrl_freq.addWidget(self.led_log_bottom_freq)
        layH_ctrl_freq.addStretch(1)
        layH_ctrl_freq.addWidget(lbl_re_im_freq)
        layH_ctrl_freq.addWidget(self.chk_re_im_freq)
        layH_ctrl_freq.addStretch(2)
        layH_ctrl_freq.addWidget(self.lbl_win_fft)
        layH_ctrl_freq.addWidget(self.cmb_win_fft)
        layH_ctrl_freq.addWidget(self.cmb_win_fft_variant)
        layH_ctrl_freq.addWidget(self.lblWinPar1)
        layH_ctrl_freq.addWidget(self.ledWinPar1)
        layH_ctrl_freq.addWidget(self.lblWinPar2)
        layH_ctrl_freq.addWidget(self.ledWinPar2)
        layH_ctrl_freq.addStretch(1)
        layH_ctrl_freq.addWidget(lbl_show_info_freq)
        layH_ctrl_freq.addWidget(self.chk_show_info_freq)
        layH_ctrl_freq.addStretch(10)

        #layH_ctrl_freq.setContentsMargins(*params['wdg_margins'])

        self.wdg_ctrl_freq = QWidget(self)
        self.wdg_ctrl_freq.setLayout(layH_ctrl_freq)
        # ---- end Frequency Domain ------------------

        # ---------------------------------------------------------------
        # Controls for stimuli
        # ---------------------------------------------------------------

        lbl_title_stim = QLabel("<b>Stimulus:</b>", self)

        self.lblStimulus = QLabel(to_html("Type", frmt='bi'), self)
        self.cmbStimulus = QComboBox(self)
        self.cmbStimulus.addItems(["None","Impulse","Step","StepErr","Cos","Sine", "Chirp",
                                   "Triang","Saw","Rect","Comb","AM","PM / FM","Formula"])
        self.cmbStimulus.setToolTip("Stimulus type.")
        qset_cmb_box(self.cmbStimulus, self.stim)

        self.chk_stim_bl = QCheckBox("BL", self)
        self.chk_stim_bl.setToolTip("<span>The signal is bandlimited to the Nyquist frequency "
                                    "to avoid aliasing. However, it is much slower to generate "
                                    "than the regular version.</span>")
        self.chk_stim_bl.setChecked(True)
        self.chk_stim_bl.setObjectName("stim_bl")

        self.cmbChirpMethod = QComboBox(self)
        for t in [("Lin","Linear"),("Square","Quadratic"),("Log", "Logarithmic"), ("Hyper", "Hyperbolic")]:
            self.cmbChirpMethod.addItem(*t)
        qset_cmb_box(self.cmbChirpMethod, self.chirp_method, data=False)

        self.chk_scale_impz_f = QCheckBox("Scale", self)
        self.chk_scale_impz_f.setToolTip("<span>Scale the FFT of the impulse response with <i>N<sub>FFT</sub></i> "
                                    "so that it has the same magnitude as |H(f)|. DC and Noise need to be "
                                    "turned off.</span>")
        self.chk_scale_impz_f.setChecked(True)
        self.chk_scale_impz_f.setObjectName("scale_impz_f")

        self.lblDC = QLabel(to_html("DC =", frmt='bi'), self)
        self.ledDC = QLineEdit(self)
        self.ledDC.setText(str(self.DC))
        self.ledDC.setToolTip("DC Level")
        self.ledDC.setObjectName("stimDC")

        layHCmbStim = QHBoxLayout()
        layHCmbStim.addWidget(self.cmbStimulus)
        layHCmbStim.addWidget(self.chk_stim_bl)
        layHCmbStim.addWidget(self.chk_scale_impz_f)
        layHCmbStim.addWidget(self.cmbChirpMethod)

        #----------------------------------------------
        self.lblAmp1 = QLabel(to_html("&nbsp;A_1", frmt='bi') + " =", self)
        self.ledAmp1 = QLineEdit(self)
        self.ledAmp1.setText(str(self.A1))
        self.ledAmp1.setToolTip("Stimulus amplitude, complex values like 3j - 1 are allowed")
        self.ledAmp1.setObjectName("stimAmp1")

        self.lblAmp2 = QLabel(to_html("&nbsp;A_2", frmt='bi') + " =", self)
        self.ledAmp2 = QLineEdit(self)
        self.ledAmp2.setText(str(self.A2))
        self.ledAmp2.setToolTip("Stimulus amplitude 2, complex values like 3j - 1 are allowed")
        self.ledAmp2.setObjectName("stimAmp2")

        #----------------------------------------------
        self.lblPhi1 = QLabel(to_html("&nbsp;&phi;_1", frmt='bi') + " =", self)
        self.ledPhi1 = QLineEdit(self)
        self.ledPhi1.setText(str(self.phi1))
        self.ledPhi1.setToolTip("Stimulus phase")
        self.ledPhi1.setObjectName("stimPhi1")
        self.lblPhU1 = QLabel(to_html("&deg;", frmt='b'), self)

        self.lblPhi2 = QLabel(to_html("&nbsp;&phi;_2", frmt='bi') + " =", self)
        self.ledPhi2 = QLineEdit(self)
        self.ledPhi2.setText(str(self.phi2))
        self.ledPhi2.setToolTip("Stimulus phase 2")
        self.ledPhi2.setObjectName("stimPhi2")
        self.lblPhU2 = QLabel(to_html("&deg;", frmt='b'), self)

        #----------------------------------------------
        self.lblFreq1 = QLabel(to_html("&nbsp;f_1", frmt='bi') + " =", self)
        self.ledFreq1 = QLineEdit(self)
        self.ledFreq1.setText(str(self.f1))
        self.ledFreq1.setToolTip("Stimulus frequency 1")
        self.ledFreq1.setObjectName("stimFreq1")
        self.lblFreqUnit1 = QLabel("f_S", self)

        self.lblFreq2 = QLabel(to_html("&nbsp;f_2", frmt='bi') + " =", self)
        self.ledFreq2 = QLineEdit(self)
        self.ledFreq2.setText(str(self.f2))
        self.ledFreq2.setToolTip("Stimulus frequency 2")
        self.ledFreq2.setObjectName("stimFreq2")
        self.lblFreqUnit2 = QLabel("f_S", self)
        
        #----------------------------------------------
        self.lblNoise = QLabel(to_html("&nbsp;Noise", frmt='bi'), self)
        self.cmbNoise = QComboBox(self)
        self.cmbNoise.addItems(["None","Gauss","Uniform","PRBS"])
        self.cmbNoise.setToolTip("Type of additive noise.")
        qset_cmb_box(self.cmbNoise, self.noise)

        self.lblNoi = QLabel("not initialized", self)
        self.ledNoi = QLineEdit(self)
        self.ledNoi.setText(str(self.noi))
        self.ledNoi.setToolTip("not initialized")
        self.ledNoi.setObjectName("stimNoi")
        
        layGStim = QGridLayout()
        
        layGStim.addWidget(self.lblStimulus, 0, 0)
        layGStim.addWidget(self.lblDC, 1, 0)

        layGStim.addLayout(layHCmbStim, 0, 1)
        layGStim.addWidget(self.ledDC,  1, 1)

        layGStim.addWidget(self.lblAmp1, 0, 2)
        layGStim.addWidget(self.lblAmp2, 1, 2)

        layGStim.addWidget(self.ledAmp1, 0, 3)
        layGStim.addWidget(self.ledAmp2, 1, 3)
        
        layGStim.addWidget(self.lblPhi1, 0, 4)
        layGStim.addWidget(self.lblPhi2, 1, 4)

        layGStim.addWidget(self.ledPhi1, 0, 5)
        layGStim.addWidget(self.ledPhi2, 1, 5)

        layGStim.addWidget(self.lblPhU1, 0, 6)
        layGStim.addWidget(self.lblPhU2, 1, 6)

        layGStim.addWidget(self.lblFreq1, 0, 7)
        layGStim.addWidget(self.lblFreq2, 1, 7)

        layGStim.addWidget(self.ledFreq1, 0, 8)
        layGStim.addWidget(self.ledFreq2, 1, 8)

        layGStim.addWidget(self.lblFreqUnit1, 0, 9)
        layGStim.addWidget(self.lblFreqUnit2, 1, 9)
        
        layGStim.addWidget(self.lblNoise, 0, 10)
        layGStim.addWidget(self.lblNoi, 1, 10)

        layGStim.addWidget(self.cmbNoise, 0, 11)
        layGStim.addWidget(self.ledNoi, 1, 11)

        #----------------------------------------------
        self.lblStimFormula = QLabel(to_html("x =", frmt='bi'), self)
        self.ledStimFormula = QLineEdit(self)
        self.ledStimFormula.setText(str(self.stim_formula))
        self.ledStimFormula.setToolTip("<span>Enter formula for stimulus in numexpr syntax"
                                  "</span>")
        self.ledStimFormula.setObjectName("stimFormula")

        layH_ctrl_stim_formula = QHBoxLayout()
        layH_ctrl_stim_formula.addWidget(self.lblStimFormula)
        layH_ctrl_stim_formula.addWidget(self.ledStimFormula,10)

        #----------------------------------------------
        #layG_ctrl_stim = QGridLayout()
        layH_ctrl_stim_par = QHBoxLayout()

        layH_ctrl_stim_par.addLayout(layGStim)

        layV_ctrl_stim = QVBoxLayout()
        layV_ctrl_stim.addLayout(layH_ctrl_stim_par)
        layV_ctrl_stim.addLayout(layH_ctrl_stim_formula)

        layH_ctrl_stim = QHBoxLayout()
        layH_ctrl_stim.addWidget(lbl_title_stim)
        layH_ctrl_stim.addStretch(1)
        layH_ctrl_stim.addLayout(layV_ctrl_stim)
        layH_ctrl_stim.addStretch(10)

        self.wdg_ctrl_stim = QWidget(self)
        self.wdg_ctrl_stim.setLayout(layH_ctrl_stim)
        # --------- end stimuli ---------------------------------

        # frequency widgets require special handling as they are scaled with f_s
        self.ledFreq1.installEventFilter(self)
        self.ledFreq2.installEventFilter(self)

        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        # --- run control ---
        self.led_N_start.editingFinished.connect(self.update_N)
        self.led_N_points.editingFinished.connect(self.update_N)

        # --- frequency control ---
        # careful! currentIndexChanged passes the current index to _update_win_fft
        self.cmb_win_fft.currentIndexChanged.connect(self._update_win_fft)
        self.ledWinPar1.editingFinished.connect(self._read_param1)
        self.ledWinPar2.editingFinished.connect(self._read_param2)

        # --- stimulus control ---
        self.chk_stim_options.clicked.connect(self._show_stim_options)

        self.chk_stim_bl.clicked.connect(self._enable_stim_widgets)
        self.cmbStimulus.currentIndexChanged.connect(self._enable_stim_widgets)

        self.cmbNoise.currentIndexChanged.connect(self._update_noi)
        self.ledNoi.editingFinished.connect(self._update_noi)
        self.ledAmp1.editingFinished.connect(self._update_amp1)
        self.ledAmp2.editingFinished.connect(self._update_amp2)
        self.ledPhi1.editingFinished.connect(self._update_phi1)
        self.ledPhi2.editingFinished.connect(self._update_phi2)
        self.cmbChirpMethod.currentIndexChanged.connect(self._update_chirp_method)
        self.ledDC.editingFinished.connect(self._update_DC)
        self.ledStimFormula.editingFinished.connect(self._update_stim_formula)

#------------------------------------------------------------------------------
    def eventFilter(self, source, event):
        """
        Filter all events generated by the monitored widgets. Source and type
        of all events generated by monitored objects are passed to this eventFilter,
        evaluated and passed on to the next hierarchy level.

        - When a QLineEdit widget gains input focus (``QEvent.FocusIn``), display
          the stored value from filter dict with full precision
        - When a key is pressed inside the text field, set the `spec_edited` flag
          to True.
        - When a QLineEdit widget loses input focus (``QEvent.FocusOut``), store
          current value normalized to f_S with full precision (only if
          ``spec_edited == True``) and display the stored value in selected format
        """

        def _store_entry(source):
            if self.spec_edited:
                if source.objectName() == "stimFreq1":
                   self.f1 = safe_eval(source.text(), self.f1 * fb.fil[0]['f_S'],
                                            return_type='float') / fb.fil[0]['f_S']
                   source.setText(str(params['FMT'].format(self.f1 * fb.fil[0]['f_S'])))

                elif source.objectName() == "stimFreq2":
                   self.f2 = safe_eval(source.text(), self.f2 * fb.fil[0]['f_S'],
                                            return_type='float') / fb.fil[0]['f_S']
                   source.setText(str(params['FMT'].format(self.f2 * fb.fil[0]['f_S'])))

                self.spec_edited = False # reset flag
                self.sig_tx.emit({'sender':__name__, 'ui_changed':'stim'})

#        if isinstance(source, QLineEdit):
#        if source.objectName() in {"stimFreq1","stimFreq2"}:
        if event.type() in {QEvent.FocusIn,QEvent.KeyPress, QEvent.FocusOut}:
            if event.type() == QEvent.FocusIn:
                self.spec_edited = False
                self.load_fs()
            elif event.type() == QEvent.KeyPress:
                self.spec_edited = True # entry has been changed
                key = event.key()
                if key in {Qt.Key_Return, Qt.Key_Enter}:
                    _store_entry(source)
                elif key == Qt.Key_Escape: # revert changes
                    self.spec_edited = False
                    if source.objectName() == "stimFreq1":
                        source.setText(str(params['FMT'].format(self.f1 * fb.fil[0]['f_S'])))
                    elif source.objectName() == "stimFreq2":
                        source.setText(str(params['FMT'].format(self.f2 * fb.fil[0]['f_S'])))

            elif event.type() == QEvent.FocusOut:
                _store_entry(source)

        # Call base class method to continue normal event processing:
        return super(PlotImpz_UI, self).eventFilter(source, event)

#-------------------------------------------------------------
    def _show_stim_options(self):
        """
        Hide / show panel with stimulus options
        """
        self.wdg_ctrl_stim.setVisible(self.chk_stim_options.isChecked())


    def _enable_stim_widgets(self):
        """ Enable / disable widgets depending on the selected stimulus"""
        self.stim = qget_cmb_box(self.cmbStimulus, data=False)
        f1_en = self.stim in {"Cos","Sine","Chirp","PM / FM","AM","Formula","Rect","Saw","Triang","Comb"}
        f2_en = self.stim in {"Cos","Sine","Chirp","PM / FM","AM","Formula"}
        dc_en = self.stim not in {"Step", "StepErr"}

        self.chk_stim_bl.setVisible(self.stim in {"Triang", "Saw", "Rect"})

        self.lblAmp1.setVisible(self.stim != "None")
        self.ledAmp1.setVisible(self.stim != "None")
        self.chk_scale_impz_f.setVisible(self.stim == 'Impulse')
        self.chk_scale_impz_f.setEnabled((self.noi == 0 or self.cmbNoise.currentText() == 'None')\
                                         and self.DC == 0)

        self.cmbChirpMethod.setVisible(self.stim == 'Chirp')

        self.lblPhi1.setVisible(f1_en)
        self.ledPhi1.setVisible(f1_en)
        self.lblPhU1.setVisible(f1_en)
        self.lblFreq1.setVisible(f1_en)
        self.ledFreq1.setVisible(f1_en)
        self.lblFreqUnit1.setVisible(f1_en)

        self.lblFreq2.setVisible(f2_en)
        self.ledFreq2.setVisible(f2_en)
        self.lblFreqUnit2.setVisible(f2_en)
        self.lblAmp2.setVisible(f2_en and self.stim != "Chirp")
        self.ledAmp2.setVisible(f2_en and self.stim != "Chirp")
        self.lblPhi2.setVisible(f2_en and self.stim != "Chirp")
        self.ledPhi2.setVisible(f2_en and self.stim != "Chirp")
        self.lblPhU2.setVisible(f2_en and self.stim != "Chirp")

        self.lblDC.setVisible(dc_en)
        self.ledDC.setVisible(dc_en)

        self.lblStimFormula.setVisible(self.stim == "Formula")
        self.ledStimFormula.setVisible(self.stim == "Formula")

        self.sig_tx.emit({'sender':__name__, 'ui_changed':'stim'})

#-------------------------------------------------------------
    def load_fs(self):
        """
        Reload sampling frequency from filter dictionary and transform
        the displayed frequency spec input fields according to the units
        setting (i.e. f_S). Spec entries are always stored normalized w.r.t. f_S
        in the dictionary; when f_S or the unit are changed, only the displayed values
        of the frequency entries are updated, not the dictionary!

        load_fs() is called during init and when the frequency unit or the
        sampling frequency have been changed.

        It should be called when sigSpecsChanged or sigFilterDesigned is emitted
        at another place, indicating that a reload is required.
        """

        # recalculate displayed freq spec values for (maybe) changed f_S
        if self.ledFreq1.hasFocus():
            # widget has focus, show full precision
            self.ledFreq1.setText(str(self.f1 * fb.fil[0]['f_S']))
        elif self.ledFreq2.hasFocus():
            # widget has focus, show full precision
            self.ledFreq2.setText(str(self.f2 * fb.fil[0]['f_S']))
        else:
            # widgets have no focus, round the display
            self.ledFreq1.setText(
                str(params['FMT'].format(self.f1 * fb.fil[0]['f_S'])))
            self.ledFreq2.setText(
                str(params['FMT'].format(self.f2 * fb.fil[0]['f_S'])))


    def _update_amp1(self):
        """ Update value for self.A1 from QLineEditWidget"""
        self.A1 = safe_eval(self.ledAmp1.text(), self.A1, return_type='cmplx')
        self.ledAmp1.setText(str(self.A1))
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'a1'})

    def _update_amp2(self):
        """ Update value for self.A2 from the QLineEditWidget"""
        self.A2 = safe_eval(self.ledAmp2.text(), self.A2, return_type='cmplx')
        self.ledAmp2.setText(str(self.A2))
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'a2'})

    def _update_phi1(self):
        """ Update value for self.phi1 from QLineEditWidget"""
        self.phi1 = safe_eval(self.ledPhi1.text(), self.phi1, return_type='float')
        self.ledPhi1.setText(str(self.phi1))
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'phi1'})

    def _update_phi2(self):
        """ Update value for self.phi2 from the QLineEditWidget"""
        self.phi2 = safe_eval(self.ledPhi2.text(), self.phi2, return_type='float')
        self.ledPhi2.setText(str(self.phi2))
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'phi2'})

    def _update_chirp_method(self):
        """ Update value for self.chirp_method from the QLineEditWidget"""
        self.chirp_method = qget_cmb_box(self.cmbChirpMethod) # read current data string
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'chirp_method'})


    def _update_noi(self):
        """ Update type + value + label for self.noi for noise"""
        self.noise = qget_cmb_box(self.cmbNoise, data=False).lower()
        self.lblNoi.setVisible(self.noise!='none')
        self.ledNoi.setVisible(self.noise!='none')
        if self.noise!='none':
            self.noi = safe_eval(self.ledNoi.text(), 0, return_type='cmplx')
            self.ledNoi.setText(str(self.noi))
            if self.noise == 'gauss':
                self.lblNoi.setText(to_html("&nbsp;&sigma; =", frmt='bi'))
                self.ledNoi.setToolTip("<span>Standard deviation of statistical process,"
                                       "noise power is <i>P</i> = &sigma;<sup>2</sup></span>")
            elif self.noise == 'uniform':
                self.lblNoi.setText(to_html("&nbsp;&Delta; =", frmt='bi'))
                self.ledNoi.setToolTip("<span>Interval size for uniformly distributed process "
                                       "(e.g. quantization step size for quantization noise), "
                                       "centered around 0. Noise power is "
                                       "<i>P</i> = &Delta;<sup>2</sup>/12.</span>")
            elif self.noise == 'prbs':
                self.lblNoi.setText(to_html("&nbsp;A =", frmt='bi'))
                self.ledNoi.setToolTip("<span>Amplitude of bipolar Pseudorandom Binary Sequence. "
                                       "Noise power is <i>P</i> = A<sup>2</sup>.</span>")

        self.sig_tx.emit({'sender':__name__, 'ui_changed':'noi'})

    def _update_DC(self):
        """ Update value for self.DC from the QLineEditWidget"""
        self.DC = safe_eval(self.ledDC.text(), 0, return_type='cmplx')
        self.ledDC.setText(str(self.DC))
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'dc'})

    def _update_stim_formula(self):
        """Update string with formula to be evaluated by numexpr"""
        self.stim_formula = self.ledStimFormula.text().strip()
        self.ledStimFormula.setText(str(self.stim_formula))
        self.sig_tx.emit({'sender':__name__, 'ui_changed':'stim_formula'})

    # -------------------------------------------------------------------------

    def update_N(self, emit=True):
        # called directly from impz or locally
        # between local triggering and updates upstream
        """
        Update values for self.N and self.N_start from the QLineEditWidget,
        update the window and fire "ui_changed"
        """
        if not isinstance(emit, bool):
            logger.error("update N: emit={0}".format(emit))
        self.N_start = safe_eval(self.led_N_start.text(), self.N_start, return_type='int', sign='poszero')
        self.led_N_start.setText(str(self.N_start)) # update widget
        self.N_user = safe_eval(self.led_N_points.text(), self.N_user, return_type='int', sign='poszero')

        if self.N_user == 0: # automatic calculation
            self.N = self.calc_n_points(self.N_user) # widget remains set to 0
            self.led_N_points.setText("0") # update widget
        else:
            self.N = self.N_user
            self.led_N_points.setText(str(self.N)) # update widget

        self.N_end = self.N + self.N_start # total number of points to be calculated: N + N_start

        # FFT window needs to be updated due to changed number of data points
        self._update_win_fft(emit=False) # don't emit anything here
        if emit:
            self.sig_tx.emit({'sender':__name__, 'ui_changed':'N'})


    def _read_param1(self):
        """Read out textbox when editing is finished and update dict and fft window"""
        param = safe_eval(self.ledWinPar1.text(), self.win_dict['par'][0]['val'],
                          return_type='float')
        if param < self.win_dict['par'][0]['min']:
            param = self.win_dict['par'][0]['min']
        elif param > self.win_dict['par'][0]['max']:
            param = self.win_dict['par'][0]['max']
        self.ledWinPar1.setText(str(param))
        self.win_dict['par'][0]['val'] = param
        self._update_win_fft()

    def _read_param2(self):
        """Read out textbox when editing is finished and update dict and fft window"""
        param = safe_eval(self.ledWinPar2.text(), self.win_dict['par'][1]['val'],
                          return_type='float')
        if param < self.win_dict['par'][1]['min']:
            param = self.win_dict['par'][1]['min']
        elif param > self.win_dict['par'][1]['max']:
            param = self.win_dict['par'][1]['max']
        self.ledWinPar2.setText(str(param))
        self.win_dict['par'][1]['val'] = param
        self._update_win_fft()

#------------------------------------------------------------------------------
    def _update_win_fft(self, arg=None, emit=True):
        """
        Update window type for FFT  with different arguments:

        - signal-slot connection to combo-box -> index (int), absorbed by `arg`
                                                 emit is not set -> emit=True
        - called by _read_param() -> empty -> emit=True
        - called by update_N(emit=False)

        """
        if not isinstance(emit, bool):
            logger.error("update win: emit={0}".format(emit))
        self.window_name = qget_cmb_box(self.cmb_win_fft, data=False)
        self.win = calc_window_function(self.win_dict, self.window_name,
                                        N=self.N, sym=False)

        n_par = self.win_dict['n_par']

        self.lblWinPar1.setVisible(n_par > 0)
        self.ledWinPar1.setVisible(n_par > 0)
        self.lblWinPar2.setVisible(n_par > 1)
        self.ledWinPar2.setVisible(n_par > 1)

        if n_par > 0:
            self.lblWinPar1.setText(to_html(self.win_dict['par'][0]['name'] + " =", frmt='bi'))
            self.ledWinPar1.setText(str(self.win_dict['par'][0]['val']))
            self.ledWinPar1.setToolTip(self.win_dict['par'][0]['tooltip'])

        if n_par > 1:
            self.lblWinPar2.setText(to_html(self.win_dict['par'][1]['name'] + " =", frmt='bi'))
            self.ledWinPar2.setText(str(self.win_dict['par'][1]['val']))
            self.ledWinPar2.setToolTip(self.win_dict['par'][1]['tooltip'])


        self.nenbw = self.N * np.sum(np.square(self.win)) / (np.square(np.sum(self.win)))

        self.cgain = np.sum(self.win) / self.N # coherent gain
        self.win /= self.cgain # correct gain for periodic signals

        # only emit a signal for local triggers to prevent infinite loop:
        # - signal-slot connection passes a bool or an integer
        # - local function calls don't pass anything
        if emit is True:
            self.sig_tx.emit({'sender':__name__, 'ui_changed':'win'})
        # ... but always notify the FFT widget via sig_tx_fft
        self.sig_tx_fft.emit({'sender':__name__, 'view_changed':'win'})

    #------------------------------------------------------------------------------
    def show_fft_win(self):
        """
        Pop-up FFT window
        """
        if self.but_fft_win.isChecked():
            qstyle_widget(self.but_fft_win, "changed")
        else:
            qstyle_widget(self.but_fft_win, "normal")

        if self.fft_window is None: # no handle to the window? Create a new instance
            if self.but_fft_win.isChecked():
                # Important: Handle to window must be class attribute otherwise it
                # (and the attached window) is deleted immediately when it goes out of scope
                self.fft_window = Plot_FFT_win(self, win_dict=self.win_dict, sym=False,
                                               title="pyFDA Spectral Window Viewer")
                self.sig_tx_fft.connect(self.fft_window.sig_rx)
                self.fft_window.sig_tx.connect(self.close_fft_win)
                self.fft_window.show() # modeless i.e. non-blocking popup window
        else:
            if not self.but_fft_win.isChecked():
                if self.fft_window is None:
                    logger.warning("FFT window is already closed!")
                else:
                    self.fft_window.close()

    def close_fft_win(self):
        self.fft_window = None
        self.but_fft_win.setChecked(False)
        qstyle_widget(self.but_fft_win, "normal")


#------------------------------------------------------------------------------
    def calc_n_points(self, N_user = 0):
        """
        Calculate number of points to be displayed, depending on type of filter
        (FIR, IIR) and user input. If the user selects 0 points, the number is
        calculated automatically.

        An improvement would be to calculate the dominant pole and the corresponding
        settling time.
        """
        if N_user == 0: # set number of data points automatically
            if fb.fil[0]['ft'] == 'IIR':
                N = 100
            else:
                N = min(len(fb.fil[0]['ba'][0]),100) # FIR: N = number of coefficients (max. 100)
        else:
            N = N_user

        return N
コード例 #5
0
class PlotImpz_UI(QWidget):
    """
    Create the UI for the PlotImpz class
    """
    # incoming: not implemented at the moment, update_N is triggered directly
    # by plot_impz
    # sig_rx = pyqtSignal(object)
    # outgoing: from various UI elements to PlotImpz ('ui_changed':'xxx')
    sig_tx = pyqtSignal(object)
    # outgoing: to fft related widgets (FFT window widget, qfft_win_select)
    sig_tx_fft = pyqtSignal(object)

    from pyfda.libs.pyfda_qt_lib import emit

    # ------------------------------------------------------------------------------
    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from
        - FFT window widget
        - qfft_win_select
        """

        # logger.debug("PROCESS_SIG_RX - vis: {0}\n{1}"
        #              .format(self.isVisible(), pprint_log(dict_sig)))

        if 'id' in dict_sig and dict_sig['id'] == id(self):
            logger.warning("Stopped infinite loop:\n{0}".format(
                pprint_log(dict_sig)))
            return

        # --- signals coming from the FFT window widget or the FFT window selector
        if dict_sig['class'] in {'Plot_FFT_win', 'QFFTWinSelector'}:
            if 'closeEvent' in dict_sig:  # hide FFT window widget and return
                self.hide_fft_wdg()
                return
            else:
                # check for value 'fft_win*':
                if 'view_changed' in dict_sig and 'fft_win' in dict_sig[
                        'view_changed']:
                    # local connection to FFT window widget and qfft_win_select
                    self.emit(dict_sig, sig_name='sig_tx_fft')
                    # global connection to e.g. plot_impz
                    self.emit(dict_sig)

# ------------------------------------------------------------------------------

    def __init__(self):
        super().__init__()
        """
        Intitialize the widget, consisting of:
        - top chkbox row
        - coefficient table
        - two bottom rows with action buttons
        """
        # initial settings
        self.N_start = 0
        self.N_user = 0
        self.N = 0
        self.N_frame_user = 0
        self.N_frame = 0

        # time
        self.plt_time_resp = "stem"
        self.plt_time_stim = "line"
        self.plt_time_stmq = "none"
        self.plt_time_spgr = "none"

        self.bottom_t = -80  # initial value for log. scale (time)
        self.time_nfft_spgr = 256  # number of fft points per spectrogram segment
        self.time_ovlp_spgr = 128  # number of overlap points between spectrogram segments
        self.mode_spgr_time = "psd"

        # frequency
        self.cmb_freq_display_item = "mag"
        self.plt_freq_resp = "line"
        self.plt_freq_stim = "none"
        self.plt_freq_stmq = "none"

        self.bottom_f = -120  # initial value for log. scale
        self.param = None

        self.f_scale = fb.fil[0]['f_S']
        self.t_scale = fb.fil[0]['T_S']
        # list of windows that are available for FFT analysis
        win_names_list = [
            "Boxcar", "Rectangular", "Barthann", "Bartlett", "Blackman",
            "Blackmanharris", "Bohman", "Cosine", "Dolph-Chebyshev", "Flattop",
            "General Gaussian", "Gauss", "Hamming", "Hann", "Kaiser",
            "Nuttall", "Parzen", "Slepian", "Triangular", "Tukey"
        ]
        self.cur_win_name = "Rectangular"  # set initial window type

        # initialize windows dict with the list above
        self.win_dict = get_windows_dict(win_names_list=win_names_list,
                                         cur_win_name=self.cur_win_name)

        # instantiate FFT window with default windows dict
        self.fft_widget = Plot_FFT_win(self,
                                       self.win_dict,
                                       sym=False,
                                       title="pyFDA Spectral Window Viewer")
        # hide window initially, this is modeless i.e. a non-blocking popup window
        self.fft_widget.hide()

        # data / icon / tooltipp (none) for plotting styles
        self.plot_styles_list = [
            ("Plot style"), ("none", QIcon(":/plot_style-none"), "off"),
            ("dots*", QIcon(":/plot_style-mkr"), "markers only"),
            ("line", QIcon(":/plot_style-line"), "line"),
            ("line*", QIcon(":/plot_style-line-mkr"), "line + markers"),
            ("stem", QIcon(":/plot_style-stem"), "stems"),
            ("stem*", QIcon(":/plot_style-stem-mkr"), "stems + markers"),
            ("steps", QIcon(":/plot_style-steps"), "steps"),
            ("steps*", QIcon(":/plot_style-steps-mkr"), "steps + markers")
        ]

        self.cmb_time_spgr_items = [
            "<span>Show Spectrogram for selected signal.</span>",
            ("none", "None", ""), ("xn", "x[n]", "input"),
            ("xqn", "x_q[n]", "quantized input"), ("yn", "y[n]", "output")
        ]

        self.cmb_mode_spgr_time_items = [
            "<span>Spectrogram display mode.</span>",
            ("psd", "PSD",
             "<span>Power Spectral Density, either per bin or referred to "
             "<i>f<sub>S</sub></i></span>"),
            ("magnitude", "Mag.", "Signal magnitude"),
            ("angle", "Angle", "Phase, wrapped to &pm; &pi;"),
            ("phase", "Phase", "Phase (unwrapped)")
        ]
        #        self.N

        self.cmb_freq_display_items = [
            "<span>Select how to display the spectrum.</span>",
            ("mag", "Magnitude", "<span>Spectral magnitude</span>"),
            ("mag_phi", "Mag. / Phase", "<span>Magnitude and phase.</span>"),
            ("re_im", "Re. / Imag.",
             "<span>Real and imaginary part of spectrum.</span>")
        ]

        self._construct_UI()
        #        self._enable_stim_widgets()
        self.update_N(emit=False)  # also updates window function and win_dict
#        self._update_noi()

    def _construct_UI(self):
        # ----------- ---------------------------------------------------
        # Run control widgets
        # ---------------------------------------------------------------
        # self.but_auto_run = QPushButtonRT(text=to_html("Auto", frmt="b"), margin=0)
        self.but_auto_run = QPushButton(" Auto", self)
        self.but_auto_run.setObjectName("but_auto_run")
        self.but_auto_run.setToolTip(
            "<span>Update response automatically when "
            "parameters have been changed.</span>")
        # self.but_auto_run.setMaximumWidth(qtext_width(text=" Auto "))
        self.but_auto_run.setCheckable(True)
        self.but_auto_run.setChecked(True)

        but_height = self.but_auto_run.sizeHint().height()

        self.but_run = QPushButton(self)
        self.but_run.setIcon(QIcon(":/play.svg"))

        self.but_run.setIconSize(QSize(but_height, but_height))
        self.but_run.setFixedSize(QSize(2 * but_height, but_height))
        self.but_run.setToolTip("Run simulation")
        self.but_run.setEnabled(True)

        self.cmb_sim_select = QComboBox(self)
        self.cmb_sim_select.addItems(["Float", "Fixpoint"])
        qset_cmb_box(self.cmb_sim_select, "Float")
        self.cmb_sim_select.setToolTip("<span>Simulate floating-point or "
                                       "fixpoint response.</span>")

        self.lbl_N_points = QLabel(to_html("N", frmt='bi') + " =", self)
        self.led_N_points = QLineEdit(self)
        self.led_N_points.setText(str(self.N))
        self.led_N_points.setToolTip(
            "<span>Last data point. "
            "<i>N</i> = 0 tries to choose for you.</span>")
        self.led_N_points.setMaximumWidth(qtext_width(N_x=8))
        self.lbl_N_start = QLabel(to_html("N_0", frmt='bi') + " =", self)
        self.led_N_start = QLineEdit(self)
        self.led_N_start.setText(str(self.N_start))
        self.led_N_start.setToolTip("<span>First point to plot.</span>")
        self.led_N_start.setMaximumWidth(qtext_width(N_x=8))

        self.lbl_N_frame = QLabel(to_html("&Delta;N", frmt='bi') + " =", self)
        self.led_N_frame = QLineEdit(self)
        self.led_N_frame.setText(str(self.N_frame))
        self.led_N_frame.setToolTip(
            "<span>Frame length; longer frames calculate faster but calculation cannot "
            "be stopped so quickly. "
            "<i>&Delta;N</i> = 0 calculates all samples in one frame.</span>")
        self.led_N_frame.setMaximumWidth(qtext_width(N_x=8))

        self.prg_wdg = QProgressBar(self)
        self.prg_wdg.setFixedHeight(but_height)
        self.prg_wdg.setFixedWidth(qtext_width(N_x=6))
        self.prg_wdg.setMinimum(0)
        self.prg_wdg.setValue(0)

        self.but_toggle_stim_options = PushButton(" Stimuli ", checked=True)
        self.but_toggle_stim_options.setObjectName("but_stim_options")
        self.but_toggle_stim_options.setToolTip(
            "<span>Show / hide stimulus options.</span>")

        self.lbl_stim_cmplx_warn = QLabel(self)
        self.lbl_stim_cmplx_warn = QLabel(to_html("Cmplx!", frmt='b'), self)
        self.lbl_stim_cmplx_warn.setToolTip(
            '<span>Signal is complex valued; '
            'single-sided and H<sub>id</sub> spectra may be wrong.</span>')
        self.lbl_stim_cmplx_warn.setStyleSheet("background-color : yellow;"
                                               "border : 1px solid grey")

        self.but_fft_wdg = QPushButton(self)
        self.but_fft_wdg.setIcon(QIcon(":/fft.svg"))
        self.but_fft_wdg.setIconSize(QSize(but_height, but_height))
        self.but_fft_wdg.setFixedSize(QSize(int(1.5 * but_height), but_height))
        self.but_fft_wdg.setToolTip(
            '<span>Show / hide FFT widget (select window type '
            ' and display its properties).</span>')
        self.but_fft_wdg.setCheckable(True)
        self.but_fft_wdg.setChecked(False)

        self.qfft_win_select = QFFTWinSelector(self, self.win_dict)

        self.but_fx_scale = PushButton(" FX:Int ")
        self.but_fx_scale.setObjectName("but_fx_scale")
        self.but_fx_scale.setToolTip(
            "<span>Display data with integer (fixpoint) scale.</span>")

        self.but_fx_range = PushButton(" FX:Range")
        self.but_fx_range.setObjectName("but_fx_limits")
        self.but_fx_range.setToolTip(
            "<span>Display limits of fixpoint range.</span>")

        layH_ctrl_run = QHBoxLayout()
        layH_ctrl_run.addWidget(self.but_auto_run)
        layH_ctrl_run.addWidget(self.but_run)
        layH_ctrl_run.addWidget(self.cmb_sim_select)
        layH_ctrl_run.addSpacing(10)
        layH_ctrl_run.addWidget(self.lbl_N_start)
        layH_ctrl_run.addWidget(self.led_N_start)
        layH_ctrl_run.addWidget(self.lbl_N_points)
        layH_ctrl_run.addWidget(self.led_N_points)
        layH_ctrl_run.addWidget(self.lbl_N_frame)
        layH_ctrl_run.addWidget(self.led_N_frame)
        layH_ctrl_run.addWidget(self.prg_wdg)

        layH_ctrl_run.addSpacing(20)
        layH_ctrl_run.addWidget(self.but_toggle_stim_options)
        layH_ctrl_run.addSpacing(5)
        layH_ctrl_run.addWidget(self.lbl_stim_cmplx_warn)
        layH_ctrl_run.addSpacing(20)
        layH_ctrl_run.addWidget(self.but_fft_wdg)
        layH_ctrl_run.addWidget(self.qfft_win_select)
        layH_ctrl_run.addSpacing(20)
        layH_ctrl_run.addWidget(self.but_fx_scale)
        layH_ctrl_run.addWidget(self.but_fx_range)
        layH_ctrl_run.addStretch(10)

        # layH_ctrl_run.setContentsMargins(*params['wdg_margins'])

        self.wdg_ctrl_run = QWidget(self)
        self.wdg_ctrl_run.setLayout(layH_ctrl_run)
        # --- end of run control ----------------------------------------

        # ----------- ---------------------------------------------------
        # Controls for time domain
        # ---------------------------------------------------------------
        self.lbl_plt_time_stim = QLabel(to_html("Stim. x", frmt='bi'), self)
        self.cmb_plt_time_stim = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_time_stim, self.plot_styles_list,
                          self.plt_time_stim)
        self.cmb_plt_time_stim.setToolTip(
            "<span>Plot style for stimulus.</span>")

        self.lbl_plt_time_stmq = QLabel(
            to_html("&nbsp;&nbsp;Fixp. Stim. x_Q", frmt='bi'), self)
        self.cmb_plt_time_stmq = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_time_stmq, self.plot_styles_list,
                          self.plt_time_stmq)
        self.cmb_plt_time_stmq.setToolTip(
            "<span>Plot style for <em>fixpoint</em> "
            "(quantized) stimulus.</span>")

        lbl_plt_time_resp = QLabel(to_html("&nbsp;&nbsp;Resp. y", frmt='bi'),
                                   self)
        self.cmb_plt_time_resp = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_time_resp, self.plot_styles_list,
                          self.plt_time_resp)
        self.cmb_plt_time_resp.setToolTip(
            "<span>Plot style for response.</span>")

        self.lbl_win_time = QLabel(to_html("&nbsp;&nbsp;Win", frmt='bi'), self)
        self.chk_win_time = QCheckBox(self)
        self.chk_win_time.setObjectName("chk_win_time")
        self.chk_win_time.setToolTip(
            '<span>Plot FFT windowing function.</span>')
        self.chk_win_time.setChecked(False)

        line1 = QVLine()
        line2 = QVLine(width=5)

        self.but_log_time = PushButton(" dB")
        self.but_log_time.setObjectName("but_log_time")
        self.but_log_time.setToolTip(
            "<span>Logarithmic scale for y-axis.</span>")

        lbl_plt_time_spgr = QLabel(to_html("Spectrogram", frmt='bi'), self)
        self.cmb_plt_time_spgr = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_time_spgr, self.cmb_time_spgr_items,
                          self.plt_time_spgr)
        spgr_en = self.plt_time_spgr != "none"

        self.cmb_mode_spgr_time = QComboBox(self)
        qcmb_box_populate(self.cmb_mode_spgr_time,
                          self.cmb_mode_spgr_time_items, self.mode_spgr_time)
        self.cmb_mode_spgr_time.setVisible(spgr_en)

        self.lbl_byfs_spgr_time = QLabel(to_html("&nbsp;per f_S", frmt='b'),
                                         self)
        self.lbl_byfs_spgr_time.setVisible(spgr_en)
        self.chk_byfs_spgr_time = QCheckBox(self)
        self.chk_byfs_spgr_time.setObjectName("chk_log_spgr")
        self.chk_byfs_spgr_time.setToolTip("<span>Display spectral density "
                                           "i.e. scale by f_S</span>")
        self.chk_byfs_spgr_time.setChecked(True)
        self.chk_byfs_spgr_time.setVisible(spgr_en)

        self.but_log_spgr_time = QPushButton("dB")
        self.but_log_spgr_time.setMaximumWidth(qtext_width(text=" dB"))
        self.but_log_spgr_time.setObjectName("but_log_spgr")
        self.but_log_spgr_time.setToolTip(
            "<span>Logarithmic scale for spectrogram.</span>")
        self.but_log_spgr_time.setCheckable(True)
        self.but_log_spgr_time.setChecked(True)
        self.but_log_spgr_time.setVisible(spgr_en)

        self.lbl_time_nfft_spgr = QLabel(to_html("&nbsp;N_FFT =", frmt='bi'),
                                         self)
        self.lbl_time_nfft_spgr.setVisible(spgr_en)
        self.led_time_nfft_spgr = QLineEdit(self)
        self.led_time_nfft_spgr.setText(str(self.time_nfft_spgr))
        self.led_time_nfft_spgr.setToolTip("<span>Number of FFT points per "
                                           "spectrogram segment.</span>")
        self.led_time_nfft_spgr.setVisible(spgr_en)

        self.lbl_time_ovlp_spgr = QLabel(to_html("&nbsp;N_OVLP =", frmt='bi'),
                                         self)
        self.lbl_time_ovlp_spgr.setVisible(spgr_en)
        self.led_time_ovlp_spgr = QLineEdit(self)
        self.led_time_ovlp_spgr.setText(str(self.time_ovlp_spgr))
        self.led_time_ovlp_spgr.setToolTip(
            "<span>Number of overlap data points "
            "between spectrogram segments.</span>")
        self.led_time_ovlp_spgr.setVisible(spgr_en)

        self.lbl_log_bottom_time = QLabel(to_html("min =", frmt='bi'), self)
        self.led_log_bottom_time = QLineEdit(self)
        self.led_log_bottom_time.setText(str(self.bottom_t))
        self.led_log_bottom_time.setMaximumWidth(qtext_width(N_x=8))
        self.led_log_bottom_time.setToolTip(
            "<span>Minimum display value for time and spectrogram plots with log. scale."
            "</span>")
        self.lbl_log_bottom_time.setVisible(
            self.but_log_time.isChecked()
            or (spgr_en and self.but_log_spgr_time.isChecked()))
        self.led_log_bottom_time.setVisible(
            self.lbl_log_bottom_time.isVisible())

        # self.lbl_colorbar_time = QLabel(to_html("&nbsp;Col.bar", frmt='b'), self)
        # self.lbl_colorbar_time.setVisible(spgr_en)
        # self.chk_colorbar_time = QCheckBox(self)
        # self.chk_colorbar_time.setObjectName("chk_colorbar_time")
        # self.chk_colorbar_time.setToolTip("<span>Enable colorbar</span>")
        # self.chk_colorbar_time.setChecked(True)
        # self.chk_colorbar_time.setVisible(spgr_en)

        layH_ctrl_time = QHBoxLayout()
        layH_ctrl_time.addWidget(self.lbl_plt_time_stim)
        layH_ctrl_time.addWidget(self.cmb_plt_time_stim)
        #
        layH_ctrl_time.addWidget(self.lbl_plt_time_stmq)
        layH_ctrl_time.addWidget(self.cmb_plt_time_stmq)
        #
        layH_ctrl_time.addWidget(lbl_plt_time_resp)
        layH_ctrl_time.addWidget(self.cmb_plt_time_resp)
        #
        layH_ctrl_time.addWidget(self.lbl_win_time)
        layH_ctrl_time.addWidget(self.chk_win_time)
        layH_ctrl_time.addSpacing(5)
        layH_ctrl_time.addWidget(line1)
        layH_ctrl_time.addSpacing(5)
        #
        layH_ctrl_time.addWidget(self.lbl_log_bottom_time)
        layH_ctrl_time.addWidget(self.led_log_bottom_time)
        layH_ctrl_time.addWidget(self.but_log_time)

        layH_ctrl_time.addSpacing(5)
        layH_ctrl_time.addWidget(line2)
        layH_ctrl_time.addSpacing(5)
        #
        layH_ctrl_time.addWidget(lbl_plt_time_spgr)
        layH_ctrl_time.addWidget(self.cmb_plt_time_spgr)
        layH_ctrl_time.addWidget(self.cmb_mode_spgr_time)
        layH_ctrl_time.addWidget(self.lbl_byfs_spgr_time)
        layH_ctrl_time.addWidget(self.chk_byfs_spgr_time)
        layH_ctrl_time.addWidget(self.but_log_spgr_time)
        layH_ctrl_time.addWidget(self.lbl_time_nfft_spgr)
        layH_ctrl_time.addWidget(self.led_time_nfft_spgr)
        layH_ctrl_time.addWidget(self.lbl_time_ovlp_spgr)
        layH_ctrl_time.addWidget(self.led_time_ovlp_spgr)

        layH_ctrl_time.addStretch(10)

        # layH_ctrl_time.setContentsMargins(*params['wdg_margins'])

        self.wdg_ctrl_time = QWidget(self)
        self.wdg_ctrl_time.setLayout(layH_ctrl_time)
        # ---- end time domain ------------------

        # ---------------------------------------------------------------
        # Controls for frequency domain
        # ---------------------------------------------------------------
        self.lbl_plt_freq_stim = QLabel(to_html("Stimulus X", frmt='bi'), self)
        self.cmb_plt_freq_stim = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_freq_stim, self.plot_styles_list,
                          self.plt_freq_stim)
        self.cmb_plt_freq_stim.setToolTip(
            "<span>Plot style for stimulus.</span>")

        self.lbl_plt_freq_stmq = QLabel(
            to_html("&nbsp;Fixp. Stim. X_Q", frmt='bi'), self)
        self.cmb_plt_freq_stmq = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_freq_stmq, self.plot_styles_list,
                          self.plt_freq_stmq)
        self.cmb_plt_freq_stmq.setToolTip(
            "<span>Plot style for <em>fixpoint</em> (quantized) stimulus.</span>"
        )

        lbl_plt_freq_resp = QLabel(to_html("&nbsp;Response Y", frmt='bi'),
                                   self)
        self.cmb_plt_freq_resp = QComboBox(self)
        qcmb_box_populate(self.cmb_plt_freq_resp, self.plot_styles_list,
                          self.plt_freq_resp)
        self.cmb_plt_freq_resp.setToolTip(
            "<span>Plot style for response.</span>")

        self.but_log_freq = QPushButton("dB")
        self.but_log_freq.setMaximumWidth(qtext_width(" dB"))
        self.but_log_freq.setObjectName(".but_log_freq")
        self.but_log_freq.setToolTip(
            "<span>Logarithmic scale for y-axis.</span>")
        self.but_log_freq.setCheckable(True)
        self.but_log_freq.setChecked(True)

        self.lbl_log_bottom_freq = QLabel(to_html("min =", frmt='bi'), self)
        self.lbl_log_bottom_freq.setVisible(self.but_log_freq.isChecked())
        self.led_log_bottom_freq = QLineEdit(self)
        self.led_log_bottom_freq.setText(str(self.bottom_f))
        self.led_log_bottom_freq.setMaximumWidth(qtext_width(N_x=8))
        self.led_log_bottom_freq.setToolTip(
            "<span>Minimum display value for log. scale.</span>")
        self.led_log_bottom_freq.setVisible(self.but_log_freq.isChecked())

        if not self.but_log_freq.isChecked():
            self.bottom_f = 0

        self.cmb_freq_display = QComboBox(self)
        qcmb_box_populate(self.cmb_freq_display, self.cmb_freq_display_items,
                          self.cmb_freq_display_item)
        self.cmb_freq_display.setObjectName("cmb_re_im_freq")

        self.but_Hf = QPushButtonRT(self, to_html("H_id", frmt="bi"), margin=5)
        self.but_Hf.setObjectName("chk_Hf")
        self.but_Hf.setToolTip(
            "<span>Show ideal frequency response, calculated "
            "from the filter coefficients.</span>")
        self.but_Hf.setChecked(False)
        self.but_Hf.setCheckable(True)

        self.but_freq_norm_impz = QPushButtonRT(
            text="<b><i>E<sub>X</sub></i> = 1</b>", margin=5)
        self.but_freq_norm_impz.setToolTip(
            "<span>Normalize the FFT of the stimulus with <i>N<sub>FFT</sub></i> for "
            "<i>E<sub>X</sub></i> = 1. For a dirac pulse, this yields "
            "|<i>Y(f)</i>| = |<i>H(f)</i>|. DC and Noise need to be "
            "turned off, window should be <b>Rectangular</b>.</span>")
        self.but_freq_norm_impz.setCheckable(True)
        self.but_freq_norm_impz.setChecked(True)
        self.but_freq_norm_impz.setObjectName("freq_norm_impz")

        self.but_freq_show_info = QPushButton("Info", self)
        self.but_freq_show_info.setMaximumWidth(qtext_width(" Info "))
        self.but_freq_show_info.setObjectName("but_show_info_freq")
        self.but_freq_show_info.setToolTip(
            "<span>Show signal power in legend.</span>")
        self.but_freq_show_info.setCheckable(True)
        self.but_freq_show_info.setChecked(False)

        layH_ctrl_freq = QHBoxLayout()
        layH_ctrl_freq.addWidget(self.lbl_plt_freq_stim)
        layH_ctrl_freq.addWidget(self.cmb_plt_freq_stim)
        #
        layH_ctrl_freq.addWidget(self.lbl_plt_freq_stmq)
        layH_ctrl_freq.addWidget(self.cmb_plt_freq_stmq)
        #
        layH_ctrl_freq.addWidget(lbl_plt_freq_resp)
        layH_ctrl_freq.addWidget(self.cmb_plt_freq_resp)
        #
        layH_ctrl_freq.addSpacing(5)
        layH_ctrl_freq.addWidget(self.but_Hf)
        layH_ctrl_freq.addStretch(1)
        #
        layH_ctrl_freq.addWidget(self.lbl_log_bottom_freq)
        layH_ctrl_freq.addWidget(self.led_log_bottom_freq)
        layH_ctrl_freq.addWidget(self.but_log_freq)
        layH_ctrl_freq.addStretch(1)
        layH_ctrl_freq.addWidget(self.cmb_freq_display)
        layH_ctrl_freq.addStretch(1)

        layH_ctrl_freq.addWidget(self.but_freq_norm_impz)
        layH_ctrl_freq.addStretch(1)
        layH_ctrl_freq.addWidget(self.but_freq_show_info)
        layH_ctrl_freq.addStretch(10)

        # layH_ctrl_freq.setContentsMargins(*params['wdg_margins'])

        self.wdg_ctrl_freq = QWidget(self)
        self.wdg_ctrl_freq.setLayout(layH_ctrl_freq)
        # ---- end Frequency Domain ------------------

        # ----------------------------------------------------------------------
        # GLOBAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        # connect FFT widget to qfft_selector and vice versa and to and signals upstream:
        self.fft_widget.sig_tx.connect(self.process_sig_rx)
        self.qfft_win_select.sig_tx.connect(self.process_sig_rx)
        # connect process_sig_rx output to both FFT widgets
        self.sig_tx_fft.connect(self.fft_widget.sig_rx)
        self.sig_tx_fft.connect(self.qfft_win_select.sig_rx)

        # ----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        # --- run control ---
        self.led_N_start.editingFinished.connect(self.update_N)
        self.led_N_points.editingFinished.connect(self.update_N)
        self.led_N_frame.editingFinished.connect(self.update_N)
        self.but_fft_wdg.clicked.connect(self.toggle_fft_wdg)

    # -------------------------------------------------------------------------
    def update_N(self, emit=True):
        """
        Update values for `self.N` and `self.win_dict['N']`, for `self.N_start` and
        `self.N_end` from the corresponding QLineEditWidgets.
        When `emit==True`, fire `'ui_changed': 'N'` to update the FFT window and the
        `plot_impz` widgets. In contrast to `view_changed`, this also forces a
        recalculation of the transient response.

        This method is called by:

        - `self._construct_ui()` with `emit==False`
        - `plot_impz()` with `emit==False` when the automatic calculation
                of N has to be updated (e.g. order of FIR Filter has changed
        - signal-slot connection when `N_start` or `N_end` QLineEdit widgets have
                been changed (`emit==True`)
        """
        if not isinstance(emit, bool):
            logger.error("update N: emit={0}".format(emit))
        self.N_start = safe_eval(self.led_N_start.text(),
                                 self.N_start,
                                 return_type='int',
                                 sign='poszero')
        self.led_N_start.setText(str(self.N_start))  # update widget

        self.N_user = safe_eval(self.led_N_points.text(),
                                self.N_user,
                                return_type='int',
                                sign='poszero')

        if self.N_user == 0:  # automatic calculation
            self.N = self.calc_n_points(self.N_user)  # widget remains set to 0
            self.led_N_points.setText("0")  # update widget
        else:
            self.N = self.N_user
            self.led_N_points.setText(str(self.N))  # update widget

        # total number of points to be calculated: N + N_start
        self.N_end = self.N + self.N_start

        self.N_frame_user = safe_eval(self.led_N_frame.text(),
                                      self.N_frame_user,
                                      return_type='int',
                                      sign='poszero')

        if self.N_frame_user == 0:
            self.N_frame = self.N_end  # use N_end for frame length
            self.led_N_frame.setText(
                "0")  # update widget with "0" as set by user
        else:
            self.N_frame = self.N_frame_user
            self.led_N_frame.setText(str(self.N_frame))  # update widget

        # recalculate displayed freq. index values when freq. unit == 'k'
        if fb.fil[0]['freq_specs_unit'] == 'k':
            self.update_freqs()

        if emit:
            # use `'ui_changed'` as this triggers recalculation of the transient
            # response
            self.emit({'ui_changed': 'N'})

    # ------------------------------------------------------------------------------
    def toggle_fft_wdg(self):
        """
        Show / hide FFT widget depending on the state of the corresponding button
        When widget is shown, trigger an update of the window function.
        """
        if self.but_fft_wdg.isChecked():
            self.fft_widget.show()
            self.emit({'view_changed': 'fft_win_type'}, sig_name='sig_tx_fft')
        else:
            self.fft_widget.hide()

    # --------------------------------------------------------------------------
    def hide_fft_wdg(self):
        """
        The closeEvent caused by clicking the "x" in the FFT widget is caught
        there and routed here to only hide the window
        """
        self.but_fft_wdg.setChecked(False)
        self.fft_widget.hide()

    # ------------------------------------------------------------------------------
    def calc_n_points(self, N_user=0):
        """
        Calculate number of points to be displayed, depending on type of filter
        (FIR, IIR) and user input. If the user selects 0 points, the number is
        calculated automatically.

        An improvement would be to calculate the dominant pole and the corresponding
        settling time.
        """
        if N_user == 0:  # set number of data points automatically
            if fb.fil[0]['ft'] == 'IIR':
                # IIR: No algorithm yet, set N = 100
                N = 100
            else:
                # FIR: N = number of coefficients (max. 100)
                N = min(len(fb.fil[0]['ba'][0]), 100)
        else:
            N = N_user

        return N
コード例 #6
0
class Plot_Phi(QWidget):
    # incoming, connected in sender widget (locally connected to self.process_sig_rx() )
    sig_rx = pyqtSignal(object)
    # outgoing, distributed via plot_tab_widget
    sig_tx = pyqtSignal(object)

    def __init__(self, parent):
        super(Plot_Phi, self).__init__(parent)
        self.needs_calc = True  # recalculation of filter function necessary
        self.needs_draw = True  # plotting neccessary (e.g. log instead of  lin)
        self.tool_tip = "Phase frequency response"
        self.tab_label = "\u03C6(f)"  # phi(f)
        self._construct_UI()

#------------------------------------------------------------------------------

    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from the navigation toolbar and from sig_rx
        """
        logger.debug("Processing {0} | needs_calc = {1}, visible = {2}"\
                     .format(dict_sig, self.needs_calc, self.isVisible()))
        if dict_sig['sender'] == __name__:
            logger.debug("Stopped infinite loop\n{0}".format(
                pprint_log(dict_sig)))
            return

        if self.isVisible():
            if 'data_changed' in dict_sig or 'home' in dict_sig or self.needs_calc:
                self.draw()
                self.needs_calc = False
                self.needs_draw = False
            elif 'view_changed' in dict_sig or self.needs_draw:
                self.update_view()
                self.needs_draw = False
            # elif ('ui_changed' in dict_sig and dict_sig['ui_changed'] == 'resized')\
            #     or self.needs_redraw:
            #     self.redraw()
        else:
            if 'data_changed' in dict_sig:
                self.needs_calc = True
            elif 'view_changed' in dict_sig:
                self.needs_draw = True
            # elif 'ui_changed' in dict_sig and dict_sig['ui_changed'] == 'resized':
            #     self.needs_redraw = True

#------------------------------------------------------------------------------

    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """

        self.cmbUnitsPhi = QComboBox(self)
        units = ["rad", "rad/pi", "deg"]
        scales = [1., 1. / np.pi, 180. / np.pi]
        for unit, scale in zip(units, scales):
            self.cmbUnitsPhi.addItem(unit, scale)
        self.cmbUnitsPhi.setObjectName("cmbUnitsA")
        self.cmbUnitsPhi.setToolTip("Set unit for phase.")
        self.cmbUnitsPhi.setCurrentIndex(0)
        self.cmbUnitsPhi.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.chkWrap = QCheckBox("Wrapped Phase", self)
        self.chkWrap.setChecked(False)
        self.chkWrap.setToolTip("Plot phase wrapped to +/- pi")

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.cmbUnitsPhi)
        layHControls.addWidget(self.chkWrap)
        layHControls.addStretch(10)

        #----------------------------------------------------------------------
        #               ### frmControls ###
        #
        # This widget encompasses all control subwidgets
        #----------------------------------------------------------------------
        self.frmControls = QFrame(self)
        self.frmControls.setObjectName("frmControls")
        self.frmControls.setLayout(layHControls)

        #----------------------------------------------------------------------
        #               ### mplwidget ###
        #
        # main widget, encompassing the other widgets
        #----------------------------------------------------------------------
        self.mplwidget = MplWidget(self)
        self.mplwidget.layVMainMpl.addWidget(self.frmControls)
        self.mplwidget.layVMainMpl.setContentsMargins(*params['wdg_margins'])
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()

        self.draw()  # initial drawing

        #----------------------------------------------------------------------
        # GLOBAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.sig_rx.connect(self.process_sig_rx)

        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.chkWrap.clicked.connect(self.draw)
        self.cmbUnitsPhi.currentIndexChanged.connect(self.unit_changed)
        self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)

#------------------------------------------------------------------------------

    def init_axes(self):
        """
        Initialize and clear the axes - this is only called once
        """
        if len(self.mplwidget.fig.get_axes()) == 0:  # empty figure, no axes
            self.ax = self.mplwidget.fig.subplots()
        self.ax.get_xaxis().tick_bottom()  # remove axis ticks on top
        self.ax.get_yaxis().tick_left()  # remove axis ticks right

#------------------------------------------------------------------------------

    def unit_changed(self):
        """
        Unit for phase display has been changed, emit a 'view_changed' signal
        and continue with drawing.
        """
        self.sig_tx.emit({'sender': __name__, 'view_changed': 'plot_phi'})
        self.draw()

#------------------------------------------------------------------------------

    def calc_resp(self):
        """
        (Re-)Calculate the complex frequency response H(f)
        """
        # calculate H_cplx(W) (complex) for W = 0 ... 2 pi:
        self.W, self.H_cmplx = calc_Hcomplex(fb.fil[0],
                                             params['N_FFT'],
                                             wholeF=True)
        # replace nan and inf by finite values, otherwise np.unwrap yields
        # an array full of nans
        self.H_cmplx = np.nan_to_num(self.H_cmplx)

#------------------------------------------------------------------------------

    def draw(self):
        """
        Main entry point:
        Re-calculate \|H(f)\| and draw the figure
        """
        self.calc_resp()
        self.update_view()

#------------------------------------------------------------------------------

    def update_view(self):
        """
        Draw the figure with new limits, scale etc without recalculating H(f)
        """

        self.unitPhi = qget_cmb_box(self.cmbUnitsPhi, data=False)

        f_S2 = fb.fil[0]['f_S'] / 2.

        #========= select frequency range to be displayed =====================
        #=== shift, scale and select: W -> F, H_cplx -> H_c
        F = self.W * f_S2 / np.pi

        if fb.fil[0]['freqSpecsRangeType'] == 'sym':
            # shift H and F by f_S/2
            H = np.fft.fftshift(self.H_cmplx)
            F -= f_S2
        elif fb.fil[0]['freqSpecsRangeType'] == 'half':
            # only use the first half of H and F
            H = self.H_cmplx[0:params['N_FFT'] // 2]
            F = F[0:params['N_FFT'] // 2]
        else:  # fb.fil[0]['freqSpecsRangeType'] == 'whole'
            # use H and F as calculated
            H = self.H_cmplx

        y_str = r'$\angle H(\mathrm{e}^{\mathrm{j} \Omega})$ in '
        if self.unitPhi == 'rad':
            y_str += 'rad ' + r'$\rightarrow $'
            scale = 1.
        elif self.unitPhi == 'rad/pi':
            y_str += 'rad' + r'$ / \pi \;\rightarrow $'
            scale = 1. / np.pi
        else:
            y_str += 'deg ' + r'$\rightarrow $'
            scale = 180. / np.pi
        fb.fil[0]['plt_phiLabel'] = y_str
        fb.fil[0]['plt_phiUnit'] = self.unitPhi

        if self.chkWrap.isChecked():
            phi_plt = np.angle(H) * scale
        else:
            phi_plt = np.unwrap(np.angle(H)) * scale

        #---------------------------------------------------------
        self.ax.clear()  # need to clear, doesn't overwrite
        line_phi, = self.ax.plot(F, phi_plt)
        #---------------------------------------------------------

        self.ax.set_title(r'Phase Frequency Response')
        self.ax.set_xlabel(fb.fil[0]['plt_fLabel'])
        self.ax.set_ylabel(y_str)
        self.ax.set_xlim(fb.fil[0]['freqSpecsRange'])

        self.redraw()

#------------------------------------------------------------------------------

    def redraw(self):
        """
        Redraw the canvas when e.g. the canvas size has changed
        """
        self.mplwidget.redraw()
コード例 #7
0
ファイル: input_coeffs_ui.py プロジェクト: tspiteri/pyfda
class Input_Coeffs_UI(QWidget):
    """
    Create the UI for the FilterCoeffs class
    """
    sig_rx = pyqtSignal(dict)  # incoming
    sig_tx = pyqtSignal(dict)  # outgoing
    from pyfda.libs.pyfda_qt_lib import emit

    def __init__(self, parent=None):
        super(Input_Coeffs_UI, self).__init__(parent)
        self.eps = 1.e-6  # initialize tolerance value
        self._construct_UI()

# ------------------------------------------------------------------------------
    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from the CSV pop-up window
        """
        # logger.debug("PROCESS_SIG_RX:\n{0}".format(pprint_log(dict_sig)))

        if 'closeEvent' in dict_sig:
            self._close_csv_win()
            self.emit({'ui_changed': 'csv'})
            return
        elif 'ui_changed' in dict_sig:
            self._set_load_save_icons()  # update icons file <-> clipboard
            # inform e.g. the p/z input widget about changes in CSV options
            self.emit({'ui_changed': 'csv'})

# ------------------------------------------------------------------------------
    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - top chkbox row
        - coefficient table
        - two bottom rows with action buttons
        """
        self.bfont = QFont()
        self.bfont.setBold(True)
        self.bifont = QFont()
        self.bifont.setBold(True)
        self.bifont.setItalic(True)
#        q_icon_size = QSize(20, 20) # optional, size is derived from butEnable

        #######################################################################
        # frmMain
        #
        # This frame contains all the buttons
        #######################################################################
        # ---------------------------------------------
        # layHDisplay
        #
        # UI Elements for controlling the display
        # ---------------------------------------------
        self.butEnable = PushButton(self, icon=QIcon(':/circle-check.svg'), checked=True)
        q_icon_size = self.butEnable.iconSize()  # <- uncomment this for manual sizing
        self.butEnable.setToolTip(
            "<span>Show / hide filter coefficients in an editable table."
            " For high order systems, table display might be slow.</span>")

        fix_formats = ['Dec', 'Hex', 'Bin', 'CSD']
        self.cmbFormat = QComboBox(self)
        model = self.cmbFormat.model()
        item = QtGui.QStandardItem('Float')
        item.setData('child', Qt.AccessibleDescriptionRole)
        model.appendRow(item)

        item = QtGui.QStandardItem('Fixp.:')
        item.setData('parent', Qt.AccessibleDescriptionRole)
        item.setData(0, QtGui.QFont.Bold)
        item.setFlags(item.flags() & ~Qt.ItemIsEnabled)  # | Qt.ItemIsSelectable))
        model.appendRow(item)

        for idx in range(len(fix_formats)):
            item = QtGui.QStandardItem(fix_formats[idx])
#            item.setForeground(QtGui.QColor('red'))
            model.appendRow(item)

        self.cmbFormat.insertSeparator(1)
        qset_cmb_box(self.cmbFormat, 'float')
        self.cmbFormat.setToolTip('Set the display format.')
        self.cmbFormat.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.spnDigits = QSpinBox(self)
        self.spnDigits.setRange(0, 16)
        self.spnDigits.setValue(params['FMT_ba'])
        self.spnDigits.setToolTip("Number of digits to display.")
        self.lblDigits = QLabel("Digits", self)
        self.lblDigits.setFont(self.bifont)

        self.cmbQFrmt = QComboBox(self)
        q_formats = [('Norm. Frac.', 'qnfrac'), ('Integer', 'qint'),
                     ('Fractional', 'qfrac')]
        for q in q_formats:
            self.cmbQFrmt.addItem(*q)

        self.lbl_W = QLabel("W = ", self)
        self.lbl_W.setFont(self.bifont)

        self.ledW = QLineEdit(self)
        self.ledW.setToolTip("Specify total wordlength.")
        self.ledW.setText("16")
        self.ledW.setMaxLength(2)  # maximum of 2 digits
        self.ledW.setFixedWidth(30)  # width of lineedit in points(?)

        layHDisplay = QHBoxLayout()
        layHDisplay.setAlignment(Qt.AlignLeft)
        layHDisplay.addWidget(self.butEnable)
        layHDisplay.addWidget(self.cmbFormat)
        layHDisplay.addWidget(self.spnDigits)
        layHDisplay.addWidget(self.lblDigits)
        layHDisplay.addWidget(self.cmbQFrmt)
        layHDisplay.addWidget(self.lbl_W)
        layHDisplay.addWidget(self.ledW)
        layHDisplay.addStretch()

        #######################################################################
        # frmButtonsCoeffs
        #
        # This frame contains all buttons for manipulating coefficients
        #######################################################################
        # -----------------------------------------------------------------
        # layHButtonsCoeffs1
        #
        # UI Elements for loading / storing / manipulating cells and rows
        # -----------------------------------------------------------------
        self.cmbFilterType = QComboBox(self)
        self.cmbFilterType.setObjectName("comboFilterType")
        self.cmbFilterType.setToolTip(
            "<span>Select between IIR and FIR filter for manual entry."
            "Changing the type reloads the filter from the filter dict.</span>")
        self.cmbFilterType.addItems(["FIR", "IIR"])
        self.cmbFilterType.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.butAddCells = QPushButton(self)
        self.butAddCells.setIcon(QIcon(':/row_insert_above.svg'))
        self.butAddCells.setIconSize(q_icon_size)
        self.butAddCells.setToolTip(
            "<span>Select cells to insert a new cell above each selected cell. "
            "Use &lt;SHIFT&gt; or &lt;CTRL&gt; to select multiple cells. "
            "When nothing is selected, add a row at the end.</span>")

        self.butDelCells = QPushButton(self)
        self.butDelCells.setIcon(QIcon(':/row_delete.svg'))
        self.butDelCells.setIconSize(q_icon_size)
        self.butDelCells.setToolTip(
            "<span>Delete selected cell(s) from the table. "
            "Use &lt;SHIFT&gt; or &lt;CTRL&gt; to select multiple cells. "
            "When nothing is selected, delete the last row.</span>")

        self.butSave = QPushButton(self)
        self.butSave.setIcon(QIcon(':/upload.svg'))
        self.butSave.setIconSize(q_icon_size)
        self.butSave.setToolTip(
            "<span>Copy coefficient table to filter dict and update all plots"
            "and widgets.</span>")

        self.butLoad = QPushButton(self)
        self.butLoad.setIcon(QIcon(':/download.svg'))
        self.butLoad.setIconSize(q_icon_size)
        self.butLoad.setToolTip("Reload coefficient table from filter dict.")

        self.butClear = QPushButton(self)
        self.butClear.setIcon(QIcon(':/trash.svg'))
        self.butClear.setIconSize(q_icon_size)
        self.butClear.setToolTip("Clear all table entries.")

        self.butFromTable = QPushButton(self)
        self.butFromTable.setIconSize(q_icon_size)

        self.butToTable = QPushButton(self)
        self.butToTable.setIconSize(q_icon_size)

        self.but_csv_options = PushButton(self, icon=QIcon(':/settings.svg'),
                                          checked=False)
        self.but_csv_options.setIconSize(q_icon_size)
        self.but_csv_options.setToolTip(
            "<span>Select CSV format and whether "
            "to copy to/from clipboard or file.</span>")

        self._set_load_save_icons()  # initialize icon / button settings

        layHButtonsCoeffs1 = QHBoxLayout()
        layHButtonsCoeffs1.addWidget(self.cmbFilterType)
        layHButtonsCoeffs1.addWidget(self.butAddCells)
        layHButtonsCoeffs1.addWidget(self.butDelCells)
        layHButtonsCoeffs1.addWidget(self.butClear)
        layHButtonsCoeffs1.addWidget(self.butSave)
        layHButtonsCoeffs1.addWidget(self.butLoad)
        layHButtonsCoeffs1.addWidget(self.butFromTable)
        layHButtonsCoeffs1.addWidget(self.butToTable)
        layHButtonsCoeffs1.addWidget(self.but_csv_options)
        layHButtonsCoeffs1.addStretch()

        # ----------------------------------------------------------------------
        # layHButtonsCoeffs2
        #
        # Eps / set zero settings
        # ---------------------------------------------------------------------
        self.butSetZero = QPushButton("= 0", self)
        self.butSetZero.setToolTip(
            "<span>Set selected coefficients = 0 with a magnitude &lt; &epsilon;. "
            "When nothing is selected, test the whole table.</span>")
        self.butSetZero.setIconSize(q_icon_size)

        lblEps = QLabel(self)
        lblEps.setText("<b><i>for b, a</i> &lt;</b>")

        self.ledEps = QLineEdit(self)
        self.ledEps.setToolTip("Specify tolerance value.")

        layHButtonsCoeffs2 = QHBoxLayout()
        layHButtonsCoeffs2.addWidget(self.butSetZero)
        layHButtonsCoeffs2.addWidget(lblEps)
        layHButtonsCoeffs2.addWidget(self.ledEps)
        layHButtonsCoeffs2.addStretch()

        # -------------------------------------------------------------------
        # Now put the ButtonsCoeffs HBoxes into frmButtonsCoeffs
        # ---------------------------------------------------------------------
        layVButtonsCoeffs = QVBoxLayout()
        layVButtonsCoeffs.addLayout(layHButtonsCoeffs1)
        layVButtonsCoeffs.addLayout(layHButtonsCoeffs2)
        layVButtonsCoeffs.setContentsMargins(0, 5, 0, 0)
        # This frame encompasses all Quantization Settings
        self.frmButtonsCoeffs = QFrame(self)
        self.frmButtonsCoeffs.setLayout(layVButtonsCoeffs)

        # ######################################################################
        # frmQSettings
        #
        # This frame contains all quantization settings
        # ######################################################################
        # -------------------------------------------------------------------
        # layHW_Scale
        #
        # QFormat and scale settings
        # ---------------------------------------------------------------------
        lbl_Q = QLabel("Q =", self)
        lbl_Q.setFont(self.bifont)

        self.ledWI = QLineEdit(self)
        self.ledWI.setToolTip("Specify number of integer bits.")
        self.ledWI.setText("0")
        self.ledWI.setMaxLength(2)  # maximum of 2 digits
        self.ledWI.setFixedWidth(30)  # width of lineedit in points(?)

        self.lblDot = QLabel(".", self)  # class attribute, visibility is toggled
        self.lblDot.setFont(self.bfont)

        self.ledWF = QLineEdit(self)
        self.ledWF.setToolTip("Specify number of fractional bits.")
        self.ledWF.setText("15")
        self.ledWF.setMaxLength(2)  # maximum of 2 digits
#        self.ledWF.setFixedWidth(30) # width of lineedit in points(?)
        self.ledWF.setMaximumWidth(30)

        self.lblScale = QLabel("<b><i>Scale</i> =</b>", self)
        self.ledScale = QLineEdit(self)
        self.ledScale.setToolTip(
            "Set the scale for converting float to fixpoint representation.")
        self.ledScale.setText(str(1))
        self.ledScale.setEnabled(False)

        layHWI_WF = QHBoxLayout()
        layHWI_WF.addWidget(lbl_Q)
        layHWI_WF.addWidget(self.ledWI)
        layHWI_WF.addWidget(self.lblDot)
        layHWI_WF.addWidget(self.ledWF)
        layHWI_WF.addStretch()

        layHScale = QHBoxLayout()
        layHScale.addWidget(self.lblScale)
        layHScale.addWidget(self.ledScale)
        layHScale.addStretch()

        layHW_Scale = QHBoxLayout()
        layHW_Scale.addLayout(layHWI_WF)
        layHW_Scale.addLayout(layHScale)

        # -------------------------------------------------------------------
        # layGQOpt
        #
        # Quantization / Overflow / MSB / LSB settings
        # ---------------------------------------------------------------------
        lblQOvfl = QLabel("Ovfl.:", self)
        lblQOvfl.setFont(self.bifont)
        lblQuant = QLabel("Quant.:", self)
        lblQuant.setFont(self.bifont)

        self.cmbQOvfl = QComboBox(self)
        qOvfl = ['wrap', 'sat']
        self.cmbQOvfl.addItems(qOvfl)
        qset_cmb_box(self.cmbQOvfl, 'sat')
        self.cmbQOvfl.setToolTip("Select overflow behaviour.")
        # ComboBox size is adjusted automatically to fit the longest element
        self.cmbQOvfl.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        layHQOvflOpt = QHBoxLayout()
        layHQOvflOpt.addWidget(lblQOvfl)
        layHQOvflOpt.addWidget(self.cmbQOvfl)
        layHQOvflOpt.addStretch()

        self.cmbQuant = QComboBox(self)
        qQuant = ['none', 'round', 'fix', 'floor']
        self.cmbQuant.addItems(qQuant)
        qset_cmb_box(self.cmbQuant, 'round')
        self.cmbQuant.setToolTip("Select the kind of quantization.")
        self.cmbQuant.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        layHQuantOpt = QHBoxLayout()
        layHQuantOpt.addWidget(lblQuant)
        layHQuantOpt.addWidget(self.cmbQuant)
        layHQuantOpt.addStretch()

        self.butQuant = QPushButton(self)
        self.butQuant.setToolTip(
            "<span>Quantize selected coefficients / "
            "whole table with specified settings.</span>")
        self.butQuant.setIcon(QIcon(':/quantize.svg'))
        self.butQuant.setIconSize(q_icon_size)
        self.butQuant.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)

        lblMSBtxt = QLabel(self)
        lblMSBtxt.setText("<b><i>MSB</i><sub>10</sub> =</b>")
        self.lblMSB = QLabel(self)
        layHMSB = QHBoxLayout()
        layHMSB.addWidget(lblMSBtxt)
        layHMSB.addWidget(self.lblMSB)
        layHMSB.addStretch()

        lblLSBtxt = QLabel(self)
        lblLSBtxt.setText("<b><i>LSB</i><sub>10</sub> =</b>")
        self.lblLSB = QLabel(self)
        layHLSB = QHBoxLayout()
        layHLSB.addWidget(lblLSBtxt)
        layHLSB.addWidget(self.lblLSB)
        layHLSB.addStretch()

        layGQOpt = QGridLayout()
        layGQOpt.addLayout(layHQOvflOpt, 0, 0)
        layGQOpt.addLayout(layHQuantOpt, 0, 1)
        layGQOpt.addWidget(self.butQuant, 0, 2, Qt.AlignCenter)
        layGQOpt.addLayout(layHMSB, 1, 0)
        layGQOpt.addLayout(layHLSB, 1, 1)

        # -------------------------------------------------------------------
        #   Display MAX
        # ---------------------------------------------------------------------
        lblMAXtxt = QLabel(self)
        lblMAXtxt.setText("<b><i>Max =</i></b>")
        self.lblMAX = QLabel(self)

        layHCoeffs_MAX = QHBoxLayout()
        layHCoeffs_MAX.addWidget(lblMAXtxt)
        layHCoeffs_MAX.addWidget(self.lblMAX)
        layHCoeffs_MAX.addStretch()

        #######################################################################
        # Now put all the coefficient HBoxes into frmQSettings
        # ---------------------------------------------------------------------
        layVButtonsQ = QVBoxLayout()
        layVButtonsQ.addLayout(layHW_Scale)
        layVButtonsQ.addLayout(layGQOpt)
        layVButtonsQ.addLayout(layHCoeffs_MAX)
        layVButtonsQ.setContentsMargins(0, 0, 0, 0)
        # This frame encompasses all Quantization Settings
        self.frmQSettings = QFrame(self)
        self.frmQSettings.setLayout(layVButtonsQ)

        #######################################################################
        # ########################  Main UI Layout ############################
        #######################################################################
        # layout for frame (UI widget)
        layVMainF = QVBoxLayout()
        layVMainF.addLayout(layHDisplay)
        layVMainF.addWidget(self.frmQSettings)
        layVMainF.addWidget(QHLine())
        layVMainF.addWidget(self.frmButtonsCoeffs)

        # This frame encompasses all UI elements
        frmMain = QFrame(self)
        frmMain.setLayout(layVMainF)

        layVMain = QVBoxLayout()
        # the following affects only the first widget (intended here)
        layVMain.setAlignment(Qt.AlignTop)
        layVMain.addWidget(frmMain)
        layVMain.setContentsMargins(*params['wdg_margins'])
        self.setLayout(layVMain)
        #######################################################################

        # --- set initial values from dict ------------
        self.spnDigits.setValue(params['FMT_ba'])
        self.ledEps.setText(str(self.eps))

        # ----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        self.but_csv_options.clicked.connect(self._open_csv_win)

    # --------------------------------------------------------------------------
    def _open_csv_win(self):
        """
        Pop-up window for CSV options
        """
        if self.but_csv_options.isChecked():
            qstyle_widget(self.but_csv_options, "changed")
        else:
            qstyle_widget(self.but_csv_options, "normal")

        if dirs.csv_options_handle is None:
            # no handle to the window? Create a new instance
            if self.but_csv_options.isChecked():
                # Important: Handle to window must be class attribute, otherwise it
                # (and the attached window) is deleted immediately when it goes
                # out of scope
                dirs.csv_options_handle = CSV_option_box(self)
                dirs.csv_options_handle.sig_tx.connect(self.process_sig_rx)
                dirs.csv_options_handle.show()  # modeless i.e. non-blocking popup window
        else:
            if not self.but_csv_options.isChecked():  # this should not happen
                if dirs.csv_options_handle is None:
                    logger.warning("CSV options window is already closed!")
                else:
                    dirs.csv_options_handle.close()

        self.emit({'ui_changed': 'csv'})

    # ------------------------------------------------------------------------------

    def _close_csv_win(self):
        dirs.csv_options_handle = None
        self.but_csv_options.setChecked(False)
        qstyle_widget(self.but_csv_options, "normal")

    # ------------------------------------------------------------------------------
    def _set_load_save_icons(self):
        """
        Set icons / tooltipps for loading and saving data to / from file or
        clipboard depending on selected options.
        """
        if params['CSV']['clipboard']:
            self.butFromTable.setIcon(QIcon(':/to_clipboard.svg'))
            self.butFromTable.setToolTip(
                "<span>Copy table to clipboard, SELECTED items are copied as "
                "displayed. When nothing is selected, the whole table "
                "is copied with full precision in decimal format.</span>")

            self.butToTable.setIcon(QIcon(':/from_clipboard.svg'))
            self.butToTable.setToolTip("<span>Copy clipboard to table.</span>")
        else:
            self.butFromTable.setIcon(QIcon(':/save.svg'))
            self.butFromTable.setToolTip(
                "<span>"
                "Save table to file, SELECTED items are copied as "
                "displayed. When nothing is selected, the whole table "
                "is copied with full precision in decimal format.</span>")

            self.butToTable.setIcon(QIcon(':/file.svg'))
            self.butToTable.setToolTip("<span>Load table from file.</span>")

        if dirs.csv_options_handle is None:
            qstyle_widget(self.but_csv_options, "normal")
            self.but_csv_options.setChecked(False)
        else:
            qstyle_widget(self.but_csv_options, "changed")
            self.but_csv_options.setChecked(True)
コード例 #8
0
ファイル: amplitude_specs.py プロジェクト: zstechly/pyfda
class AmplitudeSpecs(QWidget):
    """
    Build and update widget for entering the amplitude
    specifications like A_SB, A_PB etc.
    """
    sig_tx = pyqtSignal(
        object)  # emitted when amplitude unit or spec has been changed

    def __init__(self, parent, title="Amplitude Specs"):
        """
        Initialize
        """
        super(AmplitudeSpecs, self).__init__(parent)
        self.title = title

        self.qlabels = []  # list with references to QLabel widgets
        self.qlineedit = []  # list with references to QLineEdit widgets

        self.spec_edited = False  # flag whether QLineEdit field has been edited
        self._construct_UI()

#------------------------------------------------------------------------------

    def _construct_UI(self):
        """
        Construct User Interface
        """
        amp_units = ["dB", "V", "W"]

        bfont = QFont()
        bfont.setBold(True)
        lblTitle = QLabel(str(self.title), self)  # field for widget title
        lblTitle.setFont(bfont)
        lblTitle.setWordWrap(True)

        lblUnits = QLabel("in", self)

        self.cmbUnitsA = QComboBox(self)
        self.cmbUnitsA.addItems(amp_units)
        self.cmbUnitsA.setObjectName("cmbUnitsA")
        self.cmbUnitsA.setToolTip(
            "<span>Unit for amplitude specifications:"
            " dB is attenuation (&gt; 0); levels in V and W have to be &lt; 1.</span>"
        )

        # fit size dynamically to largest element:
        self.cmbUnitsA.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        # find index for default unit from dictionary and set the unit
        amp_idx = self.cmbUnitsA.findData(fb.fil[0]['amp_specs_unit'])
        if amp_idx < 0:
            amp_idx = 0
        self.cmbUnitsA.setCurrentIndex(amp_idx)  # initialize for dBs

        layHTitle = QHBoxLayout()  # layout for title and unit
        layHTitle.addWidget(lblTitle)
        layHTitle.addWidget(lblUnits, Qt.AlignLeft)
        layHTitle.addWidget(self.cmbUnitsA, Qt.AlignLeft)
        layHTitle.addStretch(1)

        self.layGSpecs = QGridLayout()  # sublayout for spec fields
        # set the title as the first (fixed) entry in grid layout. The other
        # fields are added and hidden dynamically in _show_entries and _hide_entries()
        self.layGSpecs.addLayout(layHTitle, 0, 0, 1, 2)
        self.layGSpecs.setAlignment(Qt.AlignLeft)

        # This is the top level widget, encompassing the other widgets
        self.frmMain = QFrame(self)
        self.frmMain.setLayout(self.layGSpecs)

        self.layVMain = QVBoxLayout()  # Widget main layout
        self.layVMain.addWidget(self.frmMain)
        self.layVMain.setContentsMargins(*params['wdg_margins'])

        self.setLayout(self.layVMain)

        self.n_cur_labels = 0  # number of currently visible labels / qlineedits

        # - Build a list from all entries in the fil_dict dictionary starting
        #   with "A" (= amplitude specifications of the current filter)
        # - Pass the list to update_UI which recreates the widget
        # ATTENTION: Entries need to be converted from QString to str for Py 2
        new_labels = [str(l) for l in fb.fil[0] if l[0] == 'A']
        self.update_UI(new_labels=new_labels)

        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs / EVENT MONITORING
        #----------------------------------------------------------------------
        self.cmbUnitsA.currentIndexChanged.connect(self._set_amp_unit)
        #       ^ this also triggers the initial load_dict
        # DYNAMIC EVENT MONITORING
        # Every time a field is edited, call self._store_entry and
        # self.load_dict. This is achieved by dynamically installing and
        # removing event filters when creating / deleting subwidgets.
        # The event filter monitors the focus of the input fields.

#------------------------------------------------------------------------------

    def eventFilter(self, source, event):
        """
        Filter all events generated by the QLineEdit widgets. Source and type
        of all events generated by monitored objects are passed to this eventFilter,
        evaluated and passed on to the next hierarchy level.

        - When a QLineEdit widget gains input focus (QEvent.FocusIn`), display
          the stored value from filter dict with full precision
        - When a key is pressed inside the text field, set the `spec_edited` flag
          to True.
        - When a QLineEdit widget loses input focus (QEvent.FocusOut`), store
          current value in linear format with full precision (only if
          `spec_edited`== True) and display the stored value in selected format
        """
        if isinstance(source,
                      QLineEdit):  # could be extended for other widgets
            if event.type() == QEvent.FocusIn:
                self.spec_edited = False
                self.load_dict()
                # store current entry in case new value can't be evaluated:
                fb.data_old = source.text()
            elif event.type() == QEvent.KeyPress:
                self.spec_edited = True  # entry has been changed
                key = event.key()
                if key in {QtCore.Qt.Key_Return,
                           QtCore.Qt.Key_Enter}:  # store entry
                    self._store_entry(source)
                elif key == QtCore.Qt.Key_Escape:  # revert changes
                    self.spec_edited = False
                    self.load_dict()

            elif event.type() == QEvent.FocusOut:
                self._store_entry(source)
        # Call base class method to continue normal event processing:
        return super(AmplitudeSpecs, self).eventFilter(source, event)

#-------------------------------------------------------------

    def update_UI(self, new_labels=()):
        """
        Called from filter_specs.update_UI() and target_specs.update_UI().
        Set labels and get corresponding values from filter dictionary.
        When number of entries has changed, the layout of subwidget is rebuilt,
        using

        - `self.qlabels`, a list with references to existing QLabel widgets,
        - `new_labels`, a list of strings from the filter_dict for the current
          filter design
        - 'num_new_labels`, their number
        - `self.n_cur_labels`, the number of currently visible labels / qlineedit
          fields
        """
        state = new_labels[0]
        new_labels = new_labels[1:]

        #        W_lbl = max([self.qfm.width(l) for l in new_labels]) # max. label width in pixel

        num_new_labels = len(new_labels)
        if num_new_labels < self.n_cur_labels:  # less new labels/qlineedit fields than before
            self._hide_entries(num_new_labels)

        elif num_new_labels > self.n_cur_labels:  # more new labels, create / show new ones
            self._show_entries(num_new_labels)

        tool_tipp_sb = "Min. attenuation resp. maximum level in (this) stop band"
        for i in range(num_new_labels):
            # Update ALL labels and corresponding values
            self.qlabels[i].setText(to_html(new_labels[i], frmt='bi'))

            self.qlineedit[i].setText(str(fb.fil[0][new_labels[i]]))
            self.qlineedit[i].setObjectName(new_labels[i])  # update ID

            if "sb" in new_labels[i].lower():
                self.qlineedit[i].setToolTip("<span>" + tool_tipp_sb +
                                             " (&gt; 0).</span>")
            elif "pb" in new_labels[i].lower():
                self.qlineedit[i].setToolTip(
                    "<span>Maximum ripple (&gt; 0) in (this) pass band.<span/>"
                )
            qstyle_widget(self.qlineedit[i], state)

        self.n_cur_labels = num_new_labels  # update number of currently visible labels
        self.load_dict(
        )  # display rounded filter dict entries in selected unit

#------------------------------------------------------------------------------

    def load_dict(self):
        """
        Reload and reformat the amplitude textfields from filter dict when a new filter
        design algorithm is selected or when the user has changed the unit  (V / W / dB):

        - Reload amplitude entries from filter dictionary and convert to selected to reflect changed settings
          unit.
        - Update the lineedit fields, rounded to specified format.
        """
        unit = fb.fil[0]['amp_specs_unit']

        filt_type = fb.fil[0]['ft']

        for i in range(len(self.qlineedit)):
            amp_label = str(self.qlineedit[i].objectName())
            amp_value = lin2unit(fb.fil[0][amp_label],
                                 filt_type,
                                 amp_label,
                                 unit=unit)

            if not self.qlineedit[i].hasFocus():
                # widget has no focus, round the display
                self.qlineedit[i].setText(params['FMT'].format(amp_value))
            else:
                # widget has focus, show full precision
                self.qlineedit[i].setText(str(amp_value))

#------------------------------------------------------------------------------

    def _set_amp_unit(self, source):
        """
        Store unit for amplitude in filter dictionary, reload amplitude spec 
        entries via load_dict and fire a sigUnitChanged signal
        """
        fb.fil[0]['amp_specs_unit'] = qget_cmb_box(self.cmbUnitsA, data=False)
        self.load_dict()

        self.sig_tx.emit({'sender': __name__, 'view_changed': 'a_unit'})

#------------------------------------------------------------------------------

    def _store_entry(self, source):
        """
        When the textfield of `source` has been edited (flag `self.spec_edited` =  True),
        transform the amplitude spec back to linear unit setting and store it
        in filter dict.
        This is triggered by `QEvent.focusOut`

        Spec entries are *always* stored in linear units; only the
        displayed values are adapted to the amplitude unit, not the dictionary!
        """
        if self.spec_edited:
            unit = str(self.cmbUnitsA.currentText())
            filt_type = fb.fil[0]['ft']
            amp_label = str(source.objectName())
            amp_value = safe_eval(source.text(), fb.data_old, sign='pos')
            fb.fil[0].update(
                {amp_label: unit2lin(amp_value, filt_type, amp_label, unit)})
            self.sig_tx.emit({'sender': __name__, 'specs_changed': 'a_specs'})
            self.spec_edited = False  # reset flag
        self.load_dict()

#-------------------------------------------------------------

    def _hide_entries(self, num_new_labels):
        """
        Hide subwidgets so that only `num_new_labels` subwidgets are visible
        """
        for i in range(num_new_labels, len(self.qlabels)):
            self.qlabels[i].hide()
            self.qlineedit[i].hide()

#------------------------------------------------------------------------

    def _show_entries(self, num_new_labels):
        """
        - check whether enough subwidgets (QLabel und QLineEdit) exist for the 
          the required number of `num_new_labels`: 
              - create new ones if required 
              - initialize them with dummy information
              - install eventFilter for new QLineEdit widgets so that the filter 
                  dict is updated automatically when a QLineEdit field has been 
                  edited.
        - if enough subwidgets exist already, make enough of them visible to
          show all spec fields
        """
        num_tot_labels = len(
            self.qlabels)  # number of existing labels (vis. + invis.)

        if num_tot_labels < num_new_labels:  # new widgets need to be generated
            for i in range(num_tot_labels, num_new_labels):
                self.qlabels.append(QLabel(self))
                self.qlabels[i].setText(to_html("dummy", frmt='bi'))

                self.qlineedit.append(QLineEdit(""))
                self.qlineedit[i].setObjectName("dummy")
                self.qlineedit[i].installEventFilter(self)  # filter events

                # first entry is title
                self.layGSpecs.addWidget(self.qlabels[i], i + 1, 0)
                self.layGSpecs.addWidget(self.qlineedit[i], i + 1, 1)

        else:  # make the right number of widgets visible
            for i in range(self.n_cur_labels, num_new_labels):
                self.qlabels[i].show()
                self.qlineedit[i].show()
コード例 #9
0
class Plot_3D(QWidget):
    """
    Class for various 3D-plots:
    - lin / log line plot of H(f)
    - lin / log surf plot of H(z)
    - optional display of poles / zeros
    """

    # incoming, connected in sender widget (locally connected to self.process_sig_rx() )
    sig_rx = pyqtSignal(object)

    #    sig_tx = pyqtSignal(object) # outgoing from process_signals

    def __init__(self):
        super().__init__()
        self.zmin = 0
        self.zmax = 4
        self.zmin_dB = -80
        self.cmap_default = 'RdYlBu'
        self.data_changed = True  # flag whether data has changed
        self.tool_tip = "3D magnitude response |H(z)|"
        self.tab_label = "3D"

        self._construct_UI()

# ------------------------------------------------------------------------------

    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from the navigation toolbar and from ``sig_rx``
        """
        # logger.debug("Processing {0} | data_changed = {1}, visible = {2}"\
        #              .format(dict_sig, self.data_changed, self.isVisible()))
        if self.isVisible():
            if 'data_changed' in dict_sig or 'home' in dict_sig or self.data_changed:
                self.draw()
                self.data_changed = False
        else:
            if 'data_changed' in dict_sig:
                self.data_changed = True

# ------------------------------------------------------------------------------

    def _construct_UI(self):
        self.but_log = PushButton("dB", checked=False)
        self.but_log.setObjectName("but_log")
        self.but_log.setToolTip("Logarithmic scale")

        self.but_plot_in_UC = PushButton("|z| < 1 ", checked=False)
        self.but_plot_in_UC.setObjectName("but_plot_in_UC")
        self.but_plot_in_UC.setToolTip("Only plot H(z) within the unit circle")

        self.lblBottom = QLabel(to_html("Bottom =", frmt='bi'), self)
        self.ledBottom = QLineEdit(self)
        self.ledBottom.setObjectName("ledBottom")
        self.ledBottom.setText(str(self.zmin))
        self.ledBottom.setToolTip("Minimum display value.")
        self.lblBottomdB = QLabel("dB", self)
        self.lblBottomdB.setVisible(self.but_log.isChecked())

        self.lblTop = QLabel(to_html("Top =", frmt='bi'), self)
        self.ledTop = QLineEdit(self)
        self.ledTop.setObjectName("ledTop")
        self.ledTop.setText(str(self.zmax))
        self.ledTop.setToolTip("Maximum display value.")
        self.lblTopdB = QLabel("dB", self)
        self.lblTopdB.setVisible(self.but_log.isChecked())

        self.plt_UC = PushButton("UC", checked=True)
        self.plt_UC.setObjectName("plt_UC")
        self.plt_UC.setToolTip("Plot unit circle")

        self.but_PZ = PushButton("P/Z ", checked=True)
        self.but_PZ.setObjectName("but_PZ")
        self.but_PZ.setToolTip("Plot poles and zeros")

        self.but_Hf = PushButton("H(f) ", checked=True)
        self.but_Hf.setObjectName("but_Hf")
        self.but_Hf.setToolTip("Plot H(f) along the unit circle")

        modes = ['None', 'Mesh', 'Surf', 'Contour']
        self.cmbMode3D = QComboBox(self)
        self.cmbMode3D.addItems(modes)
        self.cmbMode3D.setObjectName("cmbShow3D")
        self.cmbMode3D.setToolTip("Select 3D-plot mode.")
        self.cmbMode3D.setCurrentIndex(0)
        self.cmbMode3D.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.but_colormap_r = PushButton("reverse", checked=True)
        self.but_colormap_r.setObjectName("but_colormap_r")
        self.but_colormap_r.setToolTip("reverse colormap")

        self.cmbColormap = QComboBox(self)
        self._init_cmb_colormap(cmap_init=self.cmap_default)
        self.cmbColormap.setToolTip("Select colormap")

        self.but_colbar = PushButton("Colorbar ", checked=False)
        self.but_colbar.setObjectName("chkColBar")
        self.but_colbar.setToolTip("Show colorbar")

        self.but_lighting = PushButton("Lighting", checked=False)
        self.but_lighting.setObjectName("but_lighting")
        self.but_lighting.setToolTip("Enable light source")

        self.lblAlpha = QLabel(to_html("Alpha", frmt='bi'), self)
        self.diaAlpha = QDial(self)
        self.diaAlpha.setRange(0, 10)
        self.diaAlpha.setValue(10)
        self.diaAlpha.setTracking(False)  # produce less events when turning
        self.diaAlpha.setFixedHeight(30)
        self.diaAlpha.setFixedWidth(30)
        self.diaAlpha.setWrapping(False)
        self.diaAlpha.setToolTip(
            "<span>Set transparency for surf and contour plots.</span>")

        self.lblHatch = QLabel(to_html("Stride", frmt='bi'), self)
        self.diaHatch = QDial(self)
        self.diaHatch.setRange(0, 9)
        self.diaHatch.setValue(5)
        self.diaHatch.setTracking(False)  # produce less events when turning
        self.diaHatch.setFixedHeight(30)
        self.diaHatch.setFixedWidth(30)
        self.diaHatch.setWrapping(False)
        self.diaHatch.setToolTip("Set line density for various plots.")

        self.but_contour_2d = PushButton("Contour2D ", checked=False)
        self.but_contour_2d.setObjectName("chkContour2D")
        self.but_contour_2d.setToolTip("Plot 2D-contours at z =0")

        # ----------------------------------------------------------------------
        # LAYOUT for UI widgets
        # ----------------------------------------------------------------------
        layGControls = QGridLayout()
        layGControls.addWidget(self.but_log, 0, 0)
        layGControls.addWidget(self.but_plot_in_UC, 1, 0)
        layGControls.addWidget(self.lblTop, 0, 2)
        layGControls.addWidget(self.ledTop, 0, 4)
        layGControls.addWidget(self.lblTopdB, 0, 5)
        layGControls.addWidget(self.lblBottom, 1, 2)
        layGControls.addWidget(self.ledBottom, 1, 4)
        layGControls.addWidget(self.lblBottomdB, 1, 5)
        layGControls.setColumnStretch(5, 1)

        layGControls.addWidget(self.plt_UC, 0, 6)
        layGControls.addWidget(self.but_Hf, 1, 6)
        layGControls.addWidget(self.but_PZ, 0, 8)

        layGControls.addWidget(self.cmbMode3D, 0, 10)
        layGControls.addWidget(self.but_contour_2d, 1, 10)
        layGControls.addWidget(self.cmbColormap, 0, 12, 1, 1)
        layGControls.addWidget(self.but_colormap_r, 1, 12)

        layGControls.addWidget(self.but_lighting, 0, 14)
        layGControls.addWidget(self.but_colbar, 1, 14)

        layGControls.addWidget(self.lblAlpha, 0, 15)
        layGControls.addWidget(self.diaAlpha, 0, 16)

        layGControls.addWidget(self.lblHatch, 1, 15)
        layGControls.addWidget(self.diaHatch, 1, 16)

        # This widget encompasses all control subwidgets
        self.frmControls = QFrame(self)
        self.frmControls.setObjectName("frmControls")
        self.frmControls.setLayout(layGControls)

        # ----------------------------------------------------------------------
        # mplwidget
        # ----------------------------------------------------------------------
        # This is the plot pane widget, encompassing the other widgets
        self.mplwidget = MplWidget(self)
        self.mplwidget.layVMainMpl.addWidget(self.frmControls)
        self.mplwidget.layVMainMpl.setContentsMargins(*params['mpl_margins'])
        self.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_3d.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self._init_grid()  # initialize grid and do initial plot

        # ----------------------------------------------------------------------
        # GLOBAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        self.sig_rx.connect(self.process_sig_rx)
        # ----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        # ----------------------------------------------------------------------
        self.but_log.clicked.connect(self._log_clicked)
        self.ledBottom.editingFinished.connect(self._log_clicked)
        self.ledTop.editingFinished.connect(self._log_clicked)

        self.but_plot_in_UC.clicked.connect(self._init_grid)
        self.plt_UC.clicked.connect(self.draw)
        self.but_Hf.clicked.connect(self.draw)
        self.but_PZ.clicked.connect(self.draw)
        self.cmbMode3D.currentIndexChanged.connect(self.draw)
        self.but_colbar.clicked.connect(self.draw)

        self.cmbColormap.currentIndexChanged.connect(self.draw)
        self.but_colormap_r.clicked.connect(self.draw)

        self.but_lighting.clicked.connect(self.draw)
        self.diaAlpha.valueChanged.connect(self.draw)
        self.diaHatch.valueChanged.connect(self.draw)
        self.but_contour_2d.clicked.connect(self.draw)

        self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)
        # self.mplwidget.mplToolbar.enable_plot(state = False) # disable initially

# ------------------------------------------------------------------------------

    def _init_cmb_colormap(self, cmap_init):
        """
        Initialize combobox with available colormaps and try to set it to `cmap_init`

        Since matplotlib 3.2 the reversed "*_r" colormaps are no longer contained in
        `cm.datad`. They are now obtained by using the `reversed()` method (much simpler!)

        `cm.datad` doesn't return the "new" colormaps like viridis, instead the
        `colormaps()` method is used.
        """
        self.cmbColormap.addItems(
            [m for m in colormaps() if not m.endswith("_r")])

        idx = self.cmbColormap.findText(cmap_init)
        if idx == -1:
            idx = 0
        self.cmbColormap.setCurrentIndex(idx)

# ------------------------------------------------------------------------------

    def _init_grid(self):
        """ Initialize (x,y,z) coordinate grid + (re)draw plot."""
        phi_UC = np.linspace(0, 2 * pi, 400,
                             endpoint=True)  # angles for unit circle
        self.xy_UC = np.exp(1j * phi_UC)  # x,y coordinates of unity circle

        steps = 100  # number of steps for x, y, r, phi
        # cartesian range limits
        self.xmin = -1.5
        self.xmax = 1.5
        self.ymin = -1.5
        self.ymax = 1.5

        # Polar range limits
        rmin = 0
        rmax = 1

        # Calculate grids for 3D-Plots
        dr = rmax / steps * 2  # grid size for polar range
        dx = (self.xmax - self.xmin) / steps
        dy = (self.ymax - self.ymin) / steps  # grid size cartesian range

        if self.but_plot_in_UC.isChecked():  # Plot circular range in 3D-Plot
            [r,
             phi] = np.meshgrid(np.arange(rmin, rmax, dr),
                                np.linspace(0, 2 * pi, steps, endpoint=True))
            self.x = r * cos(phi)
            self.y = r * sin(phi)
        else:  # cartesian grid
            [self.x, self.y] = np.meshgrid(np.arange(self.xmin, self.xmax, dx),
                                           np.arange(self.ymin, self.ymax, dy))

        self.z = self.x + 1j * self.y  # create coordinate grid for complex plane

        self.draw()  # initial plot

# ------------------------------------------------------------------------------

    def init_axes(self):
        """
        Initialize and clear the axes to get rid of colorbar
        The azimuth / elevation / distance settings of the camera are restored
        after clearing the axes. See
        http://stackoverflow.com/questions/4575588/matplotlib-3d-plot-with-pyqt4-in-qtabwidget-mplwidget
        """

        self._save_axes()

        self.mplwidget.fig.clf()  # needed to get rid of colorbar
        self.ax3d = self.mplwidget.fig.add_subplot(111, projection='3d')
        # self.ax3d = self.mplwidget.fig.subplots(nrows=1, ncols=1, projection='3d')

        self._restore_axes()

# ------------------------------------------------------------------------------

    def _save_axes(self):
        """
        Store x/y/z - limits and camera position
        """

        try:
            self.azim = self.ax3d.azim
            self.elev = self.ax3d.elev
            self.dist = self.ax3d.dist
            self.xlim = self.ax3d.get_xlim3d()
            self.ylim = self.ax3d.get_ylim3d()
            self.zlim = self.ax3d.get_zlim3d()

        except AttributeError:  # not yet initialized, set standard values
            self.azim = -65
            self.elev = 30
            self.dist = 10
            self.xlim = (self.xmin, self.xmax)
            self.ylim = (self.ymin, self.ymax)
            self.zlim = (self.zmin, self.zmax)

# ------------------------------------------------------------------------------

    def _restore_axes(self):
        """
        Restore x/y/z - limits and camera position
        """
        if self.mplwidget.mplToolbar.a_lk.isChecked():
            self.ax3d.set_xlim3d(self.xlim)
            self.ax3d.set_ylim3d(self.ylim)
            self.ax3d.set_zlim3d(self.zlim)
        self.ax3d.azim = self.azim
        self.ax3d.elev = self.elev
        self.ax3d.dist = self.dist

# ------------------------------------------------------------------------------

    def _log_clicked(self):
        """
        Change scale and settings to log / lin when log setting is changed
        Update min / max settings when lineEdits have been edited
        """
        if self.sender().objectName(
        ) == 'but_log':  # clicking but_log triggered the slot
            if self.but_log.isChecked():
                self.ledBottom.setText(str(self.zmin_dB))
                self.zmax_dB = np.round(20 * log10(self.zmax), 2)
                self.ledTop.setText(str(self.zmax_dB))
                self.lblTopdB.setVisible(True)
                self.lblBottomdB.setVisible(True)
            else:
                self.ledBottom.setText(str(self.zmin))
                self.zmax = np.round(10**(self.zmax_dB / 20), 2)
                self.ledTop.setText(str(self.zmax))
                self.lblTopdB.setVisible(False)
                self.lblBottomdB.setVisible(False)

        else:  # finishing a lineEdit field triggered the slot
            if self.but_log.isChecked():
                self.zmin_dB = safe_eval(self.ledBottom.text(),
                                         self.zmin_dB,
                                         return_type='float')
                self.ledBottom.setText(str(self.zmin_dB))
                self.zmax_dB = safe_eval(self.ledTop.text(),
                                         self.zmax_dB,
                                         return_type='float')
                self.ledTop.setText(str(self.zmax_dB))
            else:
                self.zmin = safe_eval(self.ledBottom.text(),
                                      self.zmin,
                                      return_type='float')
                self.ledBottom.setText(str(self.zmin))
                self.zmax = safe_eval(self.ledTop.text(),
                                      self.zmax,
                                      return_type='float')
                self.ledTop.setText(str(self.zmax))

        self.draw()

# ------------------------------------------------------------------------------

    def draw(self):
        """
        Main drawing entry point: perform the actual plot
        """
        self.draw_3d()

# ------------------------------------------------------------------------------

    def draw_3d(self):
        """
        Draw various 3D plots
        """
        self.init_axes()

        bb = fb.fil[0]['ba'][0]
        aa = fb.fil[0]['ba'][1]

        zz = np.array(fb.fil[0]['zpk'][0])
        pp = np.array(fb.fil[0]['zpk'][1])

        wholeF = fb.fil[0]['freqSpecsRangeType'] != 'half'  # not used
        f_S = fb.fil[0]['f_S']
        N_FFT = params['N_FFT']

        alpha = self.diaAlpha.value() / 10.

        cmap = cm.get_cmap(str(self.cmbColormap.currentText()))
        if self.but_colormap_r.isChecked():
            cmap = cmap.reversed()  # use reversed colormap

        # Number of Lines /step size for H(f) stride, mesh, contour3d:
        stride = 10 - self.diaHatch.value()
        NL = 3 * self.diaHatch.value() + 5

        surf_enabled = qget_cmb_box(self.cmbMode3D, data=False) in {'Surf', 'Contour'}\
            or self.but_contour_2d.isChecked()
        self.cmbColormap.setEnabled(surf_enabled)
        self.but_colormap_r.setEnabled(surf_enabled)
        self.but_lighting.setEnabled(surf_enabled)
        self.but_colbar.setEnabled(surf_enabled)
        self.diaAlpha.setEnabled(surf_enabled
                                 or self.but_contour_2d.isChecked())

        # cNorm  = colors.Normalize(vmin=0, vmax=values[-1])
        # scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)

        # -----------------------------------------------------------------------------
        # Calculate H(w) along the upper half of unity circle
        # -----------------------------------------------------------------------------

        [w, H] = sig.freqz(bb, aa, worN=N_FFT, whole=True)
        H = np.nan_to_num(H)  # replace nans and inf by finite numbers

        H_abs = abs(H)
        H_max = max(H_abs)
        H_min = min(H_abs)
        # f = w / (2 * pi) * f_S                  # translate w to absolute frequencies
        # F_min = f[np.argmin(H_abs)]

        plevel_rel = 1.05  # height of plotted pole position relative to zmax
        zlevel_rel = 0.1  # height of plotted zero position relative to zmax

        if self.but_log.isChecked():  # logarithmic scale
            # suppress "divide by zero in log10" warnings
            old_settings_seterr = np.seterr()
            np.seterr(divide='ignore')

            bottom = np.floor(max(self.zmin_dB, 20 * log10(H_min)) / 10) * 10
            top = self.zmax_dB
            top_bottom = top - bottom

            zlevel = bottom - top_bottom * zlevel_rel

            if self.cmbMode3D.currentText(
            ) == 'None':  # "Poleposition": H(f) plot only
                plevel_top = 2 * bottom - zlevel  # height of displayed pole position
                plevel_btm = bottom
            else:
                plevel_top = top + top_bottom * (plevel_rel - 1)
                plevel_btm = top

            np.seterr(**old_settings_seterr)

        else:  # linear scale
            bottom = max(self.zmin, H_min)  # min. display value
            top = self.zmax  # max. display value
            top_bottom = top - bottom
            #   top = zmax_rel * H_max # calculate display top from max. of H(f)

            zlevel = bottom + top_bottom * zlevel_rel  # height of displayed zero position

            if self.cmbMode3D.currentText(
            ) == 'None':  # "Poleposition": H(f) plot only
                #H_max = np.clip(max(H_abs), 0, self.zmax)
                # make height of displayed poles same to zeros
                plevel_top = bottom + top_bottom * zlevel_rel
                plevel_btm = bottom
            else:
                plevel_top = plevel_rel * top
                plevel_btm = top

        # calculate H(jw)| along the unity circle and |H(z)|, each clipped
        # between bottom and top
        H_UC = H_mag(bb,
                     aa,
                     self.xy_UC,
                     top,
                     H_min=bottom,
                     log=self.but_log.isChecked())
        Hmag = H_mag(bb,
                     aa,
                     self.z,
                     top,
                     H_min=bottom,
                     log=self.but_log.isChecked())

        # ===============================================================
        # Plot Unit Circle (UC)
        # ===============================================================
        if self.plt_UC.isChecked():
            #  Plot unit circle and marker at (1,0):
            self.ax3d.plot(self.xy_UC.real,
                           self.xy_UC.imag,
                           ones(len(self.xy_UC)) * bottom,
                           lw=2,
                           color='k')
            self.ax3d.plot([0.97, 1.03], [0, 0], [bottom, bottom],
                           lw=2,
                           color='k')

        # ===============================================================
        # Plot ||H(f)| along unit circle as 3D-lineplot
        # ===============================================================
        if self.but_Hf.isChecked():
            self.ax3d.plot(self.xy_UC.real,
                           self.xy_UC.imag,
                           H_UC,
                           alpha=0.8,
                           lw=4)
            # draw once more as dashed white line to improve visibility
            self.ax3d.plot(self.xy_UC.real, self.xy_UC.imag, H_UC, 'w--', lw=4)

            if stride < 10:  # plot thin vertical line every stride points on the UC
                for k in range(len(self.xy_UC[::stride])):
                    self.ax3d.plot([
                        self.xy_UC.real[::stride][k],
                        self.xy_UC.real[::stride][k]
                    ], [
                        self.xy_UC.imag[::stride][k],
                        self.xy_UC.imag[::stride][k]
                    ], [
                        np.ones(len(self.xy_UC[::stride]))[k] * bottom,
                        H_UC[::stride][k]
                    ],
                                   linewidth=1,
                                   color=(0.5, 0.5, 0.5))

        # ===============================================================
        # Plot Poles and Zeros
        # ===============================================================
        if self.but_PZ.isChecked():

            PN_SIZE = 8  # size of P/N symbols

            # Plot zero markers at |H(z_i)| = zlevel with "stems":
            self.ax3d.plot(zz.real,
                           zz.imag,
                           ones(len(zz)) * zlevel,
                           'o',
                           markersize=PN_SIZE,
                           markeredgecolor='blue',
                           markeredgewidth=2.0,
                           markerfacecolor='none')
            for k in range(len(zz)):  # plot zero "stems"
                self.ax3d.plot([zz[k].real, zz[k].real],
                               [zz[k].imag, zz[k].imag], [bottom, zlevel],
                               linewidth=1,
                               color='b')

            # Plot the poles at |H(z_p)| = plevel with "stems":
            self.ax3d.plot(np.real(pp),
                           np.imag(pp),
                           plevel_top,
                           'x',
                           markersize=PN_SIZE,
                           markeredgewidth=2.0,
                           markeredgecolor='red')
            for k in range(len(pp)):  # plot pole "stems"
                self.ax3d.plot([pp[k].real, pp[k].real],
                               [pp[k].imag, pp[k].imag],
                               [plevel_btm, plevel_top],
                               linewidth=1,
                               color='r')

        # ===============================================================
        # 3D-Plots of |H(z)| clipped between |H(z)| = top
        # ===============================================================

        m_cb = cm.ScalarMappable(
            cmap=cmap)  # normalized proxy object that is mappable
        m_cb.set_array(Hmag)  # for colorbar

        # ---------------------------------------------------------------
        # 3D-mesh plot
        # ---------------------------------------------------------------
        if self.cmbMode3D.currentText() == 'Mesh':
            # fig_mlab = mlab.figure(fgcolor=(0., 0., 0.), bgcolor=(1, 1, 1))
            # self.ax3d.set_zlim(0,2)
            self.ax3d.plot_wireframe(self.x,
                                     self.y,
                                     Hmag,
                                     rstride=5,
                                     cstride=stride,
                                     linewidth=1,
                                     color='gray')

        # ---------------------------------------------------------------
        # 3D-surface plot
        # ---------------------------------------------------------------
        # http://stackoverflow.com/questions/28232879/phong-shading-for-shiny-python-3d-surface-plots
        elif self.cmbMode3D.currentText() == 'Surf':
            if MLAB:
                # Mayavi
                surf = mlab.surf(self.x,
                                 self.y,
                                 H_mag,
                                 colormap='RdYlBu',
                                 warp_scale='auto')
                # Change the visualization parameters.
                surf.actor.property.interpolation = 'phong'
                surf.actor.property.specular = 0.1
                surf.actor.property.specular_power = 5
                #                s = mlab.contour_surf(self.x, self.y, Hmag, contour_z=0)
                mlab.show()

            else:
                if self.but_lighting.isChecked():
                    ls = LightSource(azdeg=0,
                                     altdeg=65)  # Create light source object
                    rgb = ls.shade(
                        Hmag, cmap=cmap)  # Shade data, creating an rgb array
                    cmap_surf = None
                else:
                    rgb = None
                    cmap_surf = cmap

    #            s = self.ax3d.plot_surface(self.x, self.y, Hmag,
    #                    alpha=OPT_3D_ALPHA, rstride=1, cstride=1, cmap=cmap,
    #                    linewidth=0, antialiased=False, shade=True, facecolors = rgb)
    #            s.set_edgecolor('gray')
                s = self.ax3d.plot_surface(self.x,
                                           self.y,
                                           Hmag,
                                           alpha=alpha,
                                           rstride=1,
                                           cstride=1,
                                           linewidth=0,
                                           antialiased=False,
                                           facecolors=rgb,
                                           cmap=cmap_surf,
                                           shade=True)
                s.set_edgecolor(None)
        # ---------------------------------------------------------------
        # 3D-Contour plot
        # ---------------------------------------------------------------
        elif self.cmbMode3D.currentText() == 'Contour':
            s = self.ax3d.contourf3D(self.x,
                                     self.y,
                                     Hmag,
                                     NL,
                                     alpha=alpha,
                                     cmap=cmap)

        # ---------------------------------------------------------------
        # 2D-Contour plot
        # TODO: 2D contour plots do not plot correctly together with 3D plots in
        #       current matplotlib 1.4.3 -> disable them for now
        # TODO: zdir = x / y delivers unexpected results -> rather plot max(H)
        #       along the other axis?
        # TODO: colormap is created depending on the zdir = 'z' contour plot
        #       -> set limits of (all) other plots manually?
        if self.but_contour_2d.isChecked():
            #            self.ax3d.contourf(x, y, Hmag, 20, zdir='x', offset=xmin,
            #                         cmap=cmap, alpha = alpha)#, vmin = bottom)#, vmax = top, vmin = bottom)
            #            self.ax3d.contourf(x, y, Hmag, 20, zdir='y', offset=ymax,
            #                         cmap=cmap, alpha = alpha)#, vmin = bottom)#, vmax = top, vmin = bottom)
            s = self.ax3d.contourf(self.x,
                                   self.y,
                                   Hmag,
                                   NL,
                                   zdir='z',
                                   offset=bottom - (top - bottom) * 0.05,
                                   cmap=cmap,
                                   alpha=alpha)

        # plot colorbar for suitable plot modes
        if self.but_colbar.isChecked() and (
                self.but_contour_2d.isChecked()
                or str(self.cmbMode3D.currentText()) in {'Contour', 'Surf'}):
            self.colb = self.mplwidget.fig.colorbar(m_cb,
                                                    ax=self.ax3d,
                                                    shrink=0.8,
                                                    aspect=20,
                                                    pad=0.02,
                                                    fraction=0.08)

        # ----------------------------------------------------------------------
        # Set view limits and labels
        # ----------------------------------------------------------------------
        if not self.mplwidget.mplToolbar.a_lk.isChecked():
            self.ax3d.set_xlim3d(self.xmin, self.xmax)
            self.ax3d.set_ylim3d(self.ymin, self.ymax)
            self.ax3d.set_zlim3d(bottom, top)
        else:
            self._restore_axes()

        self.ax3d.set_xlabel('Re')  #(fb.fil[0]['plt_fLabel'])
        self.ax3d.set_ylabel(
            'Im'
        )  #(r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega}) / T_S \; \rightarrow $')
        #        self.ax3d.set_zlabel(r'$|H(z)|\; \rightarrow $')
        self.ax3d.set_title(
            r'3D-Plot of $|H(\mathrm{e}^{\mathrm{j} \Omega})|$ and $|H(z)|$')

        self.redraw()

# ------------------------------------------------------------------------------

    def redraw(self):
        """
        Redraw the canvas when e.g. the canvas size has changed
        """
        self.mplwidget.redraw()
コード例 #10
0
class Plot_Hf(QWidget):
    """
    Widget for plotting \|H(f)\|, frequency specs and the phase
    """
    # incoming, connected in sender widget (locally connected to self.process_sig_rx() )
    sig_rx = pyqtSignal(object)

    def __init__(self, parent):
        super(Plot_Hf, self).__init__(parent)
        self.needs_calc = True  # flag whether plot needs to be updated
        self.needs_draw = True  # flag whether plot needs to be redrawn
        self.tool_tip = "Magnitude and phase frequency response"
        self.tab_label = "|H(f)|"

        self.log_bottom = -80
        self.lin_neg_bottom = -10

        self._construct_ui()

#------------------------------------------------------------------------------

    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from the navigation toolbar and from sig_rx
        """
        logger.debug("SIG_RX - needs_calc = {0}, vis = {1}\n{2}"\
                     .format(self.needs_calc, self.isVisible(), pprint_log(dict_sig)))

        if self.isVisible():
            if 'data_changed' in dict_sig or 'specs_changed' in dict_sig\
                    or 'home' in dict_sig or self.needs_calc:
                self.draw()
                self.needs_calc = False
                self.needs_draw = False
            if 'view_changed' in dict_sig or self.needs_draw:
                self.update_view()
                self.needs_draw = False
        else:
            if 'data_changed' in dict_sig or 'specs_changed' in dict_sig:
                self.needs_calc = True
            if 'view_changed' in dict_sig:
                self.needs_draw = True

    def _construct_ui(self):
        """
        Define and construct the subwidgets
        """
        modes = ['| H |', 're{H}', 'im{H}']
        self.cmbShowH = QComboBox(self)
        self.cmbShowH.addItems(modes)
        self.cmbShowH.setObjectName("cmbUnitsH")
        self.cmbShowH.setToolTip(
            "Show magnitude, real / imag. part of H or H \n"
            "without linear phase (acausal system).")
        self.cmbShowH.setCurrentIndex(0)

        self.lblIn = QLabel("in", self)

        units = ['dB', 'V', 'W', 'Auto']
        self.cmbUnitsA = QComboBox(self)
        self.cmbUnitsA.addItems(units)
        self.cmbUnitsA.setObjectName("cmbUnitsA")
        self.cmbUnitsA.setToolTip(
            "<span>Set unit for y-axis:\n"
            "dB is attenuation (positive values), V and W are gain (less than 1).</span>"
        )
        self.cmbUnitsA.setCurrentIndex(0)

        self.lbl_log_bottom = QLabel("Bottom", self)
        self.led_log_bottom = QLineEdit(self)
        self.led_log_bottom.setText(str(self.log_bottom))
        self.led_log_bottom.setToolTip(
            "<span>Minimum display value for dB. scale.</span>")
        self.lbl_log_unit = QLabel("dB", self)

        self.cmbShowH.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbUnitsA.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.chkZerophase = QCheckBox("Zero phase", self)
        self.chkZerophase.setToolTip(
            "<span>Remove linear phase calculated from filter order.\n"
            "Attention: This makes no sense for a non-linear phase system!</span>"
        )

        self.lblInset = QLabel("Inset", self)
        self.cmbInset = QComboBox(self)
        self.cmbInset.addItems(['off', 'edit', 'fixed'])
        self.cmbInset.setObjectName("cmbInset")
        self.cmbInset.setToolTip("Display/edit second inset plot")
        self.cmbInset.setCurrentIndex(0)
        self.inset_idx = 0  # store previous index for comparison

        self.chkSpecs = QCheckBox("Specs", self)
        self.chkSpecs.setChecked(False)
        self.chkSpecs.setToolTip("Display filter specs as hatched regions")

        self.chkPhase = QCheckBox("Phase", self)
        self.chkPhase.setToolTip("Overlay phase")
        self.chkPhase.setChecked(False)

        self.chkAlign = QCheckBox("Align", self)
        self.chkAlign.setToolTip(
            "<span>Try to align grids for magnitude and phase "
            "(doesn't work in all cases).</span>")
        self.chkAlign.setChecked(True)
        self.chkAlign.setVisible(self.chkPhase.isChecked())

        #----------------------------------------------------------------------
        #               ### frmControls ###
        #
        # This widget encompasses all control subwidgets
        #----------------------------------------------------------------------
        layHControls = QHBoxLayout()
        layHControls.addStretch(10)
        layHControls.addWidget(self.cmbShowH)
        layHControls.addWidget(self.lblIn)
        layHControls.addWidget(self.cmbUnitsA)
        layHControls.addStretch(1)
        layHControls.addWidget(self.lbl_log_bottom)
        layHControls.addWidget(self.led_log_bottom)
        layHControls.addWidget(self.lbl_log_unit)
        layHControls.addStretch(1)
        layHControls.addWidget(self.chkZerophase)
        layHControls.addStretch(1)
        layHControls.addWidget(self.lblInset)
        layHControls.addWidget(self.cmbInset)
        layHControls.addStretch(1)
        layHControls.addWidget(self.chkSpecs)
        layHControls.addStretch(1)
        layHControls.addWidget(self.chkPhase)
        layHControls.addWidget(self.chkAlign)
        layHControls.addStretch(10)

        self.frmControls = QFrame(self)
        self.frmControls.setObjectName("frmControls")
        self.frmControls.setLayout(layHControls)

        #----------------------------------------------------------------------
        #               ### mplwidget ###
        #
        # main widget, encompassing the other widgets
        #----------------------------------------------------------------------
        self.mplwidget = MplWidget(self)
        self.mplwidget.layVMainMpl.addWidget(self.frmControls)
        self.mplwidget.layVMainMpl.setContentsMargins(*params['wdg_margins'])
        self.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_hf.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()

        self.draw()  # calculate and draw |H(f)|

        #----------------------------------------------------------------------
        # GLOBAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.sig_rx.connect(self.process_sig_rx)
        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.cmbUnitsA.currentIndexChanged.connect(self.draw)
        self.led_log_bottom.editingFinished.connect(self.update_view)
        self.cmbShowH.currentIndexChanged.connect(self.draw)

        self.chkZerophase.clicked.connect(self.draw)
        self.cmbInset.currentIndexChanged.connect(self.draw_inset)

        self.chkSpecs.clicked.connect(self.draw)
        self.chkPhase.clicked.connect(self.draw)
        self.chkAlign.clicked.connect(self.draw)

        self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)

#------------------------------------------------------------------------------

    def init_axes(self):
        """
        Initialize and clear the axes (this is run only once)
        """
        if len(self.mplwidget.fig.get_axes()) == 0:  # empty figure, no axes
            self.ax = self.mplwidget.fig.subplots()
        self.ax.xaxis.tick_bottom()  # remove axis ticks on top
        self.ax.yaxis.tick_left()  # remove axis ticks right

#------------------------------------------------------------------------------

    def align_y_axes(self, ax1, ax2):
        """ Sets tick marks of twinx axes to line up with total number of
            ax1 tick marks
            """

        ax1_ylims = ax1.get_ybound()
        # collect only visible ticks
        ax1_yticks = [
            t for t in ax1.get_yticks()
            if t >= ax1_ylims[0] and t <= ax1_ylims[1]
        ]
        ax1_nticks = len(ax1_yticks)
        ax1_ydelta_lim = ax1_ylims[1] - ax1_ylims[0]  # span of limits
        ax1_ydelta_vis = ax1_yticks[-1] - ax1_yticks[
            0]  # delta of max. and min tick
        ax1_yoffset = ax1_yticks[0] - ax1_ylims[
            0]  # offset between lower limit and first tick

        # calculate scale of Delta Limits / Delta Ticks
        ax1_scale = ax1_ydelta_lim / ax1_ydelta_vis

        ax2_ylims = ax2.get_ybound()
        ax2_yticks = ax2.get_yticks()
        ax2_nticks = len(ax2_yticks)
        #ax2_ydelta_lim = ax2_ylims[1] - ax2_ylims[0]
        ax2_ydelta_vis = ax2_yticks[-1] - ax2_yticks[0]
        ax2_ydelta_lim = ax2_ydelta_vis * ax1_scale
        ax2_scale = ax2_ydelta_lim / ax2_ydelta_vis
        # calculate new offset between lower limit and first tick
        ax2_yoffset = ax1_yoffset * ax2_ydelta_lim / ax1_ydelta_lim
        logger.warning("ax2: delta_vis: {0}, scale: {1}, offset: {2}".format(
            ax2_ydelta_vis, ax2_scale, ax2_yoffset))
        logger.warning("Ticks: {0} # {1}".format(ax1_nticks, ax2_nticks))

        ax2.set_yticks(
            np.linspace(ax2_yticks[0], (ax2_yticks[1] - ax2_yticks[0]),
                        ax1_nticks))
        logger.warning("ax2[0]={0} | ax2[1]={1} ax2[-1]={2}".format(
            ax2_yticks[0], ax2_yticks[1], ax2_yticks[-1]))
        ax2_lim0 = ax2_yticks[0] - ax2_yoffset
        ax2.set_ybound(ax2_lim0, ax2_lim0 + ax2_ydelta_lim)

# =============================================================================
#             # https://stackoverflow.com/questions/26752464/how-do-i-align-gridlines-for-two-y-axis-scales-using-matplotlib
#             # works, but both axes have ugly numbers
#             nticks = 11
#             ax.yaxis.set_major_locator(ticker.LinearLocator(nticks))
#             self.ax_p.yaxis.set_major_locator(ticker.LinearLocator(nticks))
# # =============================================================================
# =============================================================================
#             # https://stackoverflow.com/questions/45037386/trouble-aligning-ticks-for-matplotlib-twinx-axes
#             # works, but second axis has ugly numbering
#             l_H = ax.get_ylim()
#             l_p = self.ax_p.get_ylim()
#             f = lambda x : l_p[0]+(x-l_H[0])/(l_H[1]-l_H[0])*(l_p[1]-l_p[0])
#             ticks = f(ax.get_yticks())
#             self.ax_p.yaxis.set_major_locator(ticker.FixedLocator(ticks))
#
# =============================================================================

# http://stackoverflow.com/questions/28692608/align-grid-lines-on-two-plots
# http://stackoverflow.com/questions/3654619/matplotlib-multiple-y-axes-grid-lines-applied-to-both
# http://stackoverflow.com/questions/20243683/matplotlib-align-twinx-tick-marks
# manual setting:
#self.ax_p.set_yticks( np.linspace(self.ax_p.get_ylim()[0],self.ax_p.get_ylim()[1],nbins) )
#ax1.set_yticks(np.linspace(ax1.get_ybound()[0], ax1.get_ybound()[1], 5))
#ax2.set_yticks(np.linspace(ax2.get_ybound()[0], ax2.get_ybound()[1], 5))
#http://stackoverflow.com/questions/3654619/matplotlib-multiple-y-axes-grid-lines-applied-to-both

# use helper functions from matplotlib.ticker:
#   MaxNLocator: set no more than nbins + 1 ticks
#self.ax_p.yaxis.set_major_locator( matplotlib.ticker.MaxNLocator(nbins = nbins) )
# further options: integer = False,
#                   prune = [‘lower’ | ‘upper’ | ‘both’ | None] Remove edge ticks
#   AutoLocator:
#self.ax_p.yaxis.set_major_locator( matplotlib.ticker.AutoLocator() )
#   LinearLocator:
#self.ax_p.yaxis.set_major_locator( matplotlib.ticker.LinearLocator(numticks = nbins -1 ) )

#            self.ax_p.locator_params(axis = 'y', nbins = nbins)
#
#            self.ax_p.set_yticks(np.linspace(self.ax_p.get_ybound()[0],
#                                             self.ax_p.get_ybound()[1],
#                                             len(self.ax.get_yticks())-1))

#N = source_ax.xaxis.get_major_ticks()
#target_ax.xaxis.set_major_locator(LinearLocator(N))

#------------------------------------------------------------------------------

    def plot_spec_limits(self, ax):
        """
        Plot the specifications limits (F_SB, A_SB, ...) as hatched areas with borders.
        """
        hatch = params['mpl_hatch']
        hatch_borders = params['mpl_hatch_border']

        def dB(lin):
            return 20 * np.log10(lin)

        def _plot_specs():
            # upper limits:
            ax.plot(F_lim_upl, A_lim_upl, F_lim_upc, A_lim_upc, F_lim_upr,
                    A_lim_upr, **hatch_borders)
            if A_lim_upl:
                ax.fill_between(F_lim_upl, max(A_lim_upl), A_lim_upl, **hatch)
            if A_lim_upc:
                ax.fill_between(F_lim_upc, max(A_lim_upc), A_lim_upc, **hatch)
            if A_lim_upr:
                ax.fill_between(F_lim_upr, max(A_lim_upr), A_lim_upr, **hatch)
            # lower limits:
            ax.plot(F_lim_lol, A_lim_lol, F_lim_loc, A_lim_loc, F_lim_lor,
                    A_lim_lor, **hatch_borders)
            if A_lim_lol:
                ax.fill_between(F_lim_lol, min(A_lim_lol), A_lim_lol, **hatch)
            if A_lim_loc:
                ax.fill_between(F_lim_loc, min(A_lim_loc), A_lim_loc, **hatch)
            if A_lim_lor:
                ax.fill_between(F_lim_lor, min(A_lim_lor), A_lim_lor, **hatch)

        if self.unitA == 'V':
            exp = 1.
        elif self.unitA == 'W':
            exp = 2.

        if self.unitA == 'dB':
            if fb.fil[0]['ft'] == "FIR":
                A_PB_max = dB(1 + self.A_PB)
                A_PB2_max = dB(1 + self.A_PB2)
            else:  # IIR dB
                A_PB_max = A_PB2_max = 0

            A_PB_min = dB(1 - self.A_PB)
            A_PB2_min = dB(1 - self.A_PB2)
            A_PB_minx = min(A_PB_min, A_PB2_min) - 5
            A_PB_maxx = max(A_PB_max, A_PB2_max) + 5

            A_SB = dB(self.A_SB)
            A_SB2 = dB(self.A_SB2)
            A_SB_maxx = max(A_SB, A_SB2) + 10
        else:  # 'V' or 'W'
            if fb.fil[0]['ft'] == "FIR":
                A_PB_max = (1 + self.A_PB)**exp
                A_PB2_max = (1 + self.A_PB2)**exp
            else:  # IIR lin
                A_PB_max = A_PB2_max = 1

            A_PB_min = (1 - self.A_PB)**exp
            A_PB2_min = (1 - self.A_PB2)**exp
            A_PB_minx = min(A_PB_min, A_PB2_min) / 1.05
            A_PB_maxx = max(A_PB_max, A_PB2_max) * 1.05

            A_SB = self.A_SB**exp
            A_SB2 = self.A_SB2**exp
            A_SB_maxx = A_PB_min / 10.

        F_max = self.f_max / 2
        F_PB = self.F_PB
        F_SB = fb.fil[0]['F_SB'] * self.f_max
        F_SB2 = fb.fil[0]['F_SB2'] * self.f_max
        F_PB2 = fb.fil[0]['F_PB2'] * self.f_max

        F_lim_upl = F_lim_lol = []  # left side limits, lower and upper
        A_lim_upl = A_lim_lol = []

        F_lim_upc = F_lim_loc = []  # center limits, lower and upper
        A_lim_upc = A_lim_loc = []

        F_lim_upr = F_lim_lor = []  # right side limits, lower and upper
        A_lim_upr = A_lim_lor = []

        if fb.fil[0]['rt'] == 'LP':
            F_lim_upl = [0, F_PB, F_PB]
            A_lim_upl = [A_PB_max, A_PB_max, A_PB_maxx]
            F_lim_lol = F_lim_upl
            A_lim_lol = [A_PB_min, A_PB_min, A_PB_minx]

            F_lim_upr = [F_SB, F_SB, F_max]
            A_lim_upr = [A_SB_maxx, A_SB, A_SB]

        if fb.fil[0]['rt'] == 'HP':
            F_lim_upl = [0, F_SB, F_SB]
            A_lim_upl = [A_SB, A_SB, A_SB_maxx]

            F_lim_upr = [F_PB, F_PB, F_max]
            A_lim_upr = [A_PB_maxx, A_PB_max, A_PB_max]
            F_lim_lor = F_lim_upr
            A_lim_lor = [A_PB_minx, A_PB_min, A_PB_min]

        if fb.fil[0]['rt'] == 'BS':
            F_lim_upl = [0, F_PB, F_PB]
            A_lim_upl = [A_PB_max, A_PB_max, A_PB_maxx]
            F_lim_lol = F_lim_upl
            A_lim_lol = [A_PB_min, A_PB_min, A_PB_minx]

            F_lim_upc = [F_SB, F_SB, F_SB2, F_SB2]
            A_lim_upc = [A_SB_maxx, A_SB, A_SB, A_SB_maxx]

            F_lim_upr = [F_PB2, F_PB2, F_max]
            A_lim_upr = [A_PB_maxx, A_PB2_max, A_PB2_max]
            F_lim_lor = F_lim_upr
            A_lim_lor = [A_PB_minx, A_PB2_min, A_PB2_min]

        if fb.fil[0]['rt'] == 'BP':
            F_lim_upl = [0, F_SB, F_SB]
            A_lim_upl = [A_SB, A_SB, A_SB_maxx]

            F_lim_upc = [F_PB, F_PB, F_PB2, F_PB2]
            A_lim_upc = [A_PB_maxx, A_PB_max, A_PB_max, A_PB_maxx]
            F_lim_loc = F_lim_upc
            A_lim_loc = [A_PB_minx, A_PB_min, A_PB_min, A_PB_minx]

            F_lim_upr = [F_SB2, F_SB2, F_max]
            A_lim_upr = [A_SB_maxx, A_SB2, A_SB2]

        if fb.fil[0]['rt'] == 'HIL':
            F_lim_upc = [F_PB, F_PB, F_PB2, F_PB2]
            A_lim_upc = [A_PB_maxx, A_PB_max, A_PB_max, A_PB_maxx]

            F_lim_loc = F_lim_upc
            A_lim_loc = [A_PB_minx, A_PB_min, A_PB_min, A_PB_minx]

        F_lim_upr = np.array(F_lim_upr)
        F_lim_lor = np.array(F_lim_lor)
        F_lim_upl = np.array(F_lim_upl)
        F_lim_lol = np.array(F_lim_lol)
        F_lim_upc = np.array(F_lim_upc)
        F_lim_loc = np.array(F_lim_loc)

        _plot_specs()  # plot specs in the range 0 ... f_S/2

        if fb.fil[0]['freqSpecsRangeType'] != 'half':
            # add plot limits for other half of the spectrum
            if fb.fil[0][
                    'freqSpecsRangeType'] == 'sym':  # frequency axis +/- f_S/2
                F_lim_upl = -F_lim_upl
                F_lim_lol = -F_lim_lol
                F_lim_upc = -F_lim_upc
                F_lim_loc = -F_lim_loc
                F_lim_upr = -F_lim_upr
                F_lim_lor = -F_lim_lor
            else:  # -> 'whole'
                F_lim_upl = self.f_max - F_lim_upl
                F_lim_lol = self.f_max - F_lim_lol
                F_lim_upc = self.f_max - F_lim_upc
                F_lim_loc = self.f_max - F_lim_loc
                F_lim_upr = self.f_max - F_lim_upr
                F_lim_lor = self.f_max - F_lim_lor

            _plot_specs()

#------------------------------------------------------------------------------

    def draw_inset(self):
        """
        Construct / destruct second axes for an inset second plot
        """
        # TODO:  try   ax1 = zoomed_inset_axes(ax, 6, loc=1) # zoom = 6
        # TODO: choose size & position of inset, maybe dependent on filter type
        #        or specs (i.e. where is passband etc.)

        # DEBUG
        #            print(self.cmbInset.currentIndex(), self.mplwidget.fig.axes) # list of axes in Figure
        #            for ax in self.mplwidget.fig.axes:
        #                print(ax)
        #                print("cmbInset, inset_idx:",self.cmbInset.currentIndex(), self.inset_idx)

        if self.cmbInset.currentIndex() > 0:
            if self.inset_idx == 0:
                # Inset was turned off before, create a new one
                #  Add an axes at position rect [left, bottom, width, height]:
                self.ax_i = self.mplwidget.fig.add_axes([0.65, 0.61, .3, .3])
                self.ax_i.clear()  # clear old plot and specs

                # draw an opaque background with the extent of the inset plot:
                #                self.ax_i.patch.set_facecolor('green') # without label area
                #                self.mplwidget.fig.patch.set_facecolor('green') # whole figure
                extent = self.mplwidget.get_full_extent(self.ax_i, pad=0.0)
                # Transform this back to figure coordinates - otherwise, it
                #  won't behave correctly when the size of the plot is changed:
                extent = extent.transformed(
                    self.mplwidget.fig.transFigure.inverted())
                rect = Rectangle((extent.xmin, extent.ymin),
                                 extent.width,
                                 extent.height,
                                 facecolor=rcParams['figure.facecolor'],
                                 edgecolor='none',
                                 transform=self.mplwidget.fig.transFigure,
                                 zorder=-1)
                self.ax_i.patches.append(rect)

                self.ax_i.set_xlim(fb.fil[0]['freqSpecsRange'])
                self.ax_i.plot(self.F, self.H_plt)

            if self.cmbInset.currentIndex() == 1:  # edit / navigate inset
                self.ax_i.set_navigate(True)
                self.ax.set_navigate(False)
                if self.chkSpecs.isChecked():
                    self.plot_spec_limits(self.ax_i)
            else:  # edit / navigate main plot
                self.ax_i.set_navigate(False)
                self.ax.set_navigate(True)
        else:  # inset has been turned off, delete it
            self.ax.set_navigate(True)
            try:
                #remove ax_i from the figure
                self.mplwidget.fig.delaxes(self.ax_i)
            except AttributeError:
                pass

        self.inset_idx = self.cmbInset.currentIndex()  # update index
        self.draw()

#------------------------------------------------------------------------------

    def draw_phase(self, ax):
        """
        Draw phase on second y-axis in the axes system passed as the argument
        """
        if hasattr(self, 'ax_p'):
            self.mplwidget.fig.delaxes(self.ax_p)
            del self.ax_p
        # try:
        #     self.mplwidget.fig.delaxes(self.ax_p)
        # except (KeyError, AttributeError):
        #     pass

        if self.chkPhase.isChecked():
            self.ax_p = ax.twinx(
            )  # second axes system with same x-axis for phase
            self.ax_p.is_twin = True  # mark this as 'twin' to suppress second grid in mpl_widget
            #
            phi_str = r'$\angle H(\mathrm{e}^{\mathrm{j} \Omega})$'
            if fb.fil[0]['plt_phiUnit'] == 'rad':
                phi_str += ' in rad ' + r'$\rightarrow $'
                scale = 1.
            elif fb.fil[0]['plt_phiUnit'] == 'rad/pi':
                phi_str += ' in rad' + r'$ / \pi \;\rightarrow $'
                scale = 1. / np.pi
            else:
                phi_str += ' in deg ' + r'$\rightarrow $'
                scale = 180. / np.pi

            # replace nan and inf by finite values, otherwise np.unwrap yields
            # an array full of nans
            phi = np.angle(np.nan_to_num(self.H_c))
            #-----------------------------------------------------------
            self.ax_p.plot(self.F,
                           np.unwrap(phi) * scale,
                           'g-.',
                           label="Phase")
            #-----------------------------------------------------------
            self.ax_p.set_ylabel(phi_str)

#------------------------------------------------------------------------------

    def calc_hf(self):
        """
        (Re-)Calculate the complex frequency response H(f)
        """

        # calculate H_cmplx(W) (complex) for W = 0 ... 2 pi:
        self.W, self.H_cmplx = calc_Hcomplex(fb.fil[0], params['N_FFT'], True)

#------------------------------------------------------------------------------

    def draw(self):
        """
        Re-calculate \|H(f)\| and draw the figure
        """
        self.chkAlign.setVisible(self.chkPhase.isChecked())
        self.calc_hf()
        self.update_view()

#------------------------------------------------------------------------------

    def update_view(self):
        """
        Draw the figure with new limits, scale etc without recalculating H(f)
        """
        # suppress "divide by zero in log10" warnings
        old_settings_seterr = np.seterr()
        np.seterr(divide='ignore')

        # Get corners for spec display from the parameters of the target specs subwidget
        try:
            param_list = fb.fil_tree[fb.fil[0]['rt']][fb.fil[0]['ft']]\
                                    [fb.fil[0]['fc']][fb.fil[0]['fo']]['tspecs'][1]['amp']
        except KeyError:
            param_list = []

        SB = [l for l in param_list if 'A_SB' in l]
        PB = [l for l in param_list if 'A_PB' in l]

        if SB:
            A_min = min([fb.fil[0][l] for l in SB])
        else:
            A_min = 5e-4

        if PB:
            A_max = max([fb.fil[0][l] for l in PB])
        else:
            A_max = 1

        if np.all(self.W) is None:  # H(f) has not been calculated yet
            self.calc_hf()

        if self.cmbUnitsA.currentText() == 'Auto':
            self.unitA = fb.fil[0]['amp_specs_unit']
        else:
            self.unitA = self.cmbUnitsA.currentText()

        # only display log bottom widget for unit dB
        self.lbl_log_bottom.setVisible(self.unitA == 'dB')
        self.led_log_bottom.setVisible(self.unitA == 'dB')
        self.lbl_log_unit.setVisible(self.unitA == 'dB')

        # Linphase settings only makes sense for amplitude plot and
        # for plottin real/imag. part of H, not its magnitude
        self.chkZerophase.setCheckable(self.unitA == 'V')
        self.chkZerophase.setEnabled(self.unitA == 'V')

        self.specs = self.chkSpecs.isChecked()

        self.f_max = fb.fil[0]['f_max']

        self.F_PB = fb.fil[0]['F_PB'] * self.f_max
        self.f_maxB = fb.fil[0]['F_SB'] * self.f_max

        self.A_PB = fb.fil[0]['A_PB']
        self.A_PB2 = fb.fil[0]['A_PB2']
        self.A_SB = fb.fil[0]['A_SB']
        self.A_SB2 = fb.fil[0]['A_SB2']

        f_lim = fb.fil[0]['freqSpecsRange']

        #========= select frequency range to be displayed =====================
        #=== shift, scale and select: W -> F, H_cplx -> H_c
        self.F = self.W / (2 * np.pi) * self.f_max

        if fb.fil[0]['freqSpecsRangeType'] == 'sym':
            # shift H and F by f_S/2
            self.H_c = np.fft.fftshift(self.H_cmplx)
            self.F -= self.f_max / 2.
        elif fb.fil[0]['freqSpecsRangeType'] == 'half':
            # only use the first half of H and F
            self.H_c = self.H_cmplx[0:params['N_FFT'] // 2]
            self.F = self.F[0:params['N_FFT'] // 2]
        else:  # fb.fil[0]['freqSpecsRangeType'] == 'whole'
            # use H and F as calculated
            self.H_c = self.H_cmplx

        # now calculate mag / real / imaginary part of H_c:
        if self.chkZerophase.isChecked():  # remove the linear phase
            self.H_c = self.H_c * np.exp(
                1j * self.W[0:len(self.F)] * fb.fil[0]["N"] / 2.)

        if self.cmbShowH.currentIndex() == 0:  # show magnitude of H
            H = abs(self.H_c)
            H_str = r'$|H(\mathrm{e}^{\mathrm{j} \Omega})|$'
        elif self.cmbShowH.currentIndex() == 1:  # show real part of H
            H = self.H_c.real
            H_str = r'$\Re \{H(\mathrm{e}^{\mathrm{j} \Omega})\}$'
        else:  # show imag. part of H
            H = self.H_c.imag
            H_str = r'$\Im \{H(\mathrm{e}^{\mathrm{j} \Omega})\}$'

        #================ Main Plotting Routine =========================
        #===  clear the axes and (re)draw the plot (if selectable)
        if self.ax.get_navigate():

            if self.unitA == 'dB':
                self.log_bottom = safe_eval(self.led_log_bottom.text(),
                                            self.log_bottom,
                                            return_type='float',
                                            sign='neg')
                self.led_log_bottom.setText(str(self.log_bottom))

                self.H_plt = np.maximum(20 * np.log10(abs(H)), self.log_bottom)
                A_lim = [self.log_bottom, 2]
                H_str += ' in dB ' + r'$\rightarrow$'
            elif self.unitA == 'V':  #  'lin'
                self.H_plt = H
                if self.cmbShowH.currentIndex(
                ) != 0:  # H can be less than zero
                    A_min = max(self.lin_neg_bottom,
                                np.nanmin(self.H_plt[np.isfinite(self.H_plt)]))
                else:
                    A_min = 0
                A_lim = [A_min, (1.05 + A_max)]
                H_str += ' in V ' + r'$\rightarrow $'
                self.ax.axhline(linewidth=1, color='k')  # horizontal line at 0
            else:  # unit is W
                A_lim = [0, (1.03 + A_max)**2.]
                self.H_plt = H * H.conj()
                H_str += ' in W ' + r'$\rightarrow $'

            #logger.debug("lim: {0}, min: {1}, max: {2} - {3}".format(A_lim, A_min, A_max, self.H_plt[0]))

            #-----------------------------------------------------------
            self.ax.clear()
            self.ax.plot(self.F, self.H_plt, label='H(f)')
            # TODO: self.draw_inset() # this gives an infinite recursion
            self.draw_phase(self.ax)
            #-----------------------------------------------------------

            #============= Set Limits and draw specs =========================
            if self.chkSpecs.isChecked():
                self.plot_spec_limits(self.ax)

            #     self.ax_bounds = [self.ax.get_ybound()[0], self.ax.get_ybound()[1]]#, self.ax.get]
            self.ax.set_xlim(f_lim)
            self.ax.set_ylim(A_lim)
            # logger.warning("set limits")

            self.ax.set_xlabel(fb.fil[0]['plt_fLabel'])
            self.ax.set_ylabel(H_str)
            if self.chkPhase.isChecked():
                self.ax.set_title(r'Magnitude and Phase Frequency Response')
            else:
                self.ax.set_title(r'Magnitude Frequency Response')
            self.ax.xaxis.set_minor_locator(
                AutoMinorLocator())  # enable minor ticks
            self.ax.yaxis.set_minor_locator(
                AutoMinorLocator())  # enable minor ticks

            np.seterr(**old_settings_seterr)

        self.redraw()

#------------------------------------------------------------------------------

    def redraw(self):
        """
        Redraw the canvas when e.g. the canvas size has changed
        """
        if hasattr(self, 'ax_p') and self.chkAlign.isChecked():
            # Align gridlines between H(f) and phi nicely
            self.align_y_axes(self.ax, self.ax_p)
        self.mplwidget.redraw()
コード例 #11
0
ファイル: freq_units.py プロジェクト: nergnixouhm9/pyfda
class FreqUnits(QWidget):
    """
    Build and update widget for entering the frequency units
    
    The following key-value pairs of the `fb.fil[0]` dict are modified:

        - `'freq_specs_unit'` : The unit ('k', 'f_S', 'f_Ny', 'Hz' etc.) as a string
        - `'freqSpecsRange'` : A list with two entries for minimum and maximum frequency
                               values for labelling the frequency axis
        - `'f_S'` : The sampling frequency for referring frequency values to as a float
        - `'f_max'` : maximum frequency for scaling frequency axis              
        - `'plt_fUnit'`: frequency unit as string
        - `'plt_tUnit'`: time unit as string
        - `'plt_fLabel'`: label for frequency axis
        - `'plt_tLabel'`: label for time axis

    """

    # class variables (shared between instances if more than one exists)
    sig_tx = pyqtSignal(object)  # outgoing

    def __init__(self, parent, title="Frequency Units"):

        super(FreqUnits, self).__init__(parent)
        self.title = title
        self.spec_edited = False  # flag whether QLineEdit field has been edited

        self._construct_UI()

    def _construct_UI(self):
        """
        Construct the User Interface
        """
        self.layVMain = QVBoxLayout()  # Widget main layout

        f_units = ['k', 'f_S', 'f_Ny', 'Hz', 'kHz', 'MHz', 'GHz']
        self.t_units = ['', '', '', 's', 'ms', r'$\mu$s', 'ns']

        bfont = QFont()
        bfont.setBold(True)

        self.lblUnits = QLabel(self)
        self.lblUnits.setText("Freq. Unit:")
        self.lblUnits.setFont(bfont)

        self.fs_old = fb.fil[0]['f_S']  # store current sampling frequency
        self.ledF_S = QLineEdit()
        self.ledF_S.setText(str(fb.fil[0]["f_S"]))
        self.ledF_S.setObjectName("f_S")
        self.ledF_S.installEventFilter(self)  # filter events

        self.lblF_S = QLabel(self)
        self.lblF_S.setText(to_html("f_S", frmt='bi'))

        self.cmbUnits = QComboBox(self)
        self.cmbUnits.setObjectName("cmbUnits")
        self.cmbUnits.addItems(f_units)
        self.cmbUnits.setToolTip(
            'Select whether frequencies are specified w.r.t. \n'
            'the sampling frequency "f_S", to the Nyquist frequency \n'
            'f_Ny = f_S/2 or as absolute values. "k" specifies frequencies w.r.t. f_S '
            'but plots graphs over the frequency index k.')
        self.cmbUnits.setCurrentIndex(1)
        #        self.cmbUnits.setItemData(0, (0,QColor("#FF333D"),Qt.BackgroundColorRole))#
        #        self.cmbUnits.setItemData(0, (QFont('Verdana', bold=True), Qt.FontRole)

        fRanges = [("0...½", "half"), ("0...1", "whole"), ("-½...½", "sym")]
        self.cmbFRange = QComboBox(self)
        self.cmbFRange.setObjectName("cmbFRange")
        for f in fRanges:
            self.cmbFRange.addItem(f[0], f[1])
        self.cmbFRange.setToolTip("Select frequency range (whole or half).")
        self.cmbFRange.setCurrentIndex(0)

        # Combobox resizes with longest entry
        self.cmbUnits.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbFRange.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.butSort = QToolButton(self)
        self.butSort.setText("Sort")
        self.butSort.setCheckable(True)
        self.butSort.setChecked(True)
        self.butSort.setToolTip(
            "Sort frequencies in ascending order when pushed.")
        self.butSort.setStyleSheet("QToolButton:checked {font-weight:bold}")

        self.layHUnits = QHBoxLayout()
        self.layHUnits.addWidget(self.cmbUnits)
        self.layHUnits.addWidget(self.cmbFRange)
        self.layHUnits.addWidget(self.butSort)

        # Create a gridLayout consisting of QLabel and QLineEdit fields
        # for setting f_S, the units and the actual frequency specs:
        self.layGSpecWdg = QGridLayout()  # sublayout for spec fields
        self.layGSpecWdg.addWidget(self.lblF_S, 1, 0)
        self.layGSpecWdg.addWidget(self.ledF_S, 1, 1)
        self.layGSpecWdg.addWidget(self.lblUnits, 0, 0)
        self.layGSpecWdg.addLayout(self.layHUnits, 0, 1)

        frmMain = QFrame(self)
        frmMain.setLayout(self.layGSpecWdg)

        self.layVMain.addWidget(frmMain)
        self.layVMain.setContentsMargins(*params['wdg_margins'])

        self.setLayout(self.layVMain)

        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.cmbUnits.currentIndexChanged.connect(self.update_UI)
        self.cmbFRange.currentIndexChanged.connect(self._freq_range)
        self.butSort.clicked.connect(self._store_sort_flag)
        #----------------------------------------------------------------------

        self.update_UI()  # first-time initialization

#-------------------------------------------------------------

    def update_UI(self):
        """
        Transform the displayed frequency spec input fields according to the units
        setting. Spec entries are always stored normalized w.r.t. f_S in the
        dictionary; when f_S or the unit are changed, only the displayed values
        of the frequency entries are updated, not the dictionary!
        Signals are blocked before changing the value for f_S programmatically

        update_UI is called
        - during init
        - when the unit combobox is changed

        Finally, store freqSpecsRange and emit 'view_changed' signal via _freq_range
        """
        idx = self.cmbUnits.currentIndex()  # read index of units combobox
        f_unit = str(self.cmbUnits.currentText())  # and the label

        self.ledF_S.setVisible(f_unit not in {"f_S", "f_Ny",
                                              "k"})  # only vis. when
        self.lblF_S.setVisible(f_unit not in {"f_S", "f_Ny",
                                              "k"})  # not normalized
        f_S_scale = 1  # default setting for f_S scale

        if f_unit in {"f_S", "f_Ny", "k"}:  # normalized frequency
            self.fs_old = fb.fil[0]['f_S']  # store current sampling frequency

            if f_unit == "f_S":  # normalized to f_S
                fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 1.
                f_label = r"$F = f\, /\, f_S = \Omega \, /\,  2 \mathrm{\pi} \; \rightarrow$"
            elif f_unit == "f_Ny":  # idx == 1: normalized to f_nyq = f_S / 2
                fb.fil[0]['f_S'] = fb.fil[0]['f_max'] = 2.
                f_label = r"$F = 2f \, / \, f_S = \Omega \, / \, \mathrm{\pi} \; \rightarrow$"
            else:
                fb.fil[0]['f_S'] = 1
                fb.fil[0]['f_max'] = params['N_FFT']
                f_label = r"$k \; \rightarrow$"
            t_label = r"$n \; \rightarrow$"

            self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))

        else:  # Hz, kHz, ...
            if fb.fil[0]['freq_specs_unit'] in {"f_S", "f_Ny",
                                                "k"}:  # previous setting
                fb.fil[0]['f_S'] = fb.fil[0][
                    'f_max'] = self.fs_old  # restore prev. sampling frequency
                self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))

            if f_unit == "Hz":
                f_S_scale = 1.
            elif f_unit == "kHz":
                f_S_scale = 1.e3
            elif f_unit == "MHz":
                f_S_scale = 1.e6
            elif f_unit == "GHz":
                f_S_scale = 1.e9
            else:
                logger.warning("Unknown frequency unit {0}".format(f_unit))

            f_label = r"$f$ in " + f_unit + r"$\; \rightarrow$"
            t_label = r"$t$ in " + self.t_units[idx] + r"$\; \rightarrow$"

        if f_unit == "k":
            plt_f_unit = "f_S"
        else:
            plt_f_unit = f_unit
        fb.fil[0].update({'f_S_scale': f_S_scale})  # scale factor for f_S
        fb.fil[0].update({'freq_specs_unit': f_unit})  # frequency unit
        fb.fil[0].update({"plt_fLabel": f_label})  # label for freq. axis
        fb.fil[0].update({"plt_tLabel": t_label})  # label for time axis
        fb.fil[0].update({"plt_fUnit": plt_f_unit})  # frequency unit as string
        fb.fil[0].update({"plt_tUnit":
                          self.t_units[idx]})  # time unit as string

        self._freq_range(
        )  # update f_lim setting and emit sigUnitChanged signal

#------------------------------------------------------------------------------

    def eventFilter(self, source, event):
        """
        Filter all events generated by the QLineEdit widgets. Source and type
        of all events generated by monitored objects are passed to this eventFilter,
        evaluated and passed on to the next hierarchy level.

        - When a QLineEdit widget gains input focus (QEvent.FocusIn`), display
          the stored value from filter dict with full precision
        - When a key is pressed inside the text field, set the `spec_edited` flag
          to True.
        - When a QLineEdit widget loses input focus (QEvent.FocusOut`), store
          current value with full precision (only if `spec_edited`== True) and
          display the stored value in selected format. Emit 'view_changed':'f_S'
        """
        def _store_entry():
            """
            Update filter dictionary, set line edit entry with reduced precision
            again.
            """
            if self.spec_edited:
                fb.fil[0].update({
                    'f_S':
                    safe_eval(source.text(), fb.fil[0]['f_S'], sign='pos')
                })
                # TODO: ?!
                self._freq_range(emit_sig_range=False)  # update plotting range
                self.sig_tx.emit({'sender': __name__, 'view_changed': 'f_S'})
                self.spec_edited = False  # reset flag, changed entry has been saved

        if source.objectName() == 'f_S':
            if event.type() == QEvent.FocusIn:
                self.spec_edited = False
                source.setText(str(fb.fil[0]['f_S']))  # full precision
            elif event.type() == QEvent.KeyPress:
                self.spec_edited = True  # entry has been changed
                key = event.key()
                if key in {QtCore.Qt.Key_Return, QtCore.Qt.Key_Enter}:
                    _store_entry()
                elif key == QtCore.Qt.Key_Escape:  # revert changes
                    self.spec_edited = False
                    source.setText(str(fb.fil[0]['f_S']))  # full precision

            elif event.type() == QEvent.FocusOut:
                _store_entry()
                source.setText(params['FMT'].format(
                    fb.fil[0]['f_S']))  # reduced precision
        # Call base class method to continue normal event processing:
        return super(FreqUnits, self).eventFilter(source, event)

    #-------------------------------------------------------------
    def _freq_range(self, emit_sig_range=True):
        """
        Set frequency plotting range for single-sided spectrum up to f_S/2 or f_S
        or for double-sided spectrum between -f_S/2 and f_S/2 and emit
        'view_changed':'f_range'.
        """
        rangeType = qget_cmb_box(self.cmbFRange)

        fb.fil[0].update({'freqSpecsRangeType': rangeType})
        f_max = fb.fil[0]["f_max"]

        if rangeType == 'whole':
            f_lim = [0, f_max]
        elif rangeType == 'sym':
            f_lim = [-f_max / 2., f_max / 2.]
        else:
            f_lim = [0, f_max / 2.]

        fb.fil[0]['freqSpecsRange'] = f_lim  # store settings in dict

        self.sig_tx.emit({'sender': __name__, 'view_changed': 'f_range'})

    #-------------------------------------------------------------
    def load_dict(self):
        """
        Reload comboBox settings and textfields from filter dictionary
        Block signals during update of combobox / lineedit widgets
        """
        self.ledF_S.setText(params['FMT'].format(fb.fil[0]['f_S']))

        self.cmbUnits.blockSignals(True)
        idx = self.cmbUnits.findText(
            fb.fil[0]['freq_specs_unit'])  # get and set
        self.cmbUnits.setCurrentIndex(idx)  # index for freq. unit combo box
        self.cmbUnits.blockSignals(False)

        self.cmbFRange.blockSignals(True)
        idx = self.cmbFRange.findData(fb.fil[0]['freqSpecsRangeType'])
        self.cmbFRange.setCurrentIndex(idx)  # set frequency range
        self.cmbFRange.blockSignals(False)

        self.butSort.blockSignals(True)
        self.butSort.setChecked(fb.fil[0]['freq_specs_sort'])
        self.butSort.blockSignals(False)

#-------------------------------------------------------------

    def _store_sort_flag(self):
        """
        Store sort flag in filter dict and emit 'specs_changed':'f_sort'
        when sort button is checked.
        """
        fb.fil[0]['freq_specs_sort'] = self.butSort.isChecked()
        if self.butSort.isChecked():
            self.sig_tx.emit({'sender': __name__, 'specs_changed': 'f_sort'})
コード例 #12
0
ファイル: input_pz_ui.py プロジェクト: zstechly/pyfda
class Input_PZ_UI(QWidget):
    """
    Create the UI for the FilterPZ class
    """

    sig_rx = pyqtSignal(object) # incoming
    sig_tx = pyqtSignal(object) # outgoing

    def __init__(self, parent):
        """
        Pass instance `parent` of parent class (FilterCoeffs)
        """
        super(Input_PZ_UI, self).__init__(parent)
#        self.parent = parent # instance of the parent (not the base) class
        self.eps = 1.e-4 # # tolerance value for e.g. setting P/Z to zero
        self._construct_UI()

#------------------------------------------------------------------------------
    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from the CSV pop-up window
        """

        logger.debug("PROCESS_SIG_RX\n{0}".format(pprint_log(dict_sig)))
        
        if 'closeEvent' in dict_sig:
            self._close_csv_win()
            self.sig_tx.emit({'sender':__name__, 'ui_changed': 'csv'})
            return # probably not needed
        elif 'ui_changed' in dict_sig:
            self._set_load_save_icons() # update icons file <-> clipboard
            # inform e.g. the p/z input widget about changes in CSV options 
            self.sig_tx.emit({'sender':__name__, 'ui_changed': 'csv'})

#------------------------------------------------------------------------------
    def _construct_UI(self):        
        """
        Intitialize the widget, consisting of:
        - top chkbox row
        - coefficient table
        - two bottom rows with action buttons
        """
        
        self.bfont = QFont()
        self.bfont.setBold(True)
        self.bifont = QFont()
        self.bifont.setBold(True)
        self.bifont.setItalic(True)
#        q_icon_size = QSize(20, 20) # optional, size is derived from butEnable

        # ---------------------------------------------
        # UI Elements for controlling the display
        # ---------------------------------------------
        
        self.butEnable = QPushButton(self)
        self.butEnable.setIcon(QIcon(':/circle-x.svg'))
        q_icon_size = self.butEnable.iconSize() # <- set this for manual icon sizing
        self.butEnable.setIconSize(q_icon_size)
        self.butEnable.setCheckable(True)
        self.butEnable.setChecked(True)
        self.butEnable.setToolTip("<span>Show / hide poles and zeros in an editable table."
                " For high order systems, the table display might be slow.</span>")

        self.cmbPZFrmt = QComboBox(self)
        pz_formats = [('Cartesian', 'cartesian'), ('Polar (rad)', 'polar_rad'),
                      ('Polar (pi)', 'polar_pi'), ('Polar (°)', 'polar_deg')] # display text, data
        # π: u'3C0, °: u'B0, ∠: u'2220
        for pz in pz_formats:
            self.cmbPZFrmt.addItem(*pz)
        self.cmbPZFrmt.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        # self.cmbPZFrmt.setEnabled(False)
        self.cmbPZFrmt.setToolTip("<span>Set display format for poles and zeros to"
                                  " either cartesian (x + jy) or polar (r * &ang; &Omega;)."
                                  " Type 'o' for '&deg;', '&lt;' for '&ang;' and 'pi' for '&pi;'.</span>")

        self.spnDigits = QSpinBox(self)
        self.spnDigits.setRange(0,16)
        self.spnDigits.setToolTip("Number of digits to display.")
        self.lblDigits = QLabel("Digits", self)
        self.lblDigits.setFont(self.bifont)
        
        self.cmbCausal = QComboBox(self)
        causal_types = ['Causal', 'Acausal', 'Anticausal']
        for cs in causal_types:
            self.cmbCausal.addItem(cs)

        qset_cmb_box(self.cmbCausal, 'Causal')
        self.cmbCausal.setToolTip('<span>Set the system type. Not implemented yet.</span>')
        self.cmbCausal.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbCausal.setEnabled(False)
            
        layHDisplay = QHBoxLayout()
        layHDisplay.setAlignment(Qt.AlignLeft)
        layHDisplay.addWidget(self.butEnable)
        layHDisplay.addWidget(self.cmbPZFrmt)
        layHDisplay.addWidget(self.spnDigits)
        layHDisplay.addWidget(self.lblDigits)
        layHDisplay.addWidget(self.cmbCausal)
        layHDisplay.addStretch()

        # ---------------------------------------------
        # UI Elements for setting the gain
        # ---------------------------------------------
        self.lblNorm = QLabel(to_html("Normalize:", frmt='bi'), self)
        self.cmbNorm = QComboBox(self)
        self.cmbNorm.addItems(["None", "1", "Max"])
        self.cmbNorm.setToolTip("<span>Set the gain <i>k</i> so that H(f)<sub>max</sub> is "
                                "either 1 or the max. of the previous system.</span>")

        self.lblGain = QLabel(to_html("k =", frmt='bi'), self)
        self.ledGain = QLineEdit(self)
        self.ledGain.setToolTip("<span>Specify gain factor <i>k</i>"
                                " (only possible for Normalize = 'None').</span>")
        self.ledGain.setText(str(1.))
        self.ledGain.setObjectName("ledGain")
        
        layHGain = QHBoxLayout()
        layHGain.addWidget(self.lblNorm)
        layHGain.addWidget(self.cmbNorm)
        layHGain.addWidget(self.lblGain)
        layHGain.addWidget(self.ledGain)
        layHGain.addStretch()

        # ---------------------------------------------
        # UI Elements for loading / storing / manipulating cells and rows
        # ---------------------------------------------

#        self.cmbFilterType = QComboBox(self)
#        self.cmbFilterType.setObjectName("comboFilterType")
#        self.cmbFilterType.setToolTip("Select between IIR and FIR filte for manual entry.")
#        self.cmbFilterType.addItems(["FIR","IIR"])
#        self.cmbFilterType.setSizeAdjustPolicy(QComboBox.AdjustToContents)


        self.butAddCells = QPushButton(self)
        self.butAddCells.setIcon(QIcon(':/row_insert_above.svg'))
        self.butAddCells.setIconSize(q_icon_size)
        self.butAddCells.setToolTip("<SPAN>Select cells to insert a new cell above each selected cell. "
                                "Use &lt;SHIFT&gt; or &lt;CTRL&gt; to select multiple cells. "
                                "When nothing is selected, add a row at the end.</SPAN>")

        self.butDelCells = QPushButton(self)
        self.butDelCells.setIcon(QIcon(':/row_delete.svg'))
        self.butDelCells.setIconSize(q_icon_size)
        self.butDelCells.setToolTip("<SPAN>Delete selected cell(s) from the table. "
                "Use &lt;SHIFT&gt; or &lt;CTRL&gt; to select multiple cells. "
                "When nothing is selected, delete the last row.</SPAN>")

        self.butSave = QPushButton(self)
        self.butSave.setIcon(QIcon(':/upload.svg'))
        self.butSave.setIconSize(q_icon_size)
        self.butSave.setToolTip("<span>Copy P/Z table to filter dict and update all plots and widgets.</span>")

        self.butLoad = QPushButton(self)
        self.butLoad.setIcon(QIcon(':/download.svg'))
        self.butLoad.setIconSize(q_icon_size)
        self.butLoad.setToolTip("Reload P/Z table from filter dict.")

        self.butClear = QPushButton(self)
        self.butClear.setIcon(QIcon(':/trash.svg'))
        self.butClear.setIconSize(q_icon_size)
        self.butClear.setToolTip("Clear all table entries.")


        self.butFromTable = QPushButton(self)
        self.butFromTable.setIconSize(q_icon_size)
        
        self.butToTable = QPushButton(self)
        self.butToTable.setIconSize(q_icon_size)

        self.but_csv_options = QPushButton(self)
        self.but_csv_options.setIcon(QIcon(':/settings.svg'))
        self.but_csv_options.setIconSize(q_icon_size)
        self.but_csv_options.setToolTip("<span>Select CSV format and whether "
                                "to copy to/from clipboard or file.</span>")
        self.but_csv_options.setCheckable(True)
        self.but_csv_options.setChecked(False)
        
        self._set_load_save_icons() # initialize icon / button settings

        layHButtonsCoeffs1 = QHBoxLayout()
#        layHButtonsCoeffs1.addWidget(self.cmbFilterType)
        layHButtonsCoeffs1.addWidget(self.butAddCells)
        layHButtonsCoeffs1.addWidget(self.butDelCells)
        layHButtonsCoeffs1.addWidget(self.butClear)
        layHButtonsCoeffs1.addWidget(self.butSave)
        layHButtonsCoeffs1.addWidget(self.butLoad)
        layHButtonsCoeffs1.addWidget(self.butFromTable)
        layHButtonsCoeffs1.addWidget(self.butToTable)
        layHButtonsCoeffs1.addWidget(self.but_csv_options)
        layHButtonsCoeffs1.addStretch()

        #-------------------------------------------------------------------
        #   Eps / set zero settings
        # ---------------------------------------------------------------------
        self.butSetZero = QPushButton("= 0", self)
        self.butSetZero.setToolTip("<span>Set selected poles / zeros = 0 with a magnitude &lt; &epsilon;. "
        "When nothing is selected, test the whole table.</span>")
        self.butSetZero.setIconSize(q_icon_size)

        lblEps = QLabel(self)
        lblEps.setText("<b><i>for &epsilon;</i> &lt;</b>")

        self.ledEps = QLineEdit(self)
        self.ledEps.setToolTip("Specify tolerance value.")

        layHButtonsCoeffs2 = QHBoxLayout()
        layHButtonsCoeffs2.addWidget(self.butSetZero)
        layHButtonsCoeffs2.addWidget(lblEps)
        layHButtonsCoeffs2.addWidget(self.ledEps)
        layHButtonsCoeffs2.addStretch()

        # ########################  Main UI Layout ############################
        # layout for frame (UI widget)
        layVMainF = QVBoxLayout()
        layVMainF.addLayout(layHDisplay)
        layVMainF.addLayout(layHGain)
        layVMainF.addLayout(layHButtonsCoeffs1)
        layVMainF.addLayout(layHButtonsCoeffs2)
        # This frame encompasses all UI elements
        frmMain = QFrame(self)
        frmMain.setLayout(layVMainF)

        layVMain = QVBoxLayout()
        layVMain.setAlignment(Qt.AlignTop) # this affects only the first widget (intended here)
        layVMain.addWidget(frmMain)
        layVMain.setContentsMargins(*params['wdg_margins'])
        self.setLayout(layVMain)
        
        #--- set initial values from dict ------------
        self.spnDigits.setValue(params['FMT_pz'])
        self.ledEps.setText(str(self.eps))
        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------        
        self.but_csv_options.clicked.connect(self._open_csv_win)
                
    #------------------------------------------------------------------------------
    def _open_csv_win(self):
        """
        Pop-up window for CSV options
        """        
        if self.but_csv_options.isChecked():
            qstyle_widget(self.but_csv_options, "changed")
        else:
            qstyle_widget(self.but_csv_options, "normal")

        if dirs.csv_options_handle is None: # no handle to the window? Create a new instance
            if self.but_csv_options.isChecked():
                # Important: Handle to window must be class attribute otherwise it
                # (and the attached window) is deleted immediately when it goes out of scope
                dirs.csv_options_handle = CSV_option_box(self)
                dirs.csv_options_handle.sig_tx.connect(self.process_sig_rx)
                dirs.csv_options_handle.show() # modeless i.e. non-blocking popup window
        else:
            if not self.but_csv_options.isChecked(): # this should not happen
                if dirs.csv_options_handle is None:
                    logger.warning("CSV options window is already closed!")
                else:
                    dirs.csv_options_handle.close()
                    
        self.sig_tx.emit({'sender':__name__, 'ui_changed': 'csv'})

    #------------------------------------------------------------------------------
    def _close_csv_win(self):
        dirs.csv_options_handle = None
        self.but_csv_options.setChecked(False)
        qstyle_widget(self.but_csv_options, "normal")


        
    #------------------------------------------------------------------------------
    def _set_load_save_icons(self):
        """
        Set icons / tooltipps for loading and saving data to / from file or
        clipboard depending on selected options.
        """
        if params['CSV']['clipboard']:
            self.butFromTable.setIcon(QIcon(':/to_clipboard.svg'))
            self.butFromTable.setToolTip("<span>"
                    "Copy table to clipboard, SELECTED items are copied as "
                    "displayed. When nothing is selected, the whole table "
                    "is copied with full precision in decimal format.</span>")

            self.butToTable.setIcon(QIcon(':/from_clipboard.svg'))
            self.butToTable.setToolTip("<span>Copy clipboard to table.</span>")
        else:
            self.butFromTable.setIcon(QIcon(':/save.svg'))
            self.butFromTable.setToolTip("<span>"
                    "Save table to file, SELECTED items are copied as "
                    "displayed. When nothing is selected, the whole table "
                    "is copied with full precision in decimal format.</span>")

            self.butToTable.setIcon(QIcon(':/file.svg'))
            self.butToTable.setToolTip("<span>Load table from file.</span>")            

        if dirs.csv_options_handle is None:
            qstyle_widget(self.but_csv_options, "normal")
            self.but_csv_options.setChecked(False)
        else:
            qstyle_widget(self.but_csv_options, "changed")
            self.but_csv_options.setChecked(True)
コード例 #13
0
class SelectFilter(QWidget):
    """
    Construct and read combo boxes for selecting the filter, consisting of the
    following hierarchy:

    1. Response Type rt (LP, HP, Hilbert, ...)
    2. Filter Type ft (IIR, FIR, CIC ...)
    3. Filter Class (Butterworth, ...)

    Every time a combo box is changed manually, the filter tree for the selected
    response resp. filter type is read and the combo box(es) further down in
    the hierarchy are populated according to the available combinations.

    sig_tx({'filt_changed'}) is emitted and propagated to input_filter_specs.py
    where it triggers the recreation of all subwidgets.
    """
    sig_tx = pyqtSignal(object)  # outgoing
    from pyfda.libs.pyfda_qt_lib import emit

    def __init__(self, parent=None):
        super(SelectFilter, self).__init__(parent)

        self.fc_last = ''  # previous filter class

        self._construct_UI()

        self._set_response_type()  # first time initialization

    def _construct_UI(self):
        """
        Construct UI with comboboxes for selecting filter:

        - cmbResponseType for selecting response type rt (LP, HP, ...)

        - cmbFilterType for selection of filter type (IIR, FIR, ...)

        - cmbFilterClass for selection of design design class (Chebyshev, ...)

        and populate them from the "filterTree" dict during the initial run.
        Later, calling _set_response_type() updates the three combo boxes.

        See filterbroker.py for structure and content of "filterTree" dict

        """
        # ----------------------------------------------------------------------
        # Combo boxes for filter selection
        # ----------------------------------------------------------------------
        self.cmbResponseType = QComboBox(self)
        self.cmbResponseType.setObjectName("comboResponseType")
        self.cmbResponseType.setToolTip("Select filter response type.")
        self.cmbFilterType = QComboBox(self)
        self.cmbFilterType.setObjectName("comboFilterType")
        self.cmbFilterType.setToolTip(
            "<span>Choose filter type, either recursive (Infinite Impulse Response) "
            "or transversal (Finite Impulse Response).</span>")
        self.cmbFilterClass = QComboBox(self)
        self.cmbFilterClass.setObjectName("comboFilterClass")
        self.cmbFilterClass.setToolTip("Select the filter design class.")

        # Adapt comboboxes size dynamically to largest element
        self.cmbResponseType.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbFilterType.setSizeAdjustPolicy(QComboBox.AdjustToContents)
        self.cmbFilterClass.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        # ----------------------------------------------------------------------
        # Populate combo box with initial settings from fb.fil_tree
        # ----------------------------------------------------------------------
        # Translate short response type ("LP") to displayed names ("Lowpass")
        # (correspondence is defined in pyfda_rc.py) and populate rt combo box
        #
        rt_list = sorted(list(fb.fil_tree.keys()))

        for rt in rt_list:
            try:
                self.cmbResponseType.addItem(rc.rt_names[rt], rt)
            except KeyError as e:
                logger.warning(
                    f"KeyError: {e} has no corresponding full name in rc.rt_names."
                )
        idx = self.cmbResponseType.findData('LP')  # find index for 'LP'

        if idx == -1:  # Key 'LP' does not exist, use first entry instead
            idx = 0

        self.cmbResponseType.setCurrentIndex(idx)  # set initial index
        rt = qget_cmb_box(self.cmbResponseType)

        for ft in fb.fil_tree[rt]:
            self.cmbFilterType.addItem(rc.ft_names[ft], ft)
        self.cmbFilterType.setCurrentIndex(0)  # set initial index
        ft = qget_cmb_box(self.cmbFilterType)

        for fc in fb.fil_tree[rt][ft]:
            self.cmbFilterClass.addItem(fb.filter_classes[fc]['name'], fc)
        self.cmbFilterClass.setCurrentIndex(0)  # set initial index

        # ----------------------------------------------------------------------
        # Layout for Filter Type Subwidgets
        # ----------------------------------------------------------------------

        layHFilWdg = QHBoxLayout()  # container for filter subwidgets
        layHFilWdg.addWidget(self.cmbResponseType)  # LP, HP, BP, etc.
        layHFilWdg.addStretch()
        layHFilWdg.addWidget(self.cmbFilterType)  # FIR, IIR
        layHFilWdg.addStretch()
        layHFilWdg.addWidget(self.cmbFilterClass)  # bessel, elliptic, etc.

        # ----------------------------------------------------------------------
        # Layout for dynamic filter subwidgets (empty frame)
        # ----------------------------------------------------------------------
        # see Summerfield p. 278
        self.layHDynWdg = QHBoxLayout()  # for additional dynamic subwidgets

        # ----------------------------------------------------------------------
        # Filter Order Subwidgets
        # ----------------------------------------------------------------------
        self.lblOrder = QLabel("<b>Order:</b>")
        self.chkMinOrder = QCheckBox("Minimum", self)
        self.chkMinOrder.setToolTip(
            "<span>Minimum filter order / # of taps is determined automatically.</span>"
        )
        self.lblOrderN = QLabel("<b><i>N =</i></b>")
        self.ledOrderN = QLineEdit(str(fb.fil[0]['N']), self)
        self.ledOrderN.setToolTip("Filter order (# of taps - 1).")

        # --------------------------------------------------
        #  Layout for filter order subwidgets
        # --------------------------------------------------
        layHOrdWdg = QHBoxLayout()
        layHOrdWdg.addWidget(self.lblOrder)
        layHOrdWdg.addWidget(self.chkMinOrder)
        layHOrdWdg.addStretch()
        layHOrdWdg.addWidget(self.lblOrderN)
        layHOrdWdg.addWidget(self.ledOrderN)

        # ----------------------------------------------------------------------
        # OVERALL LAYOUT (stack standard + dynamic subwidgets vertically)
        # ----------------------------------------------------------------------
        self.layVAllWdg = QVBoxLayout()
        self.layVAllWdg.addLayout(layHFilWdg)
        self.layVAllWdg.addLayout(self.layHDynWdg)
        self.layVAllWdg.addLayout(layHOrdWdg)

        # ==============================================================================
        frmMain = QFrame(self)
        frmMain.setLayout(self.layVAllWdg)

        layHMain = QHBoxLayout()
        layHMain.addWidget(frmMain)
        layHMain.setContentsMargins(*rc.params['wdg_margins'])

        self.setLayout(layHMain)

        # ==============================================================================

        # ------------------------------------------------------------
        # SIGNALS & SLOTS
        # ------------------------------------------------------------
        # Connect comboBoxes and setters, propgate change events hierarchically
        #  through all widget methods and emit 'filt_changed' in the end.
        self.cmbResponseType.currentIndexChanged.connect(
            lambda: self._set_response_type(enb_signal=True))  # 'LP'
        self.cmbFilterType.currentIndexChanged.connect(
            lambda: self._set_filter_type(enb_signal=True))  # 'IIR'
        self.cmbFilterClass.currentIndexChanged.connect(
            lambda: self._set_design_method(enb_signal=True))  # 'cheby1'
        self.chkMinOrder.clicked.connect(
            lambda: self._set_filter_order(enb_signal=True))  # Min. Order
        self.ledOrderN.editingFinished.connect(
            lambda: self._set_filter_order(enb_signal=True))  # Manual Order
        # ------------------------------------------------------------

# ------------------------------------------------------------------------------

    def load_dict(self):
        """
        Reload comboboxes from filter dictionary to update changed settings
        after loading a filter design from disk.
        `load_dict` uses the automatism of _set_response_type etc.
        of checking whether the previously selected filter design method is
        also available for the new combination.
        """
        # find index for response type:
        rt_idx = self.cmbResponseType.findData(fb.fil[0]['rt'])
        self.cmbResponseType.setCurrentIndex(rt_idx)
        self._set_response_type()

# ------------------------------------------------------------------------------

    def _set_response_type(self, enb_signal=False):
        """
        Triggered when cmbResponseType (LP, HP, ...) is changed:
        Copy selection to self.rt and fb.fil[0] and reconstruct filter type combo

        If previous filter type (FIR, IIR, ...) exists for new rt, set the
        filter type combo box to the old setting
        """
        # Read current setting of comboBox as string and store it in the filter dict
        fb.fil[0]['rt'] = self.rt = qget_cmb_box(self.cmbResponseType)

        # Get list of available filter types for new rt
        ft_list = list(
            fb.fil_tree[self.rt].keys())  # explicit list() needed for Py3
        # ---------------------------------------------------------------
        # Rebuild filter type combobox entries for new rt setting
        self.cmbFilterType.blockSignals(
            True)  # don't fire when changed programmatically
        self.cmbFilterType.clear()
        for ft in fb.fil_tree[self.rt]:
            self.cmbFilterType.addItem(rc.ft_names[ft], ft)

        # Is current filter type (e.g. IIR) in list for new rt?
        if fb.fil[0]['ft'] in ft_list:
            ft_idx = self.cmbFilterType.findText(fb.fil[0]['ft'])
            self.cmbFilterType.setCurrentIndex(
                ft_idx)  # yes, set same ft as before
        else:
            self.cmbFilterType.setCurrentIndex(0)  # no, set index 0

        self.cmbFilterType.blockSignals(False)
        # ---------------------------------------------------------------

        self._set_filter_type(enb_signal)

# ------------------------------------------------------------------------------

    def _set_filter_type(self, enb_signal=False):
        """"
        Triggered when cmbFilterType (IIR, FIR, ...) is changed:
        - read filter type ft and copy it to fb.fil[0]['ft'] and self.ft
        - (re)construct design method combo, adding
          displayed text (e.g. "Chebyshev 1") and hidden data (e.g. "cheby1")
        """
        # Read out current setting of comboBox and convert to string
        fb.fil[0]['ft'] = self.ft = qget_cmb_box(self.cmbFilterType)
        #
        logger.debug("InputFilter.set_filter_type triggered: {0}".format(
            self.ft))

        # ---------------------------------------------------------------
        # Get all available design methods for new ft from fil_tree and
        # - Collect them in fc_list
        # - Rebuild design method combobox entries for new ft setting:
        #    The combobox is populated with the "long name",
        #    the internal name is stored in comboBox.itemData
        self.cmbFilterClass.blockSignals(True)
        self.cmbFilterClass.clear()
        fc_list = []

        for fc in sorted(fb.fil_tree[self.rt][self.ft]):
            self.cmbFilterClass.addItem(fb.filter_classes[fc]['name'], fc)
            fc_list.append(fc)

        logger.debug("fc_list: {0}\n{1}".format(fc_list, fb.fil[0]['fc']))

        # Does new ft also provide the previous design method (e.g. ellip)?
        # Has filter been instantiated?
        if fb.fil[0]['fc'] in fc_list and ff.fil_inst:
            # yes, set same fc as before
            fc_idx = self.cmbFilterClass.findText(
                fb.filter_classes[fb.fil[0]['fc']]['name'])
            logger.debug("fc_idx : %s", fc_idx)
            self.cmbFilterClass.setCurrentIndex(fc_idx)
        else:
            self.cmbFilterClass.setCurrentIndex(0)  # no, set index 0

        self.cmbFilterClass.blockSignals(False)

        self._set_design_method(enb_signal)

# ------------------------------------------------------------------------------

    def _set_design_method(self, enb_signal=False):
        """
        Triggered when cmbFilterClass (cheby1, ...) is changed:
        - read design method fc and copy it to fb.fil[0]
        - create / update global filter instance fb.fil_inst of fc class
        - update dynamic widgets (if fc has changed and if there are any)
        - call load filter order
        """
        fb.fil[0]['fc'] = fc = qget_cmb_box(self.cmbFilterClass)

        if fc != self.fc_last:  # fc has changed:

            # when filter has been changed, try to destroy dynamic widgets of last fc:
            if self.fc_last:
                self._destruct_dyn_widgets()

            # ==================================================================
            """
            Create new instance of the selected filter class, accessible via
            its handle fb.fil_inst
            """
            err = ff.fil_factory.create_fil_inst(fc)
            logger.debug(f"InputFilter.set_design_method triggered: {fc}\n"
                         f"Returned error code {err}")
            # ==================================================================

            # Check whether new design method also provides the old filter order
            # method. If yes, don't change it, else set first available
            # filter order method
            if fb.fil[0]['fo'] not in fb.fil_tree[self.rt][self.ft][fc].keys():
                fb.fil[0].update({'fo': {}})
                # explicit list(dict.keys()) needed for Python 3
                fb.fil[0]['fo'] = list(
                    fb.fil_tree[self.rt][self.ft][fc].keys())[0]

# =============================================================================
#             logger.debug("selFilter = %s"
#                    "filterTree[fc] = %s"
#                    "filterTree[fc].keys() = %s"
#                   %(fb.fil[0], fb.fil_tree[self.rt][self.ft][fc],\
#                     fb.fil_tree[self.rt][self.ft][fc].keys()
#                     ))
#
# =============================================================================
# construct dyn. subwidgets if available
            if hasattr(ff.fil_inst, 'construct_UI'):
                self._construct_dyn_widgets()

            self.fc_last = fb.fil[0]['fc']

        self.load_filter_order(enb_signal)

# ------------------------------------------------------------------------------

    def load_filter_order(self, enb_signal=False):
        """
        Called by set_design_method or from InputSpecs (with enb_signal = False),
          load filter order setting from fb.fil[0] and update widgets

        """
        # collect dict_keys of available filter order [fo] methods for selected
        # design method [fc] from fil_tree (explicit list() needed for Python 3)
        fo_dict = fb.fil_tree[fb.fil[0]['rt']][fb.fil[0]['ft']][fb.fil[0]
                                                                ['fc']]
        fo_list = list(fo_dict.keys())

        # is currently selected fo setting available for (new) fc ?
        if fb.fil[0]['fo'] in fo_list:
            self.fo = fb.fil[0]['fo']  # keep current setting
        else:
            self.fo = fo_list[0]  # use first list entry from filterTree
            fb.fil[0]['fo'] = self.fo  # and update fo method

        # check whether fo widget is active, disabled or invisible
        if 'fo' in fo_dict[self.fo] and len(fo_dict[self.fo]['fo']) > 1:
            status = fo_dict[self.fo]['fo'][0]
        else:
            status = 'i'

        # Determine which subwidgets are __visible__
        self.chkMinOrder.setVisible('min' in fo_list)
        self.ledOrderN.setVisible(status in {'a', 'd'})
        self.lblOrderN.setVisible(status in {'a', 'd'})

        # Determine which subwidgets are __enabled__
        self.chkMinOrder.setChecked(fb.fil[0]['fo'] == 'min')
        self.ledOrderN.setText(str(fb.fil[0]['N']))
        self.ledOrderN.setEnabled(not self.chkMinOrder.isChecked()
                                  and status == 'a')
        self.lblOrderN.setEnabled(not self.chkMinOrder.isChecked()
                                  and status == 'a')

        if enb_signal:
            logger.debug("Emit 'filt_changed'")
            self.emit({'filt_changed': 'filter_type'})

# ------------------------------------------------------------------------------

    def _set_filter_order(self, enb_signal=False):
        """
        Triggered when either ledOrderN or chkMinOrder are edited:
        - copy settings to fb.fil[0]
        - emit 'filt_changed' if enb_signal is True
        """
        # Determine which subwidgets are _enabled_
        if self.chkMinOrder.isVisible():
            self.ledOrderN.setEnabled(not self.chkMinOrder.isChecked())
            self.lblOrderN.setEnabled(not self.chkMinOrder.isChecked())

            if self.chkMinOrder.isChecked() is True:
                # update in case N has been changed outside this class
                self.ledOrderN.setText(str(fb.fil[0]['N']))
                fb.fil[0].update({'fo': 'min'})

            else:
                fb.fil[0].update({'fo': 'man'})

        else:
            self.lblOrderN.setEnabled(self.fo == 'man')
            self.ledOrderN.setEnabled(self.fo == 'man')

        # read manual filter order, convert to positive integer and store it
        # in filter dictionary.
        ordn = safe_eval(self.ledOrderN.text(),
                         fb.fil[0]['N'],
                         return_type='int',
                         sign='pos')
        ordn = ordn if ordn > 0 else 1
        self.ledOrderN.setText(str(ordn))
        fb.fil[0].update({'N': ordn})

        if enb_signal:
            logger.debug("Emit 'filt_changed'")
            self.emit({'filt_changed': 'filter_order_widget'})

# ------------------------------------------------------------------------------

    def _destruct_dyn_widgets(self):
        """
        Delete the dynamically created filter design subwidget (if there is one)

        see http://stackoverflow.com/questions/13827798/proper-way-to-cleanup-
        widgets-in-pyqt

        This does NOT work when the subwidgets to be deleted and created are
        identical, as the deletion is only performed when the current scope has
        been left (?)! Hence, it is necessary to skip this method when the new
        design method is the same as the old one.
        """

        if hasattr(ff.fil_inst, 'wdg_fil'):
            # not needed, connection is destroyed automatically
            # ff.fil_inst.sig_tx.disconnect()
            try:
                # remove widget from layout
                self.layHDynWdg.removeWidget(self.dyn_wdg_fil)
                # delete UI widget when scope has been left
                self.dyn_wdg_fil.deleteLater()

            except AttributeError as e:
                logger.error("Could not destruct_UI!\n{0}".format(e))

            ff.fil_inst.deleteLater(
            )  # delete QWidget when scope has been left

# ------------------------------------------------------------------------------

    def _construct_dyn_widgets(self):
        """
        Create filter widget UI dynamically (if the filter routine has one) and
        connect its sig_tx signal to sig_tx in this scope.
        """
        ff.fil_inst.construct_UI()
        if hasattr(ff.fil_inst, 'wdg_fil'):
            try:
                self.dyn_wdg_fil = getattr(ff.fil_inst, 'wdg_fil')
                self.layHDynWdg.addWidget(self.dyn_wdg_fil, stretch=1)
            except AttributeError as e:
                logger.warning(e)

        if hasattr(ff.fil_inst, 'sig_tx'):
            ff.fil_inst.sig_tx.connect(self.sig_tx)
コード例 #14
0
ファイル: plot_tau_g.py プロジェクト: xinghuaman/pyfda
class Plot_tau_g(QWidget):
    """
    Widget for plotting the group delay
    """
    # incoming, connected in sender widget (locally connected to self.process_signals() )
    sig_rx = pyqtSignal(object)
#    sig_tx = pyqtSignal(object) # outgoing from process_signals


    def __init__(self, parent):
        super(Plot_tau_g, self).__init__(parent)
        self.verbose = False # suppress warnings
        self.algorithm = "diff"
        self.needs_calc = True   # flag whether plot needs to be recalculated
        self.tool_tip = self.tr("Group delay")
        self.tab_label = "\U0001D70F(f)"#"tau_g" \u03C4
        self._construct_UI()

    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """
        self.chkWarnings = QCheckBox(self.tr("Verbose"), self)
        self.chkWarnings.setChecked(self.verbose)
        self.chkWarnings.setToolTip(self.tr("<span>Print messages about singular group delay"
                                    "and calculation times."))
 
        self.cmbAlgorithm = QComboBox(self)
        for t in [(self.tr("Auto"),"auto"),(self.tr("Scipy"),"scipy"), (self.tr("JOS"), "jos"),
                  (self.tr("Diff"), "diff"), (self.tr("Shpak"), "shpak")]: # text, data
            self.cmbAlgorithm.addItem(*t)
        qset_cmb_box(self.cmbAlgorithm, self.algorithm,data=True)
        self.cmbAlgorithm.setToolTip(self.tr("<span>Select algorithm for calculating "
                                     "the group delay.</span>"))
        self.cmbAlgorithm.setItemData(0, self.tr("<span>Try to find best-suited algorithm."
                                      "</span>"),Qt.ToolTipRole)
        self.cmbAlgorithm.setItemData(1, self.tr("<span>Scipy algorithm.</span>"),Qt.ToolTipRole)
        self.cmbAlgorithm.setItemData(2, self.tr("<span>J.O. Smith's algorithm.</span>"),Qt.ToolTipRole)
        self.cmbAlgorithm.setItemData(3, self.tr("<span>Textbook-style, differentiate "
                                      "the phase.</span>"),Qt.ToolTipRole)
        self.cmbAlgorithm.setItemData(4, self.tr("<span>Shpak's algorithm for SOS and other "
                                      "IIR filters.</span>"),Qt.ToolTipRole)        

        #self.chkScipy = QCheckBox("Scipy", self)
        #self.chkScipy.setChecked(False)
        #self.chkScipy.setToolTip("Use scipy group delay routine")
 
        layHControls = QHBoxLayout()
        layHControls.addStretch(10)
        layHControls.addWidget(self.chkWarnings)
        #layHControls.addWidget(self.chkScipy)
        layHControls.addWidget(self.cmbAlgorithm)
 
        # This widget encompasses all control subwidgets:
        self.frmControls = QFrame(self)
        self.frmControls.setObjectName("frmControls")
        self.frmControls.setLayout(layHControls)

        self.mplwidget = MplWidget(self)
        self.mplwidget.layVMainMpl.addWidget(self.frmControls)
        self.mplwidget.layVMainMpl.setContentsMargins(*params['wdg_margins'])
        self.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_tau_g.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()
        self.draw() # initial drawing of tau_g

        #----------------------------------------------------------------------
        # GLOBAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.sig_rx.connect(self.process_sig_rx)
        #----------------------------------------------------------------------
        # LOCAL SIGNALS & SLOTs
        #----------------------------------------------------------------------
        self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)
        self.cmbAlgorithm.currentIndexChanged.connect(self.draw)

#------------------------------------------------------------------------------
    def process_sig_rx(self, dict_sig=None):
        """
        Process signals coming from the navigation toolbar and from sig_rx
        """
        logger.debug("Processing {0} | needs_calc = {1}, visible = {2}"\
                     .format(dict_sig, self.needs_calc, self.isVisible()))
        if self.isVisible():
            if 'data_changed' in dict_sig or 'home' in dict_sig or self.needs_calc:
                self.draw()
                self.needs_calc = False
            elif 'view_changed' in dict_sig:
                self.update_view()
        else:
            if 'data_changed' in dict_sig or 'view_changed' in dict_sig:
                self.needs_calc = True

#------------------------------------------------------------------------------
    def init_axes(self):
        """
        Initialize the axes and set some stuff that is not cleared by
        `ax.clear()` later on.
        """
        self.ax = self.mplwidget.fig.subplots()
        self.ax.xaxis.tick_bottom() # remove axis ticks on top
        self.ax.yaxis.tick_left() # remove axis ticks right

#------------------------------------------------------------------------------
    def calc_tau_g(self):
        """
        (Re-)Calculate the complex frequency response H(f)
        """
        bb = fb.fil[0]['ba'][0]
        aa = fb.fil[0]['ba'][1]

        # calculate H_cmplx(W) (complex) for W = 0 ... 2 pi:
        # scipy: self.W, self.tau_g = group_delay((bb, aa), w=params['N_FFT'], whole = True)

        if fb.fil[0]['creator'][0] == 'sos': # one of 'sos', 'zpk', 'ba'
            self.W, self.tau_g = group_delay(fb.fil[0]['sos'], nfft=params['N_FFT'], sos=True,
                                         whole=True, verbose=self.chkWarnings.isChecked(),
                                         alg=self.cmbAlgorithm.currentData())
        else:
            self.W, self.tau_g = group_delay(bb, aa, nfft=params['N_FFT'], whole=True,
                                         verbose=self.chkWarnings.isChecked(),
                                         alg=self.cmbAlgorithm.currentData()) # self.chkWarnings.isChecked())

        # Zero phase filters have no group delay (Causal+AntiCausal)
        if 'baA' in fb.fil[0]:
           self.tau_g = np.zeros(self.tau_g.size)

#------------------------------------------------------------------------------
    def draw(self):
        self.calc_tau_g()
        self.update_view()

#------------------------------------------------------------------------------
    def update_view(self):
        """
        Draw the figure with new limits, scale etc without recalculating H(f)
        """
        #========= select frequency range to be displayed =====================
        #=== shift, scale and select: W -> F, H_cplx -> H_c
        f_max_2 = fb.fil[0]['f_max'] / 2.
        F = self.W * f_max_2 / np.pi

        if fb.fil[0]['freqSpecsRangeType'] == 'sym':
            # shift tau_g and F by f_S/2
            tau_g = np.fft.fftshift(self.tau_g)
            F -= f_max_2
        elif fb.fil[0]['freqSpecsRangeType'] == 'half':
            # only use the first half of H and F
            tau_g = self.tau_g[0:params['N_FFT']//2]
            F = F[0:params['N_FFT']//2]
        else: # fb.fil[0]['freqSpecsRangeType'] == 'whole'
            # use H and F as calculated
            tau_g = self.tau_g

        #================ Main Plotting Routine =========================
        #===  clear the axes and (re)draw the plot

        if fb.fil[0]['freq_specs_unit'] in {'f_S', 'f_Ny'}:
            tau_str = r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega}) / T_S \; \rightarrow $'
        else:
            tau_str = r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega})$'\
                + ' in ' + fb.fil[0]['plt_tUnit'] + r' $ \rightarrow $'
            tau_g = tau_g / fb.fil[0]['f_S']

        #---------------------------------------------------------
        self.ax.clear() # need to clear, doesn't overwrite
        line_tau_g, = self.ax.plot(F, tau_g, label = "Group Delay")
        #---------------------------------------------------------

        self.ax.xaxis.set_minor_locator(AutoMinorLocator()) # enable minor ticks
        self.ax.yaxis.set_minor_locator(AutoMinorLocator()) # enable minor ticks
        self.ax.set_title(r'Group Delay $ \tau_g$')
        self.ax.set_xlabel(fb.fil[0]['plt_fLabel'])
        self.ax.set_ylabel(tau_str)
        # widen y-limits to suppress numerical inaccuracies when tau_g = constant
        self.ax.set_ylim([max(np.nanmin(tau_g)-0.5,0), np.nanmax(tau_g) + 0.5])
        self.ax.set_xlim(fb.fil[0]['freqSpecsRange'])

        self.redraw()

#------------------------------------------------------------------------------
    def redraw(self):
        """
        Redraw the canvas when e.g. the canvas size has changed
        """
        self.mplwidget.redraw()