コード例 #1
0
ファイル: tran_io_ui.py プロジェクト: tspiteri/pyfda
    def _construct_UI(self):
        # =====================================================================
        # Controls
        # =====================================================================

        self.butLoad = PushButton(self,
                                  icon=QIcon(':/file.svg'),
                                  checkable=False)
        # self.butLoad.setIconSize(q_icon_size)
        self.butLoad.setToolTip("Load data from file.")
        self.butLoad.setEnabled(False)

        self.lbl_info = QLabel(to_html("  coming soon ...", frmt="b"))

        # ----------------------------------------------------------------------
        # Main Widget
        # ----------------------------------------------------------------------
        layH_io_par = QHBoxLayout()
        layH_io_par.addWidget(self.butLoad)
        layH_io_par.addWidget(self.lbl_info)

        layV_io = QVBoxLayout()
        layV_io.addLayout(layH_io_par)

        layH_io = QHBoxLayout()
        layH_io.addLayout(layV_io)
        layH_io.addStretch(10)

        self.wdg_top = QWidget(self)
        self.wdg_top.setLayout(layH_io)
        self.wdg_top.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Minimum)
コード例 #2
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 #3
0
    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)
コード例 #4
0
ファイル: input_coeffs_ui.py プロジェクト: tspiteri/pyfda
    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)
コード例 #5
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 #6
0
    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)
コード例 #7
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 #8
0
    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(to_html("Unit:", frmt="b"), self)

        self.cmb_units_a = QComboBox(self)
        qcmb_box_populate(self.cmb_units_a, self.cmb_units_a_items,
                          self.cmb_units_a_default)
        self.cmb_units_a.setObjectName("cmbUnitsA")

        self.lbl_log_bottom = QLabel(to_html("min =", 'bi'), self)
        self.led_log_bottom = QLineEdit(self)
        self.led_log_bottom.setText(str(self.log_bottom))
        self.led_log_bottom.setMaximumWidth(qtext_width(N_x=8))
        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.cmb_units_a.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.but_zerophase = PushButton(" Zero phase ", checked=False)
        self.but_zerophase.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(to_html("Inset", "bi"), 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.but_specs = PushButton("Specs ", checked=False)
        self.but_specs.setToolTip("Display filter specs as hatched regions")

        self.but_phase = PushButton("Phase ", checked=False)
        self.but_phase.setToolTip("Overlay phase")

        self.but_align = PushButton("Align", checked=True)
        self.but_align.setToolTip(
            "<span>Try to align gridlines for magnitude and phase "
            "(doesn't work in all cases).</span>")
        self.but_align.setVisible(self.but_phase.isChecked())

        # ----------------------------------------------------------------------
        #               ### frmControls ###
        #
        # This widget encompasses all control subwidgets
        # ----------------------------------------------------------------------
        layHControls = QHBoxLayout()
        layHControls.addWidget(self.cmbShowH)
        layHControls.addWidget(self.lblIn)
        layHControls.addWidget(self.cmb_units_a)
        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.but_zerophase)
        layHControls.addStretch(1)
        layHControls.addWidget(self.lblInset)
        layHControls.addWidget(self.cmbInset)
        layHControls.addStretch(1)
        layHControls.addWidget(self.but_specs)
        layHControls.addStretch(1)
        layHControls.addWidget(self.but_phase)
        layHControls.addWidget(self.but_align)
        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['mpl_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.cmb_units_a.currentIndexChanged.connect(self.draw)
        self.led_log_bottom.editingFinished.connect(self.update_view)
        self.cmbShowH.currentIndexChanged.connect(self.draw)

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

        self.but_specs.clicked.connect(self.draw)
        self.but_phase.clicked.connect(self.draw)
        self.but_align.clicked.connect(self.draw)

        self.mplwidget.mplToolbar.sig_tx.connect(self.process_sig_rx)
コード例 #9
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):
        super().__init__()
        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.cmb_units_a_items = [
            "<span>Set unit for y-axis</span>",
            ("Auto", "Auto", "Use same setting as in Ripple specifications"),
            ("dB", "dB", "Attenuation in dB"),
            ("V", "V", "Linear gain"),
            ("W", "W", "Power gain")
        ]
        self.cmb_units_a_default = "auto"  # default setting

        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(to_html("Unit:", frmt="b"), self)

        self.cmb_units_a = QComboBox(self)
        qcmb_box_populate(self.cmb_units_a, self.cmb_units_a_items,
                          self.cmb_units_a_default)
        self.cmb_units_a.setObjectName("cmbUnitsA")

        self.lbl_log_bottom = QLabel(to_html("min =", 'bi'), self)
        self.led_log_bottom = QLineEdit(self)
        self.led_log_bottom.setText(str(self.log_bottom))
        self.led_log_bottom.setMaximumWidth(qtext_width(N_x=8))
        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.cmb_units_a.setSizeAdjustPolicy(QComboBox.AdjustToContents)

        self.but_zerophase = PushButton(" Zero phase ", checked=False)
        self.but_zerophase.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(to_html("Inset", "bi"), 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.but_specs = PushButton("Specs ", checked=False)
        self.but_specs.setToolTip("Display filter specs as hatched regions")

        self.but_phase = PushButton("Phase ", checked=False)
        self.but_phase.setToolTip("Overlay phase")

        self.but_align = PushButton("Align", checked=True)
        self.but_align.setToolTip(
            "<span>Try to align gridlines for magnitude and phase "
            "(doesn't work in all cases).</span>")
        self.but_align.setVisible(self.but_phase.isChecked())

        # ----------------------------------------------------------------------
        #               ### frmControls ###
        #
        # This widget encompasses all control subwidgets
        # ----------------------------------------------------------------------
        layHControls = QHBoxLayout()
        layHControls.addWidget(self.cmbShowH)
        layHControls.addWidget(self.lblIn)
        layHControls.addWidget(self.cmb_units_a)
        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.but_zerophase)
        layHControls.addStretch(1)
        layHControls.addWidget(self.lblInset)
        layHControls.addWidget(self.cmbInset)
        layHControls.addStretch(1)
        layHControls.addWidget(self.but_specs)
        layHControls.addStretch(1)
        layHControls.addWidget(self.but_phase)
        layHControls.addWidget(self.but_align)
        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['mpl_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.cmb_units_a.currentIndexChanged.connect(self.draw)
        self.led_log_bottom.editingFinished.connect(self.update_view)
        self.cmbShowH.currentIndexChanged.connect(self.draw)

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

        self.but_specs.clicked.connect(self.draw)
        self.but_phase.clicked.connect(self.draw)
        self.but_align.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.but_specs.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.but_phase.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_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.but_align.setVisible(self.but_phase.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.cmb_units_a.currentText() == 'Auto':
            self.unitA = fb.fil[0]['amp_specs_unit']
        else:
            self.unitA = self.cmb_units_a.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.but_zerophase.setCheckable(self.unitA == 'V')
        self.but_zerophase.setEnabled(self.unitA == 'V')

        self.specs = self.but_specs.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.but_zerophase.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.but_specs.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.but_phase.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.but_align.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 #10
0
ファイル: plot_pz.py プロジェクト: tspiteri/pyfda
    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """
        self.but_hf = PushButton("|H(f)| ", checked=False)
        self.but_hf.setToolTip(
            "<span>Display |H(f)| around unit circle.</span>")

        self.but_hf_log = PushButton(" Log. |H(f)| ", checked=False)
        self.but_hf_log.setToolTip("<span>Log. scale for |H(f)|.</span>")

        self.diaRad_Hf = QDial(self)
        self.diaRad_Hf.setRange(2, 10)
        self.diaRad_Hf.setValue(2)
        self.diaRad_Hf.setTracking(False)  # produce less events when turning
        self.diaRad_Hf.setFixedHeight(30)
        self.diaRad_Hf.setFixedWidth(30)
        self.diaRad_Hf.setWrapping(False)
        self.diaRad_Hf.setToolTip(
            "<span>Set max. radius for |H(f)| plot.</span>")

        self.lblRad_Hf = QLabel("Radius", self)

        self.but_fir_poles = PushButton("FIR Poles", checked=True)
        self.but_fir_poles.setToolTip(
            "<span>Show FIR poles at the origin.</span>")

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.but_hf)
        layHControls.addWidget(self.but_hf_log)
        layHControls.addWidget(self.diaRad_Hf)
        layHControls.addWidget(self.lblRad_Hf)
        layHControls.addStretch(10)
        layHControls.addWidget(self.but_fir_poles)

        # ----------------------------------------------------------------------
        #               ### 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.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_pz.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()

        self.draw()  # calculate and draw poles and zeros

        # ----------------------------------------------------------------------
        # 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.but_hf.clicked.connect(self.draw)
        self.but_hf_log.clicked.connect(self.draw)
        self.diaRad_Hf.valueChanged.connect(self.draw)
        self.but_fir_poles.clicked.connect(self.draw)
コード例 #11
0
ファイル: plot_pz.py プロジェクト: tspiteri/pyfda
class Plot_PZ(QWidget):
    # incoming, connected in sender widget (locally connected to self.process_sig_rx() )
    sig_rx = pyqtSignal(object)

    def __init__(self):
        super().__init__()
        self.needs_calc = True  # flag whether filter data has been changed
        self.needs_draw = False  # flag whether whether figure needs to be drawn
        # with new limits etc. (not implemented yet)
        self.tool_tip = "Pole / zero plan"
        self.tab_label = "P / Z"

        self._construct_UI()

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

    def process_sig_rx(self, dict_sig: dict = None) -> None:
        """
        Process signals coming from the navigation toolbar and from sig_rx
        """
        # logger.debug("Processing {0} | needs_draw = {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
                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:
                self.needs_calc = True
            if 'view_changed' in dict_sig:
                self.needs_draw = True

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

    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """
        self.but_hf = PushButton("|H(f)| ", checked=False)
        self.but_hf.setToolTip(
            "<span>Display |H(f)| around unit circle.</span>")

        self.but_hf_log = PushButton(" Log. |H(f)| ", checked=False)
        self.but_hf_log.setToolTip("<span>Log. scale for |H(f)|.</span>")

        self.diaRad_Hf = QDial(self)
        self.diaRad_Hf.setRange(2, 10)
        self.diaRad_Hf.setValue(2)
        self.diaRad_Hf.setTracking(False)  # produce less events when turning
        self.diaRad_Hf.setFixedHeight(30)
        self.diaRad_Hf.setFixedWidth(30)
        self.diaRad_Hf.setWrapping(False)
        self.diaRad_Hf.setToolTip(
            "<span>Set max. radius for |H(f)| plot.</span>")

        self.lblRad_Hf = QLabel("Radius", self)

        self.but_fir_poles = PushButton("FIR Poles", checked=True)
        self.but_fir_poles.setToolTip(
            "<span>Show FIR poles at the origin.</span>")

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.but_hf)
        layHControls.addWidget(self.but_hf_log)
        layHControls.addWidget(self.diaRad_Hf)
        layHControls.addWidget(self.lblRad_Hf)
        layHControls.addStretch(10)
        layHControls.addWidget(self.but_fir_poles)

        # ----------------------------------------------------------------------
        #               ### 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.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_pz.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()

        self.draw()  # calculate and draw poles and zeros

        # ----------------------------------------------------------------------
        # 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.but_hf.clicked.connect(self.draw)
        self.but_hf_log.clicked.connect(self.draw)
        self.diaRad_Hf.valueChanged.connect(self.draw)
        self.but_fir_poles.clicked.connect(self.draw)

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

    def init_axes(self):
        """
        Initialize and clear the axes (this is only run once)
        """
        if len(self.mplwidget.fig.get_axes()) == 0:  # empty figure, no axes
            self.ax = self.mplwidget.fig.subplots()  #.add_subplot(111)
        self.ax.xaxis.tick_bottom()  # remove axis ticks on top
        self.ax.yaxis.tick_left()  # remove axis ticks right

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

    def update_view(self):
        """
        Draw the figure with new limits, scale etcs without recalculating H(f)
        -- not yet implemented, just use draw() for the moment
        """
        self.draw()

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

    def draw(self):
        self.but_fir_poles.setVisible(fb.fil[0]['ft'] == 'FIR')
        self.draw_pz()

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

    def draw_pz(self):
        """
        (re)draw P/Z plot
        """
        p_marker = params['P_Marker']
        z_marker = params['Z_Marker']

        zpk = fb.fil[0]['zpk']

        # add antiCausals if they exist (must take reciprocal to plot)
        if 'rpk' in fb.fil[0]:
            zA = fb.fil[0]['zpk'][0]
            zA = np.conj(1. / zA)
            pA = fb.fil[0]['zpk'][1]
            pA = np.conj(1. / pA)
            zC = np.append(zpk[0], zA)
            pC = np.append(zpk[1], pA)
            zpk[0] = zC
            zpk[1] = pC

        self.ax.clear()

        [z, p, k] = self.zplane(z=zpk[0],
                                p=zpk[1],
                                k=zpk[2],
                                plt_ax=self.ax,
                                plt_poles=self.but_fir_poles.isChecked()
                                or fb.fil[0]['ft'] == 'IIR',
                                mps=p_marker[0],
                                mpc=p_marker[1],
                                mzs=z_marker[0],
                                mzc=z_marker[1])

        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'Pole / Zero Plot')
        self.ax.set_xlabel('Real axis')
        self.ax.set_ylabel('Imaginary axis')

        self.draw_Hf(r=self.diaRad_Hf.value())

        self.redraw()

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

    def redraw(self):
        """
        Redraw the canvas when e.g. the canvas size has changed
        """
        self.mplwidget.redraw()

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

    def zplane(self,
               b=None,
               a=1,
               z=None,
               p=None,
               k=1,
               pn_eps=1e-3,
               analog=False,
               plt_ax=None,
               plt_poles=True,
               style='square',
               anaCircleRad=0,
               lw=2,
               mps=10,
               mzs=10,
               mpc='r',
               mzc='b',
               plabel='',
               zlabel=''):
        """
        Plot the poles and zeros in the complex z-plane either from the
        coefficients (`b,`a) of a discrete transfer function `H`(`z`) (zpk = False)
        or directly from the zeros and poles (z,p) (zpk = True).

        When only b is given, an FIR filter with all poles at the origin is assumed.

        Parameters
        ----------
        b :  array_like
             Numerator coefficients (transversal part of filter)
             When b is not None, poles and zeros are determined from the coefficients
             b and a

        a :  array_like (optional, default = 1 for FIR-filter)
             Denominator coefficients (recursive part of filter)

        z :  array_like, default = None
             Zeros
             When b is None, poles and zeros are taken directly from z and p

        p :  array_like, default = None
             Poles

        analog : boolean (default: False)
            When True, create a P/Z plot suitable for the s-plane, i.e. suppress
            the unit circle (unless anaCircleRad > 0) and scale the plot for
            a good display of all poles and zeros.

        pn_eps : float (default : 1e-2)
             Tolerance for separating close poles or zeros

        plt_ax : handle to axes for plotting (default: None)
            When no axes is specified, the current axes is determined via plt.gca()

        plt_poles : Boolean (default : True)
            Plot poles. This can be used to suppress poles for FIR systems
            where all poles are at the origin.

        style : string (default: 'square')
            Style of the plot, for style == 'square' make scale of x- and y-
            axis equal.

        mps : integer  (default: 10)
            Size for pole marker

        mzs : integer (default: 10)
            Size for zero marker

        mpc : char (default: 'r')
            Pole marker colour

        mzc : char (default: 'b')
            Zero marker colour

        lw : integer (default:  2)
            Linewidth for unit circle

        plabel, zlabel : string (default: '')
            This string is passed to the plot command for poles and zeros and
            can be displayed by legend()


        Returns
        -------
        z, p, k : ndarray


        Notes
        -----
        """
        # TODO:
        # - polar option
        # - add keywords for color of circle -> **kwargs
        # - add option for multi-dimensional arrays and zpk data

        # make sure that all inputs are arrays
        b = np.atleast_1d(b)
        a = np.atleast_1d(a)
        z = np.atleast_1d(z)  # make sure that p, z  are arrays
        p = np.atleast_1d(p)

        if b.any():  # coefficients were specified
            if len(b) < 2 and len(a) < 2:
                logger.error(
                    'No proper filter coefficients: both b and a are scalars!')
                return z, p, k

            # The coefficients are less than 1, normalize the coefficients
            if np.max(b) > 1:
                kn = np.max(b)
                b = b / float(kn)
            else:
                kn = 1.

            if np.max(a) > 1:
                kd = np.max(a)
                a = a / abs(kd)
            else:
                kd = 1.

            # Calculate the poles, zeros and scaling factor
            p = np.roots(a)
            z = np.roots(b)
            k = kn / kd
        elif not (len(p) or len(z)):  # P/Z were specified
            logger.error('Either b,a or z,p must be specified!')
            return z, p, k

        # find multiple poles and zeros and their multiplicities
        if len(p) < 2:  # single pole, [None] or [0]
            if not p or p == 0:  # only zeros, create equal number of poles at origin
                p = np.array(0, ndmin=1)  #
                num_p = np.atleast_1d(len(z))
            else:
                num_p = [1.]  # single pole != 0
        else:
            #p, num_p = sig.signaltools.unique_roots(p, tol = pn_eps, rtype='avg')
            p, num_p = unique_roots(p, tol=pn_eps, rtype='avg')
    #        p = np.array(p); num_p = np.ones(len(p))
        if len(z) > 0:
            z, num_z = unique_roots(z, tol=pn_eps, rtype='avg')

    #        z = np.array(z); num_z = np.ones(len(z))
    #z, num_z = sig.signaltools.unique_roots(z, tol = pn_eps, rtype='avg')
        else:
            num_z = []

        ax = plt_ax  #.subplot(111)
        if analog is False:
            # create the unit circle for the z-plane
            uc = patches.Circle((0, 0),
                                radius=1,
                                fill=False,
                                color='grey',
                                ls='solid',
                                zorder=1)
            ax.add_patch(uc)
            if style == 'square':
                # r = 1.1
                # ax.axis([-r, r, -r, r]) # overridden by next option
                ax.axis('equal')
        #    ax.spines['left'].set_position('center')
        #    ax.spines['bottom'].set_position('center')
        #    ax.spines['right'].set_visible(True)
        #    ax.spines['top'].set_visible(True)

        else:  # s-plane
            if anaCircleRad > 0:
                # plot a circle with radius = anaCircleRad
                uc = patches.Circle((0, 0),
                                    radius=anaCircleRad,
                                    fill=False,
                                    color='grey',
                                    ls='solid',
                                    zorder=1)
                ax.add_patch(uc)
            # plot real and imaginary axis
            ax.axhline(lw=2, color='k', zorder=1)
            ax.axvline(lw=2, color='k', zorder=1)

        # Plot the zeros
        ax.scatter(z.real,
                   z.imag,
                   s=mzs * mzs,
                   zorder=2,
                   marker='o',
                   facecolor='none',
                   edgecolor=mzc,
                   lw=lw,
                   label=zlabel)
        # and print their multiplicity
        for i in range(len(z)):
            logger.debug('z: {0} | {1} | {2}'.format(i, z[i], num_z[i]))
            if num_z[i] > 1:
                ax.text(np.real(z[i]),
                        np.imag(z[i]),
                        '  (' + str(num_z[i]) + ')',
                        va='top',
                        color=mzc)
        if plt_poles:
            # Plot the poles
            ax.scatter(p.real,
                       p.imag,
                       s=mps * mps,
                       zorder=2,
                       marker='x',
                       color=mpc,
                       lw=lw,
                       label=plabel)
            # and print their multiplicity
            for i in range(len(p)):
                logger.debug('p:{0} | {1} | {2}'.format(i, p[i], num_p[i]))
                if num_p[i] > 1:
                    ax.text(np.real(p[i]),
                            np.imag(p[i]),
                            '  (' + str(num_p[i]) + ')',
                            va='bottom',
                            color=mpc)

# =============================================================================
#            # increase distance between ticks and labels
#            # to give some room for poles and zeros
#         for tick in ax.get_xaxis().get_major_ticks():
#             tick.set_pad(12.)
#             tick.label1 = tick._get_text1()
#         for tick in ax.get_yaxis().get_major_ticks():
#             tick.set_pad(12.)
#             tick.label1 = tick._get_text1()
#
# =============================================================================
        xl = ax.get_xlim()
        Dx = max(abs(xl[1] - xl[0]), 0.05)
        yl = ax.get_ylim()
        Dy = max(abs(yl[1] - yl[0]), 0.05)
        ax.set_xlim((xl[0] - Dx * 0.05, max(xl[1] + Dx * 0.05, 0)))
        ax.set_ylim((yl[0] - Dy * 0.05, yl[1] + Dy * 0.05))

        return z, p, k

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

    def draw_Hf(self, r=2):
        """
        Draw the magnitude frequency response around the UC
        """
        # suppress "divide by zero in log10" warnings
        old_settings_seterr = np.seterr()
        np.seterr(divide='ignore')

        self.but_hf_log.setVisible(self.but_hf.isChecked())
        self.diaRad_Hf.setVisible(self.but_hf.isChecked())
        self.lblRad_Hf.setVisible(self.but_hf.isChecked())
        if not self.but_hf.isChecked():
            return
        ba = fb.fil[0]['ba']
        w, H = sig.freqz(ba[0], ba[1], worN=params['N_FFT'], whole=True)
        H = np.abs(H)
        if self.but_hf_log.isChecked():
            H = np.clip(np.log10(H), -6, None)  # clip to -120 dB
            H = H - np.max(H)  # shift scale to H_min ... 0
            H = 1 + (r - 1) * (1 + H / abs(np.min(H)))  # scale to 1 ... r
        else:
            H = 1 + (r - 1) * H / np.max(H)  #  map |H(f)| to a range 1 ... r
        y = H * np.sin(w)
        x = H * np.cos(w)

        self.ax.plot(x, y, label="|H(f)|")
        uc = patches.Circle((0, 0),
                            radius=r,
                            fill=False,
                            color='grey',
                            ls='dashed',
                            zorder=1)
        self.ax.add_patch(uc)

        xl = self.ax.get_xlim()
        xmax = max(abs(xl[0]), abs(xl[1]), r * 1.05)
        yl = self.ax.get_ylim()
        ymax = max(abs(yl[0]), abs(yl[1]), r * 1.05)
        self.ax.set_xlim((-xmax, xmax))
        self.ax.set_ylim((-ymax, ymax))

        np.seterr(**old_settings_seterr)
コード例 #12
0
ファイル: input_pz_ui.py プロジェクト: tspiteri/pyfda
    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 = PushButton(self, icon=QIcon(':/circle-check.svg'), checked=True)
        q_icon_size = self.butEnable.iconSize()  # <- set this for manual icon sizing
        # self.butEnable.setIconSize(q_icon_size)  # and set the size
        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)
        qcmb_box_populate(
            self.cmbPZFrmt, self.cmb_pz_frmt_list, self.cmb_pz_frmt_init)

        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)  # affects only the first widget (intended)
        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)
コード例 #13
0
ファイル: input_pz_ui.py プロジェクト: tspiteri/pyfda
class Input_PZ_UI(QWidget):
    """
    Create the UI for the InputPZ class
    """
    sig_rx = pyqtSignal(object)  # incoming
    sig_tx = pyqtSignal(object)  # outgoing
    from pyfda.libs.pyfda_qt_lib import emit

    def __init__(self, parent=None):
        """
        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

        # Items for PZ-format combobox (data, display text, tool tip):
        self.cmb_pz_frmt_list = [
            """<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>""",
            #
            ('cartesian', 'Cartesian'), ('polar_rad', 'Polar (rad)'),
            ('polar_pi', 'Polar (pi)'), ('polar_deg', 'Polar (°)')]
        # π: u'3C0, °: u'B0, ∠: u'2220
        self.cmb_pz_frmt_init = 'polar_deg'  # initial setting

        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  # 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.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

        # ---------------------------------------------
        # UI Elements for controlling the display
        # ---------------------------------------------
        self.butEnable = PushButton(self, icon=QIcon(':/circle-check.svg'), checked=True)
        q_icon_size = self.butEnable.iconSize()  # <- set this for manual icon sizing
        # self.butEnable.setIconSize(q_icon_size)  # and set the size
        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)
        qcmb_box_populate(
            self.cmbPZFrmt, self.cmb_pz_frmt_list, self.cmb_pz_frmt_init)

        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)  # affects only the first widget (intended)
        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.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 #14
0
    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """
        self.lbl_overlay = QLabel(to_html("Overlay:", frmt='bi'), self)
        self.cmb_overlay = QComboBox(self)
        qcmb_box_populate(
            self.cmb_overlay, self.cmb_overlay_items, self.cmb_overlay_default)

        self.but_log = PushButton(" Log.", checked=True)
        self.but_log.setObjectName("but_log")
        self.but_log.setToolTip("<span>Log. scale for overlays.</span>")

        self.diaRad_Hf = QDial(self)
        self.diaRad_Hf.setRange(2, 10)
        self.diaRad_Hf.setValue(2)
        self.diaRad_Hf.setTracking(False)  # produce less events when turning
        self.diaRad_Hf.setFixedHeight(30)
        self.diaRad_Hf.setFixedWidth(30)
        self.diaRad_Hf.setWrapping(False)
        self.diaRad_Hf.setToolTip("<span>Set max. radius for |H(f)| plot.</span>")

        self.lblRad_Hf = QLabel("Radius", self)

        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.setMaximumWidth(qtext_width(N_x=8))
        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.ledTop.setMaximumWidth(qtext_width(N_x=8))
        self.lblTopdB = QLabel("dB", self)
        self.lblTopdB.setVisible(self.but_log.isChecked())

        self.but_fir_poles = PushButton(" FIR Poles ", checked=True)
        self.but_fir_poles.setToolTip("<span>Show FIR poles at the origin.</span>")

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.lbl_overlay)
        layHControls.addWidget(self.cmb_overlay)
        layHControls.addWidget(self.but_log)
        layHControls.addWidget(self.diaRad_Hf)
        layHControls.addWidget(self.lblRad_Hf)
        layHControls.addWidget(self.lblTop)
        layHControls.addWidget(self.ledTop)
        layHControls.addWidget(self.lblTopdB)
        layHControls.addWidget(self.lblBottom)
        layHControls.addWidget(self.ledBottom)
        layHControls.addWidget(self.lblBottomdB)
        layHControls.addStretch(10)
        layHControls.addWidget(self.but_fir_poles)

        # ----------------------------------------------------------------------
        #               ### 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.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_pz.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()

        self._log_clicked()  # calculate and draw poles and zeros

        # ----------------------------------------------------------------------
        # 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.cmb_overlay.currentIndexChanged.connect(self.draw)
        self.but_log.clicked.connect(self._log_clicked)
        self.ledBottom.editingFinished.connect(self._log_clicked)
        self.ledTop.editingFinished.connect(self._log_clicked)
        self.diaRad_Hf.valueChanged.connect(self.draw)
        self.but_fir_poles.clicked.connect(self.draw)
コード例 #15
0
class Plot_PZ(QWidget):
    # incoming, connected in sender widget (locally connected to self.process_sig_rx() )
    sig_rx = pyqtSignal(object)

    def __init__(self):
        super().__init__()
        self.needs_calc = True   # flag whether filter data has been changed
        self.needs_draw = False  # flag whether whether figure needs to be drawn
                                 # with new limits etc. (not implemented yet)
        self.tool_tip = "Pole / zero plan"
        self.tab_label = "P / Z"

        self.cmb_overlay_items = [
            "<span>Add various overlays to P/Z diagram.</span>",
            ("none", "None", ""),
            ("h(f)", "|H(f)|",
             "<span>Show |H(f)| wrapped around the unit circle between 0 resp. -120 dB "
             "and max(H(f)).</span>"),
            ("contour", "Contour", "<span>Show contour lines for |H(z)|</span>"),
            ("contourf", "Contourf", "<span>Show filled contours for |H(z)|</span>"),
            ]
        self.cmb_overlay_default = "none"  # default setting
        self.cmap = "viridis"  # colormap

        self.zmin = 0
        self.zmax = 2
        self.zmin_dB = -80
        self.zmax_dB = np.round(20 * np.log10(self.zmax), 2)
        self._construct_UI()

# ------------------------------------------------------------------------------
    def process_sig_rx(self, dict_sig: dict = None) -> None:
        """
        Process signals coming from the navigation toolbar and from sig_rx
        """
        # logger.info("Processing {0} | needs_draw = {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
                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':
                self.draw()
        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_draw = True

# ------------------------------------------------------------------------------
    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """
        self.lbl_overlay = QLabel(to_html("Overlay:", frmt='bi'), self)
        self.cmb_overlay = QComboBox(self)
        qcmb_box_populate(
            self.cmb_overlay, self.cmb_overlay_items, self.cmb_overlay_default)

        self.but_log = PushButton(" Log.", checked=True)
        self.but_log.setObjectName("but_log")
        self.but_log.setToolTip("<span>Log. scale for overlays.</span>")

        self.diaRad_Hf = QDial(self)
        self.diaRad_Hf.setRange(2, 10)
        self.diaRad_Hf.setValue(2)
        self.diaRad_Hf.setTracking(False)  # produce less events when turning
        self.diaRad_Hf.setFixedHeight(30)
        self.diaRad_Hf.setFixedWidth(30)
        self.diaRad_Hf.setWrapping(False)
        self.diaRad_Hf.setToolTip("<span>Set max. radius for |H(f)| plot.</span>")

        self.lblRad_Hf = QLabel("Radius", self)

        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.setMaximumWidth(qtext_width(N_x=8))
        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.ledTop.setMaximumWidth(qtext_width(N_x=8))
        self.lblTopdB = QLabel("dB", self)
        self.lblTopdB.setVisible(self.but_log.isChecked())

        self.but_fir_poles = PushButton(" FIR Poles ", checked=True)
        self.but_fir_poles.setToolTip("<span>Show FIR poles at the origin.</span>")

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.lbl_overlay)
        layHControls.addWidget(self.cmb_overlay)
        layHControls.addWidget(self.but_log)
        layHControls.addWidget(self.diaRad_Hf)
        layHControls.addWidget(self.lblRad_Hf)
        layHControls.addWidget(self.lblTop)
        layHControls.addWidget(self.ledTop)
        layHControls.addWidget(self.lblTopdB)
        layHControls.addWidget(self.lblBottom)
        layHControls.addWidget(self.ledBottom)
        layHControls.addWidget(self.lblBottomdB)
        layHControls.addStretch(10)
        layHControls.addWidget(self.but_fir_poles)

        # ----------------------------------------------------------------------
        #               ### 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.mplwidget.mplToolbar.a_he.setEnabled(True)
        self.mplwidget.mplToolbar.a_he.info = "manual/plot_pz.html"
        self.setLayout(self.mplwidget.layVMainMpl)

        self.init_axes()

        self._log_clicked()  # calculate and draw poles and zeros

        # ----------------------------------------------------------------------
        # 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.cmb_overlay.currentIndexChanged.connect(self.draw)
        self.but_log.clicked.connect(self._log_clicked)
        self.ledBottom.editingFinished.connect(self._log_clicked)
        self.ledTop.editingFinished.connect(self._log_clicked)
        self.diaRad_Hf.valueChanged.connect(self.draw)
        self.but_fir_poles.clicked.connect(self.draw)

    # --------------------------------------------------------------------------
    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
        """
        # clicking but_log triggered the slot or initialization
        if self.sender() is None or self.sender().objectName() == 'but_log':
            if self.but_log.isChecked():
                self.ledBottom.setText(str(self.zmin_dB))
                self.zmax_dB = np.round(20 * np.log10(self.zmax), 2)
                self.ledTop.setText(str(self.zmax_dB))
            else:
                self.ledBottom.setText(str(self.zmin))
                self.zmax = np.round(10**(self.zmax_dB / 20), 2)
                self.ledTop.setText(str(self.zmax))

        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 init_axes(self):
        """
        Initialize and clear the axes (this is only run once)
        """
        self.mplwidget.fig.clf()  # needed to get rid of colorbar
        if len(self.mplwidget.fig.get_axes()) == 0:  # empty figure, no axes
            self.ax = self.mplwidget.fig.subplots()  # .add_subplot(111)
        self.ax.xaxis.tick_bottom()  # remove axis ticks on top
        self.ax.yaxis.tick_left()  # remove axis ticks right

    # --------------------------------------------------------------------------
    def update_view(self):
        """
        Draw the figure with new limits, scale etcs without recalculating H(f)
        -- not yet implemented, just use draw() for the moment
        """
        self.draw()

    # --------------------------------------------------------------------------
    def draw(self):
        self.but_fir_poles.setVisible(fb.fil[0]['ft'] == 'FIR')
        contour = qget_cmb_box(self.cmb_overlay) in {"contour", "contourf"}
        self.ledBottom.setVisible(contour)
        self.lblBottom.setVisible(contour)
        self.lblBottomdB.setVisible(contour and self.but_log.isChecked())
        self.ledTop.setVisible(contour)
        self.lblTop.setVisible(contour)
        self.lblTopdB.setVisible(contour and self.but_log.isChecked())

        if True:
            self.init_axes()
        self.draw_pz()

    # --------------------------------------------------------------------------
    def draw_pz(self):
        """
        (re)draw P/Z plot
        """
        p_marker = params['P_Marker']
        z_marker = params['Z_Marker']

        zpk = fb.fil[0]['zpk']

        # add antiCausals if they exist (must take reciprocal to plot)
        if 'rpk' in fb.fil[0]:
            zA = fb.fil[0]['zpk'][0]
            zA = np.conj(1./zA)
            pA = fb.fil[0]['zpk'][1]
            pA = np.conj(1./pA)
            zC = np.append(zpk[0], zA)
            pC = np.append(zpk[1], pA)
            zpk[0] = zC
            zpk[1] = pC

        self.ax.clear()

        [z, p, k] = self.zplane(
            z=zpk[0], p=zpk[1], k=zpk[2], plt_ax=self.ax,
            plt_poles=self.but_fir_poles.isChecked() or fb.fil[0]['ft'] == 'IIR',
            mps=p_marker[0], mpc=p_marker[1], mzs=z_marker[0], mzc=z_marker[1])

        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'Pole / Zero Plot')
        self.ax.set_xlabel('Real axis')
        self.ax.set_ylabel('Imaginary axis')

        overlay = qget_cmb_box(self.cmb_overlay)
        self.but_log.setVisible(overlay != "none")

        self.draw_Hf(r=self.diaRad_Hf.value(), Hf_visible=(overlay == "h(f)"))

        self.draw_contours(overlay)

        self.redraw()

    # --------------------------------------------------------------------------
    def redraw(self):
        """
        Redraw the canvas when e.g. the canvas size has changed
        """
        self.mplwidget.redraw()

    # --------------------------------------------------------------------------
    def zplane(self, b=None, a=1, z=None, p=None, k=1,  pn_eps=1e-3, analog=False,
               plt_ax=None, plt_poles=True, style='equal', anaCircleRad=0, lw=2,
               mps=10, mzs=10, mpc='r', mzc='b', plabel='', zlabel=''):
        """
        Plot the poles and zeros in the complex z-plane either from the
        coefficients (`b,`a) of a discrete transfer function `H`(`z`) (zpk = False)
        or directly from the zeros and poles (z,p) (zpk = True).

        When only b is given, an FIR filter with all poles at the origin is assumed.

        Parameters
        ----------
        b :  array_like
             Numerator coefficients (transversal part of filter)
             When b is not None, poles and zeros are determined from the coefficients
             b and a

        a :  array_like (optional, default = 1 for FIR-filter)
             Denominator coefficients (recursive part of filter)

        z :  array_like, default = None
             Zeros
             When b is None, poles and zeros are taken directly from z and p

        p :  array_like, default = None
             Poles

        analog : boolean (default: False)
            When True, create a P/Z plot suitable for the s-plane, i.e. suppress
            the unit circle (unless anaCircleRad > 0) and scale the plot for
            a good display of all poles and zeros.

        pn_eps : float (default : 1e-2)
             Tolerance for separating close poles or zeros

        plt_ax : handle to axes for plotting (default: None)
            When no axes is specified, the current axes is determined via plt.gca()

        plt_poles : Boolean (default : True)
            Plot poles. This can be used to suppress poles for FIR systems
            where all poles are at the origin.

        style : string (default: 'scaled')
            Style of the plot, for `style == 'scaled'` make scale of x- and y-
            axis equal, `style == 'equal'` forces x- and y-axes to be equal. This
            is passed as an argument to the matplotlib `ax.axis(style)`

        mps : integer  (default: 10)
            Size for pole marker

        mzs : integer (default: 10)
            Size for zero marker

        mpc : char (default: 'r')
            Pole marker colour

        mzc : char (default: 'b')
            Zero marker colour

        lw : integer (default:  2)
            Linewidth for unit circle

        plabel, zlabel : string (default: '')
            This string is passed to the plot command for poles and zeros and
            can be displayed by legend()


        Returns
        -------
        z, p, k : ndarray


        Notes
        -----
        """
        # TODO:
        # - polar option
        # - add keywords for color of circle -> **kwargs
        # - add option for multi-dimensional arrays and zpk data

        # make sure that all inputs are (at least 1D) arrays
        b = np.atleast_1d(b)
        a = np.atleast_1d(a)
        z = np.atleast_1d(z)
        p = np.atleast_1d(p)

        if b.any():  # coefficients were specified
            if len(b) < 2 and len(a) < 2:
                logger.error('No proper filter coefficients: both b and a are scalars!')
                return z, p, k

            # The coefficients are less than 1, normalize the coefficients
            if np.max(b) > 1:
                kn = np.max(b)
                b = b / float(kn)
            else:
                kn = 1.

            if np.max(a) > 1:
                kd = np.max(a)
                a = a / abs(kd)
            else:
                kd = 1.

            # Calculate the poles, zeros and scaling factor
            p = np.roots(a)
            z = np.roots(b)
            k = kn/kd
        elif not (len(p) or len(z)):  # P/Z were specified
            logger.error('Either b,a or z,p must be specified!')
            return z, p, k

        # find multiple poles and zeros and their multiplicities
        if len(p) < 2:  # single pole, [None] or [0]
            if not p or p == 0:  # only zeros, create equal number of poles at origin
                p = np.array(0, ndmin=1)
                num_p = np.atleast_1d(len(z))
            else:
                num_p = [1.]  # single pole != 0
        else:
            # p, num_p = sig.signaltools.unique_roots(p, tol = pn_eps, rtype='avg')
            p, num_p = unique_roots(p, tol=pn_eps, rtype='avg')
    #        p = np.array(p); num_p = np.ones(len(p))
        if len(z) > 0:
            z, num_z = unique_roots(z, tol=pn_eps, rtype='avg')
    #        z = np.array(z); num_z = np.ones(len(z))
            # z, num_z = sig.signaltools.unique_roots(z, tol = pn_eps, rtype='avg')
        else:
            num_z = []

        if analog is False:
            # create the unit circle for the z-plane
            uc = patches.Circle((0, 0), radius=1, fill=False,
                                color='grey', ls='solid', zorder=1)
            plt_ax.add_patch(uc)
            plt_ax.axis(style)
        #    ax.spines['left'].set_position('center')
        #    ax.spines['bottom'].set_position('center')
        #    ax.spines['right'].set_visible(True)
        #    ax.spines['top'].set_visible(True)

        else:  # s-plane
            if anaCircleRad > 0:
                # plot a circle with radius = anaCircleRad
                uc = patches.Circle((0, 0), radius=anaCircleRad, fill=False,
                                    color='grey', ls='solid', zorder=1)
                plt_ax.add_patch(uc)
            # plot real and imaginary axis
            plt_ax.axhline(lw=2, color='k', zorder=1)
            plt_ax.axvline(lw=2, color='k', zorder=1)

        # Plot the zeros
        plt_ax.scatter(z.real, z.imag, s=mzs*mzs, zorder=2, marker='o',
                       facecolor='none', edgecolor=mzc, lw=lw, label=zlabel)
        # and print their multiplicity
        for i in range(len(z)):
            logger.debug('z: {0} | {1} | {2}'.format(i, z[i], num_z[i]))
            if num_z[i] > 1:
                plt_ax.text(np.real(z[i]), np.imag(z[i]), '  (' + str(num_z[i]) + ')',
                            va='top', color=mzc)
        if plt_poles:
            # Plot the poles
            plt_ax.scatter(p.real, p.imag, s=mps*mps, zorder=2, marker='x',
                           color=mpc, lw=lw, label=plabel)
            # and print their multiplicity
            for i in range(len(p)):
                logger.debug('p:{0} | {1} | {2}'.format(i, p[i], num_p[i]))
                if num_p[i] > 1:
                    plt_ax.text(np.real(p[i]), np.imag(p[i]), '  (' + str(num_p[i]) + ')',
                                va='bottom', color=mpc)

# =============================================================================
#            # increase distance between ticks and labels
#            # to give some room for poles and zeros
#         for tick in ax.get_xaxis().get_major_ticks():
#             tick.set_pad(12.)
#             tick.label1 = tick._get_text1()
#         for tick in ax.get_yaxis().get_major_ticks():
#             tick.set_pad(12.)
#             tick.label1 = tick._get_text1()
#
# =============================================================================
        xl = plt_ax.get_xlim()
        Dx = max(abs(xl[1]-xl[0]), 0.05)
        yl = plt_ax.get_ylim()
        Dy = max(abs(yl[1]-yl[0]), 0.05)

        plt_ax.set_xlim((xl[0]-Dx*0.02, max(xl[1]+Dx*0.02, 0)))
        plt_ax.set_ylim((yl[0]-Dy*0.02, yl[1] + Dy*0.02))

        return z, p, k

    # --------------------------------------------------------------------------
    def draw_contours(self, overlay):
        if overlay not in {"contour", "contourf"}:
            return
        self.ax.apply_aspect()  # normally, the correct aspect is only set when plotting
        xl = self.ax.get_xlim()
        yl = self.ax.get_ylim()
        # logger.warning(xl)
        # logger.warning(yl)

        [x, y] = np.meshgrid(
            np.arange(xl[0], xl[1], 0.01),
            np.arange(yl[0], yl[1], 0.01))
        z = x + 1j*y  # create coordinate grid for complex plane

        if self.but_log.isChecked():
            H_max = self.zmax_dB
            H_min = self.zmin_dB
        else:
            H_max = self.zmax
            H_min = self.zmin
        Hmag = H_mag(fb.fil[0]['ba'][0], fb.fil[0]['ba'][1], z, H_max, H_min=H_min,
                     log=self.but_log.isChecked())

        if overlay == "contour":
            self.ax.contour(x, y, Hmag, 20, alpha=0.5, cmap=self.cmap)
        else:
            self.ax.contourf(x, y, Hmag, 20, alpha=0.5, cmap=self.cmap)

        m_cb = cm.ScalarMappable(cmap=self.cmap)    # normalized proxy object that is
        m_cb.set_array(Hmag)                        # mappable for colorbar (?)
        self.col_bar = self.mplwidget.fig.colorbar(
            m_cb, ax=self.ax, shrink=1.0, aspect=40, pad=0.01, fraction=0.08)

        # Contour plots and color bar somehow mess up the coordinates:
        # restore to previous settings
        self.ax.set_xlim(xl)
        self.ax.set_xlim(yl)

    # --------------------------------------------------------------------------
    def draw_Hf(self, r=2, Hf_visible=True):
        """
        Draw the magnitude frequency response around the UC
        """
        self.diaRad_Hf.setVisible(Hf_visible)
        self.lblRad_Hf.setVisible(Hf_visible)
        if not Hf_visible:
            return

        # suppress "divide by zero in log10" warnings
        old_settings_seterr = np.seterr()
        np.seterr(divide='ignore')
        ba = fb.fil[0]['ba']
        w, H = sig.freqz(ba[0], ba[1], worN=params['N_FFT'], whole=True)
        H = np.abs(H)
        if self.but_log.isChecked():
            H = np.clip(np.log10(H), -6, None)  # clip to -120 dB
            H = H - np.max(H)  # shift scale to H_min ... 0
            H = 1 + (r-1) * (1 + H / abs(np.min(H)))  # scale to 1 ... r
        else:
            H = 1 + (r-1) * H / np.max(H)  # map |H(f)| to a range 1 ... r
        y = H * np.sin(w)
        x = H * np.cos(w)

        self.ax.plot(x, y, label="|H(f)|")
        uc = patches.Circle((0, 0), radius=r, fill=False,
                            color='grey', ls='dashed', zorder=1)
        self.ax.add_patch(uc)

        xl = self.ax.get_xlim()
        xmax = max(abs(xl[0]), abs(xl[1]), r*1.05)
        yl = self.ax.get_ylim()
        ymax = max(abs(yl[0]), abs(yl[1]), r*1.05)
        self.ax.set_xlim((-xmax, xmax))
        self.ax.set_ylim((-ymax, ymax))

        np.seterr(**old_settings_seterr)
コード例 #16
0
ファイル: tran_io_ui.py プロジェクト: tspiteri/pyfda
class Tran_IO_UI(QWidget):
    """
    Create the UI for the PlotImpz class
    """
    # incoming:
    sig_rx = pyqtSignal(object)
    # outgoing: from various UI elements to PlotImpz ('ui_changed':'xxx')
    sig_tx = pyqtSignal(object)

    from pyfda.libs.pyfda_qt_lib import emit

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

        logger.warning("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
        # elif 'view_changed' in dict_sig:
        #     if dict_sig['view_changed'] == 'f_S':
        #         self.recalc_freqs()

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

    def __init__(self, parent=None):
        """
        Pass instance `parent` of parent class (FilterCoeffs)
        """
        super(Tran_IO_UI, self).__init__(parent)
        self._construct_UI()

    def _construct_UI(self):
        # =====================================================================
        # Controls
        # =====================================================================

        self.butLoad = PushButton(self,
                                  icon=QIcon(':/file.svg'),
                                  checkable=False)
        # self.butLoad.setIconSize(q_icon_size)
        self.butLoad.setToolTip("Load data from file.")
        self.butLoad.setEnabled(False)

        self.lbl_info = QLabel(to_html("  coming soon ...", frmt="b"))

        # ----------------------------------------------------------------------
        # Main Widget
        # ----------------------------------------------------------------------
        layH_io_par = QHBoxLayout()
        layH_io_par.addWidget(self.butLoad)
        layH_io_par.addWidget(self.lbl_info)

        layV_io = QVBoxLayout()
        layV_io.addLayout(layH_io_par)

        layH_io = QHBoxLayout()
        layH_io.addLayout(layV_io)
        layH_io.addStretch(10)

        self.wdg_top = QWidget(self)
        self.wdg_top.setLayout(layH_io)
        self.wdg_top.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Minimum)