Example #1
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)
Example #2
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()
Example #3
0
    def _construct_UI(self):
        """
        Intitialize the widget, consisting of:
        - Matplotlib widget with NavigationToolbar
        - Frame with control elements
        """
        self.chkHf = QCheckBox("Show |H(f)|", self)
        self.chkHf.setToolTip(
            "<span>Display |H(f)| around unit circle.</span>")
        self.chkHf.setEnabled(True)

        self.chkHfLog = QCheckBox("Log. Scale", self)
        self.chkHfLog.setToolTip("<span>Log. scale for |H(f)|.</span>")
        self.chkHfLog.setEnabled(True)

        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.chkFIR_P = QCheckBox("Plot FIR Poles", self)
        self.chkFIR_P.setToolTip("<span>Show FIR poles at the origin.</span>")
        self.chkFIR_P.setChecked(True)

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.chkHf)
        layHControls.addWidget(self.chkHfLog)
        layHControls.addWidget(self.diaRad_Hf)
        layHControls.addWidget(self.lblRad_Hf)
        layHControls.addStretch(10)
        layHControls.addWidget(self.chkFIR_P)

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

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

        self.init_axes()

        self.draw()  # 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.chkHf.clicked.connect(self.draw)
        self.chkHfLog.clicked.connect(self.draw)
        self.diaRad_Hf.valueChanged.connect(self.draw)
        self.chkFIR_P.clicked.connect(self.draw)
Example #4
0
class Plot_PZ(QWidget):
    # incoming, connected in sender widget (locally connected to self.process_sig_rx() )
    sig_rx = pyqtSignal(object)

    def __init__(self, parent):
        super(Plot_PZ, self).__init__(parent)
        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=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.chkHf = QCheckBox("Show |H(f)|", self)
        self.chkHf.setToolTip(
            "<span>Display |H(f)| around unit circle.</span>")
        self.chkHf.setEnabled(True)

        self.chkHfLog = QCheckBox("Log. Scale", self)
        self.chkHfLog.setToolTip("<span>Log. scale for |H(f)|.</span>")
        self.chkHfLog.setEnabled(True)

        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.chkFIR_P = QCheckBox("Plot FIR Poles", self)
        self.chkFIR_P.setToolTip("<span>Show FIR poles at the origin.</span>")
        self.chkFIR_P.setChecked(True)

        layHControls = QHBoxLayout()
        layHControls.addWidget(self.chkHf)
        layHControls.addWidget(self.chkHfLog)
        layHControls.addWidget(self.diaRad_Hf)
        layHControls.addWidget(self.lblRad_Hf)
        layHControls.addStretch(10)
        layHControls.addWidget(self.chkFIR_P)

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

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

        self.init_axes()

        self.draw()  # 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.chkHf.clicked.connect(self.draw)
        self.chkHfLog.clicked.connect(self.draw)
        self.diaRad_Hf.valueChanged.connect(self.draw)
        self.chkFIR_P.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.get_xaxis().tick_bottom()  # remove axis ticks on top
        self.ax.get_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.chkFIR_P.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.chkFIR_P.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.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 == 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.chkHfLog.setVisible(self.chkHf.isChecked())
        self.diaRad_Hf.setVisible(self.chkHf.isChecked())
        self.lblRad_Hf.setVisible(self.chkHf.isChecked())
        if not self.chkHf.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.chkHfLog.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)
Example #5
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)
Example #6
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)