class PlotDepictor(Depictor): def __init__(self, datablock): super().__init__(datablock) self.plot = PlotItem() self.plot.addLegend() def add_line(self, y, name, x=None, color='w'): if x is None: x = range(len(y)) self.plot.plot(x, y, name=name, pen=color) def purge(self): self.plot = PlotItem()
class InteractiveImagePlot(ImageView): """ Allows to draw 2d numpy array in an interactive plot using a colormap""" def __init__(self, model, video_model=None, parent=None, colormap="inferno"): """ Sets the datamodel and optionally a videomodel that is used to print a time indicator according to its current frameself. Args: model: DataModel wrapping either 1d or 2d data video_model: VideoModel wrapping a video file parent: Parent QtWidget colormap: String describing matplotlib colormap """ self.view = PlotItem() super().__init__(view=self.view) self.model = model self.video_model = video_model self.print_indicator = False self.indicator = None # Get a colormap colormap = plt.cm.get_cmap( colormap) # cm.get_cmap("CMRmap")nipy_spectral colormap._init() self.lut = (colormap._lut * 255).view( np.ndarray ) # Convert matplotlib colormap from 0-1 to 0 -255 for Qt self.ui.histogram.hide() self.ui.roiBtn.hide() self.ui.menuBtn.hide() initial_data = self.model.get_data() if not isinstance(initial_data, type(None)): #Draw imagedata if possible try: self.print_data(initial_data) except: #It might be that the model contains data that is not displayable e.g. 1d pass def print_data(self, data): """ Prints data to dataplot Args: data: 2d float.64 numpy arrays containing values between 0 and 1 """ self.print_indicator = True self.imagedata = data self.setImage(self.imagedata) self.indicator_min = -200 self.indicator_max = 200 if self.video_model != None: pos = int(self.video_model.get_pos(datatype="motion")) self.indicator = self.view.plot( [pos, pos], [self.indicator_min, self.indicator_max], pen=pyqtgraph.mkPen(color=pyqtgraph.hsvColor(2), width=1)) def update(self, pos): """ Updates indicator position Args: pos: Int describing the current position of the indicator """ if self.print_indicator and self.indicator and not self.video_model == None: C = pyqtgraph.hsvColor(1) pen = pyqtgraph.mkPen(color=C, width=1) pos = int( self.video_model.get_pos(datatype=self.model.get_datatype())) self.indicator.setData([pos, pos], [self.indicator_min, self.indicator_max]) def updateImage(self, autoHistogramRange=True): """ Updates the image, setting the colormap""" super().updateImage(autoHistogramRange=autoHistogramRange) self.getImageItem().setLookupTable(self.lut) def setImage(self, *args, **kwargs): """ Sets the image and adjusts the initial view/zoom in the plot""" super().setImage(*args, **kwargs) self.view.disableAutoRange(axis=0) self.view.enableAutoRange(axis=1)
class SweepDataPlot(GraphicsView): GREEN = [0, 204, 153] BLUE = [100, 171, 246] RED = [221, 61, 53] PURPLE = [175, 122, 197] ASH = [52, 73, 94] GRAY = [178, 186, 187] COLORS = [BLUE, RED, GREEN, PURPLE, ASH, GRAY] if sys.platform == 'darwin': LW = 3 else: LW = 1.5 def __init__(self): GraphicsView.__init__(self) # create layout self.layout = pg.GraphicsLayout() self.layout.setContentsMargins(0, 0, 0, 0) self.layout.setSpacing(-1.) self.setBackground(None) self.setCentralItem(self.layout) # create axes and apply formatting axisItems = dict() for pos in ['bottom', 'left', 'top', 'right']: axisItems[pos] = AxisItem(orientation=pos, maxTickLength=-7) self.p = PlotItem(axisItems=axisItems) self.setTitle('Sweep data', fontScaling=1.3, color='k') self.layout.addItem(self.p) self.p.vb.setBackgroundColor('w') self.p.setContentsMargins(10, 10, 10, 10) for pos in ['bottom', 'left', 'top', 'right']: ax = self.p.getAxis(pos) ax.setZValue(0) # draw on top of patch ax.setVisible(True) # make all axes visible ax.setPen(width=self.LW * 2 / 3, color=0.5) # grey spines and ticks try: ax.setTextPen('k') # black text except AttributeError: pass ax.setStyle(autoExpandTextSpace=True, tickTextOffset=4) self.p.getAxis('top').setTicks([]) self.p.getAxis('top').setHeight(0) self.p.getAxis('right').setTicks([]) self.x_axis = self.p.getAxis('bottom') self.y_axis = self.p.getAxis('left') self.x_axis.setLabel('Voltage', units='V', color='k', size='12pt') self.y_axis.setLabel('Current', units='A', color='k', size='12pt') self.y_axis.setStyle(tickTextWidth=35) # set auto range and mouse panning / zooming self.p.enableAutoRange(x=True, y=True) self.p.setLimits(xMin=-1e20, xMax=1e20, yMin=-1e20, yMax=1e20) def suggestPadding(axis): length = self.p.vb.width() if axis == 0 else self.p.vb.height() if length > 0: if axis == 0: padding = 0 else: padding = np.clip(1. / (length**0.5), 0.02, 0.1) else: padding = 0.02 return padding self.p.vb.suggestPadding = suggestPadding # set default ranges to start self.p.setXRange(-10, 10) self.p.setYRange(-10, 10) # add legend self.legend = LegendItem(brush=fn.mkBrush(255, 255, 255, 150), labelTextColor='k', offset=(20, -20)) self.legend.setParentItem(self.p.vb) def clear(self): self.p.clear() # clear current plot self.legend.clear() # clear current legend def plot(self, sweep_data): self.clear() xdata = sweep_data.get_column(0) xdata_title = sweep_data.titles[0] ydata = sweep_data.values()[1:] # format plot according to sweep type unit = xdata_title.unit if xdata_title.has_unit() else 'a.u.' self.x_axis.setLabel(xdata_title.name, unit=unit) self.y_axis.setLabel('Current', unit='A') if sweep_data.params['sweep_type'] == 'transfer': self.setTitle('Transfer curve') self.p.setLogMode(x=False, y=True) self.legend.setOffset((20, -20)) # legend in bottom-left corner ydata = [np.abs(y) for y in ydata] elif sweep_data.params['sweep_type'] == 'output': self.setTitle('Output curve') self.p.setLogMode(x=False, y=False) self.legend.setOffset((-20, 20)) # legend in top-right corner ydata = [np.abs(y) for y in ydata] else: self.setTitle('Sweep curve') self.p.setLogMode(x=False, y=False) ydata = [np.abs(y) for y in ydata] # plot data self.lines = [] for y, c in zip(ydata, itertools.cycle(self.COLORS)): p = self.p.plot(xdata, y, pen=fn.mkPen(color=c, width=self.LW)) self.lines.append(p) # add legend for l, t in zip(self.lines, sweep_data.column_names[1:]): self.legend.addItem(l, str(t)) self.p.autoRange() def setTitle(self, text, fontScaling=None, color=None, font=None): # work around pyqtplot which forces the title to be HTML if text is None: self.p.setTitle(None) # clears title and hides title column else: self.p.setTitle( '') # makes title column visible, sets placeholder text self.p.titleLabel.item.setPlainText( text) # replace HTML with plain text if color is not None: color = fn.mkColor(color) self.p.titleLabel.item.setDefaultTextColor(color) if font is not None: self.p.titleLabel.item.setFont(font) if fontScaling is not None: font = self.p.titleLabel.item.font() defaultFontSize = QtWidgets.QLabel('test').font().pointSize() fontSize = round(defaultFontSize * fontScaling, 1) font.setPointSize(fontSize) self.p.titleLabel.item.setFont(font)
def make_plot_item_pg(plot_item: PlotItem, *args, **kwargs): item = plot_item.plot(*args, **kwargs) yield item plot_item.removeItem(item)