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)
