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PlotAndTableFunctions.py
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PlotAndTableFunctions.py
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"""This file should handle all the customized plotting and table widgets"""
import pyqtgraph as pg
import PyQt5.QtWidgets as qt
import PyQt5.QtGui as qtg
from matplotlib import cm
import numpy as np
from scipy.misc import face
class PlotWidget(pg.PlotWidget):
def __init__(self, parent):
super().__init__(parent)
self.setBackground('w')
self.getAxis('left').setPen('k')
self.getAxis('bottom').setPen('k')
self.getAxis('left').setTextPen('k')
self.getAxis('bottom').setTextPen('k')
self.xmin, self.xmax = 0., 1.
self.ymin, self.ymax = 0., 1.
def set_xlabel(self, label):
self.getAxis('bottom').setLabel(label)
def set_ylabel(self, label):
self.getAxis('left').setLabel(label)
def set_xmin(self, xmin):
self.setXRange(xmin, self.xmax)
self.xmin = xmin
def set_xmax(self, xmax):
self.setXRange(self.xmin, xmax)
self.xmax = xmax
def set_ymin(self, ymin):
self.setYRange(ymin, self.ymax)
self.ymin = ymin
def set_ymax(self, ymax):
self.setYRange(self.ymin, ymax)
self.ymax = ymax
def create_curve(color='b', width=2, x=None, y=None):
curve = pg.PlotDataItem(pen=pg.mkPen(color=color, width=width))
if (x is not None) and (y is not None):
curve.setData(x, y)
return curve
class PlotWindow:
def __init__(self, le_wl_ll, le_wl_ul, le_ll, le_ul, plotwidget):
le_wl_ll: qt.QLineEdit
le_wl_ul: qt.QLineEdit
le_ll: qt.QLineEdit
le_ul: qt.QLineEdit
plotwidget: PlotWidget
self.plotwidget = plotwidget
self.le_wl_ll = le_wl_ll
self.le_wl_ul = le_wl_ul
self.le_ll = le_ll
self.le_ul = le_ul
self.le_wl_ll.setValidator(qtg.QDoubleValidator())
self.le_wl_ul.setValidator(qtg.QDoubleValidator())
self.le_ll.setValidator(qtg.QDoubleValidator())
self.le_ul.setValidator(qtg.QDoubleValidator())
self.connect()
@property
def ymax(self):
return self.plotwidget.ymax
@ymax.setter
def ymax(self, ymax):
self.plotwidget.set_ymax(ymax)
@property
def ymin(self):
return self.plotwidget.ymin
@ymin.setter
def ymin(self, ymin):
self.plotwidget.set_ymin(ymin)
@property
def xmax(self):
return self.plotwidget.xmax
@xmax.setter
def xmax(self, xmax):
self.plotwidget.set_xmax(xmax)
@property
def xmin(self):
return self.plotwidget.xmin
@xmin.setter
def xmin(self, xmin):
self.plotwidget.set_xmin(xmin)
def update_xmax(self):
xmax = float(self.le_wl_ul.text())
self.xmax = xmax
def update_xmin(self):
xmin = float(self.le_wl_ll.text())
self.xmin = xmin
def update_ymax(self):
ymax = float(self.le_ul.text())
self.ymax = ymax
def update_ymin(self):
ymin = float(self.le_ll.text())
self.ymin = ymin
def connect(self):
self.le_ul.editingFinished.connect(self.update_ymax)
self.le_ll.editingFinished.connect(self.update_ymin)
self.le_wl_ul.editingFinished.connect(self.update_xmax)
self.le_wl_ll.editingFinished.connect(self.update_xmin)
def update_line_edits_to_properties(self):
self.le_ll.setText('%.3f' % self.ymin)
self.le_ul.setText('%.3f' % self.ymax)
self.le_wl_ll.setText('%.3f' % self.xmin)
self.le_wl_ul.setText('%.3f' % self.xmax)
def format_to_current_viewBox(self):
rect = self.plotwidget.viewRect()
self.xmin, self.xmax = rect.left(), rect.right()
self.ymin, self.ymax = rect.bottom(), rect.top()
self.update_line_edits_to_properties()
def format_to_curve(self, curve):
curve: pg.PlotDataItem
self.xmin, self.xmax = curve.xData[[0, -1]]
self.ymin, self.ymax = curve.yData[[0, -1]]
self.update_line_edits_to_properties()
def format_to_xy_data(self, x, y):
self.xmin, self.xmax = x[[0, -1]]
self.ymin, self.ymax = y[[0, -1]]
self.update_line_edits_to_properties()
def get_colormap(string):
pos = np.linspace(0, 1, 300)
lut = cm.get_cmap(string)(pos) * 255
return pos, lut
# The following should also be able to be passed in as an argument to the
# init function of PlotWindow (in place of PlotWidget) However, note the
# format_to_current_viewBox method will format it to something really big. I
# don't think I'll use that method but if you do you should change
# plotwidget.viewRect() to plotwidget.PlotItem.viewRect()
class ImageWithAxisWidget(pg.GraphicsLayoutWidget):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.show()
self.setBackground('w')
self.PlotItem = pg.PlotItem()
self.addItem(self.PlotItem)
self.PlotItem.getAxis('left').setPen('k')
self.PlotItem.getAxis('bottom').setPen('k')
self.PlotItem.getAxis('left').setTextPen('k')
self.PlotItem.getAxis('bottom').setTextPen('k')
self.ii = pg.ImageItem()
self.PlotItem.addItem(self.ii)
# self.plot_image()
self.xmin, self.xmax = 0., 1.
self.ymin, self.ymax = 0., 1.
def set_xlabel(self, label):
self.PlotItem.getAxis('bottom').setLabel(label)
def set_ylabel(self, label):
self.PlotItem.getAxis('left').setLabel(label)
def set_xmin(self, xmin):
self.PlotItem.setXRange(xmin, self.xmax)
self.xmin = xmin
def set_xmax(self, xmax):
self.PlotItem.setXRange(self.xmin, xmax)
self.xmax = xmax
def set_ymin(self, ymin):
self.PlotItem.setYRange(ymin, self.ymax)
self.ymin = ymin
def set_ymax(self, ymax):
self.PlotItem.setYRange(self.ymin, ymax)
self.ymax = ymax
def set_cmap(self, cmap='nipy_spectral'):
_, lut = get_colormap(cmap)
self.ii.setLookupTable(lut)
def scale_axes(self, x=np.array([0, 1]), y=np.array([0, 1]), format='xy'):
# reset the transformation or else each time you collect a spectrogram
# it shrinks the plot
self.ii.resetTransform()
xlims, ylims = x[[0, -1]], y[[0, -1]]
x0, y0 = xlims[0], ylims[0]
if format == 'ij':
yscale, xscale = len(x), len(y)
self.ii.translate(y0, x0)
self.ii.scale(np.diff(ylims) / yscale, np.diff(xlims) / xscale)
elif format == 'xy':
xscale, yscale = len(x), len(y)
self.ii.translate(x0, y0)
self.ii.scale(np.diff(xlims) / xscale, np.diff(ylims) / yscale)
else:
raise ValueError("format should be 'ij' or 'xy'")
def plot_image(self, data):
self.ii.setImage(data)