source: sasview/src/sas/qtgui/Plotter.py @ 1042dba

import sys
from PyQt4 import QtGui

# Replace the qt4agg calls below with qt5 equivalent.
# Requires some code modifications.
# https://www.boxcontrol.net/embedding-matplotlib-plot-on-pyqt5-gui.html
#
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt

import random

class Plotter(QtGui.QDialog):
    def __init__(self, parent=None):
        super(Plotter, self).__init__(parent)

        # a figure instance to plot on
        self.figure = plt.figure()

        # this is the Canvas Widget that displays the `figure`
        # it takes the `figure` instance as a parameter to __init__
        self.canvas = FigureCanvas(self.figure)

        # this is the Navigation widget
        # it takes the Canvas widget and a parent
        self.toolbar = NavigationToolbar(self.canvas, self)

        # set the layout
        layout = QtGui.QVBoxLayout()
        layout.addWidget(self.canvas)
        layout.addWidget(self.toolbar)
        self.setLayout(layout)

        # defaults
        self._current_plot = 111
        self._data = []
        self._title = "Plot"
        self._id = ""
        self._xlabel = "X"
        self._ylabel = "Y"
        self._ax = self.figure.add_subplot(self._current_plot)


    def data(self, data=None):
        """
        """
        self._data = data

    def title(self, title=""):
        """
        """
        self._title = title

    def id(self, id=""):
        """
        """
        self._id = id

    def x_label(self, xlabel=""):
        """
        """
        self._xlabel = xlabel

    def y_label(self, ylabel=""):
        """
        """
        self._ylabel = ylabel

    def clean(self):
        """
        """
        self.figure.delaxes(self._ax)
        self._ax = self.figure.add_subplot(self._current_plot)

    def plot(self):
        """
        plot self._data
        """
        # create an axis
        ax = self._ax

        # plot data with legend
        ax.plot(self._data.x, self._data.y, '*-', label=self._title)

        # Now add the legend with some customizations.
        legend = ax.legend(loc='lower left', shadow=True)

        ax.set_ylabel(self._ylabel)
        ax.set_xlabel(self._xlabel)

        ax.set_yscale('log')
        ax.set_xscale('log')

        # refresh canvas
        self.canvas.draw()