matplotlib example matplotlib smooth (snippet)

Python matplotlib example 'matplotlib smooth'

Modules used in program:

import matplotlib.pyplot as plt
import matplotlib
import random
import numpy as np
import sys

python matplotlib smooth

Python matplotlib example: matplotlib smooth

# !/usr/bin/env python
# -*- coding: utf-8 -*-

import sys
import numpy as np
import random
import matplotlib

matplotlib.use("Qt4Agg")
from matplotlib.backends import qt_compat

use_pyside = qt_compat.QT_API == qt_compat.QT_API_PYSIDE
if use_pyside:
    from PySide import QtGui, QtCore
else:
    from PyQt4 import QtGui

from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt


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

        self.figure = plt.figure()
        self.canvas = FigureCanvas(self.figure)

        self.toolbar = NavigationToolbar(self.canvas, self)
        self.toolbar.hide()

        # Just some button
        self.button = QtGui.QPushButton('Plot')
        self.button.clicked.connect(self.plot)

        self.button1 = QtGui.QPushButton('Zoom')
        self.button1.clicked.connect(self.zoom)

        self.button2 = QtGui.QPushButton('Pan')
        self.button2.clicked.connect(self.pan)

        self.button3 = QtGui.QPushButton('Home')
        self.button3.clicked.connect(self.home)

        # set the layout
        layout = QtGui.QVBoxLayout()
        layout.addWidget(self.toolbar)
        layout.addWidget(self.canvas)
        layout.addWidget(self.button)
        layout.addWidget(self.button1)
        layout.addWidget(self.button2)
        layout.addWidget(self.button3)
        self.setLayout(layout)
        self.plot()

    def home(self):
        self.toolbar.home()

    def zoom(self):
        self.toolbar.zoom()

    def pan(self):
        self.toolbar.pan()

    def plot(self):
        self.figure.clf()

        data = [random.random() * 10 for i in range(10)]
        x = [i for i in range(10)]


        from scipy.interpolate import spline
        data = np.array(data)
        x = np.array(x)
        print(x, data)

        x_smooth = np.linspace(x.min(), x.max(), num=200)
        data_smooth = spline(x, data, x_smooth)
        print(x_smooth, data_smooth)

        ax = self.figure.add_subplot(111)
        ax.hold(True)
        ax.plot(x, data, '.-')

        bx = self.figure.add_subplot(111)
        bx.hold(True)
        bx.plot(x_smooth, data_smooth, '.-')

        self.canvas.draw()


if __name__ == '__main__':
    app = QtGui.QApplication(sys.argv)

    main = Window()
    main.show()

    sys.exit(app.exec_())

Python links

Learn Python: https://pythonbasics.org/
Python Tutorial: https://pythonprogramminglanguage.com