The module pyqtgraph supports all kinds of charts and scientific graphics. Officially it’s the “Scientific Graphics and GUI Library for Python”. Underneath, pyqtgraph uses PyQt4 / PySide and numpy. Its been tested to work on Linux, Windows, and OSX.

In this article we’ll create an example bar chart. The output will be this awesome chart:

Related course:
Create PyQt Desktop Appications with Python (GUI)

pyqtgraph barchart

PyQtGraph is a pythpn graphics module built on top of PyQt and numpy. It’s end users are mathematicians, scientists and engineers. Lets do an example. We create the data to plot (x y1) first. y1 is a list of 20 floats that we create using the numpy method linspace.

Then create the barchart using the method BarGraphItem(), where the parameters are x, y, bar width and color.

# pyqtgraph examples : bar chart
# pythonprogramminglanguage.com
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtGui
import numpy as np

win = pg.plot()
win.setWindowTitle('pyqtgraph BarGraphItem')

# create list of floats
y1 = np.linspace(0, 20, num=20)

# create horizontal list
x = np.arange(20)

# create bar chart
bg1 = pg.BarGraphItem(x=x, height=y1, width=0.6, brush='r')
win.addItem(bg1)

## Start Qt event loop unless running in interactive mode or using 
if __name__ == '__main__':
    import sys
    if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
        QtGui.QApplication.instance().exec_()

Download PyQt Examples