Matplotlib is library in python, developed as a language of programming based on  numpy and often interacting with pandas. John D. Hunter originally wrote the module and implemented and uploaded to the community. ‘As of 23 June 2017, matplotlib 2.0.x supports Python versions 2.7 through 3.6. Python3 support started with Matplotlib 1.2. Matplotlib 1.4 is the last version to support Python 2.6.’ (https://en.wikipedia.org/wiki/Matplotlib)

For some lde like Pycharm, we need to first install it before import the module: we can simply use pip install matplotlib.

Here are some plots that we can use matplotlib to plot.

(https://matplotlib.org/gallery/index.html)

Here is one examples of matplotlib (https://matplotlib.org/gallery/lines_bars_and_markers/bar_stacked.html#sphx-glr-gallery-lines-bars-and-markers-bar-stacked-py)

‘

import numpy as np
import matplotlib.pyplot as plt


N = 5
menMeans = (20, 35, 30, 35, 27)
womenMeans = (25, 32, 34, 20, 25)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
ind = np.arange(N)    # the x locations for the groups
width = 0.35       # the width of the bars: can also be len(x) sequence

p1 = plt.bar(ind, menMeans, width, yerr=menStd)
p2 = plt.bar(ind, womenMeans, width,
             bottom=menMeans, yerr=womenStd)

plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
plt.yticks(np.arange(0, 81, 10))
plt.legend((p1[0], p2[0]), ('Men', 'Women'))

plt.show()

‘

Reference:

https://matplotlib.org/gallery/index.html

https://en.wikipedia.org/wiki/Matplotlib

https://matplotlib.org/gallery/lines_bars_and_markers/bar_stacked.html#sphx-glr-gallery-lines-bars-and-markers-bar-stacked-py