some python code to plot subplots in python

import matplotlib.pyplot as plt

import numpy as np

# Simple data to display in various forms

x = np.linspace(0, 2 * np.pi, 400)

y = np.sin(x ** 2)

plt.close('all')

# Just a figure and one subplot

f, ax = plt.subplots()

ax.plot(x, y)

ax.set_title('Simple plot')

# Two subplots, the axes array is 1-d

f, axarr = plt.subplots(2, sharex=True)

axarr[0].plot(x, y)

axarr[0].set_title('Sharing X axis')

axarr[1].scatter(x, y)

# Two subplots, unpack the axes array immediately

f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)

ax1.plot(x, y)

ax1.set_title('Sharing Y axis')

ax2.scatter(x, y)

# Three subplots sharing both x/y axes

f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)

ax1.plot(x, y)

ax1.set_title('Sharing both axes')

ax2.scatter(x, y)

ax3.scatter(x, 2 * y ** 2 - 1, color='r')

# Fine-tune figure; make subplots close to each other and hide x ticks for

# all but bottom plot.

f.subplots_adjust(hspace=0)

plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)

# row and column sharing

f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')

ax1.plot(x, y)

ax1.set_title('Sharing x per column, y per row')

ax2.scatter(x, y)

ax3.scatter(x, 2 * y ** 2 - 1, color='r')

ax4.plot(x, 2 * y ** 2 - 1, color='r')

# Four axes, returned as a 2-d array