Example 1: matplotlib multiple plots with different size
import numpy as np
import matplotlib.pyplot as plt
# generate some data
x = np.arange(0, 10, 0.2)
y = np.sin(x)
# plot it
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [3, 1]})
a0.plot(x, y)
a1.plot(y, x)
f.tight_layout()
f.savefig('grid_figure.pdf')
Example 2: show multiple plots python
#One way to plot two figure at once
f = plt.figure(1)
plt.plot([1,2],[2,3])
f.show()
g = plt.figure(2)
plt.plot([2,7,3],[5,1,9])
g.show()
Example 3: matplotlib multiple plots
fig = plt.figure()
# total_rows, total_columns, subplot_index(1st, 2nd, etc..)
plt.subplot(2, 2, 1)
plt.plot(x, y)
plt.subplot(2, 2, 2)
plt.plot(x, y)
plt.subplot(2, 2, 3)
plt.plot(x, y)
plt.subplot(2, 2, 4)
plt.plot(x, y)
Example 4: multiple plot in one figure python
import matplotlib.pyplot as plt
plt.plot(<X AXIS VALUES HERE>, <Y AXIS VALUES HERE>, 'line type', label='label here')
plt.plot(<X AXIS VALUES HERE>, <Y AXIS VALUES HERE>, 'line type', label='label here')
plt.legend(loc='best')
plt.show()