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Matplotlib Tutorial Part 15 - Subplots



In [16]:

    
%matplotlib inline
import matplotlib.pyplot as plt
from random import randint

Generate Random Data Function



In [17]:

    
def generate_data(x=10,ran=9):
    raw = (randint(0,ran) for _ in range(x))
    return zip(*enumerate(raw))

Using a 2x1 Add_Subplot Method



In [18]:

    
fig = plt.figure(figsize=(17,9))

ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)

x, y = generate_data()
ax1.plot(x,y)

x, y = generate_data()
ax2.plot(x,y)

plt.show()

Using a 2x2 Add_Subplot Method



In [19]:

    
fig = plt.figure(figsize=(17,9))

ax1 = fig.add_subplot(221)
ax2 = fig.add_subplot(222)
ax3 = fig.add_subplot(212)

x, y = generate_data()
ax1.plot(x,y)

x, y = generate_data()
ax2.plot(x,y)

x, y = generate_data()
ax3.plot(x,y)

plt.show()

Usign a 3x1 Subplot2Grid Method



In [20]:

    
fig = plt.figure(figsize=(17,9))

ax1 = plt.subplot2grid((6,1),(0,0),rowspan=1,colspan=1)
ax2 = plt.subplot2grid((6,1),(1,0),rowspan=4,colspan=1)
ax3 = plt.subplot2grid((6,1),(5,0),rowspan=1,colspan=1)

x, y = generate_data()
ax1.plot(x,y)

x, y = generate_data()
ax2.plot(x,y)

x, y = generate_data()
ax3.plot(x,y)

plt.show()

Previous Part: Annotations and Placing Text

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