matplotlib subplots
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)
matplotlib subplots
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)
matplotlib subplots
# First create some toy data: x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) # Creates just a figure and only one subplot fig, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') # Creates two subplots and unpacks the output 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) # Creates four polar axes, and accesses them through the returned array fig, axes = plt.subplots(2, 2, subplot_kw=dict(polar=True)) axes[0, 0].plot(x, y) axes[1, 1].scatter(x, y) # Share a X axis with each column of subplots plt.subplots(2, 2, sharex='col') # Share a Y axis with each row of subplots plt.subplots(2, 2, sharey='row') # Share both X and Y axes with all subplots plt.subplots(2, 2, sharex='all', sharey='all') # Note that this is the same as plt.subplots(2, 2, sharex=True, sharey=True) # Creates figure number 10 with a single subplot # and clears it if it already exists. fig, ax=plt.subplots(num=10, clear=True)
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