python subplot

# First create some toy data: x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) # Create just a figure and only one subplot fig, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') # Create two subplots and unpack 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) # Create four polar axes and access them through the returned array fig, axs = plt.subplots(2, 2, subplot_kw=dict(polar=True)) axs[0, 0].plot(x, y) axs[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) # Create figure number 10 with a single subplot # and clears it if it already exists. fig, ax = plt.subplots(num=10, clear=True)

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)

fig, axs = plt.subplots(2, 2) axs[0, 0].plot(x, y) axs[0, 0].set_title('Axis [0, 0]') axs[0, 1].plot(x, y, 'tab:orange') axs[0, 1].set_title('Axis [0, 1]') axs[1, 0].plot(x, -y, 'tab:green') axs[1, 0].set_title('Axis [1, 0]') axs[1, 1].plot(x, -y, 'tab:red') axs[1, 1].set_title('Axis [1, 1]') for ax in axs.flat: ax.set(xlabel='x-label', ylabel='y-label') # Hide x labels and tick labels for top plots and y ticks for right plots. for ax in axs.flat: ax.label_outer()

# using the variable ax for single a Axes fig, ax = plt.subplots() # using the variable axs for multiple Axes fig, axs = plt.subplots(2, 2) # using tuple unpacking for multiple Axes fig, (ax1, ax2) = plt.subplot(1, 2) fig, ((ax1, ax2), (ax3, ax4)) = plt.subplot(2, 2)

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)

Posted by: Guest on February-08-2020

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