Share axes in matplotlib for only part of the subplots

Share axes in matplotlib for only part of the subplots

In Matplotlib, you can share axes for only part of the subplots by using the gridspec module. The idea is to create a layout that contains both shared and independent axes. Here's how you can achieve this:

import matplotlib.pyplot as plt from matplotlib.gridspec import GridSpec # Create a 2x3 grid layout fig = plt.figure(figsize=(10, 6)) gs = GridSpec(2, 3, width_ratios=[1, 1, 1.5], height_ratios=[1, 1]) # Create subplots and share axes for the first row ax1 = plt.subplot(gs[0, 0]) ax2 = plt.subplot(gs[0, 1], sharey=ax1) ax3 = plt.subplot(gs[0, 2], sharey=ax1) # Create an independent subplot for the second row ax4 = plt.subplot(gs[1, 0]) ax5 = plt.subplot(gs[1, 1]) ax6 = plt.subplot(gs[1, 2]) # Remove y tick labels for the shared y-axis subplots ax2.yaxis.set_ticklabels([]) ax3.yaxis.set_ticklabels([]) plt.tight_layout() plt.show()

In this example:

  • We're creating a 2x3 grid layout using GridSpec. The width ratio of the third column is set higher to accommodate more space for the shared y-axis.
  • We create subplots for each position using the gs[rows, columns] syntax.
  • The sharey parameter is used to specify which subplot shares the y-axis. Subplots in the first row share the y-axis.
  • We remove y tick labels for the subplots in the first row using ax2.yaxis.set_ticklabels([]) and ax3.yaxis.set_ticklabels([]).

This approach allows you to create a layout where some subplots share axes while others remain independent. You can adjust the layout, ratios, and other parameters according to your specific requirements.

Examples

  1. How to share axes in Matplotlib for a subset of subplots

    • To share axes for only part of the subplots, you can set specific subplots to share axes using subplot_kw or explicit axis sharing. This example demonstrates sharing x-axes for specific subplots:
    import matplotlib.pyplot as plt import numpy as np # Create a figure with multiple subplots fig, axs = plt.subplots(3, 2, sharex='col') # Share x-axis within each column # Generate data x = np.linspace(0, 10, 100) y = np.sin(x) # Plot data in subplots axs[0, 0].plot(x, y) axs[1, 0].plot(x, np.cos(x)) axs[2, 0].plot(x, np.tan(x)) # Share x-axis with the first two subplots axs[0, 1].plot(x, -y) # Do not share x-axis with these subplots axs[1, 1].plot(x, -np.cos(x)) axs[2, 1].plot(x, -np.tan(x)) plt.show()

  2. How to share y-axis in specific rows of Matplotlib subplots

    • To share the y-axis for specific subplots, you can explicitly set axis sharing when creating subplots. This example shows how to share y-axes for specific rows:
    import matplotlib.pyplot as plt import numpy as np # Create a figure with subplots and share y-axis for specific rows fig, axs = plt.subplots(2, 3, sharey='row') # Share y-axis within each row # Generate data x = np.linspace(0, 10, 100) y = np.sin(x) # Plot data in subplots axs[0, 0].plot(x, y) axs[0, 1].plot(x, np.cos(x)) # Share y-axis with the first subplot axs[0, 2].plot(x, np.tan(x)) # Share y-axis with the first two subplots axs[1, 0].plot(x, -y) # Do not share y-axis with these subplots axs[1, 1].plot(x, -np.cos(x)) axs[1, 2].plot(x, -np.tan(x)) plt.show()

  3. How to share axes in Matplotlib for specific subplots using GridSpec

    • You can use GridSpec to create subplots with more control over axis sharing. This example demonstrates sharing axes for specific subplots using GridSpec:
    import matplotlib.pyplot as plt import numpy as np from matplotlib.gridspec import GridSpec # Create a figure with GridSpec fig = plt.figure(figsize=(10, 6)) gs = GridSpec(2, 2, figure=fig) # Define subplots with GridSpec ax1 = fig.add_subplot(gs[0, 0]) # Independent subplot ax2 = fig.add_subplot(gs[0, 1], sharex=ax1) # Share x-axis with ax1 ax3 = fig.add_subplot(gs[1, 0], sharey=ax1) # Share y-axis with ax1 ax4 = fig.add_subplot(gs[1, 1]) # Independent subplot # Plot data x = np.linspace(0, 10, 100) y = np.sin(x) ax1.plot(x, y) ax2.plot(x, y * 2) ax3.plot(x, -y) ax4.plot(x, y * -2) plt.show()

  4. How to share axes for a subset of Matplotlib subplots in a grid

    • To share axes for a subset of subplots in a grid, you can create a layout and explicitly set axis sharing for specific subplots. This example demonstrates axis sharing for a grid layout:
    import matplotlib.pyplot as plt import numpy as np # Create a 2x3 grid of subplots fig, axs = plt.subplots(2, 3) # Share x-axis for the last two columns in the first row axs[0, 1].sharex(axs[0, 0]) # Share x-axis with the first subplot axs[0, 2].sharex(axs[0, 1]) # Share x-axis with the second subplot # Share y-axis for the first two columns in the second row axs[1, 1].sharey(axs[1, 0]) # Share y-axis with the fourth subplot axs[1, 2].sharey(axs[1, 1]) # Share y-axis with the fifth subplot # Plot data x = np.linspace(0, 10, 100) y = np.sin(x) axs[0, 0].plot(x, y) axs[0, 1].plot(x, y * 2) axs[0, 2].plot(x, y * 3) axs[1, 0].plot(x, -y) axs[1, 1].plot(x, -y * 2) axs[1, 2].plot(x, -y * 3) plt.show()

  5. How to share axes in Matplotlib for complex grid layouts

    • To create complex grid layouts with shared axes, you can combine GridSpec and subplot_kw parameters. This example demonstrates sharing axes for a complex grid layout:
    import matplotlib.pyplot as plt import numpy as np from matplotlib.gridspec import GridSpec # Create a figure with GridSpec and complex layout fig = plt.figure(figsize=(12, 8)) gs = GridSpec(3, 3, figure=fig) # Create subplots with specific axis sharing ax1 = fig.add_subplot(gs[0, 0]) # Independent subplot ax2 = fig.add_subplot(gs[0, 1:]) # Share x-axis with ax1 ax3 = fig.add_subplot(gs[1, :2], sharex=ax1) # Share x-axis with ax1 and ax2 ax4 = fig.add_subplot(gs[1, 2], sharey=ax1) # Share y-axis with ax1 ax5 = fig.add_subplot(gs[2, :], sharex=ax1) # Share x-axis with all previous # Generate data x = np.linspace(0, 10, 100) y = np.sin(x) # Plot data ax1.plot(x, y) ax2.plot(x, y * 2) ax3.plot(x, y * 3) ax4.plot(x, y * -1) ax5.plot(x, y * -2) plt.show()

  6. How to create shared x-axis for some subplots in Matplotlib

    • To share the x-axis for a subset of subplots, you can explicitly set the axis sharing when creating subplots. This example demonstrates sharing the x-axis for specific subplots:
    import matplotlib.pyplot as plt import numpy as np # Create subplots fig, axs = plt.subplots(2, 2) # Share x-axis for the first two subplots axs[0, 1].sharex(axs[0, 0]) # Share x-axis with the first subplot # Generate data x = np.linspace(0, 10, 100) y = np.cos(x) # Plot data axs[0, 0].plot(x, y) axs[0, 1].plot(x, y * 2) plt.show()

  7. How to share x-axis and y-axis for specific subplots in Matplotlib

    • To share both x-axis and y-axis for a subset of subplots, you can set axis sharing explicitly when creating subplots. This example shows how to share both axes for specific subplots:
    import matplotlib.pyplot as plt import numpy as np # Create a 3x3 grid of subplots fig, axs = plt.subplots(3, 3) # Share x-axis and y-axis for specific subplots axs[1, 0].sharex(axs[0, 0]) # Share x-axis with the top-left subplot axs[1, 0].sharey(axs[0, 0]) # Share y-axis with the top-left subplot axs[2, 0].sharex(axs[1, 0]) # Share x-axis with the middle-left subplot # Generate data x = np.linspace(0, 10, 100) y = np.tan(x) # Plot data axs[0, 0].plot(x, y) axs[1, 0].plot(x, y * 2) axs[2, 0].plot(x, y * 3) plt.show()

  8. How to share axes in Matplotlib with mixed axis sharing

    • To create mixed axis sharing, you can set specific axis sharing conditions for different rows and columns. This example demonstrates mixed axis sharing for a grid layout:
    import matplotlib.pyplot as plt import numpy as np # Create a 2x3 grid of subplots fig, axs = plt.subplots(2, 3) # Share x-axis for the entire first row for i in range(1, 3): axs[0, i].sharex(axs[0, 0]) # Share x-axis with the first subplot # Share y-axis for the entire second row for i in range(1, 3): axs[1, i].sharey(axs[1, 0]) # Share y-axis with the middle subplot # Generate data x = np.linspace(0, 10, 100) y = np.sin(x) # Plot data axs[0, 0].plot(x, y) axs[0, 1].plot(x, y * 2) axs[0, 2].plot(x, y * 3) axs[1, 0].plot(x, -y) axs[1, 1].plot(x, -y * 2) axs[1, 2].plot(x, -y * 3) plt.show()

  9. How to share x-axis in Matplotlib for stacked subplots

    • To share the x-axis for stacked subplots, you can create a vertical layout with shared axes. This example demonstrates sharing x-axis for stacked subplots:
    import matplotlib.pyplot as plt import numpy as np # Create a figure with stacked subplots fig, axs = plt.subplots(3, 1, sharex=True) # Share x-axis for all subplots # Generate data x = np.linspace(0, 10, 100) y = np.sin(x) # Plot data axs[0].plot(x, y) axs[1].plot(x, y * 2) axs[2].plot(x, y * 3) plt.show()

  10. How to control axis sharing in Matplotlib subplots for specific subplots

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