Fixing x axis scale and autoscale y axis in matplotlib

Fixing x axis scale and autoscale y axis in matplotlib

To fix the x-axis scale and autoscale the y-axis in a Python plot, you can achieve this using libraries like matplotlib. Here's how you can do it:

import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30] # Create a plot plt.plot(x, y) # Fix the x-axis limits plt.xlim(1, 5) # Set the desired x-axis limits # Automatically scale the y-axis plt.ylim(auto=True) # Auto scale the y-axis # Add labels and title plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Fixed X-axis and Autoscaled Y-axis') # Show the plot plt.show()

In this example, the plt.xlim() function is used to fix the x-axis limits to the specified range (in this case, from 1 to 5). The plt.ylim(auto=True) call enables automatic scaling of the y-axis based on the data provided. By setting auto=True, the y-axis will automatically adjust to the data's range.

You can replace the sample data (x and y lists) with your actual data. Also, you can customize other aspects of the plot, such as labels, titles, and plot styles, as needed.

Remember to have matplotlib installed (pip install matplotlib) before running this code.

Examples

  1. "How to fix x-axis scale in matplotlib?" Description: Users may search for ways to fix or set the scale of the x-axis in a matplotlib plot.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with fixed x-axis scale plt.plot(x, y) plt.xlim(0, 10) # Set x-axis limits plt.show()

  2. "Matplotlib autoscale y-axis" Description: Users might want to automatically adjust the scale of the y-axis in a matplotlib plot to fit the data.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with autoscaled y-axis plt.plot(x, y) plt.autoscale(axis='y') # Autoscale y-axis plt.show()

  3. "How to set x-axis range in matplotlib?" Description: Users may want to explicitly set the range of values displayed on the x-axis in a matplotlib plot.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with custom x-axis range plt.plot(x, y) plt.xlim(0, 7) # Set custom x-axis range plt.show()

  4. "How to fix x-axis scale and autoscale y-axis in matplotlib?" Description: This query combines the requirements of fixing the x-axis scale while allowing the y-axis to autoscale based on the data.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with fixed x-axis scale and autoscaled y-axis plt.plot(x, y) plt.xlim(0, 10) # Fix x-axis scale plt.autoscale(axis='y') # Autoscale y-axis plt.show()

  5. "Matplotlib set x-axis limits" Description: Users might be specifically looking for how to set the limits of the x-axis in a matplotlib plot.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with customized x-axis limits plt.plot(x, y) plt.xlim(0, 6) # Set custom x-axis limits plt.show()

  6. "Fixing x-axis range and autoscale y-axis in matplotlib" Description: Users may want to fix the range of the x-axis while allowing the y-axis to dynamically adjust to the data in a matplotlib plot.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with fixed x-axis range and autoscaled y-axis plt.plot(x, y) plt.xlim(0, 8) # Fix x-axis range plt.autoscale(axis='y') # Autoscale y-axis plt.show()

  7. "Matplotlib set x-axis scale" Description: Users may be specifically interested in setting the scale of the x-axis in a matplotlib plot.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with customized x-axis scale plt.plot(x, y) plt.xscale('log') # Set logarithmic scale for x-axis plt.show()

  8. "How to adjust x-axis scale and autoscale y-axis in matplotlib?" Description: Users may seek guidance on simultaneously adjusting the scale of the x-axis and allowing the y-axis to autoscale.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with adjusted x-axis scale and autoscaled y-axis plt.plot(x, y) plt.xscale('symlog') # Adjust x-axis scale plt.autoscale(axis='y') # Autoscale y-axis plt.show()

  9. "Matplotlib fix x-axis range and autoscale y-axis" Description: This query emphasizes fixing the range of the x-axis while letting the y-axis autoscale based on the data in a matplotlib plot.

    import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] # Plot with fixed x-axis range and autoscaled y-axis plt.plot(x, y) plt.xlim(0, 7) # Fix x-axis range plt.autoscale(axis='y') # Autoscale y-axis plt.show()

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