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  1. You can control the visible range of your plot in Matplotlib by setting the x-axis and y-axis limits. This is useful for zooming into a specific region or ensuring consistent scales across multiple plots.

    Example:

    import matplotlib.pyplot as plt
    import numpy as np

    x = np.arange(0, 10, 0.1)
    y = np.sin(x)

    plt.plot(x, y, color='blue', label='Sine Wave')

    # Set axis ranges
    plt.xlim(2, 6) # X-axis from 2 to 6
    plt.ylim(-0.5, 1) # Y-axis from -0.5 to 1

    plt.legend()
    plt.show()
    コピーしました。

    Here, plt.xlim() and plt.ylim() directly set the visible range for each axis.

    Using Pyplot Functions (plt.xlim, plt.ylim) These are quick ways to set axis limits when working in a simple script:

    plt.xlim(min_x, max_x)
    plt.ylim(min_y, max_y)
    コピーしました。

    You can also set one bound and leave the other as None:

    plt.ylim(bottom=-1, top=None)
    コピーしました。

    This keeps the top limit automatic while fixing the bottom.

    Using Object-Oriented Methods (ax.set_xlim, ax.set_ylim) When working with subplots or more complex figures:

    フィードバック
    ありがとうございました!詳細をお聞かせください
  2. How to Set Axis Range (xlim, ylim) in Matplotlib - Stack Abuse

    • To adjust the axis range, you can use the xlim and ylim functions. These functions can be accessed either through the PyPlot instance or the Axesinstance.
    stackabuse.com でさらに表示
  3. 他の人も質問しています
  4. python - How to set the axis limits in Matplotlib? - Stack …

    As far as I know, plt.ylim() applies the limits to the current axes, which are set when you do plt.subplot(). I also can't believe that plt.subplot() care about how the axes …

    コード サンプル

    fig, axes = plt.subplot()
    axes.plot(data[:,0], data[:,1])
    xlim = axes.get_xlim()
    factor = 0.1
    new_xlim = (xlim[0] + xlim[1])/2 + np.array((-0.5, 0.5)) * (xlim[1] - xlim[0]) * (1 + factor)...
    stackoverflow についてさらに表示
    フィードバック
    ありがとうございました!詳細をお聞かせください
  5. How to Set Axis Range in Matplotlib? - Python Guides

    • さらに表示

    2025年7月18日 · Learn how to easily set and customize axis ranges in Matplotlib with practical examples tailored for Python developers working on US-based data visualizations.

  6. matplotlib.axes.Axes.set_xlim — Matplotlib 3.10.8 …

    Limits may be passed in reverse order to flip the direction of the x-axis. For example, suppose x represents the number of years before present. The x-axis …

  7. How to set x axis range in matplotlib - Altcademy Blog

    2024年1月19日 · One of the simplest ways to set the x-axis range is by using the xlim method. It allows you to specify the lower and upper limits of your x-axis. In the code above, plt.xlim(2, 8) sets the x-axis …

  8. How to Set Axis Ranges in Matplotlib - Statology

    2021年7月15日 · This tutorial explains how to set the axis range for both the x-axis and y-axis in Matplotlib, including examples.

  9. Set Axis Range (axis limits) in Matplotlib Plots

    You can use the maplotlib.pyplot ‘s xlim() and ylim() functions to set the axis ranges for the x-axis and the y-axis respectively. Pass the axis range (axis limits) as a …

  10. How to set axis range/limit (xlim, ylim) in Matplotlib?

    2023年7月19日 · Matplotlib | Setting axis limit: In this tutorial, we will learn to set axis range/limit (xlim, ylim) in Matplotlib using multiple approaches with examples.

  11. How to change the range of the X-axis and Y-axis in …

    How to change the range of the X-axis and Y-axis in Matplotlib? To change the range of X and Y axes, we can use xlim () and ylim () methods. Set the figure size …