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    A grid plot in Matplotlib is a plot that includes grid lines to help visualize and reference data points more effectively. Grid lines can be customized in terms of visibility, color, line style, and width. The grid() function in the Pyplot module of Matplotlib is used to configure these grid lines.

    Adding Grid Lines to a Plot

    To add grid lines to a plot, you can use the grid() function. By default, this function sets the visibility of the grid lines to True. You can also specify additional parameters such as color, line width, and line style. Here is an example:

    import matplotlib.pyplot as plt
    import numpy as np

    x = np.linspace(0, 2 * np.pi, 400)
    y = np.sin(x ** 2)

    plt.plot(x, y, 'green')
    plt.title("Plot with Grid Lines")
    plt.grid(True, color='grey', linewidth=1.4, linestyle='-.')
    plt.show()

    In this example, the grid lines are set to be visible with a grey color, a line width of 1.4, and a dashed-dot line style.

    Customizing Grid Lines

    You can customize the grid lines further by specifying which grid lines to display (major, minor, or both) and which axis to apply the changes on (x, y, or both). Here are some examples:

    Displaying Grid Lines for the X-Axis Only

    import matplotlib.pyplot as plt
    import numpy as np
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    matplotlib.pyplot.grid — Matplotlib 3.10.1 documentation
    Matplotlib
    How to enable grid lines in Matplotlib?
    Grid lines are enabled using plt.grid (True), customized with grey color, linewidth of 1.4 and a dash-dot linestyle. Matplotlib allows us to display gridlines only for the x-axis or y-axis. 1. Display only grid lines for the x-axis Use axis=’x’ to enable grid lines only along the x-axis. Output
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