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  1. The plt.plot() function in Matplotlib is used to create 2D line plots. It connects data points with lines and allows customization of the plot’s appearance through parameters such as line styles and markers.

    Example

    import matplotlib.pyplot as plt
    import numpy as np

    x = np.linspace(0, 2 * np.pi, 100)
    y1, y2 = np.sin(x), np.cos(x)

    plt.plot(x, y1, label='Sin(x)', color='b')
    plt.plot(x, y2, label='Cos(x)', color='r', linestyle='--')
    plt.xlabel('X-axis')
    plt.ylabel('Y-axis')
    plt.title('Multiple Lines Plot')
    plt.legend()
    plt.show()
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    Customizing Plots

    You can customize the appearance of your plots using various parameters:

    • Line Style and Color: Use the fmt parameter to specify the format of the plot, defining the line style, marker, and color.

    • Labels and Titles: Add labels and titles using xlabel(), ylabel(), and title() functions.

    • Markers: Customize markers using the marker parameter to specify different marker styles.

    Plotting Multiple Sets of Data

    You can plot multiple sets of data by calling plot() multiple times or by specifying multiple sets of [x], y, [fmt] groups in a single call.

  1. Pyplot tutorial — Matplotlib 3.10.8 documentation

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    • contains: the hit testing function
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