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  1. The subplot() Function. The subplot() function takes three arguments that describes the layout of the figure. The layout is organized in rows and columns, which are represented by the first and second argument. The third argument represents the index of the current plot.

  2. May 20, 2022 · subplot() function adds subplot to a current figure at the specified grid position. It is similar to the subplots() function however unlike subplots() it adds one subplot at a time. So to create multiple plots you will need several lines of code with the subplot() function.

  3. matplotlib.pyplot.subplot# matplotlib.pyplot. subplot (* args, ** kwargs) [source] # Add an Axes to the current figure or retrieve an existing Axes. This is a wrapper of Figure.add_subplot which provides additional behavior when working with the implicit API (see the notes section). Call signatures:

  4. The pyplot version returns both the Figure object and an array of Axes. Note that fig, ax = plt.subplots() adds a single Axes to a Figure. pyplot.subplot_mosaic and Figure.subplot_mosaic: add a grid of named Axes and return a dictionary of axes.

    • What is a subplot() function?1
    • What is a subplot() function?2
    • What is a subplot() function?3
    • What is a subplot() function?4
    • Stacking Subplots in One Direction
    • Stacking Subplots in Two Directions
    • Sharing Axis
    • Polar Axis

    In this example, we will plot two plots that share the y-axis. The nrows and ncols parameters are set to 1 and 2 respectively, which means the plot will have 1 row and 2 columns or 2 subplots. We can access these subplots using the index and . Output:

    This example is similar to the previous one. The only difference is that we provided the values of nrows and ncols to 2. This means that the plot is divided into 2 rows and 2 columns which gives us a total of 4 subplots matplotlib. We can access these plots using the index. Output:

    In this example, we will plot the graphs that share the same axis. We will create plots that will share the y-axis and the label but will have their own x-axis and label. This can be done by passing a value to the ‘num’ parameter of the subplot() function. The ‘sharex’ parameter is set to True, which means the plots created will share X-axis among ...

    In this example, we will plot the graphs using the polar coordinates. The subplot_kw parameter of the subplot() function is given a dictionary value of projection set to ‘polar’ which tells the subplot() function to create a polar graph. Output:

  5. matplotlib.pyplot.subplots #. matplotlib.pyplot.subplots(nrows=1, ncols=1, *, sharex=False, sharey=False, squeeze=True, width_ratios=None, height_ratios=None, subplot_kw=None, gridspec_kw=None, **fig_kw)[source] #. Create a figure and a set of subplots.

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  7. In Matplotlib, subplots enable you to create multiple plots within a single figure, allowing for side-by-side or grid-based visualizations. For example, consider the following program where we create two subplots horizontally in a row.

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