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2. matplotlib.pyplot.subplots — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots.html

   This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. Parameters: nrows, ncolsint, default: 1. Number of rows/columns of the subplot grid. sharex, shareybool or {'none', 'all', 'row', 'col'}, default: False.

3. matplotlib.pyplot.subplot — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html

   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).

4. Creating multiple subplots using plt.subplots — Matplotlib 3.9.2...

   matplotlib.org/stable/gallery/subplots_axes_and_figures/subplots_demo.html

   pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.add_subplot for adding subplots at arbitrary locations within the figure.

5. matplotlib.figure.Figure.add_subplot — Matplotlib 3.9.2...

   matplotlib.org/stable/api/_as_gen/matplotlib.figure.Figure.add_subplot.html

   index can also be a two-tuple specifying the (first, last) indices (1-based, and including last) of the subplot, e.g., fig.add_subplot(3, 1, (1, 2)) makes a subplot that spans the upper 2/3 of the figure.

6. Matplotlib documentation — Matplotlib 3.9.2 documentation

   matplotlib.org/stable

   Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations.

7. matplotlib.pyplot — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/api/pyplot_summary.html

   matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI manager. pyplot is mainly intended for interactive plots and simple cases of programmatic plot generation:

8. matplotlib.figure — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/api/figure_api.html

   See Complex and semantic figure composition (subplot_mosaic) for an example and full API documentation. Parameters: mosaic list of list of {hashable or nested} or str. A visual layout of how you want your Axes to be arranged labeled as strings. For example

9. Introduction to Axes (or Subplots) — Matplotlib 3.9.2...

   matplotlib.org/stable/users/explain/axes/axes_intro.html

   See the API documentation for a full curated list, and Plot types for examples. A basic example is axes.Axes.plot : fig , ax = plt . subplots ( figsize = ( 4 , 3 )) np . random . seed ( 19680801 ) t = np . arange ( 100 ) x = np . cumsum ( np . random . randn ( 100 )) lines = ax . plot ( t , x )

10. matplotlib.pyplot.plot — Matplotlib 3.9.2 documentation

    matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot

    The most straight forward way is just to call plot multiple times. Example: >>> plot(x1, y1, 'bo') >>> plot(x2, y2, 'go') Copy to clipboard. If x and/or y are 2D arrays, a separate data set will be drawn for every column. If both x and y are 2D, they must have the same shape.

11. Easily creating subplots — Matplotlib 3.3.4 documentation

    matplotlib.org/3.3.4/gallery/recipes/create_subplots.html

    Easily creating subplots¶ In early versions of matplotlib, if you wanted to use the pythonic API and create a figure instance and from that create a grid of subplots, possibly with shared axes, it involved a fair amount of boilerplate code.