We can also give the title to each subplot in the figure in the matplotlib by specifying the title text in the () function with each subplot commands individually. Matplotlib subplot title overall Matplotlib subplot title for each plot Let’s do some examples to practice the concepts: # Import necessary libraries For example, (437) is the same as (4, 3, 7) in python, where a plot is added in a figure having 4 rows and 3 columns, and the plot is added to the 3rd-row’s 1st-column(at the 7th index). NOTE: The 3-digit integer can be passed in the () function, where the 3-digits represent the 3 parameters of the function. The returned axes is the subplot base class if the projection specified is rectilinear projection (default projection) and the returned axes is a subplot subclass of the base class, if the projection specified is polar projection.
This command returns the axes of the subplots as axes.SubplotBase (base class) or another subclass of the Axes.There are some other optional parameters like label, projection, sharex, sharey, polar, etc.For example, subplots(6, 2, (1, 4)) will fill the upper 1/3rd (i.e., 4/6th) part of the figure. idx can also be specified as a tuple of two integers specfying the first and last indices including the last index in the grid.The index starts from 1 at the upper-left corner and increases to the right. idx specifies the index position of the plot on the grid.ncols specifies the number of columns in the grid, drawn on the figure for subplots.nrows specifies the number of rows in the grid, drawn on the figure for subplots.
The syntax is as follows: (nrows, ncols, idx ) We can create a figure with multiple subplots using the () function in python. Matplotlib provides the feature to create a figure with multiple plots in a single call, with proper control over each plot in the figure, individually.
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