subplots ( 2, 2, sharex = True, sharey = True ) # Creates figure number 10 with a single subplot # and clears it if it already exists. subplots ( 2, 2, sharex = 'all', sharey = 'all' ) # Note that this is the same as plt. subplots ( 2, 2, sharey = 'row' ) # Share both X and Y axes with all subplots plt. subplots ( 2, 2, sharex = 'col' ) # Share a Y axis with each row of subplots plt. scatter ( x, y ) # Share a X axis with each column of subplots plt. subplots ( 2, 2, subplot_kw = dict ( polar = True )) axes. scatter ( x, y ) # Creates four polar axes, and accesses them through the returned array fig, axes = plt. set_title ( 'Simple plot' ) # Creates two subplots and unpacks the output array immediately f, ( ax1, ax2 ) = plt. The integer that you provide to subplot is actually 3 parts: first digit: number of rows second digit: number of columns third digit: index So for each call to subplots we specify how the plot area should be divided (using rows and cols) and then which area to put the plot in (using index), see images below. sin ( x ** 2 ) # Creates just a figure and only one subplot fig, ax = plt. Theĭimensions of the resulting array can be controlled with the squeeze import matplotlib. subplots () has the following parameters: Example The following example returns a 1 x 2 grid of Axes with a pair of sinusoidal plots. **fig_kwĪll additional keyword arguments are passed to theįig : Figure ax : axes.Axes object or array of Axes objects.Īx can be either a single Axes object or anĪrray of Axes objects if more than one subplot was created. This method is an efficient way to create popular subplot layouts with a high-level and concise syntax. Change layout: (rows, columns) for the layout of subplots. subplot_kw : dict, optionalĭict with keywords passed to the GridSpecĬonstructor used to create the grid the subplots are placed on. Change figsize: a width of 5 and a height of 4 for each subplot is a good place to start. The Matlab behavior is explained in the Figure Setup - Displaying Multiple Plots per. The answer from Constantin is spot on but for more background this behavior is inherited from Matlab. loc(int, int) Row number and column number of the axis. Parameters: shape(int, int) Number of rows and of columns of the grid in which to place axis. Create a subplot at a specific location inside a regular grid. Alternative form for addsubplot (111) is addsubplot (1, 1, 1). 2grid(shape, loc, rowspan1, colspan1, figNone, kwargs) source. Num : integer or string, optional, default: NoneĪ pyplot.figure keyword that sets the figure number or label. For example, '111' means '1x1 grid, first subplot' and '234' means '2x3 grid, 4th subplot'. If False, no squeezing at all is done: the returned Axes object isĪlways a 2D array containing Axes instances, even if it ends up
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