![]() 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. 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 **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. subplot_kw : dict, optionalĭict with keywords passed to the GridSpecĬonstructor used to create the grid the subplots are placed on. Num : integer or string, optional, default: NoneĪ pyplot.figure keyword that sets the figure number or label. If False, no squeezing at all is done: the returned Axes object isĪlways a 2D array containing Axes instances, even if it ends up for NxM, subplots with N>1 and M>1 are returned as a 2D array.for Nx1 or 1xM subplots, the returned object is a 1D numpy.Resulting single Axes object is returned as a scalar. The plots it produces are often called lattice, trellis, or small-multiple graphics. This class maps a dataset onto multiple axes arrayed in a grid of rows and columns that correspond to levels of variables in the dataset. if only one subplot is constructed (nrows=ncols=1), the Initialize the matplotlib figure and FacetGrid object. ![]()
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