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Matplotlib subplot shared title11/9/2023 ![]() 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. By default, the subplot number is incremented by. set_title ( 'Simple plot' ) # Creates two subplots and unpacks the output array immediately f, ( ax1, ax2 ) = plt. If you add subplots one-by-one with addsubplot, you can manually specify the number with the number keyword. 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. Combining two subplots using subplots and GridSpec Using Gridspec to make multi-column/row subplot layouts Nested Gridspecs Invert Axes Managing multiple figures in pyplot Secondary Axis Sharing axis limits and views Shared axis Figure subfigures Multiple subplots Subplots spacings and margins Creating multiple subplots using plt.for Nx1 or 1xM subplots, the returned object is a 1D numpy.Resulting single Axes object is returned as a scalar. if only one subplot is constructed (nrows=ncols=1), the. ![]() set_title ( 'Simple plot' ) # Creates two subplots and unpacks the output array immediately f, ( ax1, ax2 ) = plt.
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