update_xaxes ( title_text = "xaxis 2 title", range =, row = 1, col = 2 ) fig. update_xaxes ( title_text = "xaxis 1 title", row = 1, col = 1 ) fig.
Matplotlib subplot spacing update#
Scatter ( x =, y = ), row = 2, col = 2 ) # Update xaxis properties fig.
Scatter ( x =, y = ), row = 2, col = 1 ) fig. Scatter ( x =, y = ), row = 1, col = 2 ) fig. Scatter ( x =, y = ), row = 1, col = 1 ) fig.
From plotly.subplots import make_subplots import aph_objects as go # Initialize figure with subplots fig = make_subplots ( rows = 2, cols = 2, subplot_titles = ( "Plot 1", "Plot 2", "Plot 3", "Plot 4" ) ) # Add traces fig. subplots ( 2, 2, sharex = True, sharey = True ) # Create 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 )) axs. scatter ( x, y ) # Create four polar axes and access them through the returned array fig, axs = plt. set_title ( 'Simple plot' ) # Create two subplots and unpack the output array immediately f, ( ax1, ax2 ) = plt. sin ( x ** 2 ) # Create just a figure and only one subplot fig, ax = plt. Typical idioms for handling the return value are: 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.
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