![]() Help on function make_subplots in module plotly.subplots: Here is an example that creates and populates a 2 x 2 subplot grid containing 4 different subplot types. "bar", "scattergeo", "carpet", "mesh", etc.) which will be used to determine the appropriate subplot type for that trace. "domain": Subplot type for traces that are individually positioned."mapbox": Mapbox subplot for scattermapbox."ternary": Ternary subplot for scatterternary."polar": Polar subplot for scatterpolar, barpolar, etc."scene": 3D Cartesian subplot for scatter3d, cone, etc.This is the default if no type is specified. "xy": 2D Cartesian subplot type for scatter, bar, etc.Here are the possible values for the type option: scatterpolar, scattergeo, parcoords, etc.) are supported by specifying the type subplot option in the specs argument to make_subplots. show ()īy default, the make_subplots function assumes that the traces that will be added to all subplots are 2-dimensional cartesian traces (e.g. update_layout ( title_text = "Customizing Subplot Axes", height = 700 ) fig. update_yaxes ( title_text = "yaxis 4 title", row = 2, col = 2 ) # Update title and height fig. update_yaxes ( title_text = "yaxis 3 title", showgrid = False, row = 2, col = 1 ) fig. update_yaxes ( title_text = "yaxis 2 title", range =, row = 1, col = 2 ) fig. update_yaxes ( title_text = "yaxis 1 title", row = 1, col = 1 ) fig. update_xaxes ( title_text = "xaxis 4 title", type = "log", row = 2, col = 2 ) # Update yaxis properties fig. update_xaxes ( title_text = "xaxis 3 title", showgrid = False, row = 2, col = 1 ) fig. 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. 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. ![]() Line 7-10: Index the ax array to plot different subplots on the figure 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.Line 5: Generate some data using numpy.Line 4: Generate a figure with 2 rows and 2 columns of subplots.Line 1-2: Import matplotlib.pyplot for plotting and numpy for generating data to plot.Here is an example on how to use the method: ax: A single object of the axes.Axes object if there is only one plot, or an array of axes.Axes objects if there are multiple plots, as specified by the nrows and ncols.fig: The object to be used as a container for all the subplots.Here is an explanation of the tuple returned by the function: **fig_kw: Any additional keyword arguments to be passed to pyplot.figure call.gridspec_kw: Dict of grid specifications passed to GridSpec constructor to place grids on each subplot.subplot_kw: Dict of keywords to be passed to the add_subplot call to add keywords to each subplot.squeeze: Boolean value specifying whether to squeeze out extra dimension from the returned axes array ax.Possible values are none, all, row, col or a boolean with a default value of False. sharex, sharey: Specifies sharing of properties between axes.Both of these are optional with a default value of 1. nrows, ncols: Number of rows and columns of the subplot grid.Given below is the detail of each parameter to the method:
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