Horizontal_spacing: float (default 0.2 / cols) Grid mayĪlso be printed using the `Figure.print_grid()` method on the If True, prints a string representation of the plot grid. 'bottom-left': Subplots are numbererd with (1, 1) in the bottom 'top-left': Subplots are numbered with (1, 1) in the top Start_cell: 'bottom-left' or 'top-left' (default 'top-left')Ĭhoose the starting cell in the subplot grid used to set the True or 'rows': Share axes among subplots in the same row 'columns': Share axes among subplots in the same column Shared_yaxes: boolean or str (default False)Īssign shared (linked) y-axes for 2D cartesian subplots
'all': Share axes across all subplots in the grid. 'rows': Share axes among subplots in the same row True or 'columns': Share axes among subplots in the same column Shared_xaxes: boolean or str (default False)Īssign shared (linked) x-axes for 2D cartesian subplots Return an instance of aph_objs.Figure with predefined subplots Make_subplots(rows=1, cols=1, shared_xaxes=False, shared_yaxes=False, start_cell='top-left', print_grid=False, horizontal_spacing=None, vertical_spacing=None, subplot_titles=None, column_widths=None, row_heights=None, specs=None, insets=None, column_titles=None, row_titles=None, x_title=None, y_title=None, figure=None, **kwargs) -> aph_objs._figure.Figure
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.
PLT SUBPLOT TITLE UPDATE
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. 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.
0 kommentar(er)
