Bokeh is a data visualization library in Python that provides high-performance interactive charts and plots and the output can be obtained in various mediums like notebook, html and server. The Figure Class create a new Figure for plotting. It is a subclass of Plot that simplifies plot creation with default axes, grids, tools, etc.
bokeh.plotting.figure.circle_x() Function
The circle_x() function in plotting module of bokeh library is used to Configure and add circle_x glyphs to this Figure.
Syntax: circle_x(x, y, size=4, angle=0.0, *, angle_units=’rad’, fill_alpha=1.0, fill_color=’gray’, line_alpha=1.0, line_cap=’butt’, line_color=’black’, line_dash=[], line_dash_offset=0, line_join=’bevel’, line_width=1, name=None, tags=[], **kwargs)
Parameters: This method accept the following parameters that are described below:
- x: This parameter is the x-coordinates for the center of the markers.
- y: This parameter is the y-coordinates for the center of the markers.
- size: This parameter is the size (diameter) values for the markers in screen space units.
- angle: This parameter is the angles to rotate the markers.
- fill_alpha: This parameter is the fill alpha values for the markers.
- fill_color: This parameter is the fill color values for the markers.
- line_alpha: This parameter is the line alpha values for the markers with default value of 1.0 .
- line_cap: This parameter is the line cap values for the markers with default value of butt.
- line_color: This parameter is the line color values for the markers with default value of black.
- line_dash: This parameter is the line dash values for the markers with default value of [].
- line_dash_offset: This parameter is the line dash offset values for the markers with default value of 0.
- line_join: This parameter is the line join values for the markers with default value of bevel.
- line_width: This parameter is the line width values for the markers with default value of 1.
- mode: This parameter can be one of three values : [“before”, “after”, “center”].
- name: This parameter is the user-supplied name for this model.
- tags: This parameter is the user-supplied values for this model.
Other Parameters: These parameters are **kwargs that are described below:
- alpha: This parameter is used to set all alpha keyword arguments at once.
- color: This parameter is used to to set all color keyword arguments at once.
- legend_field: This parameter is the name of a column in the data source that should be used or the grouping.
- legend_group: This parameter is the name of a column in the data source that should be used or the grouping.
- legend_label: This parameter is the legend entry is labeled with exactly the text supplied here.
- muted: This parameter contains the bool value.
- name: This parameter is the optional user-supplied name to attach to the renderer.
- source: This parameter is the user-supplied data source.
- view: This parameter is the view for filtering the data source.
- visible: This parameter contains the bool value.
- x_range_name: This parameter is the name of an extra range to use for mapping x-coordinates.
- y_range_name: This parameter is the name of an extra range to use for mapping y-coordinates.
- level: This parameter specify the render level order for this glyph.
Return: This method return the GlyphRenderer value.
Below examples illustrate the bokeh.plotting.figure.circle_x() function in bokeh.plotting:
Example 1:
# Implementation of bokeh function import numpy as np from bokeh.plotting import figure, output_file, show plot = figure(plot_width = 300, plot_height = 300) plot.circle_x(x = [1, 2, 3], y = [3, 7, 5], size = 20, color ="green", alpha = 0.6) show(plot) |
Output:
Example 2:
# Implementation of bokeh function import numpy as np from bokeh.plotting import figure, output_file, show x = [1, 2, 3, 4, 5] y = [6, 7, 8, 7, 3] output_file("neveropen.html") p = figure(plot_width = 300, plot_height = 300) # add both a line and circles on the same plot p.line(x, y, line_width = 2) p.circle_x(x, y, fill_color ="red", line_color ="green", size = 8) show(p) |
Output:
