bokeh.plotting.figure.step() Function
The step() function in plotting module of bokeh library is used to configure and add Step glyphs to this Figure.
Syntax: step(x, y, *, line_alpha=1.0, line_cap=’butt’, line_color=’black’, line_dash=[], line_dash_offset=0, line_join=’bevel’, line_width=1, mode=’before’, name=None, tags=[], **kwargs)
Parameters: This method accept the following parameters that are described below:
- x: This parameter is the x-coordinates for the steps.
- y: This parameter is the y-coordinates for the steps.
- line_alpha: This parameter is the line alpha values for the steps with default value of 1.0 .
- line_cap: This parameter is the line cap values for the steps with default value of butt.
- line_color: This parameter is the line color values for the steps with default value of black.
- line_dash: This parameter is the line dash values for the steps with default value of [].
- line_dash_offset: This parameter is the line dash offset values for the steps with default value of 0.
- line_join: This parameter is the line join values for the steps with default value of bevel.
- line_width: This parameter is the line width values for the steps 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.step() function in bokeh.plotting:
Example 1:
# Implementation of bokeh function import numpy as np from bokeh.plotting import figure, output_file, show x = np.arange( 16 ) y = np.sin(x / 3 ) plot = figure(plot_width = 300 , plot_height = 300 ) plot.step(x = x, y = y + 2 , color = 'green' ) plot.line(x, y + 2 , color = 'black' , line_alpha = 0.3 , line_dash = "dashed" ) show(plot) |
Output:
Example 2:
# Implementation of bokeh function import numpy as np from bokeh.plotting import figure, output_file, show x = np.arange( 16 ) y = np.sin(x / 3 ) plot = figure(plot_width = 300 , plot_height = 300 ) plot.step(x = x, y = y + 2 , color = 'blue' , legend_label = 'pre' ) plot.line(x, y + 2 ,color = 'black' , line_alpha = 0.3 , line_dash = "dashed" ) plot.step(x = x, y = y + 1 , color = 'orange' , legend_label = 'mid' ) plot.line(x, y + 1 , color = 'black' , line_alpha = 0.3 , line_dash = "dashed" ) plot.step(x = x, y = y, color = 'green' , legend_label = 'post' ) plot.line(x, y, color = 'black' , line_alpha = 0.3 , line_dash = "dashed" ) show(plot) |
Output:
bokeh.plotting.figure.step() function in Python
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.