bokeh.plotting.figure.step() function in Python

bokeh.plotting.figure.step() Function

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.

# 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)

# 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)