Python Bokeh line plot
Like many Python libraries, Bokeh is a large library with complex commands and detailed representations of many types of plots.
Getting started
In order to get started, you need to make sure you have the library installed on your computer. Write:
pip install bokeh
Bokeh is used for several kinds of plots namely scatter plots, grid plots, and line plots. Let’s see how to make a simple line plot in bokeh.
Bokeh line plot
A line plot is a simple line drawn to represent the frequency of data.
import bokehfrom bokeh.plotting import figure, output_notebook, show#initialise using some x and y data'''These represents the co ordinates of the plot in terms ofx and y like (3,6),(2,4).'''x = [3, 2, 1, 11, 15]y = [6, 4, 2, 22, 30]# output in notebook environmentoutput_notebook()#new plot'''figure command draws the figure. Title is the title of yourfigure. x and y label represents the x and y size.store this figure in a variable plt.'''plt = figure(title="Bokeh Line Example", x_axis_label='x_value', y_axis_label='y_value')# add a line to the plot between x and y co ordinates.# paramters of line# legend_label - This refers to what does the line represent.# line_width - The width of the line that is to be plotted.# line_color - The color of the line that is to be plotted.plt.line(x, y, legend_label="y = 2x", line_width=3.5, line_color="red")# show the results using show command.show(plt)
For this code, x and y are the data points on the x and y-axis. The function figure creates a space for data to be plotted. The .line function draws a line among the data points. The parameters of .line are:
-
legend_labelrefers to what the line represents. -
line_widthrefers to the width of the line to be plotted. -
line_colorrefers to the color of the line to be plotted.
For Further Understanding:
