Interactive figure with several 1D plot and one hovertools using Python and Bokeh

The result is:

This code how to generate interactive figure with several 1D plot, one hovertools and togglable legend using Python and Bokeh. This is a continuing post of last one.

Interactive figure with interactive legend using Python, matplotlib.pyplot and mpld3

The result (static image) is:

This page shows how to plot data in interactive figure using python, matplotlib.pyplot and mpld3. A interactive legend is added to the figure.

Increase box size of the legend for barplot using Python and matplotlib.pyplot

The result is:

This page shows how to increase box size of the legend for barplots using Python and matplotlib.pyplot.

Plot three wave in one plot; PWM wave as example

The result is:

This page shows an example of a plot with three waves in one axes using offsets. The PWM wave is the objective.

Try all legend options in Python Matplotlib.pyplot

The default legend is:

In this page, all legend options are tried.

Change the space between labels and lines of the legend in Python Matplotlib.pyplot

The result is:

This page how to change the space between the lines in legend and their labels.

Draw two legends in one figure using Python & Matplotlib.pyplot

In [1]:

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np

In [2]:

plt.figure(figsize=(4,3))

l1, = plt.plot([0,1],[1,0],label="l1")
l2, = plt.plot([0,1],[1.1,0],label="l2")
l3, = plt.plot([0,1],[1.2,0],label="l3")
h1 = [l1, l2, l3]
l4, = plt.plot([0,1],[0,1],"--",label="l4")
l5, = plt.plot([0,1],[0,1.1],"--",label="l5")
h2 = [l4, l5]

lab1 = [ h.get_label() for h in h1]
lab2 = [ h.get_label() for h in h2]

leg1 = plt.legend(h1,lab1, loc=1)
leg2 = plt.legend(h2,lab2, loc=4)

plt.gca().add_artist(leg1) # 最後の legend しか自動認識してくれない
plt.show()