问题
To add a legend to a matplotlib plot, one simply runs legend()
.
How to remove a legend from a plot?
(The closest I came to this is to run legend([])
in order to empty the legend from data. But that leaves an ugly white rectangle in the upper right corner.)
回答1:
As of matplotlib v1.4.0rc4, a remove
method has been added to the legend object.
Usage:
ax.get_legend().remove()
or
legend = ax.legend(...)
...
legend.remove()
See here for the commit where this was introduced.
回答2:
You could use the legend's set_visible
method:
ax.legend().set_visible(False)
draw()
This is based on a answer provided to me in response to a similar question I had some time ago here
(Thanks for that answer Jouni - I'm sorry I was unable to mark the question as answered... perhaps someone who has the authority can do so for me?)
回答3:
If you want to plot a Pandas dataframe and want to remove the legend, add legend=None as parameter to the plot command.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df2 = pd.DataFrame(np.random.randn(10, 5))
df2.plot(legend=None)
plt.show()
回答4:
you have to add the following lines of code:
ax = gca()
ax.legend_ = None
draw()
gca() returns the current axes handle, and has that property legend_
回答5:
If you are not using fig and ax plot objects you can do it like so:
import matplotlib.pyplot as plt
# do plot specifics
plt.legend('')
plt.show()
回答6:
I made a legend by adding it to the figure, not to an axis (matplotlib 2.2.2). To remove it, I set the legends
attribute of the figure to an empty list:
import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()
ax1.plot(range(10), range(10, 20), label='line 1')
ax2.plot(range(10), range(30, 20, -1), label='line 2')
fig.legend()
fig.legends = []
plt.show()
来源:https://stackoverflow.com/questions/5735208/remove-the-legend-on-a-matplotlib-figure