Search results
The only gotcha is you need to run plt.tight_layout() to get matplotlib to recompute the plot dimensions so the legend is visible: import matplotlib.pyplot as plt plt.plot([0, 1], [0, 1], label="Label 1") plt.plot([0, 1], [0, 2], label='Label 2') plt.legend(loc=(1.05, 0.5)) plt.tight_layout() This leads to the following plot: References:
I am trying to set the format to two decimal numbers in a matplotlib subplot environment. Unfortunately, I do not have any idea how to solve this task. To prevent using scientific notation on the y-axis I used ScalarFormatter(useOffset=False) as you can see in my snippet below.
26 lis 2022 · To solve this problem we need to place the legend outside the plot. The syntax to set the legend outside is as given below: matplotlib.pyplot.legend (bbox_to_anchor= (x,y)) Example 1: Matplotlib set legend upper-left outside the plot. Python3. import matplotlib.pyplot as plt. import numpy as np. x = np.linspace(0, 10, 100)
matplotlib.pyplot.legend(*args, **kwargs)[source] #. Place a legend on the Axes. Call signatures: legend()legend(handles,labels)legend(handles=handles)legend(labels) The call signatures correspond to the following different ways to use this method: 1. Automatic detection of elements to be shown in the legend.
ucl = ['upper', 'center', 'lower'] lcr = ['left', 'center', 'right'] fig, ax = plt. subplots (figsize = (6, 4), layout = 'constrained', facecolor = '0.7') ax. plot ([1, 2], [1, 2], label = 'TEST') # Place a legend to the right of this smaller subplot. for loc in ['outside upper left', 'outside upper center', 'outside upper right', 'outside ...
18 paź 2021 · Matplotlib set legend outside plot. In Matplotlib, to set a legend outside of a plot you have to use the legend () method and pass the bbox_to_anchor attribute to it. The syntax to set legend outside is as given below: matplotlib.pyplot.legend (bbox_to_anchor= (x,y)) We use the bbox_to_anchor= (x,y) attribute.
5 maj 2018 · One way to add integer values to the label is by making the legend yourself with plt.legend() and adding Patches to this legend with the correct labels and colours.
