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Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

Matplotlib legend outside plot

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Matplotlib figure class has a legend method to place the legend on the figure level but not the subplot level. Search: Matplotlib Boxplot Outlier Symbol. Search: Matplotlib X Axis
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. Here x and y specify the coordinates of the legend.
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The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). scatteryoffsets iterable of floats, default: [0.375, 0.5, 0.3125] The vertical offset
Jul 11, 2022 · Before doing so, let’s quickly see an example of the plot with the legend and see why we need to place it outside of the plot in the below section. import numpy as np import matplotlib.pyplot as plt data=np.linspace (-10, 10, 100) plt.plot (data,np.sin (data)) plt.plot (data,np.cos (data)) plt.legend ( ["Sine Data","Cosine Data"]) plt.show ()