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How to Customize the Placement of the Legend in Seaborn Bar Plots?

Patricia Arquette
Patricia ArquetteOriginal
2024-10-25 09:40:03738browse

How to Customize the Placement of the Legend in Seaborn Bar Plots?

Customizing Legend Placement in Seaborn Bar Plots

When working with seaborn's factorplot(kind="bar"), it's common to encounter legend positioning issues, especially when the legend obstructs the plot or extends beyond the shaded area. This article addresses how to relocate the legend to a more suitable location, such as the top-left corner.

Solution:

To move the legend, utilize the legend=False parameter within factorplot. This disables the default legend placement and allows for manual control through Matplotlib. The following code demonstrates how to position the legend in the top-left:

<code class="python">import seaborn as sns
import matplotlib.pyplot as plt

sns.set(style="whitegrid")

titanic = sns.load_dataset("titanic")

g = sns.factorplot("class", "survived", "sex",
                   data=titanic, kind="bar",
                   size=6, palette="muted",
                   legend=False)
g.despine(left=True)
plt.legend(loc='upper left')
g.set_ylabels("survival probability")</code>

Additional Considerations:

  • To access the axes from the FacetGrid, use g.fig.get_axes()[0]:
<code class="python">g.fig.get_axes()[0].legend(loc='lower left')</code>

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