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How to Control Legend Placement in Seaborn Bar Plots?

Barbara Streisand
Barbara StreisandOriginal
2024-10-25 04:34:29560browse

How to Control Legend Placement in Seaborn Bar Plots?

Customizing Legend Placement in a Seaborn Bar Plot

When creating a factor plot with factorplot(kind="bar") in seaborn, its legend can sometimes be misaligned, extending beyond the plot's margins. This can make the plot cluttered and difficult to interpret.

To address this issue, seaborn provides several options for customizing legend placement. One approach is to use legend=False in factorplot and handle the legend manually through matplotlib. This allows you to specify the legend's position using the loc parameter.

Here's an example code:

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

titanic = sns.load_dataset("titanic")

# Create a factor plot with legend disabled
g = sns.factorplot("class", "survived", "sex",
                   data=titanic, kind="bar",
                   size=6, palette="muted",
                   legend=False)

# Customize the legend's position and appearance
g.despine(left=True)
plt.legend(loc='upper left')
g.set_ylabels("survival probability")</code>

In this example, the despine(left=True) function removes unnecessary whitespace on the left side of the plot. The legend is then added manually using legend(loc='upper left'), specifying the 'upper left' corner as the legend's position. You can also adjust the legend's title and other attributes using the appropriate matplotlib functions.

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