Positioning Seaborn Legend in a Different Location
When creating a bar plot using seaborn's factorplot, it is possible to encounter misplaced legends. To address this issue, the legend positioning can be customized.
Seaborn with Legend Customization
Instead of using the default legend placement in the middle-right, a more suitable location can be specified. One approach involves setting legend=False in factorplot and manually creating the legend using Matplotlib.
The provided solution expands upon this technique:
<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>
Using these methods, you can place the legend in the desired location, improving the readability and clarity of your seaborn plot.
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