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Here are a few title options for your article, focusing on the question format and the core content about legend positioning in Seaborn plots: **Option 1 (Direct and Concise):** * **How to Position L

Patricia Arquette
Patricia ArquetteOriginal
2024-10-24 18:49:14335browse

Here are a few title options for your article, focusing on the question format and the core content about legend positioning in Seaborn plots:

**Option 1 (Direct and Concise):**
* **How to Position Legends in Seaborn Plots?** 

**Option 2 (Emphasizing Ma

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>
  • plt.legend(loc='upper left'): Specifies the upper-left corner as the legend location.
  • g.fig.get_axes()[0].legend(loc='lower left'): Alternatively, this line can be used to set the legend location in the lower-left corner.

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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