opacity in sns scatterplot in python

To set the opacity in a Seaborn scatterplot in Python, you can use the alpha parameter. Here's an example:

main.py
import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset('iris')

# Create scatterplot with opacity
sns.scatterplot(data=data, x='sepal_length', y='sepal_width', alpha=0.5)

# Show the plot
plt.show()
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In the example above, alpha=0.5 sets the opacity of the scatterplot to 50%. You can adjust this value from 0 to 1, where 0 is completely transparent and 1 is completely opaque. Change the x and y variables according to your dataset.

Make sure to import the required libraries (seaborn and matplotlib.pyplot), and load your data into a DataFrame before creating the scatterplot.

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