how to make scatter points different shape based on a month for better visibility in seaborn sns scatterplot in python

To make scatter points different shapes based on a month in a seaborn scatterplot in Python, you can use the hue parameter to specify the month column and the style parameter to assign different shapes to each month.

Here's an example of how you can achieve this:

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

# Load the data
data = sns.load_dataset('tips')  # Replace with your own data

# Create scatterplot with different shapes based on month
sns.scatterplot(x='total_bill', y='tip', hue='month', style='month', data=data)

# Show the plot
plt.show()
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In this example, the x and y parameters specify the columns representing the x-axis and y-axis variables. The hue parameter is set to the month column, which assigns different colors to each month. The style parameter is also set to the month column, which assigns different shapes to each month.

You can replace the data variable with your own dataset and modify the column names accordingly to fit your data.