Created
April 28, 2020 12:13
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Unpivot data with delimiters (matplotlib visualization)
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| import pandas as pd | |
| from matplotlib import pyplot as plt | |
| # Load the resulting dataset | |
| data = pd.read_csv("final_data.csv") | |
| # Group by social networks AND gender | |
| gender_socials = data.groupby(by=["Used Social Networks", "Gender"]).count() | |
| # Unstack the grouped DataFrame and plot it in a bar chart (the genders\ | |
| # are unstacked to the columns) | |
| # This means the socials are in the X axis and the frequencies of each\ | |
| # social on the Y axis, broken down by gender | |
| gender_socials.unstack().plot(kind="bar", rot=0) | |
| # Add a title to the plot | |
| plt.title("Social Networks by Gender") | |
| # Update the legend to show only the gender options | |
| plt.legend(set(data["Gender"])) | |
| # Show the finalized plot | |
| plt.show() |
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