How can I use groupby in pandas?

How can I use groupby in pandas?

You can use the groupby() function in pandas to group data by one or more columns. What specific example do you need?

Can you show me an example with a DataFrame?

Sure! Here's a simple example:

import pandas as pd

data = {'Category': ['A', 'B', 'A', 'B'], 'Values': [10, 20, 30, 40]}

df = pd.DataFrame(data)

# Group by 'Category' and sum the 'Values'
grouped = df.groupby('Category').sum()
print(grouped)

This will give you the sum of values for each category.

What if I want to calculate the mean instead of the sum?

You can simply replace sum() with mean() in the code. Here's how:

mean_grouped = df.groupby('Category').mean()
print(mean_grouped)

This will calculate the mean of the values for each category.

Thanks! Can I group by multiple columns?

Yes, you can group by multiple columns by passing a list of column names to groupby(). For example:

grouped = df.groupby(['Category', 'AnotherColumn']).sum()

Just replace AnotherColumn with the actual column name you want to group by.