How can I visualize data using pandas groupby?

How can I visualize data using pandas groupby?

You can use the groupby function in pandas to aggregate your data and then visualize it using libraries like Matplotlib or Seaborn.

Can you show me an example of how to do that?

Sure! First, you would group your DataFrame by a specific column, then use the mean() function to get the average. After that, you can plot it using plot() from Matplotlib.

What if I want to visualize the count instead of the mean?

You can use the size() function instead of mean() to get the count of each group, and then plot that.

Can you provide a code snippet for that?

Absolutely! Here's a simple example:

import pandas as pd
import matplotlib.pyplot as plt

# Sample DataFrame
data = {'Category': ['A', 'B', 'A', 'B', 'C'], 'Values': [10, 20, 15, 25, 30]}
df = pd.DataFrame(data)

# Group by 'Category' and count
count_data = df.groupby('Category').size()

# Plotting
count_data.plot(kind='bar')
plt.title('Count of Categories')
plt.show()