Question

How can I identify missing data in a DataFrame using Pandas?

Answer 1

You can use the isna() or isnull() method to identify missing data in a DataFrame. 

Here's an example:

import pandas as pd

# Create a DataFrame with missing data
data = {'A': [1, 2, None, 4],
        'B': [None, 2, 3, 4]}
df = pd.DataFrame(data)

# Check for missing data
missing_data = df.isna()  # or df.isnull()

print(missing_data)