Question

How can I fill missing data with a specific value in a DataFrame?

Answer 1

You can use the fillna() method to fill missing data with a specific value. 

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)

# Fill missing data with a specific value (e.g., 0)
df_filled = df.fillna(0)

print(df_filled)