Python Pandas: Fill Missing Values with 0

Assuming you have a Pandas DataFrame, you can use the 'fillna()' method to replace all missing values with 0. Here's the Python code:

import pandas as pd

# Create a sample dataframe
df = pd.DataFrame({'A': [1, 2, None, 4], 'B': [None, 3, 5, None]})

# Replace missing values with 0
df.fillna(0, inplace=True)

# Print the dataframe
print(df)

Output:

   A  B
0  1  0
1  2  3
2  0  5
3  4  0

The 'fillna()' method replaces all missing values with the specified value (in this case, 0). The 'inplace=True' parameter modifies the original DataFrame instead of creating a new one.