You can use the dropna() method to remove rows with missing data.
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)
# Remove rows with missing data
df_clean = df.dropna()
print(df_clean)