The apply() function is used to apply a custom function to each element or row of a DataFrame. It can be used for data cleaning by applying custom data transformation or validation functions.
Example Code (applying a custom function to a column):
# Define a custom function to clean data
def clean_data(value):
# Perform data cleaning operations here
return cleaned_value
# Apply the clean_data function to column 'Column_Name'
df['Column_Name'] = df['Column_Name'].apply(clean_data)
