What is the default method for handling missing data in pandas' dropna() function?fillignoreanyall
Question
What is the default method for handling missing data in pandas' dropna() function?
fillignoreanyall
Solution
The default method for handling missing data in pandas' dropna() function is to drop any rows that contain at least one missing value (NaN). This means that if there is any NaN in a row, that entire row will be removed from the DataFrame. The default parameters are set to ignore the axis, treating rows as the default.
axis=0: This indicates that the operation applies to rows.how='any': This means that if any NaN values are found in the row, that row will be dropped.
In summary, the default behavior of dropna() removes rows with any missing values.
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