Explanation: The rename() method allows you to rename columns or index labels in a DataFrame using a dictionary mapping.
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Explanation: The rename() method allows you to rename columns or index labels in a DataFrame using a dictionary mapping.
Explanation: The drop() method removes specified rows or columns from a DataFrame.
Explanation: The dtypes attribute shows the data type of each column in a DataFrame.
Explanation: The info() method gives an overview of the DataFrame including column names, non-null counts, and data types.
Explanation: Using pd.concat() with axis=1 combines DataFrames along columns.
Explanation: The value_counts() method counts how many times each unique value appears in a Series.
Explanation: The melt() method converts wide format DataFrames into long format for easier analysis.
Explanation: The drop_duplicates() method removes duplicate rows based on all or selected columns.
Explanation: The index attribute returns the row labels of a DataFrame.
Explanation: The apply() method allows you to apply a function along rows or columns in a DataFrame, or to each element in a Series.