Explanation: The replace() method replaces specified values with another value in a DataFrame or Series.
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Explanation: The replace() method replaces specified values with another value in a DataFrame or Series.
Explanation: The copy() method creates a deep copy of a DataFrame to avoid modifying the original data.
Explanation: The corr() method calculates pairwise correlation between numerical columns in a DataFrame.
Explanation: The astype() method converts a column or Series to a specified data type.
Explanation: set_index() sets one or more columns as the index of the DataFrame.
Explanation: Both isnull() and isna() can be used interchangeably to detect missing values in pandas.
Explanation: stack() pivots the columns of a DataFrame into the index, compressing it into a Series with a MultiIndex.
Explanation: unstack() moves a level of the row index to the column axis, effectively pivoting it.
Explanation: append() allows adding rows or another DataFrame to an existing DataFrame along rows.
Explanation: pd.DataFrame() can take a dictionary where keys are column names and values are lists to create a DataFrame.