Explanation: sort_values() sorts a DataFrame based on the values of one or more columns.
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Explanation: sort_values() sorts a DataFrame based on the values of one or more columns.
Explanation: The groupby() method groups data according to one or more columns for aggregation or transformation.
Explanation: merge() combines two DataFrames based on common columns or indices, similar to SQL joins.
Explanation: The unique() method returns an array of unique values present in a Series.
Explanation: The nunique() method returns the count of distinct values in a Series.
Explanation: pivot_table() creates a spreadsheet-style pivot table for aggregation and analysis.
Explanation: reset_index() resets the index of a DataFrame, converting the current index into a column.
Explanation: The isna() method returns a boolean DataFrame indicating the presence of NaN values.
Explanation: The to_numpy() method returns the DataFrame as a NumPy array, preserving the data values.
Explanation: pd.concat() can join multiple DataFrames either along rows (axis=0) or columns (axis=1).