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  • MultiIndex advanced indexing — pandas 2. 3. 0 documentation
    A MultiIndex can be created from a list of arrays (using MultiIndex from_arrays()), an array of tuples (using MultiIndex from_tuples()), a crossed set of iterables (using MultiIndex from_product()), or a DataFrame (using MultiIndex from_frame())
  • pandas. MultiIndex — pandas 2. 3. 0 documentation
    Make a MultiIndex from a DataFrame set_levels (levels, *[, level, verify_integrity]) Set new levels on MultiIndex set_codes (codes, *[, level, verify_integrity]) Set new codes on MultiIndex to_frame ([index, name, allow_duplicates]) Create a DataFrame with the levels of the MultiIndex as columns to_flat_index ()
  • pandas. MultiIndex. from_frame — pandas 2. 3. 0 documentation
    Make a MultiIndex from a DataFrame Parameters: df DataFrame DataFrame to be converted to MultiIndex sortorder int, optional Level of sortedness (must be lexicographically sorted by that level) names list-like, optional If no names are provided, use the column names, or tuple of column names if the columns is a MultiIndex
  • MultiIndex advanced indexing — pandas 3. 0. 0. dev0+2178. g592a41a1a5 . . .
    A MultiIndex can be created from a list of arrays (using MultiIndex from_arrays()), an array of tuples (using MultiIndex from_tuples()), a crossed set of iterables (using MultiIndex from_product()), or a DataFrame (using MultiIndex from_frame())
  • pandas. MultiIndex. to_frame — pandas 2. 3. 0 documentation
    MultiIndex to_frame (index=True, name=<no_default>, allow_duplicates=False) [source] # Create a DataFrame with the levels of the MultiIndex as columns Column ordering is determined by the DataFrame constructor with data as a dict Parameters: index bool, default True Set the index of the returned DataFrame as the original MultiIndex
  • pandas. DataFrame. xs — pandas 2. 3. 0 documentation
    pandas DataFrame xs# DataFrame xs (key, axis = 0, level = None, drop_level = True) [source] # Return cross-section from the Series DataFrame This method takes a key argument to select data at a particular level of a MultiIndex Parameters: key label or tuple of label Label contained in the index, or partially in a MultiIndex
  • pandas. DataFrame. reset_index — pandas 2. 3. 0 documentation
    Reset the index of the DataFrame, and use the default one instead If the DataFrame has a MultiIndex, this method can remove one or more levels Parameters: level int, str, tuple, or list, default None Only remove the given levels from the index Removes all levels by default drop bool, default False Do not try to insert index into dataframe
  • pandas. MultiIndex. append — pandas 2. 3. 0 documentation
    MultiIndex from_arrays ([['a'], ['b']]) >>> mi MultiIndex([('a', 'b')],) >>> mi append (mi) MultiIndex([('a', 'b'), ('a', 'b')],) previous pandas MultiIndex copy


















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