pandas.DataFrame.reorder_levels#
- DataFrame.reorder_levels(order, axis=0)[source]#
- Rearrange index or column levels using input - order.- May not drop or duplicate levels. - Parameters:
- orderlist of int or list of str
- List representing new level order. Reference level by number (position) or by key (label). 
- axis{0 or ‘index’, 1 or ‘columns’}, default 0
- Where to reorder levels. 
 
- Returns:
- DataFrame
- DataFrame with indices or columns with reordered levels. 
 
 - See also - DataFrame.swaplevel
- Swap levels i and j in a MultiIndex. 
 - Examples - >>> data = { ... "class": ["Mammals", "Mammals", "Reptiles"], ... "diet": ["Omnivore", "Carnivore", "Carnivore"], ... "species": ["Humans", "Dogs", "Snakes"], ... } >>> df = pd.DataFrame(data, columns=["class", "diet", "species"]) >>> df = df.set_index(["class", "diet"]) >>> df species class diet Mammals Omnivore Humans Carnivore Dogs Reptiles Carnivore Snakes - Let’s reorder the levels of the index: - >>> df.reorder_levels(["diet", "class"]) species diet class Omnivore Mammals Humans Carnivore Mammals Dogs Reptiles Snakes