How to sort a pandas DataFrame or a Series ? | Pandas sort_values() | Pandas Tutorial for Beginners
pandas.DataFrame.sort_values
DataFrame.sort_values(self, by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last', ignore_index=False)[source]
Sort by the values along either axis.
Parameters
by str or list of str
Name or list of names to sort by.
if axis is 0 or ‘index’ then by may contain index levels and/or column labels.
if axis is 1 or ‘columns’ then by may contain column levels and/or index labels.
Changed in version 0.23.0: Allow specifying index or column level names.
axis{0 or ‘index’, 1 or ‘columns’}, default 0
Axis to be sorted.
ascending bool or list of bool, default True
Sort ascending vs. descending. Specify list for multiple sort orders. If this is a list of bools, must match the length of the by.
inplace bool, default False
If True, perform operation in-place.
kind{‘quicksort’, ‘mergesort’, ‘heapsort’}, default ‘quicksort’
Choice of sorting algorithm. See also ndarray.np.sort for more information. mergesort is the only stable algorithm. For DataFrames, this option is only applied when sorting on a single column or label.
na_position{‘first’, ‘last’}, default ‘last’
Puts NaNs at the beginning if first; last puts NaNs at the end.
ignore_index bool, default False
If True, the resulting axis will be labeled 0, 1, …, n - 1.
New in version 1.0.0.
Returns
sorted_obj DataFrame or None
DataFrame with sorted values if inplace=False, None otherwise.
The github link for this notebook is below 👇👇
https://github.com/RakeshKrishna143/P...
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