Python | Pandas Series.sort_index()
Last Updated :
05 Feb, 2019
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Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas
Python3
Output :
Now we will use
Python3 1==
Output :
As we can see in the output, the
Python3
Output :
Now we will use
Python3 1==
Output :
As we can see in the output, the
Series.sort_index()
function is used to sort the index labels of the given series object.
Syntax: Series.sort_index(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True) Parameter : axis : Axis to direct sorting. This can only be 0 for Series. level : If not None, sort on values in specified index level(s). ascending : Sort ascending vs. descending. inplace : If True, perform operation in-place. kind : Choice of sorting algorithm. na_position : Argument ‘first’ puts NaNs at the beginning, ‘last’ puts NaNs at the end. sort_remaining : If true and sorting by level and index is multilevel, sort by other levels too (in order) after sorting by specified level. Returns : SeriesExample #1: Use
Series.sort_index()
function to sort the index labels of the given series object.
# importing pandas as pd
import pandas as pd
# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio', 'Moscow'])
# Create the Index
index_ = ['City 5', 'City 6', 'City 4', 'City 2', 'City 3', 'City 1']
# set the index
sr.index = index_
# Print the series
print(sr)

Series.sort_index()
function to sort the index labels of the given series object.
# sort the index labels
sr.sort_index()

Series.sort_index()
function has successfully sorted the index labels of the given series object.
Example #2: Use Series.sort_index()
function to sort the index labels of the given series object.
# importing pandas as pd
import pandas as pd
# Creating the Series
sr = pd.Series([19.5, 16.8, 22.78, 20.124, 18.1002])
# Create the Index
index_ = [5, 3, 2, 1, 4]
# set the index
sr.index = index_
# Print the series
print(sr)

Series.sort_index()
function to sort the index labels of the given series object.
# sort the index labels
sr.sort_index()

Series.sort_index()
function has successfully sorted the index labels of the given series object.