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 Series.set_axis() function is used to assign desired index to given axis. Indexes for column or row labels can be changed by assigning a list-like or Index.
Syntax: Series.set_axis(labels, axis=0, inplace=None)
Parameter :
labels : The values for the new index.
axis : The axis to update. The value 0 identifies the rows, and 1 identifies the columns.
inplace : Whether to return a new %(klass)s instance.
Returns : renamed : series
Example #1: Use Series.set_axis() function to reset the axis of the given Series object.
Python3
# importing pandas as pdimport pandas as pd# Creating the Seriessr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio', 'Moscow'])# Create the Indexindex_ = ['City 1', 'City 2', 'City 3', 'City 4', 'City 5', 'City 6']# set the indexsr.index = index_# Print the seriesprint(sr) |
Output :
Now we will use Series.set_axis() function to reset the index of the given series object
Python3
# Create the Indexdidx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='W', periods = 6, tz = 'Europe/Berlin') # reset the indexsr.set_axis(didx, inplace = True)# Print the seriesprint(sr) |
Output :
As we can see in the output, the Series.set_axis() function has successfully reset the index of the given Series object.
Example #2: Use Series.set_axis() function to reset the axis of the given Series object.
Python3
# importing pandas as pdimport pandas as pd# Creating the Seriessr = pd.Series([100, 25, 32, 118, 24, 65])# Print the seriesprint(sr) |
Output :
Now we will use Series.set_axis() function to reset the index of the given series object
Python3
# Assign the new indexsr.set_axis(['A', 'B', 'C', 'D', 'E', 'F'], inplace = True)# print the seriesprint(sr) |
Output :
As we can see in the output, the Series.set_axis() function has successfully reset the index of the given Series object.
