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Python | Pandas Series.transpose()

  • Last Updated : 05 Feb, 2019

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.transpose() function return the transpose, which is by definition self.

Syntax: Series.transpose(*args, **kwargs)

Parameter : None

Returns : self

Example #1: Use Series.transpose() function to find the transpose 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 Datetime Index
didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='W'
                     periods = 6, tz = 'Europe/Berlin'
  
# set the index
sr.index = didx
  
# Print the series
print(sr)

Output :

Now we will use Series.transpose() function to find the transpose of the given series object.




# find the transpose
sr.transpose()

Output :

As we can see in the output, the Series.transpose() function has returned the same object as the transpose of the given series object, which is by definition self.
 
Example #2: Use Dataframe.transpose() function to find the transpose of the given Dataframe.




# importing pandas as pd
import pandas as pd
  
# Creating the Dataframe
df = pd.DataFrame({'Date':['10/2/2011', '11/2/2011', '12/2/2011', '13/2/2011'],
                    'Event':['Music', 'Poetry', 'Theatre', 'Comedy'],
                    'Cost':[10000, 5000, 15000, 2000]})
  
# Print the dataframe
print(df)

Output :

Now we will use Dataframe.transpose() function to find the transpose of the given Dataframe.




# find the transpose
df.transpose()

Output :

As we can see in the output, the Dataframe.transpose() function has successfully returned the transpose of the given Dataframe object.


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