Python | Pandas Series.transpose()

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. Python3

# 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. Python3 1==

# 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. Python3

# 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. Python3 1==

# 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.