Python | Pandas Series.transpose ()

Python Methods and Functions

Series.transpose() Pandas Series.transpose() returns transpose, which is self .

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

Parameter: None

Returns: self

Example # 1: Use Series.transpose () to find the transposition of a given Series object.

# import pandas as pd

import pandas as pd

 
# Create Series

sr = pd .Series ([ 'New York' , 'Chicago' , ' Toronto' , 'Lisbon' , ' Rio' , 'Moscow' ])

 
# Create date and time index

didx = pd.DatetimeIndex (start = ' 2014-08-01 10:00' , freq = 'W'

  periods = 6 , tz = ' Europe / Berlin'

 
# set index

sr.index = didx

 
# Print series

print (sr)

Output:

We will now use Series.transpose () to find the transposition of this series object.

# find transposition
sr.transpose ()

Output:

As we can see in the output, Series.transpose () returned the same object as the transposition of this series object, which is self by definition.

Example # 2: Use Dataframe.transpose () to find the transposition of a given Dataframe.

# import pandas as pd

import pandas as pd

 
# Create data frame

df = pd.DataFrame ({ ' Date' : [ '10/2 / 2011' , '11/2 / 2011' , ' 12/2 / 2011' , '13 / 2 / 2011' ],

'Event' : [ ' Music' , 'Poetry' , ' Theater' , 'Comedy' ],

  'Cost' : [ 10000 , 5000 , 15000 , 2000 ]})

 
# Print the data frame

print (df)

Output:

We will now use Dataframe.transpose () to find the transposition of this Dataframe.

# find transpose
df.transpose ()

Output:

As we can see from the output, Dataframe.transpose () successfully returned the transpose of the given Dataframe.





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