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Python | Pandas DataFrame.transpose

DataFrame.transpose() Pandas DataFrame.transpose() transpose the index and columns of the info frame. It reflects the DataFrame along its main diagonal, writing rows as columns and vice versa.

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

Parameter:
copy: If True, the underlying data is copied. Otherwise (default), no copy is made if possible.
* args, ** kwargs: Additional keywords have no effect but might be accepted for compatibility with numpy.

Returns: The transposed DataFrame

Example # 1: Use DataFrame.transpose () to find transpose this data frame.

# import pandas as pd

import pandas as pd

 
# DataFrame creation

df = pd.DataFrame ({ ’Weight’ : [ 45 , 88 , 56 , 15 , 71 ],

’Name’ : [ ’ Sam’ , ’Andrea’ , ’ Alex’ , ’Robin’ , ’Kia’ ],

  ’Age’ : [ 14 , 25 , 55 , 8 , 21 ]})

  
# Create index

index_ = pd.date_range ( ’2010-10-09 08:45’ , periods = 5 , freq = ’H’ )

 
# Set index

df.index = index_

 
# Print DataFrame

print (df)

Exit:

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

# return transposition

result = df.transpose ()

 
# Print result

print (result)

Output:

As we can see in the output, DataFrame.transpose () successfully returned the transpose of the given data frame.

Example # 2: Use DataFrame.transpose () to find the transponder coding this data frame.

# import pandas as pd

import pandas as pd

 
# DataFrame creation

df = pd.DataFrame ({ "A" : [ 12 , 4 , 5 , None , 1 ], 

"B" : [ 7 , 2 , 54 , 3 , None ], 

"C" : [ 20 , 16 , 11 , 3 , 8 ], 

  "D" : [ 14 , 3 , None , 2 , 6 ]}) 

 
# Create index

index_ = [ ’Row_1’ , ’ Row_2’ , ’Row_3’ , ’ Row_4’ , ’Row_5’ ]

  
# Set index

df.index = index_

 
# Print DataFrame

print (df)

Exit: 

Now we will use DataFrame.transpose () to find the transposition of the given data frame.

# return transposition

result = df.transpose ()

 
# Print the result

print (result)

Output:

As we can see in the output, DataFrame.transpose () returned successfully transpose this data frame.

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