Pandas Series.to_frame() Function

Pandas Series.to_frame() Function

Minahil Noor Mar-30, 2021 Feb-14, 2021 Pandas Pandas Series
  1. Syntax of pandas.Series.to_frame():
  2. Example Codes: Series.to_frame() Method to Convert a Series to a Dataframe
  3. Example Codes: Series.to_frame() Method to Convert a Series to a Dataframe With a Specific Column Name

Python Pandas Series.to_frame() function converts the given series to a DataFrame.

Syntax of pandas.Series.to_frame():

Series.to_frame(name=None)

Parameters

name It is an object type parameter. It tells that if series has a name, then the passed name should substitute for the series name.

Return

It returns a DataFrame that represents the series.

Example Codes: Series.to_frame() Method to Convert a Series to a Dataframe

import pandas as pd

series = pd.Series([ 'Rose', 'Jasmine', 'Lili', 'Tulip', 'Hibiscus', 'Sun Flower', 'Orchid', 'Carnation','Irises', 'Gardenias'])
print("The Original Series is: \n")
print(series)

dataframe = series.to_frame()
print("The Dataframe is: \n")
print(dataframe)

Output:

The Original Series is: 

0          Rose
1       Jasmine
2          Lili
3         Tulip
4      Hibiscus
5    Sun Flower
6        Orchid
7     Carnation
8        Irises
9     Gardenias
dtype: object
The Dataframe is: 

            0
0        Rose
1     Jasmine
2        Lili
3       Tulip
4    Hibiscus
5  Sun Flower
6      Orchid
7   Carnation
8      Irises
9   Gardenias

The function has returned the DataFrame that represents the given series.

Example Codes: Series.to_frame() Method to Convert a Series to a Dataframe With a Specific Column Name

import pandas as pd

series = pd.Series([ 'Rose', 'Jasmine', 'Lili', 'Tulip', 'Hibiscus', 'Sun Flower', 'Orchid', 'Carnation','Irises', 'Gardenias'])
print("The Original Series is: \n")
print(series)

dataframe = series.to_frame(name= 'Flowers')
print("The Dataframe is: \n")
print(dataframe)

Output:

The Original Series is: 

0          Rose
1       Jasmine
2          Lili
3         Tulip
4      Hibiscus
5    Sun Flower
6        Orchid
7     Carnation
8        Irises
9     Gardenias
dtype: object
The Dataframe is: 

      Flowers
0        Rose
1     Jasmine
2        Lili
3       Tulip
4    Hibiscus
5  Sun Flower
6      Orchid
7   Carnation
8      Irises
9   Gardenias

Now the column name is Flowers.

Related Article - Pandas Series

  • Pandas Series.head() Function
  • Pandas Series.tolist() Function
  • Pandas Series Series.map() Function
  • Pandas Series Series.nunique() Function
  • Pandas Series Series.unique() Function