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Pandas Series.to_frame()

Pandas Series.to_frame() with What is Python Pandas, Reading Multiple Files, Null values, Multiple index, Application, Application Basics, Resampling, Plotting the data, Moving windows functions, Series, Read the file, Data operations, Filter Data etc.

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Pandas Series.to_frame()

Series is defined as a type of list that can hold an integer, string, double values, etc. It returns an object in the form of a list that has an index starting from 0 to n where n represents the length of values in Series.

The main difference between Series and Data Frame is that Series can only contain a single list with a particular index, whereas the DataFrame is a combination of more than one series that can analyze the data.

The Pandas Series.to_frame() function is used to convert the series object to the DataFrame.

Syntax

Series.to_frame(name=None)

Parameters

name: Refers to the object. Its Default value is None. If it has one value, the passed name will be substituted for the series name.

Returns

It returns DataFrame representation of Series.

Example1

s = pd.Series(["a", "b", "c"],
name="vals")
s.to_frame()

Output

       vals
0          a
1          b
2          c

Example2

import pandas as pd 
import matplotlib.pyplot as plt   
emp = ['Parker', 'John', 'Smith', 'William'] 
id = [102, 107, 109, 114]   
emp_series = pd.Series(emp) 
id_series = pd.Series(id)   
frame = { 'Emp': emp_series, 'ID': id_series } 
result = pd.DataFrame(frame)   
print(result)

Output

      Emp       ID
0   Parker     102
1   John        107
2   Smith      109
3   William   114
Next TopicSeries.unique()




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