Emulating Numeric types in Python

Convert given Pandas series into a dataframe with its index as another column on the dataframe

Last Updated : 17 Aug, 2020

First of all, let we understand that what are pandas series. Pandas Series are the type of array data structure. It is one dimensional data structure. It is capable of holding data of any type such as string, integer, float etc. A Series can be created using Series constructor.

Syntax: pandas.Series(data, index, dtype, copy)

Return: Series object.

Now, Let’s create a pandas Series:

Python3

# importing pandas package 
import pandas as pd 
  
# Creating Series of  
# programming languages 
s = pd.Series(['C', 'C++', 'Java',  
               'Python', 'Perl', 'Ruby', 
               'Julia']) 
  
s

Output:

Now, we will convert given Pandas series into a dataframe with its index as another column on the dataframe by using Series.to_frame() and Dataframe.reset_index() methods together.

Syntax: Series.to_frame(name=None)

Return: Dataframe.

Syntax: Dataframe.reset_index(level=None, drop=False, name=None, inplace=False)

Return: Dataframe.

Example 1: We will convert given Pandas series into a dataframe with its index as another column.

Python3

# using series.to_frame to 
# convert series to dataframe 
df = s.to_frame().reset_index() 
  
# show the dataframe 
df

Output:

series to dataframe

Example 2: We can also rename our index column.

Python3

# Renaming our index column as 'new_index' 
df.rename(columns = {'index':'new_index'}, 
          inplace = True) 
  
# show the dataframe 
df

Output:

rename index column

Emulating Numeric types in Python

V

vipul1501

Improve

Article Tags :

Practice Tags :

python

Similar Reads

How to Convert Dataframe column into an index in Python-Pandas?

Pandas provide a convenient way to handle data and its transformation. Let's see how can we convert a data frame column to row name or index in Pandas. Create a dataframe first with dict of lists. C/C++ Code # importing pandas as pd import pandas as pd # Creating a dict of lists data = {'Name':[

How to convert index in a column of the Pandas dataframe?

Each row in a dataframe (i.e level=0) has an index value i.e value from 0 to n-1 index location and there are many ways to convert these index values into a column in a pandas dataframe. First, let's create a Pandas dataframe. Here, we will create a Pandas dataframe regarding student's marks in a pa

Get column index from column name of a given Pandas DataFrame

Let's learn how to get the index of a column based on its name using the DataFrame.columns attribute and Index.get_loc() method from the pandas library. Index.get_loc() Method Index.get_loc() function finds the index of a specified column name and returns an integer if the column name is unique. Syn

How to Convert Pandas DataFrame columns to a Series?

It is possible in pandas to convert columns of the pandas Data frame to series. Sometimes there is a need to converting columns of the data frame to another type like series for analyzing the data set. Case 1: Converting the first column of the data frame to Series C/C++ Code # Importing pandas modu

Create a New Column in Pandas DataFrame based on the Existing Columns

When working with data in Pandas, we often need to change or organize the data into a format we want. One common task is adding new columns based on calculations or changes made to the existing columns in a DataFrame. In this article, we will be exploring different ways to do that. Task: We have a D

Pandas DataFrame assign() Method - Create new Columns in DataFrame

The assign() method in Pandas is used to create or modify columns in a DataFrame while preserving the original DataFrame. It returns a new DataFrame with the specified modifications. This method allows adding single or multiple columns, performing calculations using existing columns and applying fun

How to Convert Index to Column in Pandas Dataframe?

Pandas is a powerful tool which is used for data analysis and is built on top of the python library. The Pandas library enables users to create and manipulate dataframes (Tables of data) and time series effectively and efficiently. These dataframes can be used for training and testing machine learni

Create a Pandas DataFrame from a Numpy array and specify the index column and column headers

This article demonstrates multiple examples to convert the Numpy arrays into Pandas Dataframe and to specify the index column and column headers for the data frame. Example 1: In this example, the Pandas dataframe will be generated and proper names of index column and column headers are mentioned in

Pandas DataFrame to_dict() Method | Convert DataFrame to Dictionary

Python is a great language for doing data analysis because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier.Â Pandas .to_dict() method is used to convert a DataFrame into a dictionary of series or list-like

Convert a series of date strings to a time series in Pandas Dataframe

During the analysis of a dataset, oftentimes it happens that the dates are not represented in proper type and are rather present as simple strings which makes it difficult to process them and perform standard date-time operations on them. pandas.to_datetime() Function helps in converting a date stri