Convert DataFrame GroupBy object to DataFrame Pandas

Given a pandas dataframe, we have to convert dataframe groupby object to dataframe pandas. By Pranit Sharma Last updated : October 02, 2023

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and data.

Problem statement

Given a pandas dataframe, we have to convert dataframe groupby object to dataframe pandas.

Converting DataFrame GroupBy object to DataFrame Pandas

If we apply groupby operation on this DataFrame, it will return an object created at some particular location. We need to convert this object to DataFrame pandas. We will achieve this task using aggregate sum method which will return the sum of each groupby value.

The groupby() method is a simple but very useful concept in pandas. By using the groupby() method, we can create a grouping of certain values and perform some operations on those values. This method splits the object, apply some operations, and then combines them to create a group hence large amount of data and computations can be performed on these groups.

Let us understand with the help of an example,

Python program to convert dataframe groupby object to dataframe pandas

# Importing pandas package
import pandas as pd

# Import numpy package
import numpy as np

# Creating dictionary
d = {
    'A' : ['Hello', 'World', 'Hello', 'World','Hello', 'World','Hello', 'World'],
    'B' : ['one', 'one', 'two', 'three','one', 'two','one', 'two']
}

# Creating DataFrame
df = pd.DataFrame(d)

# Display Original DataFrame
print("Created DataFrame:\n",df,"\n")

# Using groupby
group = df.groupby('A')

# Display groupby object
print("Result:\n",group)

# Display converted pandas DataFrame
print("Result:\n",group.aggregate(np.sum))

Output

The output of the above program is:

Example: Convert DataFrame GroupBy object to DataFrame Pandas

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