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Is there an ungroup by operation opposite to groupby in pandas?

Given a pandas dataframe, we have to ungroup by operation opposite to groupby.
Submitted by Pranit Sharma, on September 14, 2022

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.

Ungrouping by operation opposite to groupby in pandas

The groupby() is a simple but very useful concept in pandas. By using groupby(), we can create grouping of certain values and perform some operations on those values.

The groupby() method splits the object, applies some operations, and then combines them to create a group hence a large amount of data and computations can be performed on these groups.

The groupby operation packs the data into an object and if we want to check out that data, we need to access that object.

Let us understand with the help of an example,

Python program to ungroup by operation opposite to groupby in pandas

# Importing pandas package
import pandas as pd

# Creating a dictionary
d = {
    'Name':['Priyanka','Roshan','Amit','Neena','Anjali','Rohan'],
    'Age':[37,40,29,58,43,45],
    'Insurance':[1,1,1,0,0,0]
}

# Creating a DataFrame
df = pd.DataFrame(d)

# Performing groupby on insurance
group = df.groupby('Insurance')

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

# Display group's data
print("ungrouping the items:\n",group.obj)

Output

The output of the above program is:

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