Data Wrangling Using Grouping Method

The grouping method in Data wrangling is used to provide results in terms of various groups taken out from Large Data. This method of pandas is used to group the outset of data from the large data set.

Example: There is a Car Selling company and this company have different Brands of various Car Manufacturing Company like Maruti, Toyota, Mahindra, Ford, etc., and have data on where different cars are sold in different years. So the Company wants to wrangle only that data where cars are sold during the year 2010. For this problem, we use another data Wrangling technique which is a pandas groupby() method.

Creating dataframe to use Grouping methods[Car selling datasets]:

Python3




# Import module
import pandas as pd
 
# Creating Data
car_selling_data = {'Brand': ['Maruti', 'Maruti', 'Maruti',
                              'Maruti', 'Hyundai', 'Hyundai',
                              'Toyota', 'Mahindra', 'Mahindra',
                              'Ford', 'Toyota', 'Ford'],
                    'Year':  [2010, 2011, 2009, 2013,
                              2010, 2011, 2011, 2010,
                              2013, 2010, 2010, 2011],
                    'Sold': [6, 7, 9, 8, 3, 5,
                             2, 8, 7, 2, 4, 2]}
 
# Creating Dataframe of car_selling_data
df = pd.DataFrame(car_selling_data)
 
# printing Dataframe
print(df)


Output:

Creating new dataframe 

Creating Dataframe to use Grouping methods[DATA OF THE YEAR 2010]:

Python3




# Import module
import pandas as pd
 
# Creating Data
car_selling_data = {'Brand': ['Maruti', 'Maruti', 'Maruti',
                              'Maruti', 'Hyundai', 'Hyundai',
                              'Toyota', 'Mahindra', 'Mahindra',
                              'Ford', 'Toyota', 'Ford'],
                    'Year':  [2010, 2011, 2009, 2013,
                              2010, 2011, 2011, 2010,
                              2013, 2010, 2010, 2011],
                    'Sold': [6, 7, 9, 8, 3, 5,
                             2, 8, 7, 2, 4, 2]}
 
# Creating Dataframe for Provided Data
df = pd.DataFrame(car_selling_data)
 
# Group the data when year = 2010
grouped = df.groupby('Year')
print(grouped.get_group(2010))


Output:

Using groupby method on dataframe 

Data Wrangling in Python

Data Wrangling is the process of gathering, collecting, and transforming Raw data into another format for better understanding, decision-making, accessing, and analysis in less time. Data Wrangling is also known as Data Munging.

Python Data Wrangling

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