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Python Pandas – Count the Observations
To count the observations, first use the groupby() and then use count() on the result. At first, import the required library −
dataFrame = pd.DataFrame({'Product Name': ['Keyboard', 'Charger', 'SmartTV', 'Camera', 'Graphic Card', 'Earphone'],'Product Category': ['Computer', 'Mobile Phone', 'Electronics','Electronics', 'Computer', 'Mobile Phone'],'Quantity': [10, 50, 10, 20, 25, 50]})Group the column with duplicate values −
group = dataFrame.groupby("Product Category")
Get the count −
group.count()
Example
Following is the code −
import pandas as pd
# create a dataframe
dataFrame = pd.DataFrame({'Product Name': ['Keyboard', 'Charger', 'SmartTV', 'Camera', 'Graphic Card', 'Earphone'],'Product Category': ['Computer', 'Mobile Phone', 'Electronics','Electronics', 'Computer', 'Mobile Phone'],'Quantity': [10, 50, 10, 20, 25, 50]})
# dataframe
print"Dataframe...\n",dataFrame
# count the observations
group = dataFrame.groupby("Product Category")
print"\nResultant DataFrame...\n",group.count()Output
This will produce the following output −
Dataframe... Product Category Product Name Quantity 0 Computer Keyboard 10 1 Mobile Phone Charger 50 2 Electronics SmartTV 10 3 Electronics Camera 20 4 Computer Graphic Card 25 5 Mobile Phone Earphone 50 Resultant DataFrame... Product Name Quantity Product Category Computer 2 2 Electronics 2 2 Mobile Phone 2 2
Updated on: 20-Sep-2021
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