Python Pandas – 计数观察
要对观察进行计数，首先使用groupby()，然后使用count()结果。首先，导入所需的库-
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]})将具有重复值的列分组-
group = dataFrame.groupby("Product Category")获取计数-
group.count()
示例
以下是代码-
import pandas as pd
#createadataframe
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
#counttheobservations
group = dataFrame.groupby("Product Category")
print"\nResultant DataFrame...\n",group.count()输出结果这将产生以下输出-
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热门推荐
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