Python Pandas——計算觀測值


要計算觀測值,首先使用 groupby(),然後對結果使用 count()。首先,匯入所需的庫 -

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]})

分組有重複值的列 -

group = dataFrame.groupby("Product Category")

獲取計數 -

group.count()

示例

以下為程式碼 -

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()

輸出

這將生成以下輸出 -

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

更新於: 20-Sep-2021

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