Python Pandas - 计算每组中的行数
使用来计算每组中的行数。导入所需的库 -group.size()
import pandas as pd
创建一个数据帧 -
dataFrame = pd.DataFrame({'Product Category': ['Computer', 'Mobile Phone', 'Electronics', 'Electronics', 'Computer', 'Mobile Phone'],'Quantity': [10, 50, 10, 20, 25, 50],'Product Name': ['Keyboard', 'Charger', 'SmartTV', 'Camera', 'Graphic Card', 'Earphone']})
按列分组 -
dataFrame.groupby(["Product Category", "Quantity"])
现在,计算组大小以获取每组中的行数。
示例
以下是完整的代码 -
import pandas as pd输出结果# 创建数据框
dataFrame = pd.DataFrame({'Product Category': ['Computer', 'Mobile Phone', 'Electronics', 'Electronics', 'Computer', 'Mobile Phone'],'Quantity': [10, 50, 10, 20, 25, 50],'Product Name': ['Keyboard', 'Charger', 'SmartTV', 'Camera', 'Graphic Card', 'Earphone']
})
# 数据框
print"Dataframe...\n",dataFrame
# 分组列
new_group = dataFrame.groupby(["Product Category", "Quantity"])
# 团体规模
new_group = new_group.size()
# 数据框
print"\nUpdated Dataframe...\n",new_group
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
Updated Dataframe...
Product Category Quantity
Computer 10 1
25 1
Electronics 10 1
20 1
Mobile Phone 50 2
dtype: int64
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