使用 eval() 函数计算行的总和 – Python Pandas
该eval()函数还可用于计算具有指定列的行的总和。首先，让我们创建一个带有产品记录的DataFrame-
dataFrame = pd.DataFrame({"Product": ["SmartTV", "ChromeCast", "Speaker", "Earphone"],"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})使用求总和eval()。带有总和的结果列也在eval().该表达式显示分配给结果列的总和公式-
dataFrame = dataFrame.eval('Result_Sum = Opening_Stock + Closing_Stock')示例
以下是完整的代码-
import pandas as pd
dataFrame = pd.DataFrame({"Product": ["SmartTV", "ChromeCast", "Speaker", "Earphone"],"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})
print("DataFrame...\n",dataFrame)
#findingsumusingeval()
#theresultantcolumnwiththesumisalsomentionedintheeval()
#theexpressiondisplaysthesumformulaeassignedtotheresultantcolumn
dataFrame = dataFrame.eval('Result_Sum = Opening_Stock + Closing_Stock')
print("\nSumming rows...\n",dataFrame)输出结果这将产生以下输出-
DataFrame...
Product Opening_Stock Closing_Stock
0 SmartTV 300 200
1 ChromeCast 700 500
2 Speaker 1200 1000
3 Earphone 1500 900
Summing rows...
Product Opening_Stock Closing_Stock Result_Sum
0 SmartTV 300 200 500
1 ChromeCast 700 500 1200
2 Speaker 1200 1000 2200
3 Earphone 1500 900 2400