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Legal StudiesPython——计算 Pandas DataFrame 的最大列值
若要获取最大列值，请使用 max() 函数。首先，导入必需的 Pandas 库 −
import pandas as pd
现在，创建含两列的 DataFrame −
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90] }
)使用 max() 查找单个列 “Units” 的最大值 −
print"Maximum Units from DataFrame1 = ",dataFrame1['Units'].max()
同理，我们从第 2 个 DataFrame 计算了最大值。
示例
以下为完整代码 −
import pandas as pd
# Create DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90] }
)
print"DataFrame1 ...\n",dataFrame1
# Finding maximum value of a single column "Units"
print"Maximum Units from DataFrame1 = ",dataFrame1['Units'].max()
# Create DataFrame2
dataFrame2 = pd.DataFrame(
{
"Product": ['TV', 'PenDrive', 'HeadPhone', 'EarPhone', 'HDD', 'SSD'],"Price": [8000, 500, 3000, 1500, 3000, 4000]
}
)
print"\nDataFrame2 ...\n",dataFrame2
# Finding maximum value of a single column "Price"
print"Maximum Price from DataFrame2 = ",dataFrame2['Price'].max()输出
这将产生以下输出 −
DataFrame1 ... Car Units 0 BMW 100 1 Lexus 150 2 Audi 110 3 Tesla 80 4 Bentley 110 5 Jaguar 90 Maximum Units from DataFrame1 = 150 DataFrame2 ... Price Product 0 8000 TV 1 500 PenDrive 2 3000 HeadPhone 3 1500 EarPhone 4 3000 HDD 5 4000 SSD Maximum Price from DataFrame2 = 8000
更新于： 20-Sep-2021
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