Python Pandas - 查找列的最大值并返回其对应的行值
要在Pandas中查找列的最大值并返回其对应的行值，我们可以使用df.loc[df[col]。idxmax()]。让我们举一个例子来更好地理解它。
步骤
创建二维、大小可变、潜在异构的表格数据df。
打印输入数据帧，df。
初始化变量col以查找该列的最大值。
使用df.loc[df[col]查找最大值及其对应的行。idxmax()]
打印第4步的输出。
示例
import pandas as pd
df = pd.DataFrame(
{
"x": [5, 2, 7, 0],
"y": [4, 7, 5, 1],
"z": [9, 3, 5, 1]
}
)
print "Input DataFrame is:\n", df
col = "x"
max_x = df.loc[df[col].idxmax()]
print "Maximumvalueofcolumn ", col, " and its corresponding row values:\n", max_x
col = "y"
max_x = df.loc[df[col].idxmax()]
print "Maximumvalueofcolumn ", col, " and its corresponding row values:\n", max_x
col = "z"
max_x = df.loc[df[col].idxmax()]
print "Maximumvalueofcolumn ", col, " and its corresponding row values:\n", max_x输出结果Input DataFrame is: x y z 0 5 4 9 1 2 7 3 2 7 5 5 3 0 1 1 Maximumvalueofcolumn x and its corresponding row values: x 7 y 5 z 5 Name: 2, dtype: int64 Maximumvalueofcolumn y and its corresponding row values: x 2 y 7 z 3 Name: 1, dtype: int64 Maximumvalueofcolumn z and its corresponding row values: x 5 y 4 z 9 Name: 0, dtype: int64