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输出结果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 "Maximum value of column ", col, " and its corresponding row values:\n", max_x
col = "y"
max_x = df.loc[df[col].idxmax()]
print "Maximum value of column ", col, " and its corresponding row values:\n", max_x
col = "z"
max_x = df.loc[df[col].idxmax()]
print "Maximum value of column ", col, " and its corresponding row values:\n", max_x
Input DataFrame is:x y z
0 5 4 9
1 2 7 3
2 7 5 5
3 0 1 1
Maximum value of column x and its corresponding row values:
x 7
y 5
z 5
Name: 2, dtype: int64
Maximum value of column y and its corresponding row values:
x 2
y 7
z 3
Name: 1, dtype: int64
Maximum value of column z and its corresponding row values:
x 5
y 4
z 9
Name: 0, dtype: int64
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