Python Pandas——查找列的最大值并返回其对应的行值


Pandas中寻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()]。让我们举个例子来加深理解。

步骤

  • 创建一个二维、尺寸可变、具有异构表格数据的 df
  • 打印输入 DataFrame(数据框),df
  • 初始化一个变量,col,以找到该列的最大值。
  • 使用 df.loc[df[col].idxmax()] 找到最大值及其对应的
  • 打印步骤 4 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 "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

输出

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

修改日期:2023-08-27

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