使用同一数据框中另一列的值在数据框中创建新列

Question

作为一名科研人员，我是Python的初学者。

我正在尝试在以下数据框中创建一个新列：

                            x      y      z   bat      gradient
date                                                       
2022-04-15 10:17:14.721  0.125  0.016  1.032  NaN    0.0320
2022-04-15 10:17:39.721  0.125 -0.016  1.032  NaN    0.0000
2022-04-15 10:18:04.721  0.125  0.016  1.032  NaN    0.0000
2022-04-15 10:18:29.721  0.125 -0.016  1.032  NaN    0.0000
2022-04-15 10:18:54.721  0.125  0.016  1.032  NaN    0.0160
                       ...    ...    ...  ...       ...
2022-05-02 17:03:04.721 -0.750 -0.016  0.710  NaN    0.7855
2022-05-02 17:03:29.721 -0.750 -0.016  0.710  NaN    1.4420
2022-05-02 17:03:54.721  0.719 -0.302 -0.419  NaN    0.8690
2022-05-02 17:04:19.721 -0.625 -0.048 -0.871  NaN    1.1965
2022-05-02 17:04:44.721 -0.969  0.016 -0.032  NaN    1.2470

而且我有某些 limits/intervals（来自箱线图的胡须）：

limit_start_A = 0.15
limit_end_A = 0.20

limit_start_B =0.20
limit_end_B = 0.40

limit_start_C = 0.40
limit_end_C = 0.90

limit_start_D = 0.90
limit_end_D = 1.1

我想根据“梯度”列中的值创建一个名为“结果”的新列。因此，当渐变的值介于“limit_start_B - limit_start_B”的 limit/interval 之间时，它会为新“结果”列中的行提供字母“B”。

Answer 1

不要使用那么多变量，而是使用列表和 pandas.cut:

limits = [0.15, 0.20, 0.40, 0.90, 1.1]
labels = ['A', 'B', 'C', 'D']

df['result'] = pd.cut(df['gradient'], bins=limits, labels=labels)

输出：

                             x      y      z  bat  gradient result
date                                                              
2022-04-15 10:17:14.721  0.125  0.016  1.032  NaN    0.0320    NaN
2022-04-15 10:17:39.721  0.125 -0.016  1.032  NaN    0.0000    NaN
2022-04-15 10:18:04.721  0.125  0.016  1.032  NaN    0.0000    NaN
2022-04-15 10:18:29.721  0.125 -0.016  1.032  NaN    0.0000    NaN
2022-04-15 10:18:54.721  0.125  0.016  1.032  NaN    0.0160    NaN
2022-05-02 17:03:04.721 -0.750 -0.016  0.710  NaN    0.7855      C
2022-05-02 17:03:29.721 -0.750 -0.016  0.710  NaN    1.4420    NaN
2022-05-02 17:03:54.721  0.719 -0.302 -0.419  NaN    0.8690      C
2022-05-02 17:04:19.721 -0.625 -0.048 -0.871  NaN    1.1965    NaN
2022-05-02 17:04:44.721 -0.969  0.016 -0.032  NaN    1.2470    NaN

使用同一数据框中另一列的值在数据框中创建新列

creating new column in dataframe with the values from another column in the same dataframe

python

intervals

dataframe

pandas