Question

我有一个包含多个包含多个值列表的单元格的数据框。我想扩展数据框架，而不是在一个单元格中存储多个值，这样列表中的每个项目都会获得自己的行，而其他所有列中的值都相同。我有示例代码和输出附件，还有我要实现的目标

import pandas as pd
import numpy as np
df=pd.DataFrame({'OBJECTID':[1,2,3,4,5],
              'CRASH_KEY':[20191088662,20191088664,20191088668,20191088677,20191088678],
              'CASENUMBER':[20191088662,20191088664,20191088668,20191088677,20191088679],
              'routeId':[list(np.random.randn(3).round(2)) for i in range(5)],
              'measure':[list(np.random.randn(3).round(2)) for i in range(5)],
              'SPEED_LIMIT':[list(np.random.randn(3).round(2)) for i in range(5)],
              'distance':[list(np.random.randn(3).round(2)) for i in range(5)],})

df 我的输出

OBJECTID    CRASH_KEY   CASENUMBER  ...                measure           SPEED_LIMIT               distance
 0         1  20191088662  20191088662  ...   [-0.24, -0.78, -0.7]   [-1.28, 0.11, -0.7]   [-0.98, 0.06, -1.07]
 1         2  20191088664  20191088664  ...   [-0.94, -0.98, 1.31]  [-1.26, 1.31, -2.24]  [-1.21, -1.21, -0.35]
 2         3  20191088668  20191088668  ...  [-0.21, -0.99, -0.25]  [-1.36, -0.59, 0.02]   [0.22, -1.36, -0.64]
 3         4  20191088677  20191088677  ...    [0.31, -0.56, 0.95]  [-0.92, -1.04, 0.59]      [1.88, 0.3, 0.95]
 4         5  20191088678  20191088679  ...    [-0.07, 1.02, 2.14]  [-0.49, -0.66, 0.07]   [-0.27, -0.12, 0.36]

这就是我要实现的目标

         OBJECTID    CRASH_KEY   CASENUMBER  measure SPEED_LIMIT  distance
    0         1  20191088662  20191088662   -0.24      -1.28    -0.98
    1         1  20191088662  20191088662   -0.78       0.11     0.06
    2         1  20191088662  20191088662    -0.7      -0.7     -1.07

列表中的多个Pandas列，想要扩展并为每个列表元素创建一行

0 个答案: