Question

[[[12, 71.2989367, -156.7286143, Samuel Simmonds Memorial Hospital, 4], [4, 64.8311569, -147.7399471, Fairbanks Memorial Hospital, 4].1, [6, 64.4993412, -165.3776787, Norton Sound Regional Hospital, 4].2, [5, 61.56316029999999, -149.2576383, Mat-Su Regional Medical Center, 4]]

需要将其转换为类似数据框上的内容：

ID  Lat           Long            Name                         Level

12, 71.2989367, -156.7286143, Samuel Simmonds Memorial Hospital, 4
4, 64.8311569, -147.7399471, Fairbanks Memorial Hospital, 4
6, 64.4993412, -165.3776787, Norton Sound Regional Hospital, 4

Answer 1

非常简单。引用字符串，删除列表中的多余级别。

import pandas as pd

input_data = [[12, 71.2989367, -156.7286143, 'Samuel Simmonds Memorial Hospital', 4],
              [4, 64.8311569, -147.7399471, 'Fairbanks Memorial Hospital', 4],
              [6, 64.4993412, -165.3776787, 'Norton Sound Regional Hospital', 4],
              [5, 61.56316029999999, -149.2576383, 'Mat-Su Regional Medical Center', 4]]

df = pd.DataFrame(input_data,
                    columns=['ID', 'Lat', 'Long', 'Name', 'Level'])

结果：

    ID  Lat     Long    Name    Level
0   12  71.298937   -156.728614     Samuel Simmonds Memorial Hospital   4
1   4   64.831157   -147.739947     Fairbanks Memorial Hospital     4
2   6   64.499341   -165.377679     Norton Sound Regional Hospital  4
3   5   61.563160   -149.257638     Mat-Su Regional Medical Center  4

Answer 2

常规DataFrame构造函数应该执行此操作，只需记住您的数据中有一些红色.是三层嵌套列表（因此您需要使用[0]进行访问）

import pandas as pd

data = [[
    [12, 71.2989367, -156.7286143, "Samuel Simmonds Memorial Hospital", 4],
    [4, 64.8311569, -147.7399471, "Fairbanks Memorial Hospital", 4],
    [6, 64.4993412, -165.3776787, "Norton Sound Regional Hospital", 4],
    [5, 61.56316029999999, -149.2576383, "Mat-Su Regional Medical Center", 4]
]]

df = pd.DataFrame(data[0], columns=["ID","Lat","Long","Name","Level"])

print(df)

输出：

   ID        Lat        Long                               Name  Level
0  12  71.298937 -156.728614  Samuel Simmonds Memorial Hospital      4
1   4  64.831157 -147.739947        Fairbanks Memorial Hospital      4
2   6  64.499341 -165.377679     Norton Sound Regional Hospital      4
3   5  61.563160 -149.257638     Mat-Su Regional Medical Center      4

我在列表中有一个列表，需要将其放入dataFrame中

2 个答案: