Pandas:如何在列中拆分元组数据并创建多个列

时间:2018-01-25 14:38:05

标签: python pandas geopy

我创建了一个列,其中包含国家/地区名称,以及一列中的纬度和经度值。现在我希望纬度值和经度值在不同的列中。

用于创建列的代码。

df ['Country_cord'] = df ['Country']。apply(geolocator.geocode)

这就是输出的样子。

0                     (España, (40.0028028, -4.003104))
1     (United Kingdom, دبي‎, الإمارات العربيّة المتّ...
2     (France métropolitaine, France, (46.603354, 1....
3     (United States of America, (39.7837304, -100.4...
4                     (Italia, (42.6384261, 12.674297))
5       (Deutschland, Europe, (51.0834196, 10.4234469))
6               (Argentina, (-34.9964963, -64.9672817))
7                    (Ireland, (52.865196, -7.9794599))
8     (België / Belgique / Belgien, (50.6407351, 4.6...
9               (מדינת ישראל, (30.8760272, 35.0015196))
10    (Schweiz/Suisse/Svizzera/Svizra, (46.7985624, ...
11          (Nederland, (52.2379891, 5.53460738161551))
12                       (Brasil, (-10.3333333, -53.2))
13                  (Portugal, (40.033265, -7.8896263))
14                  (Australia, (-24.7761086, 134.755))
15                   (Danmark, (55.670249, 10.3333283))
16      (Maroc ⵍⵎⵖⵔⵉⴱ المغرب, (31.1728192, -7.3366043))
17    (Ciudad de México, Cuauhtémoc, CDMX, 06060, Mé...
18                 (Canada, (61.0666922, -107.9917071))
19                  (Sverige, (59.6749712, 14.5208584))

我想要输出的形式是我有一个纬度列和一个经度列。

df[lat]             df[lon]
40.0028028          46.603354
46.603354           1.8883335

2 个答案:

答案 0 :(得分:3)

我认为你可以使用double str []选择第一个secont元组,然后使用nestes元组中的第二个第一个nd第二个元素:

s = df['Country'].apply(geolocator.geocode).str[1]
df['lat'] = s.str[0]
df['lon'] = s.str[1]

或使用DataFrame构造函数:

s = df['Country'].apply(geolocator.geocode).str[1]
df = df.join(pd.DataFrame(s.values.tolist(), columns=['lat', 'lon']))

<强>示例

print (df)
                                Country
0  (Canada, (61.0666922, -107.9917071))
1   (Sverige, (59.6749712, 14.5208584))

s = df['Country'].str[1]
df = df.join(pd.DataFrame(s.values.tolist(), columns=['lat', 'lon']))
print (df)
                                Country        lat         lon
0  (Canada, (61.0666922, -107.9917071))  61.066692 -107.991707
1   (Sverige, (59.6749712, 14.5208584))  59.674971   14.520858

答案 1 :(得分:3)

在numpy数组上压缩生成器表达式对此非常有效:

import pandas as pd

df = pd.DataFrame([[('Country1', (341.123, 4534.123))],
                   [('Country2', (341.123, 4534.123))],
                   [('Country3', (341.123, 4534.123))],
                   [('Country4', (341.123, 4534.123))]],
                  columns=['Series1'])

df['Lat'], df['Lon'] = list(zip(*((x[1][0], x[1][1]) for x in df['Series1'].values)))