如何对数据框中的值列表进行赋值？ 获取错误“浮动”对象不可下标

Question

I'm having trouble getting values from a dataframe I created from open weather data.

0                                 NaN
1        {'lon': -17.1, 'lat': 32.67}
2       {'lon': -73.36, 'lat': 41.14}
3       {'lon': 18.42, 'lat': -33.93}
4      {'lon': -53.81, 'lat': -29.68}
                    ...              
617     {'lon': -88.69, 'lat': 41.99}
618                               NaN
619    {'lon': -108.22, 'lat': 36.73}
620     {'lon': -73.58, 'lat': 40.66}
621      {'lon': 28.92, 'lat': 61.87}
Name: coord, Length: 622, dtype: object

I am attempting to get a list including only lat values. My initial thought has been to run a loop and append a list however I'm getting the error "TypeError: 'float' object is not subscriptable"

here is my code:

lat = []
for i in coord:
    lat.append(i['lat'])

desired output:

[32.67, 41.14, -33.93, -29.68, ..., 41.99, NaN, 36.73, 40.66, 61.87]

Answer 1

Some of the rows of your dataframe just contain NaN , not a dictionary. You need to check for that.

import math

lat = []
for i in coord:
    if math.isnan(i):
        lat.append(NaN)
    else:
        lat.append(i['lat']

I'm not sure why you're putting dictionaries in a dataframe, it defeats the purpose of using pandas. You should make them separate columns in the df. Then you would be able to use:

lat = coords['lat'].tolist()

Answer 2

This should do the trick for you:

lat=coord.str["lat"]
lon=coord.str["lon"]