ValueError: int() 以 10 为底的无效文字：'81?36N'

Question

Traceback (most recent call last):
  File "/Users/HectorVelasquez/PycharmProjects/Project 1/Project 1 python.py", line 57, in <module>
    df['log'] = df['Latitude'].apply(lambda x: convert_rad(x))
  File "/Users/HectorVelasquez/PycharmProjects/Project 1/venv/lib/python3.7/site-packages/pandas/core/series.py", line 4045, in apply
    mapped = lib.map_infer(values, f, convert=convert_dtype)
  File "pandas/_libs/lib.pyx", line 2228, in pandas._libs.lib.map_infer
  File "/Users/HectorVelasquez/PycharmProjects/Project 1/Project 1 python.py", line 57, in <lambda>
    df['log'] = df['Latitude'].apply(lambda x: convert_rad(x))
  File "/Users/HectorVelasquez/PycharmProjects/Project 1/Project 1 python.py", line 7, in convert_rad
    degree = int(temp[0]) + int(temp[1][:-1])/60
ValueError: invalid literal for int() with base 10: '81?36N'

text file I don't know how to fix the error.

Latitude Longitude City Province/State Country

81?36N 16?40W Nord Greenland Denmark

79?59N 85?56W Eureka Nunavut Canada

78?55N 11?56E Ny-?lesund Svalbard Norway

78?13N 15?39E Longyearbyen Svalbard Norway

conversion function

def convert_rad(lon):
    temp = lon.split('°')
    degree = int(temp[0]) + int(temp[1][:-1])/60
    direction = temp[1][-1]
    if direction=='N' or direction=='E':
        sign = 1
    elif direction=='S' or direction=='W':
        sign = -1

return degree*sign*np.pi/180
Latitude_66N = convert_rad('66°0N')
Latitude_35N_66N = convert_rad('35°0N')
Latitude_35S_35N = convert_rad('35°0S')
Latitude_35S_66S = convert_rad('66°0N')
Latitude_66S = convert_rad('66°0N')
lon = convert_rad('37°22N')
lat = convert_rad('120°42W')

Image: Line 57

Answer 1

Try debugging your problem a little and ask a minimal version of it, with enough code to reproduce it elsewhere (eg file and functions). If you look at your traceback you can see the error is on the first line. In general text is much much more useful than screenshots of text. That being said

df = pd.read_csv('cities.txt', sep='\t', encoding='latin_1')
df['log'] = df['Latitude'].apply(lambda x: convert_rad(x))

Ignoring the backwards 'log' and 'Latitude' , I can see from your traceback your custom function convert_rad has

degree = int(temp[0]) + int(temp[1][:-1])/60

somewhere in it. Try taking a look at your csv file for the string 81?36N , or just using the first few lines of the file.