如何使用 pandas 将度分秒 (DMS) 数据直接从 .CSV 文件读取到数据帧中作为字符串？

Question

如何使用 pandas 将度分秒 (DMS) 数据直接从 .CSV 文件读取到数据帧中作为字符串？例如：如果我有一个包含 DMS 格式数据列的 csv 文件，如何将其作为字符串读入数据框以供进一步计算？

76° 17' 51.2399" E
77° 26' 30.8322" E
76° 51' 29.7812" E
75° 45' 41.3540" E
76° 17' 51.2399" E

输入文件示例：enter link description here

当我使用pandas.read_csv('test.csv) #test.csv是输入文件我收到一个错误

Traceback (most recent call last):

  File "<ipython-input-90-2af7440e7795>", line 1, in <module>
    df = pd.read_csv('test.csv')

  File "C:\ProgramData\Anaconda3\envs\obspy\lib\site-packages\pandas\io\parsers.py", line 676, in parser_f
    return _read(filepath_or_buffer, kwds)

  File "C:\ProgramData\Anaconda3\envs\obspy\lib\site-packages\pandas\io\parsers.py", line 448, in _read
    parser = TextFileReader(fp_or_buf, **kwds)

  File "C:\ProgramData\Anaconda3\envs\obspy\lib\site-packages\pandas\io\parsers.py", line 880, in __init__
    self._make_engine(self.engine)

  File "C:\ProgramData\Anaconda3\envs\obspy\lib\site-packages\pandas\io\parsers.py", line 1114, in _make_engine
    self._engine = CParserWrapper(self.f, **self.options)

  File "C:\ProgramData\Anaconda3\envs\obspy\lib\site-packages\pandas\io\parsers.py", line 1891, in __init__
    self._reader = parsers.TextReader(src, **kwds)

  File "pandas\_libs\parsers.pyx", line 529, in pandas._libs.parsers.TextReader.__cinit__

  File "pandas\_libs\parsers.pyx", line 749, in pandas._libs.parsers.TextReader._get_header

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf8 in position 2: invalid start byte

Answer 1

CSV 文件：

id,string
1,76° 17' 51.2399" E
2,77° 26' 30.8322" E
3,76° 51' 29.7812" E
4,75° 45' 41.3540" E
5,76° 17' 51.2399" E

代码：

df = pd.read_csv('test.csv')
print(df)

   id              string
0   1  76° 17' 51.2399" E
1   2  77° 26' 30.8322" E
2   3  76° 51' 29.7812" E
3   4  75° 45' 41.3540" E
4   5  76° 17' 51.2399" E

能否分享您的 CSV 文件示例？

Answer 2

尝试使用不同的编码：

import pandas as pd
df = pd.read_csv('test1.csv', encoding='windows-1252')

如何使用 pandas 将度分秒 (DMS) 数据直接从 .CSV 文件读取到数据帧中作为字符串？

How to read Degree Minute Seconds (DMS) data directly from a .CSV file using pandas into a dataframe as strings?

python

pandas

geopandas