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software_development:python_pandas [2022/08/04 15:11] prgram [Selects] |
software_development:python_pandas [2023/05/16 15:17] (current) prgram [encoding_errors - 'ignore'] |
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| df[~( df['a'].isin(['1','2','3']) & df['b']=='3' )] #row-wise | df[~( df['a'].isin(['1','2','3']) & df['b']=='3' )] #row-wise | ||
| + | df.loc[~( df['a'].isin(['1','2','3']) & df['b']=='3' ), 8] #row-wise & column | ||
| </code> | </code> | ||
| Line 122: | Line 123: | ||
| | | ||
| =====I/O file===== | =====I/O file===== | ||
| + | |||
| + | === encoding_errors - 'ignore'=== | ||
| + | Encoding 제대로 했는데도 안되면.. | ||
| + | 공공데이터가 이런 경우가 많음. | ||
| + | |||
| + | Error tokenizing data. C error: EOF inside string starting at row 0 | 판다스 에러 | ||
| + | https://con2joa.tistory.com/m/60 | ||
| + | quoting=csv.QUOTE_NONE 파라미터 | ||
| + | |||
| + | <code python> | ||
| + | import chardet | ||
| + | with open(file, 'rb') as rawdata: | ||
| + | result = chardet.detect(rawdata.read(100000)) | ||
| + | result | ||
| + | |||
| + | |||
| + | data = pd.read_csv( file, encoding='cp949', encoding_errors='ignore') | ||
| + | # on_bad_lines='skip' | ||
| + | # error_bad_lines=False | ||
| + | </code> | ||
| === to_numberic === | === to_numberic === | ||
