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![python - When I do pd.read_csv('FileName.csv', index_col=[0], parse_dates = [0]) it's different from pd.read_csv('FileName.csv'), when I do .dtypes(), why? - Stack Overflow](https://i.stack.imgur.com/7etcn.png "python - When I do pd.read_csv('FileName.csv', index_col=[0], parse_dates = [0]) it's different from pd.read_csv('FileName.csv'), when I do .dtypes(), why? - Stack Overflow")
python - When I do pd.read_csv('FileName.csv', index_col=[0], parse_dates = [0]) it's different from pd.read_csv('FileName.csv'), when I do .dtypes(), why? - Stack Overflow
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python - Pandas.read_csv(,parse_dates,) forces to make a column of float data into string - Stack Overflow
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![python - When I do pd.read_csv('FileName.csv', index_col=[0], parse_dates = [0]) it's different from pd.read_csv('FileName.csv'), when I do .dtypes(), why? - Stack Overflow](https://i.stack.imgur.com/orOwe.png "python - When I do pd.read_csv('FileName.csv', index_col=[0], parse_dates = [0]) it's different from pd.read_csv('FileName.csv'), when I do .dtypes(), why? - Stack Overflow")
python - When I do pd.read_csv('FileName.csv', index_col=[0], parse_dates = [0]) it's different from pd.read_csv('FileName.csv'), when I do .dtypes(), why? - Stack Overflow
6 Useful Tricks for Handling CSV Files With pandas.read_csv() | Python in Plain English
