read_csv not correctly parsing dates when parse_dates is string and index_col not set · Issue #5636 · pandas-dev/pandas · GitHub
import pandas as pd # Load the dataset and ensure | Chegg.com
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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
How to Build a pandas DataFrame from Multiple Files - DEV Community 👩💻👨💻
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![In [2] : import numpy as np import pandas as pd | Chegg.com](https://media.cheggcdn.com/media/39e/39e4a4f8-4d3f-474a-ad46-49c36d53cb2c/phpGQwcWI "In [2] : import numpy as np import pandas as pd | Chegg.com")
In [2] : import numpy as np import pandas as pd | Chegg.com
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
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