![How to “read_csv” with Pandas. Use read_csv as a versatile tool | by Soner Yıldırım | Towards Data Science How to “read_csv” with Pandas. Use read_csv as a versatile tool | by Soner Yıldırım | Towards Data Science](https://miro.medium.com/max/1030/1*jpz14MvHESFJ5dN9fPFkdQ.png)
How to “read_csv” with Pandas. Use read_csv as a versatile tool | by Soner Yıldırım | Towards Data Science
![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](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 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)