DOC: read_csv and parameter date_format add example of a dict of columns

[BdR76]

Pandas version checks

• I have checked that the issue still exists on the latest versions of the docs on main here

Location of the documentation

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html#:~:text=str%20or%20dict%20of%20column

Documentation problem

The read_csv has a parameter date_format which can can be "str or dict of columns" but it's not made clear dict of column.

When my csv file has 3 date columns and all are formatted as '%d-%m-%Y' then it's easy, I understand I can use date_format='%d-%m-%Y'. But when 2 columns are formatted as %d-%m-%Y and the last one is formatted %d-%m-%Y %H:%M:%S then not clear how the parametre should given?

Suggested fix for documentation

Can someone add a dict example to the documentation of the read_csv and the date_format parameter? I understand the documentation is generated from the sourcecode. But I couldn't find where the source code for read_csv is located on github

[Aloqeely]

In general, I agree that read_csv does not have any useful examples which I think we should improve, but I don't think we should add an example to demonstrate the use of every parameter.
For this specific case, I think it's better to improve the docstring of date_format, maybe it should say: 'dict of column names', or maybe in the description of the parameter we could mention that the dict will be in the form of: {column: format}