I have a pandas DataFrame `df` with a few `datetime` columns. In the Python console a sample of the frame is displayed like this:

```
>>> df

         action             dt_completed              dt_created             dt_modified 
39       update  2010-11-07 22:04:48.668 2010-06-07 07:23:40.536 2017-07-17 06:12:48.059 
6056    release  2010-03-25 10:44:42.575 2010-03-24 17:21:54.751 2017-07-17          NaN 
5913    publish  2018-12-15 11:12:13.000 2018-12-14 00:30:58.393 2018-12-15 11:12:17.441 
7589     create  2011-09-03 22:55:23.656 2011-08-11 12:48:23.543 2011-09-03 22:55:23.656 

```

When I explore the DataFrame I'm only interested in seeing the *date* portion of the `datetime` value. How can I tell pandas to display a DataFrame *on the console* only with the date portions of `datetime` values? 

I looking for something like [display.precision](https://pandas.pydata.org/pandas-docs/stable/user_guide/options.html#available-options), but for `datetimes` not for `floats`. Or some way to (globally?) overwrite pandas' datetime-to-string conversion function.

---

**Please note:** I'm not after *changing* the values in the `datetime` columns to dates or after adding new columns with shortened fields, but rather I'm looking to alter the *display* of the `datetime` columns in the console only.