Trying to Find Optimal Price Point in a Data Set

I have a data set that looks like this.

Year    Quarter Quantity    Price
2000    1   23  142
2000    2   23  144
2000    3   23  147
2000    4   23  151
2001    1   22  160
2001    2   22  183
2001    3   22  186
2001    4   22  186
2002    1   21  212
2002    2   19  232
2002    3   19  223
2002    4   19  224
2003    1   19  231
2003    2   19  228
2003    3   19  238
2003    4   19  238
2004    1   19  234
2004    2   19  231
2004    3   20  239
2004    4   19  235
2005    1   19  233
2005    2   19  243
2005    3   20  244
2005    4   19  233
2006    1   19  234
2006    2   19  241

I am trying to figure out a pricing strategy to maximize revenue (optimal price) using Python. I found a few example online, but didn't know how to adapt them to my specific scenario.

This one looks good, but I'm not sure how to modify it to fit my data set.

https://www.datascience.com/resources/notebooks/python-dynamic-pricing

This one looks goo too, but again, I'm not sure how to make it work for me.

https://cscherrer.github.io/post/max-profit/

If someone here knows how to modify the sample code at one of those sites to fit the data I'm working with, I'd really like to see it. Or, if you have a link to another site that answers my question, please do share it. Thanks!

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