Hi Pieter,
Thanks for pointing this PR out. That certainly fixes the immediate problem
with the inconsistent print statements that I highlighted in my original
message.
It doesn't address the more fundamental problem, though, which is that the
default behavior is to represent the polynomial in
To follow up on these comments, an enhancement proposal
(https://github.com/numpy/numpy/pull/20889), which would enable
numpy.polynomial.polynomial.polyfit to return the covariance matrix, appears to
be moving forward. This is great news, and addresses item (1) of my previous
message.
After th
g multiple GitHub issues that
span over five years. I'm interested in this module because I've prepared some
educational resources for using Python to do data analysis in the physical
sciences (https://github.com/jsdodge/data-analysis-python), and these include
how to use numpy.polyfit fo
