[Tutor] Matplotlib.pyplot - How to Insert Computed values in Plot Legend

[Stephen P. Molnar]

I have written a Python script to plot Linear Regression results using 
python-3.7.3 with matplotlib-3.3.0 on my Debian Buster platform.


The script also calculates a number of statistical parameters as well as 
the slope (b-sub-1) and intercept (b-sub-0) of the regression line. 
However, there remain several problems for which I have not be able to 
find a solution, in spite of Google.

The code for the plot legend at this point is:

red_patch = mpatches.Patch(label='A = b$_1$*log(IC$_5$$_0$) - b$_0$ 
\nr$^2$ = ')
.
.
.
plt.legend(handles=[red_patch], loc='lower right', frameon=False)

1. How can I insert formatted values for the slope, intercept i and r-sq 
in the legend?
2. How can I change the blue line in the legend to the same thickness of 
the regression line?

I would greatly appreciate assistance in resolving these problems.

Thanks in advance.

-- 
Stephen P. Molnar, Ph.D.
www.molecular-modeling.net
614.312.7528 (c)
Skype:  smolnar1