@twotoed Hi, do not be discouraged, Pythonista is great, it is maintained by one person and for this reason can't be compared to a PC python environment (don't forgive the limits imposed by Apple about a lot of things...).
Anyway, as @dgelessus and @JonB suggested, a good way is to install in Pythonista the library you need, if it is impossible download and extract it in Pythonista site-package folder. Then find, inside the installed lib you want to use, all names of libraries not installable in Pythonista, like scipy, and comment them: you must find alternatives (in most cases you need to search internet for numerical recipes or for pure-python libs).
I know, in python world I'm also frustrated when I must download a big python lib even if I use only 3% of all features available in that lib.
About the lib matplotlib-venn, the only scipy request is, as @JonB pointed, a numerical root solver that is brentq, that you can replace with a similar one Pythonista has in built-in mpmath lib.
A solution using function findroot that you find in mpmath lib (already implemented in Pythonista) is:
open _math.py in main folder of matplotlib-venn comment the scipy importing and adding in place of it: from mpmath import * where you find the command: return brentq(lambda x: circle_intersection_area(r, R, x) - a, R - r, R + r) modify it by writing return findroot(lambda x: circle_intersection_area(r, R, x) - a, R) where R is the average between 'R-r' and 'R+r' of the brentq function. save _math.pyNow you should be able to run the folowing test example that I found in Stackoverflow:
import matplotlib.pyplot as plt from matplotlib_venn import venn3, venn3_circles v = venn3(subsets=(1,1,0,1,0,0,0)) v.get_label_by_id('100').set_text('First') v.get_label_by_id('010').set_text('Second') v.get_label_by_id('001').set_text('Third') plt.title("Not a Venn diagram") plt.show()Bye
Regards