In [1]:

from reactpy import Reactive
import numpy as np
import pandas as pd

In [2]:

r = Reactive()
r.a = 2
r.b = r(lambda a: a*a)
before = r.b
with r.context(a=5):
    during = r.b
after = r.b
before, during, after

Out[2]:

(4, 25, 4)

In [3]:

r = Reactive()
r.c = r(lambda a,b: abs(a-b))
r.result = r(lambda a,b,c: a*b + c)

data = {}
for a, b in ((a, b) for a in range(10) 
                    for b in range(10)):
    with r.context(a=a, b=b):
        data[(r.a, r.b)] = r.result 

In [4]:

pd.Series(data).unstack()

Out[4]:

	0	1	2	3	4	5	6	7	8	9
0	0	1	2	3	4	5	6	7	8	9
1	1	1	3	5	7	9	11	13	15	17
2	2	3	4	7	10	13	16	19	22	25
3	3	5	7	9	13	17	21	25	29	33
4	4	7	10	13	16	21	26	31	36	41
5	5	9	13	17	21	25	31	37	43	49
6	6	11	16	21	26	31	36	43	50	57
7	7	13	19	25	31	37	43	49	57	65
8	8	15	22	29	36	43	50	57	64	73
9	9	17	25	33	41	49	57	65	73	81

	0	1	2	3	4	5	6	7	8	9
0	0	1	2	3	4	5	6	7	8	9
1	1	1	3	5	7	9	11	13	15	17
2	2	3	4	7	10	13	16	19	22	25
3	3	5	7	9	13	17	21	25	29	33
4	4	7	10	13	16	21	26	31	36	41
5	5	9	13	17	21	25	31	37	43	49
6	6	11	16	21	26	31	36	43	50	57
7	7	13	19	25	31	37	43	49	57	65
8	8	15	22	29	36	43	50	57	64	73
9	9	17	25	33	41	49	57	65	73	81

	0	1	2	3	4	5	6	7	8	9
0	0	1	2	3	4	5	6	7	8	9
1	1	1	3	5	7	9	11	13	15	17
2	2	3	4	7	10	13	16	19	22	25
3	3	5	7	9	13	17	21	25	29	33
4	4	7	10	13	16	21	26	31	36	41
5	5	9	13	17	21	25	31	37	43	49
6	6	11	16	21	26	31	36	43	50	57
7	7	13	19	25	31	37	43	49	57	65
8	8	15	22	29	36	43	50	57	64	73
9	9	17	25	33	41	49	57	65	73	81

	0	1	2	3	4	5	6	7	8	9
0	0	1	2	3	4	5	6	7	8	9
1	1	1	3	5	7	9	11	13	15	17
2	2	3	4	7	10	13	16	19	22	25
3	3	5	7	9	13	17	21	25	29	33
4	4	7	10	13	16	21	26	31	36	41
5	5	9	13	17	21	25	31	37	43	49
6	6	11	16	21	26	31	36	43	50	57
7	7	13	19	25	31	37	43	49	57	65
8	8	15	22	29	36	43	50	57	64	73
9	9	17	25	33	41	49	57	65	73	81