johnmaxwelliv

metaknowledge = .1
cognition = .2

time = 100
steps_per_unit_time = 4
for i in range(time * steps_per_unit_time):
    if i % steps_per_unit_time == 0:
        print("At t = %d, cognition is %.2f and metaknowledge is %.2f." % (i / steps_per_unit_time, cognition, metaknowledge))
    d_metaknowledge = .2 * metaknowledge * cognition
    d_cognition = .2 * metaknowledge * cognition

johnmaxwelliv

from scipy.stats.stats import pearsonr
import csv

def show_correlation(data, var1, var2):
    has_both_vars = [line for line in data if line[var1] != ' ' and line[var2] != ' ']
    
    r = pearsonr([float(line[var1]) for line in has_both_vars], [float(line[var2]) for line in has_both_vars])[0]
    print('Correlation between "%s" and "%s": %.4f' % (var1, var2, r))
    print(' ')

johnmaxwelliv

import csv

"""
0 First I heard of this hack
1 I feel I should try this hack, but have never actually tried it
2 I tried this hack with disappointing results
3 I tried this hack with good results, but it stopped working
4 I tried this hack with good results, and I don't use it consistently, though I'd like to
5 I tried this hack with good results, and now use it consistently
6 I don't think this hack is worth trying