INNER CODE UNIT · Python
overlap
tuangauss/DataScienceProjects · Python/lincoln_estimate.py:19
overlap = np.sum(like_post_1 & like_post_2)
naive_estimates.append(like_post1_count + like_post2_count - overlap)
if overlap > 0:
lincoln_estimates.append(like_post1_count*like_post2_count / float(overlap))
return naive_estimates, lincoln_estimates
def calc_stats(arr):
return (
np.mean(arr),
np.std(arr, ddof=1),
np.mean(arr) - 1.96*np.std(arr, ddof=1),
np.mean(arr) + 1.96*np.std(arr, ddof=1)
)
sims = [[0.3, 0.5], [0.6, 0.4], [0.7, 0.8], [0.9, 0.9]]
# create 2 lists, 1 of data frame of values, 1 of titles