This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
sample Python code of running a shuffling and sampling of two populations |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
import matplotlib | |
matplotlib.style.use('ggplot') | |
%matplotlib inline | |
### scores | |
craft_mean = np.mean(frsq_311.groupby(['dba', 'street', 'inspection_date'])['score'].mean()) | |
print craft_mean | |
# Out: | |
# 12.890173410404625 | |
other_mean = np.mean(manHealth[~manHealth.camis.isin(frsq_311.camis)].groupby(['dba', 'street', 'inspection_date'])['score'].mean()) | |
print other_mean | |
# Out: | |
# 14.67555658952399 | |
score_diff = other_mean - craft_mean | |
score_diff | |
# Out: | |
# 1.785383179119366 | |
print len(scores_craft) | |
scores_all = np.append(scores_craft, scores_other) | |
print scores_all | |
# Out: | |
# 177 | |
### shuffle, sample, diff | |
mean_diff_list = [] | |
for i in range(10000): | |
np.random.shuffle(scores_all) | |
x = scores_all[177:] | |
y = scores_all[:177] | |
mean_diff_list.append(x.mean() - y.mean()) | |
print np.sum(np.array(mean_diff_list) > score_diff)/float(len(mean_diff_list)) | |
# Out: | |
# 0.0082 | |
### plot | |
plt.figure(figsize=(10,5)) | |
plt.hist(mean_diff_list, bins=50) | |
plt.plot([score_diff, score_diff], [0, 700]) | |
plt.title("Ten Thousand Shuffle & Compare Simulations") | |
plt.xlabel("Difference in Score Means") | |
plt.text(-3.5, 10.0, 'endlesspint.com', | |
fontsize=12, color='gray', | |
ha='left', va='bottom', alpha=0.3) | |
### save file localy w high(er) resolution | |
# plt.savefig('img/diff_hist.png', dpi=300) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment