b4a0bacd5954d39e58e48bdba71d46cf3a777c07,experiment.py,,,#,7
Before Change
for key in joined:
print(key)
temp = joined[key]
out = pd.concat([temp[0].var(1), (temp[1] ** 2).mean(1), (temp[2] ** 2).mean(1), (temp[3] ** 2).mean(1), (temp[4] ** 2).mean(1)],1)
print(out)
After Change
print(key)
temp = joined[key]
out = [temp[0].var(1)]
for i in range(1,len(temp)):
out.append((temp[i] ** 2).mean(1))
out = pd.concat(out,1)
print(out)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: bashtage/linearmodels
Commit Name: b4a0bacd5954d39e58e48bdba71d46cf3a777c07
Time: 2017-04-11
Author: kevin.k.sheppard@gmail.com
File Name: experiment.py
Class Name:
Method Name:
Project Name: SheffieldML/GPy
Commit Name: fce4dd7fdea42d24abb14396d02bf1bf475e15d7
Time: 2013-04-01
Author: neil@stefano.(none)
File Name: GPy/util/mocap.py
Class Name:
Method Name: load_text_data
Project Name: masa-su/pixyz
Commit Name: e001dfad8ac1f74fa7acc99a191cbe01cc02b219
Time: 2018-11-10
Author: ishohei220@gmail.com
File Name: pixyz/distributions/distributions.py
Class Name:
Method Name: mean_sum_samples