f819a34e2fbea2dab4997b3b236b517fa12d115d,examples/02_predict_employee_salaries.py,,,#,115
Before Change
import matplotlib.pyplot as plt
f, ax = plt.subplots()
ax.boxplot(all_scores, vert=False)
ax.set_yticklabels(encoding_methods)
After Change
// --------------------
// Finally, we plot the scores on a boxplot:
import seaborn
ax = seaborn.boxplot(data=pd.DataFrame(all_scores), orient="h")
import matplotlib.pyplot as plt
plt.ylabel("Encoding", size=17)
plt.xlabel("Prediction accuracy", size=17)
plt.yticks(size=17)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: dirty-cat/dirty_cat
Commit Name: f819a34e2fbea2dab4997b3b236b517fa12d115d
Time: 2018-06-08
Author: gael.varoquaux@normalesup.org
File Name: examples/02_predict_employee_salaries.py
Class Name:
Method Name:
Project Name: dirty-cat/dirty_cat
Commit Name: f819a34e2fbea2dab4997b3b236b517fa12d115d
Time: 2018-06-08
Author: gael.varoquaux@normalesup.org
File Name: examples/03_midwest_survey.py
Class Name:
Method Name:
Project Name: dmnfarrell/pandastable
Commit Name: 8e32a310cd420b6d2c0b59586f19120f256f0d4b
Time: 2015-07-26
Author: farrell.damien@gmail.com
File Name: pandastable/plotting.py
Class Name: PlotViewer
Method Name: _doplot