4c240baa0733f5c7b4423a671d70669335614dc0,examples/plot_auto_repair.py,,,#,28
Before Change
set_matplotlib_defaults(plt)
plt.figure(figsize=(18, 6))
ax = sns.heatmap(ar.bad_segments, xticklabels=10, yticklabels=20, square=True,
cbar=False, cmap="Reds")
ax.set_xlabel("Sensors")
ax.set_ylabel("Trials")
plt.setp(ax.get_yticklabels(), rotation=0)
After Change
set_matplotlib_defaults(plt)
plt.figure(figsize=(12, 6))
im = plt.imshow(ar.bad_segments, cmap="Reds", interpolation="nearest")
ax = im.get_axes()
ax.grid(False)
ax.set_xlabel("Sensors")
ax.set_ylabel("Trials")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: autoreject/autoreject
Commit Name: 4c240baa0733f5c7b4423a671d70669335614dc0
Time: 2017-01-10
Author: mainakjas@gmail.com
File Name: examples/plot_auto_repair.py
Class Name:
Method Name:
Project Name: autoreject/autoreject
Commit Name: 4c240baa0733f5c7b4423a671d70669335614dc0
Time: 2017-01-10
Author: mainakjas@gmail.com
File Name: examples/plot_ransac.py
Class Name:
Method Name:
Project Name: robertmartin8/PyPortfolioOpt
Commit Name: 1d07a55ab2ddd028ac0e607db496f74bb875ed65
Time: 2020-03-18
Author: martin.robertandrew@gmail.com
File Name: pypfopt/risk_models.py
Class Name:
Method Name: correlation_plot