b90dba34cfa927062ec032d8d178bfa8a85eae5d,pandastable/stats.py,StatsViewer,plotRegression,#StatsViewer#Any#Any#Any#Any#Any#,206
Before Change
cmap = plt.cm.get_cmap(kwds["colormap"])
ax.scatter(x, y, alpha=0.6, color=cmap(.2), label="fitted data",
marker=marker,s=s)
ax.scatter(xout, yout, alpha=0.3, color="gray", label="out of sample",
marker=marker,s=s)
ax.set_xlabel(indvar)
ax.set_ylabel(depvar)
x1 = X1[indvar]
After Change
vals = np.linspace(r.min(), r.max(), 100)
from patsy import dmatrices
y1,X1 = dmatrices(self.formula, data=out, return_type="dataframe")
print(X1)
//X1 = sm.add_constant(out)
//X1 = X1.sort(depvar)
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 2
Instances
Project Name: dmnfarrell/pandastable
Commit Name: b90dba34cfa927062ec032d8d178bfa8a85eae5d
Time: 2015-09-02
Author: farrell.damien@gmail.com
File Name: pandastable/stats.py
Class Name: StatsViewer
Method Name: plotRegression
Project Name: biotite-dev/biotite
Commit Name: 495ec225e30ce898ad5801748346a65aabe4eb83
Time: 2018-07-09
Author: patrick.kunzm@gmail.com
File Name: doc/examples/scripts/structure/ramachandran.py
Class Name:
Method Name:
Project Name: matplotlib/matplotlib
Commit Name: 701e17116ad8d4902258da6fd58e5c2d93b695b0
Time: 2019-03-03
Author: carstenschelp@mp.nl
File Name: examples/statistics/confidence_ellipse.py
Class Name:
Method Name:
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 153f6e0ff5729fc22b68d5f6e0fd05edf96d8c2c
Time: 2019-11-17
Author: g.lemaitre58@gmail.com
File Name: examples/datasets/plot_make_imbalance.py
Class Name:
Method Name: