0817e41d3d104da9a8e4ffb84d12fd72e5687434,spectral/graphics/spypylab.py,,plot,#Any#Any#,1268
Before Change
else:
xvals = None
if len(s) == 1:
if not xvals:
xvals = list(range(len(data)))
p = plt.plot(xvals, data)
elif len(s) == 2:
if not xvals:
xvals = list(range(s[1]))
p = plt.plot(xvals, data[0, :])
plt.hold(1)
for i in range(1, s[0]):
p = plt.plot(xvals, data[i, :])
spectral._xyplot = p
plt.grid(1)
if source is not None and hasattr(source, "bands"):
if source.bands.band_quantity is not None:
After Change
if data.ndim == 1:
data = data[np.newaxis, :]
data = data.reshape(-1, data.shape[-1])
if source is not None and hasattr(source, "metadata") and \
"bbl" in source.metadata:
// Do not plot bad bands
data = np.array(data)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 8
Instances Project Name: spectralpython/spectral
Commit Name: 0817e41d3d104da9a8e4ffb84d12fd72e5687434
Time: 2017-03-26
Author: thomas.boggs@gmail.com
File Name: spectral/graphics/spypylab.py
Class Name:
Method Name: plot
Project Name: scikit-learn-contrib/DESlib
Commit Name: ea25f7ad99ec6c6a4dc0b9eba04c09c1421ef007
Time: 2018-03-26
Author: rafaelmenelau@gmail.com
File Name: deslib/des/knora_e.py
Class Name: KNORAE
Method Name: select
Project Name: scikit-learn-contrib/DESlib
Commit Name: cd1a5446ce793d09f28d021c466a279301eb51f0
Time: 2018-04-01
Author: rafaelmenelau@gmail.com
File Name: deslib/des/meta_des.py
Class Name: METADES
Method Name: select