def test(self):
CTGF = TimeSeries(self.CTGF)
smad7 = TimeSeries(self.smad7)
CTGF.interpolate(inplace=True)
smad7.interpolate(inplace=True)
CTGF.norm(inplace=True)
smad7.norm(inplace=True)
dtw = DTW(CTGF, smad7)
fig = dtw.cost_plot()
fig = dtw.plot()
plt.show()
self.assertTrue(isinstance(fig, Figure))
def test2(self):
dir = r'/home/b3053674/Documents/Microarray/GSS2265/python'
tsg1 = TimeSeriesGroup(self.data.iloc[:10])
tsg1 = tsg1.norm()
tsg1.interpolate('linear', 30)
ts_l = tsg1.to_ts()
ts = ts_l[0]
ts2 = ts_l[2]
fname_plot = os.path.join(dir, 'CTGFVsCTGF.png')
fname_map = os.path.join(dir, 'CTGFVsCTGFMap.png')
fname_normed_plot = os.path.join(dir, 'CTGFVsCTGFnormed.png')
fname_normed_map = os.path.join(dir, 'CTGFVsCTGFnormedMap.png')
fname_normed_interp_plot = os.path.join(dir, 'CTGFVsCTGFnormedInterp.png')
fname_normed_interp_map = os.path.join(dir, 'CTGFVsCTGFnormedInterpMap.png')
d = DTW(ts, ts2)
fig = d.plot()
fig.savefig(fname_normed_interp_plot, dpi=300, bbox_inches='tight')
fig2 = d.cost_plot()
fig2.savefig(fname_normed_interp_map, dpi=300, bbox_inches='tight')
def test_distance_cost_plot(self):
dtw = DTW(self.xts, self.yts)
fig = dtw.cost_plot()
from matplotlib.figure import Figure
self.assertTrue(isinstance(fig, Figure))