def test_recent_compare(self):
df = pd.read_csv(self.filename)
ts = tslist(df)
ts.fill_missed_median()
timestamp = df['timestamp'].values
start = 24 * 3600 * 14 / ts.span
print start
pred = []
for i in range(start, len(timestamp)):
x_recent = ts.get_series(timestamp[i], w=30)
if recent_compare(x_recent) > 0:
pred.append(0)
else:
pred.append(1)
df = df[start:]
plot_ans(df, pred)
def test_absolute_periodicity_min(self):
df = pd.read_csv(self.filename)
ts = tslist(df)
ts.fill_missed_median()
timestamp = df['timestamp'].values
start = 24 * 3600 * 14 / ts.span
print start
pred = []
for i in range(start, len(timestamp)):
x_14 = []
for j in range(14):
x_14.append(ts.get_value(timestamp[i] - j * 24 * 3600))
x_14.reverse()
if absolute_periodicity_min(x_14) > 0:
pred.append(0)
else:
pred.append(1)
df = df[start:]
plot_ans(df, pred)