def test_agg_raise(self):
df = daily_timeseries()
from matplotlib import pyplot as plt
_, ax = plt.subplots(1, 1)
plot_aggregated_ts(df, ax=ax, value='X', agg='year')
plt.close('all')
def test_agg_week_hours(self):
dummy = dummy_ct1()
df = read_ct1(dummy, as_df=True)
from matplotlib import pyplot as plt
_, ax = plt.subplots(1, 1)
plot_aggregated_ts(df, ax=ax, value='ITPRICE', agg='weekhour')
plt.close('all')
def test_agg_raise(self):
dummy = dummy_ct1()
df = read_ct1(dummy, as_df=True)
from matplotlib import pyplot as plt
_, ax = plt.subplots(1, 1)
self.assertRaise(
lambda: plot_aggregated_ts(df, ax=ax, value='ITPRICE', agg='year_'
), ValueError)
plt.close('all')
