def test_reshape_monthly_multiannual():
ind = pd.DatetimeIndex(
pd.date_range(start='Jan-1990', end='Jan-2017', freq='m'))
a = pd.DataFrame(np.random.rand(324), index=ind)
b = reshape_timeseries(a, x='month', y='year', aggfunc='sum')
assert b.shape == (27, 12) # 27 years, 12 months
assert np.isclose(b.sum().sum(), a.sum())
def test_reshape_timeseries():
a = np.random.rand(8760)
b = reshape_timeseries(a, x='dayofyear', y='hour')
assert b.shape == (24,365)
assert np.isclose(b.sum().sum(), a.sum())
def test_reshape_multiannual_dataframe():
a = np.random.rand(8760*2)
a = pd.DataFrame(make_timeseries(a, year=2019, freq='h'))
b = reshape_timeseries(a, x='dayofyear', y='hour', aggfunc='sum')
assert b.shape == (24,365)
assert np.isclose(b.sum().sum(), a.sum())
def test_reshape_multiannual():
a = np.random.rand(8760 * 2)
a = make_timeseries(a, freq='h')
b = reshape_timeseries(a, x='dayofyear', y='hour', aggfunc='sum')
assert b.shape == (24, 365)
assert np.isclose(b.sum().sum(), a.sum())
