def test_resample_upsampling(self):
times = pd.date_range('2000-01-01', freq='1D', periods=5)
array = DataArray(np.arange(5), [('time', times)])
expected_time = pd.date_range('2000-01-01', freq='12H', periods=9)
expected = array.reindex(time=expected_time)
for how in ['mean', 'median', 'sum', 'first', 'last', np.mean]:
actual = array.resample('12H', 'time', how=how)
self.assertDataArrayIdentical(expected, actual)
def test_reindex_method(self):
x = DataArray([10, 20], dims='y')
y = [-0.5, 0.5, 1.5]
actual = x.reindex(y=y, method='backfill')
expected = DataArray([10, 20, np.nan], coords=[('y', y)])
self.assertDataArrayIdentical(expected, actual)
alt = Dataset({'y': y})
actual = x.reindex_like(alt, method='backfill')
self.assertDatasetIdentical(expected, actual)
def test_reindex(self):
foo = self.dv
bar = self.dv[:2, :2]
self.assertDataArrayIdentical(foo.reindex_like(bar), bar)
expected = foo.copy()
expected[:] = np.nan
expected[:2, :2] = bar
self.assertDataArrayIdentical(bar.reindex_like(foo), expected)
# regression test for #279
expected = DataArray(np.random.randn(5), dims=["time"])
time2 = DataArray(np.arange(5), dims="time2")
actual = expected.reindex(time=time2)
self.assertDataArrayIdentical(actual, expected)
def test_reindex(self):
foo = self.dv
bar = self.dv[:2, :2]
self.assertDataArrayIdentical(foo.reindex_like(bar), bar)
expected = foo.copy()
expected[:] = np.nan
expected[:2, :2] = bar
self.assertDataArrayIdentical(bar.reindex_like(foo), expected)
# regression test for #279
expected = DataArray(np.random.randn(5), dims=["time"])
time2 = DataArray(np.arange(5), dims="time2")
actual = expected.reindex(time=time2)
self.assertDataArrayIdentical(actual, expected)
