def test_dropna(self):
x = np.random.randn(4, 4)
x[::2, 0] = np.nan
arr = DataArray(x, dims=['a', 'b'])
actual = arr.dropna('a')
expected = arr[1::2]
self.assertDataArrayIdentical(actual, expected)
actual = arr.dropna('b', how='all')
self.assertDataArrayIdentical(actual, arr)
actual = arr.dropna('a', thresh=1)
self.assertDataArrayIdentical(actual, arr)
actual = arr.dropna('b', thresh=3)
expected = arr[:, 1:]
self.assertDataArrayIdentical(actual, expected)
def test_dropna(self):
x = np.random.randn(4, 4)
x[::2, 0] = np.nan
arr = DataArray(x, dims=['a', 'b'])
actual = arr.dropna('a')
expected = arr[1::2]
self.assertDataArrayIdentical(actual, expected)
actual = arr.dropna('b', how='all')
self.assertDataArrayIdentical(actual, arr)
actual = arr.dropna('a', thresh=1)
self.assertDataArrayIdentical(actual, arr)
actual = arr.dropna('b', thresh=3)
expected = arr[:, 1:]
self.assertDataArrayIdentical(actual, expected)
