def test_valid(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
assert_almost_equal(sp_valid, sp.to_dense().valid())
self.assert_(sp_valid.index.equals(sp.to_dense().valid().index))
self.assertEquals(len(sp_valid.sp_values), 2)
def test_valid(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
assert_almost_equal(sp_valid, sp.to_dense().valid())
self.assert_(sp_valid.index.equals(sp.to_dense().valid().index))
self.assertEquals(len(sp_valid.sp_values), 2)
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
assert_almost_equal(sp_valid.values, sp.to_dense().valid().values)
self.assert_(sp_valid.index.equals(sp.to_dense().valid().index))
self.assertEquals(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assert_(not isinstance(result, SparseSeries))
tm.assert_series_equal(result, expected)
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
expected = sp.to_dense().valid()
expected = expected[expected != 0]
tm.assert_almost_equal(sp_valid.values, expected.values)
self.assertTrue(sp_valid.index.equals(expected.index))
self.assertEqual(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assertNotIsInstance(result, SparseSeries)
tm.assert_series_equal(result, expected)
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
expected = sp.to_dense().valid()
expected = expected[expected != 0]
tm.assert_almost_equal(sp_valid.values, expected.values)
self.assertTrue(sp_valid.index.equals(expected.index))
self.assertEqual(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assertNotIsInstance(result, SparseSeries)
tm.assert_series_equal(result, expected)
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
expected = sp.to_dense().valid()
expected = expected[expected != 0]
exp_arr = pd.SparseArray(expected.values, fill_value=0, kind='block')
tm.assert_sp_array_equal(sp_valid.values, exp_arr)
self.assert_index_equal(sp_valid.index, expected.index)
self.assertEqual(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assertNotIsInstance(result, SparseSeries)
tm.assert_series_equal(result, expected)
def test_dropna(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
expected = sp.to_dense().valid()
expected = expected[expected != 0]
exp_arr = pd.SparseArray(expected.values, fill_value=0, kind='block')
tm.assert_sp_array_equal(sp_valid.values, exp_arr)
self.assert_index_equal(sp_valid.index, expected.index)
self.assertEqual(len(sp_valid.sp_values), 2)
result = self.bseries.dropna()
expected = self.bseries.to_dense().dropna()
self.assertNotIsInstance(result, SparseSeries)
tm.assert_series_equal(result, expected)
