def test_constructor(self): with tm.assert_produces_warning(FutureWarning): lst1 = SparseList(self.na_data[:5]) with tm.assert_produces_warning(FutureWarning): exp = SparseList() exp.append(self.na_data[:5]) tm.assert_sp_list_equal(lst1, exp)
def test_copy(self): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): arr = self.na_data exp_sparr = SparseArray(arr) splist = SparseList() splist.append(arr[:5]) splist.append(arr[5]) cp = splist.copy() cp.append(arr[6:]) assert splist.nchunks == 2 tm.assert_sp_array_equal(cp.to_array(), exp_sparr)
def test_append_na(self): with tm.assert_produces_warning(FutureWarning): arr = self.na_data splist = SparseList() splist.append(arr[:5]) splist.append(arr[5]) splist.append(arr[6:]) sparr = splist.to_array() tm.assert_sp_array_equal(sparr, SparseArray(arr))
def test_len(self): with tm.assert_produces_warning(FutureWarning): arr = self.na_data splist = SparseList() splist.append(arr[:5]) assert len(splist) == 5 splist.append(arr[5]) assert len(splist) == 6 splist.append(arr[6:]) assert len(splist) == 10
def test_len(self): with tm.assert_produces_warning(FutureWarning): arr = self.na_data splist = SparseList() splist.append(arr[:5]) self.assertEqual(len(splist), 5) splist.append(arr[5]) self.assertEqual(len(splist), 6) splist.append(arr[6:]) self.assertEqual(len(splist), 10)
def test_getitem(self): with tm.assert_produces_warning(FutureWarning): arr = self.na_data splist = SparseList() splist.append(arr[:5]) splist.append(arr[5]) splist.append(arr[6:]) for i in range(len(arr)): tm.assert_almost_equal(splist[i], arr[i]) tm.assert_almost_equal(splist[-i], arr[-i])
def test_append_zero(self): with tm.assert_produces_warning(FutureWarning): arr = self.zero_data splist = SparseList(fill_value=0) splist.append(arr[:5]) splist.append(arr[5]) splist.append(arr[6:]) # list always produces int64, but SA constructor # is platform dtype aware sparr = splist.to_array() exp = SparseArray(arr, fill_value=0) tm.assert_sp_array_equal(sparr, exp, check_dtype=False)
def test_consolidate(self): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): arr = self.na_data exp_sparr = SparseArray(arr) splist = SparseList() splist.append(arr[:5]) splist.append(arr[5]) splist.append(arr[6:]) consol = splist.consolidate(inplace=False) assert consol.nchunks == 1 assert splist.nchunks == 3 tm.assert_sp_array_equal(consol.to_array(), exp_sparr) splist.consolidate() assert splist.nchunks == 1 tm.assert_sp_array_equal(splist.to_array(), exp_sparr)