def test_dict_complex(self): x = {'foo': 1.0 + 1.0j, 'bar': 2.0 + 2.0j} x_rec = self.encode_decode(x) tm.assert_dict_equal(x, x_rec) for key in x: tm.assert_class_equal(x[key], x_rec[key], obj="complex value")
def test_dict_numpy_complex(self): x = {"foo": np.complex128(1.0 + 1.0j), "bar": np.complex128(2.0 + 2.0j)} x_rec = self.encode_decode(x) tm.assert_dict_equal(x, x_rec) for key in x: tm.assert_class_equal(x[key], x_rec[key], obj="numpy complex128")
def test_dict_numpy_complex(self): x = {'foo': np.complex128(1.0 + 1.0j), 'bar': np.complex128(2.0 + 2.0j)} x_rec = self.encode_decode(x) tm.assert_dict_equal(x, x_rec) for key in x: tm.assert_class_equal(x[key], x_rec[key], obj="numpy complex128")
def test_series_indexing_single(self): for i, idx in enumerate(self.cols): assert self.ss.iloc[i] == self.ss[idx] tm.assert_class_equal(self.ss.iloc[i], self.ss[idx], obj="series index") assert self.ss["string"] == "a" assert self.ss["int"] == 1 assert self.ss["float"] == 1.1 assert self.ss["object"] == []
def test_series_indexing_single(self): for i, idx in enumerate(self.cols): assert self.ss.iloc[i] == self.ss[idx] tm.assert_class_equal(self.ss.iloc[i], self.ss[idx], obj="series index") assert self.ss['string'] == 'a' assert self.ss['int'] == 1 assert self.ss['float'] == 1.1 assert self.ss['object'] == []
def test_series_indexing_single(self): for i, idx in enumerate(self.cols): assert self.ss.iloc[i] == self.ss[idx] tm.assert_class_equal(self.ss.iloc[i], self.ss[idx], obj="series index") assert self.ss['string'] == 'a' assert self.ss['int'] == 1 assert self.ss['float'] == 1.1 assert self.ss['object'] == []
def test_iloc(self): # 2227 result = self.frame.iloc[:, 0] assert isinstance(result, SparseSeries) tm.assert_sp_series_equal(result, self.frame['A']) # preserve sparse index type. #2251 data = {'A': [0, 1]} iframe = SparseDataFrame(data, default_kind='integer') tm.assert_class_equal(iframe['A'].sp_index, iframe.iloc[:, 0].sp_index)
def test_iloc(self): # 2227 result = self.frame.iloc[:, 0] assert isinstance(result, SparseSeries) tm.assert_sp_series_equal(result, self.frame['A']) # preserve sparse index type. #2251 data = {'A': [0, 1]} iframe = SparseDataFrame(data, default_kind='integer') tm.assert_class_equal(iframe['A'].sp_index, iframe.iloc[:, 0].sp_index)