8000 Re-implement df._set_column based on new strcture by densmirn · Pull Request #850 · IntelPython/sdc · GitHub
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Re-implement df._set_column based on new strcture #850

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May 22, 2020
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Re-implement df._set_column based on new strcture #850

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8 changes: 6 additions & 2 deletions sdc/datatypes/hpat_pandas_dataframe_functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2620,9 +2620,11 @@ def df_add_column_codelines(self, key):

results = []
for i, col in enumerate(self.columns):
col_loc = self.column_loc[col]
type_id, col_id = col_loc.type_id, col_loc.col_id
res_data = f'res_data_{i}'
func_lines += [
f' data_{i} = self._data[{i}]',
f' data_{i} = self._data[{type_id}][{col_id}]',
f' {res_data} = pandas.Series(data_{i}, index=res_index, name="{col}")',
]
results.append((col, res_data))
Expand All @@ -2648,7 +2650,9 @@ def df_replace_column_codelines(self, key):
if literal_key == col:
func_lines += [f' data_{i} = value']
else:
func_lines += [f' data_{i} = self._data[{i}]']
col_loc = self.column_loc[col]
type_id, col_id = col_loc.type_id, col_loc.col_id
func_lines += [f' data_{i} = self._data[{type_id}][{col_id}]']

res_data = f'res_data_{i}'
func_lines += [
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12 changes: 6 additions & 6 deletions sdc/tests/test_dataframe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -638,21 +638,21 @@ def test_impl(df, key, value):
msg = 'Could not set item for DataFrame with empty columns'
self.assertIn(msg, str(raises.exception))

@dfRefactoringNotImplemented
@dfRefactoringNotImplemented # required re-implementing DataFrame unboxing
def test_df_add_column(self):
all_data = [{'A': [0, 1, 2], 'C': [0., np.nan, np.inf]}, {}]
key, value = 'B', np.array([1., -1., 0.])

self._test_df_set_column(all_data, key, value)

@dfRefactoringNotImplemented
@dfRefactoringNotImplemented # required re-implementing DataFrame unboxing
def test_df_add_column_str(self):
all_data = [{'A': [0, 1, 2], 'C': [0., np.nan, np.inf]}, {}]
key, value = 'B', pd.Series(test_global_input_data_unicode_kind4)

self._test_df_set_column(all_data, key, value)

@dfRefactoringNotImplemented
@dfRefactoringNotImplemented # required re-implementing DataFrame unboxing
def test_df_add_column_exception_invalid_length(self):
df = pd.DataFrame({'A': [0, 1, 2], 'C': [3., 4., 5.]})
key, value = 'B', np.array([1., np.nan, -1., 0.])
Expand All @@ -661,21 +661,21 @@ def test_df_add_column_exception_invalid_length(self):
df = pd.DataFrame({'A': []})
self._test_df_set_column_exception_empty_columns(df, key, value)

@dfRefactoringNotImplemented
@dfRefactoringNotImplemented # required re-implementing DataFrame unboxing
def test_df_replace_column(self):
all_data = [{'A': [0, 1, 2], 'C': [0., np.nan, np.inf]}]
key, value = 'A', np.array([1., -1., 0.])

self._test_df_set_column(all_data, key, value)

@dfRefactoringNotImplemented
@dfRefactoringNotImplemented # required re-implementing DataFrame unboxing
def test_df_replace_column_str(self):
all_data = [{'A': [0, 1, 2], 'C': [0., np.nan, np.inf]}]
key, value = 'A', pd.Series(test_global_input_data_unicode_kind4)

self._test_df_set_column(all_data, key, value)

@dfRefactoringNotImplemented
@dfRefactoringNotImplemented # required re-implementing DataFrame unboxing
def test_df_replace_column_exception_invalid_length(self):
df = pd.DataFrame({'A': [0, 1, 2], 'C': [3., 4., 5.]})
key, value = 'A', np.array([1., np.nan, -1., 0.])
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