8000 Series.add / Series.lt with fill_value by 1e-to · Pull Request #655 · IntelPython/sdc · GitHub
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Series.add / Series.lt with fill_value #655

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merged 22 commits into from
Apr 23, 2020
Merged

Series.add / Series.lt with fill_value #655

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d331183
Series.add / Series.lt with fill_value
Feb 28, 2020
eb4a728
Merge branch 'master' of https://github.com/IntelPython/sdc into oper…
Feb 28, 2020
722e966
del useless
Feb 28, 2020
52560c1
Add oprimization for fill_value=None
Mar 2, 2020
8839fc1
Merge branch 'master' of https://github.com/IntelPython/sdc into oper…
Mar 2, 2020
475cb58
pep
Mar 2, 2020
b483957
test and impl fix
Mar 13, 2020
1684822
non index impl fix
Mar 13, 2020
b2ec0a6
update script
Mar 17, 2020
c0ca1ad
fix
Mar 17, 2020
af3bbdd
Merge branch 'master' of https://github.com/IntelPython/sdc into oper…
Mar 17, 2020
92d0692
fix operators
Mar 20, 2020
15e2806
add doc
Mar 20, 2020
fc0510b
div fix
Mar 20, 2020
90e5647
Merge branch 'master' into oper_ser
1e-to Mar 20, 2020
ef8fe79
doc fix
Mar 21, 2020
c48f2e3
fix algo for scalars
Mar 21, 2020
70a5484
small fixes
Apr 14, 2020
bf87286
Merge branch 'master' into oper_ser
1e-to Apr 14, 2020
8f76b36
del prange
Apr 14, 2020
e09a6fc
Fix script
Apr 20, 2020
542a59c
fix vars
Apr 20, 2020
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pep
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elena.totmenina committed Mar 2, 2020
commit 475cb58a0ce79d5b5e1da7e7269b7a517c0f044d
12 changes: 6 additions & 6 deletions sdc/datatypes/hpat_pandas_series_functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2562,7 +2562,7 @@ def _series_add_scalar_impl(self, other, level=None, fill_value=None, axis=0):
fill_value = numpy.nan
if not fill_value_is_none == True: # noqa
fill_value_is_nan = numpy.isnan(fill_value)
if not (fill_value_is_nan or fill_value_is_none == True):
if not (fill_value_is_nan or fill_value_is_none == True): # noqa
numpy_like.fillna(self._data, inplace=True, value=fill_value)

if self_is_series == True: # noqa
Expand All @@ -2585,7 +2585,7 @@ def _series_add_none_indexes_impl(self, other, level=None, fill_value=None, axis
fill_value = numpy.nan
if not fill_value_is_none == True: # noqa
fill_value_is_nan = numpy.isnan(fill_value)
if not (fill_value_is_nan or fill_value_is_none == True):
if not (fill_value_is_nan or fill_value_is_none == True): # noqa
numpy_like.fillna(self._data, inplace=True, value=fill_value)
numpy_like.fillna(other._data, inplace=True, value=fill_value)

Expand Down Expand Up @@ -2627,7 +2627,7 @@ def _series_add_common_impl(self, other, level=None, fill_value=None, axis=0):
fill_value = numpy.nan
if not fill_value_is_none == True: # noqa
fill_value_is_nan = numpy.isnan(fill_value)
if not (fill_value_is_nan or fill_value_is_none == True):
if not (fill_value_is_nan or fill_value_is_none == True): # noqa
numpy_like.fillna(self._data, inplace=True, value=fill_value)
numpy_like.fillna(other._data, inplace=True, value=fill_value)
# check if indexes are equal and series don't have to be aligned
Expand Down Expand Up @@ -4167,7 +4167,7 @@ def _series_lt_scalar_impl(self, other, level=None, fill_value=None, axis=0):
fill_value = numpy.nan
if not fill_value_is_none == True: # noqa
fill_value_is_nan = numpy.isnan(fill_value)
if not (fill_value_is_nan or fill_value_is_none == True):
if not (fill_value_is_nan or fill_value_is_none == True): # noqa
numpy_like.fillna(self._data, inplace=True, value=fill_value)
if self_is_series == True: # noqa
return pandas.Series(self._data < other, index=self._index, name=self._name)
Expand All @@ -4186,7 +4186,7 @@ def _series_lt_none_indexes_impl(self, other, level=None, fill_value=None, axis=
fill_value = numpy.nan
if not fill_value_is_none == True: # noqa
fill_value_is_nan = numpy.isnan(fill_value)
if not (fill_value_is_nan or fill_value_is_none == True):
if not (fill_value_is_nan or fill_value_is_none == True): # noqa
numpy_like.fillna(self._data, inplace=True, value=fill_value)
numpy_like.fillna(other._data, inplace=True, value=fill_value)
left_size, right_size = len(self._data), len(other._data)
Expand All @@ -4210,7 +4210,7 @@ def _series_lt_common_impl(self, other, level=None, fill_value=None, axis=0):
fill_value = numpy.nan
if not fill_value_is_none == True: # noqa
fill_value_is_nan = numpy.isnan(fill_value)
if not (fill_value_is_nan or fill_value_is_none == True):
if not (fill_value_is_nan or fill_value_is_none == True): # noqa
numpy_like.fillna(self._data, inplace=True, value=fill_value)
numpy_like.fillna(other._data, inplace=True, value=fill_value)
left_index, right_index = self.index, other.index
Expand Down
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