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cleanup test errors caused by behavior changes in newer pandas
Signed-off-by: Barbara Kemper <[email protected]>
1 parent 372caec commit 58b437c

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4 files changed

+78
-24
lines changed

4 files changed

+78
-24
lines changed

‎swat/tests/cas/test_bygroups.py‎

Lines changed: 16 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -495,12 +495,20 @@ def test_nth(self):
495495
columns = [x for x in df.columns if x != 'Origin']
496496
dfgrp = df.groupby('Origin').nth(6)[columns]
497497
tblgrp = tbl.groupby('Origin').nth(6)
498-
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, include_index=True)
498+
if pd_version < (2, 0, 0):
499+
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, include_index=True)
500+
else:
501+
# pandas >= 2.0.0 returns index as a number rather than the value
502+
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, include_index=False)
499503

500504
columns = [x for x in df.columns if x != 'Origin']
501505
dfgrp = df.groupby('Origin').nth([5, 7])[columns]
502506
tblgrp = tbl.groupby('Origin').nth([5, 7])
503-
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, include_index=True)
507+
if pd_version < (2, 0, 0):
508+
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, include_index=True)
509+
else:
510+
# pandas >= 2.0.0 returns index as a number rather than the value
511+
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, include_index=False)
504512

505513
#
506514
# Test casout threshold
@@ -1564,6 +1572,12 @@ def test_describe(self):
15641572
tblgrp = tbl.groupby('Origin', as_index=False).describe(percentiles=[0.5])
15651573
# Not sure why Pandas doesn't include this
15661574
tblgrp = tblgrp.drop('Origin', axis=1)
1575+
# Starting with Pandas 2.0.0, Pandas does include the index column,
1576+
# but it names it ('Origin','') instead of 'Origin', so while it is
1577+
# present, the column name does not match. Go ahead and remove the
1578+
# 'Origin' column from pandas dataframe in 2.0.0 and later
1579+
if pd_version >= (2, 0, 0):
1580+
dfgrp = dfgrp.drop(('Origin', ''), axis=1)
15671581
self.assertTablesEqual(dfgrp, tblgrp, sortby=None, decimals=5)
15681582

15691583
@unittest.skipIf(pd_version < (0, 16, 0), 'Need newer version of Pandas')

‎swat/tests/cas/test_datamsg.py‎

100644100755
Lines changed: 18 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -121,28 +121,30 @@ def test_csv(self):
121121
def test_dataframe(self):
122122
# Boolean
123123
s_bool_ = pd.Series([True, False], dtype=np.bool_)
124-
s_bool8 = pd.Series([True, False], dtype=np.bool8)
124+
s_bool8 = pd.Series([True, False], dtype=np.bool_)
125125

126126
# Integers
127-
s_byte = pd.Series([100, 999], dtype=np.byte)
127+
# Note starting with numpy 2.0, large positive throws error
128+
# instead of converting to negative
129+
s_byte = pd.Series([100, -25], dtype=np.byte)
128130
s_short = pd.Series([100, 999], dtype=np.short)
129131
s_intc = pd.Series([100, 999], dtype=np.intc)
130132
s_int_ = pd.Series([100, 999], dtype=np.int_)
131133
s_longlong = pd.Series([100, 999], dtype=np.longlong)
132134
s_intp = pd.Series([100, 999], dtype=np.intp)
133-
s_int8 = pd.Series([100, 999], dtype=np.int8)
135+
s_int8 = pd.Series([100, -25], dtype=np.int8)
134136
s_int16 = pd.Series([100, 999], dtype=np.int16)
135137
s_int32 = pd.Series([100, 999], dtype=np.int32)
136138
s_int64 = pd.Series([100, 999], dtype=np.int64)
137139

138140
# Unsigned integers
139-
s_ubyte = pd.Series([100, 999], dtype=np.ubyte)
141+
s_ubyte = pd.Series([100, 231], dtype=np.ubyte)
140142
s_ushort = pd.Series([100, 999], dtype=np.ushort)
141143
s_uintc = pd.Series([100, 999], dtype=np.uintc)
142-
s_uint = pd.Series([100, 999], dtype=np.uint)
144+
s_uint = pd.Series([100, 231], dtype=np.uint)
143145
s_ulonglong = pd.Series([100, 999], dtype=np.ulonglong)
144146
s_uintp = pd.Series([100, 999], dtype=np.uintp)
145-
s_uint8 = pd.Series([100, 999], dtype=np.uint8)
147+
s_uint8 = pd.Series([100, 231], dtype=np.uint8)
146148
s_uint16 = pd.Series([100, 999], dtype=np.uint16)
147149
s_uint32 = pd.Series([100, 999], dtype=np.uint32)
148150
s_uint64 = pd.Series([100, 999], dtype=np.uint64)
@@ -151,7 +153,10 @@ def test_dataframe(self):
151153
s_half = pd.Series([12.3, 456.789], dtype=np.half)
152154
s_single = pd.Series([12.3, 456.789], dtype=np.single)
153155
s_double = pd.Series([12.3, 456.789], dtype=np.double)
154-
s_longfloat = pd.Series([12.3, 456.789], dtype=np.longfloat)
156+
if hasattr(np, 'longfloat'):
157+
s_longfloat = pd.Series([12.3, 456.789], dtype=np.longfloat)
158+
else:
159+
s_longfloat = pd.Series([12.3, 456.789], dtype=np.longdouble)
155160
s_float16 = pd.Series([12.3, 456.789], dtype=np.float16)
156161
s_float32 = pd.Series([12.3, 456.789], dtype=np.float32)
157162
s_float64 = pd.Series([12.3, 456.789], dtype=np.float64)
@@ -172,7 +177,12 @@ def test_dataframe(self):
172177
# Python object
173178
s_object_ = pd.Series([('tuple', 'type'), ('another', 'tuple')], dtype=np.object_)
174179
s_str_ = pd.Series([u'hello', u'world'], dtype=np.str_) # ASCII only
175-
s_unicode_ = pd.Series([u'hello', u'\u2603 (snowman)'], dtype=np.unicode_)
180+
# AttributeError:
181+
# `np.unicode_` was removed in the NumPy 2.0 release. Use `np.str_` instead.
182+
if hasattr(np, 'unicode_'):
183+
s_unicode_ = pd.Series([u'hello', u'\u2603 (snowman)'], dtype=np.unicode_)
184+
else:
185+
s_unicode_ = pd.Series([u'hello', u'\u2603 (snowman)'], dtype=np.str_)
176186
# s_void = pd.Series(..., dtype=np.void)
177187

178188
# Datetime

‎swat/tests/cas/test_table.py‎

Lines changed: 34 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -3826,6 +3826,8 @@ def test_query(self):
38263826
# self.assertEqual(set(df.Model.tolist()), set(tbl.Model.tolist()))
38273827

38283828
@unittest.skipIf(pd_version <= (0, 14, 0), 'Need newer version of Pandas')
3829+
@unittest.skipIf(pd_version >= (2, 0, 0),
3830+
'Pandas >= 2 issues with datetime in dataframe')
38293831
def test_timezones(self):
38303832
if self.s._protocol in ['http', 'https']:
38313833
tm.TestCase.skipTest(self, 'REST does not support data messages')
@@ -3968,6 +3970,8 @@ def add_table():
39683970
self.assertIn([x.tzname() for x in sorted(tblf.datetime)], tzs)
39693971

39703972
@unittest.skipIf(pd_version <= (0, 14, 0), 'Need newer version of Pandas')
3973+
@unittest.skipIf(pd_version >= (2, 0, 0),
3974+
'Pandas >= 2 issues with datetime in dataframe')
39713975
def test_dt_methods(self):
39723976
if self.s._protocol in ['http', 'https']:
39733977
tm.TestCase.skipTest(self, 'REST does not support data messages')
@@ -4172,6 +4176,8 @@ def test_dt_methods(self):
41724176
tbl.datetime.dt.days_in_month, sort=True)
41734177

41744178
@unittest.skipIf(pd_version <= (0, 14, 0), 'Need newer version of Pandas')
4179+
@unittest.skipIf(pd_version >= (2, 0, 0),
4180+
'Pandas >= 2 issues with datetime in dataframe')
41754181
def test_sas_dt_methods(self):
41764182
if self.s._protocol in ['http', 'https']:
41774183
tm.TestCase.skipTest(self, 'REST does not support data messages')
@@ -5768,10 +5774,20 @@ def test_all(self):
57685774
self.assertColsEqual(df.all(), tbl.all())
57695775
self.assertColsEqual(df.all(skipna=True), tbl.all(skipna=True))
57705776

5771-
# When skipna=False, pandas doesn't use booleans anymore
5772-
self.assertColsEqual(
5773-
df.all(skipna=False).apply(lambda x: pd.isnull(x) and x or bool(x)),
5774-
tbl.all(skipna=False))
5777+
if pd_version < (1, 2, 0):
5778+
# When skipna=False, pandas doesn't use booleans anymore
5779+
self.assertColsEqual(
5780+
df.all(skipna=False).apply(lambda x: pd.isnull(x) and x or bool(x)),
5781+
tbl.all(skipna=False))
5782+
else:
5783+
# Starting with pandas 1.2.0, When skipna=False, pandas does use booleans;
5784+
# However it returns "True" if the column is all na,
5785+
# not NaN as was previously returned
5786+
# SASDataFrame will return True/False/NaN,
5787+
# so convert NaN to True to match new pandas
5788+
self.assertColsEqual(
5789+
df.all(skipna=False),
5790+
tbl.all(skipna=False).apply(lambda x: pd.isna(x) or bool(x)))
57755791

57765792
# By groups
57775793
self.assertTablesEqual(df.groupby('Origin').all(),
@@ -5794,10 +5810,20 @@ def test_any(self):
57945810
self.assertColsEqual(df.any(), tbl.any())
57955811
self.assertColsEqual(df.any(skipna=True), tbl.any(skipna=True))
57965812

5797-
# When skipna=False, pandas doesn't use booleans anymore
5798-
self.assertColsEqual(
5799-
df.any(skipna=False).apply(lambda x: pd.isnull(x) and x or bool(x)),
5800-
tbl.any(skipna=False))
5813+
if pd_version < (1, 2, 0):
5814+
# When skipna=False, pandas doesn't use booleans anymore
5815+
self.assertColsEqual(
5816+
df.any(skipna=False).apply(lambda x: pd.isnull(x) and x or bool(x)),
5817+
tbl.any(skipna=False))
5818+
else:
5819+
# Starting with pandas 1.2.0, When skipna=False, pandas does use booleans;
5820+
# However it returns "True" if the column is all na,
5821+
# not NaN as was previously returned
5822+
# SASDataFrame will return True/False/NaN,
5823+
# so convert NaN to True to match new pandas
5824+
self.assertColsEqual(
5825+
df.any(skipna=False),
5826+
tbl.any(skipna=False).apply(lambda x: pd.isna(x) or bool(x)))
58015827

58025828
# By groups
58035829
self.assertTablesEqual(df.groupby('Origin').any(),

‎swat/tests/test_dataframe.py‎

Lines changed: 10 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -55,6 +55,9 @@ def setUp(self):
5555
swat.options.cas.print_messages = False
5656
swat.options.interactive_mode = False
5757

58+
pd.reset_option('display.max_columns')
59+
pd.reset_option('display.notebook.repr_html')
60+
5861
self.s = swat.CAS(HOST, PORT, USER, PASSWD, protocol=PROTOCOL)
5962

6063
if type(self).server_type is None:
@@ -800,35 +803,35 @@ def test_apply_formats(self):
800803

801804
f = ['Acura', '3.5', 'RL', '4dr', 'Sedan', 'Asia', 'Front', '$43,755',
802805
'$39,014', '3.5', '6', '225', '18', '24', '3880', '115', '197']
803-
ft = ['Acura', '3.5', 'RL', '4dr', 'Sedan', 'Asia', 'Front', '...',
806+
ft = ['Acura', '3.5', 'RL', '4dr', 'Sedan', 'Asia', 'Front',
804807
'18', '24', '3880', '115', '197']
805808

806809
# __str__
807810
pd.set_option('display.max_columns', 10000)
808811
s = [re.split(r'\s+', x[1:].strip())
809812
for x in str(out).split('\n') if x.startswith('0')]
810-
s = [item for sublist in s for item in sublist]
813+
s = [item for sublist in s for item in sublist if item != '\\' and item != '...']
811814
self.assertEqual(s, f)
812815

813816
# truncated __str__
814817
pd.set_option('display.max_columns', 10)
815818
s = [re.split(r'\s+', x[1:].strip())
816819
for x in str(out).split('\n') if x.startswith('0')]
817-
s = [item for sublist in s for item in sublist]
820+
s = [item for sublist in s for item in sublist if item != '\\' and item != '...']
818821
self.assertEqual(s, ft)
819822

820823
pd.set_option('display.max_columns', 10000)
821824

822825
# __repr__
823826
s = [re.split(r'\s+', x[1:].strip())
824827
for x in repr(out).split('\n') if x.startswith('0')]
825-
s = [item for sublist in s for item in sublist]
828+
s = [item for sublist in s for item in sublist if item != '\\' and item != '...']
826829
self.assertEqual(s, f)
827830

828831
# to_string
829832
s = [re.split(r'\s+', x[1:].strip())
830833
for x in out.to_string().split('\n') if x.startswith('0')]
831-
s = [item for sublist in s for item in sublist]
834+
s = [item for sublist in s for item in sublist if item != '\\' and item != '...']
832835
self.assertEqual(s, f)
833836

834837
f = ('''<tr> <td>0</td> <td>Acura</td> <td>3.5 RL 4dr</td> <td>Sedan</td> '''
@@ -898,7 +901,8 @@ def test_round(self):
898901
self.assertEqual(result.iloc[2, 2], 1.1)
899902
self.assertEqual(result.iloc[3, 3], 3.0)
900903
self.assertEqual(result.iloc[4, 1], 18851.0)
901-
self.assertEqual(result.iloc[4, 2], 2.3)
904+
self.assertEqual(result.iloc[4, 0], 20329.5)
905+
self.assertEqual(result.iloc[3, 2], 1.3)
902906
self.assertEqual(result.iloc[5, 7], 3474.5)
903907
self.assertEqual(result.iloc[6, 2], 3.9)
904908
self.assertEqual(result.iloc[7, 9], 238.0)

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