Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

TST: resolve issues with test_constructor_dtype_datetime64 #24868

Merged
merged 10 commits into from
Mar 13, 2019
Merged

TST: resolve issues with test_constructor_dtype_datetime64 #24868

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
10 commits
Select commit Hold shift + click to select a range
4376036
np bug no more
simonjayhawkins Jan 21, 2019
5418c75
add np.nan case
simonjayhawkins Jan 21, 2019
b31f171
update test_astype_generic_timestamp_no_frequency
simonjayhawkins Jan 21, 2019
eda7576
Merge remote-tracking branch 'upstream/master' into series-np-bug
simonjayhawkins Mar 12, 2019
57962f7
troubleshoot - results of ci no longer available
simonjayhawkins Mar 12, 2019
89e8758
astype('int') fails on windows
simonjayhawkins Mar 12, 2019
75db09b
Merge remote-tracking branch 'upstream/master' into series-np-bug
simonjayhawkins Mar 13, 2019
968f048
add astype exception message checks
simonjayhawkins Mar 13, 2019
6425dcd
fix msg in test_astype_to_incorrect_datetimelike
simonjayhawkins Mar 13, 2019
13e364b
Merge remote-tracking branch 'upstream/master' into series-np-bug
simonjayhawkins Mar 13, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 6 additions & 2 deletions pandas/tests/frame/test_dtypes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -808,11 +808,15 @@ def test_astype_to_incorrect_datetimelike(self, unit):
other = "m8[{}]".format(unit)

df = DataFrame(np.array([[1, 2, 3]], dtype=dtype))
with pytest.raises(TypeError):
msg = (r"cannot astype a datetimelike from \[datetime64\[ns\]\] to"
r" \[timedelta64\[{}\]\]").format(unit)
with pytest.raises(TypeError, match=msg):
df.astype(other)

msg = (r"cannot astype a timedelta from \[timedelta64\[ns\]\] to"
r" \[datetime64\[{}\]\]").format(unit)
df = DataFrame(np.array([[1, 2, 3]], dtype=other))
with pytest.raises(TypeError):
with pytest.raises(TypeError, match=msg):
df.astype(dtype)

def test_timedeltas(self):
Expand Down
49 changes: 38 additions & 11 deletions pandas/tests/series/test_constructors.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -683,17 +683,44 @@ def test_constructor_dtype_datetime64(self):
assert s.dtype == 'M8[ns]'

# GH3414 related
# msg = (r"cannot astype a datetimelike from \[datetime64\[ns\]\] to"
# r" \[int32\]")
# with pytest.raises(TypeError, match=msg):
# Series(Series(dates).astype('int') / 1000000, dtype='M8[ms]')
pytest.raises(TypeError, lambda x: Series(
Series(dates).astype('int') / 1000000, dtype='M8[ms]'))

msg = (r"The 'datetime64' dtype has no unit\. Please pass in"
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Hmm is this not intentional to have around still?

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

this is explicitly tested by test_astype_generic_timestamp_no_frequency. however i've now updated this test so that the error message check is more explicit.

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@WillAyd

i'm guessing that the intended error message for this test would have been originally that raised by

pandas/pandas/core/dtypes/cast.py

Lines 644 to 646 in af82b2a

raise TypeError("cannot astype a datetimelike from [{from_dtype}] "
"to [{to_dtype}]".format(from_dtype=arr.dtype,
to_dtype=dtype))

and before the conversion to pytest.raises context manager the test was

pandas/pandas/tests/series/test_constructors.py

Lines 680 to 681 in 17a6bc5

pytest.raises(TypeError,
lambda x: Series(dates, dtype='datetime64'))

which would have been raising TypeError: missing 1 required positional argument: 'x'

since there was no message check the tested function raising TypeError would have incorrectly been considered a test pass

so this test was never intended to test for The 'datetime64' dtype has no unit message.

hope that makes it clear!

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

so I DO want this test to remain, can you simply change it so it is testing with dtype='datetime64', IOW it raises.

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This might actually be a duplicate test (if so, then can remove)

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

so I DO want this test to remain, can you simply change it so it is testing with dtype='datetime64', IOW it raises.

This might actually be a duplicate test (if so, then can remove)

testing with dtype='datetime64' is explicitly tested by another test: test_astype_generic_timestamp_no_frequency.

however within this PR i've also changed test_astype_generic_timestamp_no_frequency so that the error message check is more explicit so that it could be removed here.

Copy link
Contributor

@jreback jreback Jan 26, 2019 •
edited
Loading

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

ok, you are going to remove this test? rather, this case?

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

not removing... since it now passes, additionally constructed the expected result and compared.

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

ok, you are going to remove this test? rather, this case?

so have now added some cases to test_constructor_dtype_datetime64 similar to those in test_constructor_dtype_timedelta64 and also added the exception message check to tests/frame/test_dtypes.py

so could probably remove some of the # GH3414 related stuff

r" 'datetime64\[ns\]' instead\.")
with pytest.raises(ValueError, match=msg):
Series(dates, dtype='datetime64')
expected = Series([
datetime(2013, 1, 1),
datetime(2013, 1, 2),
datetime(2013, 1, 3),
], dtype='datetime64[ns]')

result = Series(
Series(dates).astype(np.int64) / 1000000, dtype='M8[ms]')
tm.assert_series_equal(result, expected)

result = Series(dates, dtype='datetime64[ns]')
tm.assert_series_equal(result, expected)

expected = Series([
pd.NaT,
datetime(2013, 1, 2),
datetime(2013, 1, 3),
], dtype='datetime64[ns]')
result = Series([np.nan] + dates[1:], dtype='datetime64[ns]')
tm.assert_series_equal(result, expected)

dts = Series(dates, dtype='datetime64[ns]')

# valid astype
dts.astype('int64')

# invalid casting
msg = (r"cannot astype a datetimelike from \[datetime64\[ns\]\] to"
r" \[int32\]")
with pytest.raises(TypeError, match=msg):
dts.astype('int32')

# ints are ok
# we test with np.int64 to get similar results on
# windows / 32-bit platforms
result = Series(dts, dtype=np.int64)
expected = Series(dts.astype(np.int64))
tm.assert_series_equal(result, expected)

# invalid dates can be help as object
result = Series([datetime(2, 1, 1)])
Expand Down
4 changes: 3 additions & 1 deletion pandas/tests/series/test_dtypes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -415,7 +415,9 @@ def test_astype_generic_timestamp_no_frequency(self, dtype):
data = [1]
s = Series(data)

msg = "dtype has no unit. Please pass in"
msg = ((r"The '{dtype}' dtype has no unit\. "
r"Please pass in '{dtype}\[ns\]' instead.")
.format(dtype=dtype.__name__))
with pytest.raises(ValueError, match=msg):
s.astype(dtype)

Expand Down