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https://api.github.com/repos/pandas-dev/pandas/issues/30814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30814/events | https://github.com/pandas-dev/pandas/pull/30814 | 546,922,378 | MDExOlB1bGxSZXF1ZXN0MzYwNTA1ODUz | 30,814 | BLD: More lightweight mypy pre-commit hook | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-01-08T15:10:33Z | 2020-01-15T09:49:50Z | 2020-01-15T09:49:50Z | CONTRIBUTOR | null | Fixes #30811
This now will only detect typing problems in the files you have edited. This may still lead to typing problems detected in CI but is hopefully a compromise between speed and early detection of issues before they hit public CI. One line changes in a single file still stay for me in the <1s mark.
cc @gf... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30815/events | https://github.com/pandas-dev/pandas/issues/30815 | 546,982,864 | MDU6SXNzdWU1NDY5ODI4NjQ= | 30,815 | like old issue #2936: df.apply(foo) will run twice at the first row | {
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- :meth:`DataFrame.apply` and :meth:`DataFrame.applymap` now evaluates first row/column only once (:issue:`31620`, :issue:`30815`, :issue:`33879`).
.. ipython:: python
df = pd.DataFrame({'a': [1, 2], 'b': [3, 6]})
def func(row):
print(row)
return row
*Previous behavior*:
..... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30816/events | https://github.com/pandas-dev/pandas/pull/30816 | 547,040,209 | MDExOlB1bGxSZXF1ZXN0MzYwNjAzMTg3 | 30,816 | replacing '.format' with f-strings in some test files | {
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- [ ] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
One format that I left untouched in `pandas/tests/util/test_assert_frame_equal.py`:
```
def test_frame_equal_unicode(df1, df2, msg, by_b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30818/events | https://github.com/pandas-dev/pandas/issues/30818 | 547,046,042 | MDU6SXNzdWU1NDcwNDYwNDI= | 30,818 | date_range calculates ranges off by one bin when passing period | {
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```python
import pandas as pd
start_t = pd.Timestamp('2008-11-24')
end_t = pd.Timestamp('2008-12-08')
print(end_t)
# 2008-12-08 00:00:00
diff = end_t-start_t
dates = pd.date_range(start_t, end_t, periods=bins, tz=None)
diff = dates[1] - dates[0]
print(... | {
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```python
In [2]: df = pd.DataFrame({"A": pd.array([1, 2, None])})
In [3]: df
Out[3]:
A
0 1
1 2
2 <NA>
In [4]: df.A
Out[4]:
0 1
1 2
2 <NA>
Name: A, dtype: Int64
In [5]: df.A.array
Out[5]:
<IntegerArray>
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### Motivation
I'm using pandas to interact with neuroscientific data—specifically, electrophysiology data. These data are sampled at very precise frequencies that cannot be expressed as an integer ... | {
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We should fix it, and indent the function properly: https://github.com/pandas-dev... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30833/events | https://github.com/pandas-dev/pandas/pull/30833 | 547,193,327 | MDExOlB1bGxSZXF1ZXN0MzYwNzI2MzI4 | 30,833 | DOC: Fix indentation in docstring example | {
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Often times when we deal with data we may want to compare two `Series` or `DataFrames`. In pandas/numpy standard and many other, if not all, programming standards, `NaN == NaN` yields ``False``.
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https://api.github.com/repos/pandas-dev/pandas/issues/30840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30840/events | https://github.com/pandas-dev/pandas/pull/30840 | 547,249,742 | MDExOlB1bGxSZXF1ZXN0MzYwNzcwNzk1 | 30,840 | CLN: remove _to_M8 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30841/events | https://github.com/pandas-dev/pandas/issues/30841 | 547,285,594 | MDU6SXNzdWU1NDcyODU1OTQ= | 30,841 | TestBaseCasting.test_to_numpy fails for ExtensionArrays that yield nested numpy arrays | {
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```python
def test_to_numpy(self, data):
expected = np.asarray(data)
result = data.to_numpy()
> self.assert_equal(result, expected)
```
This happens in `fletcher` for... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30842/events | https://github.com/pandas-dev/pandas/pull/30842 | 547,286,371 | MDExOlB1bGxSZXF1ZXN0MzYwODAxMzk3 | 30,842 | BUG: Handle nested arrays in array_equivalent_object | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/30843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30843/events | https://github.com/pandas-dev/pandas/issues/30843 | 547,300,372 | MDU6SXNzdWU1NDczMDAzNzI= | 30,843 | pre-commit check for flake8 doesn't check Cython code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30844/events | https://github.com/pandas-dev/pandas/issues/30844 | 547,348,684 | MDU6SXNzdWU1NDczNDg2ODQ= | 30,844 | Value Counts with categorical dtypes has unexpected behavior | {
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```python
df = pd.DataFrame({"A": [1, 2, 3], "B":[2, 3, 4],
"C": pd.Categorical(["A", "B", "C"]),
"D": pd.Categorical(["B", "C", "D"])})
df.dtypes.value_counts()
```
gives
```
int64 2
category 1
category ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30845/events | https://github.com/pandas-dev/pandas/issues/30845 | 547,410,988 | MDU6SXNzdWU1NDc0MTA5ODg= | 30,845 | numexpr inconsistent result | {
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"id... | open | false | null | [] | null | 4 | 2020-01-09T11:09:49Z | 2020-04-26T21:12:46Z | null | NONE | null | ```python
df = pd.DataFrame([5, 10, 15, 5, 10, 15, 5, 10, 15])
op = '<'
level = 10
t = df[0]
df['t'] = t[numexpr.evaluate(f't {op} {level}')]
trueConds = (df['t'] == np.nan)
```
#### Problem description
Column evaluated with numexpr and successfully creating a new col (t), however the trueConds finds... | {
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#### Code Sample, a copy-pastable example if possible
```python
In [39]: cat = pd.CategoricalDtype(categories=['foo', 'bar', 'baz'])
...: i1 = pd.Series(['foo', 'bar'], dtype=cat)
.... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
# Your code here
>>> import pandas as pd
>>> pd.__version__
'0.26.0.dev0+1717.g6437f5eb3'
>>> s = (
... pd.DataFrame({0: [1, 2, 3], 1: [4, 5, 6]})
... .unstack()
... .rename_axis([(1,), None])
... )
>>> s
(1,)
0 0 1
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30849/events | https://github.com/pandas-dev/pandas/issues/30849 | 547,539,535 | MDU6SXNzdWU1NDc1Mzk1MzU= | 30,849 | read_fwf reading large numbers as object dtype | {
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"descript... | closed | false | null | [] | null | 3 | 2020-01-09T15:13:53Z | 2020-06-17T21:42:13Z | 2020-06-17T21:42:13Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
>>> pd.read_fwf(r'D:\Other\ggg.txt', header=None, widths =[26,3,3,26])
0 1 2 3
0 +0000000000000000000000000 NaN CCY 30000000000000
1 +0077800000000000000000000 NaN ABF... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30850/events | https://github.com/pandas-dev/pandas/issues/30850 | 547,558,615 | MDU6SXNzdWU1NDc1NTg2MTU= | 30,850 | to_timedelta str int discrepancy | {
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```python
assert pd.to_timedelta(1,unit='s') == pd.to_timedelta('1',unit='s')
```
fails
```python
>>> pd.to_timedelta(20000,unit='s')
Timedelta('0 days 05:33:20')
>>> pd.to_timedelta('20000',unit='s')
Timedelta('0 days 00:00:00.000020')
```
#### Pro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30851/events | https://github.com/pandas-dev/pandas/issues/30851 | 547,571,227 | MDU6SXNzdWU1NDc1NzEyMjc= | 30,851 | Pandas read_excel sometimes using xlrd which has deprecated code in python 3.8.1 | {
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] | closed | false | null | [] | null | 5 | 2020-01-09T16:05:04Z | 2020-01-10T16:53:06Z | 2020-01-09T22:48:43Z | NONE | null | Hello,
Under some circumstances that I'm unable to systematically reproduce, pd.read_excel still uses xlrd.
With python 3.8, I get a DeprecationWarning, which I can't fix.
Since there is no maintainer anymore for xlrd, I must come back to you to get some advises. Would you be so kind to help me?
I'm using p... | {
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Have not yet added whatsnew entries. Will do so after review of API and behavior design.
A few design considerations open for discussion (among other things):
1. Index/column names: (self, other) vs (left, right) vs (old, new)
I used the (self, ot... | {
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https://github.com/pandas-dev/pandas/pull/29116#pullrequestreview-340272465
based on @jreback comment, this PR is a precursor PR for #29116 to make PR smaller and more readable | {
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```python
from unittest import TestCase
import numpy as np
import pandas as pd
class TestSubtract(TestCase):
def test_subtract_partially_aligned_multi_index_dataframes_with_nans(self):
df0 = pd.DataFrame(
data=[
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
xref #30092
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https://api.github.com/repos/pandas-dev/pandas/issues/30859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30859/events | https://github.com/pandas-dev/pandas/issues/30859 | 547,667,472 | MDU6SXNzdWU1NDc2Njc0NzI= | 30,859 | Multicolumn GroupBy appears to convert unit64s to floats | {
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```python
pd.DataFrame({'first': [1], 'second': [1], 'value': [16148277970000000000]}).groupby(['first', 'second'])['value'].max()
```
#### Problem description
When that code snippet runs, the result is not `16148277970000000000` as you would expect, but ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30860/events | https://github.com/pandas-dev/pandas/pull/30860 | 547,673,135 | MDExOlB1bGxSZXF1ZXN0MzYxMTE4OTk1 | 30,860 | REF: gradually move ExtensionIndex delegation to use inherit_names | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30861/events | https://github.com/pandas-dev/pandas/pull/30861 | 547,676,039 | MDExOlB1bGxSZXF1ZXN0MzYxMTIxMzQx | 30,861 | BUG: ExtensionArray._formatter does not need to handle nulls | {
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Currently, I don't think this is really specified whether the `_formatter` of ExtensionArray should be able to handle NAs/nulls or not, but in practice, it didn't need to do that. And eg the geopandas one is also implemented right now that it would... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30862/events | https://github.com/pandas-dev/pandas/pull/30862 | 547,676,808 | MDExOlB1bGxSZXF1ZXN0MzYxMTIxOTcy | 30,862 | Parallel Cythonization for spawned Processes | {
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https://bugs.python.org/issue33725
This fix should make things work regardless of platform / python version
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https://api.github.com/repos/pandas-dev/pandas/issues/30863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30863/events | https://github.com/pandas-dev/pandas/pull/30863 | 547,690,139 | MDExOlB1bGxSZXF1ZXN0MzYxMTMyOTAw | 30,863 | TYP: Fix typing errors in ExtensionOpsMixin | {
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This PR gets that number down to 106, which is nice. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30864/events | https://github.com/pandas-dev/pandas/pull/30864 | 547,706,241 | MDExOlB1bGxSZXF1ZXN0MzYxMTQ2MDc0 | 30,864 | DOC: Encourage use of pre-commit in the docs | {
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xref https://github.com/pandas-dev/pandas/pull/30773, https://github.com/pandas-dev/pandas/pull/30814
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Adding a note about the recommended way to upgrade to pandas 1.0, if that sounds OK | {
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... | 2 | 2020-01-09T21:10:32Z | 2020-07-08T00:34:43Z | null | CONTRIBUTOR | null | ```python
In [2]: df = pd.DataFrame({'a': [1], 'b': [None]})
In [3]: df
Out[3]:
a b
0 1 None
In [4]: df.set_index(['a', 'b'])
Out[4]:
Empty DataFrame
Columns: []
Index: [(1, nan)]
```
Values should not be silently converted from `None` to NaN when a column is used in a MultiIndex.
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... | 11 | 2020-01-09T21:18:52Z | 2020-07-10T13:58:36Z | null | CONTRIBUTOR | null | * Avoid DeprecationWarning followed by exception: https://github.com/pandas-dev/pandas/pull/30588#discussion_r364930269
* Update tests to filter warnings in plotting https://github.com/pandas-dev/pandas/pull/30588/files/74dffbedacb34bde7e5a8fb2396e0fef9efac499#diff-4b6d08e53050950f83ea75e432302f89
* Change Categorica... | {
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"id": 5... | open | false | null | [] | null | 1 | 2020-01-09T21:20:56Z | 2021-07-25T04:56:54Z | null | MEMBER | null | ```
pandas/tests/arithmetic/test_datetime64.py::TestDatetime64ArrayLikeComparisons::test_dt64arr_cmp_arraylike_invalid[tzlocal()-other0] FAILED [ 4%]
pandas/tests/arithmetic/test_datetime64.py::TestDatetime64ArrayLikeComparisons::test_dt64arr_cmp_arraylike_invalid[tzlocal()-other1] FAILED [ 8%]
pandas/tests/arithm... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30869/events | https://github.com/pandas-dev/pandas/issues/30869 | 547,767,888 | MDU6SXNzdWU1NDc3Njc4ODg= | 30,869 | pandas.util.testing no longer imported with pandas | {
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```python
In [1]: import pandas
In [2]: pandas.util.testing
Out[2]: <module 'pandas.util.testing' from '/private/tmp/pandas/util/testing.py'>
```
1.0
```python
In [1]: import pandas
In [2]: pandas.util.testing
---------------------------------------------------------------------------
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https://api.github.com/repos/pandas-dev/pandas/issues/30870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30870/events | https://github.com/pandas-dev/pandas/pull/30870 | 547,768,568 | MDExOlB1bGxSZXF1ZXN0MzYxMTk3Njg2 | 30,870 | BUG: set_index() and reset_index() not preserving object dtypes | {
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] | closed | false | null | [] | null | 16 | 2020-01-09T22:51:42Z | 2020-04-07T16:22:43Z | 2020-04-07T16:22:42Z | NONE | null | * changes to `set_index()` and `ensure_index_from_sequences()` to pass current dtype of key through call stack onto Index constructor, rather than letting Index constructor infer the dtype. For now I just aimed to patch a single key param from `set_index()`, as that is the lowest hanging fruit for this issue I think.
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```python
>>> import pandas as pd
>>>
>>> pd.__version__
'0.26.0.dev0+1731.g3ddd495e4'
>>>
>>> df = pd.DataFrame({"Name": ["Alice"], "Gender": ["F"]})
>>> df
Name Gender
0 Alice F
>>>
>>> df.append({"Name": "Bob", "Gender": "M"})
Traceback (... | {
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```python
import pandas as pd
pd.show_versions()
```
#### Problem description
Gets this output:
```
C:\Code\pandas_dev\pandas36\pandas\core\index.py:29: FutureWarning: pandas.core.index is deprecated and will be removed in a future version. The pub... | {
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```bash
python setup.py build_ext --inplace -j 8
```
#### Problem description
See some discussion in #30862 . I have 8 cores on Windows. When I use `-j 8`, in the middle of the build, I will get this error message:
```
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- [x] ~~closes #xxxx~~
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
import sqlite3
import pandas as pd
con = sqlite3.connect("tmp.db")
c = con.cursor()
c.execute("CREATE TABLE gpkg_contents (last_change DATETIME);")
c.execute("INSERT INTO gpkg_contents VALUES ('2019-01-01T00:00:00.000Z');")
con.commit()
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```
import pandas as pd
import numpy as np
from functools import partial
df = pd.DataFrame(
np.random.randn(1000, 3),
index=pd.date_range('1/1/2012', freq='S', periods=1000),
columns=['A', 'B', 'C']
)
dfg = df.resample('3T').agg(
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https://dev.pandas.io/docs/reference/api/pandas.DataFrame.set_axis.html
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- [x] closes #30871
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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(Prompted by [this Stack Overflow question](https://stackoverflow.com/q/59529424/2144390).)
When using `to_sql` with `mssql+pyodbc` and `fast_executemany=True`, uploading a DataFrame with a single row containing a tz-aware datetime into a `datetimeoffset` column causes the timezone offset... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
In [3]: df = pd.DataFrame({"A": pd.date_range("2000", periods=4), "B": [1, 2, 3, 4]}).reindex([2, 3, 4])
In [4]: df.sum()
```
```pytb
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
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```pytb
In [7]: pd.util.hash_pandas_object(pd.Series(['a', 'b']), hash_key=None)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-7-00d1f153287e> in <module>
----> 1 pd.... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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#### Code Sample, a copy-pastable example if possible
```python
pd.Series([1, 2, 3], dtype="Int16").diff()
```
```
0 NaN
1 1
2 1
dtype: object
```
#### Problem description
Output dtype becomes `object`.
#### Expected Output
Output dtype remains `Int16Dtype`.
#### Ou... | {
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Otherwise, we'd need to rethink those links, since the last one i... | {
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in new pre-release 1.0.0.rc0, sliced value assignment for multi-indexed dataframe with duplicated datetime indices would fail
```python
import pandas as pd
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The integration of the new numpydoc script in pandas is ready in #30746 | {
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similar to @cbertinato great work in #28595 but done deeper in the C extension | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30904/events | https://github.com/pandas-dev/pandas/issues/30904 | 548,335,878 | MDU6SXNzdWU1NDgzMzU4Nzg= | 30,904 | to_json doesn't work with Datetime.date | {
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```python
>>> import pandas as pd
>>> import datetime
>>> data = [datetime.date(year=2020, month=1, day=1), "a"]
>>> pd.Series(data).to_json(date_format="iso")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/williamayd/clones/... | {
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- [ ] closes #xxxx
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- [x] closes #29399
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/30914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30914/events | https://github.com/pandas-dev/pandas/issues/30914 | 548,410,791 | MDU6SXNzdWU1NDg0MTA3OTE= | 30,914 | Make a code check which bans imports of fixtures in tests | {
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Example: writing
```
from pandas.conftest import ALL_EA_INT_DTYPES
```
in a test file should be disallowed because there exists the fixture `any_nullable_int_dtype` | {
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