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https://api.github.com/repos/pandas-dev/pandas/issues/32517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32517/events | https://github.com/pandas-dev/pandas/pull/32517 | 577,333,398 | MDExOlB1bGxSZXF1ZXN0Mzg1MTQzODM3 | 32,517 | CLN: Suppres compile warnings of pandas/io/sas/sas.pyx | {
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---
This is the warning that get removed:
```
pandas/io/sas/sas.c: In function ‘__pyx_f_6pandas_2io_3sas_4_sas_rdc_decompress’:
pandas/io/sas/s... | {
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---
Not 100% sure about this, can close anytime if not a good PR | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32525/events | https://github.com/pandas-dev/pandas/pull/32525 | 577,385,132 | MDExOlB1bGxSZXF1ZXN0Mzg1MTgyMDYy | 32,525 | TST: remove unused kwargs in assert_sp_array_equal | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32526/events | https://github.com/pandas-dev/pandas/issues/32526 | 577,386,917 | MDU6SXNzdWU1NzczODY5MTc= | 32,526 | API: Timestamp positional arguments not aligned with datetime.datetime | {
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This is the main cause for https://github.com/pandas-dev/pandas/issues/32174 as dispatching to `datetime.datetime` methods sometimes reconstruc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32528/events | https://github.com/pandas-dev/pandas/issues/32528 | 577,395,322 | MDU6SXNzdWU1NzczOTUzMjI= | 32,528 | DataFrame.describe() output is not deterministic | {
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Running this:
```python
pd.DataFrame({
'categorical': pd.Categorical(['d', 'e', 'f']),
'numeric': [1, 2, 3],
'object': ['a', 'b', 'c']
})
df.describe(include="all")
```
Will sometimes have the output of:
```
categorical numeric object
count 3 3.0 3
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https://api.github.com/repos/pandas-dev/pandas/issues/32529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32529/events | https://github.com/pandas-dev/pandas/issues/32529 | 577,399,493 | MDU6SXNzdWU1NzczOTk0OTM= | 32,529 | DOC: Remove absolute urls from the docs | {
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Sphinx (the tool we use to build the docs) provi... | {
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I'm uploading all the docs from the NumFOCUS server to the OVH (manually). And I'm changing the CI in this PR to upload the website and the dev docs to the server automatically.
I'll have a look and see if we can upload a new version of the docs automatically to OVH when a new GitHub release i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32531/events | https://github.com/pandas-dev/pandas/pull/32531 | 577,408,070 | MDExOlB1bGxSZXF1ZXN0Mzg1MTk4NjA3 | 32,531 | DOC: Update pandas.core.groupby.GroupBy.pipe docstring | {
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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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The definition of `pandas.core.base.IndexOpsMixIn.transpose` (a... | {
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I'm pretty sure the comment there is wrong too. | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Let's us de-kludge to_datetime code, getting rid of another _ndarray_values usage. | {
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The last PDF documentation 1.0.1. (Feb 05, 2020) has no table of contents, no bookmarks.
I made Contents in the form of bookmarks, meanwhile up to level 2.
The edited (bookmarked) pdf file is here: [pandas.pdf](https://github.com/pandas-dev/pandas/files/4303229/pandas.pdf).
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- [x] closes #32394
- [x] tests added / passed
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#### Code Sample, a copy-pastable example if possible
```python
obj = pd.Series()
result = obj.fillna(0)
assert obj is not result # raises AssertionError
```
#### Problem description
See `test_fillna` in the mentioned PR (or master when it is mer... | {
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The type hint gives the type as "Label" and I could not find any other reference to a custom type defined in pandas._typing which ... | {
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"gists... | null | 33 | 2020-03-09T02:53:20Z | 2021-05-20T20:43:14Z | null | CONTRIBUTOR | null | In #26933, we made the capitalization of titles consistent. For example, a title used to be capitalized like, "This is the Section Title", and many of the titles in the _pandas_ documentation was changed to a correct format, like "This is the section title".
In #31114, we made a script called `scripts/validate_rst_... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Related to #27977.
```
################################################################################
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Consider the following series
```python
left = Float64Index([329.973, 345.137, 360.191, 376.313, 393.235, 411.969, 434.968, 464.453], dtype='float64')
right = pd.Float64Index([345.137, 360.191, 376.313, 393.235, 411.969, 434.968, 464.453, 507.679], dtype='floa... | {
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```python
# Your code here
import pandas as pd
import io
content = io.StringIO('''
time,val
212.23, 32
''')
pd.set_option('compute.use_numexpr', False)
print("use numexpr? %d" % pd.get_option('compute.use_numexpr'))
df = pd.read_csv(
content,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32558 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32558/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32558/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32558/events | https://github.com/pandas-dev/pandas/pull/32558 | 578,117,499 | MDExOlB1bGxSZXF1ZXN0Mzg1NzU4MDE2 | 32,558 | BUG: pivot_table losing tz | {
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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
This gets rid of the last values_from_object usage (pending other PRs)
`_tile_compat` likely makes more sense as an Index method. I kept it here ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32559 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32559/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32559/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32559/events | https://github.com/pandas-dev/pandas/issues/32559 | 578,119,456 | MDU6SXNzdWU1NzgxMTk0NTY= | 32,559 | date_range() : allowing argument closed to have value 'open' | {
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```
# My current code to get rid of both extremities of the DateTimeIndex returned by date_range()
def my_date_range(start: pd.Timestamp, end: pd.Timestamp, freq: str) -> pd.DatetimeIndex:
"""
Remove automatically first and last timestamps from the generated DateTimeIndex.
"""
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https://api.github.com/repos/pandas-dev/pandas/issues/32560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32560/events | https://github.com/pandas-dev/pandas/pull/32560 | 578,125,591 | MDExOlB1bGxSZXF1ZXN0Mzg1NzY0NDkw | 32,560 | TST: Add extra test for pandas.to_numeric() for issue #32394 | {
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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 (covered by PR #32541)
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https://api.github.com/repos/pandas-dev/pandas/issues/32561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32561/events | https://github.com/pandas-dev/pandas/pull/32561 | 578,133,428 | MDExOlB1bGxSZXF1ZXN0Mzg1NzcwODEz | 32,561 | Ensure valid Block mutation in SeriesBinGrouper. | {
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"followers_url": "https://api.github.... | 8 | 2020-03-09T19:16:11Z | 2020-03-11T18:34:49Z | 2020-03-11T18:34:48Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/31802
~This "fixes" #31802 by expanding the number of cases where we swallow an
exception in libreduction. Currently, we're creating an invalid Series
in SeriesBinGrouper where the `.mgr_locs` doesn't match the values. See
https://github.com/pandas-dev/pandas/iss... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32562/events | https://github.com/pandas-dev/pandas/issues/32562 | 578,140,708 | MDU6SXNzdWU1NzgxNDA3MDg= | 32,562 | CI: TravisCI Failing | {
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Bad: https://travis-ci.org/pandas-dev/pandas/jobs/660210493#L1
https://travis-ci.org/pandas-dev/pandas/jobs/660210493#L175-L177 looks strange.
```
$ export PATTERN=""(not slow and not network and not clipboard)""
/home/travis/.travis/functions: ... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I added the question mark to the `_static` folder. When rebuilding the documentation pages locally using the latest version of the `pydata-bootstrap... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Adds match arguments to pytest.raises calls in pandas/tests/generic/test_frame.py
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https://api.github.com/repos/pandas-dev/pandas/issues/32568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32568/events | https://github.com/pandas-dev/pandas/pull/32568 | 578,228,630 | MDExOlB1bGxSZXF1ZXN0Mzg1ODQ5ODI5 | 32,568 | PERF: copy cached attributes on index shallow_copy | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The performance of the example in #28584 is:
```python
>>> idx = pd.Index(np.arange(100_000))
>>> %timeit idx.get_loc(99_999)
1.17 µs ± 80.6 n... | {
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```python
import pandas as pd
index_st = pd.MultiIndex.from_tuples([(1,1),(1,2),(2,1),(2,2)], names=['second','third'])
index_ft1 = pd.MultiIndex.from_tuples([(1,1),(1,2),(2,1),(2,2)], names=['first','third'])
index_ft2 = pd.MultiIndex.from_tuples([(1,1),(2,1),(1,2),(2,2)], names=['first','thi... | {
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... | 4 | 2020-03-10T06:39:51Z | 2021-07-30T03:11:24Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.date_range('2020', 'now').get_loc(pd.NaT, method='nearest')
0
# Ok? NaT would be better to propagate.
>>> pd.date_range('2020', 'now', tz='US/Central').get_loc(pd.NaT, method='nearest')
-------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32575 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32575/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32575/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32575/events | https://github.com/pandas-dev/pandas/pull/32575 | 578,447,759 | MDExOlB1bGxSZXF1ZXN0Mzg2MDI1NjY5 | 32,575 | TST: Add tests for duplicated and drop_duplicates | {
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- [x] tests added / passed
- [x] tests duplicated and drop_duplicates for period, categorical, datetimes, timedelta | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32576/events | https://github.com/pandas-dev/pandas/issues/32576 | 578,466,491 | MDU6SXNzdWU1Nzg0NjY0OTE= | 32,576 | Index.insert(-1, value) should add value in the last position | {
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``Index.insert(-1, value)`` should add value in the last position instead of one before the last position, shouldn't it?
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit : None
python : 3.7.6.fina... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32577/events | https://github.com/pandas-dev/pandas/pull/32577 | 578,475,180 | MDExOlB1bGxSZXF1ZXN0Mzg2MDQ4MTcz | 32,577 | REG: Restore read_csv function for some file-likes | {
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Restores behavior down to the fact that the Python engine cannot handle NamedTemporaryFile.
Closes https://github.com/pandas-dev/pandas/issues/31819
Credit to @sasanquaneuf for [originating idea](https://github.com/pandas-dev/pandas/issues/31819#issue... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32578 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32578/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32578/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32578/events | https://github.com/pandas-dev/pandas/pull/32578 | 578,606,938 | MDExOlB1bGxSZXF1ZXN0Mzg2MTU1NjIy | 32,578 | Backport PR #31684 on branch 1.0.x (BUG: string methods with NA) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32579/events | https://github.com/pandas-dev/pandas/issues/32579 | 578,683,056 | MDU6SXNzdWU1Nzg2ODMwNTY= | 32,579 | [QST] Clarify when `agg()` will return groups as index | {
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In [44]: a = pd.DataFrame({'a': [1, 1, 2], 'b': [1, 2, 3]})
In [45]: a.groupby('a').agg('sum') # 'a' is returned as index
Out[45]:
b
a
1 3
2 3
In [46]: a.groupby('a').agg('nunique') # 'a' is returned both as index and column
Out[46]:
a b
a
1 1 2
2 1 1
```
The groupby [documentation... | {
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In [53]: a = pd.DataFrame({'a': [1, 1, 2], 'b': [1, 2, 3], 'c': [1, 2, 4]})
In [54]: a.groupby('a').agg({'c': ['min']}) # name preserved in index
Out[54]:
c
min
a
1 1
2 4
In [55]: a.groupby('a').agg({'b': [], 'c': ['min']}) # name lost in index
Out[55]:
c
min
1 1
2 4
```
In... | {
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import pandas
df = pandas.DataFrame({'a': [pandas.Timestamp('20200309T120000.000000-0400'), pandas.Timestamp('20200309T130000.000000-0400')]})
df.astype({'a': pandas.api.types.DatetimeTZDtype(unit='ns', tz='UTC')})
```
```
a
0 2020-03-09 16:00:00+00:00
1 2020-03-09 17:00:00... | {
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If we try to define a dataframe using a dictionary containing a set, we get:
```python
pd.DataFrame({'a':{1,2,3}})
a
0 {1, 2, 3}
1 {1, 2, 3}
2 {1, 2, 3}
```
#### Problem description
The set is being replicated `n` times, `n` being the length of the actual set.
While defini... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32583 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32583/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32583/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32583/events | https://github.com/pandas-dev/pandas/pull/32583 | 578,695,218 | MDExOlB1bGxSZXF1ZXN0Mzg2MjI3MTIy | 32,583 | CLN: remove unreachable code in pandas/core/groupby/generic.py::DataFrameGroupBy::_transform_general | {
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```
else:
# Handle cases like BinGrouper
return self._concat_objects(keys, values, not_indexed_same=not_indexed_same)
```
necessary? The condition before it is
```
elif self.grouper.groupings is not None
```
. However, even in the case of `BinGrouper`, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32584 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32584/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32584/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32584/events | https://github.com/pandas-dev/pandas/issues/32584 | 578,695,323 | MDU6SXNzdWU1Nzg2OTUzMjM= | 32,584 | Document `DataError` in the API | {
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... | 1 | 2020-03-10T16:09:40Z | 2021-07-30T03:13:32Z | null | CONTRIBUTOR | null | Currently, some groupby operations can raise a `DataError` that does not seem to be documented:
```
In [7]: a = pd.DataFrame({'a': [1, 2, 3, 4], 'b': ['a', 'b', 'c', 'd']})
In [8]: a.groupby('a').mean()
---------------------------------------------------------------------------
DataError ... | {
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"gi... | [] | closed | false | null | [] | null | 4 | 2020-03-10T16:18:40Z | 2020-03-11T19:05:11Z | 2020-03-11T19:05:11Z | CONTRIBUTOR | null | The monthly dev meeting is tomorrow at 18:00 UTC. Note that your local time may be different than last month. The US had a DST transition last weekend, while Europe didn't. Our calendar is at https://pandas.pydata.org/docs/development/meeting.html#calendar
Video Call: https://meet.google.com/hav-rmax-zjx
Minutes: h... | {
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"description": "R... | open | false | null | [] | null | 52 | 2020-03-10T16:28:14Z | 2020-11-11T20:38:25Z | null | MEMBER | null | This is as good a time as any to revisit the "experimental" EA interface.
My read of the Issues and recollection of threads suggests there are three main groups of topics:
Clarification of the Interface
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1) _values_for_argsort and values_for_factorize
- Do we need both? The do... | {
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```python
import pandas as pd
from datetime import datetime, timezone
df = pd.DataFrame.from_records([
(1, datetime.now().replace(tzinfo=timezone.utc)),
(2, datetime.now().replace(tzinfo=timezone.min))],
columns=["1", "2"])
print(df["2"])
... | {
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```python
df2 = pd.read_csv(io.StringIO('col1,col2,col3\n2,1'), keep_default_na=False)
```
#### Problem description
This returns an array of [[col1,col2,col3], [0,2,'']]. This doesn't make sense to me since the final row is malformed and doesn't have enough... | {
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"description": "String extension data ty... | open | false | null | [] | null | 0 | 2020-03-10T18:05:34Z | 2020-06-07T00:34:21Z | null | NONE | null | Minimal example to highlight the issue I'm seeing when using pandas query to filter rows:
#### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame(['A test case', 'Another Testing Case'], columns=list('A'))
df.query("A.str.contains(r'\btest\b', regex=True, case=False)", engine='python')... | {
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Is there interest in a solution following this approach?
[Link to SO](https://stackoverflow.com/a/60617297)
```python
import pandas as pd
import numpy as np
import matplotlib.pyplot ... | {
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"followers_url": "https://api.github.... | 9 | 2020-03-10T18:59:28Z | 2020-03-12T17:02:55Z | 2020-03-12T02:26:13Z | MEMBER | null | - [x] closes #31971
- [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 numpy as np
import pandas as pd
indx = np.array([5, 4, 3, 2, 1, 6, 7, 8, 9, 10])
col1 = np.array([5, 4, 3, 5, 8, 5, 2, 1, 6, 6])
col2 = np.array([5, 4, np.nan, 5, 8, 5, np.inf, np.nan, 6, -np.inf])
pdf = pd.DataFrame(index=indx)
pdf["col1"] = col1.astype('f8... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32594/events | https://github.com/pandas-dev/pandas/pull/32594 | 578,809,047 | MDExOlB1bGxSZXF1ZXN0Mzg2MzIxMjIy | 32,594 | BUG: Don't multiply sets during construction | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32596/events | https://github.com/pandas-dev/pandas/pull/32596 | 578,851,444 | MDExOlB1bGxSZXF1ZXN0Mzg2MzU2NDA4 | 32,596 | Backport PR #32592 on branch 1.0.x (DOC: cleanup 1.0.2 whatsnew) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32597 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32597/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32597/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32597/events | https://github.com/pandas-dev/pandas/pull/32597 | 578,877,726 | MDExOlB1bGxSZXF1ZXN0Mzg2Mzc4MzA0 | 32,597 | REF: implement nanops.na_accum_func | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32598/events | https://github.com/pandas-dev/pandas/pull/32598 | 578,880,573 | MDExOlB1bGxSZXF1ZXN0Mzg2MzgwNjgx | 32,598 | BUG: Fix file descriptor leak | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/32599 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32599/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32599/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32599/events | https://github.com/pandas-dev/pandas/issues/32599 | 578,898,136 | MDU6SXNzdWU1Nzg4OTgxMzY= | 32,599 | [BUG] Groupby with as_index=False raises error when type is Category. | {
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```python
import pandas as pd
test = pd.DataFrame([[1, 1], [2, 2], [3, 3]], columns=['col1', 'col2'])
test['col1'] = test['col1'].astype('category')
test.groupby(['col1', 'col2'], as_index=False).size()
```
#### Problem description
With pandas 1.0.1, the code throws an e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32600/events | https://github.com/pandas-dev/pandas/issues/32600 | 578,903,528 | MDU6SXNzdWU1Nzg5MDM1Mjg= | 32,600 | Pyarrow and custom dtypes | {
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Are there anymore robust examples showing how to convert custom dtypes to and from Apache arrow?
Essentially my dtype is a dictionary like data structure but I want to use the arrow storage format.
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https://api.github.com/repos/pandas-dev/pandas/issues/32601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32601/events | https://github.com/pandas-dev/pandas/pull/32601 | 578,906,697 | MDExOlB1bGxSZXF1ZXN0Mzg2NDAxODA3 | 32,601 | TST: assert monotonic is True | {
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This is a documented argument but strangely not universally implemented for all argument types. Both @jbrockmendel and I agreed it is probably better to deprecate and push users towards using something like what @jreback suggested in https://github.com/pandas-dev/pandas/iss... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32612/events | https://github.com/pandas-dev/pandas/pull/32612 | 579,003,871 | MDExOlB1bGxSZXF1ZXN0Mzg2NDc5MTcy | 32,612 | CLN: remove Block.array_dtype, SingleBlockManager.array_dtype | {
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"color": "fbc... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-03-11T04:35:40Z | 2020-03-14T16:27:26Z | 2020-03-14T03:30:13Z | MEMBER | null | We can get a more accurately-dtyped empty array instead. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32613/events | https://github.com/pandas-dev/pandas/pull/32613 | 579,007,229 | MDExOlB1bGxSZXF1ZXN0Mzg2NDgxOTM1 | 32,613 | DOC: Validating that the word pandas is correctly capitalized | {
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"description": "Continuous Integratio... | closed | false | null | [] | null | 17 | 2020-03-11T04:48:02Z | 2020-04-01T15:36:21Z | 2020-04-01T15:36:21Z | CONTRIBUTOR | null | - [x] closes #32316
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
As suggested by @datapythonista , I've added checks in `ci/code_checks.sh` to look if the `pandas` is being referenced in a standardized way i.e `p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32614/events | https://github.com/pandas-dev/pandas/issues/32614 | 579,046,891 | MDU6SXNzdWU1NzkwNDY4OTE= | 32,614 | Negated str.isnumeric() fails on column with None when called together with notnull() in the same boolean expression | {
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] | closed | false | null | [] | null | 2 | 2020-03-11T06:52:27Z | 2020-09-21T12:03:53Z | 2020-09-21T12:03:53Z | NONE | null | #### Code Sample
Create a dataframe:
```
import pandas as pd
df = pd.DataFrame({'A': ['0', '1', '2', 'X', None]})
```
Obviously this fails:
```
print(df[df.A.str.isnumeric()])
```
So I can do this and it works:
```
print(df[df.A.notnull() & df.A.str.isnumeric()])
```
However when negating the `str... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32615/events | https://github.com/pandas-dev/pandas/issues/32615 | 579,081,299 | MDU6SXNzdWU1NzkwODEyOTk= | 32,615 | PARSE ERROR | {
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... | [] | closed | false | null | [] | null | 3 | 2020-03-11T08:12:49Z | 2020-03-11T21:46:21Z | 2020-03-11T21:46:21Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
PLEASE HELP!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
CODE::
import pandas as pd
file1 = r'D:\C_pH\Book1 Lat_LongVspH.csv';
df = pd.read_csv(file1)
**#### Output**
ParserError Traceback (most recen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32616/events | https://github.com/pandas-dev/pandas/issues/32616 | 579,094,872 | MDU6SXNzdWU1NzkwOTQ4NzI= | 32,616 | Incorrect result with DateOffset.rollback for normalize=True | {
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"description": "DateOffsets",
"id": ... | open | false | null | [] | null | 1 | 2020-03-11T08:40:46Z | 2020-06-28T20:26:55Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas.tseries.offsets import MonthBegin
MonthBegin(normalize=True).rollback('2020-4-1 12:34')
Out[2]: Timestamp('2020-03-01 00:00:00')
```
#### Problem description
It rollbacks to the beginning of the previous month instead of the current ... | {
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