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https://api.github.com/repos/pandas-dev/pandas/issues/41920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41920/events | https://github.com/pandas-dev/pandas/pull/41920 | 916,996,168 | MDExOlB1bGxSZXF1ZXN0NjY2NTkyMzU0 | 41,920 | PERF: fix regression in reductions for boolean/integer data (assume no missing values) | {
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"followers_url": "https://api.github.com... | 3 | 2021-06-10T07:13:31Z | 2021-06-11T10:48:02Z | 2021-06-10T11:20:57Z | MEMBER | null | Address performance regression in https://github.com/pandas-dev/pandas/pull/41711/files#r647515492 (https://pandas.pydata.org/speed/pandas/#series_methods.All.time_all?python=3.8&Cython=0.29.21&p-N=1000000&p-case='fast'&p-dtype='bool'&commits=9231b495-44237a58)
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https://api.github.com/repos/pandas-dev/pandas/issues/41921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41921/events | https://github.com/pandas-dev/pandas/pull/41921 | 917,145,224 | MDExOlB1bGxSZXF1ZXN0NjY2NzE4NTQ5 | 41,921 | BUG: Scalar assignment to empty dataframe with loc. Closes GH41891 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41922/events | https://github.com/pandas-dev/pandas/pull/41922 | 917,185,126 | MDExOlB1bGxSZXF1ZXN0NjY2NzUzNTUx | 41,922 | DOC: add contributors to 1.3 release notes | {
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We will be publishing the docs at https://pandas.pydata.org/pandas-docs/version/1.3.0/ and linked from the rc announcement. (It's the same url for the actual release and the rc docs are replaced)
we haven't yet released 1.2.5 so the 1.2.5 tag does not yet exist. used 1.2.4 fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41923/events | https://github.com/pandas-dev/pandas/pull/41923 | 917,231,941 | MDExOlB1bGxSZXF1ZXN0NjY2Nzk0NzQ3 | 41,923 | Revert "PERF: reductions" | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import datetime
times = p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41929/events | https://github.com/pandas-dev/pandas/pull/41929 | 917,577,928 | MDExOlB1bGxSZXF1ZXN0NjY3MDkyMjAy | 41,929 | REF: de-duplicate IntervalIndex._intersection | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41930/events | https://github.com/pandas-dev/pandas/issues/41930 | 917,651,513 | MDU6SXNzdWU5MTc2NTE1MTM= | 41,930 | BUG: pd.Grouper cannot be reused in some cases | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [X] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import numpy as np
impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41931/events | https://github.com/pandas-dev/pandas/pull/41931 | 917,753,473 | MDExOlB1bGxSZXF1ZXN0NjY3MjUwNjE3 | 41,931 | BUG/REF: use sorted_rank_1d for rank_2d | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 3 | 2021-06-10T19:15:10Z | 2021-06-25T17:41:05Z | 2021-06-25T17:36:29Z | MEMBER | null | - [x] closes #19560 (All the inconsistencies are addressed, but could be left open if we want to remove object support)
- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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https://api.github.com/repos/pandas-dev/pandas/issues/41932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41932/events | https://github.com/pandas-dev/pandas/pull/41932 | 917,893,983 | MDExOlB1bGxSZXF1ZXN0NjY3MzgyOTE1 | 41,932 | TST: Add tests for numeric_only default behaviour (GH41351) | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/41933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41933/events | https://github.com/pandas-dev/pandas/pull/41933 | 917,931,215 | MDExOlB1bGxSZXF1ZXN0NjY3NDE3MDQ3 | 41,933 | BUG: CategoricalIndex.get_loc(np.nan) | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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https://api.github.com/repos/pandas-dev/pandas/issues/41934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41934/events | https://github.com/pandas-dev/pandas/pull/41934 | 917,978,521 | MDExOlB1bGxSZXF1ZXN0NjY3NDYwNjIw | 41,934 | BUG: IntervalIndex.get_indexer with categorical both have nans | {
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Started with moving a fastpath from IntervalIndex to the base class. In the process found ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41935/events | https://github.com/pandas-dev/pandas/issues/41935 | 918,038,987 | MDU6SXNzdWU5MTgwMzg5ODc= | 41,935 | CI: py 3.10 build failing | {
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... | 6 | 2021-06-10T23:17:19Z | 2021-11-01T23:46:25Z | null | MEMBER | null | @seberg this build is using numpy 1.22dev, looks like a bunch of the failures are raising in `np.iinfo(np.int64).max`
```
return np.iinfo(np.int64).max
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[AttributeError("'iinfo' object has no attribute 'kind'") raised in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41936/events | https://github.com/pandas-dev/pandas/pull/41936 | 918,043,099 | MDExOlB1bGxSZXF1ZXN0NjY3NTE4NDIy | 41,936 | CLN: Remove useless Validation functions | {
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Not sure what the point of these were. | {
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Mypy doesn't seem to like generic types with default values? | {
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Note: Some of these are flaky.
- [x] ``TestUnique.test_first_nan_kept``
<Details>
________________________ TestUnique.test_first_nan_kept ________________________
self = <pandas.tests.test_algos.TestUnique object at 0x7fe611cc19c0>
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
pd.... | {
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**Problem**: Frequency string `'D'` and `pd.offsets.Day` can mean 24 hours or calendar day (23/24/25H) depending on the operation
**Original Settled Solution**: Deprecate all behavior where Frequency string `'D'` and `p... | {
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this does not update the `__array__` to `to_numpy` methods of EA, see https://github.com/pandas-dev/pandas/pull/41185#issuecomment-852469918 but does need a couple of ignores till that is done.
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https://api.github.com/repos/pandas-dev/pandas/issues/41946 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41946/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41946/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41946/events | https://github.com/pandas-dev/pandas/pull/41946 | 918,524,119 | MDExOlB1bGxSZXF1ZXN0NjY3OTQ0Mzgx | 41,946 | ENH: `sparse_columns` and `sparse_index` added to `Styler.to_html` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41947 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41947/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41947/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41947/events | https://github.com/pandas-dev/pandas/issues/41947 | 918,581,165 | MDU6SXNzdWU5MTg1ODExNjU= | 41,947 | ENH: Give name to index column as argument when using `df.reset_index` | {
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When resetting the index of a `DataFrame`, and when needing to rename the "index" column to something more useful, it would be nice to do it directly with the call to`reset_index` (and not afterwards with `df.rename`).
#### Describe the solution you'd like
`Data... | {
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```
In [10]: idx = pd.date_range("2012", periods=3, freq="D")
In [11]: res = pickle.dumps(idx[0])
In [12]: pickle.loads(res)
/home/joris/miniconda3/envs/dev/bin/ipython:1: FutureWarning: The 'freq' argument in Timestamp is deprecated and will be remove... | {
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https://github.com/pandas-dev/pandas/blob/05552d354a430f17a45b5fda8a1fd417f4c60c2e/pandas/core/reshape/melt.py#L109
This is really unfortunate -- melting should handle such cases
id value value
id1 2 3
should go to
id1 2... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
NaNs as Float are already handled correctly (all nans are the same equavalency class), thi... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
Due to this change in CPython: https://github.com/python/cpython/commit/a07da09ad5... | {
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https://github.com/pandas-dev/pandas/milestone/86
Currently scheduled for December 31, 2021 (with a release candidate around 2 weeks before)
List of open regressions: https://github.com/pandas-dev/pandas/iss... | {
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This surfaces another bug in `StringArray.__getitem__` that I haven't looked into yet. | {
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orthogonal but related to #41956 | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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@simonjayhawkins I think this changed in May last year, so probably not woth backporting? | {
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after dropna('rows'), the dataframe index changes from RangeIndex to Int64Index even when nothing changed in the dataframe.
reset_index after dropna will fix it, but it should be avoided in the first place.
#### Code Sample, a copy-pastable example
```python
df = pd.DataFrame ({'a':range(1000)})
df.info()
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For sparce data it is particuarly helpful to preserve null values when doing reduction operations. I end up using this (see below) wrapper function to achieve the intended result.
```
def any_nan(x):
if pd.isnull(x).all():
return pd.NA
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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- [ ] tests added / passed
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
```python
s = Series(["a", "b"])
np.char.find(s, "b")
# or np.... | {
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```
mi = pd.MultiIndex.from_product([range(3), ["A", "B"]])
ser = pd.Series(len(mi), index=mi)
>>> ser.loc[1, ["A", "B", "not a key"]]
1 A 6
B 6
dtype: int64
>>> ser.loc[[99999], ["A", "B"]]
Series([], dtype: int64)
>>> ser.lo... | {
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There was a issue 5 years ago mentioned that `.to_hdf()` acts inconsistently across Python2 & 3 on `PeriodIndex` for fixed format
https://github.com/pandas-dev/pandas/issues/16781
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* `assert_attr_equal("dtype", left, right, obj=obj)` currently isn't run if `check_categorical` is False (even if the indexes are not CategoricalIndexes)
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This builds upon #41952, which should be integrated first.
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Most of the new minimum support versions were released between Oct 14, 2019, Python 3.8's initial release date, and June/July 2020. | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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] | closed | false | null | [] | null | 3 | 2021-06-14T05:25:32Z | 2021-07-16T09:06:12Z | 2021-07-16T09:06:11Z | NONE | null | - [X] closes #41901
- [ ] No tests added
- [X] All linting passed (used `isort` to add imports)
- What's New:
Built a [script](https://gist.github.com/aacosta13/eb1cb4b22ece354c60f0e7aab90137b0) using `isort` to add `from __future__ import annotations` to necessary files as referenced by issue #41901. | {
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<!-- END pr-commits -->
## Base PullRequest
default branch (https://github.com/pandas-dev/pandas/tree/master)
## Command results
<details>
<summary>Details: </summary>
</details>
## Changed files
<details>
<summary>Changed file: </summary>
</details>
<hr>
[:octocat: Repo](https://g... | {
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It makes the new `Styler.apply_index` and `Styler.applymap_index` methods compatible with `Styler.to_latex`.

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```
df = pd.DataFrame({"A": [0, 1, 2], "B": [-0.61, -1.22, -2.22], "C": ["ab", "cd", "de"]})
cidx = pd.Mul... | {
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It makes the new `Styler.apply_index` and `Styler.applymap_index` methods compatible with `Styler.to_excel`. If the methods are not used the output reverts to the old format.
 snippet worked with 1.2:
```python
df = pd.DataFrame(columns=["a", "b"])
df["a"] = df.apply(lambda x: x["a"], axis=1)
```
With 1.3 it fails with `ValueError: Columns must be same length as key`
Technically this is correct - the apply on an empty frame returns ... | {
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```python
pd.DataFrame(columns=["date", "crew_member_id"])
.groupby(["date", "crew_member_id"], as_index=False)
.sum()
```
#### Problem description
With 1.3rc1 this fails with `ValueError: Length of values (0) does not match length of index (1)` while 1.2 r... | {
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```python
def apply_func(df):
del df["MEMBER_ID"]
return df.head(1)
df = pd.DataFrame.from_dict(
{
"MONTH": {0: "April", 1: "April", 2: "April"},
"MEMBER_ID": {0: "Member A", 1: "Member A", 2: "Member B"},
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... | 2 | 2021-06-14T12:56:50Z | 2021-06-16T09:34:33Z | 2021-06-16T09:34:33Z | CONTRIBUTOR | null | #### Is your feature request related to a problem?
Let's consider the following snippet:
```python
pd.DataFrame(index=[pd.to_datetime("2019"), pd.to_datetime("2019"), pd.to_datetime("2020")]).asfreq("M")
```
This will raise an exception as the to be resampled dataframe has an axis with duplicates. The proble... | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
The documentation on `result_type` for `DataFrame.apply` states
>‘broadcast’ :... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
Probably an intended change, but I didn't find anything related to it in the whats... | {
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- [X] (optional) I have confirmed this bug exists on the master branch of pandas. (confirmed on 0b68d87a443)
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Currently `DataFrame.apply` works asymmetrically.
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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I'm proposing the addition of another community tutorial to the [Community tutorials](https://pandas.pydata.org/docs/getting_started/tutorials.html) page.
#### Documentation problem
Not a problem, but an opportunity for improvement.
#### Suggested fix for documentation
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https://api.github.com/repos/pandas-dev/pandas/issues/42011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42011/events | https://github.com/pandas-dev/pandas/pull/42011 | 921,000,172 | MDExOlB1bGxSZXF1ZXN0NjcwMDY1OTA2 | 42,011 | Update frame.py | {
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import pandas as pd
x = pd.Series(range(3), index=pd.MultiIndex.from_arrays([['a', 'b', 'c'], [1, 2, 3]], names=['letters', 'numbers']))
print(x.reset_index('numbers', drop=True))
- [ ] closes #xxxx
- [ ] tests added / passed
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
Benchmarks:
<details>
```
before after ratio
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import pandas as pd
x = pd.Series(range(3), index=pd.MultiIndex.from_arrays([['a', 'b', 'c'], [1, 2, 3]], names=['letters', 'numbers']))
print(x.reset_index('numbers', drop=True))
- [ ] closes #xxxx
- [ ] tests added / passed
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This issue is due to the asymmetric application of `DataFrame.apply` (#42005).
**The bug** is that when using `Styler.apply` the treatment of Series return objects is applied for `axis=0` and overwritten for `axis=1`.
```python
df = pd.DataFrame([[1,2],[3,4]], index=["X", "Y"], columns=["X... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42015/events | https://github.com/pandas-dev/pandas/issues/42015 | 921,087,908 | MDU6SXNzdWU5MjEwODc5MDg= | 42,015 | DOC: pandas.Series.str.isspace has wrong documentation | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2021-06-15T07:24:21Z | 2021-06-15T22:40:31Z | 2021-06-15T22:40:31Z | CONTRIBUTOR | null | #### Location of the documentation
[pandas.Series.str.isspace](https://pandas.pydata.org/docs/dev/reference/api/pandas.Series.str.isspace.html)
#### Documentation problem
> Check whether all characters in each string are alphanumeric.
>
> This is equivalent to running the Python string method str.isalnum() f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42016/events | https://github.com/pandas-dev/pandas/issues/42016 | 921,278,453 | MDU6SXNzdWU5MjEyNzg0NTM= | 42,016 | BUG: groupby with dropna=False and 'unique' aggregate creates duplicated index | {
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... | open | false | null | [] | null | 2 | 2021-06-15T11:06:26Z | 2021-08-21T02:32:13Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
df_list = [[1, 1, 1, 'A'],... | {
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- [ ] closes #42015
- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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