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https://api.github.com/repos/pandas-dev/pandas/issues/43422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43422/events | https://github.com/pandas-dev/pandas/issues/43422 | 988,588,520 | MDU6SXNzdWU5ODg1ODg1MjA= | 43,422 | BUG: Regression in 1.3.0: Exception when setting arrays as cell values | {
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- [x] I have confirmed this bug exists on the latest version of pandas (yes, on version 1.3.2).
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
The following works fine on 1.2.5 and now fails (starting with 1.3.0)... | {
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... | closed | false | null | [] | null | 7 | 2021-09-05T20:42:10Z | 2021-11-16T17:34:57Z | 2021-11-16T17:34:56Z | CONTRIBUTOR | null | As per https://github.com/pandas-dev/pandas/pull/43161#issuecomment-909765165
Goes towards #43161 and #41648
This is WIP since 41648 is not finished yet, but it is getting close.
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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
ser = pd.Series([1.0, 2.0]... | {
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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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@jbrockmendel Any idea why we used ``maybe_indices_to_slice`` instead of take like in loc?... | {
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`UnicodeEncodeError: 'utf-8' codec can't encode character '\ud83d' in position 84: surrogates not allowed`
(I believe that \ud83d is a... | {
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* correction to pass the doctest
- [x] closes #43359
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I use `pd.query` and `pd.eval` a lot. However, sometimes I find myself in situations where I would like to filter an unnamed DataFrame with `pd.query` and it would be very handy if there was a handle for the DataFrame available in the query expression.
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There was no valid reason for closing.
The "closer" just wrote about a workaround (not a solution) with `fillna()`.
Please let us reopen the discussion on the original Issue. | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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- [X] I have checked that the issue still exists on the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/dev/reference/api/pandas.ExcelWriter.html?highlight=excelwriter#pandas.ExcelWriter
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- [ ] whatsnew entry
The contributing page has comments on style, but does not link to setting up pre-commits yourself. It would be nice to be guided there | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
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This bug is split from #43366, but with more clear intent and added test. | {
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- [x] closes #43440
- [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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"followers_url": "https://api.github.com... | 8 | 2021-09-07T16:47:48Z | 2021-09-10T00:24:31Z | 2021-09-10T00:24:11Z | CONTRIBUTOR | null | - [ ] closes #43439
- [ ] 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
Probably should throw a warning, if we cannot wrap the handle with `io.TextIOWrapper`.
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https://api.github.com/repos/pandas-dev/pandas/issues/43448 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43448/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43448/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43448/events | https://github.com/pandas-dev/pandas/issues/43448 | 990,204,871 | MDU6SXNzdWU5OTAyMDQ4NzE= | 43,448 | BUG: `groupby` on categorical columns creates unexisting combinations | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [x] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
```pytho... | {
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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
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- [X] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas).
### Platform
Linux-4.15.0-144-generic-x86_64-with-glibc2.27
### Installation Method
pip install
### pandas Version
latest
### Python Version
3.8
### Installation Logs
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Yes, it would be much easier to set comprehension and return sets of things
```python
a = pd.Index([1,1,2,3,4])
b = pd.Index([2,3,5])
c = pd.Index([3,5,6])
a.intersection(b).intersection(c)
# Int64Index([3], dtype='int64')
```
#### Describe the sol... | {
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Look to use `is_*_dtype` instead of `isinstance` when implementing `_get_common_dtype` for EA's. | {
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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
For now have put whatsnew in 1.3.3, but might be better for 1.4 since regression is later ... | {
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- [X] closes #33234
- [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
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https://api.github.com/repos/pandas-dev/pandas/issues/43457 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43457/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43457/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43457/events | https://github.com/pandas-dev/pandas/issues/43457 | 990,796,568 | MDU6SXNzdWU5OTA3OTY1Njg= | 43,457 | ENH: `assert_frame_equal` to show column name for columns of dtype `datetime64[ns]` | {
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... | 1 | 2021-09-08T07:13:57Z | 2021-09-11T21:12:14Z | null | NONE | null | #### Is your feature request related to a problem?
I wish I could use [`pandas.testing.assert_frame_equal`](https://pandas.pydata.org/docs/reference/api/pandas.testing.assert_frame_equal.html) to determine which of my `datetime64[ns]` columns are not equal when comparing two dataframes. Currently the output is `Asse... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43458 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43458/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43458/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43458/events | https://github.com/pandas-dev/pandas/pull/43458 | 991,136,862 | MDExOlB1bGxSZXF1ZXN0NzI5NjQ1ODQ1 | 43,458 | DOC: 'if_sheet_exists' only on openpyxl in stead of 'append' | {
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- [ ] whatsnew entry
The `if_sheet_exists` parameter works also in write mode of openpyxl. e.g.:
```python
import pandas as pd
with pd.ExcelWriter("f.xlsx",e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43459/events | https://github.com/pandas-dev/pandas/pull/43459 | 991,180,156 | MDExOlB1bGxSZXF1ZXN0NzI5NjgyMDQy | 43,459 | TST: add test to read empty array | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/43460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43460/events | https://github.com/pandas-dev/pandas/issues/43460 | 991,194,976 | MDU6SXNzdWU5OTExOTQ5NzY= | 43,460 | ENH: Behaviour Series.isin with dataframe comparison is confusing [for discussion] | {
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"color": "207d... | open | false | null | [] | null | 2 | 2021-09-08T14:19:18Z | 2021-09-12T12:04:51Z | null | CONTRIBUTOR | null | Right now we can compare a Series with a DataFrame through `Series.isin`, but is this expected / wanted behaviour?
I would say this should raise, since expectations can be pretty ambiguous here and is confusing to me.
Also the [documentation](https://pandas.pydata.org/docs/reference/api/pandas.Series.isin.html) ri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43461/events | https://github.com/pandas-dev/pandas/issues/43461 | 991,343,594 | MDU6SXNzdWU5OTEzNDM1OTQ= | 43,461 | Avoid import warning when lzma is missing | {
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... | 2 | 2021-09-08T16:57:15Z | 2021-09-10T09:07:23Z | null | CONTRIBUTOR | null | Currently if Python is built without lzma, following https://github.com/pandas-dev/pandas/pull/27882 a warning is going to be shown to users at import time,
```
lib/python3.9/site-packages/pandas/compat/__init__.py:117: UserWarning: Could not import the lzma
module. Your installed Python is incomplete. Attempting t... | {
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Some jobs, though, dont have the option to re-run in isolation. Is there a way of getting a button in github that re-runs just failed tests. I imagine this would improve the performance by avoiding recalculating the majo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43463 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43463/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43463/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43463/events | https://github.com/pandas-dev/pandas/issues/43463 | 991,399,667 | MDU6SXNzdWU5OTEzOTk2Njc= | 43,463 | BUILD: cant use pandas without bottleneck | {
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... | closed | false | null | [] | null | 3 | 2021-09-08T18:10:11Z | 2021-10-09T16:13:38Z | 2021-10-09T16:13:38Z | NONE | null | ###
- [X] I have read the [installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#installing-pandas).
### Platform
mac 10.15.7
### Installation Method
pip install
### pandas Version
1.3.2
### Python Version
3.8
### Installation Logs
Hi,
im want... | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
```python
pd.option... | {
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- [x] tests added / passed
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/43466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43466/events | https://github.com/pandas-dev/pandas/pull/43466 | 991,500,273 | MDExOlB1bGxSZXF1ZXN0NzI5OTU0NzE0 | 43,466 | REF: de-duplicate result index construction in groupby | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/43467 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43467/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43467/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43467/events | https://github.com/pandas-dev/pandas/pull/43467 | 991,582,904 | MDExOlB1bGxSZXF1ZXN0NzMwMDI3MTM1 | 43,467 | Make group_mean compatible with NaT | {
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"followers_url": "https://api.github.com... | 26 | 2021-09-08T22:28:28Z | 2021-09-18T02:32:24Z | 2021-09-18T02:31:52Z | CONTRIBUTOR | null | Make group_mean compatible with NaT
## Background
NaT is the datetime equivalent of NaN and is set to be the lowest possible 64-bit integer -(2**63). Previously, we could not support this value in any groupby.mean() calculations which lead to #43132.
## Implementation
On a high level, we slightly modify the `gr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43469 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43469/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43469/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43469/events | https://github.com/pandas-dev/pandas/pull/43469 | 991,722,773 | MDExOlB1bGxSZXF1ZXN0NzMwMTQ2Nzk0 | 43,469 | PERF: groupby.quantile | {
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```
import pandas as pd
import numpy as np
np.random.seed(536445246)
arr = np.random.randn(10**5, 5)
df = pd.DataFrame(arr, columns=["A", "B", "C", "D", "E"])
gb = df.groupby(df.index % 7)
qs = np.arange(0, 1, 0.1)
%timeit res = gb.quantile(qs)
771 ms ± 34 ms per loop (mean ± std. dev. of... | {
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- [x] tests added / passed
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sorry, missed that this also applied to index. more generic fix here, | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43471 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43471/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43471/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43471/events | https://github.com/pandas-dev/pandas/issues/43471 | 991,863,653 | MDU6SXNzdWU5OTE4NjM2NTM= | 43,471 | ENH: expand multicol_align and multirow_align Styler.to_latex | {
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Simple pipe characters around multicol_alignment allow dividers to be drawn, e.g. `|r` or `|r|` or `r|` etc..
```
\begin{tabular}{lllrrrrrr}
\toprule
{} & {} & {} & \multicolumn{3}{|r|}{1} & \multicolumn{3}{|r|}{2} \\
{}... | {
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`df.rename(columns={col: add_prefix_or_suffix_func_prototype(col) for col in df.columns}, inplace=True)`
It would be a simple feature addition if the `add_prefix` and `add... | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
```python
import pa... | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
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intersphinx inventory 'https://www.statsmodels.org/devel/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='www.statsmodels.org', port=443): Max retries exceeded with url: /devel/objects.inv (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection o... | {
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change the level arg in Styler.set_sticky to accept level names, akin to Styler.hide_index, for consistency and expanded usage. | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
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cc @mroeschke im pretty sure this is slightly more correct than the status quo, but i ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43492 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43492/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43492/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43492/events | https://github.com/pandas-dev/pandas/pull/43492 | 992,883,728 | MDExOlB1bGxSZXF1ZXN0NzMxMTU2NTAx | 43,492 | BUG: fillna not replacing missing values when duplicate colnames | {
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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_codebase.html#pre-commit) for how to run them
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/43493 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43493/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43493/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43493/events | https://github.com/pandas-dev/pandas/issues/43493 | 992,930,910 | MDU6SXNzdWU5OTI5MzA5MTA= | 43,493 | QST: I am trying to run a machine learning code in Python. I get the following error: UnicodeDecodeError: 'ascii' codec can't decode byte 0xac in position 6: ordinal not in range(128) | {
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- [X] I have searched the [[pandas] tag](https://stackoverflow.com/questions/tagged/pandas) on StackOverflow for similar questions.
- [X] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
### Link to question on StackOverflow
I am trying to run a machine learning code in Py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43494 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43494/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43494/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43494/events | https://github.com/pandas-dev/pandas/issues/43494 | 992,999,947 | MDU6SXNzdWU5OTI5OTk5NDc= | 43,494 | BUG: DataFrame.corr assume 1s are always on the diagonal line | {
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
```pytho... | {
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- [x] closes #43461
- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them
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If you do `value_counts` on a categorical there's no way to suppress unobserved categories.
#### Describe the solution you'd like
Add an observed keyword to value_counts.
#### API breaking implications
None, unless we want to revisit the default in light... | {
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- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [X] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
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xref #40245
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- [x] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them
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I'm increasingly sure that we should use result_index instead of all of the various ne... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43510/events | https://github.com/pandas-dev/pandas/pull/43510 | 993,746,967 | MDExOlB1bGxSZXF1ZXN0NzMxODcxOTM3 | 43,510 | CLN/PERF: group quantile | {
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Didn't end up seeing a huge perf improvement though, for example results on a wide frame:
```
arr = np.random.randn(10 ** 5, 100)
df = pd.DataFrame(arr)
gb = df.groupby(df.index % 3)
gb.quantile(0.5)
#... | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/43514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43514/events | https://github.com/pandas-dev/pandas/pull/43514 | 993,887,203 | MDExOlB1bGxSZXF1ZXN0NzMxOTYyNjM2 | 43,514 | TYP: sparse.pyi | {
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cc @jbrockmendel, one annoying piece going on here is the abstract base class `SparseIndex` - it functions entirely like an interface, and so has nothing but abstract me... | {
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- [x] tests added / passed
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... | 2 | 2021-09-11T17:42:29Z | 2021-09-20T14:34:42Z | null | CONTRIBUTOR | null | ###
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.
- [ ] I have confirmed this bug exists on the master branch of pandas.
### Reproducible Example
```python
import ba... | {
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Follow-ups include the big perf bump discussed in #43478
```
import pandas as pd
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