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https://api.github.com/repos/pandas-dev/pandas/issues/42320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42320/events | https://github.com/pandas-dev/pandas/issues/42320 | 933,375,191 | MDU6SXNzdWU5MzMzNzUxOTE= | 42,320 | BUG: `Styler.to_latex` permanently impacts `table_styles` for successive calls | {
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```styler = DataFrame([[1]]).style```
doing
```styler.to_latex(hrules=True)``` (or any other kw argument which impacts `table_styles`)
results in:
```
\begin{tabular}{lr}
\toprule
{} & {0} \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
```
Now doing
```styler.to_latex(hrules=False)```
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does not close perf issue as will still exist on master | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42323/events | https://github.com/pandas-dev/pandas/pull/42323 | 933,404,692 | MDExOlB1bGxSZXF1ZXN0NjgwNjE1NjI0 | 42,323 | BUG: `Styler.to_latex` now doesn't manipulate the `Styler` object. | {
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- [x] tests added / passed
- [x] whatsnew entry not needed if included in 1.3.0 (although will be needed for 1.3.1)
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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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Added a light mode version of the favicon based upon the .svgs in the static folder as wel... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42328/events | https://github.com/pandas-dev/pandas/pull/42328 | 933,913,481 | MDExOlB1bGxSZXF1ZXN0NjgxMDQ2ODg1 | 42,328 | add Juneteenth to USFederalHolidayCalendar | {
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"i... | closed | false | null | [] | null | 5 | 2021-06-30T16:59:01Z | 2021-08-08T21:20:33Z | 2021-08-08T21:20:32Z | NONE | null | * Add **Juneteenth National Independence Day**
* Standardize the [official federal holiday names](https://www.opm.gov/policy-data-oversight/pay-leave/federal-holidays/#url=2021) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42329/events | https://github.com/pandas-dev/pandas/pull/42329 | 934,119,838 | MDExOlB1bGxSZXF1ZXN0NjgxMjI4NjQ3 | 42,329 | BUG: .loc with MultiIndex with tuple in level GH#27591 | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/42330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42330/events | https://github.com/pandas-dev/pandas/pull/42330 | 934,688,511 | MDExOlB1bGxSZXF1ZXN0NjgxNzIxODMw | 42,330 | BENCH: update imports to allow testing against 1.2.5 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42331/events | https://github.com/pandas-dev/pandas/issues/42331 | 934,688,784 | MDU6SXNzdWU5MzQ2ODg3ODQ= | 42,331 | BUG: Unsorted and Monotonic Indexes respond differently on non-existant key(s) slicing | {
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```
>>> ls = ["a", "b", "c"]
>>> ls[1]
"b"
>>> ls[5]
IndexError("list index out of range")
```
Slicing behaves differently and returns empty list with bad indexes:
```
>>> ls[2:5]
["c"]
>>> ls[4:5]
[]
```
For a **monotonic** `Index` pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42332/events | https://github.com/pandas-dev/pandas/issues/42332 | 934,704,528 | MDU6SXNzdWU5MzQ3MDQ1Mjg= | 42,332 | BUG: groupby().agg() loses column names for an empty dataframe with 'idxmax' as an aggregation function | {
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42333/events | https://github.com/pandas-dev/pandas/issues/42333 | 934,893,495 | MDU6SXNzdWU5MzQ4OTM0OTU= | 42,333 | REGR: rolling.EWMMethods.time_ewm | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42334/events | https://github.com/pandas-dev/pandas/pull/42334 | 934,988,199 | MDExOlB1bGxSZXF1ZXN0NjgxOTgwMjc3 | 42,334 | PERF/REGR: restore IntervalIndex._intersection_non_unique | {
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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
Reverts the rest of #41929 | {
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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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`False` was deprecated as an input so the example should be updated. | {
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https://github.com/pandas-dev/pandas/milestone/87
Currently scheduled for July 25, 2021 (date flexible on severity of regressions)
List of open regressions: https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+label%3ARegression
significant performance reg... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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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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- [x] I have confirmed this bug exists on the latest version of pandas.
#### Problem description
The list of assets published on Pypi for pandas 1.3.0 does not contain assets for Python 3.8 and Python 3.9. See the list [here](https://pypi.or... | {
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1) If an index's level names are `[1, 0]`, then `level=0` may refer to either level depending on whether it is a position or a label #21677.
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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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Could you please advice on what might be the cause of this issue?
### Test dataframe
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In [2]: dti = pd.date_range('2016-01-01', periods=10**5, freq="s")
In [3]: dti2 = dti.delete(50000)
In [4]: %timeit dti.union(dti2)
1.77 ms ± 7.97 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) # <- master
1.55 ms ± 9.29 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) # <- PR
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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/42355 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42355/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42355/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42355/events | https://github.com/pandas-dev/pandas/issues/42355 | 936,199,943 | MDU6SXNzdWU5MzYxOTk5NDM= | 42,355 | BUG: build failure on PyPy in hash functions | {
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```
In file included from pandas/_libs/algos.c:663:
pandas/_libs/src/klib/khash_python.h: In function 'complexobject_hash':
pandas/_libs/src/klib/khash_python.h:282:38: error: '_PyHASH_IMAG' undeclared (first use in this function)
282 | Py_uh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42356 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42356/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42356/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42356/events | https://github.com/pandas-dev/pandas/issues/42356 | 936,258,086 | MDU6SXNzdWU5MzYyNTgwODY= | 42,356 | BUG: AttributeError: 'DataFrame' object has no attribute '_is_builtin_func' | {
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42357 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42357/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42357/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42357/events | https://github.com/pandas-dev/pandas/issues/42357 | 936,273,884 | MDU6SXNzdWU5MzYyNzM4ODQ= | 42,357 | PERF: concat of pyarrow string array does not rechunk | {
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"followers_url": "https://api.github.com/users/simonjayhaw... | 3 | 2021-07-03T15:15:04Z | 2021-10-16T18:27:35Z | null | CONTRIBUTOR | null | ```
In [2]: import pandas as pd
In [3]: pd.__version__
Out[3]: '1.4.0.dev0+143.g5675cd8ab2'
In [4]: s = pd.concat([pd.Series(list('abc'))] * 100_000)
In [5]: %timeit s.str.upper()
48.6 ms ± 420 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
In [6]: s1 = pd.concat([pd.Series(list('abc'), dtype='s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42358 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42358/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42358/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42358/events | https://github.com/pandas-dev/pandas/pull/42358 | 936,298,678 | MDExOlB1bGxSZXF1ZXN0NjgzMDU2MzY1 | 42,358 | ERR: better error message with invalid argument in sort_values | {
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] | closed | false | null | [] | null | 2 | 2021-07-03T17:46:05Z | 2021-07-07T17:33:08Z | 2021-07-07T17:33:07Z | NONE | null | - [ ] closes #xxxx
- [ ] 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
added a if branch to check the ascending type, as the existing one accepts value with string ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42359 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42359/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42359/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42359/events | https://github.com/pandas-dev/pandas/issues/42359 | 936,301,293 | MDU6SXNzdWU5MzYzMDEyOTM= | 42,359 | STYLE disallow Series | AnyArrayLike | {
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] | open | false | null | [] | null | 0 | 2021-07-03T18:02:31Z | 2021-07-03T18:02:31Z | null | MEMBER | null | PR should be made to https://github.com/pandas-dev/pandas-dev-flaker
idea is to disallow `foo: Series | AnyArrayLike`, as `Series` is array-like already
This came out of this review: https://github.com/pandas-dev/pandas/pull/41955#discussion_r663390463 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42360 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42360/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42360/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42360/events | https://github.com/pandas-dev/pandas/pull/42360 | 936,312,037 | MDExOlB1bGxSZXF1ZXN0NjgzMDY2NTI1 | 42,360 | BUG: fixes PyPy build (do not use _PyHASH_Imag) | {
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"followers_url": "https://api.github.co... | 5 | 2021-07-03T19:11:00Z | 2021-07-05T06:34:40Z | 2021-07-04T21:32:44Z | CONTRIBUTOR | null | - [x] closes #42355
- [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] what's new entry
`_PyHASH_Imag` is not defined in PyPy, thus we define and use our own `_PandasHASH_Imag`.
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https://api.github.com/repos/pandas-dev/pandas/issues/42361 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42361/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42361/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42361/events | https://github.com/pandas-dev/pandas/pull/42361 | 936,322,345 | MDExOlB1bGxSZXF1ZXN0NjgzMDc0Mjk5 | 42,361 | CLN: make some private Index methods keyword-only | {
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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
# Returns an empty Series/... | {
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- [x] closes #42365
- [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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It would be great to enable pyright on the CI. It takes only ~90sec to run pyright on the entire codebase with the following configuration in pyproject.toml (ignores most type er... | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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There are 17 failures in Python 3.9 Windows build relate to `pyarrow`
`pyarrow.lib.ArrowNotImplementedError: Support for codec 'snappy' not built` | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html
#### Documentation problem
Two of the * symbols used for the multiplication and power operators emphasize the comma in between them instead of being displayed: (+, -, /, , *) instead of (+, -, /, *,... | {
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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#### Code Sample, a copy-pastable example
```python
import pandas as pd
impor... | {
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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
Apparently its recommended to install pyarrow from conda forge instead of the default cond... | {
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1) instead of catching and re-issuing TypeError in NDFrame.xs, just issue it with the correct exception message in the first place
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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```
=================================== FAILURES ===================================
__________ TestTimedeltaMultiplicationDivision.test_td_div_nan[nan1] ___________
[gw0] linux -- Python 3.9.5 /usr/share/miniconda/envs/pandas-dev/bin/python
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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>
<summary><em>add path</em></summary>
```Shell
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When you count the number of unique values in a `groupby` aggregation, you'll get a `float` output when the values are `float` themselves.
```python
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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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- [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.
---
Hi everyone, I'm running into this issue since pandas 1.3.0:
#### Code Sample, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42388 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42388/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42388/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42388/events | https://github.com/pandas-dev/pandas/issues/42388 | 937,088,807 | MDU6SXNzdWU5MzcwODg4MDc= | 42,388 | BUG: Regression in version 1.3.0: outer/right merge converts Int64 column to object if side-specific values are present | {
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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.
---
When merging data frames on an **Int64** column, the resulting dtype differs bet... | {
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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.
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#### Code Sample, a copy-pastable example
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import pandas as pd
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This fixes a regression introduced in c355ed1 where cache is not
initialized with correct state of islider and vslider.
On Timestamp index this trigger a "ValueError Length of values does not match length of index" | {
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- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
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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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---
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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In 1.3.0, calling `Series.isin()` will fail if
* the `Series` `dtype` is an extension dtype (`pd.Float64Dtype()`, `pd.Int64Dtype()`, ...)
* the `Series` contains any 'missing' values (`numpy.nan`, `pd.na`)
The following code snippet tests a few `dtypes`, determining if... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42406 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42406/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42406/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42406/events | https://github.com/pandas-dev/pandas/issues/42406 | 938,017,874 | MDU6SXNzdWU5MzgwMTc4NzQ= | 42,406 | DOC: update groupby methods `See Also` section | {
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"id": 233160... | open | false | null | [] | null | 2 | 2021-07-06T15:28:45Z | 2021-07-11T07:23:50Z | null | MEMBER | null | Right now the default `See Also` section for a groupby method will include `Series.groupby` and `DataFrame.groupby`, both of which do not link to anything (and are not particularly informative on their own without a link). See for example https://pandas.pydata.org/docs/reference/api/pandas.core.groupby.GroupBy.all.html... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42407 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42407/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42407/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42407/events | https://github.com/pandas-dev/pandas/pull/42407 | 938,027,651 | MDExOlB1bGxSZXF1ZXN0Njg0NDg1NjMx | 42,407 | CLN: random state updates after dropping numpy 1.17 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42408/events | https://github.com/pandas-dev/pandas/issues/42408 | 938,030,231 | MDU6SXNzdWU5MzgwMzAyMzE= | 42,408 | BUG: to_sql() method inserts NULL for NaN which bypasses DEFAULT behaviour of database | {
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```
my_database_field varchar(255) NOT NULL
DEFAULT 'NVT'
```
However, when I try to insert data into this table using DataFrame.to_sql() I get the following error:
```
Cannot insert the value NULL into column 'my_database_field'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42409 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42409/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42409/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42409/events | https://github.com/pandas-dev/pandas/issues/42409 | 938,035,081 | MDU6SXNzdWU5MzgwMzUwODE= | 42,409 | DOC: Spelling mistake in code example of Styler.to_latex documentation | {
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"https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.to_latex.html"
#### Documentation problem
Last example under "CSS Conversion" which uses the `convert_css` parameter writes `css_convert` instead.
#### Suggested fix for documentation
Simply repl... | {
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We still use `pkg_resources` in mpl tests. But it doesn't affect end users. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42411/events | https://github.com/pandas-dev/pandas/pull/42411 | 938,040,195 | MDExOlB1bGxSZXF1ZXN0Njg0NDk1OTk5 | 42,411 | CI: Don't test on 1.2.x | {
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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/42413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42413/events | https://github.com/pandas-dev/pandas/pull/42413 | 938,085,458 | MDExOlB1bGxSZXF1ZXN0Njg0NTMzNjIz | 42,413 | CI: runtime warning in npdev build | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/42414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42414/events | https://github.com/pandas-dev/pandas/issues/42414 | 938,115,834 | MDU6SXNzdWU5MzgxMTU4MzQ= | 42,414 | ENH: Do same operations to a list of pandas objects, Series or DataFrames. | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2021-07-06T17:34:31Z | 2021-07-06T18:27:22Z | 2021-07-06T18:27:12Z | NONE | null | #### Is your feature request related to a problem?
The idea is basically do same operations to a list of pandas objects, Series or DataFrames.
#### Describe the solution you'd like
There a a lot of time I do following operations
```python
df1.sum().plot()
df2.sum().plot()
df3.sum().plot()
```
I wish in p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42416/events | https://github.com/pandas-dev/pandas/pull/42416 | 938,203,269 | MDExOlB1bGxSZXF1ZXN0Njg0NjMxMDgx | 42,416 | Backport PR #42394 on branch 1.3.x (REGR: unpickling in 1.3.0 DataFrame created in 1.2.x #42345) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42417/events | https://github.com/pandas-dev/pandas/pull/42417 | 938,205,513 | MDExOlB1bGxSZXF1ZXN0Njg0NjMyOTc5 | 42,417 | DOC: GH42409 Fix mistake in code example of Styler.to_latex documentation | {
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- [x] closes #42409
- [ ] 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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