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https://api.github.com/repos/pandas-dev/pandas/issues/41820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41820/events | https://github.com/pandas-dev/pandas/pull/41820 | 912,031,756 | MDExOlB1bGxSZXF1ZXN0NjYyMjM3NTQ2 | 41,820 | Move deprecation whatsnew to 1.3 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41821/events | https://github.com/pandas-dev/pandas/pull/41821 | 912,041,109 | MDExOlB1bGxSZXF1ZXN0NjYyMjQ1OTI2 | 41,821 | BUG: wrong exception when slicing on TimedeltaIndex | {
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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
- [x] whatsnew entry
inching towards sharing _maybe_cast_slice_bound between DTI/PI/TDI | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41822/events | https://github.com/pandas-dev/pandas/pull/41822 | 912,089,647 | MDExOlB1bGxSZXF1ZXN0NjYyMjg4MzM4 | 41,822 | DOC: Whatsnew1.3 grammar | {
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This contains the non-controversial edits (in my opinion) from #41747, but is almost all grammar edits. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41823/events | https://github.com/pandas-dev/pandas/issues/41823 | 912,106,294 | MDU6SXNzdWU5MTIxMDYyOTQ= | 41,823 | BUG: MultiIndex.unique incorrect when NA value is present | {
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"id": 71268330,... | closed | false | null | [] | null | 3 | 2021-06-05T05:13:47Z | 2021-06-18T06:54:35Z | 2021-06-18T04:39:27Z | MEMBER | null | drop_duplicates looks right, while unique (and _get_unique_index) keep a duplicate entry containing an NA value. Example based on test_intersection_with_missing_values_on_both_sides. The analogous problem crops up for every entry in nulls_fixture
```
nulls_fixture = np.nan
mi1 = pd.MultiIndex.from_arrays([[3, nu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41824/events | https://github.com/pandas-dev/pandas/pull/41824 | 912,109,064 | MDExOlB1bGxSZXF1ZXN0NjYyMzA0NjY4 | 41,824 | REF: de-duplicate Index._intersection + MultiIndex._intersection | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41825/events | https://github.com/pandas-dev/pandas/pull/41825 | 912,116,016 | MDExOlB1bGxSZXF1ZXN0NjYyMzEwNDI2 | 41,825 | REF: share wrapping in MultiIndex setops | {
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"de... | closed | false | null | [] | null | 3 | 2021-06-05T06:12:50Z | 2021-06-09T23:45:27Z | 2021-06-09T23:45:25Z | MEMBER | null | If we can push _wrap_mi_setop_result further down into wrap_setop_result (not at all trivial bc different setops have different desired behavior on empty results) then we can share most of the rest of the MultiIndex setops code.
This PR changes the levels in the result of an empty .difference:
```
mi = pd.MultiI... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41826/events | https://github.com/pandas-dev/pandas/issues/41826 | 912,311,880 | MDU6SXNzdWU5MTIzMTE4ODA= | 41,826 | ENH: Allow different senses of "distance" for method=nearest indexing | {
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`Index.get_loc` with the method keyword has been quite useful for me, but I often find myself using data (e.g. atmospheric pressure levels) where the truest sense of the word 'nearest' is actually the closest value in log(p), not the normal number line.
#### Des... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41827/events | https://github.com/pandas-dev/pandas/issues/41827 | 912,342,186 | MDU6SXNzdWU5MTIzNDIxODY= | 41,827 | BUG: DataFrame `isin` function randomly selects values (instead of using them all) when on Intel CPU and input is a torch Tensor | {
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- [x ] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
```python
from typing import Tuple
import numpy as np
from pandas import DataFrame
from torch.tensor import Tensor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41828/events | https://github.com/pandas-dev/pandas/issues/41828 | 912,347,856 | MDU6SXNzdWU5MTIzNDc4NTY= | 41,828 | ENH: retain attrs when concat dataframes | {
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... | 3 | 2021-06-05T16:59:07Z | 2021-06-06T11:28:24Z | null | NONE | null | #### Is your feature request related to a problem?
I wish the attrs could be retained when concat data frames.
```
d = {'col1': [1, 2], 'col2': [3, 4]}
df1 = pd.DataFrame(data=d)
df1.attrs = {1:1}
df2 = pd.DataFrame(data=d)
df2.attrs = {1:1}
pd.concat([df1, df2]).attrs
{}
```
#### Describe the solution... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41829/events | https://github.com/pandas-dev/pandas/issues/41829 | 912,363,631 | MDU6SXNzdWU5MTIzNjM2MzE= | 41,829 | CI: Re-enable Circle CI | {
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I updated this PR so we... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41830/events | https://github.com/pandas-dev/pandas/pull/41830 | 912,393,075 | MDExOlB1bGxSZXF1ZXN0NjYyNTU1OTMy | 41,830 | TYP: datetimelike | {
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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/41831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41831/events | https://github.com/pandas-dev/pandas/issues/41831 | 912,406,932 | MDU6SXNzdWU5MTI0MDY5MzI= | 41,831 | BUG: IntervalIndex([np.nan, np.nan]).is_monotonic returns True | {
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```
index = pd.IntervalIndex([np.nan, np.nan])
other = pd.IntervalIndex([np.nan])
In [4]: index.is_monotonic # should be False
Out[4]: True
In [5]: index._index_as_unique # should be False
Out[5]: True
In [6]: index.get_indexer_for(other)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41832/events | https://github.com/pandas-dev/pandas/pull/41832 | 912,416,299 | MDExOlB1bGxSZXF1ZXN0NjYyNTc2OTYy | 41,832 | REF: de-duplicate IntervalIndex setops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41833/events | https://github.com/pandas-dev/pandas/pull/41833 | 912,417,260 | MDExOlB1bGxSZXF1ZXN0NjYyNTc3ODA5 | 41,833 | REF: de-duplicate symmetric_difference, _union | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41834/events | https://github.com/pandas-dev/pandas/issues/41834 | 912,490,754 | MDU6SXNzdWU5MTI0OTA3NTQ= | 41,834 | BUG: Odd timezone offset change with old datetimes with tz_convert | {
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... | closed | false | null | [] | null | 5 | 2021-06-05T23:02:57Z | 2021-08-21T02:15:44Z | 2021-08-21T02:15:38Z | 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 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/41835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41835/events | https://github.com/pandas-dev/pandas/pull/41835 | 912,588,443 | MDExOlB1bGxSZXF1ZXN0NjYyNzM1NTcx | 41,835 | Backport PR #41806 on branch 1.2.x" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41836/events | https://github.com/pandas-dev/pandas/issues/41836 | 912,602,114 | MDU6SXNzdWU5MTI2MDIxMTQ= | 41,836 | _libs.hashtable.ismember incorrect with tuples containing nan | {
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```
from pandas.core.algorithms import isin
values = [("a", float("nan")), ("b", 1)]
comps = [("a", float("nan"))]
alt = ("a", values[0][1])
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https://api.github.com/repos/pandas-dev/pandas/issues/41837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41837/events | https://github.com/pandas-dev/pandas/issues/41837 | 912,620,024 | MDU6SXNzdWU5MTI2MjAwMjQ= | 41,837 | ENH: DataFrame.to_expr() method | {
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"description": "IO issue... | open | false | null | [] | null | 4 | 2021-06-06T04:48:43Z | 2021-07-21T14:16:55Z | null | NONE | null | #### Is your feature request related to a problem?
I would like to write some unit tests for my Pandas code. I want to test that some `DataFrame` is equal to an expected value. The expected value is complicated and I would like an easy way to get the Python code to construct it. My program already computes the expec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41838/events | https://github.com/pandas-dev/pandas/issues/41838 | 912,722,673 | MDU6SXNzdWU5MTI3MjI2NzM= | 41,838 | ENH: Using transparentpath in read_csv | {
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"description": "IO issue... | closed | false | null | [] | null | 2 | 2021-06-06T08:41:07Z | 2021-08-21T02:19:13Z | 2021-08-21T02:19:12Z | NONE | null | Hi Guys,
First of all, Thanks for your work! I wish I could use pandas with transparentpath in read_csv function.
In short, transparentpath can contain gscfs paths and local paths.
for more information see [this example](https://towardsdatascience.com/transparentpath-a-python-package-to-manage-paths-on-google-clo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41839/events | https://github.com/pandas-dev/pandas/issues/41839 | 912,883,108 | MDU6SXNzdWU5MTI4ODMxMDg= | 41,839 | DOC: Input/Output page contains only input functions | {
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https://pandas.pydata.org/pandas-docs/dev/reference/io.html#html
#### Documentation problem
The title is Input/Output but all linked methods are `read_xyz()`, and there is little if any reference to any `write_xyz()` or `to_xyzz methods.
#### Suggested fix for documentatio... | {
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https://github.com/pandas-dev/pandas/pull/39091/files/80819f65402e46caa29ff7192b34d43f91c1a0ee
After updated commit.
- remove noqa
- change line back to single quotes
- rename `df1` to `reversed_df`
- add reference to `FixedForwardWindowIndexer`
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```python
>>> pd.Timestamp('2021-05-20') + pd.tseries.offsets.MonthEnd
Timestamp('2021-05-31 00:00:00')
```
`MonthEnd` gets me the first second of the last day, while I was expecting the last second of the last day of month (`Timestamp('2021-05-31 23:59:59.99999999')`)... | {
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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
- [ ] whatsnew entry
Screenshot below for updated docs
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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
Apologies for ... | {
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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/41847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41847/events | https://github.com/pandas-dev/pandas/issues/41847 | 913,115,674 | MDU6SXNzdWU5MTMxMTU2NzQ= | 41,847 | BUG: Unable to create DateOffset from two dates | {
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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
I'm trying to replicate the behaviour... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41848/events | https://github.com/pandas-dev/pandas/issues/41848 | 913,146,594 | MDU6SXNzdWU5MTMxNDY1OTQ= | 41,848 | ENH: Specify how pandas infers dtype on objects | {
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#### Is your feature request related to a problem?
[this should provide a description of what the problem is, e.g. "I wish I could use pandas to do [...]"]
Context : I am creating a package to handle physical units (yes, another one), and I started working on the pandas interface implementation. I look... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41849/events | https://github.com/pandas-dev/pandas/pull/41849 | 913,221,202 | MDExOlB1bGxSZXF1ZXN0NjYzMjgzNjIy | 41,849 | ⬆️ UPGRADE: Autoupdate pre-commit config | {
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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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Benchmarks look unaffected:
<details>
```
before after ratio
[3f67dc33] [51f8f9c8]
<master> <masked_cummin_ref>
17.0±2ms 16.3±2ms 0.96 groupby.CumminMax.time_frame_... | {
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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
Built on #41853
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... | 4 | 2021-06-07T16:28:36Z | 2021-07-09T12:19:01Z | null | NONE | null | The code examples are from the previous page in the documentation. Need examples for using notnull please.
Thanks!
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.notnull.html | {
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---
Bringing the "deferred" storage mode lookup for `StringDtype` discussion (originally here: https://github.com/pandas-dev/pandas/pull/39908#discussion_r585573328) in the main thread, and trying to recap.
Curr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41857/events | https://github.com/pandas-dev/pandas/pull/41857 | 913,902,596 | MDExOlB1bGxSZXF1ZXN0NjYzODY4NjYz | 41,857 | PERF: nancorr_spearman | {
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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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Think a lot more can be squeezed out, so not closing the issue. Initial results:
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https://api.github.com/repos/pandas-dev/pandas/issues/41859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41859/events | https://github.com/pandas-dev/pandas/pull/41859 | 914,014,443 | MDExOlB1bGxSZXF1ZXN0NjYzOTY1Mjc3 | 41,859 | TST: add ASV check for groupby with uint64 col | {
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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
The performance regression reported in the original issue was fixed somewhere between 0.25.1 and 1.2.4. This PR j... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41860/events | https://github.com/pandas-dev/pandas/pull/41860 | 914,087,021 | MDExOlB1bGxSZXF1ZXN0NjY0MDMxMzE2 | 41,860 | TST/REF: split out group min/max tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41861/events | https://github.com/pandas-dev/pandas/pull/41861 | 914,110,352 | MDExOlB1bGxSZXF1ZXN0NjY0MDUzMjQx | 41,861 | PERF: is_bool_indexer | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41862/events | https://github.com/pandas-dev/pandas/pull/41862 | 914,178,186 | MDExOlB1bGxSZXF1ZXN0NjY0MTE0MzY1 | 41,862 | API: make construct_array_type non-optional | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41864/events | https://github.com/pandas-dev/pandas/pull/41864 | 914,237,758 | MDExOlB1bGxSZXF1ZXN0NjY0MTY5OTMz | 41,864 | Clean up ujson initialization | {
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More background info:
https://numpy.or... | {
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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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closes #37443
adds the longtable template, similar to DataFrame.to_latex.
also allows for a custom environment if \begin{table} should be replaced by \begin{figure} etc.
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- [x] closes #41434
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```
/home/$USER/anaconda3/envs/crime_data/lib/python3.6/site-packages/pandas/core/arrays/datetimes.py:1091: UserWa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41872/events | https://github.com/pandas-dev/pandas/issues/41872 | 915,061,454 | MDU6SXNzdWU5MTUwNjE0NTQ= | 41,872 | BUG: Pie chart with categorical values fails | {
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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.Series... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41873 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41873/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41873/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41873/events | https://github.com/pandas-dev/pandas/issues/41873 | 915,126,758 | MDU6SXNzdWU5MTUxMjY3NTg= | 41,873 | PERF: performance regression in indexing UInt64Index with an array-like | {
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Up to 180x slowdown in the `indexing.NumericSeriesIndexing.time_loc_array/time_loc_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41874 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41874/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41874/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41874/events | https://github.com/pandas-dev/pandas/pull/41874 | 915,228,216 | MDExOlB1bGxSZXF1ZXN0NjY1MDY4MTAz | 41,874 | CLN/PERF: no need for kahan for int group_cumsum | {
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Targeting the cython algo specifically shows an improvement (but smaller than I'd expect given the removed operations):
```
import numpy as np
import pandas._libs.groupby as libgroupby
N = 4_000_000
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https://api.github.com/repos/pandas-dev/pandas/issues/41875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41875/events | https://github.com/pandas-dev/pandas/pull/41875 | 915,259,536 | MDExOlB1bGxSZXF1ZXN0NjY1MDk0NjQx | 41,875 | BUG: unstack with object dtype of tzaware timestamps | {
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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/41876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41876/events | https://github.com/pandas-dev/pandas/issues/41876 | 915,266,146 | MDU6SXNzdWU5MTUyNjYxNDY= | 41,876 | BUG: seemingly unexpected behavior with errrors='ignore' in json_normalize() | {
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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/41877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41877/events | https://github.com/pandas-dev/pandas/issues/41877 | 915,315,673 | MDU6SXNzdWU5MTUzMTU2NzM= | 41,877 | QST: ExtensionDtype made available with arguments to `astype` method | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
Hello,
I have been attempting to create a new Exten... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41878/events | https://github.com/pandas-dev/pandas/pull/41878 | 915,371,227 | MDExOlB1bGxSZXF1ZXN0NjY1MTkxOTcz | 41,878 | Proof of concept for Copy-on-Write implementation | {
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{... | open | false | null | [] | null | 15 | 2021-06-08T19:09:17Z | 2021-11-16T12:04:59Z | null | MEMBER | null | An experiment to implement one of the proposals discussed in https://github.com/pandas-dev/pandas/issues/36195/, described in more detail in https://docs.google.com/document/d/1ZCQ9mx3LBMy-nhwRl33_jgcvWo9IWdEfxDNQ2thyTb0/edit
This PR adds Copy-on-Write (CoW) functionality to the DataFrame/Series when using ArrayMana... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41879/events | https://github.com/pandas-dev/pandas/pull/41879 | 915,425,761 | MDExOlB1bGxSZXF1ZXN0NjY1MjQxMzcw | 41,879 | REF: avoid mutating Series._values directly in setitem but defer to Manager method | {
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Apart from being a bit inconsistent (... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41880/events | https://github.com/pandas-dev/pandas/pull/41880 | 915,486,552 | MDExOlB1bGxSZXF1ZXN0NjY1Mjk1ODY4 | 41,880 | Replaced value assignment by location accessor. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41882/events | https://github.com/pandas-dev/pandas/issues/41882 | 915,547,112 | MDU6SXNzdWU5MTU1NDcxMTI= | 41,882 | BUG: Index.get_indexer_for with mixed tuples | {
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idx = pd.Index(["i", "i", "j"])
other = pd.Index([('i', 'i'), ('i', 'j'), ('j', 'i'), 'j'])
>>> idx.get_indexer_for(other)
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
mi = pd.MultiIndex.from_tuples(other[:-1])
mi.get_indexer(other) # works!
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The diff looks much more complicated than it is because of indentation changes - the change is basically allowing a fast path for computation without nans by pulling up a slightly modified computation of `sumx, sumxx, sumyy` before missing value handling.
Benchmarks:
```
before after ... | {
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```python
import numpy as np
import pandas as pd
file_path = "temp.csv"
df1 = pd.DataFrame({"x": [np.nan, 1]})
df1.to_csv(file_path, index=False)
df1_regex = pd.read_csv(file_path, sep=',|\t')
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https://api.github.com/repos/pandas-dev/pandas/issues/41889 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41889/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41889/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41889/events | https://github.com/pandas-dev/pandas/pull/41889 | 915,785,721 | MDExOlB1bGxSZXF1ZXN0NjY1NTU2MTkx | 41,889 | BENCH: Remove unnecessary random seeds | {
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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
We are implementing a common seed explained in https://asv.readthedocs.io/en/latest/writing_benchmarks.html.
Added a code check as... | {
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This PR introduces a new keyword, `drop_na`, to the `to_json()` function. It can be set to either `True` or `False`.
When `drop_na=False`, `to_json()` works just like it did before.
When `drop_na=True`, items with value `null` in the output of `to_json()` will be removed. Using this feature is (... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41891 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41891/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41891/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41891/events | https://github.com/pandas-dev/pandas/issues/41891 | 915,945,880 | MDU6SXNzdWU5MTU5NDU4ODA= | 41,891 | BUG: Setting column on empty DataFrame with loc / avoiding SettingWithCopyWarning for potentially empty DataFrames/copies/views | {
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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 pandas as pd
df = pd.... | {
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Currently Styler has the `apply` and `applymap` methods to **perform conditional styling on the data elements**.
Recent additions to `Styler.set_table_styles` allows styling of index and column headers if the key-labels are directly specified. But this solution cannot work with... | {
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- [X] tests added / passed
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Stop referring to pyarrow.serialize/deserialize, since those are deprecated (see https://arrow.apache.org/docs/python/ipc.html#arbitrary-object-serialization) | {
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Tests will be expaneded with composite options and edgecases as soon as definition of final scope is complete.
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] tests added / passed
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- [ ] whatsnew entry: let me know if needed
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When filling NAs, I need to use different methods for different columns or ignore some columns. Filling with different values per column works by passing a dict to `values` but it's not possible to do something similar for `method`-based filling, e.g. bfill `x` and ... | {
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Reverts pandas-dev/pandas#41452 | {
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