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https://api.github.com/repos/pandas-dev/pandas/issues/41720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41720/events | https://github.com/pandas-dev/pandas/issues/41720 | 906,508,669 | MDU6SXNzdWU5MDY1MDg2Njk= | 41,720 | BUG: not possible to 'cumsum' Timedelta with named aggregation | {
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... | open | false | null | [] | null | 1 | 2021-05-29T16:25:49Z | 2021-08-21T01:51:35Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
impor... | {
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... | closed | false | null | [] | null | 5 | 2021-05-29T16:53:04Z | 2021-08-05T18:46:57Z | 2021-07-12T18:34:45Z | NONE | null | ## Whats new
This PR introduces some changes that improve the development experience via VSCode's devcontainers. Specifically:
* It removes the cloning of the pandas repo inside the container (it assumes that the user already cloned it on the host) and instead leverages the fact the the code is mounted to `/workspac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41722/events | https://github.com/pandas-dev/pandas/pull/41722 | 906,523,923 | MDExOlB1bGxSZXF1ZXN0NjU3NTA3ODc2 | 41,722 | Fix DataFrame.agg produces different types if the DataFrame is empty | {
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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
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https://api.github.com/repos/pandas-dev/pandas/issues/41723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41723/events | https://github.com/pandas-dev/pandas/pull/41723 | 906,523,971 | MDExOlB1bGxSZXF1ZXN0NjU3NTA3OTEz | 41,723 | TST: Check map function works with StringDtype (#40823) | {
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- [ ] closes #40823
- [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
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https://api.github.com/repos/pandas-dev/pandas/issues/41724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41724/events | https://github.com/pandas-dev/pandas/issues/41724 | 906,528,921 | MDU6SXNzdWU5MDY1Mjg5MjE= | 41,724 | BUG: pd.array(floatdata, dtype=np.inty) should use astype_nansafe | {
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In [8]: arr = np.random.randn(2)
In [9]: arr[0] = np.nan
In [10]: pd.array(arr, dtype="i8")
Out[10]:
<PandasArray>
[-9223372036854775808, 1]
Length: 2, dtype: int64
```
Our other constructors all refuse to cast nan to a nonsense int | {
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] | closed | false | null | [] | null | 3 | 2021-05-29T19:27:27Z | 2021-08-21T01:54:47Z | 2021-08-21T01:54:47Z | MEMBER | null | Looks like we've got some connection errors in Conda that we haven't seen before, see:
```
conda env create -q --file=environment.yml
Collecting package metadata (repodata.json): ...working... failed
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
Fi... | {
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- [ ] tests added / passed
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... | 8 | 2021-05-30T03:02:28Z | 2021-07-05T03:14:37Z | null | CONTRIBUTOR | null | Follow up to #36893. Per @xhochy's suggestion we should use `entrypoints` as a mechanism for loading alternate SQL engine backends, similar to what we do with plotting backends. Creating a new issue for it per the comment [here](https://github.com/pandas-dev/pandas/pull/40556#discussion_r625243915). | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/41733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41733/events | https://github.com/pandas-dev/pandas/pull/41733 | 906,795,746 | MDExOlB1bGxSZXF1ZXN0NjU3NzMzNTI5 | 41,733 | DEPR: ignoring dtype in DataFrame constructor failures | {
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xref #40114 which tried to change the behavior without a deprecation cycle.
Handling Dat... | {
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And in any case, the link in... | {
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Feels like https://github.com/pandas-docs/pandas-docs-travis was created to publish the development pandas docs, but that was eventually moved elsewhere, and now there is just a two year old copy published there (in their github pages).
I think we should delete the `pandas-docs` organization, to avoid... | {
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This used to run in Travis, but seems like Travis now requires credits, and we can't get them reliably (see #38943).
[This page](https://developer.arm.com/solutions/infrastructure/developer-resources/ci-cd) contains CI systems that support ARM. Most of them require to set up our own runner, which I gu... | {
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Whenever we can assume that Travis is not an option for ARM builds (or any other builds due to the lack of free credits), this is the PR that removes all travis specific stuff. | {
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This seems to be working, see:
https://app.circleci.com/pipelines/github/datapythonista/pandas/11/workflows/2ca0487f-5a63-4f01-936c-e83827db714f/jobs/11
But tests are failing. I opened #41740 the the failures. | {
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"d... | open | false | null | [] | null | 2 | 2021-05-31T01:27:18Z | 2021-06-01T09:07:33Z | null | MEMBER | null | Working on adding ARM back to the CI in #41739 I found that pandas tests are curently failing for this architecture:
```
=================================== FAILURES ===================================
_________________ TestFloatSubtype.test_subtype_integer_errors _________________
[gw0] linux -- Python 3.7.10 /... | {
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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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Also some internal method cleanups | {
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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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- [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
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- [ ] tests added / passed
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Minor fixups. After I get feedback here, I plan to make a PR with detailed instructions about adding to the whatsnew.
cc @attack68 - the Styler sections had a... | {
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> This is sentence one (GH28527)
which on its own is perfectly fine. However when a line has multiple sentences:
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```diff
- s = "\n".join([_build_option_description(k) for k in keys])
+ s = "\n".join(_build_option_description(k) for k in keys)
```
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"descript... | closed | true | null | [] | null | 7 | 2021-06-01T09:18:51Z | 2021-06-03T07:38:54Z | 2021-06-02T22:17:51Z | NONE | too heated | I post this as a "Question" because I am quite new to `pandas`. So maybe I miss some understandings and the "problem" described by me is by design and you have good reasons for that.
I use pandas 1.2.4, with Python 3.9.4 on Windows 10 64 bit.
As a user I would expect that pandas check the number of fields per row w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41755 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41755/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41755/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41755/events | https://github.com/pandas-dev/pandas/issues/41755 | 908,138,038 | MDU6SXNzdWU5MDgxMzgwMzg= | 41,755 | BUG: `warn=True` parameter in `pd.infer_freq()` does not prevent raising a `ValueError` as expected | {
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"id": ... | open | false | null | [] | null | 0 | 2021-06-01T10:17:35Z | 2021-08-21T01:57:43Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [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
# D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41756 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41756/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41756/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41756/events | https://github.com/pandas-dev/pandas/issues/41756 | 908,140,452 | MDU6SXNzdWU5MDgxNDA0NTI= | 41,756 | BUG: inconsistent types when applying numpy operations | {
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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
```python
>>> import pandas as pd
>>> import numpy as np
>>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41757 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41757/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41757/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41757/events | https://github.com/pandas-dev/pandas/issues/41757 | 908,151,945 | MDU6SXNzdWU5MDgxNTE5NDU= | 41,757 | BUG: `to_dict(orient="dict")` not returning list of values when the index is non-unique | {
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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/41759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41759/events | https://github.com/pandas-dev/pandas/issues/41759 | 908,215,312 | MDU6SXNzdWU5MDgyMTUzMTI= | 41,759 | ENH: allow groupby (and drop_duplicates) on columns containing unhashable types | {
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well sort of, currently one can not groupby on a column containing unhashable types (e.g dicts)
#### Describe the solution you'd like
an easy workaround is to groupby on that column as type str and then remap the strings back to their orig type,
wondering if ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41760/events | https://github.com/pandas-dev/pandas/issues/41760 | 908,224,296 | MDU6SXNzdWU5MDgyMjQyOTY= | 41,760 | BUG: XS for multiple keys in combination with drop_level=False | {
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"followers_url": "https://api.github.com... | 3 | 2021-06-01T12:08:36Z | 2021-06-04T00:20:05Z | 2021-06-04T00:20:05Z | NONE | null | I believe a bug was introduced in the update of `xs` in pandas 1.2.0. The problem occurs when requesting multiple keys in combination with `drop_level=False`. I use the following code to highlight the problem I face:
```python
import pandas as pd
d = [[4, 4, 2, 2, 8], [0, 0, 2, 2, 0]]
tuples = [('mammal', 'c... | {
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#### Code Sample
```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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"followers_url": "https://api.github.com/users/j... | 5 | 2021-06-02T00:07:30Z | 2021-06-02T22:01:17Z | 2021-06-02T21:40:04Z | CONTRIBUTOR | null | This is the `Index.union` part of #41153. This helps simplify that PR.
The special casing in `Index.union` is currently active if both are numeric. After #41153 it should only be special cased if one dtype is uint64 and other a signed int. So after this and #41153:
* int8 & uint32 -> int64
* [u]int64 & float64 -> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41775/events | https://github.com/pandas-dev/pandas/issues/41775 | 909,063,427 | MDU6SXNzdWU5MDkwNjM0Mjc= | 41,775 | BUG: ser.loc[-1] and ser.loc[[-1]] with UInt64Index | {
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umax = np.iinfo(np.uint64).max
ser = pd.Series([0, 1], index=[umax-1, umax])
>>> ser.loc[-1] # <- should raise KeyError
OverflowError: can't convert negative value to npy_uint64
>>> ser.loc[[-1]] # <- should raise KeyError
18446744073709551615 1
dtype: int64
``` | {
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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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`import pandas as pd`
`import os`
`# Creating a corrupted file`
`with open('a.xlsx', 'w') as f:`
` pass`
`# Reading using pd.ExcelFile`
`data = pd.ExcelFile('a.xlsx', engine='openpyxl')`
`# Deleting the file`
`os.remove('a.xlsx')`
Here, I create a .xlsx f... | {
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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
impor... | {
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- [x] I have confirmed this bug exists on the latest
---
###Problem
I am unable to import pandas into python. Whenever I try to import, it gives me a traceback
```python
Traceback (most recent call last):
File "<stdin>", line 1, in <mo... | {
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xref #41771
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But I want to discuss some ideas and thinks like that. I am not sure if am allowed to that in this "Question" section in the Issues?
btw: GitHub now offers a discussion forum, too. | {
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- [X] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
What is the current state of amd64 compilation? Docker pip installation takes ages ... | {
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cc @simonjayhawkins Should we include in 1.2.5 or push to 1.3? | {
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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/41798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41798/events | https://github.com/pandas-dev/pandas/issues/41798 | 910,456,366 | MDU6SXNzdWU5MTA0NTYzNjY= | 41,798 | ImportError: cannot import name 'Series' from 'pandas' (unknown location) | {
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] | closed | false | null | [] | null | 2 | 2021-06-03T12:44:11Z | 2021-06-03T13:39:06Z | 2021-06-03T13:39:06Z | NONE | null | >>> from pandas import Series, DataFrame
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: cannot import name 'Series' from 'pandas' (unknown location) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41799/events | https://github.com/pandas-dev/pandas/issues/41799 | 910,506,004 | MDU6SXNzdWU5MTA1MDYwMDQ= | 41,799 | ISSUE: ImportError: cannot import name 'Series' from 'pandas' (unknown location) | {
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] | closed | false | null | [] | null | 9 | 2021-06-03T13:40:13Z | 2021-06-03T16:19:55Z | 2021-06-03T16:05:30Z | NONE | null | from pandas import Series, DataFrame
Traceback (most recent call last):
File "", line 1, in
ImportError: cannot import name 'Series' from 'pandas' (unknown location) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41800/events | https://github.com/pandas-dev/pandas/issues/41800 | 910,605,255 | MDU6SXNzdWU5MTA2MDUyNTU= | 41,800 | BUG: combine_first fails when one series is timezone-aware and the other is emtpy. | {
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... | open | false | null | [] | null | 0 | 2021-06-03T15:27:56Z | 2021-08-21T02:06:01Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] \(optional) I have confirmed this bug exists on the master branch of pandas.
#### Code Sample, a copy-pastable example
```python
import pandas as pd
import numpy as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41801/events | https://github.com/pandas-dev/pandas/pull/41801 | 910,616,730 | MDExOlB1bGxSZXF1ZXN0NjYxMDEyMDA2 | 41,801 | Fix typo in comment | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41802/events | https://github.com/pandas-dev/pandas/issues/41802 | 910,731,813 | MDU6SXNzdWU5MTA3MzE4MTM= | 41,802 | QST:Can i able to merge cells column wise using pandas to excel | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
I need to export some data to exccel sheets throush a loop
For each sheet I need to merge... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41803/events | https://github.com/pandas-dev/pandas/pull/41803 | 910,768,540 | MDExOlB1bGxSZXF1ZXN0NjYxMTQyMDEw | 41,803 | REF: do remove DTI._convert_arr_indexer | {
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This moves the relevant casting for the DTI/TDI/PI case directly into get_indexer, mirroring how get_loc works... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41804 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41804/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41804/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41804/events | https://github.com/pandas-dev/pandas/pull/41804 | 910,770,701 | MDExOlB1bGxSZXF1ZXN0NjYxMTQzODA3 | 41,804 | REF: remove Index._convert_list_indexer | {
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<s>This doesn't yet address the special-cased exception messages we issue for IntervalIndex/CategoricalIndex.</s>
update: this half-addresses the special-cased exception messages | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41805 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41805/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41805/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41805/events | https://github.com/pandas-dev/pandas/issues/41805 | 910,796,251 | MDU6SXNzdWU5MTA3OTYyNTE= | 41,805 | BUG: Construction of Series with NAs and interval-of-datetime dtype raises error | {
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... | open | false | null | [] | null | 2 | 2021-06-03T19:37:07Z | 2021-08-21T02:06:34Z | 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 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
pri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41806 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41806/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41806/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41806/events | https://github.com/pandas-dev/pandas/pull/41806 | 910,803,284 | MDExOlB1bGxSZXF1ZXN0NjYxMTcxMjA4 | 41,806 | REGR: close corrupt files in ExcelFile | {
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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
@simonjayhawkins maybe for 1.2.5? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41807 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41807/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41807/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41807/events | https://github.com/pandas-dev/pandas/issues/41807 | 910,890,401 | MDU6SXNzdWU5MTA4OTA0MDE= | 41,807 | TYP: Numpy compatibility of definition of "array like" | {
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"color": "e... | open | false | null | [] | null | 12 | 2021-06-03T21:52:58Z | 2021-08-21T02:06:49Z | null | CONTRIBUTOR | null | In `pandas/_typing.py`, we define `ArrayLike` as:
```python
ArrayLike = Union["ExtensionArray", np.ndarray]
```
In the numpy glossary https://numpy.org/doc/stable/glossary.html?highlight=array_like, numpy defines `array_like` as:
> Any scalar or sequence that can be interpreted as an ndarray. In addition to nd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41811/events | https://github.com/pandas-dev/pandas/pull/41811 | 911,002,394 | MDExOlB1bGxSZXF1ZXN0NjYxMzM5MDAy | 41,811 | REF: simplify try_cast | {
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Removes the last usage of construct_1d_ndarray_preserving_na, so removes that altogether | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41812/events | https://github.com/pandas-dev/pandas/pull/41812 | 911,090,955 | MDExOlB1bGxSZXF1ZXN0NjYxNDE5MjQw | 41,812 | ENH/BUG: DataFrame(object_array_of_periods_or_intervals) | {
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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
Get the special-casing out of sanitize_array up the chain into maybe_infer_to_datetimelike.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41813/events | https://github.com/pandas-dev/pandas/issues/41813 | 911,358,485 | MDU6SXNzdWU5MTEzNTg0ODU= | 41,813 | Axis behaviour not consistent for df.interpolate for pad with `limit_area` passed. | {
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For example
```
df = pd.DataFrame(np.array([
[1, 2, 3],
[5, np.nan, np.nan],
[3, np.nan, 4],
]))
print(df.interpolate(method='pad', axis='index'))
print(df.interpolate(method='pad', axis='index'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41814/events | https://github.com/pandas-dev/pandas/pull/41814 | 911,677,296 | MDExOlB1bGxSZXF1ZXN0NjYxOTE4NDk3 | 41,814 | REF: stronger typing in IntervalTree | {
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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
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https://api.github.com/repos/pandas-dev/pandas/issues/41815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41815/events | https://github.com/pandas-dev/pandas/issues/41815 | 911,678,275 | MDU6SXNzdWU5MTE2NzgyNzU= | 41,815 | DEPS: clarifying setuptools's status as a dependency | {
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If `setuptools` is not a runtime dependency, vendor... | {
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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.
---
#### Code Sample, a copy-pastable example
```python
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/... | {
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