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https://api.github.com/repos/pandas-dev/pandas/issues/40919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40919/events | https://github.com/pandas-dev/pandas/issues/40919 | 856,781,151 | MDU6SXNzdWU4NTY3ODExNTE= | 40,919 | QST: I have tried lots of different suggestions but still cannot import pandas / numpy into pycharm | {
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I have installed both using PIP as seen in photo
but always get this in pycharm
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https://api.github.com/repos/pandas-dev/pandas/issues/40920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40920/events | https://github.com/pandas-dev/pandas/issues/40920 | 856,788,045 | MDU6SXNzdWU4NTY3ODgwNDU= | 40,920 | QST: Can read_sql ignore the condition if parameter is None? | {
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```
params = {
'field1': 1,
'field2': 'XYZ',
'field3: 100
}
sql = """
select *
from table
where 1 = 1
and table.field1 = %(field1)s
and table.field2 = %(field2)s
and table.field3 = %(field3)s
"""
```
Everything works as it should if I am readi... | {
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```python
import pandas as pd
from scipy import sparse as sc
import numpy as np
np.random.seed(42)
a = np.random.randint(0, 10, size=(200, 5))
a_sp = sc.coo_matrix(a)
a_sp_pd = pd.DataFrame.sparse.from_spmatrix(a_sp)
a_sp_pd.max()
```
Expected output:
```
0 9
1 9
2 9
3 9
4 9
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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
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/40928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40928/events | https://github.com/pandas-dev/pandas/pull/40928 | 857,082,805 | MDExOlB1bGxSZXF1ZXN0NjE0NTYyMzA0 | 40,928 | CLN: preliminary refactor before `Styler.highlight_quantile` | {
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```
def highlight_between:
def f:
return x
return self.apply(f)
```
So that `Styler.highlight_quantile` can reuse code this PR refactors the above to:
```
def highlight_between:
return self.apply(_new_name)
def _new_name:
return x
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40930/events | https://github.com/pandas-dev/pandas/pull/40930 | 857,145,471 | MDExOlB1bGxSZXF1ZXN0NjE0NjE0Nzk0 | 40,930 | TYP: fix mypy on master | {
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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/40931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40931/events | https://github.com/pandas-dev/pandas/issues/40931 | 857,281,890 | MDU6SXNzdWU4NTcyODE4OTA= | 40,931 | BUG: | {
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... | open | false | null | [] | null | 24 | 2021-04-13T20:15:07Z | 2021-10-17T13:43:55Z | null | MEMBER | null | Motivation for this proposal: for full dtype support with nullable dtypes, we also need a nullable version of the datetime-like dtypes. For backwards compatibility, we need a new dtype (like we did for the other nullable dtypes), and that's what the proposal below is describing. And when creating a new dtype, I think i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40933/events | https://github.com/pandas-dev/pandas/issues/40933 | 857,345,927 | MDU6SXNzdWU4NTczNDU5Mjc= | 40,933 | BUG: Inconsistency for iloc between np.array and pd.array | {
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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.
---
**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/40934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40934/events | https://github.com/pandas-dev/pandas/pull/40934 | 857,370,421 | MDExOlB1bGxSZXF1ZXN0NjE0ODAyNzg2 | 40,934 | CLN: remove unused out kwd from take functions | {
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Let's not merge for a few days to make sure that any surprising effects from #40852 show up in the asvs.
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https://api.github.com/repos/pandas-dev/pandas/issues/40935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40935/events | https://github.com/pandas-dev/pandas/issues/40935 | 857,394,910 | MDU6SXNzdWU4NTczOTQ5MTA= | 40,935 | API: Should isna return a copy for nullable types? | {
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```
>>> ser = pd.Series([1, 1, 1], dtype="Int64")
>>> mask = ser.isna()
>>> mask[:] = True
>>> ser
0 <NA... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40936/events | https://github.com/pandas-dev/pandas/issues/40936 | 857,640,203 | MDU6SXNzdWU4NTc2NDAyMDM= | 40,936 | pandas series append will lost original name if new series name is different | {
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"gi... | null | 4 | 2021-04-14T08:08:50Z | 2021-04-20T00:33:32Z | 2021-04-20T00:33:32Z | NONE | null | #### Question about pandas
pandas series append will lost original name if new series name is different, probably can improve by adding an arg like retain_name=True?
```python
# Your code here, if applicable
s1 = pd.Series([1,2,3], name='A')
s2 = pd.Series([4,5,6], name='B')
s3 = pd.Series([7,8,9])
s4 = pd.S... | {
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- Is there a reason for the magic number? Why not remove it?
- Alternatively, make it optional with something like pd.set_option('display.max_dir_items', None)?
Which is better?
https:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40939/events | https://github.com/pandas-dev/pandas/pull/40939 | 857,743,781 | MDExOlB1bGxSZXF1ZXN0NjE1MTEyNTEz | 40,939 | call pytest with python3 -m | {
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```sh
python3 -m pytest # ...
```
This allows running the tests in a venv. (Otherwise, if pytest is not installed in the venv, it falls back to the system pytest, leading to some surprises down the road.) | {
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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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```python
import pandas as pd
import numpy as np... | {
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- [ ] 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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> At runtime it is a plain dict | {
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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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get uploaded to here:
https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf
(and when the Japanese one is there, can update the docs to link to it as well)
Note:... | {
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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
This refers to the code that is curre... | {
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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] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
I did something like this in the past but this got lost back then between prs.
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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
This adds support for sort=False to pivot_table if we want to do this | {
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... | 3 | 2021-04-14T22:47:18Z | 2021-07-09T06:51:17Z | null | NONE | null | #### Is your feature request related to a problem?
DataFrame.corr(method="spearman") is extremely slow.
method="pearson" is quite slow too.
I can see from my machine resource monitor that the implementation is single threaded. Is it a design choice? If so, there should be at least an optional argument to paralleli... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40957/events | https://github.com/pandas-dev/pandas/pull/40957 | 858,467,113 | MDExOlB1bGxSZXF1ZXN0NjE1NzAxMDg0 | 40,957 | REF: move union_categoricals call outside of cython | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40958/events | https://github.com/pandas-dev/pandas/pull/40958 | 858,580,694 | MDExOlB1bGxSZXF1ZXN0NjE1Nzk2MTA4 | 40,958 | CLN: refactor tests outside of class setup in `style/test_matplotlib.py` | {
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It also parametrises some of the tests.
No test is altered or removed.
```
def test_background_gradient(styler):
def test_background_gradient_color(styler):
def test_background_gradient_axis(styler, axis, expected):... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40960/events | https://github.com/pandas-dev/pandas/pull/40960 | 858,673,299 | MDExOlB1bGxSZXF1ZXN0NjE1ODc0Njk3 | 40,960 | [ArrowStringArray] CLN: move and rename test_string_methods | {
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in #40708 the str accessor was enabled and tests changed in `pandas/tests/arrays/string_/test_string.py` and `pandas/tests/strings/test_string_array.py`
This PR colocates the str accessor test in `pandas/tests/arrays/string_/test_string.py` with those in `pandas/tests/strings/test_string_array... | {
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this PR is draft as this change has not yet been discussed. (maybe could keep the StringArray the same and create a StringArrayBase instead)
also probably want to do this after #39908 (which is not yet ready) and then move the common ba... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40963/events | https://github.com/pandas-dev/pandas/pull/40963 | 859,072,962 | MDExOlB1bGxSZXF1ZXN0NjE2MjEyNDIz | 40,963 | [ArrowStringArray] TST: more parameterised testing - part 4 | {
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`test_astype_string` in `pandas/tests/extension/base/casting.py` requires separate PR with fix
`test_convert_dtypes` in `pandas/tests/frame/methods/test_convert_dtypes.py` requires discussion https://github.com/pandas-dev/pandas/pull/40747#issuecomment-812508672... probably need to include in (or f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40964/events | https://github.com/pandas-dev/pandas/pull/40964 | 859,079,403 | MDExOlB1bGxSZXF1ZXN0NjE2MjE3ODIw | 40,964 | REF: move union_categoricals call outside of cython | {
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... | 3 | 2021-04-15T17:45:48Z | 2021-10-14T15:54:31Z | null | NONE | null | #### Location of the documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html
#### Documentation problem
System:
```
Windows 10 10.0.18363 Build 18363
Firefox 78.9esr (64-bit)
Chrome 89.0.4389.128 (Official Build) (64-bit)
MS Edge ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40966/events | https://github.com/pandas-dev/pandas/issues/40966 | 859,173,309 | MDU6SXNzdWU4NTkxNzMzMDk= | 40,966 | BUG: ewm not working properly with times | {
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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 numpy as np
import pandas as pd
print('E... | {
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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---
I am not sure if this is a reasonable solution. Cause If users install PyArrow from... | {
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] | closed | false | null | [] | null | 1 | 2021-04-16T06:27:58Z | 2021-04-16T06:45:46Z | 2021-04-16T06:45:46Z | CONTRIBUTOR | null | `DataFrame.quantile` has a `numeric_only` keyword argument, and extends the calculation to timedelta and timestamp (not sure why str is not also included, I would suggest that a non-numeric element would typically include a string)
`Series.quantile` does not have the `numeric_only` keyword argument, and obviously do... | {
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The following sentence is incorrect
Many pandas operations return a DataFrame or a Series. The describe() method is an example of a pandas operation returning a pandas **Series**.
It shou... | {
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] | closed | false | null | [] | null | 5 | 2021-04-16T09:48:37Z | 2021-04-25T19:43:53Z | 2021-04-25T19:41:22Z | MEMBER | null | Following on from the monthly meeting's discussion, some things were suggested:
- turning off the black formatter for the overloads, keeping them in `.py` files (what I've done here)
- moving overloads to `.pyi` files, writing a script to keep them in sync (I tried that this, and it seems that `mypy` behaves a bit ... | {
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"de... | closed | false | null | [] | null | 2 | 2021-04-16T10:01:41Z | 2021-04-19T17:22:28Z | 2021-04-19T17:22:28Z | MEMBER | null | This method is declared as `final`:
https://github.com/pandas-dev/pandas/blob/526d52f91ee06ba9134762373ab3a0bb38395d8a/pandas/core/generic.py#L3629-L3630
It's then overridden in `series`:
https://github.com/pandas-dev/pandas/blob/526d52f91ee06ba9134762373ab3a0bb38395d8a/pandas/core/series.py#L866
The reason... | {
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] | closed | false | null | [] | null | 1 | 2021-04-16T10:21:50Z | 2021-04-16T17:31:23Z | 2021-04-16T16:54:14Z | MEMBER | null | Noticed this while working on #40973
Those without any types won't be checked by `mypy`
e.g.:
```console
$ cat t.py
from typing import final
class Foo:
@final
def foo(x) -> None:
pass
class Bar(Foo):
def foo(x):
pass
$ mypy t.py
Success: no issues found in 1 source fil... | {
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... | closed | false | null | [] | null | 2 | 2021-04-16T10:38:28Z | 2021-04-25T17:48:20Z | 2021-04-25T17:48:20Z | NONE | null | Before I upgraded to Pandas v1.2.3, read_excel would sometimes create empty columns, titled "Unnamed: x". But after upgrading, it always creates empty unnamed columns and several of them. It seems like there should be a default such that empty columns that Pandas wants to call Unnamed don't show when reading in Excel. ... | {
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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.
---
Between 1.1.5 and 1.2.0rc2 the behavior of slicing MultiIndexes has changed. Up to... | {
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"defa... | open | false | null | [] | null | 6 | 2021-04-16T14:17:39Z | 2021-11-16T17:31:13Z | null | MEMBER | null | - [x] closes #40977
- [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
---
@WillAyd this should still be backwards compatible, it just makes the signature com... | {
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] | open | false | null | [] | null | 0 | 2021-04-16T14:23:04Z | 2021-04-16T14:23:04Z | null | MEMBER | null | same story as #40977 | {
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---
#### Code Sample, a copy-pastable example
```python
import pandas
```
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Depending on the way forward this would allow us to get downcast out from Block or be stricter about it
Thougts?
cc @jbrockmendel @jreback | {
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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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I think we should not allow these column collisions at all. Hence deprecating and raising ... | {
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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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I think deprecating this is a good idea, I stumbled across this accidentally this week and... | {
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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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My best guess is that `memory_map=True` always assumed UTF-8 with the python engine. Now t... | {
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dti = pd.date_range("2016-01-01", periods=3)
ci = pd.Categorical(dti._values)
>>> pd.Categorical(["foo"], dtype=ci.dtype)
[NaT]
Categories (3, datetime64[ns]): [2016-01-01, 2016-01-02, 2016-01-03]
```
Casting "foo" to pd.NaT here makes very little sense to me, and does not match the behavior of any of ou... | {
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I have followed the guidance of **README.md -> Installation from sources** , download the source code of master and excute the install commands. However, I got some errors when running this command
``` bash
python setup.py install
```
It looks like that the installation script called gcc an... | {
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Regression on master so no whatsnew
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https://api.github.com/repos/pandas-dev/pandas/issues/41007 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41007/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41007/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41007/events | https://github.com/pandas-dev/pandas/pull/41007 | 860,521,092 | MDExOlB1bGxSZXF1ZXN0NjE3Mzg1MTQ2 | 41,007 | TYP: core.computation | {
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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/41008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41008/events | https://github.com/pandas-dev/pandas/pull/41008 | 860,522,429 | MDExOlB1bGxSZXF1ZXN0NjE3Mzg2MDc5 | 41,008 | Fix setting dataframe column to 2d array with more than one col | {
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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
I throw a value error when a dataframe column is assigned to an object with `ndim == 2` with more than one colum... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41009 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41009/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41009/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41009/events | https://github.com/pandas-dev/pandas/issues/41009 | 860,542,720 | MDU6SXNzdWU4NjA1NDI3MjA= | 41,009 | BUG: Pandas Multicolumns don´t keep df.columns.name when modifiyng some colum | {
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`import pandas as pd`
`arrays = [["bar", "bar", "baz", "baz", "foo", "foo", "qux", "qux"],
["one", "two", "one", "two", "one", "two", "one", "two"],]`
`tuples = list(zip(*arrays))`
`index = pd.MultiIndex.from_tuples(tuples, names=["first",... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41010 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41010/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41010/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41010/events | https://github.com/pandas-dev/pandas/pull/41010 | 860,563,555 | MDExOlB1bGxSZXF1ZXN0NjE3NDE0NTE5 | 41,010 | BUG: groupby.rank with MaskedArray incorrect casting | {
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- [x] tests added / passed
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In master:
```
df = pd.DataFrame({"key": ["a"] * 4, "val": [1] * 4})
df["val"] = df["val... | {
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No need for a try/except; we can reason out which branch we go down in each of the places ... | {
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It feels more verbose, but necessary? | {
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Also removed some of the longer detail which has been moved to individual documentation pages (for example for `background_gradient`) | {
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new numpy wheel is out, bug was fixed during the week
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https://api.github.com/repos/pandas-dev/pandas/issues/41016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41016/events | https://github.com/pandas-dev/pandas/issues/41016 | 860,645,502 | MDU6SXNzdWU4NjA2NDU1MDI= | 41,016 | ENH: add optional sort_order keyword to `concat()`. | {
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xref #33634
```python
ser1 = pd.Series(["1","3"], index=pd.Index(["a", "c"], dtype="object"), dtype="object", name="test1")
ser2 = pd.Series([3, 4, 5], index=pd.Index(["a", "b", "c"], dtype="object"), dtype="float64", name="test2")
ser3 = pd.Series([6,7,8], inde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41017/events | https://github.com/pandas-dev/pandas/pull/41017 | 860,668,659 | MDExOlB1bGxSZXF1ZXN0NjE3NDg3Mjg2 | 41,017 | Fix 33634: If aggregation function returns NaN the order of the index on the resulting df is not maintained | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2021-04-18T13:44:15Z | 2021-05-21T01:16:15Z | 2021-05-21T01:16:05Z | MEMBER | null | - [x] closes #33634
- [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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