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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Attempted to figure out what is wrong with the issue https://github.com/pandas-dev/pandas/issues/36211.
I noticed that the private methods ``_write`... | {
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From this set of 10 files, only the first 3 needed changes to comply if the new version of black:
- [x] pandas/tests/io/pytables/test_timezones.py
- [x] pandas/tests/io/test_feather.py
- [x] pandas/tests/io/test_s3.py
- [ ] pandas/tests/io/test_sql.py
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Cleans a very minor formatting error to be consistent with w3schools specification.
`colspan=2 ---> colspan="2"`
Note this generally has no effect in browsers parsing HTML. | {
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https://github.com/pandas-dev/pandas/releases/tag/v1.1.2
#### Documentation problem
The "what's new" link doesn't appear to function for update 1.1.2.
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ATM `ExtensionBlock._can_hold_element` incorrectly always returns True. This needs to be an EA method that returns True if and only if `self[0] = value` is allowed on a non-empty array.
This method can ... | {
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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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- [x] tests added / passed
- modified `tests/io/parser/test_c_parser.py` to make sure all 4 options are tested
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- [ ] closes #29699
- [ ] tests added / passed
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Not sure where the best place to put the test is.
Also, this code generates a warning which doesn't seem to disappear when following the guidance of the warning i... | {
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Tangential question: when I run flake8 it passes, but the pre-commit hook often gives me a bunch of messages like `pandas/core/indexes/base.py:956:51: F821 undefined name 'ignore'`. Is this something I can fix by pinning a version or something? | {
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New performance comparison with 10k groups
```
In [1]: df_g = pd.DataFrame({'a': range(10**4), 'b': range(10**4), 'c': range(10**4)})
In [2]: df_g.groupby('a').tran... | {
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```pycon
>>> import pandas as pd
>>> import numpy as np
>>> s = pd.Series(["a", "b", np.nan], index=["a", "b", np.nan], dtype="category")
>>> df = pd.DataFrame().assign(
... cat_contains=s.str.contains("a", na=False),
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https://api.github.com/repos/pandas-dev/pandas/issues/36242 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36242/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36242/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36242/events | https://github.com/pandas-dev/pandas/pull/36242 | 696,591,866 | MDExOlB1bGxSZXF1ZXN0NDgyNjUzOTc4 | 36,242 | Backport PR #36183 on branch 1.1.x (DOC: Start 1.1.3) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36243/events | https://github.com/pandas-dev/pandas/issues/36243 | 696,600,826 | MDU6SXNzdWU2OTY2MDA4MjY= | 36,243 | Backward fill method: custom method | {
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<img width="90" alt="Figure_1" src="https://user-images.githubusercontent.com/66080348/92575683-edf5bb80-f288-11ea-8d41-e6e58832e7db.PNG">
Good morning,
I have a Pandas dataframe with several missing values.
What I want to do is to use next valid observation to fill gap like the bfill method.
However, I do not ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36244 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36244/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36244/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36244/events | https://github.com/pandas-dev/pandas/pull/36244 | 696,846,923 | MDExOlB1bGxSZXF1ZXN0NDgyODcxMDUz | 36,244 | DOC: Update numeric.py | {
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- [x] closes #36239
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/36245 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36245/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36245/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36245/events | https://github.com/pandas-dev/pandas/issues/36245 | 696,886,813 | MDU6SXNzdWU2OTY4ODY4MTM= | 36,245 | BUG: pd.json_normalize on a column loses rows that have an empty list for that column | {
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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
We lose the first row when we normali... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36246 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36246/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36246/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36246/events | https://github.com/pandas-dev/pandas/pull/36246 | 696,888,248 | MDExOlB1bGxSZXF1ZXN0NDgyOTA1Nzg3 | 36,246 | DOC: Fixed a broken JSON Table Schema link | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/36247 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36247/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36247/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36247/events | https://github.com/pandas-dev/pandas/issues/36247 | 696,909,430 | MDU6SXNzdWU2OTY5MDk0MzA= | 36,247 | [BUG] loc does not preserve datatype with a single element | {
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"description": "Unexpected or buggy dtyp... | closed | false | null | [] | null | 7 | 2020-09-09T15:23:15Z | 2020-09-10T11:22:13Z | 2020-09-10T11:22:12Z | CONTRIBUTOR | null | Opening a new issue as per @Dr-Irv suggestion on #31763
Sorry issue formatting got lost
```py
import pandas as pd
import numpy as np
not_preserved = pd.DataFrame(np.arange(24).reshape((8, 3)), columns=list("ABC"))
not_preserved['F'] = np.random.random(8)
print("Mixed datatype DataFrame")
print(not_pres... | {
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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/... | {
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"followers_url": "https://api.github.co... | 2 | 2020-09-09T16:31:45Z | 2020-09-13T12:25:48Z | 2020-09-12T21:17:49Z | CONTRIBUTOR | null | - [x] closes #36241
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I parametrized dtype in existing tests. Should I create a separate test instead? | {
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... | 3 | 2020-09-09T17:59:08Z | 2020-11-05T01:22:24Z | 2020-11-05T01:22:24Z | NONE | null | #### Location of the documentation
https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges
**Note**: You can check the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/).
#### Documentation problem
Documentation doesn't specify what happens when ... | {
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... | open | false | null | [] | null | 0 | 2020-09-09T18:12:27Z | 2021-08-13T02:35:39Z | 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
```python
import pandas as pd
import numpy as np
pd.DataFrame(dict... | {
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] | closed | false | null | [] | null | 3 | 2020-09-09T19:06:11Z | 2020-09-10T00:07:46Z | 2020-09-10T00:07:46Z | NONE | null | #### Problem:
I am using Pandas for reading in data to do machine learning tasks. And one problem I encounter is that the data I have is usually very very big. For example one data set I have is about 16 GB big, and my RAM is only 12 GB. So instead of reading all the lines from this data, I know I can read in the fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36254 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36254/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36254/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36254/events | https://github.com/pandas-dev/pandas/pull/36254 | 697,106,092 | MDExOlB1bGxSZXF1ZXN0NDgzMDkyNzcy | 36,254 | searchsorted numpy compat for Period dtype | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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Improved the docs a bit here. Closes the issue | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36256/events | https://github.com/pandas-dev/pandas/issues/36256 | 697,142,377 | MDU6SXNzdWU2OTcxNDIzNzc= | 36,256 | Disable read_pickle() function to avoid having security vulnerabilities. | {
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It would be great if you could launch ... | {
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... | open | false | null | [] | null | 0 | 2020-09-09T21:02:38Z | 2020-09-09T21:03:13Z | null | MEMBER | 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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://pandas.pydata.org/docs/user_guide/indexing.html#indexing-deprecate-loc-reindex-listlike
#### Documentation problem
We have a lot of warnings in the documentation ``Starting with 0.x the following is deprecated.`` Most of these things stopped working with 1.0. Should w... | {
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ATM we cast strings for listlike inputs but not for scalars.
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```
df.agg(
sale_hour=('sale_count', 'count')
)
```
But resample().agg doesn't :
```
df.resample('D').agg(
sale_hour=('sale_count', 'count')
)
```
got
```
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... | 2 | 2020-09-10T04:47:03Z | 2021-09-22T17:24:19Z | null | NONE | null | I just found out that when we concatenate two dataframes horizontally, if one dataframe has duplicate indices, pd.concat() will crash, but df.join() will not crash. Instead, df.join() will spread the values into all rows with the same index value. Is this behavior by design? Thanks!
```
df1 = pd.DataFrame(np.rando... | {
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- [x] closes #35219
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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] | closed | false | null | [] | null | 0 | 2020-09-10T09:55:29Z | 2020-10-03T20:00:01Z | 2020-10-03T20:00:01Z | CONTRIBUTOR | null | I'm fed up dealing with the build issues from the ORC C++ conda package and consider just disabling the support of it in the `pyarrow` conda package.
Main discussion should/can happen in the dask issue tracker as they seem to have the largest user base of this feature: https://github.com/dask/dask/issues/6615 There ... | {
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- [x] closes #22205
- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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``DataFrame.to_latex()`` does not allow one to specify short caption.
Short caption is useful for the creation of neat-looking list of tables, where the caption is short, fitting into one line.
#### Describe the solution you'd like
Either add kwarg ``short_ca... | {
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Inconsistent behaviors of the argument for **DataFrame.sort_values**( )
The first argument takes list, but fail to take tuple .
These worked:
``` python
df.sort_values( ['A', 'B'], ascending= [1, 0] ) # list, list
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- [ ] tests added / passed
- [x] passes `black pandas`
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Slight clean-up of ``pandas/io/parsers.py``. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36270/events | https://github.com/pandas-dev/pandas/pull/36270 | 698,271,144 | MDExOlB1bGxSZXF1ZXN0NDg0MTMxMjE1 | 36,270 | FIX: allow sorting by tuple of column names | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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
i... | {
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- [X] closes #36271
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* Adds tests to cover sql cases combining parameters and `%`.
* Notably, these tests highlight two regressions in v1.1
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] | closed | false | null | [] | null | 6 | 2020-09-10T21:25:00Z | 2020-09-19T03:34:41Z | 2020-09-12T20:46:36Z | NONE | null | - [x] closes #18691
- [x] tests added / passed
- [ ] passes black pandas
- [ ] passes git diff upstream/master -u -- "*.py" | flake8 --diff
- [x] whatsnew entry
added peek, which is essentially a concatenation of head and tail functions. The reason I add, is because often for sorted data, you are interested in ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36278/events | https://github.com/pandas-dev/pandas/pull/36278 | 698,528,739 | MDExOlB1bGxSZXF1ZXN0NDg0MzYyMjYz | 36,278 | Concatenating rows with Int64 datatype coerces to object | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Issue was fixed in the past.
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Pandas + 3.9 takes a long time to build and then dies with a compiler error. It also does this when I install cython first, which is the usual workaround w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36280/events | https://github.com/pandas-dev/pandas/pull/36280 | 698,713,545 | MDExOlB1bGxSZXF1ZXN0NDg0NTMxMzQ1 | 36,280 | PERF: CategoricalDtype.__eq__ | {
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1) categories have different lengths --> never equal
2) categories have different dtypes --> never equal
3) categories are not object-dtype --> can use use get_indexer instead of hashing
```
import pandas as pd
import numpy as np
dti = pd.date_range("... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] new test cases
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```
def any(self, skipna: bool = True):
"""
Return True if any value in the group is truthful, else False.
Parameters
----------
skipna : bool, default True
Flag ... | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
In pandas.core.indexes.base ``hash`` is called [here]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36286/events | https://github.com/pandas-dev/pandas/issues/36286 | 699,089,690 | MDU6SXNzdWU2OTkwODk2OTA= | 36,286 | ENH: allow sort_values to use the natural sort order | {
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The [natural sort order](https://en.wikipedia.org/wiki/Natural_sort_order#:~:text=Natural%20sort%20order%20is%20an,machine%2Doriented%20pure%20alphabetical%20order) is a common use case when working with real-world data. For example, consider the following DataFrame... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
# Update
```
import numpy as np
from pandas import DataFrame, to_datetime
from datetime import timedelta
df = DataFrame(
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https://api.github.com/repos/pandas-dev/pandas/issues/36288 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36288/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36288/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36288/events | https://github.com/pandas-dev/pandas/issues/36288 | 699,125,226 | MDU6SXNzdWU2OTkxMjUyMjY= | 36,288 | ERR: Report key on (unsupported) indexing errors | {
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"description": "Incorrec... | open | false | null | [] | null | 1 | 2020-09-11T10:11:16Z | 2021-08-13T02:45:51Z | null | NONE | null | I would suggest to that indexing errors also state what they received, e.g. change [this](https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexing.py#L705) to:
except ValueError as err:
raise ValueError(
"Location based indexing can only have "
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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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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
If obj_labes Index has duplicates and they are not removed from new_labels before redindexing, they are multiplied. So we would get a way too big in... | {
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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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Updated the deprecation warnings.
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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
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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
print... | {
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Updated the following files:
pandas/tests/series/methods/test_interpolate.py
pandas/tests/series/methods/test_unstack.py
pandas/tests/series/test_cumulative.py
pandas/tests/test_algos.py
- [ ] closes #xxxx
- [ ]... | {
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- [ ] pass tests & update whatsnew for 3.9 build so we can include in 1.1.3
cc @pandas-dev/pandas-core | {
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- [x] tests added / passed
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The else-block was pretty buggy in case of non unique indexes (was dependent on order of indexes and if one was subset of the ... | {
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Improved the docstring a bit in case of multi-index and no level given. | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/36304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36304/events | https://github.com/pandas-dev/pandas/pull/36304 | 700,216,345 | MDExOlB1bGxSZXF1ZXN0NDg1ODg2OTQz | 36,304 | PERF: creating string Series/Arrays from sequence with many strings | {
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Examples:
```python
>>> x = np.array([str(u) for u in range(1_000_000)], dtype=object)
>>> %timeit pd.Series(x, dtype=str)
344 ms ± 59.7 ms per loop # v1.1.0
157 ms ± 7.04 ms per loop # v1.1.1 and master
22.6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36305/events | https://github.com/pandas-dev/pandas/pull/36305 | 700,224,850 | MDExOlB1bGxSZXF1ZXN0NDg1ODk0MzY5 | 36,305 | ENH: Support MultiIndex columns in parquet (#34777) | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Support MultiIndex for columns in parquet format by updating value column names check to handle MultiIndexes. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36306/events | https://github.com/pandas-dev/pandas/issues/36306 | 700,240,181 | MDU6SXNzdWU3MDAyNDAxODE= | 36,306 | BUG: DataFrameGroupBy.apply with as_index False column name | {
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```
df = DataFrame({"A": [1, 2], "B": [3, 4]})
g = df.groupby("A", as_index=False)
result = g.apply(len)
print(result)
```
results in
```
A NaN
0 1 1
1 2 1
```
If we were to use `pandas.core.common.get_callable_name`, then we would be able to have the column name be "len" in th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36307/events | https://github.com/pandas-dev/pandas/issues/36307 | 700,247,248 | MDU6SXNzdWU3MDAyNDcyNDg= | 36,307 | TYPING: `df.columns.levels` raises mypy error on MultiIndex for columns | {
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When adding check on inferred type for each level in MultiIndex for columns, error message pops up in CI (Typing validation with mypy):
`pandas/io/parquet.py:59: error: "Index" has no attribute "levels"; maybe "nlevels"? [attr-defined]`
I understand that single-level Indexes do not have... | {
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```
df = DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
df.groupby([1, 1], axis=1).transform("shift")
```
results in `ValueError: Length mismatch: Expected axis has 2 elements, new values have 3 elements`.
I think the issue is in `pandas.core.grou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36309/events | https://github.com/pandas-dev/pandas/pull/36309 | 700,335,581 | MDExOlB1bGxSZXF1ZXN0NDg1OTg4NDk1 | 36,309 | PERF: get_dtype_kinds | {
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This fixes a little more than half of the performance hit in the benchmark discussed in #34683. | {
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Also just in principle having EAs not depend on Inde... | {
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- [ ] closes #35989
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https://api.github.com/repos/pandas-dev/pandas/issues/36312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36312/events | https://github.com/pandas-dev/pandas/pull/36312 | 700,355,436 | MDExOlB1bGxSZXF1ZXN0NDg2MDA2MDU4 | 36,312 | PERF: JoinUnit.is_na | {
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We'll also be able to clean up MultiIndex special-casing in _reindex_non_unique. I expect others but cant say for sure yet. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36314/events | https://github.com/pandas-dev/pandas/issues/36314 | 700,377,008 | MDU6SXNzdWU3MDAzNzcwMDg= | 36,314 | ENH: Improve Multiindexing API | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2020-09-12T21:07:01Z | 2020-09-12T22:02:20Z | 2020-09-12T22:02:20Z | CONTRIBUTOR | null | #### Is your feature request related to a problem?
Consider the following dataframe
```
Exams Labs
I II I II
Student Course
Ada Comp 70 71 72 73
Math 71 73 75 74
Sci 72 75 75 75
Quinn Comp ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36316/events | https://github.com/pandas-dev/pandas/pull/36316 | 700,407,628 | MDExOlB1bGxSZXF1ZXN0NDg2MDUwNjU1 | 36,316 | BUG: Don't overflow with large int scalar | {
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"followers_url": "https://api.github.co... | 3 | 2020-09-12T22:58:41Z | 2020-09-13T13:33:14Z | 2020-09-13T12:34:52Z | MEMBER | null | - [x] closes #36291
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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