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- [x] passes `black pandas`
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- [ ] whatsnew entry
Starts work on #33287
Proof of concept for 32bit/16bit hash tables. If works it should become blue print for UInt32/Int16/UInt16/Float32-HashTables.
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remove casts and ignores added in #37898 (needed to use typevar in DatetimeLikeArrayMixin in conjunction with overload for slice to return correct DatetimeArray/PeriodArray)
another pass required to
more typevars for return type of type(self)
type \_\_getitem__ in concrete classes (Categ... | {
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Currently `pd.Series([1, 2, 3]).astype('Int8').idxmax()` raises an error.
This request proposes a fix.
My first time... | {
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```
pandas/core/indexes/datetimelike.py:776: error: Argument 1 to "_simple_new" of "DatetimeIndexOpsMixin" has incompatible type "Union[ExtensionArray, Any]"; expected "Union[DatetimeArray, TimedeltaArray, PeriodArray]" [arg-type]
Found 1 error in 1 file... | {
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* Added `'count'` to `arithmetic_win_operators`
* Reused fixtures
* Used more pytest idioms in `test_moments_consistency_expanding.py`
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---
Suppose I left join a DataFrame `B` onto `A` (with `sort=False`) such that some keys are duplicated in both A and B. Is the resulting DataFrame guaranteed to be lex-sorted based o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37928/events | https://github.com/pandas-dev/pandas/issues/37928 | 745,259,001 | MDU6SXNzdWU3NDUyNTkwMDE= | 37,928 | BUG: SingleBlockManager' object has no attribute 'external_vaues' while using drop_duplicate | {
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- [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/37929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37929/events | https://github.com/pandas-dev/pandas/issues/37929 | 745,290,292 | MDU6SXNzdWU3NDUyOTAyOTI= | 37,929 | API: make CategoricalDtype.__eq__ stricter | {
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... | open | false | null | [] | null | 3 | 2020-11-18T03:14:41Z | 2021-08-14T05:17:14Z | null | MEMBER | null | We allow for partially-initialized CategoricalDtypes to compare as equal to fully-initialized ones, leading to some surprising behaviors. The one that I stumbled over was this:
```
cat = pd.Categorical(["a", "b", "c"], ordered=True)
dtype = pd.CategoricalDtype()
>>> cat.dtype == dtype
True
cat2 = cat.astyp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37930/events | https://github.com/pandas-dev/pandas/issues/37930 | 745,292,242 | MDU6SXNzdWU3NDUyOTIyNDI= | 37,930 | INT: include NA values in Categorical.categories | {
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"color": "e11d21... | open | false | null | [] | null | 6 | 2020-11-18T03:19:11Z | 2020-11-18T16:18:00Z | null | MEMBER | null | There are a bunch of places in CategoricalIndex where we check something like:
```
codes = self.categories.get_indexer(target)
if (codes == -1).any():
do_something()
```
This leads to ambiguity, as a -1 code can indicate an NA value that is present, or a non-NA value that is not among self.categories. Ha... | {
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cc @phofl if you've got any thoughts on how to handle this case | {
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discovered on branch that has dataframe always go through split_path | {
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cc @jschendel
Still need to figure out what to do for backwards compat for unpickled IntervalDtype objects; ATM this just sets closed=None.
Th... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37935/events | https://github.com/pandas-dev/pandas/issues/37935 | 745,485,788 | MDU6SXNzdWU3NDU0ODU3ODg= | 37,935 | BUG: json_normalize() upcasts column with missing values | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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From jupyter
After uploading to Github
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https://api.github.com/repos/pandas-dev/pandas/issues/37937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37937/events | https://github.com/pandas-dev/pandas/issues/37937 | 745,743,852 | MDU6SXNzdWU3NDU3NDM4NTI= | 37,937 | BUG: Concat automatically sorts index when axis=1 | {
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#### Problem description
Hi! I've noticed that when concat'ing DataFrames, along `axis=1`, integer indexes are automatically sorted even when `sort=False`. This is not the case when `axis = 1` and we have a stringIndex. This also diverges from when `axis=0`. This behaviour is a bit confusing and so I thought it... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37938/events | https://github.com/pandas-dev/pandas/pull/37938 | 745,784,143 | MDExOlB1bGxSZXF1ZXN0NTIzMjg2OTE3 | 37,938 | CI: Fix ci flake error | {
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came across it in #36305
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https://api.github.com/repos/pandas-dev/pandas/issues/37939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37939/events | https://github.com/pandas-dev/pandas/issues/37939 | 745,793,224 | MDU6SXNzdWU3NDU3OTMyMjQ= | 37,939 | QST: how to run Pandas tests involving Numba on installed package | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
I am trying to run the Pandas tests involving Numba l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37940/events | https://github.com/pandas-dev/pandas/issues/37940 | 745,801,444 | MDU6SXNzdWU3NDU4MDE0NDQ= | 37,940 | CI: flake8 check does not work properly | {
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Have seen it in #37923 and in #37703 , so ci checks ran successfully in those feature PRs, but actually they should have detected this unused import.
Basically flake8 check in CI should detect cases such as `unused imports`, however, right now, observed from those two PRs, it didn't detect them in fea... | {
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Pandas query strings are very useful, however when using a variable to pass in the query, e.g.
```df.query(my_query)```
There is no null or empty `my_query` that will return all rows. An empty string returns a ValueError. Any non-string argument returns an err... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37942 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37942/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37942/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37942/events | https://github.com/pandas-dev/pandas/issues/37942 | 745,885,383 | MDU6SXNzdWU3NDU4ODUzODM= | 37,942 | BUG: Area plot overwrites matplotlib's default share y axes behaviour | {
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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
impor... | {
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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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Breaking up the predefined `moments_consistency_*` functions into more scoped tests with more pytest idioms. | {
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- [ ] tests added / passed
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] | closed | false | null | [] | null | 8 | 2020-11-18T22:28:14Z | 2021-08-14T05:25:50Z | 2021-08-14T05:25:50Z | NONE | null | I'm not sure if this is the right place to ask, but it seems the autocompletion in python or ipython console is especially slow for large DataFrame with strings (object) in it.
For example, consider the following two DataFrames:
```python
import numpy as np
import pandas as pd
df1 = pd.DataFrame(np.random.rand... | {
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I often have a list of (variable-size) intervals and I want to aggregate multiple statistics for these intervals.
```py
import numpy as np
import pandas as pd
data = pd.DataFrame({'a': [1]*100, 'b': [2]*100}, index=np.arange(0.0, 10, 0.1))
starts = [0.0, 2.... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Additionally allows removal of `moments/conftest.py` and `tests/window/common.py`
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TODO:
- `compression` can be re-used | {
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* I think so, it's a bit hard to search for though. Nothing under concat and __setindex__
- [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.... | {
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When the method pd.read_csv() is called, unfortunately this doesn't take advantage of the multiprocessing module, making it inefficient to read multiple datasets, especially when more cores are available to work.
Other modules like modin or dask, already implemen... | {
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When a function is passed to DataFrame.apply (with any axis) unfortunately, this doesn't take advantage of the multiprocessing module, making it inefficient for large datasets, especially when more cores are available to work.
Other modules like modin or dask, al... | {
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... | 3 | 2020-11-19T15:44:36Z | 2020-12-27T12:19:33Z | 2020-12-27T12:19:33Z | CONTRIBUTOR | null | `pd.testing.assert_series_equal(result, expected)`
should fail style checks, rather we want `tm.assert_series_equal`
we need to update any usages in the codebase as well as add this to the pre-commit checks. | {
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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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- Cleaned `conftest.py`
- Moved some tests to the appropriate location
- Reorg `test_groupby` into `TestRolling` and `TestExpanding` classes
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cc @jbrockmendel | {
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- [x] passes `black pandas`
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really small clean up | {
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Is there a case-when-function in pandas not? If there is, I would like to add this functionality.
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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 re
import pandas a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37964/events | https://github.com/pandas-dev/pandas/pull/37964 | 747,008,397 | MDExOlB1bGxSZXF1ZXN0NTI0MzAxNTYy | 37,964 | BUG: Bug in setitem raising ValueError when setting more than one column via array | {
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Did not add whatsnew, cause works on 1.1.4
Array to set has to have more or less rows than columns, otherwise bug won't occur. Wrong values would be set silently here.
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The fix to keep resample working is a kludge I'd like to make unnecessary before merging; cc @mroeschke | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37966/events | https://github.com/pandas-dev/pandas/pull/37966 | 747,029,450 | MDExOlB1bGxSZXF1ZXN0NTI0MzIwNzA3 | 37,966 | Read csv headers | {
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- [ ] (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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Implements `NDArrayBackedExtensionArray.putmask` which will hopefully be rolled into `__array_function__` to simplify a bunch of code. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37969 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37969/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37969/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37969/events | https://github.com/pandas-dev/pandas/issues/37969 | 747,070,929 | MDU6SXNzdWU3NDcwNzA5Mjk= | 37,969 | ENH: bfloat16 when available? | {
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https://github.com/numpy/numpy/issues/17809
Hi,
I saw NEP 41 Status: | Accepted
https://github.com/numpy/numpy/blob/master/doc/neps/nep-0041-improved-dtype-support.rst
I'm just wondering when will bfloat16 be available in numpy?
For some ML problems, thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37971/events | https://github.com/pandas-dev/pandas/pull/37971 | 747,107,825 | MDExOlB1bGxSZXF1ZXN0NTI0MzgxNjg1 | 37,971 | PERF: IntervalArray.argsort | {
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```
In [2]: idx = pd.IntervalIndex.from_breaks(range(10**4))
In [3]: arr = idx._data
In [4]: %timeit arr.argsort()
24.5 ms ± 458 µs per loop (mean ± std. dev. of 7 runs, 10 loo... | {
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- [x] tests added / passed
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Fixes the `string` -> `float` conversion as discussed in #37626 in presence of `pd.NA`. I used the same approach as used in `stri... | {
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This PR adds messages to the bare pytest raises in pandas/tests/io/pytables/test_timezones.py. This PR references https://github.com/pandas-dev/panda... | {
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if compared to the same method called with `(..., skipna=True)`
---
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pan... | {
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ATM CategoricalIndex.where has some idiosyncratic behavior:
```
ci = CategoricalIndex(["a", "b", "c", "d"])
mask = np.array([True, False, True, ... | {
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python 3.8.6
numpy 1.19.4
pandas 1.1.4
pip 20.2.4
When I try:
`import pandas as pd
from pandas.io.common import EmptyDataError
`
I have error:
`ImportError: cannot import name 'EmptyDataError' from 'pandas.io.common' (/xx... | {
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https://github.com/pandas-dev/pandas/blob/08e4baf1300... | {
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Added a test to verify the behavior described in issue #16360. However, I'm not 100% sure about the location of the test. | {
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```
In [2]: rng = pd.Index(range(50)).repeat(20).astype("category")
In [14]: %timeit rng._engine.clear_mapping(); rng.get_loc(40)
24.8 µs ± 624 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each) # <-- master
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> Currently the user-completion (ipython "<tab>") on a dataframe with more than 100 columns will silently ignore some columns, letting an unaware user confused on whether data disapeared.
>
> This is actually documented, and due to an arbitrary limit set to workaround a performance issue ( See #185... | {
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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
Picking up from #28474
cc @jreback in case this can go in in time for 1.2 | {
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- [x] tests added / passed
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### Background.
> Might be worth it actually - I _think_ people are only likely to use `.info` in an interactive session, rather than as part of production code, so p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38000/events | https://github.com/pandas-dev/pandas/issues/38000 | 748,217,374 | MDU6SXNzdWU3NDgyMTczNzQ= | 38,000 | DOC: DataFrame.last() needs the index to be sorted to deliver the expected results | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.last.html
#### Documentation problem
For the method to work it is needed that the **_DatetimeIndex_ of the dataframe is sorted**, otherwise it will notwork.
Example:
```
import pandas as pd
df =... | {
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... | 5 | 2020-11-22T17:15:55Z | 2021-08-14T05:40:07Z | null | CONTRIBUTOR | null | #### Is your feature request related to a problem?
In some cases we can set a default value for non matches of `str.extract` with `Series/Frame.fillna`.
But there are cases when the data prior to applying `str.extract` already has NaN values. So running fillna on the results would fill both, and there we cannot d... | {
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- [ ] tests added / passed
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Cleanup of spelling, grammar, and links.
----
cc @jorisvandenbossche, @dsaxton, @phofl:
Using ``:meth:`.DataFrameGroupBy.quantile` `` (note... | {
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This is moreless copy/paste from https://github.com/xhochy/fletcher with a slight tidy for initial review feedback
still to do
- [x] benchmarking
- [x] return type for chunked array with more than 1 chunk
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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
That one was tricky. When only one existing key was given or both string parts exist, ``Index.slice_indexer`` is not raising KeyError but selecting ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38013 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38013/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38013/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38013/events | https://github.com/pandas-dev/pandas/issues/38013 | 748,509,576 | MDU6SXNzdWU3NDg1MDk1NzY= | 38,013 | BUG: pandas truncate too large data without any warning of any kind, causing data loss | {
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"... | open | false | null | [] | null | 3 | 2020-11-23T06:27:07Z | 2021-08-14T05:41:13Z | 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.
---
**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/38014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38014/events | https://github.com/pandas-dev/pandas/pull/38014 | 748,521,753 | MDExOlB1bGxSZXF1ZXN0NTI1NDk2ODg5 | 38,014 | BUG: Fixes plotting with nullable integers (#32073) | {
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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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"followers_url": "https://api.github.com/users/jreback/followers",... | 6 | 2020-11-23T07:42:01Z | 2021-09-08T01:54:00Z | 2021-09-08T01:54:00Z | CONTRIBUTOR | null | ```python
>>> idx = pd.Index([('A','cat'),('B','cat'),('B','cat')])
>>> df = pd.DataFrame(index=idx)
>>> df.rename(index={'A':'Apple'}, level=0)
ValueError: non-broadcastable output operand with shape (1,1) doesn't match the broadcast shape (1,2)
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38016/events | https://github.com/pandas-dev/pandas/issues/38016 | 748,782,866 | MDU6SXNzdWU3NDg3ODI4NjY= | 38,016 | BUG: | {
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```
def volat(prices, n):
n_years = prices.last_valid_index()-pd.DateOffset(years=n)
return 100*np.sqrt(52)*prices[n_years:].asfreq('W-FRI', method='ffill').pct_change().std()
################### METHOD 1 ###################
tab... | {
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- `any_int_dtype` (numpy only)
- `any_int_nullable_dtype` (EA only)
- `any_numeric_dtype` both numpy & EA
- `any_real_dtype` both numpy int & float
- `sint_dtype` signed numpy ints
for example
so we need dtypes that are numpy_only... | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Replaces `pathlib.Path` with `os.PathLike` to bring behaviour further in-line with the [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv... | {
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