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https://api.github.com/repos/pandas-dev/pandas/issues/34117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34117/events | https://github.com/pandas-dev/pandas/issues/34117 | 615,964,780 | MDU6SXNzdWU2MTU5NjQ3ODA= | 34,117 | BUG: my_DataFrame.groupby().min()/-max() gives Assertion error message | {
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] | closed | false | null | [] | null | 2 | 2020-05-11T15:14:57Z | 2020-08-21T17:05:37Z | 2020-05-11T17:20:24Z | NONE | null | With pandas 1.0.0. (and newer) min/max methods for groups to not work as before:
```python
my_DataFrame.groupby().min()
my_DataFrame.groupby().max()
```
are not working anymore - it will give you an Assertion error message with no special location in the code.
You currently new to use aggregation to get this in... | {
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cc @jreback | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34120/events | https://github.com/pandas-dev/pandas/issues/34120 | 616,064,947 | MDU6SXNzdWU2MTYwNjQ5NDc= | 34,120 | BUG: read_csv returns inconsistent or misleading values with dtype=float | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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with Index we could do something like:
```python
>>> pd.Index(['a', 'b', 'c']) == 'c'
array([False, False, True])
```
And it's also possible to do the same for Index with tuples:
```python
>>> pd.Index([('a', 'b'), ('b', 'c'), ('c', 'a')]) == ('c', 'a')
array([False, False, Tru... | {
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- [x] closes #23055
- [x] tests added / passed
- [x] passes `black pandas`
- [x] 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. (exists on the version I checked out 2 weeks ago)
I observed the following behavior:
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Also, adding missing link to the tutorials. | {
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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
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```python
def test_object_factorize_dropna(
self, data, dropna, expected_codes, expected_uniques
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from the new arm64 job, but indicative of general slowness: https://travis-ci.org/github/pandas-dev/pandas/jobs/685955999
- let's make these much faster
- we can still mark some as `slow` if needed
- let's change the https://github.com/pandas-dev/pandas/blob/master/ci/run_tests.sh#L23, `durations` t... | {
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xref #31566
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---
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```python
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- [x] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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As discussed in #34123
let's revert this PR34081 first since it has potentially big impact on some cases in ops.
cc @jbrockmendel @jorisvandenbossche | {
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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
s... | {
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Level sorting does not seem to work on the output of an align between two DataFrames when
- you align on multi-index
- you align on left dataframe
- left dataframe columns are lexsorted
- right dataframe contains an extra-level compares to the left one
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Video Call: https://zoom.us/j/942410248
Minutes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?o... | {
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This will allow us to start moving other BaseOffset subclasses up into liboffsets without having to get DateOffset (which will be one of the trickiest) first. | {
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As suggested in #30641 , adding an issue on moving ARM64 build from allow_failures tag in Travis-CI. | {
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- (many instances) E741:ambiguous variable name 'l'
- (many instances) F541:f-string is missing placeholders
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Here the o... | {
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This handles multiple issues:
- flake8 >= 3.8.1 introduces a new version of pycodestyle which introduces
extra checking
- flake8-rst is broken with the newest version of flake8
- See kataev/flake8-rst#22
A follow-up PR handling the first of these is forth-coming | {
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This partially addresses the above issue by:
- Ignoring E741
- Fixing other linting errors
The issue with flake8-rst is handled temporarily in #34151, and the build here will fail the flake8-rst part until that is merged in. | {
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] | closed | false | null | [] | null | 7 | 2020-05-13T09:50:56Z | 2020-08-21T17:05:38Z | 2020-05-13T11:19:33Z | NONE | null | #### Is your feature request related to a problem?
Yes. The problem is that many use cases require specifying a numeric row range (say, the 10th - 20th rows) and a name-based column range (columns "timestamp" and "value").
As of now, the most consistent way to solve it is:
```python
df.loc[df.index[start_val:... | {
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- [x] passes `black pandas` | {
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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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I am obliged to use Python 2.7.6 and pandas below 0.24.2.
The only thing I am trying to do as for now is 'import pandas'.
And I keep getting the error below. I have checked online and tslib was fixed in new versions but I have to stay on 2.7.6.
I have already tried pip uninstall and pip install again.
... | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
```python
def condition(index):
# Complex opera... | {
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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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My approach is to use the base `Index` class for this (and not a custom subclass):
- We use a similar approach for Series, which can also hold either ndarray or EA as underlying valu... | {
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- [N] I have confirmed this bug exists on the latest version of pandas.
- [N] (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/34162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34162/events | https://github.com/pandas-dev/pandas/issues/34162 | 617,682,151 | MDU6SXNzdWU2MTc2ODIxNTE= | 34,162 | BUG: Performance regression in categorical indexer | {
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Apologies if it has been, there are a few issues that may be related, in particular
https://github.com/pandas-dev/pandas/issues/33924
https://github.com/pandas-dev/pandas/issues/28122
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cc @jbrockmendel | {
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"de... | open | false | null | [] | null | 2 | 2020-05-13T21:47:26Z | 2021-08-07T06:03:41Z | null | NONE | null | Versions:
pandas 1.0.3
numpy 1.18.1
There is a bug in the 1.XXX pandas release that does not allow you to group by a categorical interval index column together with another column.
```
import numpy as np
import pandas as pd
pd.set_option("use_inf_as_na",True)
t = pd.DataFrame({"x":np.random.randn(100), 'w':... | {
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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
pandas.te... | {
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Doing operations with decimal types is currently very slow, since pandas stores them as python Decimal objects. I think it would be nice to have a high-performance, vectorized DecimalArray ExtensionArray type. Would you be open to a PR adding a type like this, or is... | {
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Within this legacy file we have the substring (sub-bytes?)
`blob = b"ccopy_reg\n_reconstructor\np1\n(cpandas.tseries.offsets\nBusinessDay\np2\nc__builtin__\nobject\np3\nNtRp4\n(dp5\nS'normalize'\np6\nI00\ns... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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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.
---
```python
import pandas as pd
df = pd.DataFrame(
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fix test_s3_roundtrip failure on branch 1.0.x https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=35271&view=logs&j=98c84d08-34d8-513e-80be-2c581992dd5a&t=f75024c1-aff0-57fb-4f0e-35923b654e09 | {
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```python
df = pd.concat([
pd.Series(dtype=float),
pd.Series(index=[pd.Timestamp('2020-01-01T00:00:00+00:00')], data=0, dtype=float)],
axis=1)
>>> df
0 1
2020-01-01 00:00:00+00:00 NaN 0.0
```
```python
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- [x] closes #21793 | {
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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.
---
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```python
>>> cat = pd.Categorical(["a"] * 1_000_000 + ["b"] * 1_000_000)
>>> ser = pd.Series(cat)
>>> %timeit ser.groupby(cat).first()
210 ms ± 3.03 ms per loop # master
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This PR will be able to finally close 30486 in my opinion (even a little beyond the scope ^^), and after this, all classes adhered to Base in `tests/window` folder is removed.
Although the PR is huge, it actually is quite simple, basically it does:
1. Turn needed data from `_create_data()` in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34180/events | https://github.com/pandas-dev/pandas/issues/34180 | 618,508,999 | MDU6SXNzdWU2MTg1MDg5OTk= | 34,180 | BUG: Index formed with list of tuples return wrong output in eq ops | {
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Currently
```python
>>> pd.Index([('a', 'b'), ('b', 'c'), ('c', 'a')]) == ('c', 'a')
>>> array([False, False, False])
```
The issue is such case is treated as a MultiIndex other than plain Index.
Expected:
```python
>>> pd.Index([('a', 'b'), ('b', 'c'), ('c', 'a')]) == ('c', 'a')
>>> array([... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34181 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34181/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34181/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34181/events | https://github.com/pandas-dev/pandas/pull/34181 | 618,520,078 | MDExOlB1bGxSZXF1ZXN0NDE4MjMzNjE3 | 34,181 | REF: inherit BaseOffset in BusinessMixin | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34182/events | https://github.com/pandas-dev/pandas/pull/34182 | 618,524,059 | MDExOlB1bGxSZXF1ZXN0NDE4MjM2OTQ1 | 34,182 | TST: add explicit csr explicit zero tests for GH28992 | {
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- [ ] closes #xxxx
- [*] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | fl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34183/events | https://github.com/pandas-dev/pandas/pull/34183 | 618,536,933 | MDExOlB1bGxSZXF1ZXN0NDE4MjQ3NTMz | 34,183 | BUG/ENH: Fix apply to only call `func` once on the first column/row | {
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closes #30815
closes #31620
- [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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- [x] I have confirmed this bug exists on the latest version of pandas.
---
```python
from decimal import Decimal
df = pd.DataFrame({'col_1': [Decimal(1.5), Decimal(4.0)], 'col_2': [5.0, 10.0]})
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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 datetime
import pa... | {
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For `_reduce`, everything was the same, BooleanArray just has an additional check for `any` and `all`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34188 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34188/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34188/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34188/events | https://github.com/pandas-dev/pandas/issues/34188 | 618,996,352 | MDU6SXNzdWU2MTg5OTYzNTI= | 34,188 | BUG: pandas.read_excel creates a DataFrame with incorrect multi-level columns | {
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... | 3 | 2020-05-15T14:12:20Z | 2021-08-07T06:06:48Z | 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/34189 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34189/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34189/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34189/events | https://github.com/pandas-dev/pandas/issues/34189 | 619,002,225 | MDU6SXNzdWU2MTkwMDIyMjU= | 34,189 | BUG: dt.round affects data other than target series | {
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From the below experiment you can see dt.round unexpectedly affects non target data. Is this expected behavior?
```python
from datetime import datetime
import pandas as pd
def test_rounding_affects_other_frames():
dt = datetime.today()
s = pd.Series([dt], dtype='datetime64[ns]', nam... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34190/events | https://github.com/pandas-dev/pandas/pull/34190 | 619,009,679 | MDExOlB1bGxSZXF1ZXN0NDE4NjI2OTQy | 34,190 | Backport PR #33983 on branch 1.0.x (BUG: Use args and kwargs in Rolling.apply) | {
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fixes regression in 1.0.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34191 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34191/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34191/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34191/events | https://github.com/pandas-dev/pandas/issues/34191 | 619,065,807 | MDU6SXNzdWU2MTkwNjU4MDc= | 34,191 | DEPR: deprecate Index.__getitem__ with float key | {
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Numpy does (no longer) allow this:
```
In [1]: a = np.array([1, 2, 3])
In [3]: a[0.0]
---------------------------------------------------------------------------
IndexError Tra... | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This PR fixes pereformance regression after commit `dec736f3f` by removing unnecessary copies if `key=None` in sorting functions.
```
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Closes #34191 | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/34197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34197/events | https://github.com/pandas-dev/pandas/issues/34197 | 619,214,524 | MDU6SXNzdWU2MTkyMTQ1MjQ= | 34,197 | ENH: implement efficient sorting methods for SparseArray (argsort/argmin/argmax) | {
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... | 0 | 2020-05-15T20:08:19Z | 2020-05-15T20:08:19Z | null | MEMBER | null | xref https://github.com/pandas-dev/pandas/pull/27801#discussion_r426017444
`SparseArray` currently does not implement `_values_for_argsort` or `argsort/`argmin`/`argmax` itself, which means it is using the base implementation, which converts the sparse array to a dense numpy array. Room for improvements thus. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34198/events | https://github.com/pandas-dev/pandas/pull/34198 | 619,222,579 | MDExOlB1bGxSZXF1ZXN0NDE4Nzg5NDcw | 34,198 | CLN: let Index use general concat machinery - remove Index._concat_same_dtype | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-05-15T20:20:25Z | 2020-05-18T06:42:04Z | 2020-05-17T22:13:09Z | MEMBER | null | Following up on the recent changes in the `concat_compat` machinery (to use the `_get_common_dtype` protocol for EAs), we can also use this in the Index class.
Doing this also makes the `_concat_same_dtype` method unnecessary (as this is handled in `concat_compat` to use `EA._concat_same_type` when appropriate)
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34199/events | https://github.com/pandas-dev/pandas/pull/34199 | 619,227,057 | MDExOlB1bGxSZXF1ZXN0NDE4NzkyODg1 | 34,199 | PERF: Fixes performance regression in DataFrame[bool_indexer] (#33924) | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Insted of calling `construction.array` in `check_array_indexer`, creates array with `dtype=bool` before calling `check_array_indexer`.
Fixes performance ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34200/events | https://github.com/pandas-dev/pandas/pull/34200 | 619,261,561 | MDExOlB1bGxSZXF1ZXN0NDE4ODIyNzQ0 | 34,200 | CLN/TYP: Groupby agg methods | {
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This takes care of the comment in #34178 about staticmethod. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34201/events | https://github.com/pandas-dev/pandas/pull/34201 | 619,270,637 | MDExOlB1bGxSZXF1ZXN0NDE4ODMwNTkw | 34,201 | ENH: Implement __iter__ for Rolling and Expanding | {
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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/34202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34202/events | https://github.com/pandas-dev/pandas/pull/34202 | 619,307,310 | MDExOlB1bGxSZXF1ZXN0NDE4ODYyNzU2 | 34,202 | REF: de-duplicate methods calling get_dst_info | {
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```
def do_thing_vectorized(values, tz):
if is_utc(tz):
for i in range(n):
local_val = values[n]
do_thing(local_val)
elif is_tzlocal(tz);
for i in range(n):
local_val = get_local_val_for_tzloca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34203/events | https://github.com/pandas-dev/pandas/pull/34203 | 619,338,949 | MDExOlB1bGxSZXF1ZXN0NDE4ODg3NjQz | 34,203 | REF: move get_freq_group to libfreqs, de-duplicate with Resolution.get_freq_group | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34204/events | https://github.com/pandas-dev/pandas/issues/34204 | 619,348,834 | MDU6SXNzdWU2MTkzNDg4MzQ= | 34,204 | BUG: stacked histogram on datetimes | {
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I think this would be really useful, especially when used with groupby. For exemple when you want the most recent yearly published data for an entity - say a company.
We could simply ad... | {
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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
df = pd.DataFrame({'x': [flo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34207/events | https://github.com/pandas-dev/pandas/pull/34207 | 619,458,830 | MDExOlB1bGxSZXF1ZXN0NDE4OTU5NTY2 | 34,207 | TYP: add return types to read_sql|read_sql_query|read_sql_table | {
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I'd like to take on the other pd.read_* functions in follow-ups. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34208/events | https://github.com/pandas-dev/pandas/pull/34208 | 619,477,047 | MDExOlB1bGxSZXF1ZXN0NDE4OTY5NDM5 | 34,208 | Restrict Pandas merge suffixes param type to list/tuple to avoid interchange in right and left suffix order | {
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- [x] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/34209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34209/events | https://github.com/pandas-dev/pandas/pull/34209 | 619,488,747 | MDExOlB1bGxSZXF1ZXN0NDE4OTc2MjU4 | 34,209 | Eliminated the skipna / dropna inconsistency in the docs. | {
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As @bf mentioned in the comments under the issue #34063 ,
There are errors in the docs for Dataframe.mode, https://pandas.pydata.org/pandasdocs/dev/reference/api/pandas.DataFrame.mode.html (See source : https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L8722-L8807) , where the dropna parameter... | {
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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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- [ ] use conditional nogil e.g. [here](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/algos.pyx#L901)
- [ ] change labels.shape[0] -> len(labels) e.g. groupbyL965
- [ ] update `searchsorted` usages to use fixed [cython](https://github.com/cython/cython/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34214/events | https://github.com/pandas-dev/pandas/pull/34214 | 619,530,844 | MDExOlB1bGxSZXF1ZXN0NDE5MDA1NjQ1 | 34,214 | PERF: faster indexing for non-fastpath groupby ops | {
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Performance comparisons are done by disabling fast_apply entirely and taking the two most-affected asvs:
```
import numpy as np
from pandas import DataFrame
N = 10 ** 4
labels = np.... | {
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