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https://api.github.com/repos/pandas-dev/pandas/issues/33917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33917/events | https://github.com/pandas-dev/pandas/issues/33917 | 610,751,068 | MDU6SXNzdWU2MTA3NTEwNjg= | 33,917 | Performance regression in timeseries.SortIndex.time_sort_index | {
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import pandas as pd
import numpy as np
N = 10 ** 5
idx = pd.date_range(start="1/1/2000", periods=N, freq="s")
s = pd.Series(np.random.randn(N), index=idx)
%timeit s.sort_index()
```
```
# 1.0.2
108 µs ± 8.27 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
# master
225 µs ± 8.36 µs p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33918/events | https://github.com/pandas-dev/pandas/issues/33918 | 610,753,950 | MDU6SXNzdWU2MTA3NTM5NTA= | 33,918 | Performance regression in timeseries.DatetimeIndex.time_get | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-05-01T13:35:09Z | 2020-07-02T21:05:05Z | 2020-07-02T21:05:05Z | CONTRIBUTOR | null | ```python
import pandas as pd
import numpy as np
N = 100000
index = pd.date_range(start="2000", periods=N, freq="s", tz="US/Eastern")
%timeit index[0]
```
```
# pandas 1.0.2
12 µs ± 292 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
# master
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https://api.github.com/repos/pandas-dev/pandas/issues/33919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33919/events | https://github.com/pandas-dev/pandas/issues/33919 | 610,759,575 | MDU6SXNzdWU2MTA3NTk1NzU= | 33,919 | Performance regression in gil.ParallelDatetimeFields.time_period_to_datetime | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2020-05-01T13:47:36Z | 2020-07-09T22:08:17Z | 2020-07-09T22:08:17Z | CONTRIBUTOR | null | ```python
import pandas as pd
import numpy as np
from pandas._testing import test_parallel
N = 10 ** 6
dti = pd.date_range("1900-01-01", periods=N, freq="T")
period = dti.to_period("D")
@test_parallel(num_threads=2)
def run(period):
period.to_timestamp()
%timeit run(period)
```
```
# 1.0.2
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https://api.github.com/repos/pandas-dev/pandas/issues/33920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33920/events | https://github.com/pandas-dev/pandas/issues/33920 | 610,800,542 | MDU6SXNzdWU2MTA4MDA1NDI= | 33,920 | Performance regression in replace.ReplaceDict.time_replace_series | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2020-05-01T15:11:41Z | 2020-07-15T12:27:22Z | 2020-07-15T12:27:22Z | CONTRIBUTOR | null | Setup
```python
import pandas as pd
import numpy as np
inplace = False
N = 10 ** 5
start_value = 10 ** 5
to_rep = dict(enumerate(np.arange(N) + start_value))
s = pd.Series(np.random.randint(N, size=10 ** 3))
%timeit s.replace(to_rep, inplace=inplace)
```
```
# 1.0.2
2.48 s ± 53.7 ms per loop (m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33921/events | https://github.com/pandas-dev/pandas/issues/33921 | 610,805,370 | MDU6SXNzdWU2MTA4MDUzNzA= | 33,921 | Performance regression in reshape.Cut.time_qcut_timedelta | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-05-01T15:21:00Z | 2020-06-24T22:37:00Z | 2020-06-24T22:37:00Z | CONTRIBUTOR | null | Setup
```python
import numpy as np
import pandas as pd
N = 10 ** 5
bins = 1000
timedelta_series = pd.Series(
np.random.randint(N, size=N), dtype="timedelta64[ns]"
)
%timeit pd.qcut(timedelta_series, bins)
```
```
# 1.0.2
57.7 ms ± 1.13 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
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https://api.github.com/repos/pandas-dev/pandas/issues/33922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33922/events | https://github.com/pandas-dev/pandas/issues/33922 | 610,807,590 | MDU6SXNzdWU2MTA4MDc1OTA= | 33,922 | Unstable time_get_loc benchmark | {
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... | 0 | 2020-05-01T15:25:10Z | 2020-05-01T15:25:10Z | null | CONTRIBUTOR | null | This benchmark regularly jumps between 200 and 800 ms: https://pandas.pydata.org/speed/pandas/index.html#indexing_engines.NumericEngineIndexing.time_get_loc?p-engine_and_dtype=%28%3Cclass+%27pandas._libs.index.Int16Engine%27%3E%2C+%3Cclass+%27numpy.int16%27%3E%29&p-index_type=%27monotonic_incr%27&commits=d04b965f98fa53... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33923/events | https://github.com/pandas-dev/pandas/issues/33923 | 610,811,967 | MDU6SXNzdWU2MTA4MTE5Njc= | 33,923 | Performance regression in Index.union | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2020-05-01T15:33:25Z | 2020-07-07T20:15:44Z | 2020-07-07T20:15:43Z | CONTRIBUTOR | null | Setup
```python
import numpy as np
import pandas as pd
dtype = "datetime"
method = "union"
N = 10 ** 5
left = pd.date_range("1/1/2000", periods=N, freq="T")
right = left[:-1]
%timeit left.union(right)
```
```
# 1.0.2
161 µs ± 7.46 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
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https://api.github.com/repos/pandas-dev/pandas/issues/33924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33924/events | https://github.com/pandas-dev/pandas/issues/33924 | 610,818,026 | MDU6SXNzdWU2MTA4MTgwMjY= | 33,924 | Performance regression in DataFrame[bool_indexer] | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-05-01T15:45:02Z | 2020-06-01T01:42:30Z | 2020-06-01T01:42:30Z | CONTRIBUTOR | null | ```python
import numpy as np
import pandas as pd
idx_dupe = np.array(range(30)) * 99
df = pd.DataFrame(np.random.randn(10000, 5))
bool_indexer = [True] * 5000 + [False] * 5000
%timeit df[np.array(bool_indexer)]
```
```
# 1.0.2
2.58 ms ± 108 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
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- [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/33926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33926/events | https://github.com/pandas-dev/pandas/issues/33926 | 610,862,862 | MDU6SXNzdWU2MTA4NjI4NjI= | 33,926 | Rethink Inlining? | {
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] | open | false | null | [] | null | 1 | 2020-05-01T17:15:42Z | 2020-05-07T20:56:34Z | null | MEMBER | null | ref https://github.com/pandas-dev/pandas/pull/33886#discussion_r418637034
We use the `inline` keyword pretty liberally in our Cython extensions, with the thought that this probably improves performance. However, running GCC with `-Winline` as a flag produces a ton of warnings that we aren't actually inlining things.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33927/events | https://github.com/pandas-dev/pandas/pull/33927 | 610,881,012 | MDExOlB1bGxSZXF1ZXN0NDEyMjMxMTUx | 33,927 | TST/REF: Move static methods out of consistency classes | {
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This one will pave the way for rep... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33928/events | https://github.com/pandas-dev/pandas/issues/33928 | 610,924,963 | MDU6SXNzdWU2MTA5MjQ5NjM= | 33,928 | BUG: Local test fail due to change of botocore error handling | {
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```
pytest pandas/tests/io/parser/test_network.py::TestS3::test_write_s3_csv_fails
```
or
```
pytest pandas/tests/io/parser/test_network.py::TestS3::test_write_s3_parquet_fails
```
will fail
```
FAILED pandas/tests/io/parser/test_network.py::TestS3::test_write_s3_csv_fails - botocore.errorfacto... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33929/events | https://github.com/pandas-dev/pandas/pull/33929 | 610,931,838 | MDExOlB1bGxSZXF1ZXN0NDEyMjcxODgw | 33,929 | BUG: Fix small memory access errors in ujson objToJSON.c | {
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that none of these changes should create any issues (except maybe
on a debug build of python?). But silencing valgrind warnings is
good on its own, to ease possible future debugging using valgrind.
----
NOTE: I removed skipping of `test_astype... | {
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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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... | open | false | null | [] | null | 5 | 2020-05-01T20:33:51Z | 2021-04-28T17:36:20Z | 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.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
america_c... | {
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python3 -m cProfile -o stats2.dat -m pytest pandas/tests/groupby/aggregate/test_numba.py
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Some of the other functions in this file have inaccurate return types, saving that for a separate pass | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33937/events | https://github.com/pandas-dev/pandas/pull/33937 | 611,092,041 | MDExOlB1bGxSZXF1ZXN0NDEyMzg4NjMy | 33,937 | PERF: use fastpaths for is_period_dtype checks | {
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get_loc and get_value methods for IntervalIndex
- [X] closes #31117
- [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/33940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33940/events | https://github.com/pandas-dev/pandas/issues/33940 | 611,137,016 | MDU6SXNzdWU2MTExMzcwMTY= | 33,940 | API: how strict should the equals() method be? | {
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1. Other array-likes are not equivalent, even if they are all equal?
2. But *subclasses* are equival... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33941/events | https://github.com/pandas-dev/pandas/issues/33941 | 611,178,405 | MDU6SXNzdWU2MTExNzg0MDU= | 33,941 | API/BUG: Series.argmin/max with all-NaN data returns -1 ? | {
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Both numpy and pandas raise an error for empty arrays/Series in `argmin` and `argmax`:
```python
>>> pd.Series([], dtype=float).argmin()
...
ValueError: attempt to get argmin of an empty sequence
>>> np.array([], dtype=float... | {
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... | open | false | null | [] | null | 2 | 2020-05-02T15:35:29Z | 2021-08-07T05:38:48Z | null | MEMBER | null | Now we are adding ExtensionArray.argmin/argmax (#24382 / #27801), we also need to decide on its behaviour for nullable / masked arrays.
For the default of `skipna=True`, I think the behaviour is clear (we skip those values, and calculate the argmin/argmax of the remaining values), but we need to decide on the behavio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33943/events | https://github.com/pandas-dev/pandas/pull/33943 | 611,227,931 | MDExOlB1bGxSZXF1ZXN0NDEyNDc2NTUw | 33,943 | TST/REF: Fixturize constant functions in ConsistencyBase | {
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After this one, only constants in `Base` class needs to be fixed (if `Base` is also wanted to be cleaned)
cc @jreback | {
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```sh
conda env create -f environment.yml
```
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```sh
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"followers_url": "https://api.github.com... | 0 | 2020-05-02T23:12:34Z | 2020-11-25T10:59:45Z | 2020-11-14T02:27:33Z | CONTRIBUTOR | null | Once Python 3.9 is released (Oct 2020) as a follow up from https://github.com/pandas-dev/pandas/pull/33505 we can move the builds to conda and to run on Azure.
Note: Use numpy wheels when available current installs from source.
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This PR currently fails two tests on Windows due to int32 vs int64, but I cant' duplicate on my machine.
````
pandas\tests\indexing\test_indexin... | {
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---
#### Code Sample, a copy-pastable example
A short example adjusted from the one... | {
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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... | {
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We go to the old numpy url (docs.scipy.org), and a warning is shown to the user. We should update the target url of our numpy links.
Sphinx builds automatically these links, I guess the ur... | {
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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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- [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.
#### Problem description
While looking at the code, I found this line which I think ... | {
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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. (on 862db6421256, last commit where build works as of 20:42 2020-05-03).
---
**Note**:... | {
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- [x] closes #33956
- [x] closes #12918
- [x] closes #29146
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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.
From commit 14eda5865 onwards an ImportError is thrown:
```python
ImportError: cannot i... | {
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```
In [1]: import pandas as pd
In [2]: from pandas._libs.lib import * ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33962/events | https://github.com/pandas-dev/pandas/pull/33962 | 611,609,631 | MDExOlB1bGxSZXF1ZXN0NDEyNzQyNzY0 | 33,962 | Add nrows to read json. | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Add the nrows to read_json parameter that returns only the required number of json from the line delimited json | {
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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
In [4]: s = pd.Series(['a'... | {
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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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... | closed | false | null | [] | null | 2 | 2020-05-04T11:18:15Z | 2020-05-06T14:17:02Z | 2020-05-06T14:17:02Z | NONE | null | Could support to Plotly Express be directly added within pandas as a iplot submodule?:
https://plotly.com/python/plotly-express/
Thanks! | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33966/events | https://github.com/pandas-dev/pandas/issues/33966 | 611,799,810 | MDU6SXNzdWU2MTE3OTk4MTA= | 33,966 | Feature Request: Create a Global Setting for Enabling numba engine | {
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In pandas.DataFrame.apply, .transform, etc.
Thanks! | {
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First cell:
```python
import pandas as pd
test = pd.read_csv("dump.csv")
```
Second cell:
```python
test
```
Output:
<img width="1114" alt="Screenshot 2020-05-04 at 13 42 52" src="https://user-images.githubusercontent.com/10774221/80962334-284bd980-8e0d-11ea-9d3e-456a112770d4.png">
and ... | {
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I think could backport a few PRs moving the whatsnews and only after a release remove from 1.1 whatsnew on master. This gives us the chance to easily abandon the release at any time. | {
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I'm not against adding support for either of these, but we should do... | {
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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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"descript... | closed | false | null | [] | null | 3 | 2020-05-04T22:50:05Z | 2020-06-13T18:27:39Z | 2020-06-13T18:27:38Z | NONE | null | I am using the below code to merger the multiple CSV files in the folder. The code is working fine for smaller dataset but for bigger data.
As the total number of rows is 51163632 but as a result, in big_frame I am getting only 20883611 rows.
Is there a limit of pandas dataframe to store the values?
big_frame ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33982/events | https://github.com/pandas-dev/pandas/pull/33982 | 612,218,491 | MDExOlB1bGxSZXF1ZXN0NDEzMjI1ODMw | 33,982 | BUG: Handling columns from index_col in _is_potential_multi_index | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/33983 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33983/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33983/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33983/events | https://github.com/pandas-dev/pandas/pull/33983 | 612,244,510 | MDExOlB1bGxSZXF1ZXN0NDEzMjQ2MzIx | 33,983 | BUG: Use args and kwargs in Rolling.apply | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33984/events | https://github.com/pandas-dev/pandas/pull/33984 | 612,246,345 | MDExOlB1bGxSZXF1ZXN0NDEzMjQ3ODQ0 | 33,984 | BUG: Fix Series.update ExtensionArray issue | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33985/events | https://github.com/pandas-dev/pandas/pull/33985 | 612,279,605 | MDExOlB1bGxSZXF1ZXN0NDEzMjcyNjM5 | 33,985 | BUG: fix memory_usage method with deep of StringArray | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33986/events | https://github.com/pandas-dev/pandas/issues/33986 | 612,285,049 | MDU6SXNzdWU2MTIyODUwNDk= | 33,986 | QST: Should list-likes with pd.NA have an inferred nullable dtype if possible? | {
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```python
[ins] In [1]: pd.Series([1, 2, pd.NA]).dtype ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33987/events | https://github.com/pandas-dev/pandas/issues/33987 | 612,285,289 | MDU6SXNzdWU2MTIyODUyODk= | 33,987 | BUG:Cannot write as xlsx to GCS | {
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#### Code Sample, a copy-pastable example
```python
output_path = f"gs://my_bucket/incidents/prediction/{ds}_incidents_result"
[...]
export_app.to_parquet(f"{output_path}.parquet")
export_app.to_excel(f"{output_path}.xlsx")
```
#### Problem description
I want to write the DF as a `.parquet` and a `.... | {
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1. Adding example plots where they were missing from docstrings.
2. Fixing examples that were not formatted to render with
```
.. plot::
:context: close-figs
```
3. Simplifying the syntax of some oddly-written examples.
In some cases, I repli... | {
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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
I have just downloaded fresh mini... | {
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- [x] I have confirmed this bug exists on the latest version of pandas (1.0.3).
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
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- [O ] I have confirmed this bug exists on the latest version of pandas.
- [O ] (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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xref #33462
fixes regression in 1.0.2 (#32800) | {
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"followers_url": "https://api.github.com/users/jre... | 2 | 2020-05-05T13:07:38Z | 2020-10-27T12:49:45Z | 2020-10-27T12:49:45Z | CONTRIBUTOR | null | The test `test_missing_required_dependency` is failing in MacPython/pandas-wheels. https://dev.azure.com/pandas-dev/pandas-wheels/_build/results?buildId=34824&view=logs&j=c0130b29-789d-5a3c-6978-10796a508a7f&t=e120bc6c-1f5e-5a41-8f0a-1d992cd2fbfb.
This has caused issues in the past. It's low priority so for now I'm ... | {
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xref #33761
fixes regression in 1.0.0 (#33256) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34001/events | https://github.com/pandas-dev/pandas/pull/34001 | 612,641,920 | MDExOlB1bGxSZXF1ZXN0NDEzNTQ3ODEx | 34,001 | Backport PR #33629 on branch 1.0.x (BUG: Fix Categorical use_inf_as_n… | {
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xref #33629
fixed regression in 1.0.0 (#33594)
# NOTE: code changes in #33629 not really suitable for backport. | {
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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
from ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34003/events | https://github.com/pandas-dev/pandas/pull/34003 | 612,690,651 | MDExOlB1bGxSZXF1ZXN0NDEzNTg3NDEy | 34,003 | Backport PR #32870 on branch 1.0.x (DOC: Remove latest whatsnew from … | {
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xref #32870 | {
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xref #33292
fixes regression in 1.0.0 #33288 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34008/events | https://github.com/pandas-dev/pandas/pull/34008 | 612,831,972 | MDExOlB1bGxSZXF1ZXN0NDEzNzAxODQ2 | 34,008 | CLN: avoid getattr checks in liboffsets | {
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This _does_ ch... | {
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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
```pytb
In [10]: t = pd.Series([1], inde... | {
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- [X] tests passed, new test added
- [X] passes `black pandas`
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This makes any groupby function that uses _GroupBy._make_wrapper to act on self._obj_with_exclusions rather than self._selected... | {
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closes #26599
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... | 34 | 2020-05-05T22:26:12Z | 2021-09-11T20:17:37Z | 2021-09-11T02:40:37Z | CONTRIBUTOR | null | Need to update the following locations
- [x] _libs/window/aggregations.pyx: `bufarr.data`
- [ ] _libs/reduction.pyx: `chunk.data`
---
https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=34888&view=logs&j=33ccdd52-c922-5ef2-8209-78215e36d994&t=046ffbec-62c2-54e3-e88a-7745f4292bb6&l=457
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