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https://api.github.com/repos/pandas-dev/pandas/issues/28513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28513/events | https://github.com/pandas-dev/pandas/pull/28513 | 495,495,314 | MDExOlB1bGxSZXF1ZXN0MzE5MDMzNDE2 | 28,513 | CLN: dont catch Exception when calling maybe_convert_numeric | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28514/events | https://github.com/pandas-dev/pandas/pull/28514 | 495,504,815 | MDExOlB1bGxSZXF1ZXN0MzE5MDQxMjY1 | 28,514 | TST: suppress 1485 warnings issued by xml parser | {
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```
pandas/tests/io/excel/test_xlrd.py::test_excel_table_sheet_by_index[.xlsm]
/usr/local/lib/python3.7/site-packages/xlrd/xlsx.py:312: PendingDeprecationWarning: This method will be removed in future versions. Use 'tree.iter()' or 'list(tree.iter())' instead.
fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28515/events | https://github.com/pandas-dev/pandas/pull/28515 | 495,516,473 | MDExOlB1bGxSZXF1ZXN0MzE5MDUwNjAz | 28,515 | REF: Parametrize test | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28516/events | https://github.com/pandas-dev/pandas/pull/28516 | 495,619,576 | MDExOlB1bGxSZXF1ZXN0MzE5MTMxMjky | 28,516 | CLN: clean-up internal sparse imports + restructure sparse submodule | {
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While doing this, I was thinking now that for the tests, we could actually also use the top-level `pd.` imports.
@TomAugspurger in the `core/sparse/` module, the only actual code living there is the scipy_spa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28517/events | https://github.com/pandas-dev/pandas/pull/28517 | 495,628,284 | MDExOlB1bGxSZXF1ZXN0MzE5MTM4MzQx | 28,517 | DEV: skip pandas/__init__.py in isort's pre-commit hook | {
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See https://github.com/pre-commit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28518 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28518/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28518/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28518/events | https://github.com/pandas-dev/pandas/issues/28518 | 495,684,381 | MDU6SXNzdWU0OTU2ODQzODE= | 28,518 | merge fails to add suffixes on multiindex columns | {
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```python
import pandas as pd
index_tuples=[]
for word_group in ["a", "b", "c", "d"]:
for correctness in ["1", "2", "3"]:
index_tuples.append([word_group, correctness])
index = pd.MultiIndex.from_tuples(index_tuples, names=["outer", "inner"]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28519 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28519/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28519/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28519/events | https://github.com/pandas-dev/pandas/issues/28519 | 495,688,800 | MDU6SXNzdWU0OTU2ODg4MDA= | 28,519 | WEB: Improve new website styles | {
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{... | open | false | null | [] | null | 2 | 2019-09-19T09:42:56Z | 2019-09-23T15:25:05Z | null | MEMBER | null | The css of the new website needs some care. I think there are two separate things:
- General styles (headers, paragraphs, code blocks...)
- Home page
And I see the next options to move forward:
- We do it ourselves
- The designer donated by Indeed propose a style (send us an image on how the website needs to loo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28520 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28520/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28520/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28520/events | https://github.com/pandas-dev/pandas/issues/28520 | 495,692,853 | MDU6SXNzdWU0OTU2OTI4NTM= | 28,520 | WEB: Content for the footer | {
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Ideas:
- Copyright note
- NumFOCUS note (see Dask website)
- Social media links (GitHub and Twitter I think)
- Back to top link
- Note about sponsors (like the providers of hosting and the design, ... | {
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{... | closed | false | null | [] | null | 2 | 2019-09-19T09:55:07Z | 2021-03-25T12:55:30Z | 2021-03-25T12:55:30Z | MEMBER | null | List of issues that we must have implemented before we're happy to move the new website to production (so far the plan is to deploy the new website when we release pandas 1.0). xref #27870
- [x] New logo
- [ ] Improve home page #28168
- [ ] Fix styles #28519
- [x] Footer with the right content #28520
- [ ] Chang... | {
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] | closed | false | null | [] | null | 3 | 2019-09-19T10:06:12Z | 2021-07-21T04:37:34Z | 2021-07-21T04:37:34Z | NONE | null | #### Sample code
```python
# Your code here
import pandas as pd
import numpy as np
df = pd.DataFrame({'A': [1,2,3,4], 'B': [1,2,3,4]})
df1 = pd.DataFrame({'A': [1,2, 3, 3, 4], 'B': [1,2,3, np.NaN, np.NaN],'C': ['a','b','a','c','d']})
df2=df.merge(df1, on=['A','B'], how='left')
 affects group without assignment | {
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... | 4 | 2019-09-19T10:55:36Z | 2021-03-31T00:58:13Z | 2021-03-31T00:58:13Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar'], 'B' : [1, 2, 3, 4]})
grouped = df.groupby('A')
print(grouped.apply(lambda x: x))
grouped.first()
print(grouped.apply(lambda x: x))
```
Output:
```
A B
0 foo 1
1 bar 2
2 foo ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28524/events | https://github.com/pandas-dev/pandas/pull/28524 | 495,754,753 | MDExOlB1bGxSZXF1ZXN0MzE5MjQwNTM5 | 28,524 | COMPAT: ensure no warnings on tab completion with Jedi 0.15 | {
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"followers_url": "https://api.github.com/us... | 13 | 2019-09-19T12:01:09Z | 2019-09-20T15:56:19Z | 2019-09-20T12:43:54Z | MEMBER | null | Closes https://github.com/pandas-dev/pandas/issues/27900
I didn't yet add any tests, because I am not fully sure how to write them (the IPython tests we already have clearly don't work, I suppose the programmatic `ip.Completer.completions(..)` doesn't go through jedi)
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https://api.github.com/repos/pandas-dev/pandas/issues/28525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28525/events | https://github.com/pandas-dev/pandas/issues/28525 | 495,798,993 | MDU6SXNzdWU0OTU3OTg5OTM= | 28,525 | BUG: groupby quantile fails with multiple quantiles | {
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```python
import pandas as pd
df = pd.DataFrame({'grp': [1, 1, 2, 2],
'x': [1, 2, 3, 4]})
print(df.groupby(['grp']).quantile([.2, .4]))
```
#### Problem description
The quantile aggregation accepts a parameter `q` which which be ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28526/events | https://github.com/pandas-dev/pandas/issues/28526 | 495,815,364 | MDU6SXNzdWU0OTU4MTUzNjQ= | 28,526 | read_excel with opened data set | {
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https://stackoverflow.com/questions/57993351/unicodedecodeerror-cant-decode-byte-solved-by-writing-and-reading-with-panda
Ultimately I would like to use pandas.read_excel on already opened data (without having to save on the disk and re-open).
Tracing it into panda's depth I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28527/events | https://github.com/pandas-dev/pandas/issues/28527 | 495,834,636 | MDU6SXNzdWU0OTU4MzQ2MzY= | 28,527 | Operations between DataFrame and ExtensionArray loses EA dtype | {
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"description": "Unexpected or buggy dtyp... | open | false | null | [] | null | 5 | 2019-09-19T14:25:52Z | 2021-07-21T04:41:46Z | null | CONTRIBUTOR | null | What's the expected behavior here?
```python
In [9]: a = pd.array([1, None, 2, 3], dtype='Int64')
In [10]: df = pd.DataFrame([[1, 2, 3, 4]])
In [11]: (a + df).dtypes
Out[11]:
0 int64
1 float64
2 int64
3 int64
dtype: object
```
Would we expect the eventual op to dispatch to the Exte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28528/events | https://github.com/pandas-dev/pandas/issues/28528 | 495,853,978 | MDU6SXNzdWU0OTU4NTM5Nzg= | 28,528 | WEB: Deployment of the new website in production | {
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What I would do with the new website is next (open to discussion):
- Have a job running to automatically deploy the website from master, possible frequencies:
- Every commit
- Daily
- Weekly
- Build the website normally, a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28529/events | https://github.com/pandas-dev/pandas/pull/28529 | 495,858,744 | MDExOlB1bGxSZXF1ZXN0MzE5MzI0OTM2 | 28,529 | WEB: Fix deployment of the website | {
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"description": ... | closed | false | null | [] | null | 0 | 2019-09-19T15:03:22Z | 2019-09-19T15:58:39Z | 2019-09-19T15:58:39Z | MEMBER | null | The master build is broken [1], because one directory wasn't updated in #28497 (the step only runs in master builds and not PR builds, so couldn't be detected).
This updates the directory, the deployment should work again.
1. https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=17721 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28531/events | https://github.com/pandas-dev/pandas/pull/28531 | 495,876,436 | MDExOlB1bGxSZXF1ZXN0MzE5MzM5MzYy | 28,531 | TST: Call tests just once with --dist=loadscope | {
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This PR makes a single call, and tests in the same scope (class or module) are granted to run in the same core, so no shared data problems sh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28532/events | https://github.com/pandas-dev/pandas/pull/28532 | 495,928,659 | MDExOlB1bGxSZXF1ZXN0MzE5MzgyMTUx | 28,532 | CLN+TST: Catch specific exception in equals | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28533 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28533/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28533/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28533/events | https://github.com/pandas-dev/pandas/pull/28533 | 495,939,368 | MDExOlB1bGxSZXF1ZXN0MzE5MzkwOTU3 | 28,533 | TST: Add astype_nansafe datetime tests | {
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```
arr
# array(['2018-01-01'], dtype='datetime64[D]')
arr.view(np.int32) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28534 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28534/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28534/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28534/events | https://github.com/pandas-dev/pandas/pull/28534 | 495,988,534 | MDExOlB1bGxSZXF1ZXN0MzE5NDMxNTQy | 28,534 | Pandas.io.formats.style.Styler.pipe docstring PR02 | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-09-19T19:36:21Z | 2019-09-20T15:52:13Z | 2019-09-20T15:52:13Z | CONTRIBUTOR | null | Solves:
- Unknown parameters {*args, **kwargs :}
pandas.io.formats.style.Styler.pipe: Unknown parameters {*args, **kwargs :} in #27976
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https://api.github.com/repos/pandas-dev/pandas/issues/28535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28535/events | https://github.com/pandas-dev/pandas/pull/28535 | 495,995,123 | MDExOlB1bGxSZXF1ZXN0MzE5NDM2ODM5 | 28,535 | Pandas.io.formats.style.Styler.apply docstring PR02 | {
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- Unknown parameters {kwargs}
pandas.io.formats.style.Styler.apply: Unknown parameters {kwargs} in #27976 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28536/events | https://github.com/pandas-dev/pandas/issues/28536 | 495,997,377 | MDU6SXNzdWU0OTU5OTczNzc= | 28,536 | Pip installation instruction wrong on Pandas homepage | {
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`python -m pip install –upgrade pandas`
The double hyphen in front of `upgrade` got converted to `'\u2013'` and pasting that into a terminal does not work. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28537/events | https://github.com/pandas-dev/pandas/pull/28537 | 496,000,037 | MDExOlB1bGxSZXF1ZXN0MzE5NDQwODg2 | 28,537 | REF: Parametrize value_counts tests | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2019-09-19T20:03:19Z | 2019-09-20T14:42:03Z | 2019-09-20T14:27:59Z | MEMBER | null | Parametrizes the for loop in `test_series_groupby_value_counts`. As a side note, this test seems to run for a pretty long time (a minute and a half); should it operate on less data perhaps? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28538 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28538/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28538/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28538/events | https://github.com/pandas-dev/pandas/issues/28538 | 496,006,815 | MDU6SXNzdWU0OTYwMDY4MTU= | 28,538 | pd.Series.to_string(index=False) behavior changed to include leading spaces | {
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On `0.23.0`
```
In [10]: s=pd.Series(['a','b','c'])
: s.to_string(index=False)
Out[10]: 'a\nb\nc'
```
On `0.25.0`
```
In [2]: s=pd.Series(['a','b','c'])
: s.to_string(index=False)
Out[2]: ' a\n b\n c'
```
Particularly strange with a series ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28539 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28539/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28539/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28539/events | https://github.com/pandas-dev/pandas/pull/28539 | 496,010,056 | MDExOlB1bGxSZXF1ZXN0MzE5NDQ5MTUy | 28,539 | Pandas.io.formats.style.Styler docstring PR02 | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-09-19T20:27:30Z | 2019-09-20T12:46:28Z | 2019-09-20T12:45:27Z | CONTRIBUTOR | null | Solves:
- Unknown parameters {kwargs} in apply method in Styler class
- Unknown parameters {kwargs} in applymap method in Styler class
- Unknown parameters {kwargs} in where method in Styler class
- Unknown parameters {low, high} in background_gradient method in Styler class
- Unknown parameters {kwargs} in set... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28540 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28540/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28540/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28540/events | https://github.com/pandas-dev/pandas/pull/28540 | 496,012,777 | MDExOlB1bGxSZXF1ZXN0MzE5NDUxMzU3 | 28,540 | Pivot nans fix | {
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"de... | closed | false | null | [] | null | 8 | 2019-09-19T20:33:41Z | 2019-12-18T11:16:38Z | 2019-12-17T17:39:34Z | CONTRIBUTOR | null | this gets the ball rolling on #18030 as it is very easy to fix, but requires some decisions, mostly for structure and naming
the basic options as I see them:
0 - this PR as is (maybe some name change to this 26 character monster)
1 - Outright changing the `dropna=False` default behavior I thought would be a ba... | {
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] | closed | false | null | [] | null | 15 | 2019-09-19T20:38:54Z | 2020-03-14T21:48:38Z | 2020-03-14T21:48:38Z | CONTRIBUTOR | null | - [x] closes #28523
- [ ] 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] closes #28250
- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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In the deployment of the new website, when building the web, the target default path `build` is not working as expected. The path is later expected to be `web/build`, but since the script is called from the root and not from inside... | {
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Adds a code_check to make sure we aren't catching BaseException anywhere. BaseException includes KeyboardInterrupt, which we shouldn't be catching in general.
Saving parametrization in test_nanops for a separate... | {
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If I'm not missing anything, there are few challenges:
- The number of jobs (I think we should get 10 extra concurrent jobs in Azure, since the CI is ok but will be too slow)
- Setting up databases in Azure (I think we currently set u... | {
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... | 24 | 2019-09-20T03:21:10Z | 2021-02-02T02:29:20Z | 2021-02-02T02:29:20Z | MEMBER | null | Right now if you don't have `xlrd` installed and use `read_excel` without specifying the `engine` keyword you get the following message:
```python-traceback
>>> pd.read_excel("test.xlsx")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/williamayd/.pyenv/versions/3.7.2/lib/... | {
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Considering that I think we need to ... | {
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This used to work fine with pandas also in the past, but now I noticed that wildcard search is broken, and that tab complet... | {
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... | 2 | 2019-09-20T15:49:23Z | 2020-05-22T03:37:21Z | null | CONTRIBUTOR | null | Discovered while fixing an issue in #28541
A large number of tests relating to `DataFrameGroupBy.apply` depend on a bug in `apply` where the grouped column is not removed from the returned DataFrame.
Here are some examples:
- [`test_apply_chunk_view`](https://github.com/pandas-dev/pandas/blob/4edf938aedf55b9e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28550 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28550/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28550/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28550/events | https://github.com/pandas-dev/pandas/pull/28550 | 496,428,763 | MDExOlB1bGxSZXF1ZXN0MzE5Nzg0MTAx | 28,550 | Backport PR #28524: COMPAT: ensure no warnings on tab completion with Jedi 0.15 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28551 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28551/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28551/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28551/events | https://github.com/pandas-dev/pandas/issues/28551 | 496,431,160 | MDU6SXNzdWU0OTY0MzExNjA= | 28,551 | sns.heatmap fails with OptionError: "No such keys(s): 'compute.use_numexpr'" | {
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```
OptionError Traceback (most recent call last)
<ipython-input-157-342bfcd26ea6> in <module>()
----> 1 plot_confusion_matrix(y_test, predicted_y)
<ipython-input-156-5c1d0cc2db4c> in plot_confusion_matri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28552 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28552/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28552/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28552/events | https://github.com/pandas-dev/pandas/issues/28552 | 496,446,021 | MDU6SXNzdWU0OTY0NDYwMjE= | 28,552 | DataFrame[list[Series[datetime64ns, tz]]] drops timezone information | {
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```
s = pd.Series([pd.to_datetime('2018-10-08 13:36:45+00:00')])
Output:
0 2018-10-08 13:36:45+00:00
dtype: datetime64[ns, UTC]
```
```
pd.DataFrame([s]).min()
Output:
0 2018-10-08 13:36:45
dtype: datetime64[ns]
```
#### Problem descri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28554 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28554/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28554/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28554/events | https://github.com/pandas-dev/pandas/pull/28554 | 496,548,190 | MDExOlB1bGxSZXF1ZXN0MzE5ODgxNTMz | 28,554 | [BUG] Fixed behavior of DataFrameGroupBy.apply to respect _group_selection_context | {
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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
There were lots of inconsistencies among tests about whether or not `apply` should return the grouper column(s), and almost no testing on the impac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28555 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28555/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28555/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28555/events | https://github.com/pandas-dev/pandas/issues/28555 | 496,588,463 | MDU6SXNzdWU0OTY1ODg0NjM= | 28,555 | Create helper function in pandas/tests/io/json/test_pandas.py | {
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... | 6 | 2019-09-21T00:04:56Z | 2019-09-27T22:47:24Z | 2019-09-27T22:47:24Z | MEMBER | null | A lot of the tests in that module repeat the following pattern:
```python
if orient == "records" or orient == "values":
expected = expected.reset_index(drop=True)
if orient == "values":
expected.columns = range(len(expected.columns))
assert_frame_equal(result, expected)
```
This is because the `re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28556 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28556/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28556/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28556/events | https://github.com/pandas-dev/pandas/issues/28556 | 496,589,845 | MDU6SXNzdWU0OTY1ODk4NDU= | 28,556 | pd.read_json May Not Maintain Numeric String Index | {
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>>> df = pd.DataFrame(range(3), index=list("123"))
>>> df.to_json(orient="split")
'{"columns":[0],"index":["1","2","3"],"data":[[0],[1],[2]]}'
>>> pd.read_json(df.to_json(orient="split"), orient="split").index
Int64Index([1, 2, 3], dtype='int64')
```
Note that the string nature of the values should b... | {
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... | 4 | 2019-09-21T00:26:07Z | 2019-10-09T14:50:46Z | 2019-10-09T14:50:46Z | MEMBER | null | Note that the order of input is not maintained with orient="index"
```python
>>> df = pd.DataFrame(range(3), index=range(3, 0, -1))
>>> df
0
3 0
2 1
1 2
>>> df.to_json(orient="index")
'{"3":{"0":0},"2":{"0":1},"1":{"0":2}}'
>>> pd.read_json(df.to_json(orient="index"), orient="index")
0
1 2
2 1... | {
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Note the index types for an empty data frame
```python
>>> df = pd.DataFrame()
>>> df.index
Index([], dtype=... | {
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] | closed | false | null | [] | null | 1 | 2019-09-21T00:38:38Z | 2020-01-09T03:34:38Z | 2020-01-09T03:34:38Z | MEMBER | null | Another edge case revealed in #28510 . Perhaps won't be relvant if we go through with #28512 but opening for posterity
For whatever reason, this particular combination of values produces a RangeIndex for the columns.
```python
>>> pd.read_json("[]", orient="values", numpy=True).columns
RangeIndex(start=0, stop=... | {
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"color": "207... | closed | false | null | [] | null | 1 | 2019-09-21T00:43:55Z | 2020-01-09T03:34:30Z | 2020-01-09T03:34:30Z | MEMBER | null | I don't have access to a PC so cannot replicate directly (if anyone else can would be appreciated) but going through #28510 there were a few Windows with dtype preservation, which would look something as follows:
```python
>>> df = pd.DataFrame(range(3))
>>> df.dtypes
0 int64
dtype: object
>>> pd.read_json(d... | {
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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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... | closed | false | null | [] | null | 6 | 2019-09-22T01:50:38Z | 2021-07-21T04:46:13Z | 2021-07-21T04:46:12Z | NONE | null | #### Brief Description
I'm getting a KeyError when trying to access a row by string in a DateTimeIndex. This only happens if I use 'YYYY-MM-DD HH:MM:SS' format. If I use 'YYYY-MM-DD' it works. Also if I add another element before accessing using the more complete format the exception vanishes. This will get more clear... | {
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- No tests required
- The data frame.plot methods now have the docstring arguments updated from **kwds to **kwargs to match the method signature and exclude them from the PR02 errors:
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For example, after a rather heated discussion in #24046, @wesm [asked](https://github.com/pandas-dev/pandas/issues/24046#issuecomment-515492965):
> I question whether GitHub issues was the appropriate ... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-09-22T18:14:59Z | 2020-01-18T00:29:08Z | 2019-10-03T17:25:04Z | CONTRIBUTOR | null | - [x] closes #28247
- [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/28570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28570/events | https://github.com/pandas-dev/pandas/issues/28570 | 496,826,511 | MDU6SXNzdWU0OTY4MjY1MTE= | 28,570 | Groupby Agg not working if different partials with same name on the same column | {
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from functools import partial
import pandas as pd
import numpy as np
quant50 = partial(np.percentile, q=50)
quant70 = partial(np.percentile, q=70)
test = pd.DataFrame({'col1': ['a', 'a', 'b', 'b', 'b'], 'col2': [1,2,3,4,5]})
test.groupby('col1').agg({'col2': [quant50, q... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28571/events | https://github.com/pandas-dev/pandas/pull/28571 | 496,848,141 | MDExOlB1bGxSZXF1ZXN0MzIwMDkzODg4 | 28,571 | DOC: Fixed PR08 docstring errors in pandas.tseries | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-09-22T23:41:47Z | 2019-10-01T18:51:29Z | 2019-10-01T04:08:13Z | CONTRIBUTOR | null | This relates to: [27977](https://github.com/pandas-dev/pandas/issues/27977). I have fixed the doc PR08 formatting issues for:
```
pandas.tseries.offsets.CustomBusinessDay: Parameter "weekmask" description should start with a capital letter
pandas.tseries.offsets.CustomBusinessDay: Parameter "holidays" description ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28572 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28572/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28572/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28572/events | https://github.com/pandas-dev/pandas/issues/28572 | 496,860,676 | MDU6SXNzdWU0OTY4NjA2NzY= | 28,572 | Groupby behaviour of missing zeros | {
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I wish to get the number of sales for each month, even when the product is missing sales figures for a certain period. Consider the following example:
```python
import pandas as pd
import numpy as np
np.random.seed(42)
dates = pd.date_range('1/1/2001','31/12/2001', freq = 'd')
sales = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28573 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28573/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28573/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28573/events | https://github.com/pandas-dev/pandas/pull/28573 | 496,867,501 | MDExOlB1bGxSZXF1ZXN0MzIwMTA4NDIx | 28,573 | BUG: Preserve subclassing with groupby operations | {
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- [x] closes #28330
- [x] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/28575 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28575/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28575/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28575/events | https://github.com/pandas-dev/pandas/pull/28575 | 496,925,921 | MDExOlB1bGxSZXF1ZXN0MzIwMTU1MDI5 | 28,575 | [WIP] Annotate DataFrame (Part 3) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28576/events | https://github.com/pandas-dev/pandas/issues/28576 | 496,929,332 | MDU6SXNzdWU0OTY5MjkzMzI= | 28,576 | Cannot parse query for df.query() with column name containing parenthesis. | {
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```python
import pandas as pd
a = {'abc':[1,2,3],'xy (z)':[4,5,6]}
df = pd.DataFrame(a)
query = "`xy (z)` == 2"
new_df = df.query(query)
```
#### Error :
xy_(_z_)_BACKTICK_QUOTED_STRING ==2
SyntaxError: invalid syntax
#### Problem description
df.query is not able to parse the qu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28578 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28578/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28578/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28578/events | https://github.com/pandas-dev/pandas/issues/28578 | 497,136,128 | MDU6SXNzdWU0OTcxMzYxMjg= | 28,578 | Feature Request: Left join conditionally on timestamps in pd.merge_asof(…) | {
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See this post on stack overflow: https://stackoverflow.com/questions/57825101/left-join-conditionally-on-timestamps-in-pd-merge-asof.
Lets say I have two dataframes that I would like l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28579/events | https://github.com/pandas-dev/pandas/pull/28579 | 497,144,836 | MDExOlB1bGxSZXF1ZXN0MzIwMzMyODM4 | 28,579 | Fix typo | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2019-09-23T14:47:24Z | 2019-09-23T22:05:02Z | 2019-09-23T15:21:25Z | CONTRIBUTOR | null | - [ ] 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/28580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28580/events | https://github.com/pandas-dev/pandas/issues/28580 | 497,193,778 | MDU6SXNzdWU0OTcxOTM3Nzg= | 28,580 | WEB/DOC: integration of the main website and documentation | {
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... | open | false | null | [] | null | 10 | 2019-09-23T16:10:58Z | 2019-11-01T20:27:50Z | null | MEMBER | null | With the new markdown based website (https://github.com/pandas-dev/pandas/pull/28014) and the new sphinx documentation theme (https://github.com/pandas-dev/pandas/issues/15556, https://dev.pandas.io/pandas-sphinx-theme/), we need to see how to integrate both.
Roughly speaking, I can currently think of three options... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28581 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28581/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28581/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28581/events | https://github.com/pandas-dev/pandas/issues/28581 | 497,224,856 | MDU6SXNzdWU0OTcyMjQ4NTY= | 28,581 | Inconsistent SettingWithCopyWarning | {
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"color": "f2... | closed | false | null | [] | null | 1 | 2019-09-23T17:17:43Z | 2021-07-21T04:53:33Z | 2021-07-21T04:53:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import os, io, math
import numpy as np, pandas as pd
performance_df = pd.DataFrame()
performance_df["GAP"] = np.random.randn(75)
performance_df["SETTINGS"] = [['default', 'MLrank', 'MLselect'][int(i/25)] for i in range(75)]
performance_df["INSTANCE_NA... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28582 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28582/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28582/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28582/events | https://github.com/pandas-dev/pandas/pull/28582 | 497,258,454 | MDExOlB1bGxSZXF1ZXN0MzIwNDI0Mjky | 28,582 | WEB: Restructuring pages and navigation, styling and new footer | {
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] | closed | false | null | [] | null | 12 | 2019-09-23T18:33:21Z | 2019-09-26T13:22:31Z | 2019-09-26T06:42:27Z | MEMBER | null | xref #28519
closes #28520
You can see the result rendered in: https://datapythonista.github.io/pandas-web/ (the new logo is not in the PR).
Been discussing with NumPy the navigation, and what is proposed here is with minimal differences agreed with them. See https://github.com/numpy/numpy.org/issues/43
I don'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28583 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28583/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28583/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28583/events | https://github.com/pandas-dev/pandas/pull/28583 | 497,288,245 | MDExOlB1bGxSZXF1ZXN0MzIwNDQ4MTU4 | 28,583 | PERF: Implement DataFrame-with-scalar ops block-wise | {
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] | closed | false | null | [] | null | 4 | 2019-09-23T19:38:24Z | 2020-04-05T17:45:11Z | 2019-11-10T17:01:52Z | MEMBER | null | One of four cases we'll need to implement (the others being Series-align-index, Series-align-columns, and DataFrame).
~670x speedup on the fastest ops, ~8x on the slower end.
```
In [3]: arr = np.arange(10**5).reshape(100, 1000)
In [4]: df = pd.DataFr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28584 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28584/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28584/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28584/events | https://github.com/pandas-dev/pandas/issues/28584 | 497,307,740 | MDU6SXNzdWU0OTczMDc3NDA= | 28,584 | PERF: Index._shallow_copy doesn't copy ._engine | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-09-23T20:20:36Z | 2020-03-11T03:06:03Z | 2020-03-11T03:06:03Z | CONTRIBUTOR | null | ```python
>>> idx = pd.Index(np.arange(100_000))
>>> %timeit idx.get_loc(99_999)
774 ns ± 26 ns per loop
>>> %timeit idx._shallow_copy().get_loc(99_999)
3.57 ms ± 56.8 µs per loop
```
The same performance issue can be seen on other index types, e.g. CategoricalIndex and MultiIndex.
#### Problem description
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] | closed | false | null | [] | null | 2 | 2019-09-23T21:52:31Z | 2020-03-26T20:55:22Z | 2020-03-26T20:55:22Z | MEMBER | null | With the type hints that are being added in a lot of places, the question comes up if we want to have them in the docs.
Currently, this actually happens. See eg https://dev.pandas.io/docs/reference/api/pandas.DataFrame.to_string.html#pandas.DataFrame.to_string
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... | open | false | null | [] | null | 0 | 2019-09-24T08:30:21Z | 2021-07-21T04:53:58Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
da = np.arange(12).reshape(6,2)
df=pd.DataFrame(da,columns=list('ab'))
fig, ax = plt.subplots()
df[['a']].plot(x=df['b'],ax=ax)
plt.show()
```
#### Proble... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28594/events | https://github.com/pandas-dev/pandas/issues/28594 | 497,595,218 | MDU6SXNzdWU0OTc1OTUyMTg= | 28,594 | DataFrameGroupBy.quantile returns -> IndexError: indices are out-of-bounds | {
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```python
df1212 = pd.DataFrame([['a', 1, 1], ['a', 1, 2], ['a', 2, 8 ], ['b', 1, 9 ], ['b', 1, 7], ['b', 2, 1]], columns=['key', 'val', 'val1'])
df1212.groupby(['key','val']).quantile(q=[0.5,0.75])
```
#### Problem description
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https://api.github.com/repos/pandas-dev/pandas/issues/28595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28595/events | https://github.com/pandas-dev/pandas/pull/28595 | 497,648,544 | MDExOlB1bGxSZXF1ZXN0MzIwNzM2NjQ0 | 28,595 | BUG: Timedelta not formatted correctly in to_json | {
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] | closed | false | null | [] | null | 12 | 2019-09-24T12:12:30Z | 2020-02-12T00:41:12Z | 2020-02-12T00:41:12Z | CONTRIBUTOR | null | - [x] closes #28256
- [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/28596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28596/events | https://github.com/pandas-dev/pandas/issues/28596 | 497,676,670 | MDU6SXNzdWU0OTc2NzY2NzA= | 28,596 | Upsampling time series produces noisy derivative | {
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```python
from io import StringIO
import pandas as pd
from scipy import interpolate
import matplotlib.pyplot as plt
csv = StringIO("""date_time,CUM_PROD,RATE
2012-05-03 00:00:00.000000000,21306.043,23.143911
2012-05-08 11:15:00.000000000,21432.611,23.143911
2012-05... | {
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```python
test = pd.DataFrame(
{
'foo' : ['small', 'large', 'large', 'large', 'medium', 'large', 'large', 'medium'],
'bar' : ['C', 'A', 'A', 'C', 'A', 'C', 'A', 'C']
})
test['foo'] = test['foo'].astype('category').cat.set_categories(['... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28598/events | https://github.com/pandas-dev/pandas/pull/28598 | 497,810,107 | MDExOlB1bGxSZXF1ZXN0MzIwODcwMDI1 | 28,598 | Fix docstring error | {
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] | closed | false | null | [] | null | 6 | 2019-09-24T16:57:25Z | 2019-10-11T22:16:32Z | 2019-10-11T22:16:32Z | CONTRIBUTOR | null | - [ ] 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/28599 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28599/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28599/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28599/events | https://github.com/pandas-dev/pandas/issues/28599 | 497,814,547 | MDU6SXNzdWU0OTc4MTQ1NDc= | 28,599 | Series of object/strings cannot be converted to Int64Dtype() | {
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#### Code Sample, a copy-pastable example if possible
```python
a = pd.Series(['123', '345', '456'])
a.astype(int) # works
a.astype('Int64') # doesn't work
```
#### Problem description
Currently, the conversion of object dtypes (containing strings) to Int64 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28600/events | https://github.com/pandas-dev/pandas/pull/28600 | 497,839,416 | MDExOlB1bGxSZXF1ZXN0MzIwODkzMzk5 | 28,600 | REF/TST: Corner cases for op(DataFrame, Series) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28601/events | https://github.com/pandas-dev/pandas/pull/28601 | 497,929,868 | MDExOlB1bGxSZXF1ZXN0MzIwOTY3NzI0 | 28,601 | OPS: Remove mask_cmp_op fallback behavior | {
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- [x] tests added / passed
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xref #28050.
To make the Series vs DataFrame behavior consistent, the two main options are a) change the DataFrame behavior (this PR) or b) cha... | {
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... | 8 | 2019-09-24T21:40:47Z | 2021-07-21T04:55:35Z | null | CONTRIBUTOR | null | Validation error `PR09 (Parameter description should end with ".")`. Removing this issue from the code base enables the addition to the CI for automated testing in the future.
If you are working on this issue, it probably makes sense to check for error `PR08` in issue #25232 as well since they require similar chang... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28603 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28603/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28603/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28603/events | https://github.com/pandas-dev/pandas/issues/28603 | 497,952,222 | MDU6SXNzdWU0OTc5NTIyMjI= | 28,603 | Error in Pandas 0.25 on pd.drop_duplicates() | {
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Python 3.6
I am attempting to use Pandas.drop_duplicates() in Anacadona, Jupyter Notebooks, by considering only a certain subset but am getting an error KeyError: Index(['days'], dtype='object')
The Index is as follows: `id, event_description, attribute1, attribute 2, attribute 3, days, days_suppl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28604/events | https://github.com/pandas-dev/pandas/pull/28604 | 497,979,014 | MDExOlB1bGxSZXF1ZXN0MzIxMDA4MDYz | 28,604 | CLN: Assorted typings | {
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Also fixes one of the problems currently afflicting the CI in tests.groupby.test_categorical | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28606 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28606/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28606/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28606/events | https://github.com/pandas-dev/pandas/pull/28606 | 497,999,293 | MDExOlB1bGxSZXF1ZXN0MzIxMDIzMDA2 | 28,606 | fix unnecessary sort in pd.read_json and orient="index" | {
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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/28607 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28607/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28607/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28607/events | https://github.com/pandas-dev/pandas/pull/28607 | 498,029,008 | MDExOlB1bGxSZXF1ZXN0MzIxMDQ1MzE3 | 28,607 | BUG: value_counts can handle the case even with empty groups (#28479) | {
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consecutive duplicates instead.
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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consecutive duplicates instead.
- [x] closes #28479
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/28609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28609/events | https://github.com/pandas-dev/pandas/issues/28609 | 498,136,054 | MDU6SXNzdWU0OTgxMzYwNTQ= | 28,609 | OverflowError on using to_json to serialize NaN value with type Decimal. | {
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import pandas as pd
from decimal import Decimal
def handle_nan(value):
if isinstance(value, Decimal):
return float(value)
return value
temp_dict = {'a': [Decimal(1), Decimal('NaN')]}
df = pd.DataFrame(temp_dict)
df_json = df.to_json(default_handler=handle_nan)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/28610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28610/events | https://github.com/pandas-dev/pandas/issues/28610 | 498,158,746 | MDU6SXNzdWU0OTgxNTg3NDY= | 28,610 | DatetimeIndex + DateOffset broken around DST switching time | {
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... | open | false | null | [] | null | 1 | 2019-09-25T09:20:52Z | 2020-04-02T05:12:06Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> idx = pd.DatetimeIndex(['2000-03-26 04:00'], tz='Europe/Berlin') # Switch to DST was on that day
>>> idx
DatetimeIndex(['2000-03-26 04:00:00+02:00'], dtype='datetime64[ns, Europe/Berlin]', freq=None)
>>> idx + pd.DateOf... | {
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... | open | false | null | [] | null | 0 | 2019-09-25T09:28:40Z | 2021-07-21T04:57:51Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> import datetime as dt
>>> pd.Series([dt.datetime.max.replace(tzinfo=dt.timezone.utc)]).tz_convert('Europe/Berlin')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'datetime.datetime' ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28612/events | https://github.com/pandas-dev/pandas/issues/28612 | 498,246,761 | MDU6SXNzdWU0OTgyNDY3NjE= | 28,612 | CI failures on master | {
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] | closed | false | null | [] | null | 4 | 2019-09-25T12:14:55Z | 2019-09-25T16:49:46Z | 2019-09-25T15:48:00Z | CONTRIBUTOR | null | I retriggered a passing build on master, and it failed: https://travis-ci.org/pandas-dev/pandas/builds/588926447.
Last passing build was https://travis-ci.org/pandas-dev/pandas/builds/588919832.
@jbrockmendel do you have time to look into this today?
```
=================================== FAILURES ==========... | {
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