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495,495,314
MDExOlB1bGxSZXF1ZXN0MzE5MDMzNDE2
28,513
CLN: dont catch Exception when calling maybe_convert_numeric
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2
2019-09-18T23:07:38Z
2019-09-20T14:16:27Z
2019-09-20T12:35:26Z
MEMBER
null
and parametrized one of the tests for maybe_convert_numeric
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MDExOlB1bGxSZXF1ZXN0MzE5MDQxMjY1
28,514
TST: suppress 1485 warnings issued by xml parser
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2019-09-18T23:47:04Z
2019-09-19T16:05:23Z
2019-09-19T15:49:21Z
MEMBER
null
So we don't have to scroll through tons of ``` 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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MDExOlB1bGxSZXF1ZXN0MzE5MDUwNjAz
28,515
REF: Parametrize test
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2019-09-19T00:40:34Z
2019-09-19T16:53:20Z
2019-09-19T14:32:40Z
MEMBER
null
Let me know if I'm mistaken here, but I think we would prefer parametrization over for loops inside tests (e.g., so `pytest` flags which case is failing), and this should be equivalent.
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MDExOlB1bGxSZXF1ZXN0MzE5MTMxMjky
28,516
CLN: clean-up internal sparse imports + restructure sparse submodule
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11
2019-09-19T07:20:38Z
2019-09-27T14:59:19Z
2019-09-27T14:58:18Z
MEMBER
null
Updating our internal imports to use the path were they actually live, not the old `core.sparse.api` one. 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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28,517
DEV: skip pandas/__init__.py in isort's pre-commit hook
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1
2019-09-19T07:41:39Z
2019-09-19T14:17:29Z
2019-09-19T14:17:25Z
MEMBER
null
I noticed that when you modified `pandas/__init__.py`, isort actually completely reordered it when using pre-commit hook. Apparantly, isort ignores the skip config when you explicitly pass a path to isort (pre-commit basically does `isort pandas/__init__.py` when that file changed). See https://github.com/pre-commit...
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MDU6SXNzdWU0OTU2ODQzODE=
28,518
merge fails to add suffixes on multiindex columns
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0
2019-09-19T09:34:33Z
2019-10-05T23:09:55Z
2019-10-05T23:09:55Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```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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28,519
WEB: Improve new website styles
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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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MDU6SXNzdWU0OTU2OTI4NTM=
28,520
WEB: Content for the footer
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2019-09-19T09:50:40Z
2019-09-26T06:42:27Z
2019-09-26T06:42:27Z
MEMBER
null
What do we want in the new website footer? Will be visible in all the pages (including the documentation I guess)? 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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28,521
WEB: Blockers before moving the new website to production
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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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495,701,192
MDU6SXNzdWU0OTU3MDExOTI=
28,522
Merge even on NaN
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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') ![df2](https://user-images.g...
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495,725,284
MDU6SXNzdWU0OTU3MjUyODQ=
28,523
DataFrameGroupBy.first() 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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495,754,753
MDExOlB1bGxSZXF1ZXN0MzE5MjQwNTM5
28,524
COMPAT: ensure no warnings on tab completion with Jedi 0.15
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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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495,798,993
MDU6SXNzdWU0OTU3OTg5OTM=
28,525
BUG: groupby quantile fails with multiple quantiles
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2019-09-19T13:26:40Z
2019-09-19T14:40:03Z
2019-09-19T14:14:37Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```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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495,815,364
MDU6SXNzdWU0OTU4MTUzNjQ=
28,526
read_excel with opened data set
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6
2019-09-19T13:54:28Z
2019-09-19T16:27:52Z
2019-09-19T16:27:51Z
NONE
null
My issue is partially reported here: 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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495,834,636
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28,527
Operations between DataFrame and ExtensionArray loses EA dtype
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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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28,528
WEB: Deployment of the new website in production
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16
2019-09-19T14:55:52Z
2020-04-07T11:57:42Z
2020-04-07T11:57:42Z
MEMBER
null
Until now, we've been deploying the website manually afaik, from the separate repo. 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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28,529
WEB: Fix deployment of the website
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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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28,530
BUG: wrong exception raised by Week+Day
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2019-09-19T15:08:46Z
2019-09-19T21:10:10Z
2019-09-19T20:33:52Z
MEMBER
null
With that fixed, we can clean up an Exception in tseries.frequencies.
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28,531
TST: Call tests just once with --dist=loadscope
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2019-09-19T15:32:56Z
2019-11-17T18:08:03Z
2019-11-17T14:20:08Z
MEMBER
null
Another try to what was tried in #26949. Before this PR the tests are called twice, once in a core for the tests that affect shared results, and once in parallel for the rest. 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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CLN+TST: Catch specific exception in equals
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2019-09-19T17:21:02Z
2019-09-26T15:13:41Z
2019-09-26T15:12:02Z
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null
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28,533
TST: Add astype_nansafe datetime tests
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3
2019-09-19T17:45:11Z
2019-09-25T22:54:55Z
2019-09-25T22:47:46Z
MEMBER
null
Adds tests for `astype_nansafe` in situations where we can't perform a datetime casting because of a precision mismatch: ``` arr # array(['2018-01-01'], dtype='datetime64[D]') arr.view(np.int32) ...
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Pandas.io.formats.style.Styler.pipe docstring PR02
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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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Pandas.io.formats.style.Styler.apply docstring PR02
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13
2019-09-19T19:51:37Z
2019-10-11T22:10:18Z
2019-10-11T22:10:18Z
CONTRIBUTOR
null
Solves: - Unknown parameters {kwargs} pandas.io.formats.style.Styler.apply: Unknown parameters {kwargs} in #27976
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28,536
Pip installation instruction wrong on Pandas homepage
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2019-09-19T19:56:47Z
2019-09-19T20:52:52Z
2019-09-19T20:52:52Z
NONE
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On https://pandas.pydata.org under the `v0.25.1 Final (August 22, 2019)` heading, the PyPi installation link is `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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28,537
REF: Parametrize value_counts tests
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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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28,538
pd.Series.to_string(index=False) behavior changed to include leading spaces
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2019-09-19T20:19:42Z
2019-09-19T22:30:56Z
2019-09-19T20:56:08Z
NONE
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This is a change in behavior between 0.23 and 0.25. 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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Pandas.io.formats.style.Styler docstring PR02
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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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MDExOlB1bGxSZXF1ZXN0MzE5NDUxMzU3
28,540
Pivot nans fix
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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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28,541
BUG: Groupby selection context not being properly reset
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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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28,542
ENH: Add dta 119 reading to StataReader
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3
2019-09-19T21:09:13Z
2019-12-19T22:29:34Z
2019-09-20T12:40:13Z
CONTRIBUTOR
null
Add requirements for reading 119 format files - [X] closes #28250 - [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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28,543
WEB/CI: Fixing target path of the web build
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1
2019-09-19T21:25:40Z
2019-09-19T23:23:40Z
2019-09-19T22:24:48Z
MEMBER
null
http://dev,pandas.io is currently not serving the website (http://dev,pandas.io/docs) 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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28,544
CLN: Exception and BaseException in test_nanops
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2019-09-19T21:44:32Z
2019-09-20T14:18:34Z
2019-09-20T06:14:59Z
MEMBER
null
AFAICT these are artifacts of pre-pytest usage where we needed to manually add info to the traceback. 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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CI: Move last builds from Travis to Azure
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2019-09-19T22:05:49Z
2020-09-27T14:10:20Z
2020-09-27T14:10:20Z
MEMBER
null
I think this makes sense, and it will simplify things having a single CI system. 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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Better Message for xlrd Dependencies
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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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28,547
Deprecate using `xlrd` engine in favor of openpyxl
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2019-09-20T03:25:00Z
2020-12-12T14:57:21Z
2020-12-01T23:27:29Z
MEMBER
null
xlrd is unmaintained and the previous maintainer has asked us to move towards openpyxl. xlrd works now, but *might* have some issues when Python 3.9 or later gets released and changes some elements of the XML parser, as default usage right now throws a `PendingDeprecationWarning` Considering that I think we need to ...
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28,548
AbstractMethodError on IPython help for Series
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2019-09-20T12:31:13Z
2019-11-03T00:56:19Z
2019-11-03T00:56:19Z
CONTRIBUTOR
null
I'm using tab completion and wildcard search in IPython to find the right method usually. It's very common: https://jakevdp.github.io/PythonDataScienceHandbook/01.01-help-and-documentation.html 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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Many groupby tests depend on a bug in DataFrameGroupBy.apply
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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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28,550
Backport PR #28524: COMPAT: ensure no warnings on tab completion with Jedi 0.15
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2019-09-20T15:55:55Z
2019-09-21T11:36:06Z
2019-09-21T11:36:03Z
MEMBER
null
Backport for #28524
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sns.heatmap fails with OptionError: "No such keys(s): 'compute.use_numexpr'"
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2019-09-20T16:01:07Z
2019-10-03T07:20:09Z
2019-10-03T07:19:25Z
NONE
null
sns.heatmap fails with OptionError: "No such keys(s): 'compute.use_numexpr'" ``` 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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496,446,021
MDU6SXNzdWU0OTY0NDYwMjE=
28,552
DataFrame[list[Series[datetime64ns, tz]]] drops timezone information
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5
2019-09-20T16:36:45Z
2020-05-12T13:32:09Z
2020-05-12T13:32:09Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` 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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28,553
TST/CLN: parametrize and clean test_expressions, test_nanops
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1
2019-09-20T19:07:57Z
2019-09-23T12:47:18Z
2019-09-23T12:01:39Z
MEMBER
null
These are each going to need at least one more pass after this.
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28,554
[BUG] Fixed behavior of DataFrameGroupBy.apply to respect _group_selection_context
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2019-09-20T21:10:37Z
2019-09-20T21:40:17Z
2019-09-20T21:40:17Z
CONTRIBUTOR
null
- [x] closes #28549 - [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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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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28,556
pd.read_json May Not Maintain Numeric String Index
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2019-09-21T00:14:06Z
2021-01-04T23:29:00Z
2021-01-04T23:29:00Z
MEMBER
null
```python >>> 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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pd.read_json and orient="index" sorts results
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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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28,558
pd.read_json With convert_axes Produces Different Index Type than Empty Frame
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2019-09-21T00:35:07Z
2020-05-08T21:15:22Z
null
MEMBER
null
Another edge case brought up by #28510 . I'm not sure if we have a definite stance on this and there are probably a few other issues that are similar, though couldn't find anything exactly matching this Note the index types for an empty data frame ```python >>> df = pd.DataFrame() >>> df.index Index([], dtype=...
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28,559
read_json with orient="values" and numpy=True provides strange column
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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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28,560
read_json and numpy=True and dtype=False does not preserve int64 dtype roundtrip on Windows
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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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TST: restore type checks to maybe_promote tests
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2019-09-21T02:35:24Z
2019-09-23T12:55:46Z
2019-09-23T12:55:41Z
MEMBER
null
xref #25425. Working on fixing the xfailed tests in this file. This is going to be a marathon.
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28,562
DEPR: Deprecate numpy argument in read_json
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16
2019-09-21T13:39:59Z
2020-01-03T02:44:28Z
2020-01-03T02:44:28Z
NONE
null
- [x] closes #28512 - [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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28,563
CLN: Assorted cleanups
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2019-09-21T14:41:43Z
2019-09-23T12:44:50Z
2019-09-23T11:58:41Z
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TST: un-xfail incorrectly xfailed tests for maybe_promote
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2019-09-21T14:57:53Z
2019-10-01T13:30:46Z
2019-10-01T13:06:04Z
MEMBER
null
This sits on top of #28561.
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28,565
Getting KeyError when accessing one row by string in a DateTimeIndex with 1 element
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2019-09-22T01:50:38Z
2021-07-21T04:46:13Z
2021-07-21T04:46:12Z
NONE
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#### 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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28,566
BENCH: Add rolling apply benchmarks
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2019-09-22T03:19:01Z
2019-09-23T00:06:23Z
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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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28,567
DOC: update fixing unknown parameters errors (error code PR02)
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2019-09-22T10:36:22Z
2019-09-27T07:00:24Z
2019-09-27T07:00:09Z
CONTRIBUTOR
null
- Documentation update fixing some of the methods with a PR-2 error code which involved updating **kwds to **kwargs - 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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28,568
Pandas Enhancement Proposals?
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2019-09-22T11:19:37Z
2021-07-11T17:45:08Z
null
CONTRIBUTOR
null
I was wondering if there has been discussion about having dedicated RFC / Proposals for larger changes to pandas? 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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Bugfix/groupby datetime issue
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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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Groupby Agg not working if different partials with same name on the same column
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2019-09-22T20:09:15Z
2021-07-21T04:48:47Z
null
MEMBER
null
related to #28426 from PR #28428 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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DOC: Fixed PR08 docstring errors in pandas.tseries
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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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28,572
Groupby behaviour of missing zeros
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8
2019-09-23T01:30:15Z
2021-11-03T16:28:59Z
null
NONE
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#### Problem description 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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28,573
BUG: Preserve subclassing with groupby operations
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2019-09-23T02:20:01Z
2020-05-08T17:15:10Z
2020-01-17T23:42:07Z
NONE
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Preserve subclassing with groupby operations - [x] closes #28330 - [x] tests added / passed - [x] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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28,574
Add default parameter for get_group
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2019-09-23T05:06:40Z
2019-10-10T02:10:06Z
2019-10-10T02:06:39Z
CONTRIBUTOR
null
- [x] closes #9299 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,575
[WIP] Annotate DataFrame (Part 3)
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2019-09-23T07:00:49Z
2020-03-31T02:02:47Z
2020-01-01T20:56:45Z
CONTRIBUTOR
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- [x] part of #26792 - [ ] tests added / passed - [x] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,576
Cannot parse query for df.query() with column name containing parenthesis.
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2019-09-23T07:10:56Z
2019-09-24T13:33:56Z
2019-09-24T13:33:56Z
NONE
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##### Code: ```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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DOC: Add scaling to large datasets section
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2019-09-23T11:15:58Z
2019-10-01T12:09:30Z
2019-10-01T11:59:04Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/28315
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Feature Request: Left join conditionally on timestamps in pd.merge_asof(…)
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2019-09-23T14:33:02Z
2019-10-07T21:07:08Z
2019-10-07T21:07:08Z
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As the title states, it would great to have the option to left-join in a pd.merge_asof(). Currently it only supports 1-1 joins. 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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Fix typo
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2019-09-23T14:47:24Z
2019-09-23T22:05:02Z
2019-09-23T15:21:25Z
CONTRIBUTOR
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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WEB/DOC: integration of the main website and documentation
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2019-09-23T16:10:58Z
2019-11-01T20:27:50Z
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MEMBER
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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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Inconsistent SettingWithCopyWarning
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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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497,258,454
MDExOlB1bGxSZXF1ZXN0MzIwNDI0Mjky
28,582
WEB: Restructuring pages and navigation, styling and new footer
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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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PERF: Implement DataFrame-with-scalar ops block-wise
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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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MDU6SXNzdWU0OTczMDc3NDA=
28,584
PERF: Index._shallow_copy doesn't copy ._engine
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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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28,585
DOC: do we want type hints in signature on API pages?
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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 ![image](https://user-images.githubusercontent.com/10...
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28,586
Fix typo in class DataFrame
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2019-09-23T22:04:09Z
2019-09-24T17:45:09Z
2019-09-24T01:26:13Z
CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry This is basically a version of #28579 for the master branch.
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TST/CLN: Exception catching
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CLN: indexing Exception in Series
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CLN: remove unused args from _construct_result
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2019-09-24T01:37:31Z
2019-09-24T15:41:49Z
2019-09-24T12:06:59Z
MEMBER
null
These were there for compat with the SparseDataFrame._construct_result signature, which is no longer relevant. Also got rid of _combine_const; that was also just waiting for the SparseDataFrame version to be gone.
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CLN: unify __finalize__ treatment for Series ops
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2019-09-24T01:40:48Z
2019-09-26T14:42:48Z
2019-09-26T12:30:40Z
MEMBER
null
ATM we have three slightly different usages for the arithmetic, comparison and logical ops, with no clear reason for the differences. This changes that to make the arithmetic the one true version, which has the added benefit of letting us share _construct_result code across these three functions.
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28,591
Help with Dataframe as function argument or mask assignement
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2019-09-24T06:28:55Z
2019-11-03T01:05:07Z
2019-11-03T01:05:06Z
NONE
null
#### Problem description Hi everyone, I'm here because I want to achieve some stuff, but I don't know how to achive it in the best way. I browse a lot of topics on stackoverflow without a clue. Here is the thing, I want to achieve some utilities function for machine learning stuff. I want to make several functio...
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28,592
DOC: Add into about empty results in sample
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2019-09-24T06:29:30Z
2019-11-07T23:49:52Z
2019-11-07T23:49:51Z
NONE
null
As referred to in https://github.com/pandas-dev/pandas/issues/28495. - [x] closes #28495 - [x] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,593
Dataframe.plot error (on version 0.25.1)
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2019-09-24T08:30:21Z
2021-07-21T04:53:58Z
null
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#### 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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28,594
DataFrameGroupBy.quantile returns -> IndexError: indices are out-of-bounds
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2019-09-24T10:18:41Z
2019-09-24T19:13:36Z
2019-09-24T19:13:36Z
NONE
null
#### Sample Code ```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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BUG: Timedelta not formatted correctly in to_json
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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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Upsampling time series produces noisy derivative
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2019-09-24T13:06:18Z
2020-05-11T19:17:51Z
null
NONE
null
#### Code Sample, a copy-pastable example ```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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28,597
Missing values in ordered category breaks sorting of unstacked columns
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2019-09-24T15:38:25Z
2020-04-17T22:08:51Z
2020-04-17T22:08:51Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```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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28,598
Fix docstring error
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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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28,599
Series of object/strings cannot be converted to Int64Dtype()
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2019-09-24T17:06:54Z
2019-11-19T00:30:29Z
2019-11-03T01:11:36Z
NONE
null
**Edited to add information.** #### 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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REF/TST: Corner cases for op(DataFrame, Series)
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2019-09-24T17:58:59Z
2019-09-26T14:47:19Z
2019-09-26T12:27:47Z
MEMBER
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We have two special cases in `_combine_series_frame` that are never tested ATM. This adds tests for them, then notes that the special case handling code is unnecessary and this can now fall through to the general case code. In a follow-up, we'll be able to simplify _combine_series_frame further, but for now I want to...
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OPS: Remove mask_cmp_op fallback behavior
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2019-09-24T21:19:22Z
2019-09-27T17:30:07Z
2019-09-26T12:25:29Z
MEMBER
null
- [x] closes #28079 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry 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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28,602
DOC: Docstrings Formatting Error PR09
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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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28,603
Error in Pandas 0.25 on pd.drop_duplicates()
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2019-09-24T22:21:26Z
2019-09-24T22:36:50Z
2019-09-24T22:35:53Z
NONE
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Pandas 0.25.1 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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28,604
CLN: Assorted typings
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2019-09-25T00:00:34Z
2019-10-01T13:33:37Z
2019-10-01T04:00:19Z
MEMBER
null
Broken off from abandoned local branches. Also fixes one of the problems currently afflicting the CI in tests.groupby.test_categorical
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CLN: Exception x5
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28,606
fix unnecessary sort in pd.read_json and orient="index"
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2019-09-25T01:29:14Z
2019-10-11T04:12:27Z
2019-10-09T14:50:47Z
CONTRIBUTOR
null
- [x] closes #28557 - [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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BUG: value_counts can handle the case even with empty groups (#28479)
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2019-09-25T03:37:44Z
2019-09-25T05:17:39Z
2019-09-25T03:55:23Z
CONTRIBUTOR
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* If applying rep to recons_labels go fail, use ids which has no consecutive duplicates instead. - [x] closes #28479 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry xuancong84 found that value_counts() crashe...
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BUG: value_counts can handle the case even with empty groups (#28479)
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* If applying rep to recons_labels go fail, use ids which has no consecutive duplicates instead. - [x] closes #28479 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry xuancong84 found that value_counts() crashe...
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28,609
OverflowError on using to_json to serialize NaN value with type Decimal.
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2021-04-23T08:58:25Z
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```python 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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28,610
DatetimeIndex + DateOffset broken around DST switching time
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2019-09-25T09:20:52Z
2020-04-02T05:12:06Z
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#### 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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28,611
Misleading error message when Series.dt.tz_convert overflows
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2019-09-25T09:28:40Z
2021-07-21T04:57:51Z
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NONE
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#### 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
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MDU6SXNzdWU0OTgyNDY3NjE=
28,612
CI failures on master
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2019-09-25T12:14:55Z
2019-09-25T16:49:46Z
2019-09-25T15:48:00Z
CONTRIBUTOR
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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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