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https://api.github.com/repos/pandas-dev/pandas/issues/23512
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377,490,746
MDExOlB1bGxSZXF1ZXN0MjI4NDIxNDE0
23,512
BUG: pivot/unstack leading to too many items should raise exception
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14
2018-11-05T16:56:10Z
2018-12-31T15:51:55Z
2018-12-31T13:16:44Z
CONTRIBUTOR
null
- [x] closes #20601 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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377,507,031
MDU6SXNzdWUzNzc1MDcwMzE=
23,513
AmbiguousTimeError in date_range using tz when start/end in dst transition.
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2018-11-05T17:36:37Z
2018-11-05T21:08:38Z
2018-11-05T21:08:38Z
NONE
null
#### Code Sample ```python import datetime import pytz import pandas as pd start = datetime.datetime(2018, 11, 1, 1, 0) end = datetime.datetime(2018, 11, 4, 1, 0) tz = pytz.timezone('America/New_York') pd.date_range(start, end, tz=tz, ambiguous=True) ``` ``` Traceback (most recent call last): File "/v...
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377,521,426
MDExOlB1bGxSZXF1ZXN0MjI4NDQ0NjM2
23,514
Make validate_docstrings.py ready for the CI
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13
2018-11-05T18:16:28Z
2018-11-07T09:00:37Z
2018-11-07T08:51:17Z
MEMBER
null
- [X] closes #23481 - [X] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry This will allow us to start having validation rules for the docstings in the CI, for example, we can have: ``` $ ./scripts/validate_docstrings.py --prefix="pandas.read_" --for...
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377,533,282
MDExOlB1bGxSZXF1ZXN0MjI4NDUzNTI3
23,515
Add base test for Series[ExtensionArray].sort_values with sort=False
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2018-11-05T18:48:58Z
2018-11-09T18:14:40Z
2018-11-08T17:08:02Z
NONE
null
- [x] closes ##23074 - [x] one base test added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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377,537,928
MDU6SXNzdWUzNzc1Mzc5Mjg=
23,516
read_csv() is 3.5X Slower in Pandas 0.23.4 on Python 3.7.1 vs Pandas 0.22.0 on Python 3.5.2
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56
2018-11-05T19:01:14Z
2018-12-05T20:43:49Z
2018-12-05T20:21:23Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import io import pandas as pd import numpy as np df = pd.DataFrame(np.random.randn(1000000, 10), columns=('COL{}'.format(i) for i in range(10))) csv = io.StringIO(df.to_csv(index=False)) df2 = pd.read_csv(csv) ``` #### Problem description ``p...
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MDExOlB1bGxSZXF1ZXN0MjI4NDYwMDky
23,517
DOC: Updating the docstring of read_csv and related functions
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7
2018-11-05T19:13:00Z
2019-01-02T20:26:13Z
2018-11-21T12:53:42Z
CONTRIBUTOR
null
- [X] closes #23496 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Make docstrings of the following modules to comply with [pandas docstring](https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html) - pandas.read_table - pandas.read_csv - panda...
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377,553,102
MDExOlB1bGxSZXF1ZXN0MjI4NDY4NTE0
23,518
Extraneous parts broken off from other DTA/TDA PRs
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2018-11-05T19:43:14Z
2018-11-08T15:59:01Z
2018-11-06T03:11:53Z
MEMBER
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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377,557,347
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23,519
pytest 3.10 minversion
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2018-11-05T19:54:58Z
2019-02-28T12:59:33Z
2019-02-28T12:59:33Z
CONTRIBUTOR
null
Bug in parsing minversion: https://github.com/pytest-dev/pytest/issues/4306 this issue is to restore it.
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23,520
CI: Fixed pytest minversion
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2018-11-05T19:55:06Z
2018-11-07T11:53:03Z
2018-11-06T00:23:47Z
CONTRIBUTOR
null
xref https://github.com/pandas-dev/pandas/issues/23519
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MDU6SXNzdWUzNzc1NjE4Mjk=
23,521
AmbigousTimeError on Timestamp.floor during dst change
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8
2018-11-05T20:07:41Z
2021-03-29T09:11:49Z
2018-11-05T21:06:44Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd pd.Timestamp('2018-11-04 01:55:17.869342-0500', tz='America/New_York').floor('T') ``` ``` Traceback (most recent call last): File "/venv/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 3265, in run_code ...
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377,563,310
MDExOlB1bGxSZXF1ZXN0MjI4NDc2Mzkz
23,522
BUILD: Simplifying contributor dependencies
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2018-11-05T20:12:12Z
2018-11-11T23:36:33Z
2018-11-11T23:36:29Z
MEMBER
null
Unifying dev and optional dependencies, moving them to their standard locations, and create script to generate the pip file, and make sure in the CI they are always sync - [X] refs #23115 - [ ] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,523
CI: Auto-cancel redundant builds
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18
2018-11-05T22:09:31Z
2018-11-19T17:53:06Z
2018-11-08T13:29:17Z
CONTRIBUTOR
null
This removes the `workflows` section from the `cirleci` config, which broke auto-cancellation. Also testing whether azure auto-cancels builds. cc @gfyoung
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MDExOlB1bGxSZXF1ZXN0MjI4NTUwOTg0
23,524
BUG: Casting tz-aware DatetimeIndex to object-dtype ndarray/Index
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2018-11-06T01:55:16Z
2018-11-11T17:08:28Z
2018-11-11T16:20:04Z
MEMBER
null
Also fixes bug with `DateOffset == "infer"` incorrectly raising instead of returning `False`. Also fixes bug(?) with `pd.Index(dtindex, dtype=object)` returning an index of datetimes instead of Timestamps, potentially losing nanoseconds. - [x] closes #23491 - [x] tests added / passed - [x] passes `git diff upst...
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23,525
Why is pd.Index.union not commutative?
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2018-11-06T02:47:45Z
2019-05-21T20:41:45Z
2019-05-21T20:41:45Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python >>> ix = pd.Index([1,2]) >>> eix = pd.Index([]) >>> pi = pd.PeriodIndex(['19910905', '19910906'], freq='D') # Pair 1 >>> pi.union(eix) ValueError: can only call with other PeriodIndex-ed objects >>> eix.union(pi) PeriodIndex(['1991-09-05', '19...
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23,526
CI: Moving CI dependencies to "ci/deps"
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9
2018-11-06T07:47:18Z
2018-11-06T19:48:59Z
2018-11-06T19:48:58Z
MEMBER
null
- [X] refs #23115 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry @jreback you were +0 on this, do you want to take a look? Also @TomAugspurger and @jbrockmendel
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MDExOlB1bGxSZXF1ZXN0MjI4NjE3OTYw
23,527
BUG: Don't over-optimize memory with jagged CSV
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2018-11-06T09:08:08Z
2018-11-12T19:43:45Z
2018-11-12T13:13:00Z
MEMBER
null
With jagged CSV's, we risk being too quick to dump memory that we need to allocate because previous chunks would have indicated much larger rows than we can anticipate in subsequent chunks. Closes #23509.
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377,793,201
MDU6SXNzdWUzNzc3OTMyMDE=
23,528
pandas.to_datetime() cannot handle dates from year 3000 onwards
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2018-11-06T10:55:53Z
2018-11-06T13:22:16Z
2018-11-06T11:02:20Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd pd.to_datetime(['3000/01/01']) ``` Output: ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) h:\anaconda3\lib\site-...
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MDExOlB1bGxSZXF1ZXN0MjI4NzE0MTc4
23,529
DOC/TST: Fix warning in concat docstring
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2018-11-06T14:40:08Z
2018-11-06T19:21:54Z
2018-11-06T19:21:25Z
CONTRIBUTOR
null
xref https://github.com/pandas-dev/pandas/issues/23149
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MDU6SXNzdWUzNzc4OTkyMjc=
23,530
Support Decimal("NaN") is pandas.isna
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2
2018-11-06T15:29:51Z
2021-02-25T00:54:36Z
2021-02-25T00:54:36Z
CONTRIBUTOR
null
Should we do this? See https://github.com/pandas-dev/pandas/pull/23284#issuecomment-436269836 for some timings. Personally, I don't think it's worth the cost. kind | master | PR | ratio ------------- | ------ | ------ | ----- scalar | 821 ns | 926 ns | 1.12 (different result) object array | 1...
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23,531
"Exception: Column(s) <cols> already selected" when using groupby, resample, and agg
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6
2018-11-06T16:48:56Z
2019-01-16T01:00:50Z
2018-11-08T06:12:09Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python from datetime import datetime, timedelta import pandas as pd times = [datetime.now() + timedelta(hours=i) for i in range(10)] * 2 ids = ['foo', 'bar'] * 10 df = pd.DataFrame({'time': times, 'id': ids, 'value': range(20)}) ``` #### Problem des...
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377,941,191
MDExOlB1bGxSZXF1ZXN0MjI4NzYzNTg3
23,532
Public API for extension arrays / types.
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3
2018-11-06T16:56:40Z
2018-11-09T15:42:59Z
2018-11-09T15:42:58Z
CONTRIBUTOR
null
**API Changes** Adds * pandas.integer_array * pandas.period_array * pandas.IntervalArray * pandas.CategoricalDtype * pandas.api.extensions.IntergerArray * pandas.api.extensions.PeriodDtype * pandas.api.extensions.PeriodArray * pandas.api.extensions.IntervalDtype * pandas.api.extensions.DatetimeTZDtype ...
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377,964,502
MDU6SXNzdWUzNzc5NjQ1MDI=
23,533
pandas not loading the csv/tsv completely
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2018-11-06T17:54:39Z
2018-11-07T21:19:09Z
2018-11-06T19:15:59Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python data = pd.read_csv("filename.tsv", sep='\t') data.shape ``` #### Problem description I have a file for analysis and it gets loaded only partially. I cannot share the file. This doesn't happen with all the files. Even with error_bad_lines=True, not...
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378,015,345
MDExOlB1bGxSZXF1ZXN0MjI4ODIwODgz
23,534
Isort io and compat dirs
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3
2018-11-06T20:14:31Z
2019-12-25T20:22:25Z
2018-11-07T01:17:37Z
CONTRIBUTOR
null
- [x] xref #23334 - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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23,535
how to use intervalindex with datetimes?
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6
2018-11-06T20:31:05Z
2019-06-29T16:46:49Z
2019-06-29T16:46:49Z
NONE
null
Hello there! I am struggling with the amazing `intervalindex` new feature. Consider this simple example: ``` df = pd.DataFrame({'id' : ['pandas','peanuts'], 'inter_left' : [pd.to_datetime('2018-08-01 10:00:00'), pd.to_datetime('2018-08-01 17:00:00')], ...
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23,536
CI: Documentation built but not published in PRs
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4
2018-11-06T22:00:59Z
2018-11-06T22:30:33Z
2018-11-06T22:30:32Z
MEMBER
null
I was taking a look at the build of the documentation, and it looks like in every PR it is built, but it's not being published: ``` From https://github.com/pandas-dev/pandas-docs-travis * [new branch] gh-pages -> origin/gh-pages origin https://@github.com/pandas-dev/pandas-docs-travis.git (fetch) origin ht...
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378,058,011
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23,537
can we compare variable importance scores across samples?
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2018-11-06T22:18:57Z
2018-11-07T01:42:33Z
2018-11-07T01:42:33Z
NONE
null
Hello there! I am using this pretty nice package and I wonder if variable importance score that I see (using the `permutation` method) are comparable across samples. For instance, one can always compare `r-square` or `rmse` across samples. But does it make sense to say that the variable with the highest importan...
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23,538
ENH - Index set operation modifications to address issue #23525
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2018-11-07T04:05:23Z
2019-05-21T20:41:45Z
2019-05-21T20:41:45Z
CONTRIBUTOR
null
This is a first pass at addressing the associated issue. Needs plenty of discussion, feedback and testing. - [ ] closes #23525 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,539
BUG/REF: TimedeltaIndex.__new__
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2018-11-07T05:34:16Z
2018-11-13T18:08:28Z
2018-11-11T23:27:00Z
MEMBER
null
`TimedeltaIndex.__new__` type-checking is tough to decipher, and hides multiple bugs ``` >>> dti = pd.date_range('2016-01-01', periods=3) >>> pd.TimedeltaIndex(np.array(dti)) TimedeltaIndex(['16801 days', '16802 days', '16803 days'], dtype='timedelta64[ns]', freq=None) ``` In addition to this incorrect behavi...
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BUG: Return KeyError for invalid string key
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5
2018-11-07T06:34:43Z
2018-11-07T14:17:43Z
2018-11-07T14:09:13Z
MEMBER
null
- [x] closes #22803 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry In principle, it is nice to raise different errors if the string is invalid, or if the resulting period is missing. However, we want, and need, methods such as ``.loc`` to retur...
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378,160,822
MDU6SXNzdWUzNzgxNjA4MjI=
23,541
Add level argument to filter (?)
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8
2018-11-07T06:40:28Z
2021-08-30T15:45:14Z
null
MEMBER
null
Assume we have a DataFrame that looks something as follows and we want to *exclude* the column for "Total" in the second level of the column: ```python In [2]: mi = pd.MultiIndex.from_product([['2018'], ['Q1', 'Q2', 'Q3', 'Q4', 'Tot ...: al']]) ...
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378,181,759
MDU6SXNzdWUzNzgxODE3NTk=
23,542
Weekmask & holidays error in CustomBusinessHour
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2018-11-07T08:11:47Z
2021-05-31T14:27:02Z
2021-05-31T14:27:02Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python from pandas.tseries.offsets import CustomBusinessDay, CustomBusinessHour import pandas as pd import datetime weekmask = 'Mon Tue Wed Thu Fri Sat' holidays=['2018-11-09'] bday = CustomBusinessDay(weekmask=weekmask,holidays=holidays) dt=datetime....
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378,198,561
MDExOlB1bGxSZXF1ZXN0MjI4OTU5MTgz
23,543
CI/DOC: Fixing bug in validate_docstrings.py
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2
2018-11-07T09:06:47Z
2018-11-07T13:38:59Z
2018-11-07T13:38:59Z
MEMBER
null
Follow up of #23514. One of the validation error wasn't tested, and with the refactoring a typo was introduced, where a bracket closed in the wrong place, raised a KeyError when a private class was found in a docstrings (and adding test for that case - [X] tests added / passed - [X] passes `git diff upstream/master...
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MDExOlB1bGxSZXF1ZXN0MjI4OTYxODky
23,544
BUG: Delegate more of Excel parsing to CSV
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7
2018-11-07T09:17:45Z
2018-11-11T22:36:01Z
2018-11-11T15:40:43Z
MEMBER
null
The idea is that we read the Excel file, get the data, and let the `TextParser` handle reading and parsing, or at least most of it. We shouldn't be doing a lot of work that is already defined in `parsers.py` In doing so, identified several bugs: * `index_col=None` was not being respected * `usecols` behavior ...
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MDU6SXNzdWUzNzgzMTQwOTU=
23,545
pandas read html code is taking too long
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5
2018-11-07T14:35:35Z
2018-11-07T15:41:38Z
2018-11-07T15:25:44Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd html_file1=r'path_to_file' df1=pd.read_html(html_file1) ``` #### Problem description the df1 dataframe should populate immediately but of late the command seems to take forever. i used this command to extract tables ...
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23,546
BUG: raise if invalid freq is passed
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2018-11-07T14:45:25Z
2018-11-08T13:06:33Z
2018-11-08T12:47:42Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Quick follow-up to very small regression in #23503 (see https://github.com/pandas-dev/pandas/pull/23503#discussion_r231513790 )
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23,547
BUG: astype fill_value for SparseArray.astype
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4
2018-11-07T16:56:35Z
2018-11-12T12:28:46Z
2018-11-12T12:28:45Z
CONTRIBUTOR
null
I don't think we have a specific issue for this. This is not a fix / change for https://github.com/pandas-dev/pandas/issues/23125 This fixes strange things like ```python In [1]: import pandas as pd; import numpy as np In [2]: a = pd.SparseArray([0, 1]) In [3]: a.astype(bool) Out[3]: [0, True] Fill: 0 ...
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23,548
BUG/REG: Passing Index to array-expected cython functions fails
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1
2018-11-07T17:16:30Z
2019-01-11T21:27:37Z
2019-01-11T21:27:37Z
MEMBER
null
Until recently many pandas cython functions had signatures like: ``` cpdef funcname(ndarray[object] values, ...) ``` In an effort to follow cython's recommendations, many of these have been changed to: ``` cpdef funcname(object[:] values, ...) ``` It looks like these are breaking in places where `Index`...
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378,407,619
MDU6SXNzdWUzNzg0MDc2MTk=
23,549
Passing an invalid flavor to read_html prints the wrong error message
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1
2018-11-07T18:11:25Z
2018-11-08T00:08:14Z
2018-11-08T00:08:14Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python >>> import pandas as pd >>> df_list = pd.read_html('https://google.com', flavor='unknown') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/achabot/envs/tmp-b79b7181308bb9c1/lib/python3.7/site-packages/pandas/...
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23,550
BUG: Fix error message for invalid HTML flavor
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3
2018-11-07T21:19:09Z
2018-11-08T00:16:32Z
2018-11-08T00:08:14Z
MEMBER
null
The flavors were not rendering properly in the string formatting. Closes #23549. Follow-up to #17660.
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https://api.github.com/repos/pandas-dev/pandas/issues/23551
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23,551
API: __name__ of str.cat.methods wrong
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0
2018-11-07T21:53:04Z
2019-06-01T15:03:07Z
2019-06-01T15:03:07Z
CONTRIBUTOR
null
While working on #23167, I found out that the names of several methods that are generated by wrappers are not set correctly (which matters because I need them for error reporting). E.g. ``` >>> import pandas as pd >>> pd.Series(['']).str.lower.__name__ '<lambda>' >>> pd.Series(['']).str.upper.__name__ '<lambda...
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23,552
DOC/CI: Fixes to make validate_docstrings.py to not generate warnings or unwanted output
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8
2018-11-07T22:05:58Z
2018-11-08T17:42:06Z
2018-11-08T16:12:13Z
MEMBER
null
Follow up of #23514. Making `validate_docstrings.py` not generate warnings or other unwanted output, mainly when called with `--format=json`. This includes preventing matplotlib of opening windows with the plots, and also canceling output from flake8. Also, fixed some bugs, and corrected some tests that weren't bein...
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23,553
BUG: lib.infer_type broken for IntervalArray / PeriodArray
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2018-11-07T22:27:08Z
2021-02-12T17:45:26Z
2021-02-12T17:45:26Z
CONTRIBUTOR
null
While working on #23167, I found a regression in IntervalArray / PeriodArray - I'm guessing it's related to the whole EA effort. @jorisvandenbossche @TomAugspurger ``` >>> import pandas as pd >>> import pandas._libs.lib as lib >>> s = pd.Series([pd.Period(2013), pd.Period(2018)], dtype='category') >>> lib.infer...
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23,554
API/DOC: types covered by lib.infer_dtype
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2018-11-07T22:47:44Z
2021-06-23T03:59:09Z
null
CONTRIBUTOR
null
In #23167, I'm trying consistently infer the dtype of the underlying Series/Index while calling the constructor of the `.str`-accessor. For testing this thoroughly, I wanted to build a parametrized fixture that returns an ndarray for all the dtypes that `lib.infer_dtype` can infer. I based myself on the list in the doc...
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23,555
BUG: CategoricalIndex.str.extractall fails
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2018-11-07T23:32:02Z
2018-12-02T23:06:09Z
2018-12-02T23:06:09Z
CONTRIBUTOR
null
Found a bug in a corner case while working on expanded test coverage in #23167: ``` >>> # the following three have the same result >>> pd.Series(['a', 'b', 'aa'], dtype='category').str.extractall(r'(a)') >>> pd.Series(['a', 'b', 'aa']).str.extractall(r'(a)') >>> pd.Index(['a', 'b', 'aa']).str.extractall(r'(a)') ...
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BUG: many methods on CategoricalIndex.str are broken
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2018-11-07T23:46:15Z
2018-12-02T23:06:09Z
2018-12-02T23:06:09Z
CONTRIBUTOR
null
This was also uncovered by #23167, but is a different error than #23555. Basically, all methods calling `CategoricalIndex.str._wrap_result(result, use_codes=True)` will necessarily fail, e.g.: ``` >>> import pandas as pd >>> pd.Index(['a', 'b', 'aa'], dtype='category').str.replace('a', 'c') Traceback (most recen...
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23,557
BUG: concat(Series[sparse]) raises ValueError
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2018-11-07T23:52:56Z
2020-01-06T13:22:19Z
2020-01-06T13:22:18Z
CONTRIBUTOR
null
```python In [1]: import pandas as pd In [2]: pd.__version__ Out[2]: '0.23.4' In [3]: a = pd.Series(pd.SparseArray([0, 1, 2])) In [4]: pd.concat([a, a], axis=1) ``` ```pytb --------------------------------------------------------------------------- ValueError Traceback (m...
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23,558
BUG: Index.str.partition not nan-safe
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2018-11-08T00:06:37Z
2018-11-18T18:32:51Z
2018-11-18T18:32:51Z
CONTRIBUTOR
null
While working on #23167, I found a corner case where `Index.str.partition` and `Index.str.rpartition` break in the presence of NaNs. I do not believe this is intentional (and it's not mentioned in the docs): ``` >>> import pandas as pd >>> pd.Index(['a', 'b', 'c']).str.partition(' ') # works MultiIndex(levels=[[...
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DataFrame[sparse].__getitem__ should be Series, not SparseSeries
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2
2018-11-08T00:15:05Z
2018-11-11T15:22:06Z
2018-11-11T15:22:06Z
CONTRIBUTOR
null
Can we break API here to return a Series[Sparse] instead? ```python In [12]: df = pd.DataFrame({"A": pd.SparseArray([1, 2, 3])}) In [13]: df.dtypes Out[13]: A Sparse[int64, 0] dtype: object In [14]: type(df['A']) Out[14]: pandas.core.sparse.series.SparseSeries ``` cc @rkern
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23,560
DOC: Prepare to add first docstrings checks to the CI
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10
2018-11-08T00:23:12Z
2018-11-11T01:28:19Z
2018-11-11T01:28:18Z
MEMBER
null
Fixing some docstring issues, so CI doesn't fail when we add the first validation of docstrings in #22854. - [ ] closes # - [ ] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,561
API: DataFrame.__getitem__ returns Series for sparse column
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4
2018-11-08T00:34:57Z
2018-11-11T15:22:21Z
2018-11-11T15:22:07Z
CONTRIBUTOR
null
Awaiting consensus on #23559, but I went ahead an implemented it. Breaking API change for ```python In [1]: import pandas as pd In [2]: df = pd.DataFrame({"A": pd.SparseSeries([1, 0])}) In [3]: type(df['A']) Out[3]: pandas.core.sparse.series.SparseSeries ``` Now Out[3] is a Series. closes https://g...
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23,562
remove uses of (ts)?lib.(NaT|iNaT|Timestamp)
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2018-11-08T01:37:39Z
2018-11-08T14:48:55Z
2018-11-08T12:38:10Z
MEMBER
null
Since they are no longer defined there; instead import then from more appropriate places.
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BUG: Series(list_of_intervals) results in object dtype
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6
2018-11-08T02:53:48Z
2020-01-06T13:29:36Z
2020-01-06T13:29:36Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible Constructing a `Series` from a list of `Interval` objects results in an object dtype, and is not backed by an `IntervalArray`: ```python In [2]: s = pd.Series([pd.Interval(0, 1), pd.Interval(1, 2), pd.Interval(2, 3)]) In [3]: s.dtype Out[3]: dtype('O') I...
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23,564
df.to_stata should automatically write in format 117 with wide strings
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16
2018-11-08T03:48:22Z
2018-11-20T14:56:48Z
2018-11-15T08:46:12Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame({'a': ['x' * 250]}) df.to_stata('test') ``` #### Problem description The last line above raises an exception: ``` ValueError: Fixed width strings in Stata .dta files are limited to 244 (or fewer) cha...
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23,565
API / internals: exact semantics of _ndarray_values
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2018-11-08T12:47:07Z
2020-03-19T00:24:24Z
2020-03-19T00:24:24Z
MEMBER
null
We need to better describe the exact semantics of `_ndarray_values`: what is it expected to return and how it is used. Currenlty it is defined on the ExtensionArray, but mentioned it is not part of the "official" interface: https://github.com/pandas-dev/pandas/blob/712fa945c878eaed18f79d4cf99ed91e464d51b1/pandas/...
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23,566
API: DataFrameGroupBy column subset selection with single list?
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2018-11-08T14:18:22Z
2021-05-08T07:21:16Z
2020-01-03T02:13:49Z
MEMBER
null
I wouldn't be surprised if there is already an issue about this, but couldn't directly find one. When doing a subselection of columns on a DataFrameGroupBy object, both a plain list (so a tuple within the `__getitem__` [] brackets) as the double square brackets (a list inside the `__getitem__` [] brackets) seems to ...
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23,567
ENH: numpy histogram bin edges in cut (GH 14627)
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32
2018-11-08T14:42:49Z
2019-04-10T04:10:09Z
2019-04-10T04:10:09Z
NONE
null
Passig a string to `pd.cut` bins kwarg dispatches bin calculation to `np.histogram_bin_edges`. - [X] closes #14627 - [X] tests added / passed - [X] added whatsnew entry
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"RecursionError: maximum recursion depth exceeded while calling a Python object" when using groupby, resample, and agg
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2018-11-08T15:29:58Z
2021-09-09T17:45:09Z
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NONE
null
#### Code Sample, a copy-pastable example if possible ```python from datetime import datetime, timedelta import pandas as pd times = [datetime.now() + timedelta(hours=i) for i in range(10)] * 2 ids = ['foo', 'bar'] * 10 df = pd.DataFrame({'time': times, 'id': ids, 'value': range(20)}) # raises RecursionErr...
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MDU6SXNzdWUzNzg4MDQ3MTI=
23,569
Review/Overhaul __array__ and view methods
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2018-11-08T16:09:33Z
2019-01-05T21:17:37Z
2019-01-05T21:17:37Z
MEMBER
null
#23524 fixes a problem with `DatetimeIndex.__array__`; we should do a thorough check of the `__array__` methods on other classes to make sure (and test) that they make sense
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23,570
Melting with not present column does not produce error
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2018-11-08T16:31:25Z
2018-11-21T17:16:11Z
2018-11-21T17:16:11Z
CONTRIBUTOR
null
#### Code Sample ```python import pandas as pd import numpy as np # Generate data people = ['Susie', 'Alejandro'] day = ['Monday', 'Tuesday', 'Wednesday'] data = [[person, d, *np.random.randint(0, 5, 2)] for person in people for d in day] df = pd.DataFrame(data, columns=['Name', 'day', 'burgers', 'fries']) ...
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23,571
Timedelta/TimedeltaIndex does not accept "unit" higher than ns
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1
2018-11-08T16:59:44Z
2020-09-28T01:30:58Z
2020-09-28T01:30:58Z
MEMBER
null
``` >>> td = np.timedelta64(1000, 'ps') >>> pd.Timedelta(td).value 1 >>> pd.Timedelta(1000, unit='ps') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "pandas/_libs/tslibs/timedeltas.pyx", line 1020, in pandas._libs.tslibs.timedeltas.Timedelta.__new__ File "pandas/_libs/tslibs/...
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23,572
df.to_stata fails when a column of type object contains only None
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2018-11-08T17:40:12Z
2021-05-23T00:20:27Z
2018-11-17T23:14:13Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame({'a': ['a', None]}) df.to_stata('test.dta') df = pd.DataFrame({'a': [None, 'a']}) df.to_stata('test.dta') df = pd.DataFrame({'a': [None, None]}) df.to_stata('test.dta') # ValueError: Writing general object a...
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23,573
Support writing unicode characters in df.to_stata()
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2018-11-08T17:46:45Z
2019-12-31T21:05:42Z
2019-12-31T21:05:42Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame({'a': ['丆']}) df.to_stata('test.dta') # UnicodeEncodeError: 'latin-1' codec can't encode character '\u4e06' in position 0: ordinal not in range(256) ``` I picked an arbitrary CJK character to test this with. ...
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23,574
Change Name of `fname` Parameter to `path` in Parquet IO Methods
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2018-11-08T18:03:41Z
2019-12-19T17:40:45Z
2019-12-19T17:40:39Z
CONTRIBUTOR
null
_Originally posted by @jreback in https://github.com/pandas-dev/pandas/pull/23321_
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Melting with not present column does not produce error
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2018-11-08T18:08:30Z
2018-11-21T17:54:41Z
2018-11-21T17:16:11Z
CONTRIBUTOR
null
- [x] closes #23570 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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23,576
PERF: Slowdown in IntervalIndex.get_loc
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2018-11-08T18:22:20Z
2018-11-09T13:29:52Z
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CONTRIBUTOR
null
https://github.com/pandas-dev/pandas/pull/20611#issuecomment-437098669 ``` asv find 7e6e7^..HEAD indexing.IntervalIndexing.time_loc_list [...] ·· Installing 365eac4d <master~642> into conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt.. ·· Benchmarking cond...
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23,577
Shouldn't the examples here ideally use notnull and not notna ??
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2018-11-08T18:23:41Z
2018-11-08T18:28:12Z
2018-11-08T18:27:33Z
CONTRIBUTOR
null
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.notnull.html#pandas.notnull Shouldn't the examples ideally use notnull and not notna ??
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API/ERR/ENH: Allow MultiIndex.from_tuples to handle NaNs
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2
2018-11-08T19:23:21Z
2018-11-13T22:22:17Z
null
CONTRIBUTOR
null
This is the origin of #23558 and #23677, but IMO worthy to fix in its own right: Trying to create a MultiIndex from a list of tuples containing NaNs (like `Index.str.partition` does if there are NaNs present) yields: ``` >>> pd.MultiIndex.from_tuples([('a', 'b', 'c'), np.nan, ('d', '', '')]) [...] TypeError: obj...
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378,884,943
MDU6SXNzdWUzNzg4ODQ5NDM=
23,579
API: tz_convert within DatetimeIndex constructor
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4
2018-11-08T19:35:47Z
2018-11-18T18:30:17Z
2018-11-18T18:30:17Z
MEMBER
null
At the moment the following raises: ``` >>> dti = pd.date_range('2016-01-01', periods=3, tz='US/Central') >>> pd.DatetimeIndex(dti, tz='Asia/Tokyo') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/datetimes.py", line 413...
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MDExOlB1bGxSZXF1ZXN0MjI5NDkyNzc4
23,580
add histogram method to series
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2018-11-08T20:08:09Z
2018-11-11T15:40:07Z
2018-11-11T00:45:21Z
NONE
null
Add a histogram method to `pandas.Series` -- just a thin wrapper around `np.histogram`. - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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23,581
API: added array
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2018-11-08T21:50:33Z
2018-12-29T02:40:02Z
2018-12-28T22:58:39Z
CONTRIBUTOR
null
Adds - a new top-level `pd.array` method for creating arrays - all our extension dtypes to the top-level API - adds pd.arrays for all our EAs TODO - [x] Add the actual array classes somewhere to the public API (pandas.arrays?) - [x] API docs for the rest of the arrays and dtypes. Closes #22860 supers...
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TST: add method/dtype coverage to str-accessor; precursor to #23167
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2018-11-08T21:57:24Z
2018-11-28T23:27:05Z
2018-11-28T14:10:35Z
CONTRIBUTOR
null
- [x] PRECURSOR to #23167 - [x] tests added / passed / xfailed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` The effort to test all methods of the `.str`-accessor against all inferred data types in #23167 unearthed a bunch of bugs. However, that PR is getting quite unwieldy, and since @jreba...
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23,583
CLN: use float64_t consistently instead of double, double_t
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2018-11-08T22:03:03Z
2018-11-11T17:10:44Z
2018-11-11T15:08:15Z
MEMBER
null
remove some commented-out or otherwise unused code disable boundscheck/wraparound in a couple places in tslib where it is safe add `const` modifiers to some of the memoryview functions so they don't raise if we ever pass read-only arrays to them standardized NPY_NAT as always being the `cdef int64_t` version a...
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MDU6SXNzdWUzNzg5NDM0MDA=
23,584
Series to_json Docstring Updates
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2018-11-08T22:26:27Z
2021-06-23T04:04:56Z
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#### Problem description Documentation for [`Series.to_json`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.to_json.html#pandas.Series.to_json) appears to have been copied from `DataFrame.to_json`. This documentation ends up misleading the user when the user wants the Series serialised to ...
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23,585
API/DEPR: replace raise_conflict-kwarg in df.update with errors
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2018-11-08T22:30:55Z
2018-11-15T13:30:40Z
2018-11-15T13:30:40Z
CONTRIBUTOR
null
From [review](https://github.com/pandas-dev/pandas/pull/23192/files#r225758408) in #23192: > pls create [an issue] to deprecate this arg and rename to `errors=` The idea is to replace the `raise_conflict=True|False` with `errors='ignore'|'raise'`. Same goes for `Panel`.
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23,586
PERF: Implement PeriodArray._unique
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2018-11-08T22:45:34Z
2018-11-14T15:23:03Z
2018-11-14T15:23:03Z
CONTRIBUTOR
null
Avoid an astype(object). ```diff diff --git a/pandas/core/arrays/period.py b/pandas/core/arrays/period.py index 5a75f2706..12191ad89 100644 --- a/pandas/core/arrays/period.py +++ b/pandas/core/arrays/period.py @@ -216,6 +216,10 @@ class PeriodArray(dtl.DatetimeLikeArrayMixin, ExtensionArray): ordinals...
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CLN: datetimelike arrays: isort, small reorg
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13
2018-11-08T23:43:50Z
2018-11-12T14:43:13Z
2018-11-12T11:42:44Z
MEMBER
null
Big diff, few real changes. Implement `__repr__` for DTA/TDA. Shared with PeriodArray implementation. Added truncation so we don't print all N elements. Adds tests for all three subclasses. Creates dedicated test files for test_datetimes and test_timedeltas Some PeriodArray methods got shuffled into weird pla...
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378,979,709
MDU6SXNzdWUzNzg5Nzk3MDk=
23,588
df.apply reports ValueError after pd.to_datetime is called
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2018-11-09T00:53:15Z
2018-11-09T03:41:16Z
2018-11-09T03:41:16Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame({'vin': ['vin1', 'vin1', 'vin1'], 'timestamp': [20181016105949, 20181016105942, 20181016105946]}) print(df) df['ts'] = pd.to_datetime(df['timestamp'], format='%Y%m%d%H%M%S') df.apply(lambda ...
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MDExOlB1bGxSZXF1ZXN0MjI5NTc5NTE2
23,589
PERF: Speeds up creation of Period, PeriodArray, with Offset freq
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8
2018-11-09T03:41:20Z
2018-11-09T14:05:39Z
2018-11-09T13:41:21Z
CONTRIBUTOR
null
master: ```python In [2]: freq = pd.tseries.offsets.Day() ...: ...: %timeit pd.Period("2001", freq=freq) 294 µs ± 5.53 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) In [3]: %timeit pd.Period._maybe_convert_freq(freq) ...: 64.7 µs ± 382 ns per loop (mean ± std. dev. of 7 runs, 10000 lo...
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379,023,950
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23,590
See if existing formatting code can be re-used for EA repr
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0
2018-11-09T05:00:12Z
2018-12-04T13:10:00Z
2018-12-04T13:09:17Z
MEMBER
null
Ref #23587
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23,591
PERF: define is_all_dates to shortcut inadvertent copy when slicing an IntervalIndex
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4
2018-11-09T07:30:01Z
2018-11-09T17:14:18Z
2018-11-09T13:29:52Z
CONTRIBUTOR
null
We get a few orders of magnitude speedup in `IntervalIndex` slicing by simply overriding the base class definition of `is_all_dates`, like all other `Index` derivatives also do. The root cause of the performance degradation is as follows: - When slicing a `Series`, a new `Series` is created for the result. - The la...
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379,087,527
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23,592
MAINT: tm.assert_raises_regex --> pytest.raises
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2018-11-09T09:35:09Z
2018-11-11T20:19:20Z
2018-11-10T22:13:35Z
MEMBER
null
`pytest.raises` has all of the functionality that we need from `tm.assert_raises_regex`. Closes #16521 (for good this time! 🙂 ). If this is something we would like to have for `0.24.0`, I would ask that this get reviewed and merged ASAP, given how massive the refactoring is and the high probability of merge conf...
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379,108,679
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23,593
API: consistent __array__ for datetime-like ExtensionArrays
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41
2018-11-09T10:36:38Z
2019-01-06T21:08:58Z
2019-01-05T21:17:37Z
MEMBER
null
closes #23569 Already makes the `__array__` for the datetimelike EAs consistent with each other and with Series/Index (for the default case of not specifying a dtype)
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23,594
Add support for extra formats to all .strftime() methods.
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2018-11-09T10:48:22Z
2021-06-23T04:06:02Z
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#### Code Sample, a copy-pastable example if possible ```python import datetime import pandas as pd x = pd.date_range(datetime.now(), periods=4, freq='Q') i0 = x.strftime('%Y-Q%q') i1 = x.to_period().strftime('%Y-Q%q') ``` #### Problem description `i0` will output values such as `'2018-Q%q'` and `i1` will ...
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23,595
ENH: Method to recover IntervalIndex when reloaing plain-text files
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2018-11-09T11:33:33Z
2021-09-09T12:33:19Z
null
NONE
null
When an IntervalIndex is written to a plain-text format (csv or with `to_string()`) the output is well-formatted. If I now reload that CSV file, the IntervalIndex is now recreated as a series / index of strings. A useful feature would be to convert that string index back into an IntervalIndex. This could potenti...
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23,596
DOC: Fix order of parameters in the docstrings
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2
2018-11-09T11:42:05Z
2018-11-11T14:50:27Z
2018-11-11T14:50:27Z
MEMBER
null
There are around 20 functions and methods in pandas that have the parameters documented in the wrong order, as reported by `./scripts/validate_docstrings.py --errors=PR03`: ``` pandas.read_table: Wrong parameters order. Actual: ('filepath_or_buffer', 'sep', 'delimiter', 'header', 'names', 'index_col', 'usecols', 'squ...
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23,597
DOC: Remove incorrect periods at the end of parameter types
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0
2018-11-09T12:01:56Z
2018-11-11T01:09:17Z
2018-11-11T01:05:55Z
MEMBER
null
There are around 20 functions and methods in pandas that have an invalid period at the end of the parameter types, as reported by `./scripts/validate_docstrings.py --errors=PR05`: ``` pandas.read_clipboard: Parameter "sep" type should not finish with "." pandas.Series.astype: Parameter "copy" type should not finish ...
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23,598
PERF: Deprecate casting of index of dates to DatetimeIndex
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5
2018-11-09T12:52:58Z
2020-09-30T02:17:40Z
2020-09-30T02:17:40Z
CONTRIBUTOR
null
```python In [5]: index = pd.Index([pd.Timestamp('2001'), pd.Timestamp('2002')], dtype=object) In [6]: pd.Series(1, index=index).index Out[6]: DatetimeIndex(['2001-01-01', '2002-01-01'], dtype='datetime64[ns]', freq=None) ``` This was the root cause of https://github.com/pandas-dev/pandas/pull/23591. Why are w...
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23,599
Issue parsing '%z' in timestamps via pd.to_datetime
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11
2018-11-09T13:24:58Z
2018-11-09T23:27:21Z
2018-11-09T19:10:53Z
NONE
null
#### Code Sample, a copy-pastable example if possible First, thanks a lot for this great library. It helps a lot in our day-to-day activities I came across odd behaviour in processing timestamps from set of my CSV files. ```python s="2018-09-10 09:30:00.000894-04:00" t1=datetime.datetime.strptime(s, "%Y-%m-%d ...
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23,600
DOC: Remove incorrect periods at the end of parameter types (#23597)
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3
2018-11-09T14:41:41Z
2018-11-11T02:20:49Z
2018-11-11T01:05:55Z
CONTRIBUTOR
null
- [x] closes #23597 - [x] passes `git diff master -u -- "*.py" | flake8 --diff`
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MDExOlB1bGxSZXF1ZXN0MjI5NzI5NTg2
23,601
Add default repr for EAs
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41
2018-11-09T15:31:00Z
2019-04-05T23:43:03Z
2018-12-04T13:09:17Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/22846 Closes https://github.com/pandas-dev/pandas/issues/23590 ```python In [4]: pd.core.arrays.period_array(['2000', '2001', None], freq='D') Out[4]: <PeriodArray> ['2000-01-01', '2001-01-01', 'NaT'] Length: 3, dtype: period[D] In [5]: pd.core.arrays.perio...
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23,602
Unexpected behavior with NaN values on str operators with categorical data
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1
2018-11-09T15:49:50Z
2018-11-09T16:14:36Z
2018-11-09T16:14:29Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd s=pd.Series(['a', 'b', np.nan]) s=s.astype('category') print(s.str.startswith('a', na=False)) print(s.str.endswith('a', na=False)) print(s.str.contains('a', na=False)) ``` #### Problem description The a...
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23,603
CLN: remove values attribute from datetimelike EAs
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4
2018-11-09T16:00:18Z
2018-11-12T11:04:01Z
2018-11-09T21:05:55Z
MEMBER
null
We don't need a `.values` attribute on the EAs (in the interface, we actually explicitly disallow it (in words and tests)). I thought there was a reason during the PeriodArray PR that this couldn't yet be removed, but relevant tests seem to be passing locally. cc @jbrockmendel
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TST: add tests for keeping dtype in Series.update
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8
2018-11-09T18:27:32Z
2018-11-20T06:53:52Z
2018-11-20T02:17:28Z
CONTRIBUTOR
null
- [x] precursor to #23192 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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23,605
TST: Test failure on 32bit for TestSparseGroupBy.test_aggfuncs
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2018-11-09T18:32:21Z
2018-11-21T17:36:56Z
2018-11-21T17:36:56Z
MEMBER
null
The `test_aggfuncs` test in `/sparse/test_groupby.py` is failing on 32bit: https://travis-ci.org/MacPython/pandas-wheels/jobs/451706570#L5281 Specifically, the pytest output: ``` _______________________ TestSparseGroupBy.test_aggfuncs ________________________ self = <pandas.tests.sparse.test_groupby.TestSparseGro...
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23,606
API/BUG: unnecessary upcasting for df.update
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1
2018-11-09T18:44:53Z
2021-06-23T04:06:50Z
null
CONTRIBUTOR
null
I looked through all the open issues with update and dtype in them, but didn't find something - apologies if an issue exists already. Consider: ``` >>> import pandas as pd >>> s = pd.Series([10, 11, 12]) >>> t = pd.Series([61, 63], index=[1, 3]) >>> s.update(t) >>> s 0 10 1 61 2 12 dtype: int64 `...
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https://api.github.com/repos/pandas-dev/pandas/issues/23607
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379,344,729
MDExOlB1bGxSZXF1ZXN0MjI5ODM3NDM2
23,607
DOC: Adding validation of the section order in docstrings
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2018-11-09T22:31:13Z
2018-11-12T15:33:48Z
2018-11-12T15:33:48Z
MEMBER
null
- [X] closes #23133 - [X] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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379,357,630
MDExOlB1bGxSZXF1ZXN0MjI5ODQ3Njcw
23,608
BUG: Fix line_terminator option
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14
2018-11-09T23:30:46Z
2019-01-29T22:57:47Z
2019-01-29T22:57:47Z
NONE
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- [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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23,609
TST: Use intp as expected dtype in IntervalIndex indexing tests
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2018-11-09T23:51:06Z
2018-11-11T13:15:42Z
2018-11-10T04:24:09Z
MEMBER
null
xref https://github.com/pandas-dev/pandas/pull/23468#issuecomment-437335512: fixes some failing 32bit tests
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23,610
Mixing strings and tuples in an index sometimes throws in an exception when selecting columns.
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2018-11-10T03:43:31Z
2018-11-11T01:35:44Z
2018-11-11T01:35:39Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame({"a":[1], ("b", "c"):[2]}) df[["a", ("b", "c")]] ``` results in ```ValueError: setting an array element with a sequence``` #### Problem description Arguably this is a bug with np.asarray() (https://gith...
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379,390,207
MDExOlB1bGxSZXF1ZXN0MjI5ODcwMjQ3
23,611
DOC: Fix Order of parameters in docstrings
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2018-11-10T04:46:46Z
2019-01-02T20:26:28Z
2018-11-11T14:50:27Z
CONTRIBUTOR
null
- [ ] closes #23596 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Fix the following: ```diff pandas.io.json.json_normalize: Wrong parameters order. Actual: ('data', 'record_path', 'meta', 'meta_prefix', 'record_prefix', 'errors', 'sep'). Documented: ('data', '...
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