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https://api.github.com/repos/pandas-dev/pandas/issues/24012
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24,012
Development conda environment taking >45 minutes to solve
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2018-11-30T12:31:25Z
2018-12-01T12:09:44Z
2018-12-01T12:09:44Z
MEMBER
null
When creating a new environment from our `environment.yml`, it takes more than 45 minutes to solve (one of the steps of the environment creation). This happens both locally, and in the CI of #22854, which uses that file for one of the builds. ``` 2018-11-30T03:02:59.3313236Z [create env] 2018-11-30T03:49:30.352790...
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24,013
TST/CLN: parametrize tests\resample\test_time_grouper.py
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2018-11-30T12:38:06Z
2018-12-03T13:14:18Z
2018-12-03T12:30:53Z
MEMBER
null
- [n/a] xref #17806 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [n/a] whatsnew entry
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24,014
Unnecessary bare except at class Block, function interpolate hides actual error
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2018-11-30T12:52:45Z
2019-02-11T16:08:48Z
2019-02-11T16:08:48Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Minimal example: import pandas as pd df = pd.Series([0,1,pd.np.nan,3,4]) df.interpolate(method='spline') Traceback (most recent call last): File "<input>", line 1, in <module> File "D:\venvs\food_and_drinking\lib\site-packages\pandas\core\g...
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24,015
DEPS: Pinning versions of some dependencies to speed up environment creation
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2018-11-30T14:40:39Z
2018-12-01T12:09:48Z
2018-12-01T12:09:44Z
MEMBER
null
- [X] closes #24012 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Conda is taking 45 minutes to create an environment with our `environment.yml`. While this is a bug in conda, it won't be fixed until the next version. So, a workaround for now ...
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386,221,763
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24,016
GroupBy aggregate: Must produce aggregated value
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2018-11-30T14:59:10Z
2018-11-30T16:55:24Z
2018-11-30T16:54:55Z
NONE
null
I want to aggregate my dataframe by id and this is not the first time I came across this error, which is basically happening because it seems not to be allowed to return a numpy array in the aggregation function. There are dozens of use cases, where rows are aggregated to numpy arrays and wrapping it with a list does ...
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24,017
DataFrame or Series.replace(dict) for same type to type replacement produces undesired results
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2018-11-30T15:57:16Z
2018-12-01T16:09:05Z
2018-12-01T16:09:05Z
NONE
null
#### Code Sample ```python import pandas as pd # a base data series to work on base_sr = pd.Series((c for c in 'ABCDEFG')) # the replacement rules: from -> to repl_d = {'A': 'C', 'B': 'C', 'C': 'D', 'D': 'F', 'E': 'D', 'F': 'C', 'G': 'C', } ...
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24,018
df.style.render() not producing valid html
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2018-11-30T16:25:21Z
2018-11-30T16:34:59Z
2018-11-30T16:34:59Z
NONE
null
#### Code Sample, a copy-pastable example if possible Code is copied from [Styling](https://pandas.pydata.org/pandas-docs/stable/style.html). ```python np.random.seed(24) df = pd.DataFrame({'A': np.linspace(1, 10, 10)}) df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))], axis=1) d...
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24,019
Numerical issue with rolling cov and corr
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2018-11-30T17:31:30Z
2020-10-14T10:09:22Z
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#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd a = pd.Series([1e5, 0, 0, 0, 0]) b = pd.Series([9.45] * 5) c1 = a.rolling(5).corr(b).iloc[4] c2 = a.corr(b) v1 = a.rolling(5).cov(b).iloc[4] v2 = a.cov(b) assert c1 == c2 assert v1 == v2 ``` #### Problem ...
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386,285,557
MDU6SXNzdWUzODYyODU1NTc=
24,020
Allow dtype promotion in Series[ExtensionArray].__setitem__?
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2018-11-30T17:42:53Z
2021-06-23T05:01:53Z
null
CONTRIBUTOR
null
Pandas typically allows for `__setitem__` to change an object's dtype. ```python In [5]: a = pd.Series([1, 2]) In [6]: a[0] = 'a' In [7]: a Out[7]: 0 a 1 2 dtype: object ``` This typically won't work for ExtensionArrays: ```python In [8]: b = pd.Series([1, 2], dtype='Int64') In [9]: b[0] ...
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24,021
BUG: GH24011 - Rich comparisons of Timestamps now return NotImplemented
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2018-11-30T17:49:28Z
2019-04-05T00:40:52Z
2019-04-05T00:40:48Z
CONTRIBUTOR
null
- [x] closes #24011 - [x] tests added / passed (see https://github.com/AlexandreDecan/pandas/blob/fix-24011/pandas/tests/tslibs/test_tslib.py#L26) - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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386,291,364
MDU6SXNzdWUzODYyOTEzNjQ=
24,022
type integrity failure astype vs read_csv
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6
2018-11-30T18:00:47Z
2020-01-24T07:11:20Z
2020-01-24T07:11:11Z
NONE
null
I'm having a problem with pandas where dataframes loaded from csv seem to revert to their origional dtypes when I set their indexes after processing. Look at this: ``` #Both these dicts contain columns and column types. They are the same # except for two records - dtypesA lists columns ('ga:date', 'ga:minute') #...
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386,313,696
MDExOlB1bGxSZXF1ZXN0MjM1MDg2OTAz
24,023
PERF: Use Categorical.equals in CategoricalIndex.equals
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3
2018-11-30T19:11:14Z
2018-11-30T21:32:51Z
2018-11-30T21:32:49Z
CONTRIBUTOR
null
Avoids a materialization of the full array. ```python import pandas as pd import numpy as np import string a = pd.CategoricalIndex(np.random.choice(list(string.ascii_letters[:10]), 100_000)) b = a.copy() c = pd.CategoricalIndex(np.random.choice(list(string.ascii_letters[:10]), 100_000)) print("eq-index"...
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386,337,253
MDExOlB1bGxSZXF1ZXN0MjM1MTA1NDMw
24,024
REF: DatetimeLikeArray
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144
2018-11-30T20:23:49Z
2019-01-04T16:04:24Z
2019-01-02T18:20:35Z
CONTRIBUTOR
null
TODO: - [x] DatetimeLikeArrayMixin.astype(int) ignores sign and size? - [ ] _from_sequence too permissive? - [x] OK with DatetimeArray.view? - [x] tz vs. dtype in `DatetimeArray.__init__`: https://github.com/pandas-dev/pandas/pull/24024#discussion_r241445450 - [ ] Index._simple_new consistency: https://github.co...
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386,370,707
MDU6SXNzdWUzODYzNzA3MDc=
24,025
Add columns-parameter like in feather.read_dataframe
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2
2018-11-30T22:15:33Z
2018-12-04T12:23:53Z
2018-12-04T12:23:53Z
NONE
null
Wes suggested to raise this feature request here again, after I wondered why `pandas.read_feather` is lacking a `columns`-parameter like the [`feather-format`](https://github.com/wesm/feather) package has it. You can read in only a subset of columns from a feather-file with e.g.: `df = feather.read_dataframe('df_t...
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386,378,108
MDExOlB1bGxSZXF1ZXN0MjM1MTM3Mjcx
24,026
CLN: use unicode literals instead of compat.u
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10
2018-11-30T22:44:05Z
2019-09-17T18:58:25Z
2018-12-05T12:56:48Z
MEMBER
null
This gets _most_ of the non-test usages
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386,382,423
MDExOlB1bGxSZXF1ZXN0MjM1MTQwNjk1
24,027
BUG: Fix concat series loss of timezone
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23
2018-11-30T23:03:45Z
2018-12-05T23:22:15Z
2018-12-05T23:21:47Z
CONTRIBUTOR
null
Closes #23816
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386,398,848
MDU6SXNzdWUzODYzOTg4NDg=
24,028
CI: Use all available cores in the CI
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9
2018-12-01T00:34:14Z
2020-09-24T09:59:57Z
2020-09-24T09:59:57Z
MEMBER
null
If I'm not wrong, both Travis and Azure provide two cores for the execution of jobs (I think in both cases the number does not necessarily need to be 2, and could be higher, or I guess lower, depending on their load). So far we are just parallelizing the execution of tests, where we are using 2 processes in most cas...
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24,029
TST: Check error message in overlapping bins test
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2018-12-01T01:09:34Z
2018-12-01T01:59:26Z
2018-12-01T01:59:00Z
MEMBER
null
Follow-up to #23999. xref #23922. cc @jschendel @charlesdong1991
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24,030
Duplicate PR of #22854 (testing publishing docs from azure)
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4
2018-12-01T01:27:34Z
2018-12-05T23:11:31Z
2018-12-01T11:17:04Z
MEMBER
null
Publishing the docs from azure only works for changes that do not come from a fork. This PR is from a branch in the same pandas repo, to test that publishing works. But once confirmed that the publishing works, I'll close it, and the changes will be merged in #22854.
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PERF: do NPY_NAT check inside get_datetime64_nanos
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3
2018-12-01T01:27:55Z
2018-12-02T16:41:05Z
2018-12-02T16:40:14Z
MEMBER
null
Bonus of a little simplification in `array_to_datetime` The perf pickup comes from changing a python call `ts.view('i8')` to a cython call `get_datetime64_value(ts)`. ``` In [3]: val = np.datetime64('NaT', 'D') In [4]: %timeit pd.Timestamp(val) ``` master (leaving out "The slowest run [...]" ``` 100000 lo...
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386,411,481
MDExOlB1bGxSZXF1ZXN0MjM1MTYyMTE2
24,032
REF: Move non-raising parts of array_to_datetime outside of try/except
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5
2018-12-01T02:14:03Z
2018-12-02T19:19:22Z
2018-12-02T18:03:45Z
MEMBER
null
Bit by bit we untangle this function.
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386,434,584
MDU6SXNzdWUzODY0MzQ1ODQ=
24,033
Should our custom DTypes have a __len__ ?
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3
2018-12-01T07:46:59Z
2021-06-23T05:03:18Z
2021-06-23T05:03:18Z
MEMBER
null
This came up in https://github.com/scikit-learn/scikit-learn/issues/12699. Numpy dtypes have a lenght defined. For normal dtypes, this is 0: ``` In [21]: len(np.dtype('int64')) Out[21]: 0 ``` but for structured dtypes this is the number of fields. For our custom dtypes, you get a TypeError: ``` In [...
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24,034
ENH: Add columns argument to read_feather() (#24025)
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2018-12-01T10:16:11Z
2018-12-04T12:25:45Z
2018-12-04T12:23:53Z
CONTRIBUTOR
null
- [x] closes #24025 - [x] tests added / ~~passed~~ - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry I have added test case but when running ``` pytest pandas/tests/io/test_feather.py ``` test cases (including some of already existing test cases) fails with error ```...
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24,035
Python3: Adding multicolumn rows in empty dataframe
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4
2018-12-01T11:09:16Z
2018-12-02T23:14:25Z
2018-12-01T12:54:31Z
NONE
null
#### My Code import pandas as pd data = pd.read_csv('input_file', header = None, delimiter="\t", names = ['chr', 'sTSS', 'eTSS', 'gene', 'clust1', 'clust2']) row_filter_column_clust2_1 = pd.DataFrame(columns = data.columns, index=data.index) row_filter_column_clust2_1.append(data.loc[0]) #Row is not appended pri...
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24,036
Clarify how to cite pandas in scientific papers
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31
2018-12-01T14:07:55Z
2021-08-25T11:36:29Z
2021-06-23T05:05:52Z
NONE
null
Dear developers, first thank you for your great work. I'd like to reference my use of pandas in my scientific work, but have been unable to find a recommendation how to cite this. I'm aware of https://pandas.pydata.org/talks.html, but the "papers" seem to refer to conference proceedings (slides) that lack a publis...
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24,037
DOC: Improve "inplace" param in Dataframe.rename() docs
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2018-12-01T17:39:36Z
2018-12-03T11:58:40Z
2018-12-03T11:58:40Z
CONTRIBUTOR
null
- [x] closes #23076 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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24,038
REF: Refactor Date/TimeLikeOps
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2018-12-01T20:16:55Z
2018-12-03T12:29:23Z
2018-12-02T16:56:51Z
CONTRIBUTOR
null
No real functional changes, just an inheritance reorganization to make the diff at #24024 smaller. Changes: - Removes DatelikeOps from PeriodIndex (already had strftime via delegation) - Moves Date/TimelikeOps from DatetimeIndex to DatetimeArray - Moves TimelikeOps from TimedeltaIndex to TimedeltaArray
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REF: Refactor Datetimelike delegation
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2018-12-01T20:32:14Z
2018-12-03T13:36:30Z
2018-12-03T13:36:14Z
CONTRIBUTOR
null
This is a generalization of PeriodIndex's dispatching to PeriodArray, without any actual changes yet. This is split from #24024, where DatetimeIndex and TimedeltaIndex will implement and inherit from delgates similiar to PeriodDelegateMixin.
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REF/TST: Add more pytest idiom to mi indexing tests
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2018-12-01T23:54:19Z
2018-12-24T09:20:34Z
2018-12-02T20:07:02Z
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- [n/a ] follow on from #23912 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [n/a ] whatsnew entry for this pass: - the Test classes have been removed. - `catch_warnings` used for the `.ix` deprecation replaced with `@pytest.mark.filterwarnings("ignore:\\...
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24,041
CLN: Adjust cdef types to fix MacPython 32 bit build
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2018-12-02T04:26:55Z
2018-12-02T21:51:44Z
2018-12-02T16:39:32Z
MEMBER
null
- [x] closes https://github.com/pandas-dev/pandas/pull/23984#issuecomment-443179198 - [ ] tests added / passed Removing the types from these array declarations because the MacPython 32 bit build was failing. cc @jreback
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2018-12-02T10:14:19Z
2018-12-02T22:50:53Z
2018-12-02T22:50:53Z
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24,043
ENH: Support datetime.time objects with tzinfo in between_time and at_time
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2018-12-02T11:06:38Z
2019-02-16T17:56:49Z
2019-02-16T17:56:49Z
NONE
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The functions for DataFrame, "between_time" and "at_time" are unfortunately not time zone aware. I suggest adding a timezone parameter to these functions to clearly specify which time zone the requested time belongs to. The sampler should take into account the time zone of data frame, and the supplied time zone. ...
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24,044
BUG: .str.cat for all-na corner case
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2018-12-02T11:35:37Z
2018-12-02T20:58:49Z
2018-12-02T20:58:49Z
CONTRIBUTOR
null
A corner case that wrongly casts to FloatIndex if the result is all-na (e.g. due to alignment) ``` import pandas as pd >>> idx = pd.Index(['a', 'b', 'c']) >>> idz = pd.Index(['d', 'e', 'f']) >>> idx.str.cat(idz, join='left') Float64Index([nan, nan, nan], dtype='float64') ```
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BUG: all-na corner case for str.cat
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2018-12-02T11:56:17Z
2018-12-02T23:14:53Z
2018-12-02T20:58:49Z
CONTRIBUTOR
null
- [x] closes #24044, split off from #23167 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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24,046
API: capabilities of df.set_index
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2018-12-02T13:11:10Z
2021-06-23T05:06:53Z
null
CONTRIBUTOR
null
This is coming out of a discussion that has stalled #22225 (which is about adding `.set_index` to Series, see #21684). The discussion has shifted away from what capabilities a putative `Series.set_index` should have, but what capabilities `df.set_index` has *currently*. The main issue (for @jreback) is that `df.set_...
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24,047
Add test for rdivmod on EA array (GH23287)
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2018-12-02T13:34:22Z
2019-03-20T00:05:21Z
2019-03-20T00:05:18Z
CONTRIBUTOR
null
- closes #23287 - test added - passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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24,048
Deprecate series.nonzero (GH18262)
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2018-12-02T15:01:14Z
2019-01-05T22:47:49Z
2019-01-05T22:47:46Z
CONTRIBUTOR
null
xref #18262 - passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - whatsnew entry
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REF: array_to_datetime catch overflows in one place
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2018-12-02T16:16:37Z
2018-12-02T21:39:58Z
2018-12-02T21:36:20Z
MEMBER
null
The diff is big, but all this is doing is changing: ``` if A: try: foo(...) except OutOfBoundsDatetime: handle(...) elif B: try: bar(...) except OutOfBoundsDatetime: handle(...) ... ``` to: ``` try: if A: foo(...) elif B: ...
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2018-12-02T18:16:04Z
2019-01-04T16:58:42Z
2019-01-04T12:15:24Z
CONTRIBUTOR
null
- [x] follows up on the changed in #17066 - [x] tests adapted / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry I know that `v.0.22` is generally not counted towards the "3 major releases between warning and deprecation" policy, but since this is a private method, ...
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2018-12-02T18:21:15Z
2018-12-03T12:29:00Z
2018-12-03T12:28:56Z
MEMBER
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Removing from the list of ignored files in flake8-rst, the pages that have been fixed before the ignore list was merged.
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DOC: Fix PEP-8 issues in io.rst
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2018-12-02T20:26:13Z
2018-12-13T12:57:09Z
2018-12-11T13:54:10Z
MEMBER
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xref #24040 for this pass: - the Test classes have been removed. - `catch_warnings` used for the `.ix` deprecation replaced with `@pytest.mark.filterwarnings("ignore:\\n.ix:DeprecationWarning")` at test level. cc @jreback @gfyoung
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Python3: How to split the tuple generated by the .groupby function in pandas
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2018-12-03T01:47:32Z
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####My Code data = pd.read_csv('input_file', header = None, delimiter="\t", names = ['chr', 'sTSS', 'eTSS', 'gene', 'clust1', 'clust2']) dup_clust2 = data.groupby('clust2').filter(lambda x: len(x) > 1) for element in dup_clust2.groupby('clust2'): print(element) ####Required Output: split tuple in two l...
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BUG/TST: Fix TimedeltaIndex comparisons with invalid types
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2018-12-02T23:52:30Z
2018-12-05T14:44:09Z
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MEMBER
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Parametrize a handful of tests. - [x] closes #23063 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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DataFrame.rolling.size not implemented and errors in aggregation
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#### Code Sample, a copy-pastable example if possible ```python >>> idx = pd.date_range('2012-1-1', periods=20) >>> data = np.random.rand(len(idx)) >>> data[5] = np.nan >>> s = pd.Series(data, idx) >>> s.rolling('5D').size() AttributeError: 'Rolling' object has no attribute 'size' # no error with `agg`, b...
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DOC: Fix order of sections in Series docstrings
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2018-12-06T12:03:15Z
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For consistency and to make our users life easier, we try to keep the same order of the sections in docstrings. The right order of the sections is the defined by the numpydoc standard: https://numpydoc.readthedocs.io/en/latest/format.html#sections Checking for errors in pandas `Series` attributes, we find many ca...
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DOC: Fix quotes position in Series docstrings
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2018-12-03T01:30:29Z
2018-12-03T15:18:11Z
2018-12-03T15:18:10Z
MEMBER
null
To keep out docstrings consistent, and make them easier to read, we try to keep always the same exact format. In the case of the opening and closing quotes, the right format is: ``` def foo(): """ Summary of the docstring. Returns ------- str Explaining what is being returned. ...
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2018-12-03T02:14:07Z
2019-01-25T22:00:11Z
2019-01-25T21:34:07Z
CONTRIBUTOR
null
Tracking issue [Open PRs](https://github.com/pandas-dev/pandas/pulls?q=is%3Aopen+is%3Apr+milestone%3A0.24.0) [Open Issues](https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+milestone%3A0.24.0) Let's whittle down. I just looked the lastest whatsnew and its huge. Let's get this out sooner rather t...
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24,061
CI: Log of the benchmarks doesn't keep the line breaks
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2018-12-03T10:56:36Z
2018-12-03T15:59:32Z
2018-12-03T15:59:32Z
MEMBER
null
The log displayed in azure-pipelines for the benchmarks, doesn't keep the line breaks, making it very difficult to read. See: https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=4580
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24,062
CI: Fixing benchmark log
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2018-12-03T11:02:22Z
2018-12-03T15:59:35Z
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MEMBER
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- [X] closes #24061 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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WIP/DEPR: Deprecate inplace=True
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2018-12-03T11:55:52Z
2019-01-09T21:25:27Z
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MEMBER
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- [X] refs #16529 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry @jreback can you take a look and let me know if you're happy with the way I'm deprecating ``inplace=True`` here? I need to repeat the same lots of time, so would be nice to have a...
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24,064
TST: Implement tests for Date/TimelikeOps directly on array
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2018-12-03T12:31:10Z
2020-05-22T03:30:32Z
null
CONTRIBUTOR
null
followup to https://github.com/pandas-dev/pandas/pull/24038, blocked by #24024. Once #24024 we should move the majority of the tests hitting Date/TimelikeOps over to using the array class, and then have a few tests ensuring that the index index wrapping still works.
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DOC: Fix quotes position in Series docstrings
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- [ ]xref #24059 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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24,066
DOC: Added array section for DatetimeArray
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2018-12-03T13:31:17Z
2019-01-05T14:52:55Z
2019-01-05T14:52:55Z
CONTRIBUTOR
null
Followup to https://github.com/pandas-dev/pandas/pull/23581, blocked by #24024. Need to add a section to api.rst about DatetimeArray, TimedeltaArray, and DatetimeTZDtype.
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Explicitly include "private" ExtensionArray methods in API docs
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2018-12-03T13:38:01Z
2019-07-15T17:11:32Z
2019-07-15T17:11:32Z
CONTRIBUTOR
null
Seems like the developer methods like `_values_for_facotrize` are excluded from autodoc. http://pandas-docs.github.io/pandas-docs-travis/generated/pandas.api.extensions.ExtensionArray.html#pandas.api.extensions.ExtensionArray We should be able to explicitly list out the methods / attributes that are public. Ma...
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DOC: Make _field_accessor manage the docstring format
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2018-12-03T14:42:03Z
2018-12-05T14:28:30Z
2018-12-05T14:28:30Z
MEMBER
null
We started to validate the formats of docstrings. For example, we expect that the summary of the docstring starts in the next line of the opening `"""` (see #24059). In some cases the docstrings are generated dynamically, and in the case of `_field_accessor`, we have to write some line breaks to avoid the validation...
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DOC: Correct/update skipna docstrings for `any` and `all` (#23109)
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2018-12-03T15:15:45Z
2018-12-17T15:10:11Z
2018-12-10T15:22:15Z
CONTRIBUTOR
null
Also, include examples with NA values and describe treatment of NA with `skipna == False` - [x] closes #23109 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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24,070
DOC: Fix quotes position in Timestamp and Timedelta
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2018-12-03T15:19:56Z
2019-03-30T18:53:54Z
2019-03-30T18:53:54Z
MEMBER
null
To keep out docstrings consistent, and make them easier to read, we try to keep always the same exact format. In the case of the opening and closing quotes, the right format is: ``` def foo(): """ Summary of the docstring. Returns ------- str Explaining what is being returned. ...
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24,071
DOC: Fix quotes position in pandas.core
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2018-12-03T15:22:49Z
2019-06-21T02:10:49Z
2019-06-21T02:10:49Z
MEMBER
null
To keep out docstrings consistent, and make them easier to read, we try to keep always the same exact format. In the case of the opening and closing quotes, the right format is: ``` def foo(): """ Summary of the docstring. Returns ------- str Explaining what is being returned. ...
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DOC: Make _field_accessor manage the docstring format
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2018-12-03T15:39:23Z
2018-12-04T19:46:25Z
2018-12-04T19:46:25Z
MEMBER
null
- [x] closes #24068 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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24,073
TST: use s3_resource fixture consistently
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6
2018-12-03T18:02:19Z
2018-12-04T07:42:05Z
2018-12-04T02:46:23Z
CONTRIBUTOR
null
- [x] split off from #23731 - [x] tests modified / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` There are two boto tests that are not using the dedicated `s3_resource` fixture which takes care of all the mocking etc. This PR adapts those tests accordingly, which also allows unified t...
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24,074
Implement DatetimeArray._from_sequence
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2018-12-03T18:04:31Z
2018-12-06T00:13:18Z
2018-12-05T22:44:50Z
MEMBER
null
Removes dependence of `DatetimeArray.__new__` on `DatetimeIndex`. De-duplicated `DatetimeIndex.__new__`/`DatetimeArray.__new__`. The contents of `DatetimeArray._from_sequence` are basically just moved from `DatetimeIndex.__new__`. This is feasible because #23675 disentangled `to_datetime` from `DatetimeIndex.__new...
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24,075
CI/TST: Making ci/run_tests.sh fail if one of the steps fail
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2018-12-03T18:47:14Z
2018-12-04T11:43:25Z
2018-12-04T11:21:40Z
MEMBER
null
Looks like when simplifying the running of the tests in the CI (#23924), I missed the `-e` in the bash header. And that makes the `ci/run_tests.sh` exit with status code 0, even if the calls to pytests fail. This left the CI in green, even when tests fail for the last 3 days (sorry about that). I think nothing is br...
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24,076
Slicing DatetimeIndex should be timezone aware
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2018-12-03T19:46:47Z
2019-02-24T03:37:39Z
2019-02-24T03:37:39Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here import numpy as np import pandas as pd idx = pd.DatetimeIndex(start='2018-12-02 14:50:00-07:00', end='2018-12-03 03:11:00-07:00', freq='1min') df = pd.DataFrame(np.random.randn(len(idx), 1), index=idx, columns=['A']) df['201...
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24,077
Support ExtensionArray types in where
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2018-12-03T20:29:38Z
2018-12-10T15:21:08Z
2018-12-10T15:21:08Z
CONTRIBUTOR
null
This is blocking DatetimeArray. It's also a slight regression from 0.24, since things like `.where` on a DataFrame with period objects would work (via object dtype). I think the easiest place for this is by defining `ExtensionBlock.where`, and restricting it to cases where the dtype of `self` and `other` match (so t...
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24,078
BUG: to_datetime with unit mapping ignores utc and box arguments
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2018-12-03T21:56:09Z
2018-12-03T23:09:58Z
2018-12-03T23:03:31Z
NONE
null
- [ ] closes #23760 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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24,079
DataFrame.fillna() fails with categorical columns present when trying to fill missing values in numeric columns with NaNs
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2018-12-03T22:49:39Z
2020-12-16T02:16:01Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd df = pd.DataFrame(np.random.randint(0, 3, (3, 3)), columns=list('ABC')).astype(np.float32) df.B.iloc[1] = None df.A = df.A.astype('category') df.fillna(-9999) --------------------------------------------...
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MDExOlB1bGxSZXF1ZXN0MjM1NjIzMDQx
24,080
remove calls to DataFrame.consolidate in benchmarks
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2018-12-03T23:03:31Z
2018-12-09T18:48:42Z
2018-12-04T02:51:03Z
CONTRIBUTOR
null
The ``DataFrame.consolidate`` method has been removed for 0.24 (in #23377), but there are still some calls to it in the asv benchmarks. I had a failure in #23752 because of this, so hereby a fix. This PR uses the internal ``_consolidate`` method instead.
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24,081
TST: Implement lock decorator for single tests
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2018-12-03T23:16:59Z
2018-12-04T01:38:44Z
2018-12-03T23:58:59Z
MEMBER
null
At the moment in the CI, for every build, we run our tests twice, one with a filter to run the tests marked as `single` (`@pytest.mark.single`) and the second one the ones NOT marked as `single` (we call them `multi`). The reason for this, is that we usually run the tests in parallel (we can use 2 processes in the C...
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24,082
Handle utc and box parameters for to_datetime
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2018-12-03T23:24:16Z
2018-12-24T19:51:22Z
2018-12-24T19:51:21Z
NONE
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- [ ] closes #23760 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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24,083
PERF: Define PeriodArray._values_for_argsort
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2018-12-04T00:24:46Z
2018-12-04T02:33:47Z
2018-12-04T02:33:44Z
CONTRIBUTOR
null
This PR speeds up `.groupby()` and `.set_index()` operations involving a `PeriodArray` by 25-64x: ``` asv compare upstream/master HEAD -s --sort ratio Benchmarks that have improved: before after ratio [08395af4] [696b40f1] <period_array_argsort~1> <parse_time_str...
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PERF: consolidate imports inside parse_time_string
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7
2018-12-04T00:38:56Z
2018-12-05T12:17:32Z
2018-12-05T12:17:29Z
CONTRIBUTOR
null
This PR adds an asv benchmark for the creation of `Period` objects directly from integers, and an associated speedup for the same case. When calling `Period._from_ordinal()`, the runtime is unfortunately dominated by a pair of import statements needed to pull in the global config settings `display.date_dayfirst` and...
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24,085
DataFrames don't handle input arrays of dtype str/bytes consistently.
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2018-12-04T04:16:14Z
2018-12-04T14:48:02Z
2018-12-04T14:47:20Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python In [3]: arr = np.array(['ab', 'bc', 'cd'], bytes) In [4]: ar...
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DOC: Use a standard header for all rst files
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2018-12-04T08:50:54Z
2018-12-10T12:28:43Z
2018-12-09T17:53:01Z
CONTRIBUTOR
null
- [x] closes #23952 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Comparisons between datetime64[ns]
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2018-12-04T10:51:13Z
2018-12-05T11:21:25Z
2018-12-05T11:21:14Z
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#### Code Sample, a copy-pastable example if possible **content of dataframe j** _REFERENCIA FECHAPROGRAMA FECHAENVIO NECESIDAD_ 0 81007104 2015-04-04 2016-01-04 1038.0 1 81007104 2015-04-11 2016-01-04 1281.0 4 81007104 2015-04-18 2016-01-04 1172.0 ... 1228 81007104 ...
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24,088
CI: mpl test failures
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2018-12-04T12:55:38Z
2018-12-04T15:19:06Z
2018-12-04T15:19:06Z
CONTRIBUTOR
null
https://travis-ci.org/pandas-dev/pandas/jobs/463295292; keep failing even with a restart. ``` =================================== FAILURES =================================== _____________________ TestTSPlot.test_is_error_nozeroindex _____________________ [gw0] linux -- Python 3.6.6 /home/travis/miniconda3/envs/p...
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DOC: Fix PEP-8 issues in indexing-, missing_data-, options- and release.rst
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TST: Work around statsmodels bug
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2018-12-04T14:25:25Z
2020-04-29T02:34:41Z
2018-12-04T15:19:06Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/24088
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24,091
BUG: loc behaves incorrectly on PeriodIndex within MultiIndex with 3 levels
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2018-12-04T14:41:43Z
2021-06-23T05:09:32Z
null
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#### Code Sample ```python import pandas as pd pd.show_versions() p_index = pd.PeriodIndex(["20181101 1100", "20181101 1200", "20181102 1300", "20181102 1400"], name='datetime', freq="B") mi_series = pd.DataFrame([["A", "B", 1.0], ["A", "C", 2.0], ["Z", "...
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CI: remove failing line
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24,093
Automatically keep categorical type on merge
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2018-12-04T15:36:45Z
2020-06-28T23:14:28Z
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd dd1=pd.DataFrame({"a":pd.Series(["x"], dtype="category")}) dd2=pd.DataFrame({"a":pd.Series(["x", "y"], dtype="category")}) dd3=dd1.merge(dd2) dd3.dtypes # categorical turns into object type ``` #### Problem description It ...
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24,094
`pd.Timestamp() + pd.TimedeltaIndex()` drops timezone
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2018-12-04T16:00:40Z
2018-12-04T17:09:26Z
2018-12-04T17:09:25Z
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#### Code Sample, a copy-pastable example if possible ```python td = pd.TimedeltaIndex(['00:00:00.059000', '00:00:00.156700']) start_time = pd.Timestamp('2018-11-30 16:55:21-0700') idx = start_time + td # DatetimeIndex(['2018-11-30 23:55:21.059000', '2018-11-30 23:55:21.156700'], dtype='datetime64[ns]', freq...
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24,095
CLN: remove unused import of warnings module
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2018-12-04T16:29:41Z
2018-12-09T18:49:03Z
2018-12-04T16:46:02Z
CONTRIBUTOR
null
I forgot to remove a import line in #24080 as the warning module is no longur used in ``frame_methods.py`` and we now get a linting error. This PR fixes that.
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24,096
BUG: fix mutation of DTI backing Series/DataFrame
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2018-12-04T17:51:54Z
2018-12-05T20:29:38Z
2018-12-05T20:19:47Z
MEMBER
null
Fixes (at least some) verify_integrity bugs discussed in #24074. - [x] closes #21907 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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CLN: fix asv setup_cache() for groupby.AggFunctions benchmarks
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CONTRIBUTOR
null
This PR fixes a typo in an `asv` benchmark and additionally clarifies a misleading result. Simply fixing the typo leads to this rather surprising result where the single column benchmark is ~6x slower than the multi-column benchmark: ``` $ asv dev -b groupby.AggFunctions · Discovering benchmarks · Running 4 tota...
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DOC: Use official numpydoc extension
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2018-12-04T19:23:02Z
2018-12-17T13:55:32Z
2018-12-15T16:39:44Z
CONTRIBUTOR
null
- Replace custom numpydoc in `doc/sphinxext/numpydoc` with official numpydoc release - Remove `numpydoc_use_blockquotes` parameter
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DOC: Make _field_accessor manage the docstring format
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2018-12-04T19:45:34Z
2018-12-05T14:28:33Z
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MEMBER
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- [x] closes #24068 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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REF: Separate out DataFrame/Series Construction Helpers
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2018-12-04T21:03:14Z
2018-12-05T14:46:16Z
2018-12-05T12:55:49Z
MEMBER
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Why? In implementing #24096 I found it tough to tell all the paths by which a DatetimeIndex get passed to a DataFrame or Series. Collecting all these helper functions is a step towards reducing the number of paths available so these things can be caught in one place. The main thing this PR does is move helper func...
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24,101
Pickling on Windows raises EOFError
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2018-12-04T21:23:09Z
2019-05-05T17:40:07Z
2019-05-05T17:40:07Z
NONE
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I am using Mac OS 10.13.6, and everything runs smoothly for me. However, I was sent a screenshot from a client running the code on Windows, and he is hitting an `EOFError` . ![program py-error](https://user-images.githubusercontent.com/32043053/49473534-2d939780-f7c7-11e8-9c2a-ab1559433ea4.jpg) This is the code i...
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Check import warning
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2018-12-04T22:07:01Z
2018-12-05T12:15:34Z
2018-12-05T12:15:23Z
CONTRIBUTOR
null
We usually catch uses of deprecated modules, but I think this may have slipped through since it's at import time.
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24,103
BUG: resample ignores 'kind' argument, always behaves like kind='datetime'
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2018-12-04T22:26:21Z
2021-06-23T05:11:15Z
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#### Code Sample ```python import pandas as pd pd.show_versions() index = pd.DatetimeIndex(["20181101 1100", "20181101 1200", "20181102 1300", "20181102 1400"], name='datetime') df = pd.DataFrame(data=[["A", 1.4], ["B", 140.5], ["A", 1.6], ["B", 145.0]], columns=["ONE", "TWO"], ...
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24,104
WIP/ENH: Pass tzinfos to dateutil parser
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2018-12-05T00:02:48Z
2020-04-05T17:37:44Z
2018-12-15T16:33:42Z
MEMBER
null
Putting this up early because the `set_option` behavior deserves discussion. The alternative is to make/let users pass `tzinfos` in Timestamp, to_datetime, DatetimeIndex, and probably others. - [x] closes #22234, #18702 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff...
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2018-12-05T00:44:51Z
2018-12-09T08:03:21Z
2018-12-09T08:02:20Z
CONTRIBUTOR
null
The docstring included a 'tolerance' parameter which is missing from the source. This has been removed. The docstring did not describe the 'fill_value' parameter. This has been added, mostly reusing the wording in the summary part of the existing docstring. - [x] closes #23960 - [ ] tests added / passed - [ ] p...
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WIP/CI: Clean up to test calls
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4
2018-12-05T03:23:54Z
2019-03-20T02:07:18Z
2019-03-20T02:07:18Z
MEMBER
null
**DO NOT MERGE**: As single tests do not fail in a deterministic way, I'll rerun the CI several times to see that the `--dist` option is fixing the concurrency problems as expected. - Using `--dist=loadscope` instead of calling pytest twice to not run `single` tests in parallel - Renaming `single` marker to `serial...
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387,610,603
MDExOlB1bGxSZXF1ZXN0MjM2MDU5ODY1
24,107
REF/TST: Add pytest idiom to reshape/test_tile
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9
2018-12-05T06:23:30Z
2018-12-07T02:42:13Z
2018-12-06T12:18:44Z
MEMBER
null
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387,629,024
MDExOlB1bGxSZXF1ZXN0MjM2MDc0MDI0
24,108
API/ENH/DEPR: Series.unique returns Series
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11
2018-12-05T07:38:06Z
2019-10-07T08:24:11Z
2019-05-12T21:24:20Z
CONTRIBUTOR
null
I know this PR is too big, but I need it to initiate discussion before `v.0.24` cutoff. I've been working on adding a `return_inverse` to `unique` since mid June (as fast as possible). I know that changing the return type of `Series.unique` is potentially a controversial issue, but I truly believe that this should ...
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MDU6SXNzdWUzODc2NjE1MDE=
24,109
Error when max with a datetime.date Series
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2
2018-12-05T09:19:26Z
2021-09-09T10:22:53Z
null
NONE
null
```python import datetime as dt s = pd.Series([dt.date(2018,1,1), None, dt.date(2018,1,1)]) print(s.max()) # TypeError: '>=' not supported between instances of 'datetime.date' and 'float' s1 = pd.to_datetime(s).dt.date print(s1.max()) # TypeError: '>=' not supported between instances of 'datetime.date' and '...
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https://api.github.com/repos/pandas-dev/pandas/issues/24110
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387,696,440
MDU6SXNzdWUzODc2OTY0NDA=
24,110
date_range() with closed=left and sub-second granularity returns wrong number of elements
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2
2018-12-05T10:43:42Z
2018-12-09T22:25:41Z
2018-12-09T22:25:41Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd # Good case: a closed=left date_range call should return 'periods' - 1 entries >>> pd.date_range(start='2018-01-01T00:00:01.000Z', end='2018-01-03T00:00:01.000Z', periods=2, closed='left') DatetimeIndex(['2018-01-01 00:00:01+00:0...
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MDExOlB1bGxSZXF1ZXN0MjM2MTMwNDQx
24,111
F/rolling size
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14
2018-12-05T10:58:30Z
2019-01-05T15:36:47Z
2019-01-05T15:36:46Z
CONTRIBUTOR
null
- [x] closes #24057 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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