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https://api.github.com/repos/pandas-dev/pandas/issues/29914
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529,692,703
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29,914
DEPR: Series.cat.categorical, Series.cat.index, Series.cat.name
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2019-11-28T16:06:19Z
2019-11-28T07:46:47Z
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CI: Highlighting flake8 and grep errors in GitHub Actions
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2019-11-28T14:08:30Z
2019-11-29T22:36:12Z
2019-11-29T22:36:09Z
MEMBER
null
Our code checks genereated the output in a way that Azure pipelines was highlighting the errors. In GitHub actions it's possible to do more or less the same, but with a different syntax. Changing the syntax here, and simplifying some tricky parts in the script. Introducing some errors, so we can see how it looks.
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29,916
HDF5: empty groups and keys
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2019-11-28T14:09:53Z
2020-06-14T22:20:19Z
2020-06-14T22:20:19Z
NONE
null
Hi, With some of the hdf5 files I have, `pandas.HDFStore.groups()` returns an empty list. (as does `.keys()` which iterates over the groups). However, the data are accessible via `.get()` or `.get_node()`. This is related to #21543 and #21372 where the `.groups()` logic was changed, in particular using `self._han...
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29,917
Modifying DataFrame first row produces wrong result
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2019-11-28T14:17:03Z
2019-11-28T19:07:41Z
2019-11-28T19:07:25Z
NONE
null
```python # Reproducing faulty behavior: dfs = pd.DataFrame([[1,'a1',31],[2,'a2',32],[3,'a3',33]], index=['a','b','c'], columns=['c1','c2','c3']) dfs.iloc[0] = {'c1':101, 'c2':'A1', 'c3':111} assert dfs.iloc[0][0] == 101 #FAILED assert dfs.iloc[0][1] == 'A1' #FAILED assert dfs.iloc[0][2] == 111 #FA...
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29,918
DEPR: remove itemsize, data, base, flags, strides
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2019-11-28T17:21:52Z
2019-11-30T17:53:19Z
2019-11-30T17:47:09Z
MEMBER
null
and un-deprecated `item`, though im not sure where that goes in the whatsnew
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29,919
Dataframe.aggregate does not work with MultiIndex columns
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2019-11-28T19:08:22Z
2021-07-23T05:06:12Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df = pd.DataFrame(np.random.random((4,4))) # Working case print("Aggregate on single indexed columns:") print(df.aggregate(tuple, axis=0)) print("-"*80) # Non working case df.columns = pd.MultiIndex.from_product([[1,2],['A','B']]) print("Agg...
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29,920
Document S3 and GCS path functionality of DataFrame.to_csv()
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3
2019-11-28T20:08:28Z
2019-12-17T18:14:19Z
2019-12-17T18:14:09Z
CONTRIBUTOR
null
- [x] closes #8508 I made more changes than absolutely necessary for documenting this. It's a bit more complete and it reads a more similar to `pd.read_csv()`
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29,921
Bug when using multi-row inserts with SQLite database
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1
2019-11-28T22:11:44Z
2020-02-11T23:01:01Z
2020-02-11T23:01:01Z
NONE
null
#### Code Sample ```python import logging, sqlite3 import pandas as pd from datetime import date, timedelta from random import normalvariate, randint #%% Storing function. def store_df_data(): """ Create a new SQLite database, generate random data (as DataFrame) and try to save it in the da...
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BUG: loc-indexing with a CategoricalIndex with non-string categories
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2019-11-28T22:29:17Z
2019-12-11T13:57:19Z
2019-12-11T13:18:32Z
CONTRIBUTOR
null
- [x] closes #17569 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Bug when indexing with ``.loc`` and the index is a CategoricalIndex with integer or float categories.
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29,923
CLN: OrderedDict -> Dict
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4
2019-11-29T00:28:51Z
2019-12-27T00:58:07Z
2019-12-01T17:50:19Z
CONTRIBUTOR
null
- xref https://github.com/pandas-dev/pandas/issues/30469 - [x] follow up from https://github.com/pandas-dev/pandas/pull/29212 - [x] passes `black pandas` As of CPython 3.6 the implementation of dict maintains insertion order. This became a language feature in python 3.7. Note in python 3.8 support for revers...
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MDExOlB1bGxSZXF1ZXN0MzQ2OTUzMjk1
29,924
CLN: move odf import inline in excel benchmark
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2019-11-29T09:02:05Z
2019-12-27T19:56:59Z
2019-12-27T19:56:59Z
MEMBER
null
I know this is an optional dependency, but IMO it's still nice that running a different benchmark still works when you don't have odf installed (noticed this yesterday when running the isnull benchmarks). It's similar to pytest skipping if an optional dependency is not installed.
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29,925
DOC: remove reference to get_value (removed) in DataFrame.lookup docstring
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2019-11-29T09:20:58Z
2019-12-01T18:53:07Z
2019-11-29T17:31:42Z
MEMBER
null
DataFrame.get_value was removed. (now we should maybe also consider deprecating `lookup`, but that is another issue)
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29,926
BUG: Index.get_value implementation for ExtensionArray
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3
2019-11-29T10:39:06Z
2019-12-04T14:21:49Z
2019-12-04T14:15:14Z
MEMBER
null
Closes https://github.com/pandas-dev/pandas/issues/29708 cc @jreback @jbrockmendel
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29,927
DEPR: passing str alias to in DatetimeTZDtype
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2019-11-29T16:28:55Z
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530,444,853
MDU6SXNzdWU1MzA0NDQ4NTM=
29,928
Using to_json/read_json with orient='table' on a DataFrame with a single level MultiIndex does not work
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2
2019-11-29T17:36:52Z
2020-05-26T15:10:33Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas #Scenario1 df=pandas.DataFrame(data=[[1,1],[2,2],[3,3],[4,4]],columns=['A','B'], index=pandas.MultiIndex.from_tuples([(1,),(2,),(3,),(4,)])) js=df.to_json() pandas.read_json(js) #ok js=df.to_json(orient='table') new_df=pandas.read...
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MDExOlB1bGxSZXF1ZXN0MzQ3MTUzMjg4
29,929
DEPR: tz_convert in the Timestamp constructor raises
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2019-11-29T20:24:07Z
2019-12-01T21:41:12Z
2019-12-01T21:38:47Z
MEMBER
null
- [x] xref #23621 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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29,930
DEPR: DTI/TDI/PI constructor arguments
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2019-11-29T20:57:35Z
2019-12-02T16:08:36Z
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DEPR: DataFrame.sort_index by keyword
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1
2019-11-29T22:02:49Z
2019-11-29T23:26:11Z
2019-11-29T23:07:40Z
MEMBER
null
This one was deprecated back in 0.17.0, so long time coming. There's some more cleanup that can be done around this method in a follow-up.
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TST: add test for rolling max/min/mean with DatetimeIndex over different frequencies
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2019-11-30T00:14:05Z
2019-12-01T23:22:21Z
2019-12-01T23:22:15Z
CONTRIBUTOR
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Follow-up work on #29761 - parametrize over different operations and frequencies - [x] xref #21096 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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CLN: assorted cleanups
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typo in docs "Essential basic functionality"
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2019-11-30T01:31:04Z
2019-12-01T14:36:01Z
2019-12-01T13:26:52Z
NONE
null
Sorry to bother with a mere typo, but the sentence has no closing parentheses. > Numeric dtypes will propagate and can coexist in DataFrames. If a dtype is passed (either directly via the dtype keyword, a passed ndarray, or a passed Series, then it will be preserved in DataFrame operations. > https://pandas.pydata...
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2019-11-30T03:45:38Z
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MEMBER
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Orthogonal to #29935.
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2019-11-30T10:26:04Z
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MEMBER
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- [ ] closes #xxxx - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry ref #29816 (splitted to #29889, #29893, #29894, #29902, #29904, #29905)
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STY: F-strings and repr
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- [ ] ref #29886 and #29547 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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2019-11-30T19:42:37Z
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progress towards #20903
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- [x] closes #29864 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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ENH: support datetime64, datetime64tz in nanops.mean, nanops.median
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Tracking down relevant issues and figuring out test coverage is the "WIP" part of this.
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A closing parenthesis has been added to resolve a typo.
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2019-12-01T02:46:53Z
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry This pull request addresses https://github.com/pandas-dev/pandas/issues/29934
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BUG: fix Series.interpolate(method='index') with unsorted index
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2019-12-01T15:18:48Z
2019-12-03T22:36:38Z
2019-12-03T22:36:37Z
CONTRIBUTOR
null
`Series.interpolate(method='index')` use [numpy.interp](https://docs.scipy.org/doc/numpy/reference/generated/numpy.interp.html) under the hood, which cannot work with unsorted X values. Here we sort the known data for `numpy.interp`. - [x] closes #21037 - [x] tests added / passed - [x] passes `black pandas` - [x]...
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ENH: Allow column grouping in DataFrame.plot
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2019-12-01T20:04:47Z
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- [X] closes #29688 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry This is an attempt at #29688 i.e. group some columns on the same ax when calling `df.plot` See [this gist](https://gist.github.com/NicolasHug/4d1...
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TYP: pandas/tseries/offsets.py
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Flask + multiprocessing: "NotImplementedError: Not supported for DataFrames!"
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2019-12-22T23:45:27Z
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**df_manager.py** ```python from multiprocessing.managers import BaseManager import pandas as pd def init_dataframe(): return pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]}) def get_df(): return df df = init_dataframe() manager = BaseManager(('', 37844), b'password') manager.register('get_df...
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TYP: Annotated __eq__
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STY: "{foo!r}" -> "{repr(foo)}" #batch-1
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- [x] ref #29886 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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STY: Added space at the end of the sentence
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2019-12-01T23:56:52Z
2019-12-02T00:58:23Z
2019-12-02T00:55:05Z
MEMBER
null
Feeling strange about opening a PR just for this, but my OCD is killing me.
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STY: "{foo!r}" -> "{repr(foo)}" #batch-2
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2019-12-02T00:17:58Z
2019-12-02T11:04:09Z
2019-12-02T01:24:13Z
MEMBER
null
- [x] ref #29886 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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CLN: fix pytables passing too many kwargs
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2019-12-02T00:41:44Z
2019-12-02T01:53:30Z
2019-12-02T01:45:36Z
MEMBER
null
We have a few methods that take `**kwargs` and ignore them. It turns out the reason for this is in `_write_to_group`, where we pass `**kwargs` to two separate functions (`_create_storer` and `write`), each of which actually needs a specific subset. By making kwargs explicit in _write_to_group, we can pass the correct...
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CLN: f-string in pandas/core/window/*
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2
2019-12-02T01:26:19Z
2019-12-02T23:29:29Z
2019-12-02T23:29:21Z
CONTRIBUTOR
null
ref #29547 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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STY: "{foo!r}" -> "{repr(foo)}" #batch-3
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5
2019-12-02T01:31:19Z
2019-12-10T12:08:07Z
2019-12-10T12:04:50Z
MEMBER
null
- [x] ref #29886 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Reduce Loosely Typed Functions in objToJSON
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2019-12-02T01:44:02Z
2019-12-07T22:28:57Z
2019-12-07T22:27:25Z
MEMBER
null
Part of my perpetual goal to simplify this. Right now we override the built-in capabilities of the JSON encoder and use multiple layers of loosely typed functions. I think this is pretty confusing, so I am trying to reduce the callbacks and set native values directly during iteration This isn't a full solve - rather...
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DEPR: Change default value for CategoricalDtype.ordered from None to False
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2019-12-02T02:10:23Z
2019-12-09T16:02:44Z
2019-12-09T09:10:56Z
MEMBER
null
- [X] closes #27203 - [X] passes `black pandas` - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry A quick summary of the deprecation details can be found here: https://github.com/pandas-dev/pandas/pull/26403#issuecomment-507351745
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29,956
DOC : Typo fix in userguide/Styling
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2019-12-02T02:37:39Z
2019-12-02T12:35:21Z
2019-12-02T12:35:15Z
CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Fixed a typo in the user-guide/Styling: https://pandas-docs.github.io/pandas-docs-travis/user_guide/style.html#Sharing-Styles In the line: `Notic...
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Make kwargs explicit in put, append
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2019-12-02T02:42:54Z
2019-12-04T16:40:14Z
2019-12-04T14:06:40Z
MEMBER
null
Made possible by #29951, progress towards #20903 @jreback input needed on whether certain not-covered-in-tests cases should be considered possible. See that both `put` and `append` still contain `**kwargs`. In all extant tests, kwargs is always empty. But there are remaining keywords that write_to_group (which b...
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29,958
CLN: small things in pytables
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2019-12-02T03:37:07Z
2019-12-02T16:12:00Z
2019-12-02T12:34:19Z
MEMBER
null
Things I find myself doing in a bunch of local branches. cc @WillAyd.
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STY: "{foo!r}" -> "{repr(foo)}" #batch-4
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2019-12-02T08:41:53Z
2019-12-02T14:06:49Z
2019-12-02T12:45:03Z
MEMBER
null
- [x] ref #29886 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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530,987,442
MDU6SXNzdWU1MzA5ODc0NDI=
29,960
DOC: Remove :okwarning: from scale guide when used dask version is not raising FutureWarning anymore
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2019-12-02T09:07:02Z
2021-04-10T16:08:02Z
null
CONTRIBUTOR
null
can you also create an issue on the pandas side so we know what we need to update once dask is at a certain version (you can just point to this line here) _Originally posted by @jreback in https://github.com/_render_node/MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDM1MjM4MzI0NA==/comments/review_comment_ **Note:** This ...
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29,961
Use new NA scalar in BooleanArray
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2019-12-02T09:14:44Z
2019-12-04T20:05:24Z
2019-12-04T19:27:34Z
MEMBER
null
Follow-up on https://github.com/pandas-dev/pandas/pull/29597 and https://github.com/pandas-dev/pandas/pull/29555, now actually using the `pd.NA` scalar in `BooleanArray`.
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API: return "correct" missing value scalar from Categorical?
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2019-12-02T10:46:52Z
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null
MEMBER
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From https://github.com/pandas-dev/pandas/pull/27929#discussion_r350469472. In `__getitem__` or `Categorical.min(..)`, we always return `np.nan` as scalar missing value, regardless of the dtype: ``` In [7]: cat = pd.Categorical([pd.Timestamp("2012"), None], ordered=True) In [8]: cat Out[8]: [2012-01-01, Na...
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MEMBER
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- [x] ref #29886 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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API: Uses pd.NA in IntegerArray
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2019-12-02T12:45:04Z
2019-12-30T17:55:21Z
2019-12-30T17:55:18Z
CONTRIBUTOR
null
Just a WIP for now. I haven't closely reviewed this since pd.NA was merged into master. cc @jorisvandenbossche Closes https://github.com/pandas-dev/pandas/issues/15375
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29,965
shifted column names by reading bigger csv-files
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2019-12-02T13:11:28Z
2021-07-23T05:11:39Z
2021-07-23T05:11:39Z
NONE
null
Using pandas version of newest anaconda windows setup-installer: pd.__version__ Out[11]: '0.25.1' While importing larger csv-files there occures a shift in column names. Simple version works: ``` df = pd.read_csv(relpath + "\data.csv", sep=';', header=0, skiprows=[1], parse_dates=False, ke...
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Type conversion to boolean for integers after concat
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2019-12-02T15:08:42Z
2020-05-22T16:58:24Z
2020-05-22T16:58:24Z
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd # when concatenating on Multi-index, 1 and 0 are automatically converted to booleans if there are other booleans s1 = pd.Series([10,20],index=pd.MultiIndex.from_tuples( [('is true', True), ('is true', False)],names=['Question', 'A...
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DOC: .get_slice_bound in MultiIndex needs documentation.
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``` In [10]: i = Index(['c','a','d','b']) In [12]: i.get_slice_bound('a',side="left",kind="ix") Out[12]: 1 In [13]: mi = MultiIndex.from_arrays([['c','a','d','b']]) In [15]: mi.get_slice_bound('a',side="left",kind="ix") ...
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CLN: explicit kwargs and docstring for create_index
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Side-note, in `create_index`, none of our tests hit the `v.remove_index()` calls. If we could rule those out, this function could be simplified quite a bit.
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REF: Deduplicate array, infer_dtype, and maybe_convert_objects
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2019-12-02T16:41:56Z
2021-01-16T23:08:04Z
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CONTRIBUTOR
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There's some duplicate / slightly diverging functionality between `pd.array`, `infer_dtype` and `convert_objects`. Both `pd.array` and `convert_objects` are roughly "convert this list-like thing to this better array". See the conversation in https://github.com/pandas-dev/pandas/pull/29799#discussion_r352255141 for mor...
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pandas.read_sql() fails when the select is not the sole part of the query
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2019-12-02T16:57:03Z
2020-05-16T04:06:53Z
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd import pyodbc import sqlalchemy as sa import urllib query = """ drop table if exists #MyTempTable; select 1 ID , 'A' Letter into #MyTempTable union select 2, 'B' union select 3, 'C' union select 4, 'D' union ...
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pd.NA `na_rep` truncated in to_csv
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2019-12-02T16:59:14Z
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MEMBER
null
Just found this while messing around with how the new pd.NA sentinel would work with extension modules ```python >>> pd.Series(["a", pd.NA, "c"]).to_csv(na_rep="ZZZZZ") ',0\n0,a\n1,ZZZZZ\n2,c\n' >>> pd.Series(["a", pd.NA, "c"], dtype="string").to_csv(na_rep="ZZZZZ") ',0\n0,a\n1,ZZ\n2,c\n' ``` Note the latter...
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test_additional_extension_arrays fails with pd.NA
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2019-12-02T17:09:16Z
2019-12-18T17:27:03Z
2019-12-18T16:56:42Z
MEMBER
null
cc @jorisvandenbossche im using pyarrow 0.15.1 locally ``` _____________________________________________ TestParquetPyArrow.test_additional_extension_arrays _____________________________________________ self = <pandas.tests.io.test_parquet.TestParquetPyArrow object at 0x129bc4050>, pa = 'pyarrow' @td....
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CLN: explicit kwargs for select
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2019-12-02T17:17:57Z
2019-12-02T23:44:14Z
2019-12-02T23:23:30Z
MEMBER
null
Questions for @jreback on follow-ups: 1) Note in `read_hdf` kwargs is still present in the signature, but i put an assertion that they are empty. In principle we could pass more junk to HDFStore, but we never do in tests. Should we allow it, or can those kwargs be deleted altogether? 2) the current signature fo...
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29,978
Pandas Tests rely on inconsistent array coercion
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2019-12-02T18:03:43Z
2021-07-23T05:21:00Z
null
CONTRIBUTOR
null
In https://github.com/numpy/numpy/pull/14995 I have tried to make numpy consistent with respect to coercing dataframes (and other array-likes which also implement the sequence protocol) to numpy arrays. With the new PR/behaviour, the `__array__` interface would be fully preferred, and no mixed/inconsistent behaviour...
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REF: move attribute setting towards the constructor
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2019-12-02T21:04:51Z
2019-12-04T16:57:56Z
2019-12-04T14:01:50Z
MEMBER
null
The end goal is to minimize the amount of attribute setting that is done outside of the constructor (or create_for_block which is a classmethod and ill give it a pass). create_for_block is called in one place, and immediately after that set_atom is called on the result. set_atom does a ton of attribute setting, so ...
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pandas.core.dtypes.cast.find_common_type upcasts CategoricalDtype list to object
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2019-12-02T21:38:15Z
2019-12-10T23:25:18Z
2019-12-10T23:25:17Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd from pandas.core.dtypes.cast import find_common_type types = [ pd.CategoricalDtype([1,2,3], ordered=False), pd.CategoricalDtype([1,4,5], , ordered=False), ] find_common_types(types) ``` #### Prob...
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STY: F-strings
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1
2019-12-02T22:41:16Z
2019-12-03T04:38:49Z
2019-12-03T04:38:27Z
MEMBER
null
- [ ] ref #### - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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CLN: assorted pytables cleanups, remove unwanted assertion
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2019-12-02T23:55:35Z
2020-04-05T17:35:01Z
2019-12-03T18:53:03Z
MEMBER
null
#29977 included an assertion that I meant to remove before merging. This removes that, followed by some misc cleanup: annotations, docstrings, remove is_shape_reversed (which was for Panel compat)
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CI: Using more appropriate GitHub Actions syntax to set path
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2019-12-03T00:14:25Z
2019-12-04T13:59:42Z
2019-12-04T13:59:39Z
MEMBER
null
Looks like GitHub Actions provides a specific command to add to the PATH, which is simpler (and also works on Windows, which is not required in this case, but will be when we add the test jobs).
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CI: add jinja to deps
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2019-12-03T02:08:53Z
2019-12-03T16:09:16Z
2019-12-03T10:20:59Z
MEMBER
null
i think this should fix the failing windows-py36 azure build
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2019-12-12T15:51:24Z
2019-12-12T13:48:13Z
MEMBER
null
includes a couple of whatsnew notes that fell through the cracks
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MDExOlB1bGxSZXF1ZXN0MzQ4MDgxMjkz
29,986
DEPR: remove real, imag, put, and str.partition kwarg
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2019-12-03T02:31:12Z
2019-12-04T17:37:46Z
2019-12-04T13:58:42Z
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MDU6SXNzdWU1MzE2ODMxNTM=
29,987
".fillna(method='bfill', limit=7) hangs with "specifying a limit for fillna has not been implemented yet"
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2019-12-03T03:09:13Z
2020-05-04T18:31:00Z
2019-12-04T09:18:51Z
NONE
null
Hi! Please help me with this problem. Thank you in advance for your help. Source code and data are attached. Executing this statement: **labeled_features = labeled_features.fillna(method='bfill', limit=7) ## where "labeled_features" is a dataframe** it hangs with this error: **"NotImplemented...
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29,988
STY: F-strings
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2019-12-03T04:46:21Z
2019-12-04T15:34:34Z
2019-12-04T13:57:06Z
MEMBER
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- [x] ref https://github.com/pandas-dev/pandas/issues/29547 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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29,989
DEPR: remove get_values, SparseArray.values
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2019-12-03T05:22:01Z
2019-12-04T22:59:22Z
2019-12-04T22:51:48Z
MEMBER
null
The cleanups in libreduction are made possible by SparseArray.values going away.
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MDU6SXNzdWU1MzE3NDY4MTI=
29,990
Pandas is not able to append dataframe to an existing excel sheet.Although openpyxl can be used for it but openpyxl is also destroying pivot table and all other realted information.So we do not have another way available except openpyxl
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2019-12-03T06:08:06Z
2020-05-08T00:43:27Z
2020-05-08T00:43:27Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here ``` #### Problem description [this should explain **why** the current behaviour is a problem and why the expected output is a better solution.] **Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl...
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29,991
TYP: some (mainly primative) types for core.generic
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2019-12-03T11:55:37Z
2019-12-04T19:51:43Z
2019-12-04T13:53:35Z
MEMBER
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mypy 0.750 has an experimental feature for static inference of annotations see https://mypy.readthedocs.io/en/latest/mypy_daemon.html#static-inference-of-annotations have tried it out on functions in core.generic. The annotations add here are mainly the ones that matched the docstrings.
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29,992
df.to_clipboard() creates wrong output for Excel
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2019-12-03T12:01:08Z
2021-07-23T05:22:05Z
2021-07-23T05:22:05Z
NONE
null
Copy pasting clipboard values to excel arbitrarily (?) fills nans with 0s. ### Steps ```python from pandas import Timestamp from numpy import nan data = {'asset': {Timestamp('2010-06-29 00:00:00'): nan, Timestamp('2010-06-30 00:00:00'): -0.002511469339115502, Timestamp('2010-07-01 00:00:00'): -0.07847255...
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29,993
CI: re-enable downstream test for geopandas
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2019-12-03T12:11:02Z
2019-12-03T14:28:24Z
2019-12-03T13:39:55Z
MEMBER
null
Closes https://github.com/pandas-dev/pandas/issues/25778
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29,994
TST: add some message checks in test_query_eval
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2019-12-03T13:42:31Z
2019-12-03T20:58:44Z
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CLN: some imports in pandas/tests/frame/test_dtypes.py
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broken off #28339
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29,996
TST: use index_or_series fixture
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2019-12-03T13:51:56Z
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MEMBER
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broken off #28339, xref #29725
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532,000,442
MDU6SXNzdWU1MzIwMDA0NDI=
29,997
API: expected result for pow(1, pd.NA) or pow(pd.NA, 0)
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2019-12-03T13:52:20Z
2021-03-08T14:33:57Z
2019-12-08T17:35:44Z
CONTRIBUTOR
null
Should `pow(1, pd.NA)` be `1` or `NA`? ```python In [1]: import pandas as pd In [2]: 1 ** pd.NA Out[2]: NA In [3]: import numpy as np In [5]: 1 ** np.nan Out[5]: 1.0 ``` cc @jorisvandenbossche
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29,998
TST: update test_nanops setup_method
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broken off #28339
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TYP: some (mainly primative) types for tseries.frequencies
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30,001
Nullable Int64 datatype is not preserved when used as index
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2019-12-03T15:43:12Z
2019-12-03T16:23:43Z
2019-12-03T16:22:54Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df = pd.DataFrame({'a': [1, 2, None], 'b':[1, 2, 1]}, dtype=pd.Int64Dtype()) df.set_index('a').reset_index().dtypes ``` a float64 b Int64 dtype: object #### Problem description Nullable Int64 datatype is lost if the column is used as...
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MDExOlB1bGxSZXF1ZXN0MzQ4NDI0Mzg5
30,002
changed "fun !r" -> "repr(fun)"
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2019-12-03T16:23:58Z
2019-12-04T03:04:10Z
2019-12-04T02:58:38Z
CONTRIBUTOR
null
As described in the following issue , usage of !r is currently redundant and so changing to f strings in place of it. - [x] ref https://github.com/pandas-dev/pandas/issues/29886 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] what...
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532,106,374
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30,003
DEPR: plotting deprecations
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2019-12-03T16:27:10Z
2019-12-05T18:06:24Z
2019-12-05T15:41:29Z
MEMBER
null
Input/help needed on two outstanding questions: 1) Do we just remove `pandas.tseries.converter` after this? 2) Some of these deprecations are old enough that I couldn't track them down via the blame, so they currently have "(:issue:`????`)" in the whatsnew.
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30,004
DEPR: get_duplicates
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1
2019-12-03T16:30:23Z
2019-12-03T18:53:53Z
2019-12-03T18:35:57Z
MEMBER
null
the need for this looks like the result of a typo on my part
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532,136,647
MDU6SXNzdWU1MzIxMzY2NDc=
30,005
Falling back silently to engine='python' whenever numexpr is not installed causes a query call to break more easy
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2
2019-12-03T17:12:57Z
2020-04-26T21:11:32Z
null
CONTRIBUTOR
null
`query` provides an interesting interface to query data from a pandas dataframe. It also opens up possibilities to have these queries be processed by different kind of engines. Today these options are 'python' and 'numexpr', where 'numexpr' is the default here. The problematic part here is, is that numexpr is often...
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532,143,478
MDExOlB1bGxSZXF1ZXN0MzQ4NDU1MTcy
30,006
DOC: whatsnew notes that slipped through the cracks
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2019-12-03T17:24:12Z
2019-12-03T18:54:48Z
2019-12-03T18:36:28Z
MEMBER
null
split off from #29985.
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532,144,329
MDExOlB1bGxSZXF1ZXN0MzQ4NDU1ODcz
30,007
CLN: test code no longer shared with sparse
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2019-12-03T17:25:39Z
2019-12-03T18:57:37Z
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MEMBER
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broken off from #29985.
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532,196,556
MDU6SXNzdWU1MzIxOTY1NTY=
30,008
Potential issue in Styler.to_excel() with Styler.set_properties()
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2
2019-12-03T19:00:40Z
2021-06-28T07:52:01Z
2021-06-28T07:52:01Z
NONE
null
#### Code Sample, a copy-pastable example if possible df = pd.DataFrame((np.random.rand(5, 4)*100), columns=list('ABCD')) df_style = df.style.set_properties(**{'background-color': 'black', 'color': 'lawngreen', 'border-c...
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532,225,998
MDExOlB1bGxSZXF1ZXN0MzQ4NTE5OTEx
30,009
CI: troubleshoot openpyxl failures
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6
2019-12-03T19:53:29Z
2020-04-05T17:35:09Z
2019-12-04T01:46:58Z
MEMBER
null
tested on OSX 36 and 37, we'll see if that generalizes
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532,247,810
MDExOlB1bGxSZXF1ZXN0MzQ4NTM3MDEx
30,010
DOC: Fix to lzma.LZMAFile
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2019-12-03T20:32:45Z
2019-12-05T10:22:04Z
2019-12-04T20:16:44Z
MEMBER
null
- [ ] closes #xxxx - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDU6SXNzdWU1MzIyNTI5ODg=
30,011
Crash when `pd.to_datetime` gets a None for certain values of `format`
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2019-12-03T20:42:24Z
2019-12-12T14:53:49Z
2019-12-12T14:53:49Z
CONTRIBUTOR
null
#### Code Sample ```python import pandas as pd print(pd.to_datetime(['19850212', '19890611'], format = '%Y-%m-%d')) # => DatetimeIndex(['1985-02-12', '1989-06-11'], dtype='datetime64[ns]', freq=None) print(pd.to_datetime(['19850212', '19890611', None], format = '%Y-%m-%d')) # => DatetimeIndex(['1985-02-12...
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MDExOlB1bGxSZXF1ZXN0MzQ4NTQ0NjQ3
30,012
CLN: annotate and de-nest write_array
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2019-12-03T20:50:47Z
2019-12-04T16:32:47Z
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MEMBER
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MDU6SXNzdWU1MzIyNzYxMzc=
30,013
BUG: set/dict operations fail when hash collisions with pd.NA occur
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2019-12-03T21:24:51Z
2019-12-24T15:04:02Z
2019-12-24T15:04:02Z
MEMBER
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```python-traceback In [1]: import pandas as pd; pd.__version__ Out[1]: '0.26.0.dev0+1155.ged20822a5' In [2]: {pd.NA, hash(pd.NA)} --------------------------------------------------------------------------- TypeError: boolean value of NA is ambiguous In [3]: {pd.NA} | {hash(pd.NA)} --------------------------...
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https://api.github.com/repos/pandas-dev/pandas/issues/30013/timeline
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