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DOC: develop a set of standard example DataFrames for use in docstring examples
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2018-02-15T09:31:51Z
2021-01-27T17:28:04Z
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Related to https://github.com/pandas-dev/pandas/pull/19704. I didn't find an existing open issue, only a discussion mentioning this in https://github.com/pandas-dev/pandas/pull/16520 (@datapythonista it was actually you then! I didn't realize that :-)) I think it would be good to have a set of standard DataFrames th...
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DEPR: remove pandas.core.index
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2018-02-15T12:26:40Z
2019-12-14T08:02:04Z
2019-12-14T08:02:04Z
CONTRIBUTOR
null
this is an old artifice which needs to be deprecated. It might be used somewhat internally. These usages need to be moved to pandas.core.indexes.api
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CI: Builds timing out
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2018-02-15T12:26:49Z
2018-02-19T13:08:08Z
2018-02-19T13:08:08Z
CONTRIBUTOR
null
3.6 times out fairly regularly: e.g. https://travis-ci.org/pandas-dev/pandas/jobs/341598742 It's running `pytest -s -m single --strict --cov=pandas --cov-report xml:/tmp/cov-single.xml --junitxml=/tmp/single.xml --skip-slow --skip-network pandas` and `pytest -s -n 2 -m not single --cov=pandas --cov-report xml:/tmp/c...
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19,713
pipe example in basics.rst broken due to SciPy / statsmodels changes
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2018-02-15T12:29:39Z
2018-02-28T08:14:24Z
2018-02-28T08:14:24Z
CONTRIBUTOR
null
```python AttributeErrorTraceback (most recent call last) <ipython-input-140-7e4e9a85c845> in <module>() 1 (bb.query('h > 0') 2 .assign(ln_h = lambda df: np.log(df.h)) ----> 3 .pipe((sm.poisson, 'data'), 'hr ~ ln_h + year + g + C(lg)') 4 .fit() 5 .summary() ~/miniconda3/envs/...
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BUG: Fix Series constructor for Categorical with index
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2018-02-15T14:04:56Z
2018-02-27T01:45:16Z
2018-02-27T01:13:01Z
CONTRIBUTOR
null
Fixes Series constructor so that ValueError is raised when a Categorical and index of incorrect length are given. Closes issue #19342 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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Conform Series.to_csv to DataFrame.to_csv
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2018-02-15T14:11:03Z
2018-08-13T13:37:53Z
2018-08-13T13:37:53Z
CONTRIBUTOR
null
Thank you for this awesome package! #### Problem description When indexing/selecting/slicing a `DataFrame`, pandas may return a `Series`. Both classes support the `to_csv` method, but the methods have subtle differences. These subtle differences may break your code, or demand a call to `to_frame`. Perhaps it would ...
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Incorrectly assigned Index ops/names
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2018-02-15T17:32:01Z
2018-02-23T11:36:43Z
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MEMBER
null
Index op naming and pinning is inconsistent: - no `Index.__rsub__`, https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L2200 - `__iadd__, __isub__` aren't getting pinned to `cls` https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/base.py#L3998 - `__radd__, __rpow__, __r...
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BUG: fix Series constructor for scalar and Categorical dtype
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2018-02-15T18:49:12Z
2018-02-24T14:58:45Z
2018-02-24T14:58:41Z
CONTRIBUTOR
null
Categories and ordering of the resulting Series were not the same as those of the passed Categorical dtype. Closes #19565 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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Series of NaNs Gives False for 'any' but True for 'all'
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2018-02-15T19:48:47Z
2018-02-15T19:56:12Z
2018-02-15T19:56:12Z
MEMBER
null
```python In [25]: ser = pd.Series([np.nan, np.nan, np.nan]) In [26]: ser.any() Out[26]: False In [27]: ser.all() Out[27]: True ``` Seems like a bug that `any` can be False but `all` is True <details> INSTALLED VERSIONS ------------------ commit: 2fdf1e256e5e0b7f1fe909629e2f0b7893c8c7c3 python: 3....
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Remove redundant parentheses from if conditions
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2018-02-15T20:40:44Z
2018-02-15T20:46:51Z
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CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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297,599,019
MDU6SXNzdWUyOTc1OTkwMTk=
19,720
ValueError when summing over column level with skipna=False (Python 3 only)
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5
2018-02-15T21:15:42Z
2020-09-22T03:15:32Z
null
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd df = pd.DataFrame(np.ones([2, 8])) df.iloc[0, 0] = np.nan df.columns = pd.MultiIndex.from_product([list('ab'), list('cd'), list('ef')]) df.sum(axis=1, level=[0, 1], skipna=False) ``` #### Problem descript...
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297,599,812
MDU6SXNzdWUyOTc1OTk4MTI=
19,721
API: Should factorize(categorical) return a Categorical for uniques?
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15
2018-02-15T21:18:32Z
2021-06-19T04:41:44Z
null
CONTRIBUTOR
null
Returning a categorical feels more natural to me ```python In [11]: pd.factorize(pd.Categorical(['a', 'a', 'c'])) Out[11]: (array([0, 0, 1]), array([0, 1])) ``` That's kind of what we do for a `DatetimeIndex` with TZ: ```python In [10]: pd.factorize(pd.Series(pd.DatetimeIndex(['2017', '2017'], tz='US/Easte...
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297,660,827
MDExOlB1bGxSZXF1ZXN0MTY5NTM0MjIw
19,722
Cythonized GroupBy any
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8
2018-02-16T02:06:07Z
2018-03-01T03:40:46Z
2018-03-01T01:30:19Z
MEMBER
null
- [X] closes #15435 - [X] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry ```bash before after ratio [2fdf1e25] [a2223dbf] - 1.21s 956±3ms 0.79 groupby.GroupByMethods.time_method('floa...
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297,661,680
MDExOlB1bGxSZXF1ZXN0MTY5NTM0NTA1
19,723
BUG: fix index op names and pinning
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17
2018-02-16T02:09:12Z
2018-06-22T03:31:15Z
2018-02-23T11:36:43Z
MEMBER
null
This is a moderately big one, but changes very little. Fixes incorrect Index ops names and several methods that are defined but not pinned to the class (#19716). Avoids the need to pass `reversed` and `str_rep` in a bunch of places, cleans up some of the Index classmethods. Removes the no-longer-needed catchin...
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297,692,852
MDU6SXNzdWUyOTc2OTI4NTI=
19,724
Code Clean Up - groupby_helper.pxi.in
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1
2018-02-16T06:30:49Z
2018-02-18T16:39:50Z
2018-02-18T16:39:50Z
MEMBER
null
A few of the methods in `groupby_helper.pxi.in` have a pattern that goes: ```python N, K = (<object> values).shape with nogil: if K > 1: # loop over j in range(K) and do stuff ... else: # do stuff with j=0 ... ``` Unless I'm mi...
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297,729,152
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19,725
unexpected timestamps behavior
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1
2018-02-16T09:49:29Z
2018-02-16T11:47:46Z
2018-02-16T11:47:37Z
NONE
null
If I run ```python pd.to_datetime('now') == pd.to_datetime('now', utc=True) ``` or ```python pd.Timestamp('now', tz='utc') == pd.Timestamp('now') ``` I get ``` TypeError: Cannot compare tz-naive and tz-aware timestamps ``` which makes sense. However if I compare a tz-naive DatetimeIndex og Series ...
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19,726
Pandas 0.22.0 does not raise KeyError for misspelled column with .drop_duplicates()
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2018-02-16T11:58:02Z
2018-02-21T11:40:22Z
2018-02-21T11:40:22Z
NONE
null
So I have tested two versions of Pandas parallel to each other with exactly the same code. 0.19.2 behaves more as expected, but 0.22.0 does what I am about to describe. Will probably switch to 0.19.2 for now. Am using Python 3.6.4 ```python import pandas as pd df = pd.DataFrame({"A":[34,12,78,84,26], "B":[54,87,35...
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297,763,714
MDU6SXNzdWUyOTc3NjM3MTQ=
19,727
(Re)-deprecate order keyword in factorize
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3
2018-02-16T12:04:02Z
2018-02-21T11:37:47Z
2018-02-21T11:37:47Z
CONTRIBUTOR
null
In https://github.com/pandas-dev/pandas/pull/6930 we deprecated `order`. As of 0.18.1, the keyword was no-longer documented, and doesn't raise, but wasn't actually removed. ```python In [3]: pandas.factorize([0, 1], order=True) Out[3]: (array([0, 1]), array([0, 1])) In [4]: pandas.__version__ Out[4]: '0.18....
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297,792,505
MDU6SXNzdWUyOTc3OTI1MDU=
19,728
DEPR: Index.get_value ?
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9
2018-02-16T13:55:43Z
2020-05-01T12:54:54Z
2020-05-01T12:54:54Z
MEMBER
null
`Index.get_value` is a very strange (from user perspective), and completely undocumented method, so let's rename it to `_get_value` for internal usage and deprecate the public one? Example usage to show its 'not-usefulness': ``` In [85]: idx = pd.Index([1, 2, 3]) In [87]: idx.get_value(np.array([0, 1, 2]), 2)...
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297,843,910
MDU6SXNzdWUyOTc4NDM5MTA=
19,729
to_numeric(..., downcast='float') is too aggressive
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2018-02-16T16:31:10Z
2020-10-29T03:15:40Z
null
NONE
null
### Short summary `to_numeric` downcasts integers "safely," that is, it only returns a downcasted result if that result == the argument. But it downcasts floats "non-safely" / too aggressively, that is, it forces a downcasted result even when that result != the argument. ### Illustration for integers: Behavior is a...
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297,874,723
MDExOlB1bGxSZXF1ZXN0MTY5NjkxMzQz
19,730
BUG: drop_duplicates not raising KeyError on missing key
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2018-02-16T18:14:12Z
2018-02-21T14:16:45Z
2018-02-21T11:40:22Z
CONTRIBUTOR
null
Fix #17879 introduced an error by iterating over the columns in the dataframe, not the columns in the subset. This meant that passing in a column name missing from the dataframe would no longer raise a `KeyError` like it had previously. This fix checks the subset first before pulling necessary columns from the dataf...
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297,878,520
MDU6SXNzdWUyOTc4Nzg1MjA=
19,731
TST: add doc-strings for fixtures
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2018-02-16T18:28:40Z
2018-02-16T19:23:55Z
2018-02-16T19:23:50Z
CONTRIBUTOR
null
``pytest --fixtures`` prints these out. so let's add doc-strings, then we can figure out if we have duplicates / consolidate.
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MDExOlB1bGxSZXF1ZXN0MTY5NzE4Mjc1
19,732
BUG: Avoid Timedelta rounding when specifying unit and integer (#12690)
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2018-02-16T20:28:14Z
2018-06-08T17:12:29Z
2018-05-21T11:06:04Z
MEMBER
null
- [x] closes #14156 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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19,733
Add ASV Benchmarks for GroupBy Ops on Datetimelike
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2018-02-16T21:41:42Z
2018-03-10T02:03:51Z
2018-03-10T02:03:51Z
MEMBER
null
xref comment in #19673, we don't have any ASV benchmarks in `groupby.GroupByMethods` to measure performance on datetimelike types (timestamp / timedelta)
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19,734
CLN: Removed Unnecessary Conditionals in groupby_helper
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2018-02-17T00:48:42Z
2018-02-18T18:40:56Z
2018-02-18T16:39:50Z
MEMBER
null
- [X] closes #19724 - [X] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry ASV results are pretty inconsistent but I couldn't find anything directly related from this change. Of the marks below, only `max` was touched by this change, and that doesn't ...
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297,966,136
MDExOlB1bGxSZXF1ZXN0MTY5NzYwNDM3
19,735
TST: GH18498 - Split test_pytables into sub-modules
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2018-02-17T01:25:10Z
2018-07-28T14:36:46Z
2018-07-28T14:36:46Z
NONE
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- [x] closes #18498 - [x] tests moved / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Moved test classes for pytables into sub-modules. Moved hdf test data files needed into sub-module. I did not change any tests, just broke up the classes into separate modu...
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19,736
Split+Parametrize Timedelta tests
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2018-02-17T01:54:34Z
2018-06-22T03:31:07Z
2018-02-20T11:16:30Z
MEMBER
null
Started splitting non-contentious parts off of #19365. This even-easier bit got split off of that. Just organizing+splitting+parametrizing tests.
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DOC: correct merge_asof example
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2018-02-17T02:18:03Z
2018-02-19T00:06:21Z
2018-02-18T17:46:54Z
CONTRIBUTOR
null
- [ ] closes #19489 - [x] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry - update of incorrect documentation example for merge_asof. - add a test corresponding to this example.
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19,738
Implement missing tests, fix offset floordiv, rfloordiv, fix return types
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2
2018-02-17T02:38:52Z
2018-06-22T03:31:10Z
2018-02-19T07:36:38Z
MEMBER
null
This splits off of #19365 a bunch of peripheral changes that were never intended to be part of #19365 in the first place. - Implements many tests in the "how is there not already a test for that!?" category - Fixes(+tests) Timedelta // DateOffset and DateOffset // Timedelta - Fixes(+tests) return types for `Timede...
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297,979,557
MDExOlB1bGxSZXF1ZXN0MTY5NzY4NzA1
19,739
finish off tests.tseries.test_timezones
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2018-02-17T04:58:44Z
2018-02-18T18:22:13Z
2018-02-18T16:22:16Z
MEMBER
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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298,027,318
MDExOlB1bGxSZXF1ZXN0MTY5Nzk2MjMy
19,740
Fix wraparound/overflow in date_range
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8
2018-02-17T18:53:45Z
2018-02-19T21:50:07Z
2018-02-19T21:49:45Z
MEMBER
null
- [x] closes #14187 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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298,031,017
MDU6SXNzdWUyOTgwMzEwMTc=
19,741
Consider adding ExtensionDtype.is_dtype_equal
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2018-02-17T19:46:00Z
2020-04-27T03:10:47Z
null
CONTRIBUTOR
null
We have `is_dtype` for checking whether the dtype / array's dtype is of the same kind as `self`. It may sometimes be useful to have an *exact* comparison for parametrized dtypes like `Categorical` and `Period`. So ```python >>> PeriodDtype('4D').is_dtype(PeriodDtype('5D')) True >>> PeriodDtype('4D').is_dtype_e...
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298,036,996
MDU6SXNzdWUyOTgwMzY5OTY=
19,742
Building docs fails with the latest version of sphinx
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2018-02-17T21:14:43Z
2018-02-24T15:24:35Z
2018-02-18T17:14:39Z
MEMBER
null
It seems like one week ago sphinx 1.7.0 was released, and the version of numpydoc included with pandas is not compatible with it (it uses the `sphinx.util.compat` which has been deprecated). Anaconda already includes sphinx 1.7.0, which is used by default. As in `requirements_dev.txt` sphinx is specified without ver...
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298,040,088
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19,743
DOC/BLD: Pinning sphinx to 1.5, as 1.7 has been released and it's incompatible with vendored numpydoc
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2018-02-17T22:00:32Z
2018-02-19T08:14:57Z
2018-02-18T17:14:39Z
MEMBER
null
- [X] closes #19742 - [ ] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDExOlB1bGxSZXF1ZXN0MTY5ODA1ODU0
19,744
Fix name setting in DTI/TDI __add__ and __sub__
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2
2018-02-17T23:01:13Z
2018-06-22T03:31:07Z
2018-02-21T23:55:22Z
MEMBER
null
- [ ] closes #xxxx - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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19,745
Conform Series.to_csv to DataFrame.to_csv
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2018-02-18T01:06:49Z
2018-07-25T16:49:08Z
2018-07-25T16:49:08Z
CONTRIBUTOR
null
(**EDIT**: Most of this comment is related to an old attempt. See [this comment](https://github.com/pandas-dev/pandas/pull/19745#issuecomment-404944973) and below for the content of the current PR) I tried my best to keep everything backwards compatible. A simpler solution would have been simply ```python def ...
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19,746
[DOCS] Add example of how to preserve order of columns with usecols.
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2018-02-18T07:00:57Z
2018-02-22T05:21:23Z
2018-02-21T19:53:08Z
CONTRIBUTOR
null
#### What's this PR do? Adding an example of how to preserve order when using the ``usecols`` parameter. I've noticed that some folks are still unaware that the columns will not necessarily be returned in the specified order passed to ``usecols``.
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DOC: Spellcheck of gotchas.rst (FAQ page)
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11
2018-02-18T09:59:15Z
2018-02-23T11:46:12Z
2018-02-23T11:46:12Z
CONTRIBUTOR
null
Minor changes to the documentation, specifically `gotchas.rst`, i.e. the FAQ page. * Function/method references as links. * Consistent double backticks ` `` ` around Series, DataFrame. * Minor rephrasing of a sentence or two, added some missing punctuation. * Replaced `.. ipython::` with `ipython:: python` twice,...
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19,748
DOC: Updated tutorials.rst, added 3 recent video tutorials
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2018-02-18T11:39:47Z
2018-02-18T13:38:18Z
2018-02-18T13:38:17Z
CONTRIBUTOR
null
I have made the following changes to `tutorials.rst` (found [here](http://pandas-docs.github.io/pandas-docs-travis/tutorials.html)): - Updated the version of the [pandas-cookbook](https://github.com/jvns/pandas-cookbook) from `v0.1` to `v0.2`. - Added an introductory paragraph to the tutorial series by @TomAugspurge...
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19,749
FIX: const-correctness in numpy helpers
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2018-02-18T17:34:19Z
2018-02-19T01:34:34Z
2018-02-18T23:32:33Z
CONTRIBUTOR
null
In python 3.7 the return type of PyUnicode_AsUTF8 changed from (char *) to (const char *). PyUnicode_FromString also takes (const char *) as input, also be explicit about that. https://bugs.python.org/issue28769 commit 2a404b63d48d73bbaa007d89efb7a01048475acd in cpython - [ ] closes #xxxx - [ ] tests added...
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19,750
DOC: to quote or not to quote
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2018-02-18T18:18:11Z
2018-06-08T15:49:52Z
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MEMBER
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That's the question :-) Whether we double-backtick-quote (to make it look like code) certain terms, such as Series and DataFrame, in our documentation is at the moment rather inconsistent. And @jreback recently started to regularly ask during reviews to quote them. And it is certainly good to be consistent on this...
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DEPR: Add deprecation warning for factorize() order keyword
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2018-02-18T19:54:51Z
2018-02-22T05:17:15Z
2018-02-21T11:37:47Z
CONTRIBUTOR
null
#### What's this PR do? In response to #19727. Adds functionality to the ``deprecate_kwargs`` utility. Currently, the utility doesn't allow the deprecation of an old keyword without having a new one in place. The change proposed here allows the deprecation of an *old* keyword without specifying a *new* keyword by a...
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19,752
split off scalar tests to submodules
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2018-02-18T20:34:27Z
2018-06-22T03:31:08Z
2018-02-19T16:45:31Z
MEMBER
null
Spun off from #19738, implements test_arithmetic for timedeltas, _moves_ and organizes tests without changing anything in the non-test code. A handful of xfail tests are implemented (these are fixed in #19378)
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19,753
TST: add test for numpy ops, esp. nanmin/max bug for np<1.13
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2018-02-18T22:13:06Z
2018-05-18T18:09:17Z
2018-02-19T13:50:57Z
CONTRIBUTOR
null
- [x] closes #8383 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` The bug in #8383 concerns np.nanmin and np.nanmax only, don't know if I'm testing too much.
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BF: mark two tests (test_{statsmodels,seaborn}) as requiring network
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2018-02-18T23:13:05Z
2018-02-19T06:00:14Z
2018-02-19T06:00:14Z
CONTRIBUTOR
null
- [notworthit] closes #xxxx - [nowtheywill] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [notworthit] whatsnew entry
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ENH: implement Timedelta.__mod__ and __divmod__
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2018-02-19T00:04:04Z
2018-06-22T03:23:22Z
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MEMBER
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This implements exclusively the `__mod__, __rmod__, __divmod__, __rdivmod__` parts of #19365, does _not_ implement any of the bugfixes or tests that got rolled into that PR. Several tests are xfailed for now, will be fixed after #19738. These tests will be rebased/moved to test_arithmetic after #19752. - [ ] close...
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MDU6SXNzdWUyOTgxMzM0Njc=
19,756
DataFrame.agg: strange behavior
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2018-02-19T00:22:34Z
2020-06-28T06:12:52Z
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NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df=pd.DataFrame([1, 2], columns=['a']) ser=pd.Series([1, 3], name='a') print(df) print(df.agg({'a': lambda x: x.cumsum()})) print(df.agg({'a': lambda x: ser})) #################################################output a 0 ...
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19,757
ENH: fake http proxy in case of --skip-network testing
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2018-02-19T02:49:43Z
2018-02-20T22:35:27Z
2018-02-19T15:38:41Z
CONTRIBUTOR
null
- [ ] tests added / passed - most likely they will fail until #19754 is merged. there might be more - [ ] whatsnew entry - probably not worthwhile for this
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MDExOlB1bGxSZXF1ZXN0MTY5ODY5ODgx
19,758
DOC: correct Period.strftime exsample
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2018-02-19T02:55:34Z
2018-02-19T14:49:48Z
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CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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19,759
Series[datetime64/timedelta64] bool ops broken
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2018-02-19T04:55:41Z
2020-06-16T07:54:50Z
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MEMBER
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``` dti = pd.date_range('2016-01-01', periods=3) ser = pd.Series(dti) tr = np.array([True, True, True]) >>> ser & tr 0 False 1 False 2 False dtype: bool >>> ser | ser Traceback (most recent call last): File "<stdin>", line 1, in <module> File "pandas/core/ops.py", line 1047, in wrapper ...
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19,760
BUG: regression in DataFrame.transform('func')
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2018-02-19T08:23:57Z
2018-04-25T20:21:41Z
2018-04-25T20:21:41Z
MEMBER
null
From a failing example in the doc build (http://pandas-docs.github.io/pandas-docs-travis/basics.html#transform-api): ```python tsdf = pd.DataFrame(np.random.randn(10, 3), columns=['A', 'B', 'C'], index=pd.date_range('1/1/2000', periods=10)) tsdf.iloc[3:7] = np.nan ``` Using a numpy func di...
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BUG: regression in Timedelta.__rfloordiv__ with integer data
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2018-02-19T08:36:37Z
2018-05-15T10:01:33Z
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MEMBER
null
From a failing example in the docs (http://pandas-docs.github.io/pandas-docs-travis/timeseries.html#from-timestamps-to-epoch): ``` In [46]: stamps = pd.date_range('2012-10-08 18:15:05', periods=4, freq='D') In [47]: stamps.view('int64') // pd.Timedelta(1, unit='s') ----------------------------------------------...
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ENH: ISO8601-compliant datetime string conversion in `iterrows()` and Series construction.
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2018-02-19T09:19:19Z
2018-02-25T23:17:37Z
2018-02-25T23:05:25Z
CONTRIBUTOR
null
- [x] closes https://github.com/pandas-dev/pandas/issues/19671 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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DOC: fix various warnings and errors in the docs (from deprecations/api changes
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PERF: Very slow printing of Series with DatetimeIndex
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2018-02-19T10:39:12Z
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MEMBER
null
Consider this series with a datetime index: ``` s = pd.Series(np.random.randn(int(1e6)), index=pd.date_range("2012-01-01", freq='s', periods=int(1e6))) ``` Showing this in the console or notebook (doing just `s`) is very slow (noticable delay of 1 to 2 seconds in console, around 8 seconds in the...
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DOC/BLD: update vendored IPython.sphinxext version
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5
2018-02-19T10:59:16Z
2018-02-19T13:18:45Z
2018-02-19T13:18:18Z
MEMBER
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updated to commit cc353b25b0fff58e4ed13899df9b3c8153df01d9 from ipython/ipython xref https://github.com/pandas-dev/pandas/issues/18147, https://github.com/pandas-dev/pandas/pull/19687 Alternative for https://github.com/pandas-dev/pandas/pull/19657 until new release of IPython is out
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19,766
DOC: correct Panel.apply exsample
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1
2018-02-19T16:02:22Z
2018-02-20T01:45:57Z
2018-02-19T16:10:32Z
CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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19,767
TST: uncaught warning in min/max localize
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2018-02-19T16:13:20Z
2018-02-23T11:35:01Z
2018-02-23T11:35:01Z
CONTRIBUTOR
null
@jbrockmendel ``` =============================================================================================================================== warnings summary ================================================================================================================================ pandas/tests/scalar/ti...
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19,768
qcut raising ValueError if NaT present
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2018-02-19T17:20:38Z
2018-02-22T11:39:39Z
2018-02-22T11:39:39Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python from io import StringIO import pandas as pd csv = 'Index,Date\n1,2013-01-01 23:00:00\n2,\n3,2013-01-01 23:00:01' df = pd.read_csv(StringIO(csv), index_col=0, parse_dates=[1]) pd.qcut(df["Date"], 2) ``` #### Problem description `qcut` raises a ...
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19,769
DEPR: remove pandas.core.common is_*
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2018-02-19T17:30:28Z
2018-02-22T00:12:51Z
2018-02-22T00:12:22Z
CONTRIBUTOR
null
xref #13990 xref #19304
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298,357,438
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19,770
Fix Timedelta floordiv, rfloordiv with offset, fix td64 return types
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3
2018-02-19T17:45:25Z
2018-06-22T03:23:40Z
2018-02-19T23:16:37Z
MEMBER
null
Fixes xfails introduced in #19752.
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19,771
df.sort_index() leaves us with df.index.is_lexsorted()==False
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2018-02-19T17:52:48Z
2018-02-19T18:28:31Z
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#### Code Sample, a copy-pastable example if possible ``` d=pd.DataFrame( [ [1,2,3], [1,2,4], [2,3,5], [1,None,5], ], columns=['i','j','k'] ) print d.dtypes d = d.set_index(['i','j'])['k'] #d = d.sort_index(level=[0,1]) d = d.sort_index() print d.loc[(2,3)] ...
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19,772
BUG: Fix MultiIndex .loc with all numpy arrays
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2018-02-19T18:12:17Z
2018-02-23T03:50:50Z
2018-02-23T01:40:20Z
CONTRIBUTOR
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- [x] closes #19686 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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BUG: DataFrame.diff(axis=0) with DatetimeTZ data
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2018-02-19T18:42:01Z
2018-03-01T23:48:14Z
2018-03-01T22:50:35Z
MEMBER
null
- [x] closes #18578 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Unfortunately, `DataFrame.diff` doesn't work correctly with axis=1; it returns values like so after this patch: ``` In [2]: df = DataFrame({0: date_range('2010', fre...
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19,774
test_to_hdf_with_object_column_names and test_to_csv_defualt_encoding weird failures
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2
2018-02-19T19:31:53Z
2021-06-19T05:05:51Z
2021-06-19T05:05:51Z
CONTRIBUTOR
null
While trying to build Debian package of 0.22 I am running into two strange test failures: ### 1 ``` self = <pandas.tests.io.test_pytables.TestHDFStore object at 0x7ff583fbe110> def test_to_hdf_with_object_column_names(self): # GH9057 # Writing HDF5 table format should only work for string-l...
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298,387,565
MDExOlB1bGxSZXF1ZXN0MTcwMDQyNzE2
19,775
CI: remove PIP & old conda build in favor of pandas-ci builds
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2
2018-02-19T20:02:37Z
2018-02-19T23:05:15Z
2018-02-19T23:05:15Z
CONTRIBUTOR
null
xref https://github.com/pandas-dev/pandas-ci/pull/3
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298,412,265
MDU6SXNzdWUyOTg0MTIyNjU=
19,776
assert_index_equal checks categories with check_categorical=False
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1
2018-02-19T22:00:49Z
2018-05-19T20:10:00Z
2018-05-19T20:10:00Z
CONTRIBUTOR
null
The behavior of `assert_index_equal` should match `assert_series_equal` here with `check_categorical=False`. ```python In [3]: import pandas.util.testing as tm In [4]: import pandas as pd In [5]: tm.assert_series_equal( ...: pd.Series(pd.Categorical(['a', 'b'])), ...: pd.Series(pd.Categorical(...
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298,414,445
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19,777
API reference is missing the Plotting module
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2
2018-02-19T22:11:49Z
2019-03-12T14:28:37Z
2018-02-22T00:18:04Z
CONTRIBUTOR
null
I noticed this when looking for the documentation page for the `scatter_matrix` function. #### Problem description I needed to check the parameters I needed to pass to `plotting.scatter_matrix`. Had to go all the way to the source code. Turns out none of the functions in `_misc.py` are included in the API refe...
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19,778
CLN: Remove `counts` Argument from Cython GroupBy Aggregations
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5
2018-02-20T00:39:17Z
2019-12-29T18:21:02Z
null
MEMBER
null
All of the Cython aggregation functions accept `counts` as their second argument. In theory, it looks as if this parameter could assist in the handling of `NaN` values within a group, as dictated by the below lines of code: https://github.com/pandas-dev/pandas/blob/e022d9a0886b245afe4af4cc43904a112cd00882/pandas/cor...
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298,441,789
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19,779
ASV: occasional asv failures on xlwt
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2018-02-20T01:00:19Z
2018-03-20T15:47:01Z
2018-02-27T21:28:23Z
CONTRIBUTOR
null
ERROR: type should be string, got "https://travis-ci.org/pandas-dev/pandas-ci/jobs/343616367\r\nthis is on current pandas master (this is just the CI job running it).\r\n\r\nexcel asv's\r\n\r\n```\r\nThe following asvs benchmarks (if any) failed.\r\n[ 43.02%] ··· Running io.excel.Excel.time_read_excel 1/3 failed\r\n xlwt failed \r\nDONE displaying failed asvs benchmarks.\r\n```\r\n\r\nI have seen this work as well. maybe a race-condition?"
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298,456,085
MDExOlB1bGxSZXF1ZXN0MTcwMDkwNTc3
19,780
DOC: added plotting module to the api reference docs
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2018-02-20T02:46:01Z
2018-02-22T00:18:40Z
2018-02-22T00:18:04Z
CONTRIBUTOR
null
- [x ] closes #19777 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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298,458,583
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19,781
DOC: RangeIndex as default index
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3
2018-02-20T03:04:38Z
2018-02-22T10:35:50Z
2018-02-22T02:17:54Z
CONTRIBUTOR
null
Small correction to DataFrame docstring
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19,782
Sparse Ops Cleanup
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2
2018-02-20T03:14:27Z
2018-02-21T00:18:17Z
2018-02-21T00:15:57Z
MEMBER
null
This is in preparation for implementing the direct-pinning discussed [here](https://github.com/pandas-dev/pandas/pull/19649#discussion_r167527010). The main roadblock to that is SparseSeries which calls ops.add_special_arithmetic_methods twice. This PR gets rid of the double-call, so the follow-up will be straight-fo...
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19,783
BUG: GH19458 fixes precision issue in TimeDelta.total_seconds()
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2018-02-20T04:01:37Z
2018-02-20T12:10:09Z
2018-02-20T11:20:47Z
CONTRIBUTOR
null
- [X] closes #19458 - [X] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry
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298,472,683
MDExOlB1bGxSZXF1ZXN0MTcwMTAyMDk2
19,784
DOC: correct Series.searchsorted example
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2018-02-20T05:04:00Z
2018-02-21T14:04:57Z
2018-02-21T10:38:42Z
CONTRIBUTOR
null
two major changes: - categories must be ordered using series.searchsorted. - delete last two exsamples because of `ValueError: Value(s) to be inserted must be in categories`. - [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry ...
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19,785
parametrize a whole mess of tests
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2018-02-20T06:06:59Z
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MEMBER
null
What it says on the tin. Because this is a big diff, nothing is moved or changed other than parametrizing tests.
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19,786
Feature request: pandas.Series.gradient()
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2018-02-20T10:45:09Z
2018-02-21T11:24:45Z
2018-02-21T11:24:45Z
NONE
null
#### Problem description It is common to difference a time series multiple times to stationarize it. I found surprinsing pandas, which is time-series friendly, does not implement this already and requires to iteratively apply pandas.Series.diff() #### Expected Begaviour Same as [np.gradient()](https://docs.scipy....
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19,787
Clean: Categorical.fillna NaN in categories checking
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2018-02-20T12:02:43Z
2018-03-15T23:02:40Z
2018-03-15T23:02:40Z
CONTRIBUTOR
null
We don't allow NaN in the categories anymore, so this block should be unreachable. https://github.com/pandas-dev/pandas/blob/8bfcddc7728deaf8e840416d83c8feda86630d27/pandas/core/arrays/categorical.py#L1622-L1628 If anyone wants to remove it and test things out.
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Categorical.fillna doesn't accept tuples
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2018-02-20T12:10:16Z
2018-05-28T21:57:57Z
2018-05-28T21:57:57Z
CONTRIBUTOR
null
This should maybe work. ```python In [1]: import pandas as pd In [2]: pd.Categorical([(1, 2), None]).fillna((1, 2)) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-2-73c5b4ab00c2> in <module>...
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19,789
pandas.options.__getattr__ raises KeyError instead of AttributeError
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2018-02-20T12:11:14Z
2018-02-24T15:08:17Z
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CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd hasattr(pd.options,'bananas') # should return False but instead raises KeyError: 'bananas' getattr(pd.options,'bananas') # should raise AttributeError but ... pd.options.__getattr__('bananas') # should raise AttributeError but .....
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Raise OptionError instead of KeyError in __getattr__. Fixes #19789.
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2018-02-20T14:51:37Z
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CONTRIBUTOR
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- [x] closes #19789 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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slow execution with internal error visible upon interruption for indexing with dataframe: TypeError: cannot convert bool to an floatblock
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2018-02-20T15:54:24Z
2021-06-19T05:20:32Z
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This code is extremely slow (~100 rows per second): ``` %%time df = pd.DataFrame(np.random.random((20000, 1000)), columns=['c'+str(i) for i in range(1000)]) ix = df[['c1']]>0.5 df[ix].head() ``` If I replace the last line with `df[ix.values].head()` or `df[ix.c1].head()`, then it is very fast. I understan...
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19,792
Series bool ops testing needs fleshing out
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2018-02-20T16:23:46Z
2020-05-22T03:27:58Z
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MEMBER
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Looks like it's almost all in tests.series.test_operators.test_operators_bitwise In particular, op(series, index) will always raise for op in [&, |, ^]. (Presumably also op(series, categorical), but I haven't looked at that closely.) I can fix this and add some basic tests for it, but the dtype logic in `ops._bool...
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DOC: First impressions
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2018-02-20T17:36:38Z
2018-02-20T19:48:54Z
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CONTRIBUTOR
null
I remember sometime in 2014 being told about pandas & numpy and trying to find out more about it. And some of my friends (who haven't coded before) are in a similar position now. And so I'm reminded that the first thing you see is not compelling to a typical new user (e.g. someone who knows Excel and a bit of SQL): ...
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TST: move more series tests to test_arithmetic
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2018-02-20T18:08:31Z
2018-06-22T03:24:31Z
2018-02-21T23:50:05Z
MEMBER
null
Doesn't overlap with other outstanding PRs. Per usual, there is more that _could_ be done, but we're doing this in pieces. - [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Simplify bool ops closures, improve tests
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2018-02-20T18:59:45Z
2020-04-05T17:40:57Z
2018-03-04T21:40:24Z
MEMBER
null
Series bool ops are not going to be possible to dispatch to their Index counterparts, so this one I'm _mostly_ going to leave alone. This breaks up the tests, adds an xfail for op(Series, Categorical), and fixes+tests op(series, Index). It makes some headway in simplifying the closure so the possible paths through th...
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19,796
Group by and bin data with respect to time
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2018-02-20T19:16:01Z
2018-02-21T01:52:12Z
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NONE
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df.set_index('TIME').groupby(pd.TimeGrouper('180M')) or grouped = df.groupby(lambda x: x.hour) i am using this code to divide my time column into groups of 3 hours each. 11pm to 2am ,2am to 5am and so on This method is not yielding the result i want ID | TIME | SMS | ...
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Pandas 'drop_duplicated' is incorrectly removing unique rows
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2018-02-20T19:56:09Z
2019-03-24T22:45:06Z
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NONE
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#### Code Sample, a copy-pastable example if possible ```python import glob import pandas as pd files = glob.glob('*.tab') dfs = [pd.read_csv(fp, sep='\t',index_col=[0], header=0) for fp in files] df = pd.merge(dfs[0], dfs[1],how='outer', left_index=True, right_index=True).sort_index() df1 = pd.merge(dfs...
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DOC: Edit installation instructions for clarity.
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2018-02-20T20:21:41Z
2018-02-21T10:56:32Z
2018-02-21T10:56:22Z
CONTRIBUTOR
null
Rewrote some lines to ease reading. Didn't change substance.
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19,799
PerformanceWarning on _drop_axis()
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2018-02-20T21:09:38Z
2018-02-21T19:58:24Z
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#### Problem description I have this script, that takes 3 csv files, with them I make two groupbys and two merges, the files are uploaded [here](https://github.com/pandas-dev/pandas/files/1744390/dfs.zip), and the code is as follows: ```python import pandas as pd import numpy as np # Only needed if want to see...
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dispatch Series[datetime64] comparison ops to DatetimeIndex
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2018-02-20T21:16:13Z
2018-06-22T03:24:44Z
2018-03-01T22:54:43Z
MEMBER
null
When we tried this a few weeks ago (#19524) there were idiosyncratic CI errors. Hopefully the smaller scope here will avoid that problem. If this works, we'll be very nearly ready to move these ops to the Block level and ensure consistency with DataFrame in addition to Index/Series.
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Suggestion: Temporary Variable in Pandas Data Frame
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2018-02-20T21:55:33Z
2018-02-21T01:48:07Z
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NONE
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#### Temporary Variables While dealing with data in real world, its noted that level of complexity is higher and it would be better if there is some temporary variable inside the pandas data frame itself where we can store the value of the intermediate result which will hep to easily debug results and at the same...
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ENH: Add columns parameter to from_dict
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2018-02-20T21:56:46Z
2018-02-22T10:47:52Z
2018-02-22T10:34:47Z
CONTRIBUTOR
null
- [x] xref #18529 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry @jorisvandenbossche it seems to have been quite straightforward to implement this but let me know if I missed anything.
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298,775,377
MDExOlB1bGxSZXF1ZXN0MTcwMzI4NzQz
19,803
BF: Skip test_read_excel_parse_dates if no xlwt which is used in to_excel
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2018-02-20T22:37:24Z
2018-02-21T17:49:01Z
2018-02-21T11:30:59Z
CONTRIBUTOR
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298,799,497
MDU6SXNzdWUyOTg3OTk0OTc=
19,804
DTI/TDI comparison ops with incompatible types
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2
2018-02-21T00:25:19Z
2020-09-26T23:18:30Z
2020-09-26T23:18:30Z
MEMBER
null
Timestamp and Timedelta comparisons against non-Timestamp/Timedelta-like others return False for `__eq__`, True for `__ne__` and raise `TypeError` for inequalities. DatetimeIndex follows this convention in _some_ cases, but there are paths that will end up raising instead of returning True/False. TimedeltaIndex doesn...
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298,803,138
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19,805
Read_csv error in Pandas 0.22.0n
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2018-02-21T00:45:21Z
2018-02-21T00:53:51Z
2018-02-21T00:53:11Z
NONE
null
I am working on O'Reilly's book, and I can't seem to resolve an issue in chapter 2 -- specifically the function load_housing_data(). Up until in[5], when the issue arises, I have identical code. Then I call: housing = load_housing_data() housing.head() And get an error message: datasets/housing/housing....
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298,815,179
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19,806
Groupby.cumsum()'s skipna option does not work
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2018-02-21T01:54:14Z
2018-03-01T23:13:58Z
2018-03-01T23:13:58Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df = pd.concat([pd.DataFrame({'x':np.random.randn(3), 'gp': 'a'}), pd.DataFrame({'x':np.random.randn(3), 'gp': 'b'})]) df.groupby('gp')['x'].cumsum(skipna=False) ``` #### Problem description DataFrame.cumsum(skipna=False) works. But DataFrame.g...
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298,828,226
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19,807
np.timedelta64 integer coercion in older numpy
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2018-02-21T03:14:24Z
2018-02-21T15:41:49Z
2018-02-21T11:16:13Z
MEMBER
null
Ref #19333 In sufficiently old numpy (the build that caught this bug was running 1.9.2) timedelta64 comparisons have unexpected behavior: ``` value = np.timedelta64(1, 'ns') new_value = int(value) assert value == new_value # <-- raises with modern numpy, passes with older versions ``` This particular co...
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19,808
Failure to identify NaNs as equal in pandas.DataFrame.equals() method (as it should)
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3
2018-02-21T06:57:47Z
2019-10-09T01:38:16Z
2018-02-21T11:20:39Z
CONTRIBUTOR
null
# Code to replicate problem Please see [this link](https://drive.google.com/file/d/1kFhLsHK7YAn2eDIFLi2W0ozha1ux9xov/view?usp=sharing) to download the referenced files. ```python df = pd.read_pickle('bug_df.pickle') df2 = pd.read_pickle('bug_s2c.pickle') try: assert(df.equals(df2.loc[df.index])) except...
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298,862,659
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19,809
Series.add(fill_value=0) changes int dtype to float
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1
2018-02-21T07:09:08Z
2018-07-06T20:21:25Z
2018-02-21T11:08:18Z
CONTRIBUTOR
null
#### Code Sample ```python import pandas as pd pd.Series([1,2,3]).add(pd.Series([100]), fill_value=0) ``` #### Problem description The resulting dtype should be int (as the inputs and `fill_value` are all ints), but it is float: ``` 0 101.0 1 2.0 2 3.0 dtype: float64 ``` #### Output of ``p...
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