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https://api.github.com/repos/pandas-dev/pandas/issues/34717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34717/events | https://github.com/pandas-dev/pandas/issues/34717 | 637,293,432 | MDU6SXNzdWU2MzcyOTM0MzI= | 34,717 | PERF: pd.Series.map too slow for huge dictionary | {
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I noticed a similar issue reported before: #21278 and indeed for `Series` input, the first run might be slow and then for the later runs, they are very fast because hashable indexing is built. However... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34718 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34718/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34718/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34718/events | https://github.com/pandas-dev/pandas/pull/34718 | 637,302,742 | MDExOlB1bGxSZXF1ZXN0NDMzMzE3ODY0 | 34,718 | Removed __div__ impls from Cython | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34719 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34719/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34719/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34719/events | https://github.com/pandas-dev/pandas/issues/34719 | 637,323,823 | MDU6SXNzdWU2MzczMjM4MjM= | 34,719 | CI: Failing TestDtype.test_check_dtype on master | {
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] | closed | false | null | [] | null | 4 | 2020-06-11T21:15:44Z | 2020-09-29T11:20:51Z | 2020-09-29T11:20:51Z | CONTRIBUTOR | null | ERROR: type should be string, got "https://travis-ci.org/github/pandas-dev/pandas/jobs/697381484#L3750\r\n\r\n```\r\n____________________ TestDtype.test_check_dtype[Int64Dtype] ____________________\r\n\r\n[gw1] linux -- Python 3.9.0 /home/travis/virtualenv/python3.9-dev/bin/python\r\n\r\nself = <pandas.tests.extension.test_integer.TestDtype object at 0x7f1440e52280>\r\n\r\ndata = <IntegerArray>\r\n\r\n[ 1, 2, 3, 4, 5, 6, 7, 8, <NA>, 10, 11, 12, 13,\r\n\r\n 14, 15, 16, 17,...5, 86, 87, 88, 89, 90, 91,\r\n\r\n 92, 93, 94, 95, 96, 97, <NA>, 99, 100]\r\n\r\nLength: 100, dtype: Int64\r\n\r\n def test_check_dtype(self, data):\r\n\r\n dtype = data.dtype\r\n\r\n \r\n\r\n # check equivalency for using .dtypes\r\n\r\n df = pd.DataFrame(\r\n\r\n {\"A\": pd.Series(data, dtype=dtype), \"B\": data, \"C\": \"foo\", \"D\": 1}\r\n\r\n )\r\n\r\n \r\n\r\n # np.dtype('int64') == 'Int64' == 'int64'\r\n\r\n # so can't distinguish\r\n\r\n if dtype.name == \"Int64\":\r\n\r\n expected = pd.Series([True, True, False, True], index=list(\"ABCD\"))\r\n\r\n else:\r\n\r\n expected = pd.Series([True, True, False, False], index=list(\"ABCD\"))\r\n\r\n \r\n\r\n # FIXME: This should probably be *fixed* not ignored.\r\n\r\n # See libops.scalar_compare\r\n\r\n with warnings.catch_warnings():\r\n\r\n warnings.simplefilter(\"ignore\", DeprecationWarning)\r\n\r\n result = df.dtypes == str(dtype)\r\n\r\n \r\n\r\n> self.assert_series_equal(result, expected)\r\n\r\npandas/tests/extension/base/dtype.py:84: \r\n\r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \r\n\r\npandas/tests/extension/base/base.py:13: in assert_series_equal\r\n\r\n return tm.assert_series_equal(left, right, *args, **kwargs)\r\n\r\npandas/_libs/testing.pyx:68: in pandas._libs.testing.assert_almost_equal\r\n\r\n cpdef assert_almost_equal(a, b,\r\n\r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \r\n\r\n> raise_assert_detail(obj, msg, lobj, robj, index_values=index_values)\r\n\r\nE AssertionError: Series are different\r\n\r\nE \r\n\r\nE Series values are different (25.0 %)\r\n\r\nE [index]: [A, B, C, D]\r\n\r\nE [left]: [True, True, False, False]\r\n\r\nE [right]: [True, True, False, True]\r\n\r\npandas/_libs/testing.pyx:183: AssertionError\r\n```\r\n\r\nThere's a note there about not ignoring the warning. I wonder if that's been changed." | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34720/events | https://github.com/pandas-dev/pandas/pull/34720 | 637,327,297 | MDExOlB1bGxSZXF1ZXN0NDMzMzM4NTQ3 | 34,720 | BUG #34621 added nanosecond support to class Period | {
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Closes #17053
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The class Period do not support nanosecond. I've made a quick and dirty code to support nanoseconds. I have struggled to find an alternative to dateutil.parser, but I didn't found an altern... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34722/events | https://github.com/pandas-dev/pandas/pull/34722 | 637,370,579 | MDExOlB1bGxSZXF1ZXN0NDMzMzczOTEy | 34,722 | CLN: remove verbose and private_key reference #34640 | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/34723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34723/events | https://github.com/pandas-dev/pandas/issues/34723 | 637,371,357 | MDU6SXNzdWU2MzczNzEzNTc= | 34,723 | QST:Need to stop converting my regular values to date formats | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
**Note**: If you'd still like to submit a question, p... | {
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we no longer support this, I guess it *still* works ok. But we should advance this job to be numpy 1.15* at least, i would say we should actually test numpy 1.18* here.
might also need to actually rename the job to reflect the update. | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [ ] closes #xxxx
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- [ ] passes `black pandas`
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This PR address the issue of using Python sets, which is responsible for the bulk of the time in our current asv.
There are other improvements (will raise other PRs), but would need new benchmarks to show a benefit such as different index... | {
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even without #34727 this could provide perf improvements for other index types ( and for unsorted indexes with creating a column-wise function f... | {
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Planning a release candidate for sometime in early July, 1-2 weeks before the final release.
List of open regressions: https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+label%3... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
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**This may be linked to issue #23067**
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
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https://api.github.com/repos/pandas-dev/pandas/issues/34734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34734/events | https://github.com/pandas-dev/pandas/pull/34734 | 637,888,940 | MDExOlB1bGxSZXF1ZXN0NDMzNzkxODg3 | 34,734 | PERF: Fixed perf regression in TimedeltaIndex.get_loc | {
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1.0.3
```python
In [10]: index = pd.timedelta_range(start="1985", periods=1000, freq="D")
...: timedelta = index[500]
...:
...: %timeit index.get_loc(timedelta)
3.7 µs ± 275 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34735/events | https://github.com/pandas-dev/pandas/issues/34735 | 637,957,833 | MDU6SXNzdWU2Mzc5NTc4MzM= | 34,735 | API: Remove PeriodDtype.dtype_code from public API | {
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```python
In [5]: pd.PeriodDtype('D').dtype_code
Out[5]: 6000
```
That wasn't there in 1.0.x. I think we want it to be private. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34736/events | https://github.com/pandas-dev/pandas/pull/34736 | 637,976,756 | MDExOlB1bGxSZXF1ZXN0NDMzODYyNjk0 | 34,736 | BUG: Fixed regression in PeriodIndex loc | {
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This is the smallest change I could get. I'm not sure what a more comprehensive fix would look like.
Regression only on master, so no need for a whatsnew. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34737/events | https://github.com/pandas-dev/pandas/pull/34737 | 638,005,576 | MDExOlB1bGxSZXF1ZXN0NDMzODg2NDg3 | 34,737 | PERF: avoid copy in replace | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-06-12T21:11:45Z | 2020-06-14T14:34:41Z | 2020-06-14T14:34:36Z | CONTRIBUTOR | null | Closes #34136.
Hopefully this preserves the right behavior. I could imagine breaking something if a caller was relying on `putmask(., inplace=False)` returning a copy.
```
import pandas as pd
import numpy as np
df = pd.DataFrame({"A": 0, "B": 0}, index=range(4 * 10 ** 7))
# the 1 can be held in self._df.b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34738 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34738/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34738/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34738/events | https://github.com/pandas-dev/pandas/pull/34738 | 638,018,181 | MDExOlB1bGxSZXF1ZXN0NDMzODk3MDQ0 | 34,738 | BUG: pd.NA in format strings with formatting parameters | {
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Examples:
```python
>>> format(pd.NA)
'<NA>' # master and PR, ok
>>> format(pd.NA, ".1f")
TypeEr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34740/events | https://github.com/pandas-dev/pandas/pull/34740 | 638,121,158 | MDExOlB1bGxSZXF1ZXN0NDMzOTc3MTYy | 34,740 | BUG: pd.NA.__format__ fails with format_specs | {
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Examples:
```python
>>> format(pd.NA)
'<NA>' # master and PR, ok
>>> format(pd.NA, ".1f")
TypeErr... | {
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The linked PR changed the `merge` routines to now only accept tuples for the `suffixes` keyword, and no longer general sequence.
This is a breaking change (eg it breaks some GeoPandas functions), but actually also changing documented behav... | {
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Makes Info class and DataFrameInfo subclass so there's no need for all the
```python
if isinstance(data, ABCDataFrame)
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
See Problem description.
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#### Code Sample, a copy-pastable example
```python
import pandas as pd
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
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The first part of the test checks that the period inside boundaries does not raise exception when calling `start_time` and `end_time` methods. The second part checks that... | {
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Unlike what is mentioned in #27892, this will raise if there are no columns to aggregate. Both mean and median raise with "No numeric types to aggre... | {
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I believe that the reference in the *pivot* section should be to `pivot`, not `pivot_table`, to match the code in the example.
- [ ] closes #xxxx
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] | closed | false | null | [] | null | 2 | 2020-06-14T00:48:14Z | 2020-08-21T17:05:15Z | 2020-06-14T01:35:23Z | CONTRIBUTOR | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
---
Attempts to convert between the new nullable integer and string dtypes result in an error. This might be a different manifestation of the same underlying problem as in: h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34760/events | https://github.com/pandas-dev/pandas/pull/34760 | 638,260,965 | MDExOlB1bGxSZXF1ZXN0NDM0MDc4NTAw | 34,760 | REF: De-duplicate roll_yearday/roll_qtrday | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34761 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34761/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34761/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34761/events | https://github.com/pandas-dev/pandas/pull/34761 | 638,264,803 | MDExOlB1bGxSZXF1ZXN0NDM0MDgxMjU5 | 34,761 | REF: implement shift_bday | {
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```
In [2]: dti = pd.date_range("2016-01-01", periods=10**5, freq="S")
In [3]: off = pd.offsets.BDay() ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34762/events | https://github.com/pandas-dev/pandas/pull/34762 | 638,266,003 | MDExOlB1bGxSZXF1ZXN0NDM0MDgyMTEx | 34,762 | CLN: day->day_opt, remove unused case in liboffsets.get_day_of_month | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34763 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34763/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34763/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34763/events | https://github.com/pandas-dev/pandas/pull/34763 | 638,266,241 | MDExOlB1bGxSZXF1ZXN0NDM0MDgyMjc2 | 34,763 | REF: remove roll_check, use roll_convention | {
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... | open | false | null | [] | null | 2 | 2020-06-14T10:54:51Z | 2020-09-07T03:41:09Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
pd.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34766 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34766/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34766/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34766/events | https://github.com/pandas-dev/pandas/issues/34766 | 638,330,228 | MDU6SXNzdWU2MzgzMzAyMjg= | 34,766 | API: read_excel's header and index_col handling rules | {
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`read_excel`'s `header` and `index_col` handling rules I see (a little chaotic [demo_suite.zip](https://github.com/pandas-dev/pandas/files/4776287/demo_suite.zip)):
- in all cases of `header`:
- cells `(header, outside of index_col)` are used as `df.columns`.
- if `header` is a integer/one-item list... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This regression was a symptom of `DataFrameGroupBy.size` ignoring `as_index=False`. Fixing this now makes the result either a frame or series, so wh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34768 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34768/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34768/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34768/events | https://github.com/pandas-dev/pandas/pull/34768 | 638,358,167 | MDExOlB1bGxSZXF1ZXN0NDM0MTQ5MTM5 | 34,768 | BUG, TST: fix-_check_ticks_props | {
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This is because of
```python
if ylabelsize
```
instead of
```python
if ylabelsize is not None
```
being used.
The test I've added fails on master:
```python-traceback
(pandas-dev) marco@marco-... | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2020-06-14T14:54:47Z | 2020-11-13T02:51:08Z | 2020-11-13T02:51:08Z | CONTRIBUTOR | null | we should split up this test file into a separate subdir and multiple test modules for better groking. first PR should be a straight move, then can split (or all in one is ok) | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
1. Move `min_periods` validation to constructor
2. Stronger cython type defintions
3. Typing EWM methods | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
I'm seeing a significant variance in timings for common math operations (e.g. `mea... | {
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I would like to save DataFrame with Multi-Index used for columns into parquet format.
This is currently not possible.
```python
import pandas as pd
df = pd.DataFrame([[1,2,3],[4,5,6],[7,8,9]], columns= pd.MultiIndex.from_product([['1'],['a', 'b', 'c']]))
df.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34778 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34778/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34778/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34778/events | https://github.com/pandas-dev/pandas/pull/34778 | 638,438,618 | MDExOlB1bGxSZXF1ZXN0NDM0MjA4MTAw | 34,778 | REF: de-duplicate code in liboffsets | {
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In [2]: dti = pd.date_range("2016-01-01", periods=10000, freq="S")
In [3]: off = pd.offsets.BMonthEnd(2)
In [4]: %timeit dti + off
3.36 ms ± 14 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34779/events | https://github.com/pandas-dev/pandas/issues/34779 | 638,458,586 | MDU6SXNzdWU2Mzg0NTg1ODY= | 34,779 | CI: gbq tests failing | {
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and specificallly these 2 builds: https://travis-ci.org/github/pandas-dev/pandas/jobs/698328378
cc @alimcmaster1 @tswast
if you have any insights | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34780 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34780/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34780/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34780/events | https://github.com/pandas-dev/pandas/pull/34780 | 638,466,789 | MDExOlB1bGxSZXF1ZXN0NDM0MjI5Mzk2 | 34,780 | TST: remove super slow cases on upsample_nearest_limit | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34782 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34782/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34782/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34782/events | https://github.com/pandas-dev/pandas/pull/34782 | 638,479,760 | MDExOlB1bGxSZXF1ZXN0NDM0MjM5NDcy | 34,782 | REF: avoid using DTA/PA methods in Week.apply_index | {
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```
In [2]: dti = pd.date_range("2016-01-01", periods=10000, freq="S")
In [3]: off = pd.offsets.Week(1, False, 3)
In [4]: %timeit dti + off
3.22 ms ± 3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34783 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34783/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34783/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34783/events | https://github.com/pandas-dev/pandas/pull/34783 | 638,514,230 | MDExOlB1bGxSZXF1ZXN0NDM0MjY0OTk5 | 34,783 | REF: avoid DTA/PA methods in SemiMonthOffset.apply_index | {
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```
In [2]: dti = pd.date_range("2016-01-01", periods=10000, freq="S")
In [3]: off = pd.offsets.SemiMonthEnd(-2)
In [4]: %timeit dti + off ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34784 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34784/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34784/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34784/events | https://github.com/pandas-dev/pandas/issues/34784 | 638,627,528 | MDU6SXNzdWU2Mzg2Mjc1Mjg= | 34,784 | BUG: pd.Series.rolling - center=True doesnt work when using numba engine | {
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**Rolling over a Series with center=True gives different results depending on the engine used:**
```python
import pandas as pd
test_ser = pd.Series(np.arange(0,10))
rolled_without_numba =test_ser.rolling(3, center=True).apply(lambda x:x[1],raw=True)
rolled_with_numba = test_ser.rolling(3, center=True).appl... | {
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cc @simonjayhawkins @alimcmaster1 | {
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@jorisvandenbossche another set of eyes needed as this was not a clean cherry-pick | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34789 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34789/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34789/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34789/events | https://github.com/pandas-dev/pandas/issues/34789 | 638,706,497 | MDU6SXNzdWU2Mzg3MDY0OTc= | 34,789 | BUG: Replace raises TypeError if to_replace is Dict with numeric DataFrame and key of Dict is String | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
```python
df = pd.DataFrame({'Data': [1, 2], 'partition': [1, 2]}, index=['2000-01-01', '2010-01-02'])
data_path_with_... | {
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`pandas/tests/plotting/test_converter.py::TestRegistration::test_pandas_plots_register`
in Windows py37_np_18
```
AssertionError: Caused unexpected warning(s): [('DeprecationWarning', DeprecationWarning("Using or importing the ABCs from 'collections... | {
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I think maybe the additions should also go in master. let's see what happens here first. | {
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Closes https://github.com/pandas-dev/pandas/issues/33903
(Do we have a list of issues for deprecations introduced in 1.x?) | {
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This might help with two things
1. A coordination point for 3rd-party libraries creating objects they'd like to turn into DataFrames, and users of those libraries
2. Possibly, simplification of `DataFrame.__init__`
#### Describe the solution you'd like
A n... | {
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- https://pandas.pydata.org/pandas-docs/dev/whatsnew/v1.1.0.html#other-api-changes
- https://pandas.pydata.org/pandas-docs/dev/whatsnew/v1.1.0.html#backwards-incompatible-api-changes. According to our version policy we shouldn't have any API-breaking changes ... | {
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@WillAyd on 1.0.x. we have cython>=0.29.13 and on master cython>=0.29.16. is this an issue?
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
s_obj = pd.Series(['1', '2', '3'])
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In pandas 1.0.3
```python
In [2]: pd.to_timedelta([1, 2, 'error'], errors="coerce", unit="ns")
Out[2]: TimedeltaIndex(['00:00:00.000000', '00:00:00.000000', NaT], dtype='timedelta64[ns]', freq=None)
```
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retaining the spirit of the spirit of
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https://api.github.com/repos/pandas-dev/pandas/issues/34814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34814/events | https://github.com/pandas-dev/pandas/pull/34814 | 639,331,094 | MDExOlB1bGxSZXF1ZXN0NDM0OTQyMjg5 | 34,814 | ENH: add masked algorithm for mean() function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34815/events | https://github.com/pandas-dev/pandas/pull/34815 | 639,343,611 | MDExOlB1bGxSZXF1ZXN0NDM0OTUyMjk1 | 34,815 | CLN: liboffsets annotations | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34816/events | https://github.com/pandas-dev/pandas/pull/34816 | 639,353,778 | MDExOlB1bGxSZXF1ZXN0NDM0OTYwNDU4 | 34,816 | BUG: Respect center=True in rolling.apply when numba engine is used | {
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