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https://api.github.com/repos/pandas-dev/pandas/issues/24112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24112/events | https://github.com/pandas-dev/pandas/issues/24112 | 387,835,001 | MDU6SXNzdWUzODc4MzUwMDE= | 24,112 | IntervalArray equality operators | {
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```python
In [32]: iser = pd.Series(pd.IntervalIndex.from_breaks([1, 2, 3, 4]))
In [33]: iser.array == iser[0]
Out[33]: False
```
I would expect Out[33] to be
```python
np.array([True, False, False])
```
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to the interface is, I think, the easiest way.
Initially I started to write a version on ExtensionBlock, but it proved
to be unwieldy. to write a version that performed well for all types.
It *may* be possible to do using `_ndarray_values` ... | {
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Modernize string formatting
Avoid an unnecessary level of indirection in add_datetimelike_methods for DTA/TDA/PA | {
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This yields a ~15x speedup:
```
asv compare ups... | {
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- [x] tests expanded / parametrized / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24120/events | https://github.com/pandas-dev/pandas/pull/24120 | 388,009,027 | MDExOlB1bGxSZXF1ZXN0MjM2MzcyODEz | 24,120 | REF/TST: Add more pytest idiom to scalar/test_nat | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24121 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24121/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24121/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24121/events | https://github.com/pandas-dev/pandas/issues/24121 | 388,025,716 | MDU6SXNzdWUzODgwMjU3MTY= | 24,121 | BUG - PeriodIndex.freq.normalize option gets cached per process | {
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"id": ... | open | false | null | [] | null | 0 | 2018-12-06T02:08:39Z | 2019-01-13T19:24:08Z | null | CONTRIBUTOR | null | It seems that whatever normalize option is first called for a PeriodIndex freq it is used for the rest of the process (on a per offset type basis). No matter whether the freq is explicitly overwritten with a freq using a different normalize option. This is NOT the case for the offset kwds.
>>> pd.PeriodIndex(['1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24122/events | https://github.com/pandas-dev/pandas/issues/24122 | 388,034,204 | MDU6SXNzdWUzODgwMzQyMDQ= | 24,122 | BigInt save by to_excel ,the value has changed. | {
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```python
In [2]: aaa=pd.DataFrame([947722267893174272,947871269024436488])
In [3]: aaa
Out[3]:
0
0 947722267893174272
1 947871269024436488
In [4]: aaa.to_excel('bbb.xlsx')
In [5]: bbb=pd.read_excel('bbb.xl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24123/events | https://github.com/pandas-dev/pandas/issues/24123 | 388,038,562 | MDU6SXNzdWUzODgwMzg1NjI= | 24,123 | BUG: un-caught date_range overflows | {
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"followers_url": "https://api.github... | 0 | 2018-12-06T03:12:25Z | 2018-12-23T17:32:50Z | 2018-12-23T17:32:50Z | MEMBER | null | <s>TL;DR: can we assume that np.float128 exists (and is actually 128 bits)? If so then this has an easy solution. Otherwise, it's easy-but-tedious.</s> <b>update</b> Turns out the np.float128 solution doesn't as easily as I expected.
```
start = pd.Timestamp('1700-01-01')
end = pd.Timestamp('2250-12-31')
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```
>>> dti = pd.date_range(end=pd.Timestamp.min, periods=2, freq='ns')
>>> dti
Traceback (most recent call last):
File "<stdin>", line 1, in ... | {
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"id": 211029... | closed | false | null | [] | null | 11 | 2018-12-06T07:36:36Z | 2018-12-16T02:08:26Z | 2018-12-16T02:08:26Z | CONTRIBUTOR | null | When checking for errors with ./scripts/validate_docstrings.py, There is an error that comes up:
GL07
'Sections are in the wrong order. Correct order is: ' '{correct_sections}'
I worked on this and will create a pull request for this issue shortly to go into more detail on what I fixed.
@datapythonista | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Original number of errors: 286
Remaining errors: 24 | {
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"followers_url": "https://api.github... | 2 | 2018-12-06T09:26:05Z | 2018-12-13T02:02:20Z | 2018-12-13T02:02:20Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.__version__
'0.23.4'
>>> index = pd.date_range('11/11/2000 06:00:00', periods=50, freq='H')
>>> series = pd.Series(range(50), index=index)
>>> series.head(10)
2000-11-11 06:00:00 0
2000-11-11 07:00:00 1
2000-11-11 08:00:00 2
200... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24129 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24129/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24129/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24129/events | https://github.com/pandas-dev/pandas/pull/24129 | 388,251,748 | MDExOlB1bGxSZXF1ZXN0MjM2NTU5Nzkw | 24,129 | BUG: date_range issue with sub-second granularity | {
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"followers_url": "https://api.github... | 7 | 2018-12-06T15:00:13Z | 2018-12-09T22:26:20Z | 2018-12-09T22:25:41Z | CONTRIBUTOR | null | Improves (but doesn't completely resolve) #24110, to avoid rounding
issues with sub-second granularity timestamps when creating a
date range.
- [x] closes #24110
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24130/events | https://github.com/pandas-dev/pandas/issues/24130 | 388,326,965 | MDU6SXNzdWUzODgzMjY5NjU= | 24,130 | read_csv can't roundtrip with UTF16/32 encodings | {
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"... | closed | false | null | [] | {
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```python
In [4]: with tempfile.TemporaryFile(mode='w+', encoding='utf8') as outfile:
...: outfile.write('foo')
...: outfile.seek(0)
...: pd.read_csv(outfile, encoding='utf8')
```
Not quite so lucky on these:
```python-traceback
In [4]: with tempfile.TemporaryFil... | {
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] | closed | false | null | [] | null | 3 | 2018-12-06T19:51:40Z | 2018-12-09T09:56:37Z | 2018-12-09T09:56:37Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 11:27:44) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> pd.__version__
'0.23.4'
>>> data = {'time_stamp'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24132/events | https://github.com/pandas-dev/pandas/pull/24132 | 388,384,877 | MDExOlB1bGxSZXF1ZXN0MjM2NjYxNzY3 | 24,132 | DOC: Fix order section in docstrings (part II) | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This is to build on #24126 .
As I commented in the issue, this pull request will fix additional 10 out of 24 errors. 14 errors will remain and are referenced in the issue. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24133/events | https://github.com/pandas-dev/pandas/issues/24133 | 388,387,273 | MDU6SXNzdWUzODgzODcyNzM= | 24,133 | .sort_values() is not indexing zeros at the begining | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-12-06T20:35:57Z | 2018-12-06T22:49:16Z | 2018-12-06T22:32:19Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
This_thing= This_thing.set_index(['index_1','index_2']).sort_values(by=['index_1','index_2'])
```
#### Problem description
the indexes of 'index_1' represent a timestamp (e.g. 2018-09-26 05:30:00)and the indexes of 'index_2' are a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24134 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24134/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24134/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24134/events | https://github.com/pandas-dev/pandas/pull/24134 | 388,419,736 | MDExOlB1bGxSZXF1ZXN0MjM2Njg5NjMx | 24,134 | Fix repr of DataFrame with IntervalIndex | {
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"followers_url": "https://api.github... | 8 | 2018-12-06T22:10:22Z | 2018-12-16T07:54:28Z | 2018-12-13T00:51:11Z | MEMBER | null | @TomAugspurger after the repr PR, the docs build catched an error: the repr of a DataFrame with an IntervalIndex started failing:
```
In [1]: df = pd.DataFrame({'A': [1, 2, 3, 4]},
...: index=pd.IntervalIndex.from_breaks([0, 1, 2, 3, 4])) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24135/events | https://github.com/pandas-dev/pandas/issues/24135 | 388,422,889 | MDU6SXNzdWUzODg0MjI4ODk= | 24,135 | BUG: repr of Series with regular (freq) datetime index after reading with msgpack | {
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"followers_url": "https://api.github... | 4 | 2018-12-06T22:20:46Z | 2018-12-18T13:37:37Z | 2018-12-18T13:37:37Z | MEMBER | null | From the io docs:
```
In [18]: s = pd.Series(np.random.rand(5), index=pd.date_range('20130101', periods=5))
In [19]: s ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24136 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24136/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24136/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24136/events | https://github.com/pandas-dev/pandas/issues/24136 | 388,458,027 | MDU6SXNzdWUzODg0NTgwMjc= | 24,136 | Rename silently ignores missing key | {
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] | closed | false | null | [] | null | 1 | 2018-12-07T00:40:26Z | 2018-12-07T00:45:44Z | 2018-12-07T00:45:44Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame([{'a': 1, 'b': 2}, {'a': 10, 'b': 20}])
df.rename(columns={'XXX': 'YYY'})
Out[16]:
a b
0 1 2
1 10 20
```
#### Problem description
If I t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24137 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24137/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24137/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24137/events | https://github.com/pandas-dev/pandas/issues/24137 | 388,484,206 | MDU6SXNzdWUzODg0ODQyMDY= | 24,137 | Incorrect Timestamp Parsing for ISO8601-like Format | {
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```python
import pandas as pd
string = '2016-06-01T02-01-00+00-00'
pd.Timestamp(string)
# Timestamp('2016-06-01 02:00:00+0000', tz='UTC')
```
#### Problem description
The minute is parsed incorrectly. I know this isn't exactly an ISO8601 formatted timest... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24138 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24138/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24138/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24138/events | https://github.com/pandas-dev/pandas/issues/24138 | 388,490,641 | MDU6SXNzdWUzODg0OTA2NDE= | 24,138 | Join or concat int and float by axis=1 would cast int columns to float | {
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## Wait .. below example can't work , I don't know why my dataset would occur this error.
```python
testb = pd.DataFrame({"a": np.ones(5)}).astype(int)
testa = pd.DataFrame({"b": np.zeros(5)}).astype(int)
testc = pd.DataFrame({"c": np.random.rand(5)})
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https://api.github.com/repos/pandas-dev/pandas/issues/24139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24139/events | https://github.com/pandas-dev/pandas/issues/24139 | 388,543,232 | MDU6SXNzdWUzODg1NDMyMzI= | 24,139 | df.eval: "log10" is not a supported function | {
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"followers_url": "https://api.github... | 1 | 2018-12-07T07:54:43Z | 2018-12-09T19:51:28Z | 2018-12-09T19:51:28Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'a': np.random.randn(10)})
a = df.a
expr_works = "log(a)/log(10)"
expr_notsupported = "log10(a)"
out_works = df.eval(expr_works)
out_notsupported = df.eval(expr_notsupported)
```
#### P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24140/events | https://github.com/pandas-dev/pandas/pull/24140 | 388,543,933 | MDExOlB1bGxSZXF1ZXN0MjM2NzgyNjgx | 24,140 | Added log10 to the list of unary functions df.eval can handle | {
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"followers_url": "https://api.github... | 10 | 2018-12-07T07:57:31Z | 2018-12-10T08:59:21Z | 2018-12-09T18:52:10Z | CONTRIBUTOR | null | - [x] closes https://github.com/pandas-dev/pandas/issues/24139
- [x] tests ~~added~~ / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
`(pandas) ➜ pandas git:(binary_math_log) git diff upstream/master -u -- "*.py" | flake8 --diff
`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24141/events | https://github.com/pandas-dev/pandas/pull/24141 | 388,597,863 | MDExOlB1bGxSZXF1ZXN0MjM2ODIzNTI5 | 24,141 | REF/TST: Add more pytest idiom to util/test_util | {
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"followers_url": "https://api.github... | 4 | 2018-12-07T10:38:13Z | 2018-12-07T23:52:33Z | 2018-12-07T21:14:44Z | MEMBER | null | Also breaks up `test_util` into multiple test modules by the function or method tested. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24142/events | https://github.com/pandas-dev/pandas/issues/24142 | 388,635,028 | MDU6SXNzdWUzODg2MzUwMjg= | 24,142 | Categorical.__setitem__ should allow setting a Categorical with same unordered categories | {
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"followers_url": "https://api.github... | 2 | 2018-12-07T12:28:17Z | 2018-12-10T15:21:30Z | 2018-12-10T15:21:08Z | CONTRIBUTOR | null | We'd need to recode the source categorical's codes to the target's.
```python
In [6]: a = pd.Categorical(['a', 'b'], categories=['b', 'a'])
In [7]: b = pd.Categorical(['a', 'b'], categories=['a', 'b'])
In [8]: a[[True, False]] = b[[True, False]]
```
```pytb
-----------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24143/events | https://github.com/pandas-dev/pandas/issues/24143 | 388,644,638 | MDU6SXNzdWUzODg2NDQ2Mzg= | 24,143 | DOC: Deprecation directive in docstrings should be placed before the extended summary | {
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This is correct:
```
def some_old_method():
"""
This is what old methods does.
.. deprecated:: 1.0
Use `some_new_method` instead.
This is an extended summary with more details about
what `some_old_method` ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24144 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24144/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24144/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24144/events | https://github.com/pandas-dev/pandas/issues/24144 | 388,743,637 | MDU6SXNzdWUzODg3NDM2Mzc= | 24,144 | Alternative implementation for `.where` on EA-backed Indexes | {
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... | 4 | 2018-12-07T17:20:49Z | 2021-06-07T21:30:16Z | 2021-06-07T21:30:16Z | CONTRIBUTOR | null | Followup to https://github.com/pandas-dev/pandas/pull/24114.
Right now `Categorical.where` and `IntervalIndex.where` involve converting to objects.
We could use an alternative implementation that copies the underlying array and sets the values.
https://github.com/pandas-dev/pandas/pull/24114#issuecomment-444571... | {
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```python
import pandas as pd
import numpy as np
import time
def inplace_assign(df, **kwargs):
for k, v in kwargs.items():
df[k]=v
return df
def functional_assign(df, **kwargs):
ndf=df.copy(deep=False)
return inplace_assign(ndf, **kwargs)
if... | {
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In [5]: a = pd.Series(pd.Categorical([0, 1, 2], categories=list(range(5))))
In [6]: b = pd.Series(pd.Categorical([2, 3, 4], categories=list(range(5))), index=[2, 3, 4])
In [7]: a.combine_first(b)
Out[7]:
0 0.0
1 1.0
2 2.0
3 NaN
4 NaN
dtype: category
Categories (5, int64): [0, 1, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24148/events | https://github.com/pandas-dev/pandas/issues/24148 | 388,802,988 | MDU6SXNzdWUzODg4MDI5ODg= | 24,148 | DOC: update usage of randn in io.rst | {
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"followers_url": "https://api.github... | 3 | 2018-12-07T20:28:26Z | 2018-12-09T15:49:44Z | 2018-12-09T15:49:44Z | MEMBER | null | In the IO page of the docs (https://github.com/pandas-dev/pandas/blob/master/doc/source/io.rst), there are some occurrences of direct calls to `randn` instead of using the properly imported `np.random.randn` in full, which makes the examples not reproducible if you only imported `import numpy as np`.
A PR that repla... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24149/events | https://github.com/pandas-dev/pandas/pull/24149 | 388,804,028 | MDExOlB1bGxSZXF1ZXN0MjM2OTg1ODQ2 | 24,149 | BUG: Fixed block placment from reindex(?) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24150/events | https://github.com/pandas-dev/pandas/pull/24150 | 388,809,337 | MDExOlB1bGxSZXF1ZXN0MjM2OTkwMDI4 | 24,150 | DOC: fix warnings in whatsnew about MI.labels -> codes rename | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24151/events | https://github.com/pandas-dev/pandas/issues/24151 | 388,817,439 | MDU6SXNzdWUzODg4MTc0Mzk= | 24,151 | Inside rolling apply idxmax and idxmin on Datetime Index do not work as expected | {
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```python
ipdb> df
timestamp
2018-07-01 00:01:25.746187 6399.5
2018-07-01 00:01:26.349274 6400.0
2018-07-01 00:01:26.746187 6401.5
2018-07-01 00:01:27.319575 6399.5
2018-07-01 00:01:29.679575 6393.0
dtype: float64
ipdb> df.index
DatetimeI... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24152/events | https://github.com/pandas-dev/pandas/pull/24152 | 388,820,128 | MDExOlB1bGxSZXF1ZXN0MjM2OTk4NDMx | 24,152 | DOC: remove long listings in the tutorials.rst page | {
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"followers_url": "https://api.github... | 3 | 2018-12-07T21:27:46Z | 2018-12-09T16:08:44Z | 2018-12-09T14:27:16Z | MEMBER | null | Triggered by discussion in https://github.com/pandas-dev/pandas/pull/24117: currently some of the listed tutorials have a very long included table of content, others much less. Here I kept the current list of tutorials, but simply removed detailed tocs of all of them. Each of them can do that on the page you land on wh... | {
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To demonstrate the issue, creating a minimal environment using `conda` and installing the ... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] closes #13291
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https://api.github.com/repos/pandas-dev/pandas/issues/24156 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24156/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24156/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24156/events | https://github.com/pandas-dev/pandas/pull/24156 | 388,857,639 | MDExOlB1bGxSZXF1ZXN0MjM3MDI2MTkz | 24,156 | Issue 24071 | {
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Hi I tried my best, but there is still 4 error unfixed.
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https://api.github.com/repos/pandas-dev/pandas/issues/24157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24157/events | https://github.com/pandas-dev/pandas/pull/24157 | 388,858,583 | MDExOlB1bGxSZXF1ZXN0MjM3MDI2ODIx | 24,157 | BUG: Assorted DatetimeIndex bugfixes | {
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- Deprecate `time_rule` in `offsets.generate_range`
- Improve error messages if NaT gets passed to date_range, or in validate_frequency (closes #11587)
- Preserve timezone in DatetimeIndex->CategoricalIndex->DatetimeIndex (closes #18664)
- Preserve freq when indexing DTI/TDI with Ellipsis (c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24158/events | https://github.com/pandas-dev/pandas/pull/24158 | 388,861,608 | MDExOlB1bGxSZXF1ZXN0MjM3MDI4ODU3 | 24,158 | DOC: Fix quotes position in pandas.core | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24159/events | https://github.com/pandas-dev/pandas/pull/24159 | 388,887,664 | MDExOlB1bGxSZXF1ZXN0MjM3MDQ2NjM0 | 24,159 | BUG - anchoring dates for resample with Day(n>1) | {
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"followers_url": "https://api.github... | 7 | 2018-12-08T05:24:02Z | 2018-12-13T03:20:05Z | 2018-12-13T02:02:21Z | CONTRIBUTOR | null | - [ ] closes #24127
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24160/events | https://github.com/pandas-dev/pandas/pull/24160 | 388,898,475 | MDExOlB1bGxSZXF1ZXN0MjM3MDUzODU3 | 24,160 | DOC: Ignoring F821 in developer.rst, that are breaking the build | {
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] | closed | false | null | [] | null | 4 | 2018-12-08T08:00:43Z | 2018-12-08T18:26:30Z | 2018-12-08T18:26:30Z | MEMBER | null | I merged #18201 without a rebase, and I didn't realize it'd break the CI, because of flake8 errors (variable not defined) in an example that is not supposed to run.
Fixing the CI by ignoring the `F821` errors. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24162/events | https://github.com/pandas-dev/pandas/issues/24162 | 388,920,513 | MDU6SXNzdWUzODg5MjA1MTM= | 24,162 | DataFrame.clip_upper does not preserve dtype per column | {
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"followers_url": "https://api.github... | 3 | 2018-12-08T13:04:26Z | 2018-12-28T19:03:31Z | 2018-12-28T19:03:31Z | NONE | null | #### Code Sample
```python
import pandas as pd
data = pd.DataFrame({'INT': [-1, 0, 10, 9],
'FLOAT': [-0.148, 0.2347, 38.237, 12.2233]},
index=pd.date_range("20180101 00:00", periods=4))
print('Original data:')
print(data.head())
print('\nThis is probably not a bug but my misunde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24163/events | https://github.com/pandas-dev/pandas/pull/24163 | 388,921,346 | MDExOlB1bGxSZXF1ZXN0MjM3MDY3NTg2 | 24,163 | API: Revert breaking `.values` changes | {
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"followers_url": "https://api.github... | 7 | 2018-12-08T13:14:56Z | 2018-12-09T12:11:15Z | 2018-12-09T12:11:12Z | CONTRIBUTOR | null | User-facing change: `Series[period].values` nad `Series[interval].values`
continues to be an ndarray of objects. Recommend ``.array`` instead.
There are a handful of related places in pandas where we assumed that
``Series[EA].values`` was an EA.
Part of #23995 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24164 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24164/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24164/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24164/events | https://github.com/pandas-dev/pandas/issues/24164 | 388,945,907 | MDU6SXNzdWUzODg5NDU5MDc= | 24,164 | DOC: Fix docstrings error SS03 - Summary does not end with a period | {
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I will be working on this and create a pull request afterwards. Thanks. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24165/events | https://github.com/pandas-dev/pandas/pull/24165 | 388,958,640 | MDExOlB1bGxSZXF1ZXN0MjM3MDkwOTQy | 24,165 | DOC: Move 0.23.5 release notes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24166 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24166/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24166/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24166/events | https://github.com/pandas-dev/pandas/issues/24166 | 388,959,228 | MDU6SXNzdWUzODg5NTkyMjg= | 24,166 | Can't be astype a dataframe with CategoricalDtype | {
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import pandas as pd
from pandas.api.types import CategoricalDtype
df = pd.DataFrame({'A': list('abca'), 'B': list('bccd')})
cat_type = CategoricalDtype(categories=list('abcd'), ordered=True)
df_cat = df.astype(cat_type)
```
#### Output of last step:
```ValueError: Buffer has wrong number of dimensions ... | {
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] | closed | false | null | [] | null | 6 | 2018-12-08T23:25:33Z | 2019-01-05T12:38:12Z | 2019-01-05T12:38:12Z | NONE | null | ```python
import pint
import numpy as np
from pandas._libs import hashing
ureg = pint.UnitRegistry()
encoding='utf8'
hash_key='0123456789123456'
vals=np.array([(i*ureg.kilogram) for i in range(0,3)],dtype=object)
vals
```
array([<Quantity(0, 'kilogram')>, <Quantity(1, 'kilogram')>,
<Quantity(2, ... | {
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] | closed | false | null | [] | null | 3 | 2018-12-08T23:26:06Z | 2018-12-22T17:06:56Z | 2018-12-22T17:06:56Z | NONE | null | - [ ] closes ##24167
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24169 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24169/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24169/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24169/events | https://github.com/pandas-dev/pandas/pull/24169 | 388,984,537 | MDExOlB1bGxSZXF1ZXN0MjM3MTA2OTA5 | 24,169 | BUG GH16983 fix df.where with extension dtypes | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The referenced issue showcases two bugs. I was not able to replicate the first one, but I tracked down the cause of the ndim ValueError in the second example. An ExtensionBlo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24170/events | https://github.com/pandas-dev/pandas/pull/24170 | 389,035,351 | MDExOlB1bGxSZXF1ZXN0MjM3MTM4NTM3 | 24,170 | remove enum import for PY2 compat, xref #22802 | {
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```python
import pandas as pd, numpy as np
df = pd.DataFrame({'a': np.arange(1,6),
'b': np.arange(1,6)+2,
'c': np.arange(1,6)**2})
print(f"all columns are int: \n{df}")
df.loc[2,'b'] = np.nan
print(f"if one value in ... | {
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"followers_url": "https://api.github... | 12 | 2018-12-09T17:20:38Z | 2018-12-17T15:06:11Z | 2018-12-17T12:56:13Z | CONTRIBUTOR | null | README.md should link to the development version of the contributing guide, since the stable version may not match current practice for `master`. For example, see #24069 .
I'm not sure this PR is a good idea, but I thought it was easiest open it and get comments directly.
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https://api.github.com/repos/pandas-dev/pandas/issues/24173 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24173/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24173/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24173/events | https://github.com/pandas-dev/pandas/issues/24173 | 389,047,642 | MDU6SXNzdWUzODkwNDc2NDI= | 24,173 | DOC: Fix all flake8 issues and warning in the documentation pages | {
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"id": 211029... | closed | false | null | [] | null | 2 | 2018-12-09T18:03:12Z | 2020-09-26T16:36:12Z | 2020-09-26T16:36:12Z | MEMBER | null | This issue is to track the pending work in making the `.rst` documentation pages be free of PEP-8 and other flake8 issues, and to not generate warnings.
| Page | flake8 | warnings |
|------------------------------|--------|----------|
| `10min.rst` | FAIL: #24174 | FAIL |
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The first step of this issue would be edit `setup.cfg` in the pandas home, and in t... | {
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we import pandas `from pandas import *` implicitly. We instantiate using the implicitly imported class `DataFrame` later in the code.
`df1 = DataFrame(randn(8, 1), columns = ['A'], dtype = 'float32')`
`df1`
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- [X] refs #24173
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- Fix docstring formatting for ```pandas.core.window.Expanding.apply``` and ```pandas.core.window.Rolling.apply```
- Document ```*args``` and ```**kwargs``` parameters:
The following functions had ```*args``` and ```**kwargs``` added to their docstring:
```Rolling.max```
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Two methods still show errors due to their docstrings being generated by the [deprecate](https://github.com/pandas-dev/pandas/blob/v0.23.4/pandas/util/_decorators.py#L10) method... | {
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I couldn't find the linenumbers in the corresponding file, and also couldn't fix it by looking for 'argmin' or 'argmax' in Panda ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24192/events | https://github.com/pandas-dev/pandas/issues/24192 | 389,111,009 | MDU6SXNzdWUzODkxMTEwMDk= | 24,192 | TST: Add missing test case for test_register_option when the key is a reserved key | {
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I would like to try working on this test ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24193/events | https://github.com/pandas-dev/pandas/pull/24193 | 389,111,952 | MDExOlB1bGxSZXF1ZXN0MjM3MTgyODI2 | 24,193 | TST: Add test case when the key is a reserved key | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I saw the reserved_key array on top of the `pandas/core/config.py` file.
```
_reserved_keys = ['all'] # keys which have a special meaning
```
So, I added the test case f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24194 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24194/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24194/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24194/events | https://github.com/pandas-dev/pandas/pull/24194 | 389,159,702 | MDExOlB1bGxSZXF1ZXN0MjM3MjExOTg5 | 24,194 | CLN: Remove tmp.xlsx | {
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"followers_url": "https://api.github... | 4 | 2018-12-10T06:35:32Z | 2018-12-10T16:10:44Z | 2018-12-10T11:47:11Z | MEMBER | null | For some reason a file, `tmp.xlsx`, got included in this commit. https://github.com/pandas-dev/pandas/pull/24086/files#diff-0a840748858a9d8ed007d67b7c7c5fef
Contents are the same as this docstring: https://github.com/pandas-dev/pandas/blob/master/pandas/io/excel.py#L251
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https://api.github.com/repos/pandas-dev/pandas/issues/24195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24195/events | https://github.com/pandas-dev/pandas/issues/24195 | 389,167,257 | MDU6SXNzdWUzODkxNjcyNTc= | 24,195 | pandas.rolling.max() shut down | {
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```python
# Your code here
import pandas as pd
z = pd.read_hdf('sample_data.h5', key='d')
z.rolling('9S', closed='left').max()
#https://github.com/kid3night/pandas_issue_rollin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24196/events | https://github.com/pandas-dev/pandas/issues/24196 | 389,179,801 | MDU6SXNzdWUzODkxNzk4MDE= | 24,196 | Pandas groupby sum misbehaves when one of the columns has string objects. | {
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... | 3 | 2018-12-10T07:52:06Z | 2021-11-05T18:16:13Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'A': 'a b c'.split(), 'B': [1,2,3], 'C': [4,6, 5]})
df['B'] = np.nan
df.groupby(lambda x:x, axis=1).sum(min_count=1)
```
#### Problem description
The output for the above code should return NaN for the column 'B' of the DataFram... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24197/events | https://github.com/pandas-dev/pandas/issues/24197 | 389,187,208 | MDU6SXNzdWUzODkxODcyMDg= | 24,197 | Unexpected Slicing Behavior for DateTimeIndex | {
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```python
>>> dt_idx = pd.DatetimeIndex(['2015-09-14 09:30:00', '2015-09-14 10:00:00',
... '2015-09-14 10:30:00', '2015-09-14 11:00:00'])
>>> start_t = dt_idx[1]
>>> end_t = dt_idx[-1]
>>> pd.Series(index=dt_idx)[start_t:end_t].index # B... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24198/events | https://github.com/pandas-dev/pandas/issues/24198 | 389,206,725 | MDU6SXNzdWUzODkyMDY3MjU= | 24,198 | Lost timezone after groupby transform | {
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```python
import pandas as pd
df = pd.DataFrame({'end_time': [pd.to_datetime('now', utc=True).tz_convert('Asia/Singapore')],
'id': [1]})
df['max_end_time'] = df.groupby('id').end_time.transform(max)
```
`df.info()` shows
```
<cl... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This partially resolves #24177 . | {
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The first step of this issue would be edit `setup.cfg` in the pandas home, and in t... | {
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The first step of this issue would be edit `setup.cfg` in the pandas home, and in t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24202/events | https://github.com/pandas-dev/pandas/issues/24202 | 389,256,883 | MDU6SXNzdWUzODkyNTY4ODM= | 24,202 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.22.0.rst | {
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The first step of this issue would be edit `setup.cfg` in the pandas home, and in t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24203/events | https://github.com/pandas-dev/pandas/pull/24203 | 389,297,940 | MDExOlB1bGxSZXF1ZXN0MjM3MzE3NDI3 | 24,203 | DEPR: Deprecating .clip_lower and .clip_upper | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24204/events | https://github.com/pandas-dev/pandas/pull/24204 | 389,336,224 | MDExOlB1bGxSZXF1ZXN0MjM3MzQ3NDMx | 24,204 | BUG/PERF: Use EA in Index.get_value | {
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Before
```
pandas/tests/arrays/categorical/test_indexing.py F [100%]
========================================================================= FAILURES =========... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24205/events | https://github.com/pandas-dev/pandas/issues/24205 | 389,361,824 | MDU6SXNzdWUzODkzNjE4MjQ= | 24,205 | pd.core.groupby.groupby.DataFrameGroupBy.nth yielding false values with Interval MultiIndex Interval | {
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... | open | false | null | [] | null | 9 | 2018-12-10T15:46:41Z | 2018-12-10T17:14:34Z | null | CONTRIBUTOR | null | Hi,
using a solution for my problem posted on [SO](https://stackoverflow.com/questions/53667685/categorize-data-preserving-all-values), I stumbled upon this bug. Thanks @jorisvandenbossche for looking into that matter and confirming this to be a bug.
```python
np.random.seed(123)
df = pd.DataFrame({'temp_a': np... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24206/events | https://github.com/pandas-dev/pandas/issues/24206 | 389,404,557 | MDU6SXNzdWUzODk0MDQ1NTc= | 24,206 | BUG: reset_index of MultiIndex with CategoricalIndex levels with missing values fails | {
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```
In [23]: idx = pd.MultiIndex([pd.CategoricalIndex(['A', 'B']), pd.CategoricalIndex(['a', 'b'])], [[0, 0, 1, 1], [0, 1, 0, 1]])
In [25]: df = pd.DataFrame({'col': range(len(idx))}, index=idx)
In [26]: df
Out[26]:
col
A a 0
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24207/events | https://github.com/pandas-dev/pandas/issues/24207 | 389,411,173 | MDU6SXNzdWUzODk0MTExNzM= | 24,207 | Add tests asserting that EAs shouldn't be coerced to ndarray | {
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... | 0 | 2018-12-10T17:37:51Z | 2020-05-22T03:30:47Z | null | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/24204 introduced a pattern for ensuring that an extension array (like categorical) isn't implicitly converted to an ndarray as part of a normal pandas operation.
This issue is to discuss
1. How these kinds of tests could be better written (is monkeypatching the best choic... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24208/events | https://github.com/pandas-dev/pandas/issues/24208 | 389,439,719 | MDU6SXNzdWUzODk0Mzk3MTk= | 24,208 | rolling.sum() of zeros produce positive output w/ float64 | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-12-10T18:57:19Z | 2018-12-10T20:11:46Z | 2018-12-10T20:11:29Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import io
import numpy as np
import pandas as pd
def test_rolling_sum(float_type):
err_df = pd.DataFrame([[
123.0,
0.0,
1.123456789,
0.0,
0.0,
0.0,
0.0,
0.0,
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24209/events | https://github.com/pandas-dev/pandas/issues/24209 | 389,459,385 | MDU6SXNzdWUzODk0NTkzODU= | 24,209 | DOC: scripts/validate_docstrings.py should clean up files created from docstrings | {
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Running
`$ python scripts/validate_docstrings.py pandas.read_excel`
Produces a file `tmp.xlsx` in the pandas directory from a docstring in read_excel. We don't want to be accidentally committing these files; therefore, `validate_docstrings.py` sho... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24210/events | https://github.com/pandas-dev/pandas/issues/24210 | 389,469,877 | MDU6SXNzdWUzODk0Njk4Nzc= | 24,210 | Possible bug noticed in pandas excel function | {
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pandas version: 0.18.1
Here is the case:
`First dataframe: product = pd.DataFrame()`
Intend to read in sheet_name=4, indeed the first sheet was read in:
`product = pd.read_excel(excelfile, nrows=1, header=None, usecols=[1],... | {
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"created_at": "2020-11-11T19:05:43Z",
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"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/j... | 4 | 2018-12-10T21:01:21Z | 2021-02-15T22:34:48Z | 2021-02-15T22:34:48Z | NONE | null | #### Code Sample
```python
import pandas as pd
data = [['a', 0.0], ['a', float('nan')], ['b', 1.0], ['b', float('nan')]]
df = pd.DataFrame(data, columns=['key', 'values'])
print(df.groupby('key').transform('ffill'))
print(df.groupby('key')['values'].transform('ffill'))
```
#### Problem description
The firs... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24212/events | https://github.com/pandas-dev/pandas/issues/24212 | 389,485,650 | MDU6SXNzdWUzODk0ODU2NTA= | 24,212 | Merge Using Index Name Produces Incorrect Result | {
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"following_url": "https://api.github.com/users/might2014/following{/other_user}",
"gists_url": "h... | [
{
"color": "e10c02",
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"description": null,
"id": 76811,
"name": "Bug",
"node_id": "MDU6TGFiZWw3NjgxMQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Bug"
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{
"color": "02d7e1",
"default": false,
"description": "Concat, Merge/Join, Stac... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
"creator": {
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"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/j... | 5 | 2018-12-10T21:04:27Z | 2019-01-30T13:21:22Z | 2019-01-30T13:21:22Z | NONE | null | ```
In [1]: import pandas as pd
In [2]: pd.__version__
Out[2]: '0.23.4'
In [3]: df_left_data = [
...: {
...: 'id': 11,
...: 'left_data': 'left_11'
...: },
...: {
...: 'id': 22,
...: 'left_data': 'left_22'
...: },
...: {
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