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https://api.github.com/repos/pandas-dev/pandas/issues/5001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5001/events | https://github.com/pandas-dev/pandas/pull/5001 | 20,138,013 | MDExOlB1bGxSZXF1ZXN0ODY0NDI5Mg== | 5,001 | API: Remove set_printoptions/reset_printoptions (:issue:3046) | {
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closes #3215
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https://api.github.com/repos/pandas-dev/pandas/issues/5002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5002/events | https://github.com/pandas-dev/pandas/issues/5002 | 20,142,879 | MDU6SXNzdWUyMDE0Mjg3OQ== | 5,002 | Error resampling after selecting data | {
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I am using pandas version 0.10.1 and numpy version 1.7.1.
I get a missing row if I select a subset of the data before resampling. The following script reproduces the problem with simple data.
``` python
import pandas as pd
from StringIO import StringIO
f = StringIO("""\
time,row_id,a,b
2011-06-03 00:00:05,340... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5003/events | https://github.com/pandas-dev/pandas/pull/5003 | 20,149,941 | MDExOlB1bGxSZXF1ZXN0ODY1MTA1MQ== | 5,003 | BUG: wrong index name during read_csv if using usecols | {
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If user passes usecols and not names, then ensure that the
inferred names refer to the used columns, not the document's
columns.
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https://api.github.com/repos/pandas-dev/pandas/issues/5004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5004/events | https://github.com/pandas-dev/pandas/pull/5004 | 20,150,571 | MDExOlB1bGxSZXF1ZXN0ODY1MTM3NQ== | 5,004 | ENH: Support for "52–53-week fiscal year" / "4–4–5 calendar" and LastWeekOfMonth DateOffset | {
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- Added `LastWeekOfMonth` DateOffset #4637
- Added `FY5253`, and `FY5253Quarter` DateOffsets #4511
- Improved error handling in `get_freq_code`, `_period_str_to_code` and `_base_and_stride`
- Fix issue with datetime - Timestamp
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https://api.github.com/repos/pandas-dev/pandas/issues/5005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5005/events | https://github.com/pandas-dev/pandas/issues/5005 | 20,154,314 | MDU6SXNzdWUyMDE1NDMxNA== | 5,005 | Missing 1st row after resample | {
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I am using pandas 0.10.1
``` python
import pandas as pd
from datetime import datetime
from StringIO import StringIO
f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5006 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5006/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5006/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5006/events | https://github.com/pandas-dev/pandas/issues/5006 | 20,176,069 | MDU6SXNzdWUyMDE3NjA2OQ== | 5,006 | .iloc with 1-element integer array behaves badly | {
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``` python
>>> import pandas, numpy
>>> column = pandas.Series(numpy.arange(10))
>>> indices, = ... | {
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... | 2 | 2013-09-27T17:18:48Z | 2019-10-09T05:47:29Z | 2019-10-09T05:47:29Z | NONE | null | Hi everybody,
I worked today with a lot of unicode data and deeply missed the option to define a default_charset when writing a dataframe to a new sql table. I did not know that pandas uses "latin-1" as default and ran into various strange encoding problems such as "Data too long for column" when inserting my unicode ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5012/events | https://github.com/pandas-dev/pandas/pull/5012 | 20,195,472 | MDExOlB1bGxSZXF1ZXN0ODY3NjA4NA== | 5,012 | ENH: Removing unnecessary whitespace when formatting to a HTML table. | {
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The problem is that all formatters always call `_make_fixed_width`. So, the only solution I found is just to strip the unnecessary whitespace.
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https://api.github.com/repos/pandas-dev/pandas/issues/5014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5014/events | https://github.com/pandas-dev/pandas/issues/5014 | 20,201,274 | MDU6SXNzdWUyMDIwMTI3NA== | 5,014 | test_resample_median_bug_1688 fails locally | {
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```
FAIL: test_resample_median_bug_1688 (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/alex/git/pandas/pandas/tseries/tests/test_resample.py", line 620, in test_resampl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5015/events | https://github.com/pandas-dev/pandas/issues/5015 | 20,201,469 | MDU6SXNzdWUyMDIwMTQ2OQ== | 5,015 | Add documentation on rule_code in DateOffset | {
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... | 2 | 2013-09-27T23:50:41Z | 2021-04-11T03:27:47Z | 2021-04-11T03:27:47Z | CONTRIBUTOR | null | There seems to be some requirements of the form the `rule_code` can take. These requirements are not clearly documented.
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https://api.github.com/repos/pandas-dev/pandas/issues/5016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5016/events | https://github.com/pandas-dev/pandas/issues/5016 | 20,203,704 | MDU6SXNzdWUyMDIwMzcwNA== | 5,016 | NaN in columns produces TypeError | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2013-09-28T01:24:50Z | 2013-09-28T19:22:59Z | 2013-09-28T19:22:45Z | CONTRIBUTOR | null | ``` python
>>> pd.DataFrame([[1,2,3]], columns=[1.1,2.2,np.nan])
Traceback (most recent call last):
...
TypeError: ("'NoneType' object is not iterable", u'occurred at index 2.2')
```
Is this a bug or a feature? I don't see anything about that in the `v0.13.0.txt`, and it worked in 0.12:
``` python
>>> pd.DataFrame([[... | {
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Google Document can be use to generate survey and results of survey will be stored as a Google Spreadsheet document.
Maybe Pandas should provide a `pd.io.gspread.read_frame` function that will read a given Google Spreadsheet document (using email, password, url or name of d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5020/events | https://github.com/pandas-dev/pandas/issues/5020 | 20,218,447 | MDU6SXNzdWUyMDIxODQ0Nw== | 5,020 | ENH: Safer stream handling for Python 2 | {
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"f... | 2 | 2013-09-28T20:16:26Z | 2019-09-19T17:17:03Z | 2019-09-19T17:17:02Z | CONTRIBUTOR | null | The lengthy conversation that started this issue can be found in the pull request #4955.
The basic idea is to create a safe stream wrapper in the `PythonParser.__init__` function that will always emit unicode strings instead of the current implementation that in some cases return `str` and in other return `unicode` de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5021/events | https://github.com/pandas-dev/pandas/issues/5021 | 20,218,605 | MDU6SXNzdWUyMDIxODYwNQ== | 5,021 | isin doesn't work for Timestamps | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5022/events | https://github.com/pandas-dev/pandas/pull/5022 | 20,218,760 | MDExOlB1bGxSZXF1ZXN0ODY4NTY1Mg== | 5,022 | CLN/ENH: Provide full suite of arithmetic (and flex) methods to all NDFrame objects. | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-09-28T20:37:55Z | 2014-07-09T23:49:20Z | 2013-09-29T17:02:25Z | CONTRIBUTOR | null | There's a lot of overlap right now, this is the first step to trying to
make this cleaner.
- Abstract all arithmetic methods into core/ops
- Add full range of flex arithmetic methods to all NDFrame/ndarray
PandasObjects (except for SparsePanel pow and mod, which only work for
scalars)
- Normalize arithmetic methods... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5023/events | https://github.com/pandas-dev/pandas/issues/5023 | 20,219,183 | MDU6SXNzdWUyMDIxOTE4Mw== | 5,023 | DOC: improve documentation for Series.resample | {
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... | 9 | 2013-09-28T21:06:43Z | 2020-03-31T03:58:51Z | 2020-03-31T03:58:38Z | CONTRIBUTOR | null | Reference docs (see: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.resample.html):
- [ ] Add to docs the list of options that can be passed to `fill_method`. Some of which are `pad`, `bfill`, `ffill`.
-- The list seems to be documented for the `method` on `fillna`: http://pandas.pydata.org/pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5024/events | https://github.com/pandas-dev/pandas/issues/5024 | 20,219,234 | MDU6SXNzdWUyMDIxOTIzNA== | 5,024 | Series.resample convention parameter is not well documented | {
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http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.resample.html
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https://api.github.com/repos/pandas-dev/pandas/issues/5025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5025/events | https://github.com/pandas-dev/pandas/pull/5025 | 20,219,269 | MDExOlB1bGxSZXF1ZXN0ODY4NTg2Mg== | 5,025 | ENH: Excel output in non-ascii encodings | {
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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Closes #3710.
Notice: Despite (for my modest knowledge of python) it should be easier to just put encoding='ascii' in the declaration of to_excel in line 1352 of frame.py, I've declared it with encoding=None as jreback suggested, and then making it defaul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5026/events | https://github.com/pandas-dev/pandas/issues/5026 | 20,220,091 | MDU6SXNzdWUyMDIyMDA5MQ== | 5,026 | Series.resample leads to RuntimeError: maximum recursion depth exceeded while calling a Python object | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-09-28T22:06:39Z | 2016-10-12T23:04:14Z | 2013-09-28T22:24:07Z | CONTRIBUTOR | null | ```
rng = pd.date_range('1/1/2012', periods=4, freq=pd.offsets.YearEnd())
s = pd.Series(np.random.randn(4), index=rng)
s.resample(rule=pd.offsets.Week(weekday=0), fill_method="pad", closed="left", kind="period")
```
leads to:
```
...
/usr/local/lib/python2.7/dist-packages/pandas/tseries/period.pyc in _from_arraylike(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5027/events | https://github.com/pandas-dev/pandas/issues/5027 | 20,221,181 | MDU6SXNzdWUyMDIyMTE4MQ== | 5,027 | ENH/DOC: stability guide | {
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"f... | 26 | 2013-09-28T23:36:12Z | 2019-12-23T04:21:29Z | 2019-12-23T04:21:29Z | NONE | null | I've had recently made the experience of implementing and maintaining different down-stream applications supporting or building upon pandas. One thing I've learned is that it's quite painful to write code that e.g. runs for pandas 0.7.3 up to current master. Although 0.7.3 seems rather old given the rapid dev-cycle and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5028/events | https://github.com/pandas-dev/pandas/issues/5028 | 20,221,347 | MDU6SXNzdWUyMDIyMTM0Nw== | 5,028 | _offset_map appears to have redundant data | {
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... | 11 | 2013-09-28T23:52:53Z | 2021-04-11T03:31:57Z | 2021-04-11T03:31:57Z | CONTRIBUTOR | null | Many / most of the entries in `_offset_map` look like:
```
_offset_map['X'] = OffsetX()
```
where `X` is a string literal for what would have been returned by `OffsetX().rule_code`
See for example: https://github.com/pydata/pandas/blob/master/pandas/tseries/frequencies.py#L132
This makes adding to and maintaining t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5029/events | https://github.com/pandas-dev/pandas/issues/5029 | 20,221,846 | MDU6SXNzdWUyMDIyMTg0Ng== | 5,029 | read_html does not correctly parse table cells with commas | {
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"description": "IO issues that don't fit... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 15 | 2013-09-29T00:51:11Z | 2016-10-12T23:04:14Z | 2013-10-03T02:26:05Z | CONTRIBUTOR | null | `read_html`, find the correct table, parses the structure of the table (inclusing row and header labels), but does not parse the data:
`tables = pd.read_html("http://www.camacau.com/changeLang?lang=en_US&url=/statistic_list")`
```
In [119]: tables[7]
Out[119]:
0 1 2 3 4 5 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5030/events | https://github.com/pandas-dev/pandas/issues/5030 | 20,222,101 | MDU6SXNzdWUyMDIyMjEwMQ== | 5,030 | BUG: Series flex methods don't work with datetime-likes | {
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... | 3 | 2013-09-29T01:17:32Z | 2017-12-18T22:56:58Z | 2017-12-18T22:56:58Z | CONTRIBUTOR | null | It's because of Series._bin_op says @jreback.
This fails.
``` python
>>> from datetime import timedelta
>>> from pandas import Series, DataFrame, date_range
>>> s = Series(date_range('2012-1-1', periods=3, freq='D'))
>>> s.sub(s.max())
TypeError: ufunc sub cannot use operands with types dtype('<M8[ns]') and dtype('O... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5031/events | https://github.com/pandas-dev/pandas/issues/5031 | 20,222,126 | MDU6SXNzdWUyMDIyMjEyNg== | 5,031 | move experimental section in 0.13 docs to below new features section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5032/events | https://github.com/pandas-dev/pandas/issues/5032 | 20,222,424 | MDU6SXNzdWUyMDIyMjQyNA== | 5,032 | Period/DatetimeIndex may not be broadcasting correctly | {
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... | 2 | 2013-09-29T01:54:35Z | 2015-09-07T04:42:01Z | 2015-09-07T04:40:44Z | CONTRIBUTOR | null | First two examples pass, third example doesn't.
``` python
# GH 4629
# arithmetic datetime64 ops with an index
s = Series(date_range('20130101',periods=5),index=date_range('20130101',periods=5))
expected = s-s.index.to_series()
result = s-s.index
assert_series_equal(result,expected)
result = s-s.index.to_period()
as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5033/events | https://github.com/pandas-dev/pandas/issues/5033 | 20,222,668 | MDU6SXNzdWUyMDIyMjY2OA== | 5,033 | DateOffsets raise TypeError rather than NotImplemented on arithmetic | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-09-29T02:21:53Z | 2013-09-29T17:02:25Z | 2013-09-29T17:02:25Z | CONTRIBUTOR | null | this blocks delegation to the `__r*__` methods.
```
In [7]: %paste
s = Series([Timestamp('20130101 9:01'), Timestamp('20130101 9:02')])
## -- End pasted text --
In [8]: s
Out[8]:
0 2013-01-01 09:01:00
1 2013-01-01 09:02:00
dtype: datetime64[ns]
In [9]: offsets.Second(5)
Out[9]: <5 * Seconds>
In [10]: of... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5034/events | https://github.com/pandas-dev/pandas/pull/5034 | 20,222,721 | MDExOlB1bGxSZXF1ZXN0ODY4NzEzNA== | 5,034 | BUG/CLN: numpy compat with pandas numeric functions and cln of same (GH4435) | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-09-29T02:25:49Z | 2014-06-24T03:57:23Z | 2013-09-29T19:20:49Z | CONTRIBUTOR | null | related #4787 (keywords now pass thru to _reduce), default for `numeric` is still `None`
closes #4435
BUG: provide numpy compatibility with 1.7 when implicity using `__array__`, IOW:
`np.prod(s)`, or `np.mean(df,axis=1)` will now work (because numpy _decided_ to try to see if the
object has this function and then pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5035/events | https://github.com/pandas-dev/pandas/issues/5035 | 20,223,100 | MDU6SXNzdWUyMDIyMzEwMA== | 5,035 | BUG: bool methods are wrong with DataFrame and Series (or at least wrong error) | {
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"color": "AD7... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 8 | 2013-09-29T02:59:34Z | 2019-10-05T23:03:30Z | 2019-10-05T23:03:29Z | CONTRIBUTOR | null | ```
from pandas import Series, DataFrame
s = Series([2, 3, 4, 5, 6, 7, 8, 9, 10])
d = DataFrame({'a': s})
s + d
d + s
print(d & s)
```
produces Traceback:
```
raceback (most recent call last):
File "testcase2.py", line 6, in <module>
print(d & s)
File "../pandas/core/frame.py", line 217, in f
return self.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5036/events | https://github.com/pandas-dev/pandas/pull/5036 | 20,223,538 | MDExOlB1bGxSZXF1ZXN0ODY4NzQ3OQ== | 5,036 | R dataset | {
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The problems:
- `pandas.rpy.common.load_data` currently fails to load high-dimensional arrays such as the "Titanic" dataset. `load_data` prints an error to stdout and returns None.
- Applying `load_data` to "iris3", "... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5037/events | https://github.com/pandas-dev/pandas/pull/5037 | 20,224,026 | MDExOlB1bGxSZXF1ZXN0ODY4NzY1Ng== | 5,037 | DOC: make experimental functionality more visible in release notes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5038/events | https://github.com/pandas-dev/pandas/pull/5038 | 20,228,900 | MDExOlB1bGxSZXF1ZXN0ODY4OTU2MQ== | 5,038 | CLN: PEP8 cleanup | {
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If this is acceptable, I can continue doing this and go through the whole pandas codebase. There are just a few things that I would like to check if this is acceptable:
1. PEP8: "For flowing long blocks ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5039/events | https://github.com/pandas-dev/pandas/issues/5039 | 20,229,220 | MDU6SXNzdWUyMDIyOTIyMA== | 5,039 | BUG: Running pandas/computation/test_eval individually generates RuntimeWarnings about tp_compare | {
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```
../pandas/core/index.py:898: RuntimeWarning: tp_compare didn't return -1 or -2 for exception
result.sort()
../python2.7/site-packages/numpy/core/fromnumeric.py:595: RuntimeWarning: tp_compare didn't return -1 or -2 for exception
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https://api.github.com/repos/pandas-dev/pandas/issues/5040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5040/events | https://github.com/pandas-dev/pandas/pull/5040 | 20,231,030 | MDExOlB1bGxSZXF1ZXN0ODY5MDIwNw== | 5,040 | TST: added null conversions for TimeDeltaBlock in core/internals related (GH4396) | {
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NaT wraparound bug again, fixed
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https://api.github.com/repos/pandas-dev/pandas/issues/5041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5041/events | https://github.com/pandas-dev/pandas/issues/5041 | 20,232,174 | MDU6SXNzdWUyMDIzMjE3NA== | 5,041 | TST: Unused codepaths in computation/tests/test_eval | {
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From `check_complex_cmp_ops`
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TST: Add tests to demonstrate the enhancements made to rpy/common.py.
DOC: Add explanation to doc/source/release.rst
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"followers_url": "https://api.github.com/users/... | 1 | 2013-09-29T20:02:40Z | 2013-10-28T01:28:52Z | 2013-10-28T01:14:38Z | CONTRIBUTOR | null | post #4324
- [ ] Fillna column wise, #4514
- [x] interpolation, consolidate Series/DataFrame interpolation to internals.Block.interpolatte, #4434, cc @TomAugspurger
- [ ] update, #3025
- [ ] shift, #4865, #4994
- [ ] sort, #5190
- [ ] dropna API for Series, see #5234, #5250
- [ ] in place dropna , #1960
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names. I've tried to fix them where I can; however, those parts of the
code are also clearly untested (or tested with
`assertRaises(Exception,...)`) so they need some love.
The PyTables code had a bunch of places with undefined `TermValue`, as
did sta... | {
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try/except.
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https://api.github.com/repos/pandas-dev/pandas/issues/5048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5048/events | https://github.com/pandas-dev/pandas/issues/5048 | 20,237,441 | MDU6SXNzdWUyMDIzNzQ0MQ== | 5,048 | BUG: read_html does not parse correctly the header of non-string columns | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-09-29T22:35:59Z | 2016-10-12T23:04:14Z | 2013-10-03T02:26:05Z | CONTRIBUTOR | null | I presume that the problem is that the data is first parsed and then the header is selected out. But when the dtype of the column is a number type the item that should become the column name, since it's not a valid number, becomes `NaN`.
Sample data:
``` python
data1 = io.StringIO(u'''<table>
<thead>
<tr>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5049/events | https://github.com/pandas-dev/pandas/issues/5049 | 20,237,830 | MDU6SXNzdWUyMDIzNzgzMA== | 5,049 | EXPM: re-evaluate experimental | {
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"f... | 6 | 2013-09-29T23:01:32Z | 2019-10-27T02:14:39Z | 2019-10-27T02:14:38Z | CONTRIBUTOR | null | leave as experimental or change docs
- [ ] eval/query
- [ ] CustomBusinessDay
- [x] msgpack #27084 (deprecating)
- [ ] BigQuery
- [x] Panel4D -> deprecated
- [x] PanelND -> deprecated
- [ ] SQL changes
- [ ] r*flex methods
- [ ] get_options_data (#5602)
- [ ] DataFrame.style
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https://api.github.com/repos/pandas-dev/pandas/issues/5050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5050/events | https://github.com/pandas-dev/pandas/pull/5050 | 20,240,526 | MDExOlB1bGxSZXF1ZXN0ODY5MzY0Mg== | 5,050 | API: provide __dir__ method (and local context) for tab completion / remove ipython completers code | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-09-30T02:01:15Z | 2014-06-25T01:17:18Z | 2013-10-01T00:04:14Z | CONTRIBUTOR | null | closes #4501
this removes the ipython completers code and instead defines `__dir__`,
with a `_local_dir` that a class can override
NDFrame objects will have a pre-defined local of the info_axis (e.g. columns in a DataFrame)
for example:
```
In [1]: df = DataFrame(columns=list('ABC'))
In [2]: df.
Display all 199 po... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5051/events | https://github.com/pandas-dev/pandas/pull/5051 | 20,240,788 | MDExOlB1bGxSZXF1ZXN0ODY5Mzc2Mg== | 5,051 | CLN: Fixups to exceptions in generic | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5052/events | https://github.com/pandas-dev/pandas/pull/5052 | 20,241,713 | MDExOlB1bGxSZXF1ZXN0ODY5NDA2OQ== | 5,052 | ENH/DOC: Cleanup docstrings on NDFrame | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2013-09-30T02:58:12Z | 2014-07-16T08:32:14Z | 2013-10-01T04:00:14Z | CONTRIBUTOR | null | Resolves much of #4717. Basically cleans up docstrings in a few places
plus, for the few functions that need them, uses a shared dict of
function definitions to share them. This has the side-benefit of letting
the function docstrings reside right next to the functions themselves,
maintaining readability.
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https://api.github.com/repos/pandas-dev/pandas/issues/5053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5053/events | https://github.com/pandas-dev/pandas/pull/5053 | 20,242,004 | MDExOlB1bGxSZXF1ZXN0ODY5NDE4Nw== | 5,053 | BUG: fix Index's __iadd__ methods | {
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"followers_url": "https://api.github.com/users/wesm... | 10 | 2013-09-30T03:13:38Z | 2014-07-07T01:51:22Z | 2013-10-02T21:17:01Z | CONTRIBUTOR | null | closes #4996
Aliases **iadd** = **add**.
Not doing anything else for now until time to consider.
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https://api.github.com/repos/pandas-dev/pandas/issues/5054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5054/events | https://github.com/pandas-dev/pandas/issues/5054 | 20,252,043 | MDU6SXNzdWUyMDI1MjA0Mw== | 5,054 | pip install pandas fails (mac osx) | {
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---
/Users/hernan/Envs/pandas/bin/pip run on Mon Sep 30 11:28:28 2013
Downloading/unpacking pandas
Running setup.py egg_info for package pandas
```
Running from numpy source director... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5055/events | https://github.com/pandas-dev/pandas/issues/5055 | 20,253,229 | MDU6SXNzdWUyMDI1MzIyOQ== | 5,055 | read_csv with usecols and implicit index columns | {
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When specifying usecols with read_csv it seems impossible to use an implicit (no header) index column
Example:
``` python
>>> data = 'a,b,c\n4,apple,bat,5.7\n8,orange,cow,10'
>>> pd.read_csv(StringIO(data))
a b c
4 apple bat 5.7
8 orange cow 10.0
>>> pd.read_csv(StringIO(data), use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5056/events | https://github.com/pandas-dev/pandas/issues/5056 | 20,256,203 | MDU6SXNzdWUyMDI1NjIwMw== | 5,056 | read_fwf colspecs autodetection could be more flexible | {
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"f... | 24 | 2013-09-30T11:22:25Z | 2020-04-05T01:23:01Z | null | NONE | null | See https://github.com/pydata/pandas/pull/4955#issuecomment-25352643
```
id foo
1 a
1 a
1 a
123a
```
This works with the snippet in the orig #4488 but fails with the merged #4955 due to the last line.
It's a common example of a fwf file.
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https://api.github.com/repos/pandas-dev/pandas/issues/5057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5057/events | https://github.com/pandas-dev/pandas/pull/5057 | 20,266,798 | MDExOlB1bGxSZXF1ZXN0ODcwNjgzOA== | 5,057 | DOC: proposed fix for #4699: Period() docstring inconsistent with code when freq has a mult != 1 | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-09-30T14:42:25Z | 2014-06-25T16:32:09Z | 2013-10-04T12:50:04Z | CONTRIBUTOR | null | closes #4699
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https://api.github.com/repos/pandas-dev/pandas/issues/5058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5058/events | https://github.com/pandas-dev/pandas/pull/5058 | 20,273,659 | MDExOlB1bGxSZXF1ZXN0ODcxMDMwMA== | 5,058 | TST: allow to check for specific xlrd version and skip reader test if xlrd < 0.9 | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-09-30T16:17:57Z | 2014-06-28T20:27:27Z | 2013-10-02T23:08:16Z | CONTRIBUTOR | null | See http://nipy.bic.berkeley.edu/builders/pandas-py2.x-wheezy-sparc/builds/148/steps/shell_4/logs/stdio for failure when outdated xlrd found (e.g. on debian stable wheezy)
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https://api.github.com/repos/pandas-dev/pandas/issues/5059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5059/events | https://github.com/pandas-dev/pandas/pull/5059 | 20,273,921 | MDExOlB1bGxSZXF1ZXN0ODcxMDQ0Ng== | 5,059 | BF: import isnull | {
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see http://nipy.bic.berkeley.edu/builders/pandas-py2.x-wheezy-sparc/builds/148/steps/shell_4/logs/stdio for the failure
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https://api.github.com/repos/pandas-dev/pandas/issues/5060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5060/events | https://github.com/pandas-dev/pandas/pull/5060 | 20,281,974 | MDExOlB1bGxSZXF1ZXN0ODcxNDc3OQ== | 5,060 | VIS: let scatter plots obey mpl color scheme (#3338) | {
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Fixes the remaining plot functions that don't follow the matplotlib style (functions based on scatter plots).
Rationale:
- set the color keyword `c` to default one defined in matplotlibs rcParams if `c` was not specified by the user (because `c='b'` is harcoded in matplotlib `scatter` method).
- the `co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5061/events | https://github.com/pandas-dev/pandas/issues/5061 | 20,284,259 | MDU6SXNzdWUyMDI4NDI1OQ== | 5,061 | Comparing two Data sets | {
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I can used this method in Access through creating a Query but need to do so in Pandas. I imported two csv files and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5062/events | https://github.com/pandas-dev/pandas/issues/5062 | 20,290,619 | MDU6SXNzdWUyMDI5MDYxOQ== | 5,062 | df.apply(...): better error messages in case of NaN | {
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... | 17 | 2013-09-30T20:31:42Z | 2020-04-30T05:37:39Z | null | CONTRIBUTOR | null | I had to debug a problem which was caused by a NaN in a string column:
``` python
cit = citations[1655:1660][["names"]]
print cit
names
1655 A;B
1656 NaN
1657 C;D
1658 E;F
1659 G;H
s = cit.apply(lambda x: pandas.Series(x.split(';'))).stack()
[...]
C:\port... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5063/events | https://github.com/pandas-dev/pandas/pull/5063 | 20,294,315 | MDExOlB1bGxSZXF1ZXN0ODcyMDc0Ng== | 5,063 | Issue 1014 Possibly attempt object -> float64 coercion in to_sparse | {
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I've added a check for dtype=object and try to coerce it to a float in frame.to_sparse
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https://api.github.com/repos/pandas-dev/pandas/issues/5064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5064/events | https://github.com/pandas-dev/pandas/pull/5064 | 20,298,636 | MDExOlB1bGxSZXF1ZXN0ODcyMzMwMw== | 5,064 | BUG: Bug in setting with ix/loc and a mixed int/string index (GH4544) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5065 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5065/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5065/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5065/events | https://github.com/pandas-dev/pandas/issues/5065 | 20,303,899 | MDU6SXNzdWUyMDMwMzg5OQ== | 5,065 | Test incorrect for csv import | {
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The DataFrame returned has only 1 column:
```
In [5]: df
Out[5]:
E
one two three four
a b 10.0032 5 0.3640
q 20.0000 4 0.1744
x ... | {
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pd.read_html("http://www.camacau.com/changeLang?lang=en_US&url=/statistic_list",infer_types=False,header=0,index_col=0)
```
yields:
```
Traceback (most recent call last)
<ipython-input-114-a13f8ac8a77b> in <module>()
----> 1 foo2 = pd.read_html("http://www.camacau.com/changeLang?lang=en_US&url=/statistic_list",in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5067/events | https://github.com/pandas-dev/pandas/pull/5067 | 20,307,391 | MDExOlB1bGxSZXF1ZXN0ODcyODEyMA== | 5,067 | CLN: remove unreachable code in tslib.pyx | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5068/events | https://github.com/pandas-dev/pandas/issues/5068 | 20,316,864 | MDU6SXNzdWUyMDMxNjg2NA== | 5,068 | API reference for Series.str, DataFrame.{iloc|loc}? | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-10-01T07:58:56Z | 2013-10-15T18:42:58Z | 2013-10-15T18:42:58Z | CONTRIBUTOR | null | I tried to find the API reference for the methods of `Series.str`, but they are not linked from http://pandas.pydata.org/pandas-docs/dev/api.html
It seems "new" thingies like `df.iloc` or `df.loc` are also not linked from there (`DataFrame.ix` is!)
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https://api.github.com/repos/pandas-dev/pandas/issues/5069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5069/events | https://github.com/pandas-dev/pandas/issues/5069 | 20,336,462 | MDU6SXNzdWUyMDMzNjQ2Mg== | 5,069 | PERF: low-hanging fruit in pd.merge() code | {
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"labels_url": "htt... | 1 | 2013-10-01T14:50:59Z | 2014-01-24T15:17:25Z | 2014-01-24T15:17:25Z | NONE | null | I recently had a look at this code and spotted some potential improvements to be made.
1. When the user specifies `sort=False` (the default), the code
still performs an interim sort on the keys (the arg isn't passed down), That
can be probably be omitted without harm.
This is fairly trivial to do, just require... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5070/events | https://github.com/pandas-dev/pandas/pull/5070 | 20,344,485 | MDExOlB1bGxSZXF1ZXN0ODc0NTY5Mg== | 5,070 | API: default export for to_clipboard is now csv/tsv suitable for excel (GH3368) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5071/events | https://github.com/pandas-dev/pandas/issues/5071 | 20,347,186 | MDU6SXNzdWUyMDM0NzE4Ng== | 5,071 | ENH/API: rolling_apply to pass frames to the rolled function (rather than ndarrays) | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2013-10-01T17:32:57Z | 2018-04-16T14:54:19Z | 2018-04-16T14:54:04Z | CONTRIBUTOR | null | Returning a Series: http://stackoverflow.com/questions/19121854/using-rolling-apply-on-a-dataframe-object
Returning a Scalar: http://stackoverflow.com/questions/21040766/python-pandas-rolling-apply-two-column-input-into-function/21045831#21045831
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https://api.github.com/repos/pandas-dev/pandas/issues/5072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5072/events | https://github.com/pandas-dev/pandas/pull/5072 | 20,357,897 | MDExOlB1bGxSZXF1ZXN0ODc1MzQxMA== | 5,072 | CI/ENH: use nose-show-skipped plugin to show skipped tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5073/events | https://github.com/pandas-dev/pandas/pull/5073 | 20,358,183 | MDExOlB1bGxSZXF1ZXN0ODc1MzU3NA== | 5,073 | TST/CI: make sure that locales are tested | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5074/events | https://github.com/pandas-dev/pandas/issues/5074 | 20,360,279 | MDU6SXNzdWUyMDM2MDI3OQ== | 5,074 | MultiIndex.get_level_values() replaces NA by another value | {
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```
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: index = pd.MultiIndex.from_arrays([
['a', 'b', 'b'],
[1, np.nan, 2]
])
In [4]: index.get_level_values(1)
Out[4]: Float64Index([1.0, 2.0, 2.0], dtype=object)
```
The expected output is
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https://api.github.com/repos/pandas-dev/pandas/issues/5075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5075/events | https://github.com/pandas-dev/pandas/issues/5075 | 20,365,536 | MDU6SXNzdWUyMDM2NTUzNg== | 5,075 | API: Series.str.match == extract? | {
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```
In [1]: Series(['a1', 'b2', '3']).str.match('(?P<letter>[ab])?(?P<digit>\d)')
Out[1]:
0 (a, 1)
1 (b, 2)
2 (None, 3)
dtype: object
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5076/events | https://github.com/pandas-dev/pandas/issues/5076 | 20,367,510 | MDU6SXNzdWUyMDM2NzUxMA== | 5,076 | Remove internal classes from MultiIndex and Index pickles. | {
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"followers_url": "https://api.github.com/users/wesm... | 0 | 2013-10-02T00:15:10Z | 2013-10-02T23:36:29Z | 2013-10-02T23:36:29Z | CONTRIBUTOR | null | I added a FrozenNDArray and FrozenList class for MultiIndex internals for 0.13. They shouldn't end up in pickles, so we don't need to support them. Trivial fix but needs to happen before 0.13 is released.
Current less than optimal behavior:
```
In [2]: mi = MultiIndex.from_tuples(zip(range(10), range(10)))
In [3]: m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5077/events | https://github.com/pandas-dev/pandas/pull/5077 | 20,368,439 | MDExOlB1bGxSZXF1ZXN0ODc1OTU2MA== | 5,077 | BUG: Make Index, Int64Index and MI repr evalable | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-10-02T00:43:52Z | 2014-09-02T13:21:29Z | 2013-10-12T17:21:01Z | CONTRIBUTOR | null | MI repr was missing a comma between its arguments and Index reprs needed
to quote their dtypes.
Only talking about Index, Int64Index and
MultiIndex. Tseries indices (like PeriodIndex and DatetimeIndex) are
more complicated and could be covered separately.
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https://api.github.com/repos/pandas-dev/pandas/issues/5078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5078/events | https://github.com/pandas-dev/pandas/issues/5078 | 20,368,511 | MDU6SXNzdWUyMDM2ODUxMQ== | 5,078 | Sparse data frame doesn't groupby.mean() correctly | {
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... | 2 | 2013-10-02T00:46:58Z | 2019-09-18T14:02:17Z | 2019-09-18T14:02:17Z | NONE | null | ``` python
>>>import pandas as pd
>>> pd.__version__
'0.12.0-660-gec77315'
>>> import numpy as np
>>> np.version.version
'1.7.1'
>>> df = pd.DataFrame({'a': [0, 1, 0, 0], 'b': [0, 1, 0, 0]})
>>> sdf = df.to_sparse(fill_value=0)
>>> df.groupby('a').mean()
b
a
0 0
1 1
>>> sdf.groupby('a').mean()
b
a ... | {
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"followers_url": "https://api.github.com/users/... | 1 | 2013-10-02T01:21:00Z | 2014-08-05T12:07:55Z | 2013-10-02T01:30:08Z | CONTRIBUTOR | null | Treats it like 2d array rather than array of tuples. I like it because
it's more informative - but we could also just describe `.values`.
Fixes #4842.
Still working out some kinks.
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https://api.github.com/repos/pandas-dev/pandas/issues/5080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5080/events | https://github.com/pandas-dev/pandas/issues/5080 | 20,370,372 | MDU6SXNzdWUyMDM3MDM3Mg== | 5,080 | CLN: MultiIndex and Index no longer inherit from ndarray. | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2013-10-02T01:55:43Z | 2014-08-07T11:34:54Z | 2014-08-07T11:34:54Z | CONTRIBUTOR | null | Changing to not be an ndarray subclass should make a number of things simpler (especially the API unification discussed in #3268). Plus, it will clarify the required interface for an Index object. It avoids all the workarounds to make Index immutable (instead, will define `__array__` and `__array_wrap__` and choose whi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5081/events | https://github.com/pandas-dev/pandas/pull/5081 | 20,370,972 | MDExOlB1bGxSZXF1ZXN0ODc2MDg2Ng== | 5,081 | CLN: Fix order of index methods. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5082/events | https://github.com/pandas-dev/pandas/issues/5082 | 20,373,285 | MDU6SXNzdWUyMDM3MzI4NQ== | 5,082 | DatetimeIndex::inferred_freq is misleading | {
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... | 53 | 2013-10-02T04:04:18Z | 2021-04-11T03:34:29Z | null | CONTRIBUTOR | null | Looking at these three methods on DatetimeIndex:
``` python
# alias to offset
@property
def freq(self):
return self.offset
@cache_readonly
def inferred_freq(self):
try:
return infer_freq(self)
except ValueError:
return None
@property
def fre... | {
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] | closed | false | null | [] | null | 2 | 2013-10-02T11:27:34Z | 2013-10-02T11:31:50Z | 2013-10-02T11:31:50Z | NONE | null | related https://github.com/pydata/pandas/issues/3368
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https://api.github.com/repos/pandas-dev/pandas/issues/5084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5084/events | https://github.com/pandas-dev/pandas/pull/5084 | 20,389,670 | MDExOlB1bGxSZXF1ZXN0ODc3MDM4Mg== | 5,084 | CLN: Remove internal classes from MultiIndex pickle. | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-10-02T12:01:23Z | 2014-06-25T18:39:41Z | 2013-10-02T23:36:29Z | CONTRIBUTOR | null | FrozenNDArray had made it into the MI pickle. No reason to do that and just
complicates pickle compat going forward. Now they just output ndarray
instead (which also avoids the unnecessary nested pickle previously
occurring).
Fixes #5076.
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https://api.github.com/repos/pandas-dev/pandas/issues/5085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5085/events | https://github.com/pandas-dev/pandas/issues/5085 | 20,395,306 | MDU6SXNzdWUyMDM5NTMwNg== | 5,085 | polar plot showing only points (and no lines) | {
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fig = plt.figure()
ax = fig.add_axes([0.0, 0.0, 1., 1.], polar=True)
ax.plot(temp.direction, temp.force, color='blue', lw = 0, style = 'o');
How can I tell chaco to just draw the points and no lines between the points
thanks Mathias
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https://api.github.com/repos/pandas-dev/pandas/issues/5086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5086/events | https://github.com/pandas-dev/pandas/pull/5086 | 20,396,484 | MDExOlB1bGxSZXF1ZXN0ODc3NDE0OQ== | 5,086 | DOC: CONTRIBUTING.md: Gold plating: syntax, punctuation, Markdown format... | {
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:sparkles:
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https://api.github.com/repos/pandas-dev/pandas/issues/5087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5087/events | https://github.com/pandas-dev/pandas/issues/5087 | 20,403,029 | MDU6SXNzdWUyMDQwMzAyOQ== | 5,087 | query fails with local variables in expressions | {
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"description": "2014-02-3: previous version released",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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"labels_url": "htt... | 1 | 2013-10-02T15:49:19Z | 2014-02-20T14:24:06Z | 2014-02-20T14:24:06Z | MEMBER | null | Proper message for overlapping locals/frame (tested):
```
In [28]: a = Series(randint(3, size=5), name='a')
In [29]: b = Series(randint(10, size=5), name='b')
In [30]: df = DataFrame({'a': a, 'b': b})
In [31]: df.query('b - 1 in a')
NameResolutionError: resolvers and locals overlap on names ['b']
```
Expression wo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5088/events | https://github.com/pandas-dev/pandas/pull/5088 | 20,404,925 | MDExOlB1bGxSZXF1ZXN0ODc3ODg5OQ== | 5,088 | BUG: fixed a bug in multi-level indexing with a Timestamp partial indexer (GH4294) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5089/events | https://github.com/pandas-dev/pandas/pull/5089 | 20,407,050 | MDExOlB1bGxSZXF1ZXN0ODc4MDA5Nw== | 5,089 | TST: Tests for multi-index construction of an all-nan frame (GH4078) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5090/events | https://github.com/pandas-dev/pandas/pull/5090 | 20,424,183 | MDExOlB1bGxSZXF1ZXN0ODc5MDA4Mg== | 5,090 | BUG: MultiIndex.get_level_values() replaces NA by another value (#5074) | {
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Do you really prefer using a mask? It seems to have a lower memory footprint but it requires some tricks for corner cases.
```
num = self._get_level_number(level)
unique_vals = self.levels[num] # .values
labels = self.labels[num]
mask = labels == -1
if len(unique_vals) > 0:
values = unique_vals.take... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5091/events | https://github.com/pandas-dev/pandas/issues/5091 | 20,426,508 | MDU6SXNzdWUyMDQyNjUwOA== | 5,091 | Missing Periods for some DateOffsets | {
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"id": ... | open | false | null | [] | {
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... | 1 | 2013-10-02T22:28:23Z | 2021-04-11T03:36:47Z | null | CONTRIBUTOR | null | There are not corresponding `Period`s for many `DateOffsets`.
For example see how the freq changes:
``` python
ts = pd.date_range('1/1/2012', periods=4, freq=pd.offsets.BQuarterEnd())
per = ts.to_period()
ts_per = per.to_timestamp()
In [210]: ts
Out[210]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-03-30 00:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5092/events | https://github.com/pandas-dev/pandas/issues/5092 | 20,430,315 | MDU6SXNzdWUyMDQzMDMxNQ== | 5,092 | axvspan() sometimes breaks when using matplotlib wrappers | {
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I was trying to highlight some data in a DataFrame using the `axvspan` method from matplotlib and I ran into some ill behavior. Here's a minimal example:
```
import numpy as np
import pandas as pd
import matplotlib.dates as mdates
from pylab import *
ion()
dates = pd.date_range(start="10/01/2013", end="10/04/2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5093/events | https://github.com/pandas-dev/pandas/issues/5093 | 20,431,621 | MDU6SXNzdWUyMDQzMTYyMQ== | 5,093 | Confusing behavior with assignment using .iloc and __getitem__ on a DataFrame | {
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``` python
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: columns = list('abcdefg')
In [4]: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5095/events | https://github.com/pandas-dev/pandas/pull/5095 | 20,435,384 | MDExOlB1bGxSZXF1ZXN0ODc5NjM5NA== | 5,095 | TST: Add skip test to excelwriter contextmanager | {
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...which was apparently fixed by #4657. More tests looking for shape-related bugs in filter would be nice. So far I have no discovered any.
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closes #4960
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see http://stackoverflow.com/questions/11687478/convert-a-filename-to-a-file-url
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