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https://api.github.com/repos/pandas-dev/pandas/issues/6301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6301/events | https://github.com/pandas-dev/pandas/pull/6301 | 27,188,158 | MDExOlB1bGxSZXF1ZXN0MTIzMzc3NTY= | 6,301 | ENH: per axis and per level indexing (orig GH6134) | {
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"closed_at": "2014-05-30T12:17:57Z",
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"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 15 | 2014-02-08T02:00:53Z | 2014-06-16T19:17:40Z | 2014-02-13T23:12:32Z | CONTRIBUTOR | null | This is a reprise of #6134, with tests, and multi-axis support; it is dependent on #6299
closes #4036
closes #4116
closes #3057
closes #2598
closes #5641
closes #3738
- [x] docs
- [x] v0.14.0 example
- [x] release notes
- [x] setting #5641, #3738
This is the whatsnew/docs
MultiIndexing Using Slicers
In 0.14.0 we a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6302/events | https://github.com/pandas-dev/pandas/pull/6302 | 27,196,214 | MDExOlB1bGxSZXF1ZXN0MTIzNDAxMTQ= | 6,302 | DOC: clarified to_excel and read_excel (GH6260) | {
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- io.rst: added a paragraph explaining the difference in behaviour from 0.12
- excel.py: added docstring for has_index_names
thanks to jmcnamara
ps: sorry about the pollution with multiple commits, I'm still learning how to rebase/squash
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https://api.github.com/repos/pandas-dev/pandas/issues/6303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6303/events | https://github.com/pandas-dev/pandas/issues/6303 | 27,196,860 | MDU6SXNzdWUyNzE5Njg2MA== | 6,303 | error with groupby and transform while using datetime64[ns] as part of a key | {
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... | closed | false | null | [] | null | 2 | 2014-02-08T09:01:50Z | 2014-02-08T15:09:17Z | 2014-02-08T15:08:23Z | NONE | null | from pandas.util.testing import choice
from pandas import DataFrame, date_range
from numpy.random import randn
n = 8
dates = date_range('1/1/2000', periods=n, freq='1T')
colors = choice(['red', 'green'], size=n)
df = DataFrame({'value': randn(n), 'date': dates, 'color': colors})
zscore = lambda x: (x - x.mean()) / x... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6304/events | https://github.com/pandas-dev/pandas/pull/6304 | 27,196,973 | MDExOlB1bGxSZXF1ZXN0MTIzNDA0NjY= | 6,304 | Add example section to groupby.rst and one example | {
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I opened an "Examples" section in the doc of `groupby()` and add an example about how a way to regroup columns of a DataF... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6305/events | https://github.com/pandas-dev/pandas/issues/6305 | 27,203,418 | MDU6SXNzdWUyNzIwMzQxOA== | 6,305 | Add pd.read_bin() to read data of binary file to dataframe. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6306/events | https://github.com/pandas-dev/pandas/issues/6306 | 27,204,919 | MDU6SXNzdWUyNzIwNDkxOQ== | 6,306 | ENH: Allow subplots axes to be passed into DataFrame.plot() | {
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] | closed | false | null | [] | null | 4 | 2014-02-08T17:50:12Z | 2014-05-16T17:55:28Z | 2014-05-16T17:55:23Z | NONE | null | This works nicely:
```
Python 2.7.5+ (default, Sep 19 2013, 13:48:49)
Type "copyright", "credits" or "license" for more information.
IPython 1.1.0 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
obje... | {
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... | 7 | 2014-02-08T20:12:48Z | 2017-12-19T23:04:26Z | 2017-12-19T23:04:26Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/21643407/define-a-pandas-tseries-index-datetimeindex-using-2-datetimes-dt-start-and-dt-s/21651263#21651263
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https://api.github.com/repos/pandas-dev/pandas/issues/6308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6308/events | https://github.com/pandas-dev/pandas/pull/6308 | 27,211,136 | MDExOlB1bGxSZXF1ZXN0MTIzNDYyNzM= | 6,308 | CLN: Convert last of assert_(x == y) to assertEqual | {
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] | closed | false | null | [] | null | 3 | 2014-02-08T23:02:55Z | 2014-06-17T12:11:47Z | 2014-02-12T00:40:52Z | CONTRIBUTOR | null | Work on #6175. Fixes last of vanilla assert_(x == y) conversions in pandas/tests and pandas/*/tests. Tests still pass locally.
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https://api.github.com/repos/pandas-dev/pandas/issues/6309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6309/events | https://github.com/pandas-dev/pandas/issues/6309 | 27,217,286 | MDU6SXNzdWUyNzIxNzI4Ng== | 6,309 | BUG: str.extract alignment problem on i/o dataframes. | {
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Not sure if this is fixed in the latest build but I had a similar problem as the one described in the Stackoverflow when I upgraded to the latest stable version of `pandas`
Seem like it shi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6310/events | https://github.com/pandas-dev/pandas/issues/6310 | 27,220,369 | MDU6SXNzdWUyNzIyMDM2OQ== | 6,310 | Pandas website need to be fixed | {
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After visiting
https://www.google.fr/search?q=python+pandas+timeseries
I get the following url
http://pandas.pydata.org/pandas-docs/dev/timeseries.html
Is it really a good idea to point to dev version of pandas-doc ?
(maybe a link to stable version should be present on top of this webpage)
http://pandas.pydat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6311/events | https://github.com/pandas-dev/pandas/issues/6311 | 27,221,032 | MDU6SXNzdWUyNzIyMTAzMg== | 6,311 | Travis caching requires new iron.io credentials | {
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] | closed | false | null | [] | null | 4 | 2014-02-09T11:22:15Z | 2014-02-09T15:02:00Z | 2014-02-09T15:02:00Z | NONE | null | You need to setup a new iron.io account (they have a free tier)
and setup the appropriate IRON_TOKEN and IRON_PROJECT_ID secure
envars in `.travis.yml` for ci/prep_ccache and ci/submit_ccache to work.
The changes need to be made [here](https://github.com/pydata/pandas/blob/master/.travis.yml#L8), encrypted (using the t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6312/events | https://github.com/pandas-dev/pandas/issues/6312 | 27,224,639 | MDU6SXNzdWUyNzIyNDYzOQ== | 6,312 | ENH: allow 'size' in groupby aggregation | {
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"followers_url": "https://api.github.com/users/jorisva... | 9 | 2014-02-09T15:44:29Z | 2016-11-11T12:55:24Z | 2016-11-11T12:45:53Z | CONTRIBUTOR | null | Allow to use `'size'` in groupby's aggregate, so you can do:
```
df.groupby(..).agg('size')
df.groupny(..).agg(['mean', 'size'])
```
---
http://stackoverflow.com/questions/21660686/pandas-groupby-straight-forward-counting-the-number-of-elements-in-each-group-i
- ~~`count` should directly implement `size` ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6313/events | https://github.com/pandas-dev/pandas/pull/6313 | 27,234,591 | MDExOlB1bGxSZXF1ZXN0MTIzNTU0NzE= | 6,313 | FIX: hdfstore queries of the form where=[('date', '>=', datetime(2013,1,... | {
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FIX: hdfstore queries of the form where=[('date', '>=', datetime(2013,1,1)), ('date', '<=', datetime(2014,1,1))] were broken
- modified Expr.parse_back_compat to check for tuples, in w, and unpack into w, op, value
- modified Expr.__init__ to modify the where list/tuple with the parsed result
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6314/events | https://github.com/pandas-dev/pandas/issues/6314 | 27,239,906 | MDU6SXNzdWUyNzIzOTkwNg== | 6,314 | sort_index does not work with ascending= | {
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> > > t=pd.DataFrame({'A':['x','y','z']})
> > > t.sort(['A'], ascending=[True])
> > > A
> > > 0 x
> > > 1 y
> > > 2 z
> > > t.sort(['A'], ascending=[False])
> > > A
> > > 0 x
> > > 1 y
> > > 2 z
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https://api.github.com/repos/pandas-dev/pandas/issues/6315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6315/events | https://github.com/pandas-dev/pandas/pull/6315 | 27,241,895 | MDExOlB1bGxSZXF1ZXN0MTIzNTg5NDE= | 6,315 | BUG: #6175 Got rid of assert_ statements in test_algos.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6316/events | https://github.com/pandas-dev/pandas/pull/6316 | 27,264,332 | MDExOlB1bGxSZXF1ZXN0MTIzNzA2NTc= | 6,316 | TEST: add basic postgresql tests | {
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@jreback I now added it to requirements-2.7.txt. Should I add it to all test environments? Or if only one, is this... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6317/events | https://github.com/pandas-dev/pandas/issues/6317 | 27,283,911 | MDU6SXNzdWUyNzI4MzkxMQ== | 6,317 | TestClipboard test failure on osx-64 | {
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```
======================================================================
ERROR: test_round_trip_frame (pandas.io.tests.test_clipboard.TestClipboard)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/vagrant/src/master-env/lib... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6319/events | https://github.com/pandas-dev/pandas/issues/6319 | 27,303,661 | MDU6SXNzdWUyNzMwMzY2MQ== | 6,319 | KeyError for crosstab on Series with same name. | {
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"followers_url": "https://api.github.com/users/j... | 17 | 2014-02-10T21:52:04Z | 2018-07-06T15:07:35Z | 2018-01-01T00:44:04Z | CONTRIBUTOR | null | Doing a crosstab on two Series with the same name throws an error. This is due to a dictionary (indexed by the series name) in the crosstab function being used to store the data. Not sure if this is a feature or a bug, but a default similar to the behavior when Series without name are compared would be desirable to m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6320/events | https://github.com/pandas-dev/pandas/issues/6320 | 27,318,789 | MDU6SXNzdWUyNzMxODc4OQ== | 6,320 | s390x (big endian, 64bit) + python 3.3.4 make pandas very unhappy | {
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"gists_url": "... | [] | closed | false | null | [] | null | 6 | 2014-02-11T01:25:42Z | 2014-05-16T17:46:16Z | 2014-05-16T17:46:16Z | CONTRIBUTOR | null | http://www.onerussian.com/tmp/build-pandas-0.13.1-s390x.log
```
FAILED (SKIP=350, errors=87, failures=47)
```
Just FYI and may be anything there hints you on some possible issues
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https://api.github.com/repos/pandas-dev/pandas/issues/6321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6321/events | https://github.com/pandas-dev/pandas/pull/6321 | 27,320,256 | MDExOlB1bGxSZXF1ZXN0MTI0MDAzNzM= | 6,321 | BUG: #6175 removed assert_ statements | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6322/events | https://github.com/pandas-dev/pandas/issues/6322 | 27,353,733 | MDU6SXNzdWUyNzM1MzczMw== | 6,322 | BUG: reset_index with NaN in MultiIndex | {
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https://github.com/jreback/pandas/commit/625ee94a31e4011b677785f12dfd204591cadfcf
When one level in the MultiIndex is all NaN, line 2819 in DataFrame.reset_index() and subfunction _maybe_cast, will have a problem, because values is empty.
2819: values = values.take(labels)
I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6323/events | https://github.com/pandas-dev/pandas/issues/6323 | 27,360,119 | MDU6SXNzdWUyNzM2MDExOQ== | 6,323 | ENH table metadata parameter that is copied with table operations | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6324/events | https://github.com/pandas-dev/pandas/issues/6324 | 27,373,135 | MDU6SXNzdWUyNzM3MzEzNQ== | 6,324 | build failure of master on windows | {
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] | closed | false | null | [] | null | 16 | 2014-02-11T18:25:59Z | 2017-11-25T15:36:03Z | 2014-02-12T00:43:37Z | CONTRIBUTOR | null | the nightly windows builds don't appear to be produced anymore since mid january, and as we need some fixes in master i tried to build amd64 seems to work fine, but that's using windows SDK 7.0, when using VS 2008 Express or mingw I get different problems:
```
c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6325/events | https://github.com/pandas-dev/pandas/issues/6325 | 27,391,153 | MDU6SXNzdWUyNzM5MTE1Mw== | 6,325 | BUG: pandas.io.sql.frame_query truncates column aliases (col names too?) | {
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Code: Depending on the DB configuration...
``` python
>>> ... | {
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"default": false,
"description": "Timezone data dtype",
... | closed | false | null | [] | {
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"f... | 7 | 2014-02-12T11:02:53Z | 2019-01-08T00:27:58Z | 2019-01-08T00:27:58Z | NONE | null | Hi. Not sure if it is a bug, or something which needs to be clarified.
Consider the code
```
s = pd.Series(np.arange(0,5), index=pd.date_range('20131027', periods=5, freq='1H', tz='Europe/Berlin'))
s.tz_convert("UTC", copy=False)
```
`s` index is still the same as before. If i do the same for frames.
```
d = pd.D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6327/events | https://github.com/pandas-dev/pandas/issues/6327 | 27,430,346 | MDU6SXNzdWUyNzQzMDM0Ng== | 6,327 | BUG: DataFrame.to_stata() uses wrong struct formats and crashes in int64 | {
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"labels_url": "htt... | 7 | 2014-02-12T12:41:01Z | 2014-03-05T01:12:44Z | 2014-03-05T01:12:44Z | CONTRIBUTOR | null | The relevant code is
``` python
self.DTYPE_MAP = \
dict(
lzip(range(1, 245), ['a' + str(i) for i in range(1, 245)]) +
[
(251, np.int16),
(252, np.int32),
(253, np.int64),
(254, np.float32),
(255, np.float64)
]
)
```
and
``` p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6328/events | https://github.com/pandas-dev/pandas/issues/6328 | 27,430,670 | MDU6SXNzdWUyNzQzMDY3MA== | 6,328 | ENH: fastpath indexer API proposal (draft) | {
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"color": "a1... | closed | false | null | [] | null | 7 | 2014-02-12T12:46:34Z | 2015-10-20T22:29:13Z | 2015-10-20T22:29:13Z | CONTRIBUTOR | null | The discussion in #6134 has inspired an idea that I'm writing down for
discussion. The idea is pretty obvious so it should've been considered before,
but I still think pandas as it is right now can benefit from it.
My main complaint about pandas when using it in non-interactive way is that
lookups are significantly sl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6329/events | https://github.com/pandas-dev/pandas/issues/6329 | 27,430,951 | MDU6SXNzdWUyNzQzMDk1MQ== | 6,329 | Memory Performance Regression in 0.13+ | {
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"labels_url": "htt... | 4 | 2014-02-12T12:51:45Z | 2014-02-12T21:41:08Z | 2014-02-12T21:41:08Z | CONTRIBUTOR | null | The following snippit runs fine in pandas 0.12 on a machine with 8GB of RAM but throws a `MemoryError` on a machine with 16GB of RAM when using pandas 0.13
``` python
date_index = pd.date_range('01-Jan-2012', '23-Jan-2013', freq='T')
daily_dates = date_index.to_period('D').to_timestamp('S','S')
fracofday = date_index.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6330/events | https://github.com/pandas-dev/pandas/pull/6330 | 27,437,413 | MDExOlB1bGxSZXF1ZXN0MTI0NjQ1MTI= | 6,330 | BUG: Regression in join of non_unique_indexes (GH6329) | {
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"labels_url": "htt... | 0 | 2014-02-12T14:35:03Z | 2014-07-02T15:55:41Z | 2014-02-12T21:41:08Z | CONTRIBUTOR | null | closes #6329
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For example, df.to_csv(str_file,n_parts=3)
And then we get:
myfile.part1.csv
myfile.part2.csv
myfile.part3.csv
And then the csv readinf should ask which parts one wants to load.
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by definition they don't have missing values
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```
'dense':
Like 'min', but the rank of the next highest element is assigned
the rank immediately after t... | {
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... | 6 | 2014-02-12T18:27:25Z | 2019-07-23T05:20:05Z | 2019-07-23T05:20:04Z | CONTRIBUTOR | null | Using:
```
from cStringIO import StringIO
df1 = pd.read_csv(StringIO("""s,date,v\nQ,2013-11-21 00:00:00,1\nQ,2013-11-22 00:00:00,2\nQ,2013-11-22 00:00:00,3"""),
index_col=[0,1])
df2 = pd.read_csv(StringIO("""s,date,v\nQ,2013-11-21 00:00:00,1\nQ,2013-11-22 00:00:00,2\nQ,2013-11-23 00:00:00,3"""),
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Added test for this case.
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https://api.github.com/repos/pandas-dev/pandas/issues/6340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6340/events | https://github.com/pandas-dev/pandas/issues/6340 | 27,506,327 | MDU6SXNzdWUyNzUwNjMyNw== | 6,340 | BLD: test with an older version of sql alchemy | {
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"id": 47232590,
"name": "IO SQL",
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-02-13T10:02:52Z | 2014-06-14T13:15:12Z | 2014-06-14T13:15:12Z | CONTRIBUTOR | null | should be simple to lower the bar to an older version
change recommended min version on install page as well
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https://api.github.com/repos/pandas-dev/pandas/issues/6341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6341/events | https://github.com/pandas-dev/pandas/pull/6341 | 27,519,504 | MDExOlB1bGxSZXF1ZXN0MTI1MTAyNzg= | 6,341 | PERF: pd.Index.is_all_dates doesn't require full-scan inference | {
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"labels_url": "htt... | 11 | 2014-02-13T13:59:25Z | 2014-06-12T11:41:49Z | 2014-02-14T12:01:37Z | CONTRIBUTOR | null | While working on #6328 I've stumbled upon this piece that deserves optimization.
Current implementation `Index.is_all_dates` invokes `lib.infer_dtype` which does a full-scan dtype inference which is not not always necessary. If I read cython sources correctly, new code is equivalent to the old one and the performance ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6342 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6342/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6342/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6342/events | https://github.com/pandas-dev/pandas/issues/6342 | 27,524,844 | MDU6SXNzdWUyNzUyNDg0NA== | 6,342 | DataFrame.replace() doesn't work correctly when passing a nested dict | {
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"labels_url": "htt... | 3 | 2014-02-13T15:15:44Z | 2016-10-12T23:04:38Z | 2014-02-16T21:08:52Z | NONE | null | ```
In [47]: import pandas as pd
In [48]: df = pd.DataFrame({'col': [1,2,3,4]})
In [49]: df.replace({'col': {1: 'a', 4: 'b'}})
Out[49]:
col
0 a
1 2
2 3
3 b
In [50]: df.replace({'col': {-1: '-', 1: 'a', 4: 'b'}})
Out[50]:
col
0 a
1 2
2 3
3 a
^^^^ Value 4 must be mapped to "b" instead of "a"
In ... | {
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"labels_url": "htt... | 4 | 2014-02-13T18:15:00Z | 2014-07-11T12:27:44Z | 2014-02-14T06:36:23Z | CONTRIBUTOR | null | This adds a `method='dense'` option to `rank` which does the same thing as the one in `scipy.stats.rankdata`: the first ranked group gets 1, the second 2, etc. Basically it ports the approach used in `scipy.stats._rankdata_fused` to the pandas rankdata implementation.
It also adds a few tests that the various methods... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6344 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6344/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6344/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6344/events | https://github.com/pandas-dev/pandas/issues/6344 | 27,555,399 | MDU6SXNzdWUyNzU1NTM5OQ== | 6,344 | fillna with datetime and value=dictlike not working on v0.13.1 | {
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"labels_url": "htt... | 4 | 2014-02-13T21:48:33Z | 2014-04-06T18:16:27Z | 2014-04-06T18:16:27Z | CONTRIBUTOR | null | I believe that this worked on v0.13:
```
df = pd.DataFrame({
'Date':[pd.NaT, pd.Timestamp("2014-1-1")],
'Date2':[ pd.Timestamp("2013-1-1"),pd.NaT]
})
In [8]: df.fillna(value={'Date':df['Date2']})
---------------------------------------------------------------------------
Val... | {
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"labels_url": "htt... | 11 | 2014-02-13T22:14:32Z | 2014-02-15T01:30:34Z | 2014-02-14T00:24:28Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/21766182/replacing-out-of-bounds-complex-values-in-a-pandas-dataframe/21766586#21766586
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"followers_url": "https://api.github.com/users/jr... | 5 | 2014-02-13T22:58:36Z | 2016-10-12T23:04:38Z | 2014-06-08T03:02:20Z | CONTRIBUTOR | null | Using:
```
df =pd.read_csv(StringIO(""",Date,app,File
2013-04-23,2013-04-23 00:00:00,,log080001.log
2013-05-06,2013-05-06 00:00:00,,log.log
2013-05-07,2013-05-07 00:00:00,OE,xlsx"""), parse_dates=[0])
```
This does not work:
```
In [8]: df.groupby("Date")[["File"]].max()
Out[8]:
File
Date
2013-0... | {
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"labels_url": "htt... | 0 | 2014-02-13T23:00:52Z | 2014-07-16T08:53:29Z | 2014-02-14T00:24:28Z | CONTRIBUTOR | null | closes #6345
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BUG: Bug in index name propogation in TimeGrouper/resample
closes #4161
API: TimeGrouper has a more compatible API to the rest of the groupers (e.g. `groups` was missing)
closes #3881
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```
>>> from pandas import HDFStore, DataFrame
>>> df = DataFrame({'a': ['a', 'a', 'c', 'b', 'test & test', 'c' , 'b', 'e'],
'b': [1, 2, 3, 4, 5, 6, 7, 8]})
>>> store = HDFStore('test.h5')
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```
In [4]: household.join(portfolio, how='inner')
Out[4]:
male wealth name share
household_id asset_id
1 nl0000301109 0 196087.3 ABN Amro 1.00
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```
pd.read_csv(StringIO("Date,Time\n2013-1-1,17:30"),
parse_dates={'Datetime':["Date","Time"]})
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6358 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6358/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6358/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6358/events | https://github.com/pandas-dev/pandas/issues/6358 | 27,616,678 | MDU6SXNzdWUyNzYxNjY3OA== | 6,358 | columns= specification when constructing dataframe from named Series now selects instead of renaming columns | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6359 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6359/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6359/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6359/events | https://github.com/pandas-dev/pandas/pull/6359 | 27,651,957 | MDExOlB1bGxSZXF1ZXN0MTI1ODQ0MDY= | 6,359 | BUG: correctly handle placement of pos/neg inf when dividing by integer 0) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6360 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6360/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6360/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6360/events | https://github.com/pandas-dev/pandas/issues/6360 | 27,654,535 | MDU6SXNzdWUyNzY1NDUzNQ== | 6,360 | ENH: merge multi-index with a multi-index | {
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"followers_url": "https://api.github... | 25 | 2014-02-15T18:45:21Z | 2018-11-15T13:08:29Z | 2018-11-15T13:08:29Z | CONTRIBUTOR | null | #3662 is about merging a single-level index with a mi
This is is about a multi-multi merge
```
# example described there:
In [11]: df = pd.DataFrame(np.random.randn(10,5))
...: df1 = df[range(0, 3)].set_index([0, 2])
...: df2 = df[range(2, 5)].set_index([2, 4])
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https://api.github.com/repos/pandas-dev/pandas/issues/6362 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6362/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6362/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6362/events | https://github.com/pandas-dev/pandas/pull/6362 | 27,658,246 | MDExOlB1bGxSZXF1ZXN0MTI1ODY5MTU= | 6,362 | DOC: clarify docstring of rolling/expanding moments | {
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- add note about the result set at right edge by default
- clarified freq keyword a little bit
Closes #5504
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```
In [1]: mi = MultiIndex.from_tuples([(x,y) for x in range(1000) for y in range(1000)])
In [2]: s = Series(np.random.randn(1000000), index=mi)
In [5]: %time x=s.ix[999]
CPU times: user 4 ms, sys: 0 ns, total: 4 ms
Wall time: 3.74 ms
In [6]: mi = MultiIndex.from_tuples([(x,y) for x in range(1000) fo... | {
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closes #5087
Relevant user-facing changes:
```
In [9]: df = DataFrame(randn(5, 2), columns=list('ab'))
In [10]: a, b = 1, 2
In [11]: # column names take precedence
In [12]: df.query('a < b')
Out[12]:
a b
0 -0.805549 -0.090572
1 -1.782325 -1.594079
2 -0.984364 0.934457
3 -1.963798 1... | {
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- Changes assert_numpy_array_equals to assert_numpy_array_equal, for consistency with other methods. (API change of recently-added function)
- Changes instances of assert_(np.array_equal(A,B)) to assert_numpy_array_eq... | {
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```
Name§Age
Jane Jones§33
```
Using pandas to read the file...
```
import pandas as pd
records = pd.read_table('test.txt', sep='§')
```
... the following is displayed:
```
O... | {
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There's something very strange with how `Index` objects handle slices:
``` python
In [1]: import pandas.util.testing as tm
In [2]: idx = tm.makeStringIndex(1000000)
In [3]: timeit idx[:-1]
100000 loops, best of 3: 2 µs per loop
In [4]: timeit idx[slice(None,-1)]
100 loops... | {
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"labels_url": "htt... | 1 | 2014-02-16T15:11:28Z | 2014-02-16T18:00:50Z | 2014-02-16T18:00:40Z | CONTRIBUTOR | null | I was playing with axis 0 and 1 in DataFrame shift. I get the following error:
```
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.rand(10,5))
df.shift(1,axis=1)
```
This gives me an error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "c:\WinPython-32bit-2.7... | {
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So, regardless of the decision to be made in other ticket, this patch will optimize series slicing right away and remove some redundant code (no need to override `__getslice__` b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6376 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6376/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6376/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6376/events | https://github.com/pandas-dev/pandas/pull/6376 | 27,706,207 | MDExOlB1bGxSZXF1ZXN0MTI2MDY1Mjk= | 6,376 | ENH: Add new specialized asserts for tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6378 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6378/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6378/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6378/events | https://github.com/pandas-dev/pandas/pull/6378 | 27,735,180 | MDExOlB1bGxSZXF1ZXN0MTI2MTk5NjE= | 6,378 | BUG: interpolate should preserve dtypes | {
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Replaces PR https://github.com/pydata/pandas/pull/6291 due to github / git issues.
@jreback I think opening a new PR will be easier. I'm was having trouble getting that branch and the PR in #6291 to sync up.
I noticed that you got the missing comma in the join_merge vbench added so I've removed that com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6379 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6379/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6379/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6379/events | https://github.com/pandas-dev/pandas/issues/6379 | 27,736,107 | MDU6SXNzdWUyNzczNjEwNw== | 6,379 | DataFrame Memory Usage after HDF5 retrieve | {
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"gi... | [] | closed | false | null | [] | null | 6 | 2014-02-17T17:18:13Z | 2014-02-17T20:34:08Z | 2014-02-17T20:34:08Z | NONE | null | Hi,
Pandas seems to be using way too much memory after retrieving data from a HDF5 store. In general memory peaks while reading (up to 30 times of the final data step) and then (even after calling the garbage collector) it uses around 10x the memory.
If I then get the numpy arrays out, delete the dataframe and create... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6380/events | https://github.com/pandas-dev/pandas/pull/6380 | 27,737,098 | MDExOlB1bGxSZXF1ZXN0MTI2MjEwNDk= | 6,380 | API/CLN: add in common operations to Series/Index, refactored as a OpsMixin | {
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"labels_url": "htt... | 9 | 2014-02-17T17:33:09Z | 2014-06-25T21:38:26Z | 2014-02-18T01:35:30Z | CONTRIBUTOR | null | closes #4551
closes #4056
closes #5519
allow a Series to utilize index methods for its index type, e.g. `Series.year` is now defined
for a Series with a `DatetimeIndex` or a `PeriodIndex`; trying this on an Index type will
now raise a `TypeError`. The following properties are affected:
`date,time,year,month,day,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6381/events | https://github.com/pandas-dev/pandas/pull/6381 | 27,738,434 | MDExOlB1bGxSZXF1ZXN0MTI2MjE3ODM= | 6,381 | CLN: Change assert_(a in b) and assert_(a not in b) to specialized forms | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6382/events | https://github.com/pandas-dev/pandas/issues/6382 | 27,739,777 | MDU6SXNzdWUyNzczOTc3Nw== | 6,382 | API/CLN: more common ops to integrate with Series/index OpsMixin | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2014-02-17T18:18:17Z | 2020-01-01T16:02:30Z | 2020-01-01T15:55:18Z | CONTRIBUTOR | null | after #6380, ability to pretty easily move ops over to the mix-in
- [x] `date/time` (added in #6380)
- [ ] more periods ops? #5202
- [x] additional field accessor (`is_beg_year`), #4823
- [x] validate `argmin/max`, (PR #7904)
- [x] StringMethods, e.g. `str` for `Index` (not for sub-classes though), #9068
(this turns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6383/events | https://github.com/pandas-dev/pandas/issues/6383 | 27,743,301 | MDU6SXNzdWUyNzc0MzMwMQ== | 6,383 | Bug in series.get? | {
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"labels_url": "htt... | 1 | 2014-02-17T19:22:43Z | 2014-02-17T20:34:48Z | 2014-02-17T20:34:48Z | CONTRIBUTOR | null | This showed up in the test suite for a PR for statsmodels. I have very little idea where this Series came from or why it's using get like this, but here it is anyway.
```
df = pd.Series(np.array([43, 48, 60, 48, 50, 51, 50, 45, 57, 48, 56,
45, 51, 39, 55, 43, 54, 52, 51, 54]),
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```
#!/usr/bin/env python
import numpy as np
import pandas as pd
from datetime import datetime
"""
Notice that the two nonmissing data points are 8 days apart, not 7.
Therefore, any attempt to calculate a 7-day (week-over-week) percent change
should re... | {
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```
In [123]: pandas.tseries.frequencies.to_offset('00H 00T 01S')
Out[123]: <0 * Days>
```
This change che... | {
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Clearly it contains a table as can be viewed from source.
``` python
In [1]: import pandas as pd
In [2]: from bs4 import BeautifulSoup
In [3]: url = "http://www.sochi2014.com/en/medal-standings"
In [4]: df = pd.read_html(url)
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``` python
In [6]: df = pd.DataFrame({'A': 5*[np.zeros(3)], 'B':5*[np.ones(3)]})
In [7]: df
Out[7]:
A B
0 [0.0, 0.0, 0.0] [1.0, 1.0, 1.0]
1 [0.0, 0.0, 0.0] [1.0, 1.0, 1.0]
2 [0.0, 0.0, 0.0] [1.0, 1.0,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6395/events | https://github.com/pandas-dev/pandas/pull/6395 | 27,794,109 | MDExOlB1bGxSZXF1ZXN0MTI2NTEwODk= | 6,395 | CLN: Change assert_(a [not] in b) to specialized forms | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6397/events | https://github.com/pandas-dev/pandas/issues/6397 | 27,800,614 | MDU6SXNzdWUyNzgwMDYxNA== | 6,397 | Resample with period='AS'/'A' does not work on localized indexes for multiple methods in "how" | {
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"labels_url": "htt... | 3 | 2014-02-18T15:18:06Z | 2014-02-25T21:29:11Z | 2014-02-25T21:29:11Z | NONE | null | I encountered a similar issue to (closed) #3592 .
When trying to resample a dataframe with a localized Datetime Index using the how method:
``` python
rng = pd.date_range('1/1/2011', periods=20000, freq='H')
rng = rng.tz_localize('EST')
ts = pd.DataFrame(index=rng)
ts['first']=np.random.randn(len(rng))
ts['second']=n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6398/events | https://github.com/pandas-dev/pandas/pull/6398 | 27,805,674 | MDExOlB1bGxSZXF1ZXN0MTI2NTc4OTI= | 6,398 | API: validate conversions of datetimeindex with tz, and fixup to_series() to handle (GH6032) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6399/events | https://github.com/pandas-dev/pandas/issues/6399 | 27,818,224 | MDU6SXNzdWUyNzgxODIyNA== | 6,399 | BUG: Mergesort is unstable when ascending=False | {
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"labels_url": "htt... | 2 | 2014-02-18T18:59:08Z | 2014-03-10T13:29:59Z | 2014-02-18T20:41:55Z | CONTRIBUTOR | null | ### The Issue
When using `DataFrame.sort_by(kind='mergesort')`, sorting is supposed to be stable. Unfortunately, that is not the case when `ascending=False`.
``` python
# Create a DataFrame where the first column is already in descending order.
In [96]: df = pd.DataFrame([[2, 'first'], [2, 'second'], [1, 'a'], [1, 'b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6400/events | https://github.com/pandas-dev/pandas/pull/6400 | 27,823,966 | MDExOlB1bGxSZXF1ZXN0MTI2Njg2NTY= | 6,400 | BUG: Fix mergesort unstable when ascending=False (GH6399) | {
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"labels_url": "htt... | 2 | 2014-02-18T20:15:01Z | 2014-07-17T17:35:09Z | 2014-02-18T20:41:44Z | CONTRIBUTOR | null | closes #6399. I hope I followed all of the correct procedures.
I ran the full test suite (test.sh), and there were no errors.
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