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https://api.github.com/repos/pandas-dev/pandas/issues/5301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5301/events | https://github.com/pandas-dev/pandas/pull/5301 | 21,459,103 | MDExOlB1bGxSZXF1ZXN0OTMzMjI3Mw== | 5,301 | BUG: setting on a frame without an index silently was failing, related (GH5226) | {
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the following would previously silently fail:
```
In [3]: df = DataFrame(columns=['A','B'])
In [4]: df[0] = Series(1,index=range(4))
In [5]: df
Out[5]:
A B 0
0 NaN NaN 1
1 NaN NaN 1
2 NaN NaN 1
3 NaN NaN 1
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5302/events | https://github.com/pandas-dev/pandas/issues/5302 | 21,477,686 | MDU6SXNzdWUyMTQ3NzY4Ng== | 5,302 | pd.merge() crashes with core/internals.py error | {
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After I did a couple of merges on DataFrames, they crashed with some strange message. After stripping all unnecessary info, here is what I've got:
Pandas version: '0.12.0'
Numpy version: '1.6.1
How to reproduce:
Create three files with the following content:
===input0.csv===
```
,myid,lang,someid
0,0,en,0
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https://api.github.com/repos/pandas-dev/pandas/issues/5303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5303/events | https://github.com/pandas-dev/pandas/pull/5303 | 21,484,527 | MDExOlB1bGxSZXF1ZXN0OTM0NjM0NQ== | 5,303 | BUG: Fix Series.isin with date/time-like dtypes (GH5021) | {
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```
In [6]: s = Series(date_range('jan-01-2013','jan-05-2013'))
In [7]: s
Out[7]:
0 2013-01-01 00:00:00
1 2013-01-02 00:00:00
2 2013-01-03 00:00:00
3 2013-01-04 00:00:00
4 2013-01-05 00:00:00
dtype: datetime64[ns]
In [8]: s.isin(s[0:2])
Out[8]:
0 True
1 True
2 False
3 False
4 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5304/events | https://github.com/pandas-dev/pandas/issues/5304 | 21,486,535 | MDU6SXNzdWUyMTQ4NjUzNQ== | 5,304 | ENH: Tweaks to axis handling (esp for flex methods) | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-10-23T21:36:02Z | 2013-10-28T01:14:47Z | 2013-10-28T01:14:47Z | CONTRIBUTOR | null | - [x] Add 'rows' as synonym for 'index' for DataFrame and Series - #5309
- [x] Allow Series to accept axis kwarg for flex ops (and only allow axis=0) - #5352
- [x] Fix Panel functions that aren't getting axis correctly - #5354
I think (2) may already be there, but I'm not sure and I want to check that.
This should be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5305/events | https://github.com/pandas-dev/pandas/pull/5305 | 21,493,055 | MDExOlB1bGxSZXF1ZXN0OTM1MTI1OQ== | 5,305 | ENH: allow astype conversions for timedeltas to other timedelta freqs (still returns a float series), related to GH4521 | {
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```
In [4]: td = pd.to_timedelta([0,1,2],unit='D')
In [5]: td
Out[5]:
0 00:00:00
1 1 days, 00:00:00
2 2 days, 00:00:00
dtype: timedelta64[ns]
In [6]: td / np.timedelta64(1,'s')
Out[6]:
0 0
1 86400
2 172800
dtype: float64
```
This is new (used to raise)
```
In [7]: td.as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5306/events | https://github.com/pandas-dev/pandas/issues/5306 | 21,495,574 | MDU6SXNzdWUyMTQ5NTU3NA== | 5,306 | Unused Imports in tseries.tools | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2013-10-24T01:11:47Z | 2014-07-28T14:58:21Z | 2014-07-28T14:58:21Z | CONTRIBUTOR | null | Imports https://github.com/pydata/pandas/blob/master/pandas/tseries/tools.py#L213 and https://github.com/pydata/pandas/blob/master/pandas/tseries/tools.py#L214 are not used:
```
from pandas.tseries.offsets import DateOffset
from pandas.tseries.frequencies import (_get_rule_month, _month_numbers,
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https://api.github.com/repos/pandas-dev/pandas/issues/5307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5307/events | https://github.com/pandas-dev/pandas/issues/5307 | 21,496,181 | MDU6SXNzdWUyMTQ5NjE4MQ== | 5,307 | Parameter Name of startingMonth for QuarterEnd is Misleading | {
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... | 2 | 2013-10-24T01:34:08Z | 2021-04-11T03:46:38Z | null | CONTRIBUTOR | null | `startingMonth` is the month the quarter ends. This is confusing.
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https://api.github.com/repos/pandas-dev/pandas/issues/5308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5308/events | https://github.com/pandas-dev/pandas/pull/5308 | 21,496,403 | MDExOlB1bGxSZXF1ZXN0OTM1MzEyMA== | 5,308 | Revert print_skipped.py changes for now | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-10-24T01:42:57Z | 2014-07-16T08:36:37Z | 2013-10-24T11:32:14Z | CONTRIBUTOR | null | goes back to @cpcloud's original plugin that echo'd separately. Just
until @cpcloud has time to implement this for nose-skipped.
Just makes it much easier to read through Travis builds (especially for
new users) if the print_skipped stuff is hidden at first glance.
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https://api.github.com/repos/pandas-dev/pandas/issues/5309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5309/events | https://github.com/pandas-dev/pandas/pull/5309 | 21,496,943 | MDExOlB1bGxSZXF1ZXN0OTM1MzM5NQ== | 5,309 | ENH: Make 'rows' an axis alias for 'index' | {
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I don't actually want to put this in the docs, as it's just for
convenience. Thoughts on that?
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https://api.github.com/repos/pandas-dev/pandas/issues/5310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5310/events | https://github.com/pandas-dev/pandas/issues/5310 | 21,508,260 | MDU6SXNzdWUyMTUwODI2MA== | 5,310 | TypeError when plotting TimeSeries with NaN data, maybe a BUG? | {
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Now, all of a sudden (no recent updates I can think of) all my plotting scripts get the TypeError... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5311/events | https://github.com/pandas-dev/pandas/pull/5311 | 21,519,271 | MDExOlB1bGxSZXF1ZXN0OTM2NTA1MQ== | 5,311 | TST: changes AssertionErrors in core/generic/_construct_axes_from_arguments to Type/Value Errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5312/events | https://github.com/pandas-dev/pandas/issues/5312 | 21,542,972 | MDU6SXNzdWUyMTU0Mjk3Mg== | 5,312 | Failing statsmodels tests on pandas master vs. 0.12.0 | {
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```
======================================================================
ERROR: statsmodels.iolib.tests.test_foreign.test_genfromdta_datetime
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https://api.github.com/repos/pandas-dev/pandas/issues/5313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5313/events | https://github.com/pandas-dev/pandas/issues/5313 | 21,549,338 | MDU6SXNzdWUyMTU0OTMzOA== | 5,313 | ENH: Add support for Categoricals in BlockManager | {
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There was an issue on the mailing list about using cut and sorting the results that brought this to mind. The issue is both that (I believe) a categorical loses its representation when you put it in a DataFrame and so the output of cut has to just be strings. I pr... | {
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Similar to r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5315/events | https://github.com/pandas-dev/pandas/pull/5315 | 21,550,236 | MDExOlB1bGxSZXF1ZXN0OTM4MjY3MA== | 5,315 | ENH: add basic postgresql support to io.sql | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5316/events | https://github.com/pandas-dev/pandas/issues/5316 | 21,566,878 | MDU6SXNzdWUyMTU2Njg3OA== | 5,316 | Failing tests in csv | {
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AssertionError: attr is not equal [dtype]: dtype('int32') != dtype('int64')
Note: I'm using a 32 bit OS.
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https://api.github.com/repos/pandas-dev/pandas/issues/5317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5317/events | https://github.com/pandas-dev/pandas/issues/5317 | 21,567,248 | MDU6SXNzdWUyMTU2NzI0OA== | 5,317 | HDFStore table format append issue | {
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http://nbviewer.ipython.org/7149023
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https://api.github.com/repos/pandas-dev/pandas/issues/5318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5318/events | https://github.com/pandas-dev/pandas/pull/5318 | 21,567,326 | MDExOlB1bGxSZXF1ZXN0OTM5MTcwNg== | 5,318 | TST: Fixed int32/int64 problem in csv parser tests | {
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I think this was just an issue with 32 bit OSes.
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https://api.github.com/repos/pandas-dev/pandas/issues/5319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5319/events | https://github.com/pandas-dev/pandas/issues/5319 | 21,571,927 | MDU6SXNzdWUyMTU3MTkyNw== | 5,319 | Regression for pd.Series.replace(np.nan, inplace=True) | {
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``` python
df.last_el_cmd.replace(np.nan, inplace=True)
```
The error:
``` python
/usr/local/epd/lib/python2.7/site-packages/pandas-0.12.0_955_ga96cd66-py2.7-linux-x86_64.egg/pandas/core/generic.pyc in replace(self, to_repl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5320/events | https://github.com/pandas-dev/pandas/issues/5320 | 21,590,082 | MDU6SXNzdWUyMTU5MDA4Mg== | 5,320 | PERF: slow assignement of an index to a frame | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5321/events | https://github.com/pandas-dev/pandas/pull/5321 | 21,590,317 | MDExOlB1bGxSZXF1ZXN0OTQwMzA3Mw== | 5,321 | PERF: vbench for time-series index assignment in frame (GH5320) | {
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closes #5320
```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
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https://api.github.com/repos/pandas-dev/pandas/issues/5324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5324/events | https://github.com/pandas-dev/pandas/issues/5324 | 21,599,207 | MDU6SXNzdWUyMTU5OTIwNw== | 5,324 | BUG: embedded pandas object cause formatting exceptions | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5325/events | https://github.com/pandas-dev/pandas/pull/5325 | 21,599,586 | MDExOlB1bGxSZXF1ZXN0OTQwODQ3Ng== | 5,325 | BUG: bug when trying to display an embedded PandasObject (GH5324) | {
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There was a bug where this wasn't display at all, so this PR fixes
Do we care about formatting _embedded_ pandas objects? (as we don't recommend this anyhow)
```
In [15]: df1 = DataFrame({'a':[1, 2, 3], 'b':[3, 4, 5]})
In [19]: df2.dtypes
Out[19]:
0 object
dtype: object
In [16]: df1
Out[16]:
a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5326/events | https://github.com/pandas-dev/pandas/issues/5326 | 21,602,493 | MDU6SXNzdWUyMTYwMjQ5Mw== | 5,326 | objToJSON nonvoid function does not return a value | {
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E: python3-pandas no-return-in-nonvoid-function pandas/src/ujson/python/objToJSON.c:166
I think this may be related to pull request #3874, where the return type was changed to int but the rest of the function rem... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5329/events | https://github.com/pandas-dev/pandas/issues/5329 | 21,611,650 | MDU6SXNzdWUyMTYxMTY1MA== | 5,329 | Possible memory leak with HDFStores and dataframes? | {
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``` python
for fname in fnames:
print fname
df = pd.read_hdf(fname, 'df', columns=[colname])
df['mybool'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5330/events | https://github.com/pandas-dev/pandas/pull/5330 | 21,612,480 | MDExOlB1bGxSZXF1ZXN0OTQxNTk4NQ== | 5,330 | ENH: Add option to highlight NaN cells | {
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- Add display.highlight_nan option (default True)
- Add argument to DataFrame.to_html
and HTMLFormatter.__init__
- Add test
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https://api.github.com/repos/pandas-dev/pandas/issues/5331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5331/events | https://github.com/pandas-dev/pandas/issues/5331 | 21,612,729 | MDU6SXNzdWUyMTYxMjcyOQ== | 5,331 | DOC: build error on to_latex | {
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from @changhiskhan
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https://api.github.com/repos/pandas-dev/pandas/issues/5332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5332/events | https://github.com/pandas-dev/pandas/issues/5332 | 21,621,712 | MDU6SXNzdWUyMTYyMTcxMg== | 5,332 | Period.asfreq broken for freq=MS | {
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"labels_url": "htt... | 10 | 2013-10-25T23:10:41Z | 2014-04-09T03:02:03Z | 2014-04-09T03:01:56Z | CONTRIBUTOR | null | This works:
```
In [9]: pd.Period("2013").asfreq(freq="M", how="S")
Out[9]: Period('2013-01', 'M')
```
but this does not:
```
In [8]: pd.Period("2013").asfreq(freq="MS", how="S")
----> 1 pd.Period("2013").asfreq(freq="MS", how="S")
/usr/local/lib/python2.7/dist-packages/pandas/tseries/period.pyc in asfreq(self, fre... | {
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... | 2 | 2013-10-25T23:52:46Z | 2018-10-25T23:56:16Z | 2018-10-25T23:56:16Z | CONTRIBUTOR | null | looking at the definition for the `asfreq_info` struct in `period.h`, I see the following lines:
```
int from_a_year_end; // month the year ends on in the "from" frequency
int from_q_year_end; // month the year ends on in the "from" frequency
int to_a_year_end; // month the year ends on in the "to" frequency
int to... | {
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matches the right signature whether in or not in the error condition.
Closes #5326.
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-26T02:27:57Z | 2014-06-13T13:53:33Z | 2013-10-28T01:18:49Z | CONTRIBUTOR | null | 1. Panel flex docstrings had str representation of functions like
`<builtin-func add..>` (not pretty). Fixed to be name
2. Added some docstrings to miscellaneous properties and clarified
meaning of info_axis/keys.
3. Wrap 0.13's release.rst at 80 characters per line.
I'm happy to revert (3) above...just was both... | {
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"followers_url": "https://api.github.com/users/... | 1 | 2013-10-26T02:55:02Z | 2014-07-16T08:37:14Z | 2014-01-01T03:14:28Z | CONTRIBUTOR | null | Hi,
Added some docs for error_bad_lines & warn_bad_lines, as currently there aren't any found here: http://pandas.pydata.org/pandas-docs/dev/generated/pandas.io.parsers.read_csv.html
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https://api.github.com/repos/pandas-dev/pandas/issues/5338 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5338/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5338/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5338/events | https://github.com/pandas-dev/pandas/issues/5338 | 21,632,015 | MDU6SXNzdWUyMTYzMjAxNQ== | 5,338 | DataFrame.replace(dict) has weird behaviour in some cases | {
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"labels_url": "htt... | 24 | 2013-10-26T11:04:26Z | 2016-10-12T23:04:19Z | 2014-02-21T12:00:51Z | CONTRIBUTOR | null | ``` python
import pandas as pd
df = pd.DataFrame({"color":[1,2,3,4]})
print df
color
0 1
1 2
2 3
3 4
print df.replace({"color":{"1":"2","3":"4",}}) # works but shouldn't?
color
0 2
1 2
2 4
3 4
print df.replace({"color":{"1":"2","2":"3","3":"4","4":"5"}}) # strange
color
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5339 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5339/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5339/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5339/events | https://github.com/pandas-dev/pandas/issues/5339 | 21,636,772 | MDU6SXNzdWUyMTYzNjc3Mg== | 5,339 | Timestamp.now() throws an Error | {
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```
from pandas.tslib import Timestamp
Timestamp.now()
---------------------------------------------------------------------------
TypeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5340/events | https://github.com/pandas-dev/pandas/pull/5340 | 21,637,848 | MDExOlB1bGxSZXF1ZXN0OTQyNzkzNQ== | 5,340 | More informative exception when trying to use ``MS`` as period frequency | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5341/events | https://github.com/pandas-dev/pandas/pull/5341 | 21,638,243 | MDExOlB1bGxSZXF1ZXN0OTQyODA4Ng== | 5,341 | BUG/CLN: Cleanup sanitize column and abstract broadcasting | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5342 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5342/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5342/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5342/events | https://github.com/pandas-dev/pandas/pull/5342 | 21,639,712 | MDExOlB1bGxSZXF1ZXN0OTQyODY0NQ== | 5,342 | API: provide compat for Timestamp now/today/utcnow class methods (GH5339) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5343 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5343/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5343/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5343/events | https://github.com/pandas-dev/pandas/pull/5343 | 21,642,526 | MDExOlB1bGxSZXF1ZXN0OTQyOTY5MA== | 5,343 | ENH: allow in-line expression assignment with df.eval | {
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"followers_url": "https://api.github.com/users/wesm... | 17 | 2013-10-26T22:34:45Z | 2014-06-17T03:29:49Z | 2013-10-27T22:12:25Z | CONTRIBUTOR | null | This was a relatively easy extension of eval to allow in-line creation/assignment.
Allows one to basically use formulas to do things (pandas conquers excel!!!!)
- [x] docs
- [x] tests non-frame
```
In [11]: df = DataFrame(dict(a = range(5), b = range(5,10)))
In [12]: df
Out[12]:
a b
0 0 5
1 1 6
2 2 7
3 3... | {
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and the contents of the clipboard are unusable.
Could perhaps introduce an option to enforce a limit on row count (10,000? 100,000? )
and/or add a `force` keyword in `to_clipboard()` since copying a huge amount into the
clipboard can hang.
now that ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5347 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5347/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5347/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5347/events | https://github.com/pandas-dev/pandas/issues/5347 | 21,654,668 | MDU6SXNzdWUyMTY1NDY2OA== | 5,347 | please tidy up your temporary files during testing | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-27T15:44:18Z | 2016-10-12T23:04:19Z | 2013-10-28T03:26:02Z | CONTRIBUTOR | null | I found that our /tmp on nibotmi was filled up with tmp*png files. And they are coming from pandas. I did
mkdir tmp; TMPDIR=$PWD/tmp nosetests -s -v pandas
to find 186 .png of 12M total after a single run of tests
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https://api.github.com/repos/pandas-dev/pandas/issues/5348 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5348/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5348/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5348/events | https://github.com/pandas-dev/pandas/issues/5348 | 21,656,721 | MDU6SXNzdWUyMTY1NjcyMQ== | 5,348 | Cannot Add Dates that are the 1st of a Month and on a Sunday to a DatetimeIndex | {
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"id": ... | closed | false | null | [] | null | 3 | 2013-10-27T17:40:46Z | 2016-12-11T14:06:54Z | 2016-12-11T14:06:54Z | NONE | null | Running into a problem when I attempt to add the first date of a month that is a Sunday.
``` python
import datetime
from pandas.tseries.index import DatetimeIndex
d1 = datetime.date(2002, 9, 1)
d2 = datetime.date(2013, 10, 27)
d3 = datetime.date(2012, 9, 30)
i1 = DatetimeIndex([d1, d2])
i2 = DatetimeIndex([d3])
i1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5349 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5349/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5349/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5349/events | https://github.com/pandas-dev/pandas/issues/5349 | 21,659,349 | MDU6SXNzdWUyMTY1OTM0OQ== | 5,349 | np.max(Index) creates an invalid index. | {
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Numpy version: '1.6.1'
How to reproduce:
ser = pd.Series([2, 4, 6], index=[0, 2, 3])
ids = ser.index
x = np.max(ids)
Now, two things happen:
*) type(x) is Index
*) x is a 0-d array (so getting x[0]) crashes
*) print x crashes as well:
/home/olexiy/clients/olexiy-validators/google3/blaze-bin/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5350 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5350/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5350/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5350/events | https://github.com/pandas-dev/pandas/pull/5350 | 21,659,572 | MDExOlB1bGxSZXF1ZXN0OTQzNTYwNA== | 5,350 | DOC: Panel *xs() docstring indicates wrong default for copy | {
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"followers_url": "https://api.github.com/users/... | 1 | 2013-10-27T20:17:41Z | 2014-06-24T22:56:53Z | 2013-11-21T14:06:31Z | CONTRIBUTOR | null | Also the copy param in Panel.xs was undocumented. Intentional?
Worth a line in release.rst?
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-27T22:27:17Z | 2014-07-16T08:37:31Z | 2013-10-28T00:48:46Z | CONTRIBUTOR | null | Now flex methods can take axis=0/axis='rows'/axis='index'. Also updated
tests to cover full range of Series flex ops and check that they all
accept an axis argument.
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"followers_url": "https://api.github.com/users/jr... | 8 | 2013-10-27T22:58:05Z | 2014-08-19T17:09:14Z | 2014-08-19T17:09:14Z | CONTRIBUTOR | null | Hi,
I posted this on stackoverflow http://stackoverflow.com/questions/19602864/how-to-plot-in-a-specific-axis-with-dataframe-histby-in-pandas?noredirect=1#comment29118427_19602864 and was suggested to file a bug report here.
I am trying plot several histogram groups in the same figure. Each group contains two conditio... | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-10-28T00:09:50Z | 2014-06-14T15:19:38Z | 2013-10-28T01:14:38Z | CONTRIBUTOR | null | Still need to add tests for DataFrame and Series, but should work. Very
simple fix to boot :).
Finally closes #5044
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... | 4 | 2013-10-28T00:33:32Z | 2020-03-31T04:12:46Z | null | CONTRIBUTOR | null | Needs to coerce:
e.g.
``` python
In [1]: import pandas.util.testing as tm
In [2]: pan = tm.makePanel()
In [3]: pan
Out[3]:
<class 'pandas.core.panel.Panel'>
Dimensions: 3 (items) x 30 (major_axis) x 4 (minor_axis)
Items axis: ItemA to ItemC
Major_axis axis: 2000-01-03 00:00:00 to 2000-02-11 00:00:00
Minor_axis axis... | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-10-28T00:43:16Z | 2013-11-05T22:53:10Z | 2013-11-05T22:53:10Z | CONTRIBUTOR | null | Now that we have all the arithmetic methods, there's no reason to keep it as before. Not having this means that operating on an int column with missing values switches operation result from floordiv to truediv.
@wesm You had, at one point, said that you would consider this. I believe this change would iron over a lon... | {
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``` python
from itertools import izip
df = DataFrame(izip(range(3), range(-3, 1), list('abc')), columns=list('abc'))
---------------------------------------------------------------------------
PandasError Traceback (most recent call last)
<ipython-input-3-15234514160e> in <module>()... | {
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"labels_url": "htt... | 1 | 2013-10-28T01:59:23Z | 2014-04-04T18:08:48Z | 2014-04-04T18:08:41Z | CONTRIBUTOR | null | Changes it to tuples instead (so it's probably just converting to list or going to values somewhere)
``` python
In [9]: df = DataFrame(list(zip(range(3), range(3), range(3), range(3))))
In [10]: ind = MultiIndex.from_arrays([['x', 'y', 'z'], [4, 4, 5]], names=['ind1', 'ind2'])
In [11]: df.set_index(ind)
Out[11]:
... | {
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Added option to ensure_clean() to just return file-like.
Closes #5347.
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https://api.github.com/repos/pandas-dev/pandas/issues/5360 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5360/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5360/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5360/events | https://github.com/pandas-dev/pandas/pull/5360 | 21,669,458 | MDExOlB1bGxSZXF1ZXN0OTQzODk4OA== | 5,360 | TST/CLN: Only print on test failures. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5361 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5361/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5361/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5361/events | https://github.com/pandas-dev/pandas/issues/5361 | 21,688,759 | MDU6SXNzdWUyMTY4ODc1OQ== | 5,361 | BUG: to_datetime returns KeyError: 'p' when %p specified in format string | {
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"followers_url": "https://api.github.com/users/... | 1 | 2013-10-28T13:27:29Z | 2014-06-07T06:13:38Z | 2014-01-24T22:16:35Z | CONTRIBUTOR | null | Here's a question on SO - http://stackoverflow.com/questions/19635704/keyerror-in-pandas-to-datetime-using-custom-format, also possible to check it like this:
```
pd.to_datetime('09/30/2013 04:14 PM', format="%m/%d/%Y %I:%M %p")
```
It works for python time:
```
time.strptime('09/30/2013 04:14 PM', "%m/%d/%Y %I:%M %... | {
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"followers_url": "https://api.github.com/users/... | 1 | 2013-10-28T19:53:37Z | 2013-10-28T23:57:12Z | 2013-10-28T23:57:12Z | CONTRIBUTOR | null | See https://github.com/pydata/pandas/issues/5174
May not be just Macs. From that thread, yarikoptic's OS was: `OS: Linux 3.9-1-amd64 #1 SMP Debian 3.9.8-1 x86_64`.
A sample failure is from the generic.interpolate suite (modified to downcast, which is the default):
``` python
def test_interp_quad(self):
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https://api.github.com/repos/pandas-dev/pandas/issues/5364 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5364/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5364/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5364/events | https://github.com/pandas-dev/pandas/issues/5364 | 21,720,011 | MDU6SXNzdWUyMTcyMDAxMQ== | 5,364 | HDF5 (PyTables) fsync support | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-10-28T20:51:13Z | 2013-10-29T20:29:10Z | 2013-10-29T20:29:10Z | CONTRIBUTOR | null | I'm using Pandas HDF5 files on a shared network file system with a distributed lock manager (based on Kazoo) to ensure a single writer at a time.
When there is significant lock contention, a rapid series of flush, close, lock release and lock acquisition in a different process will cause corruption to the HDF5 file. T... | {
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When I run:
```
from pandas.io.ga import GAnalytics
gAnalytics = GAnalytics()
gAnalytics.cre... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5367 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5367/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5367/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5367/events | https://github.com/pandas-dev/pandas/issues/5367 | 21,723,625 | MDU6SXNzdWUyMTcyMzYyNQ== | 5,367 | Add mode() function to pandas.Series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5368 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5368/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5368/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5368/events | https://github.com/pandas-dev/pandas/pull/5368 | 21,727,157 | MDExOlB1bGxSZXF1ZXN0OTQ3MDE5NQ== | 5,368 | BUG: downcasting is now more robust (related GH5174) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5369 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5369/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5369/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5369/events | https://github.com/pandas-dev/pandas/pull/5369 | 21,729,680 | MDExOlB1bGxSZXF1ZXN0OTQ3MTYzOA== | 5,369 | ENH: HDFStore.flush() to optionally perform fsync (GH5364) | {
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The `fsync=False` parameter was added to `flush` given this offers utility for non-distribution use cases, such as a user just wanting to ensure their data is regularly flushed to disk.
I could not see any mocking library in use in the Pandas tests, so I skipped adding one just to verify `os.f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5370 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5370/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5370/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5370/events | https://github.com/pandas-dev/pandas/issues/5370 | 21,735,355 | MDU6SXNzdWUyMTczNTM1NQ== | 5,370 | df.head() and .tail() weirdness | {
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At some point it has an Index like so:
``` python
Index([u'(K)', -440.0, -439.0, -438.0, -437.0, -436.0, -435.0, -434.0, -433.0, -432.0], dtype='object')
```
Naturally, I want to drop the "u'(K)'" index. Interestingly, after doing so the head() and tail() calcula... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5372 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5372/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5372/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5372/events | https://github.com/pandas-dev/pandas/issues/5372 | 21,753,287 | MDU6SXNzdWUyMTc1MzI4Nw== | 5,372 | repr for PeriodIndex does not handle <=2 elements well | {
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```
In [9]: pd.period_range('2013Q1', periods=1, freq="Q")
Out[9]:
<class 'pandas.tseries.period.PeriodIndex'>
freq: Q-DEC
[2013Q1, ..., 2013Q... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5375 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5375/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5375/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5375/events | https://github.com/pandas-dev/pandas/pull/5375 | 21,780,427 | MDExOlB1bGxSZXF1ZXN0OTUwMDA4MQ== | 5,375 | BUG/TST: transform and filter on non-unique index, closes #4620 | {
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This is a relatively minor change. Previously, `filter` on
`SeriesGroupBy` and `DataFrameGroupby` and `transform` on only
`SeriesGroupBy` referred to the index of each group's object.
This cannot work with repeated indexes, because some repeated
indexes occur between more than one group. Instead, use
`{S... | {
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Gets weird with heterogeneous dtypes (b/c union of all unique values)
@rockg - can you make up some test c... | {
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This returns the color selection to a per-set basis.
See http://stackoverflow.com/questions/19667209/colors-in-andrews-curves
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https://api.github.com/repos/pandas-dev/pandas/issues/5379 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5379/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5379/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5379/events | https://github.com/pandas-dev/pandas/issues/5379 | 21,802,514 | MDU6SXNzdWUyMTgwMjUxNA== | 5,379 | TST: Use matplotlib's compare_images to check plots | {
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"f... | 2 | 2013-10-30T02:53:32Z | 2020-05-22T03:26:25Z | null | CONTRIBUTOR | null | With #5378 - could be a good time to start comparing against images for these plotting tests... matplotlib has a test function and GeoPandas is working on it here - https://github.com/kjordahl/geopandas/pull/43, so we could work off of their example, maybe a decorator that handles ensure_clean and comparisons...
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https://api.github.com/repos/pandas-dev/pandas/issues/5380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5380/events | https://github.com/pandas-dev/pandas/pull/5380 | 21,803,471 | MDExOlB1bGxSZXF1ZXN0OTUxMzI0OQ== | 5,380 | ENH: Add mode method to Series and DataFrame | {
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Not using result of hashtable.val... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5381/events | https://github.com/pandas-dev/pandas/pull/5381 | 21,803,758 | MDExOlB1bGxSZXF1ZXN0OTUxMzM3OQ== | 5,381 | WIP: Add value_counts() to DataFrame | {
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apply so that's a future TODO.
I'm relatively certain that this works, but I don't have explicit tests
for it. I'm hoping others who are interested (cough cough @rockg) will
be willing to create some of them. Key to test are that binning,
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https://api.github.com/repos/pandas-dev/pandas/issues/5382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5382/events | https://github.com/pandas-dev/pandas/issues/5382 | 21,805,501 | MDU6SXNzdWUyMTgwNTUwMQ== | 5,382 | Missing entries in tseries.offsets.prefix_mapping | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5383/events | https://github.com/pandas-dev/pandas/pull/5383 | 21,805,599 | MDExOlB1bGxSZXF1ZXN0OTUxNDMxMA== | 5,383 | Update offset prefix map | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5384/events | https://github.com/pandas-dev/pandas/issues/5384 | 21,822,769 | MDU6SXNzdWUyMTgyMjc2OQ== | 5,384 | io.html.read_html returning table "twice" | {
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``` python
from pandas.io.html import read_html
read_html('http://www.epexspot.com/en/market-data/auction/auction-table/2005-10-25/DE',
attrs={'class': 'list hours responsive'},
skiprows=1,
parse_dates=False)
```
returns a list of two data frames where the first one is equivalent to `r... | {
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"f... | 12 | 2013-10-30T13:16:44Z | 2018-10-25T03:22:23Z | 2018-10-25T03:22:23Z | CONTRIBUTOR | null | Here's the [output](https://gist.github.com/TomAugspurger/7232405) from the current master. I could try to clean some of the warnings up someday _if there's any interest_; a decent excuse to look through the source code.
A lot of the warnings look similar:
- deprecated numpy API
- warning: static variable 'PyArray_API... | {
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"followers_url": "https://api.github.com/users/jorisva... | 9 | 2013-10-30T14:13:12Z | 2018-07-06T20:21:02Z | 2017-07-10T21:09:13Z | CONTRIBUTOR | null | Just on panels, works fine for DataFrames.
Gives a `TypeError` when reading:
``` python
In [7]: df = pd.DataFrame({'A': [1, 2], 'B': pd.to_datetime(['2010-01-01', np.nan])})
In [8]: df
Out[8]:
A B
0 1 2010-01-01 00:00:00
1 2 NaT
In [10]: tst = pd.HDFStore('tst.h5')
In [12]: df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5390 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5390/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5390/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5390/events | https://github.com/pandas-dev/pandas/pull/5390 | 21,861,803 | MDExOlB1bGxSZXF1ZXN0OTU0NTA2Nw== | 5,390 | API: raise/warn SettingWithCopy when chained assignment is detected | {
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In [1]: df = DataFrame({"A": [1, 2, 3, 4, 5], "B": [3.125, 4.12, 3.1, 6.2, 7.]})
In [2]: row = df.loc[0]
```
Default is to warn
```
In [3]: row["A"] = 0
pandas/core/generic.py:1001: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_index,col_indexer] = ... | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2013-10-30T22:01:55Z | 2014-08-21T22:11:28Z | 2014-08-21T22:11:28Z | CONTRIBUTOR | null | It seems to me that join operation fails if the index is not of unique values. The particular circumastance that I observed this was with multi-index:
```
df1.set_index( [ 'col1', 'col2', 'col3' ], inplace=True )
df2.join ( df1, on=['cola', 'colb', 'colc' ], how='left' )
```
I understand that the above join operation... | {
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"followers_url": "https://api.github.com/users/... | 5 | 2013-10-30T23:07:29Z | 2013-12-20T17:54:33Z | 2013-11-07T21:53:41Z | CONTRIBUTOR | null | @wesm - can you do this - http://about.travis-ci.org/blog/2012-09-04-pull-requests-just-got-even-more-awesome/ ?
Looks like you just have to tweak a setting and then Travis will build every PR automatically. I don't have admin rights to pydata so I can't change it.
And then we wouldn't have to tell everyone to set up... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5394 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5394/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5394/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5394/events | https://github.com/pandas-dev/pandas/pull/5394 | 21,870,526 | MDExOlB1bGxSZXF1ZXN0OTU0OTg5Nw== | 5,394 | ENH: read_excel: try converting numeric to int | {
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All Excel numeric data is stored as floats, so have to convert it specifically.
Changing default because it's suprising to save something with what looks like
a row/column of integers and get a column of floats instead. (especially
because it can lead to annoyin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5395/events | https://github.com/pandas-dev/pandas/pull/5395 | 21,873,629 | MDExOlB1bGxSZXF1ZXN0OTU1MTQ3OQ== | 5,395 | HTML Parsing Cleanup | {
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"closed_at": "2014-05-30T12:17:57Z",
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"creator": null,
"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 43 | 2013-10-31T02:43:58Z | 2016-03-20T15:25:36Z | 2014-02-16T22:04:20Z | CONTRIBUTOR | null | - Can pass `Flavor` to HTML parse (closes #4594 and #5130). Instead of #5131
- Cleanup API for HTML parsers
I added new (public class) `Flavor` which users can subclass. Currently the expectation is to pass in the class (not an instance of the class)
CC @cpcloud @jtratner @jreback
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https://api.github.com/repos/pandas-dev/pandas/issues/5396 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5396/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5396/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5396/events | https://github.com/pandas-dev/pandas/issues/5396 | 21,882,376 | MDU6SXNzdWUyMTg4MjM3Ng== | 5,396 | segmentation fault 11 on Mavericks python Python 2.7.6rc1 | {
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Here is the full error report :
Process: Python [95313]
Path: /Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python
Identifier: Python
Version: 2.7.6rc1 (2.7.6rc1)
Code Type: X86... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5397/events | https://github.com/pandas-dev/pandas/pull/5397 | 21,891,808 | MDExOlB1bGxSZXF1ZXN0OTU2MTExNg== | 5,397 | BUG/TST: fix downcasting of float-like object array | {
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"followers_url": "https://api.github.com/users/wesm... | 0 | 2013-10-31T12:04:13Z | 2014-07-16T08:38:18Z | 2013-10-31T12:30:10Z | CONTRIBUTOR | null | related #5394
This now works
```
In [1]: arr = np.array([1.0,2.0],dtype=object)
In [3]: pandas.core.common._possibly_downcast_to_dtype(arr,'infer')
Out[3]: array([1, 2])
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5398/events | https://github.com/pandas-dev/pandas/issues/5398 | 21,904,663 | MDU6SXNzdWUyMTkwNDY2Mw== | 5,398 | BUG: Google Analytics v3 segments should support underscores | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-10-31T15:40:32Z | 2013-12-07T14:22:13Z | 2013-12-07T14:22:13Z | CONTRIBUTOR | null | In working with Google Analytics I've found new segments being named with underscores included. This relates to the pandas/io/ga module.
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https://api.github.com/repos/pandas-dev/pandas/issues/5399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5399/events | https://github.com/pandas-dev/pandas/pull/5399 | 21,904,713 | MDExOlB1bGxSZXF1ZXN0OTU2ODM3MQ== | 5,399 | Display the correct error message when calling a binary moment without appropriate parameters. | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-31T15:41:15Z | 2014-06-22T05:58:40Z | 2013-11-21T13:44:48Z | CONTRIBUTOR | null | This pr fixes a typo in the type checking of binary moments. It makes the error messages below consistent:
> > > import pandas
> > > a = pandas.DataFrame([1,2,3,4,5,6])
> > > pandas.rolling_cov(list(), a, 3)
> > > ValueError: arguments to moment function must be of type ndarray/DataFrame
> > >
> > > pandas.rolling_c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5400/events | https://github.com/pandas-dev/pandas/pull/5400 | 21,911,891 | MDExOlB1bGxSZXF1ZXN0OTU3MjYwMA== | 5,400 | BUG: support for GA new segment format (GH5398) | {
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"followers_url": "https://api.github.com/users/wesm... | 13 | 2013-10-31T17:24:27Z | 2014-06-27T14:53:37Z | 2013-12-07T14:22:02Z | CONTRIBUTOR | null | Adds support for underscores to Google's new segment format. The issue referenced is here:
closes https://github.com/pydata/pandas/issues/5398
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