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> > > df = pandas.DataFrame({'A': pandas.Series(['A', 'B', 'C', 'D... | {
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The default branch relates to rpy2 2.3.x for some time. It is safer to stick to the 2.2.x series if you developed code against it.
L.
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I also added a test for it and a test.xlsx file that I saved from test.xls.
Furthermore I noticed an ugly break of the DRY principle in ExcelFile.parse and gave ... | {
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"""
Hello All,
Working on 0.7.2.
I have a DataFrame with a MultiIndex (2 levels).
Because my second level contains non ascii character I can't use the
methods ;
- DataFrame.index.levels
- DataFrame.get_level_values(1)
Is it a known issue?
Thanks!
"""
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df.plot() looks the same as df.plot(logy=True)
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https://api.github.com/repos/pandas-dev/pandas/issues/1013 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1013/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1013/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1013/events | https://github.com/pandas-dev/pandas/issues/1013 | 4,022,114 | MDU6SXNzdWU0MDIyMTE0 | 1,013 | DataFrame.ix[tup, list] throws exception | {
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---
I created a dataframe with multi index like this:
a b c
y m d
2000 1 1 1 2 3
2 7 8 9
3 4 5 6
...
it doesn't work to do this: df.ix[(2000,1,1), ['a','b']]
## it gives KeyError = 1
in _NDFrameIndexer._getit... | {
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"f... | 0 | 2012-04-09T04:14:44Z | 2014-02-16T21:28:19Z | 2014-02-16T21:28:19Z | MEMBER | null | something like
`array([82.87, 82.1, 84.25, 84.53, 85.9, 85.9, 86.95, 88.13, 89.49, 89.76,
90.76, 88.99, 89.42, 89.0, 89.49, 88.95, 89.09, 88.65, 88.52, 88.98], dtype=object)`
from the mailing list
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SparsePanel.subtract(Panel)
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In [69]: b = Series(['b', 'a'])
In [70]: a > b
Warning: Program '/home/chang/epd/bin/ipython' crashed.
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https://api.github.com/repos/pandas-dev/pandas/issues/1020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1020/events | https://github.com/pandas-dev/pandas/issues/1020 | 4,051,436 | MDU6SXNzdWU0MDUxNDM2 | 1,020 | Implement O(n)-time O(1)-space min, max subsequence | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1021/events | https://github.com/pandas-dev/pandas/pull/1021 | 4,052,007 | MDExOlB1bGxSZXF1ZXN0MTEzNzQ3NQ== | 1,021 | ENH: #1020 implementation. needs tests and adding to API | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1022/events | https://github.com/pandas-dev/pandas/issues/1022 | 4,058,618 | MDU6SXNzdWU0MDU4NjE4 | 1,022 | Implement dynlm features | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1023/events | https://github.com/pandas-dev/pandas/issues/1023 | 4,061,499 | MDU6SXNzdWU0MDYxNDk5 | 1,023 | Aggregation with 'any' always returns True | {
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```
In [33]: DataFrame({'a': [0, 1], 'b': [True, False]}).groupby('a').agg(any)
Out[33]:
b
a
0 True
1 True
```
pandas.**version** == '0.7.2'
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https://api.github.com/repos/pandas-dev/pandas/issues/1024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1024/events | https://github.com/pandas-dev/pandas/issues/1024 | 4,063,797 | MDU6SXNzdWU0MDYzNzk3 | 1,024 | Aggregation with 'any' always returns True | {
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```
In [12]: DataFrame({'a': [0, 1], 'b': [True, False]}).groupby('a').agg(any)
Out[12]:
b
a
0 True
1 True
```
This is the case where this ... | {
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tl;d... | {
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GH #1008
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https://api.github.com/repos/pandas-dev/pandas/issues/1030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1030/events | https://github.com/pandas-dev/pandas/pull/1030 | 4,075,975 | MDExOlB1bGxSZXF1ZXN0MTE0NzkzMw== | 1,030 | Sphinx documentation for read_fwf | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1031/events | https://github.com/pandas-dev/pandas/issues/1031 | 4,077,047 | MDU6SXNzdWU0MDc3MDQ3 | 1,031 | Add normalize options to date_range, bdate_range | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1032/events | https://github.com/pandas-dev/pandas/pull/1032 | 4,084,028 | MDExOlB1bGxSZXF1ZXN0MTE1MTMzNQ== | 1,032 | very minor url/email fixes due to move over to pydata | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1033/events | https://github.com/pandas-dev/pandas/pull/1033 | 4,085,061 | MDExOlB1bGxSZXF1ZXN0MTE1MTc3MA== | 1,033 | BUG: "install" test/*.xlsx as well | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1034/events | https://github.com/pandas-dev/pandas/issues/1034 | 4,085,610 | MDU6SXNzdWU0MDg1NjEw | 1,034 | test_xlsx_table failure | {
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```
======================================================================
FAIL: test_xlsx_table (pandas.io.tests.test_parsers.TestParsers)
------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1035/events | https://github.com/pandas-dev/pandas/issues/1035 | 4,089,697 | MDU6SXNzdWU0MDg5Njk3 | 1,035 | DatetimeBlock -> FloatBlock in reindex op | {
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floats ints strings bools objects
0 -1.478427 0 foo False 2000-01-03 00:00:00
1 0.524988 1 bar True 2000-01-04 00:00:00
2 0.404705 2 foo True 2000-01-05 00:00:00
3 0.577046 3 bar True 2000-01-06 00:00:00
4 -1.715002 4 foo False 2000-01-07 0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1037/events | https://github.com/pandas-dev/pandas/issues/1037 | 4,089,802 | MDU6SXNzdWU0MDg5ODAy | 1,037 | Arrays of datetime64 not handled in DataFrame constructor with passed dict | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1038/events | https://github.com/pandas-dev/pandas/pull/1038 | 4,090,212 | MDExOlB1bGxSZXF1ZXN0MTE1NDA0MQ== | 1,038 | @network decorator for tests requiring network access | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1039/events | https://github.com/pandas-dev/pandas/pull/1039 | 4,091,335 | MDExOlB1bGxSZXF1ZXN0MTE1NDU0Nw== | 1,039 | BUG: Allow indexing with namedtuple, close #1026 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1040/events | https://github.com/pandas-dev/pandas/issues/1040 | 4,092,330 | MDU6SXNzdWU0MDkyMzMw | 1,040 | TestGroupBy failures and docs don't build on Mac OS X Lion | {
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I'm using Macports python 2.7, numpy 1.7.0.dev-3503c5f and cython 449e3b58a9fe4826179b7208241ee991e7360a7b
There's one test error and two failures (see details below).
Also I can't generate the docs (see details b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1043/events | https://github.com/pandas-dev/pandas/issues/1043 | 4,096,540 | MDU6SXNzdWU0MDk2NTQw | 1,043 | Add first / last optimized groupby functions | {
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```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/home/wesm/Dropbox/talks/notebooks/<ipython-input-31-6c807131b1d0> in <module>()
----> 1 close_px.ix['2000':'2003']
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https://api.github.com/repos/pandas-dev/pandas/issues/1045 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1045/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1045/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1045/events | https://github.com/pandas-dev/pandas/issues/1045 | 4,097,701 | MDU6SXNzdWU0MDk3NzAx | 1,045 | NumPy reductions don't work with convert / TimeGrouper | {
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... | closed | false | null | [] | {
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(1 + returns).convert('BM', how=np.cumprod)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
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----> 1 (1 + returns).convert('BM', how=np.cump... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1046 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1046/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1046/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1046/events | https://github.com/pandas-dev/pandas/issues/1046 | 4,097,801 | MDU6SXNzdWU0MDk3ODAx | 1,046 | Alignment ops with irregular DatetimeIndex performance problems | {
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```
%prun -s cumulative result = left + right
1000435 function calls (1000434 primitive calls) in 4.870 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 4.870 4.870 <string>:1(<mod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1047 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1047/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1047/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1047/events | https://github.com/pandas-dev/pandas/issues/1047 | 4,101,688 | MDU6SXNzdWU0MTAxNjg4 | 1,047 | use to_csv with tempfile | {
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"followers_url": "https://api.github.com/users/wesm/... | 4 | 2012-04-13T11:27:57Z | 2018-02-01T08:10:24Z | 2012-06-25T00:04:40Z | NONE | null | I'd like to be able to write csv to temporary files and not have to worry about cleaning them up after they are sent to a user. Is it possible to have an optional file parameter on the to_csv methods, which would be used instead of the string filename? This could then be any file-like object (or even any suitable io ob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1048/events | https://github.com/pandas-dev/pandas/issues/1048 | 4,102,606 | MDU6SXNzdWU0MTAyNjA2 | 1,048 | Segfault in .groupby() with empty groups | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-04-13T12:50:06Z | 2016-10-12T23:02:53Z | 2012-05-07T16:36:05Z | CONTRIBUTOR | null | I get a segfault when running:
pandas.DataFrame([1,2,3]).groupby([]).groups
As an aside, in my scenario (which I don't know how general it is) the user can supply the grouping. If no grouping should take place (i.e. groupby([])) I would like .groupby() to return the whole data, instead there is a:
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https://api.github.com/repos/pandas-dev/pandas/issues/1049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1049/events | https://github.com/pandas-dev/pandas/issues/1049 | 4,107,465 | MDU6SXNzdWU0MTA3NDY1 | 1,049 | Adding float32 series to dataframe and then attempting to join() | {
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I have a IPython notebook that explores this issue (basically it only seems to occur when you add a float32 series to the DataFrame **after** creating it, no other datatype I tested seems to trigger this bug). Please contact me if you want the notebook since I don't seem to be able to attach ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1050/events | https://github.com/pandas-dev/pandas/pull/1050 | 4,113,717 | MDExOlB1bGxSZXF1ZXN0MTE2MzMyNA== | 1,050 | ENH: key in HDFStore | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1051/events | https://github.com/pandas-dev/pandas/issues/1051 | 4,116,038 | MDU6SXNzdWU0MTE2MDM4 | 1,051 | nosetests fails one test | {
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I have just watched your 3+ hour talk on pandas and got enthusiastic. So, I am exploring pandas for my scientific work on high-frequency finance data. Thanks for all the good stuff.
There is one issue you might want to know about. This morning I upgraded to the latest Enthought python distribution and th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1052/events | https://github.com/pandas-dev/pandas/issues/1052 | 4,117,305 | MDU6SXNzdWU0MTE3MzA1 | 1,052 | Feature request: purely int-index based version of .ix | {
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However, I am really uneasy about the fallback behavior of the `.ix` attribute. Why can't we have a purely label based version of `.ix` and a p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1053/events | https://github.com/pandas-dev/pandas/issues/1053 | 4,117,718 | MDU6SXNzdWU0MTE3NzE4 | 1,053 | Bug in DataFrame.to_html with MultiIndex | {
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DataFrame(
rand(2, 4),
columns=MultiIndex.from_tuples(zip('aabb', 'xyxy'))
).to_html()
```
generates
<table border="1">
<thead>
<tr>
<th><table><tbody><tr><td>a</td></tr><tr><td>x</td></tr></tbody></table></th>
<th><table><tbody><tr><td>a</td></tr><tr><td>y</td></tr></tbody></... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1054/events | https://github.com/pandas-dev/pandas/issues/1054 | 4,117,980 | MDU6SXNzdWU0MTE3OTgw | 1,054 | Implementing grouped stacked bar plot | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1055/events | https://github.com/pandas-dev/pandas/issues/1055 | 4,120,077 | MDU6SXNzdWU0MTIwMDc3 | 1,055 | statsmodels incompatibility | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1056/events | https://github.com/pandas-dev/pandas/pull/1056 | 4,120,095 | MDExOlB1bGxSZXF1ZXN0MTE2NTU2OQ== | 1,056 | A few minor tweaks to plotting | {
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ENH: boxplot can now take a Series (wrapped as columns 'x' in a DataFrame)
ENH: set xaxis and yaxis for empty subplots to invisible
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https://api.github.com/repos/pandas-dev/pandas/issues/1057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1057/events | https://github.com/pandas-dev/pandas/issues/1057 | 4,120,319 | MDU6SXNzdWU0MTIwMzE5 | 1,057 | Pure python apply broken with TimeGrouper | {
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In [12]: s.convert('D', how='count')
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/home/wesm/code/pandas/<ipython-input-12-52597b6f97c4> in <module>()
----> 1 s.convert('D', how='count')
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https://api.github.com/repos/pandas-dev/pandas/issues/1058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1058/events | https://github.com/pandas-dev/pandas/issues/1058 | 4,121,192 | MDU6SXNzdWU0MTIxMTky | 1,058 | What should Series scalars be when datetime dtype? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1059/events | https://github.com/pandas-dev/pandas/pull/1059 | 4,122,509 | MDExOlB1bGxSZXF1ZXN0MTE2NjM1Nw== | 1,059 | Kde plotting | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1061/events | https://github.com/pandas-dev/pandas/issues/1061 | 4,128,039 | MDU6SXNzdWU0MTI4MDM5 | 1,061 | Better error messages during build/import for NumPy < 1.6 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1062/events | https://github.com/pandas-dev/pandas/issues/1062 | 4,128,128 | MDU6SXNzdWU0MTI4MTI4 | 1,062 | KeyError raised out of DatetimeEngine formatted as int64 | {
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In [12]:
aapl[datetime(2011, 12, 7)]
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
/home/wesm/code/teaching/ga/<ipython-input-12-d32cb44b8294> in <module>()
----> 1 aapl[datetime(2011, 12, 7)]
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https://api.github.com/repos/pandas-dev/pandas/issues/1063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1063/events | https://github.com/pandas-dev/pandas/issues/1063 | 4,128,235 | MDU6SXNzdWU0MTI4MjM1 | 1,063 | Series.shift bugs, set default to periods=1 | {
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In [46]: ts[:5]
Out[46]:
2000-01-01 00:00:00 1.126328
2000-01-01 01:00:00 -1.551378
2000-01-01 02:00:00 -0.353657
2000-01-01 03:00:00 1.447303
2000-01-01 04:00:00 -0.423588
In [45]: ts[:5].shift(1, offset=pd.datetools.Hour(4))
/home/wesm/code/pandas/pandas/core/series.py:2517: FutureWarning: 'timeRule'... | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2012-04-16T10:58:16Z | 2012-04-23T17:46:38Z | 2012-04-23T17:46:20Z | NONE | null | x = DataFrame(np.arange(9).reshape(3,3))
x['test']=0
x['fl']= [1.3,1.5,1.6]
x.groupby('test').agg({'fl':'sum',2:'size'}).dtypes
Out[]:
2 int64
fl object
(version 0.8)
Output in 0.7.3
Out[]:
2 int64
fl float64
The output for x['test'] = [1,2,3] works fine
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https://api.github.com/repos/pandas-dev/pandas/issues/1066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1066/events | https://github.com/pandas-dev/pandas/issues/1066 | 4,134,056 | MDU6SXNzdWU0MTM0MDU2 | 1,066 | Master branch not building with Python 3 | {
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First, the compile failed because of the deprecated "basetring" used on line 48 of pandas/src/datetime.pyx.
After fixing that, pandas built, but failed when I tried to import it:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1067/events | https://github.com/pandas-dev/pandas/issues/1067 | 4,136,954 | MDU6SXNzdWU0MTM2OTU0 | 1,067 | Handling of nested JSON records | {
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Is there a simple way of grabbing nested keys when constructing a Pandas Dataframe from JSON. Using the example JSON from below, how would I build a Dataframe that uses this column_header = ['id_str', 'text', 'user.screen_name'], (i.e. how do I get the 'screen_name' from the 'user' key without flattening the JSON).... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1068/events | https://github.com/pandas-dev/pandas/issues/1068 | 4,142,024 | MDU6SXNzdWU0MTQyMDI0 | 1,068 | Partial date indexing off by one error | {
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In [47]: rets.ix['2000']
Out[47]:
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 261 entries, 2000-01-03 00:00:00 to 2001-01-01 00:00:00
Data columns:
AAPL 261 non-null values
GOOG 261 non-null values
MSFT 261 non-null values
dtypes: float64(3)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1069/events | https://github.com/pandas-dev/pandas/issues/1069 | 4,142,358 | MDU6SXNzdWU0MTQyMzU4 | 1,069 | bool() operation on DataFrame should throw ValueError | {
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```
>>> from pandas import *
>>> s = Series([1, 2, 3])
>>> bool(s)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueErro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1070/events | https://github.com/pandas-dev/pandas/pull/1070 | 4,147,340 | MDExOlB1bGxSZXF1ZXN0MTE3NjAxNQ== | 1,070 | fixing the error in io/sql.py | {
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"followers_url": "https://api.github.com/users/wesm/... | 5 | 2012-04-17T05:14:25Z | 2014-07-04T03:14:05Z | 2012-05-07T14:40:37Z | CONTRIBUTOR | null | Not able to find an testing module in for io/sql.py. And I don't have time to create one now. So I paste the testing code below, which can be added into pandas later on.
```
#!/usr/bin/env python
from pymysql import connect
from pandas.io.sql import read_frame
con = connect(host='genome-mysql.cse.ucsc.edu', user='ge... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1071/events | https://github.com/pandas-dev/pandas/issues/1071 | 4,153,105 | MDU6SXNzdWU0MTUzMTA1 | 1,071 | DataFrame does not work well with quantities | {
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"f... | 3 | 2012-04-17T13:46:33Z | 2015-12-05T19:29:09Z | 2015-12-05T19:29:09Z | CONTRIBUTOR | null | ``` python
from pandas import DataFrame
import quantities as pq
df = DataFrame([[pq.Quantity(i, pq.s)] for i in range(3)])
df[1:] - df[:-1]
```
raises: `ValueError: Unable to convert between units of "dimensionless" and "s"`
Note that the following works w/o error because pandas "strips" dimension:
``` python
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https://api.github.com/repos/pandas-dev/pandas/issues/1072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1072/events | https://github.com/pandas-dev/pandas/issues/1072 | 4,154,639 | MDU6SXNzdWU0MTU0NjM5 | 1,072 | pandas/core/series_flymake.py uploaded in pypi | {
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```
wget http://pypi.python.org/packages/source/p/pandas/pandas-0.7.3.tar.gz
tar tzf pandas-0.7.3.tar.gz | grep flymake
```
I don't mind but I happen to find it, so...
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https://api.github.com/repos/pandas-dev/pandas/issues/1073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1073/events | https://github.com/pandas-dev/pandas/pull/1073 | 4,158,089 | MDExOlB1bGxSZXF1ZXN0MTE4MDQwNg== | 1,073 | BUG Deprecating use of bool() on DataFrame, GH #1069 | {
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change causes DataFrame to raise a ValueError when called with bool(),
and instead provides a new property, dataframe.empty.
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https://api.github.com/repos/pandas-dev/pandas/issues/1074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1074/events | https://github.com/pandas-dev/pandas/issues/1074 | 4,174,022 | MDU6SXNzdWU0MTc0MDIy | 1,074 | Crash when combining columns containing NaNs | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2012-04-18T15:06:23Z | 2012-05-07T14:21:19Z | 2012-05-07T14:17:05Z | CONTRIBUTOR | null | Here's the code:
```
In [23]: d = DataFrame({'a': [np.nan, False], 'b': [True, True]})
In [24]: d['a'] | d['b']
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (1025, 0))
ERROR: An unexpected error occ... | {
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Searching for pandas
Reading http://pypi.python.org/simple/pandas/
Reading http://pandas.pydata.org
Reading http://pandas.sourceforge.net
Best match: pandas 0.7.3
Downloading http://pypi.python.org/packages/source/p/pandas/pandas-0.7.3.zip#md5=1c06999a379ee4b8765291bc1519bec9
Processing p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1076/events | https://github.com/pandas-dev/pandas/issues/1076 | 4,176,076 | MDU6SXNzdWU0MTc2MDc2 | 1,076 | Implement some kind of irregular DataFrame proxy data structure | {
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``````
With the following:
df # predefined
df['E'] = pandas.Series(0.)
for grp_name, grp_data in df.groupby(['C','D']):
# snipped code here; returns a scalar x that is dependent on
grp_data
grp_data['E'] = x # NB df['E'] not updated
I was wondering if... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1078/events | https://github.com/pandas-dev/pandas/issues/1078 | 4,178,288 | MDU6SXNzdWU0MTc4Mjg4 | 1,078 | A bug in HDFStore with MultiIndex | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-04-18T18:46:54Z | 2016-10-12T23:02:54Z | 2012-05-03T22:35:31Z | CONTRIBUTOR | null | ``` python
randn = np.random.randn
from pandas import *
index = MultiIndex.from_tuples([('a', 0), ('b', 'y')])
df = DataFrame(randn(3, 2), columns=index)
store = HDFStore('/tmp/testpandas.hdf5')
store['multi'] = df
```
raises `ValueError: invalid literal for long() with base 10: 'y'`
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https://api.github.com/repos/pandas-dev/pandas/issues/1079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1079/events | https://github.com/pandas-dev/pandas/issues/1079 | 4,180,102 | MDU6SXNzdWU0MTgwMTAy | 1,079 | Can't compare Dataframe to None | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-04-18T20:16:09Z | 2012-05-08T19:13:42Z | 2012-05-08T19:13:42Z | CONTRIBUTOR | null | > import pandas
> import numpy
> df = pandas.DataFrame(numpy.random.randn(8, 3), index=range(8),columns=['A', 'B', 'C'])
> None == df
raises: pandas.core.common.PandasError: DataFrame constructor not properly called!
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https://api.github.com/repos/pandas-dev/pandas/issues/1080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1080/events | https://github.com/pandas-dev/pandas/issues/1080 | 4,183,659 | MDU6SXNzdWU0MTgzNjU5 | 1,080 | Check/test partial time series indexing in non-monotonic time series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1081/events | https://github.com/pandas-dev/pandas/issues/1081 | 4,188,643 | MDU6SXNzdWU0MTg4NjQz | 1,081 | duplicated time series index entries after hdf5 store (dayligth saving time related) | {
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```
>> df
<class 'pandas.core.frame.DataFrame'>
Index: 596520 entries, 2006-04-14 00:00:00 to 2011-12-31 23:55:00
Data columns:
g_m_pyr__0 596520 non-null values
e_wr__0 596520 non-null values
p_nenn_sg__0 596520 non-null values
flaeche_sg__0 596520 non-null valu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1082/events | https://github.com/pandas-dev/pandas/issues/1082 | 4,194,354 | MDU6SXNzdWU0MTk0MzU0 | 1,082 | OpenSuse 12.1: install error......easy_install | {
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0.8.0 wont compile.
> python.h are there
> numpy dev are there.
error below.... any help?
pandas/src/tseries.c:125721:14: warning: variable ‘__pyx_bshape_0_left’ set but not used [-Wunused-but-set-variable]
pandas/src/tseries.c:125720:14: warning: variable ‘__pyx_bstride_0_left’ set but no... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1083/events | https://github.com/pandas-dev/pandas/issues/1083 | 4,195,622 | MDU6SXNzdWU0MTk1NjIy | 1,083 | DataFrame stores complex number as object sometimes | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-04-19T16:56:09Z | 2012-05-15T00:10:06Z | 2012-05-15T00:10:06Z | CONTRIBUTOR | null | ``` python
>>> DataFrame([[0.0 + 1j, 0.0 + 2j]]).values
array([[1j, 2j]], dtype=object)
>>> DataFrame([np.array([1j, 2j])]).values
array([[ 0.+1.j, 0.+2.j]])
```
I think these two examples should yield the same result.
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https://api.github.com/repos/pandas-dev/pandas/issues/1084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1084/events | https://github.com/pandas-dev/pandas/pull/1084 | 4,200,196 | MDExOlB1bGxSZXF1ZXN0MTE5ODM5MA== | 1,084 | datetime stuff on python 3 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1085/events | https://github.com/pandas-dev/pandas/issues/1085 | 4,201,988 | MDU6SXNzdWU0MjAxOTg4 | 1,085 | Empty string -> NaT in to_datetime | {
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In [8]: to_datetime('')
Out[8]: datetime.datetime(2012, 4, 19, 0, 0)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1089/events | https://github.com/pandas-dev/pandas/issues/1089 | 4,204,084 | MDU6SXNzdWU0MjA0MDg0 | 1,089 | Enable passing string + validation to tz field in DatetimeIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1090/events | https://github.com/pandas-dev/pandas/issues/1090 | 4,213,089 | MDU6SXNzdWU0MjEzMDg5 | 1,090 | negative variances | {
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It seems possible to have negative variances due to numerical inaccuracies. This is because nanops.py, line 120 does not take the absolute value of the result. Having negative values will cause std() to return NaN when it should be 0.
The code below should [probabilistically] recreate the problem. It could... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1091/events | https://github.com/pandas-dev/pandas/pull/1091 | 4,214,870 | MDExOlB1bGxSZXF1ZXN0MTIwNDY1OA== | 1,091 | BUG: _nanvar may return small negative if given a constant array | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1092/events | https://github.com/pandas-dev/pandas/issues/1092 | 4,216,608 | MDU6SXNzdWU0MjE2NjA4 | 1,092 | Trim scipy.stats dependencies | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1093/events | https://github.com/pandas-dev/pandas/issues/1093 | 4,216,697 | MDU6SXNzdWU0MjE2Njk3 | 1,093 | Add more flexible shift/roll functionality to DataFrame, esp axis=1 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1094/events | https://github.com/pandas-dev/pandas/issues/1094 | 4,217,456 | MDU6SXNzdWU0MjE3NDU2 | 1,094 | Add join argument to Series/DataFrame.add, etc. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1095/events | https://github.com/pandas-dev/pandas/issues/1095 | 4,217,724 | MDU6SXNzdWU0MjE3NzI0 | 1,095 | Better error message when date_range improperly specified | {
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```
======================================================================
ERROR: test_shift_multiple_of_same_base (__main__.TestLegacySupport)
----------------------------------------------------------------------
Traceback (most recent call last):
File "pandas/tests/test_timeseries.py", li... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1096/events | https://github.com/pandas-dev/pandas/issues/1096 | 4,217,788 | MDU6SXNzdWU0MjE3Nzg4 | 1,096 | Enable +/- ops to work between DatetimeIndex and DateOffset objects | {
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In [1]: index = DatetimeIndex(['1/1/2000', '1/2/2000'])
In [2]: index
Out[2]: DatetimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00], dtype=datetime64[us])
In [3]: index + datetools.Hour(2)
---------------------------------------------------------------------------
TypeError Trac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1097/events | https://github.com/pandas-dev/pandas/issues/1097 | 4,217,980 | MDU6SXNzdWU0MjE3OTgw | 1,097 | New methods in addition to decimation in asfreq? | {
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I can't find an existing ticket for this, hopefully I didn't miss it. If I understand correctly, asfreq currently only does decimation to change the frequency of a timeseries. I would like to suggest that we make this point more clear in the docstring and offer additional methods to aggregate values such as m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1098/events | https://github.com/pandas-dev/pandas/pull/1098 | 4,219,448 | MDExOlB1bGxSZXF1ZXN0MTIwNjgzMQ== | 1,098 | Better treatment for complex numbers | {
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"followers_url": "https://api.github.com/users/wesm/... | 5 | 2012-04-20T22:37:23Z | 2014-06-16T23:23:36Z | 2012-05-15T00:09:58Z | CONTRIBUTOR | null | This fixes #1083. I checked that the number of failing tests (SKIP=38, errors=5, failures=34) do not increase with these change sets.
BTW, in form_blocks why not simply do
``` python
if float_dict:
...
```
instead of calculating length?:
``` python
if len(float_dict):
...
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1099/events | https://github.com/pandas-dev/pandas/issues/1099 | 4,224,903 | MDU6SXNzdWU0MjI0OTAz | 1,099 | Reindexing DatetimeIndex with list/array of datetime.datetime | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1100/events | https://github.com/pandas-dev/pandas/issues/1100 | 4,227,095 | MDU6SXNzdWU0MjI3MDk1 | 1,100 | Datetime formatting for year < 1900 | {
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In [1]: rng = date_range('1/1/1800', '1/1/2000')
In [2]: rng
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
freq: <1 Day>, timezone: None
[1800-01-01 00:00:00, ..., 2000-01-01 00:00:00]
length: 73049
In [3]: ts = Series(randn(len(rng)), index=rng)
In [4]: ts
Out[4]: ---------------------------------------... | {
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