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building 'pandas._sandbox' extension
C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\Bin\amd64\cl.exe /c /nologo /Ox /MD /W3 /GS- /DNDEBUG -IC:\Python27\lib\site-packages\numpy\core\include -IC:\Python27\include -IC:\Python27\PC /Tcpandas\src\sandbox.c /Fob... | {
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If this is... | {
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I'm trying to read in a csv file with few header lines at the beginning of the file starting w/ a '#'. I tried to use skiprows specifying a list of the first n rows to skip as [0,1,2,3,..,n] but I keep getting Index has duplicates ['#'] error. Is this a bug or I'm doing something wrong? Also, will this be t... | {
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```
(lodagro_pandas)[1185][i] nosetests --with-progressive... | {
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In [5]: w=cPickle.load (open('w.pkl'))
In [6]: w.groupby( lambda k: k<=37 ).count()
Out[6]:
key_0
False 4397
True 16
In [7]: len(w[w <= 37])
Out[7]: 805
When I inspect the data, there are 805 elements that satisfy w<=37, so the groupby is not counting correctly and reports only 16.
Am I doing ... | {
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import numpy as np
from pandas import Series
s2 = Series({'A': np.float64(5.0), 'B': np.float64(0.0)})
print type(s2['A'])
(type 'float')
In 0.4.0, this returned numpy.float64. That seems more expected.
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import numpy as np
from pandas import Series
s = Series({'a' : None})
s['a'] = np.inf
cPickle.loads(cPickle.dumps(s))
ValueError: could not convert string to float
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https://api.github.com/repos/pandas-dev/pandas/issues/512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/512/events | https://github.com/pandas-dev/pandas/issues/512 | 2,616,710 | MDU6SXNzdWUyNjE2NzEw | 512 | HDFStore silently coerces number to string in 'where' clause but not in put | {
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"followers_url": "https://api.github.com/users/wesm/f... | 1 | 2011-12-20T19:02:14Z | 2012-12-28T15:08:05Z | 2012-12-28T15:08:05Z | NONE | null | Thanks for pandas! Once written, tables with numerical values in the index are unselectable. Perhaps either they should be coerced to string upon store.put, or alternately they should not be coerced in store.select:
``` python
store = HDFStore('test.h5')
store.put('test', DataFrame([0, 1, 2], [10, 11, 12], ['col1']), ... | {
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store = HDFStore('test.h5')
store.put('test', DataFrame([0, 1, 2], [datetime.utcnow(), datetime.utcnow(),datetime.utcnow(),], ['col1']), table=True)
store['test']
Duplicate entries in table, taking most recently appended
Out[50]:
col1
2011-12-20 19:20:19 2
```
This happens because ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/515/events | https://github.com/pandas-dev/pandas/pull/515 | 2,622,595 | MDExOlB1bGxSZXF1ZXN0NjE4MTMw | 515 | various HDFStore fixes regarding tables | {
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it sets the string length of strings in the index and columns for the table (rather than the previous behavior, which was to take the max string length from the longest index/column stri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/516/events | https://github.com/pandas-dev/pandas/issues/516 | 2,625,518 | MDU6SXNzdWUyNjI1NTE4 | 516 | pandas/io/sql.py default value of indexField | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2011-12-21T14:39:14Z | 2011-12-21T19:50:23Z | 2011-12-21T16:48:42Z | NONE | null | In pandas/io/sql.py, Could you change the default value of frame_query indexField from "Time" to None?
That way, queries are more likely to 'just work'.
Current: def frame_query(sql, con, indexField='Time')
Requested: def frame_query(sql, con, indexField=None)
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https://api.github.com/repos/pandas-dev/pandas/issues/517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/517/events | https://github.com/pandas-dev/pandas/issues/517 | 2,628,921 | MDU6SXNzdWUyNjI4OTIx | 517 | friendlier setup.py errors when numpy is missing. | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2011-12-21T19:59:06Z | 2013-12-04T00:43:44Z | 2012-01-06T05:59:33Z | CONTRIBUTOR | null | (I have a patch for this coming in, see if you like where it goes)
issues:
1) need numpy for dependency compilation
2) no easy way to tell `setup.py` to get `numpy` and work with it first. (or is there?)
3) `$ pip install numpy pandas` still isn't enough.
So the best I can do I give a friendlier message. Patc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/519 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/519/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/519/comments | https://api.github.com/repos/pandas-dev/pandas/issues/519/events | https://github.com/pandas-dev/pandas/issues/519 | 2,629,682 | MDU6SXNzdWUyNjI5Njgy | 519 | Filtering dataframe rows by inclusion in a set/list | {
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Ie:
```
beatles = people[people['name'] in ['ringo', 'john', 'paul', 'george']]
```
I can't seem to do this and would like to know the canonical way. kthxbye :)
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2011-12-21T21:43:35Z | 2012-01-04T16:13:54Z | 2012-01-04T16:13:54Z | CONTRIBUTOR | null | still need numpy for setup, but at least we get the right version of `python-dateutil`
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```
In [116]: df = pandas.DataFrame([[1,2], [3,4], [numpy.nan,numpy.nan], [7,8], [9,10]], columns=['a', 'b'], index=[100.0, 101.0, numpy.nan, 102.0, 103.0])
In [117]: print df
--------> print(df)
a b
100.0 1 2
101.0 3 4
nan NaN NaN
102.0 7 8
103.0 9 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/525/events | https://github.com/pandas-dev/pandas/issues/525 | 2,640,948 | MDU6SXNzdWUyNjQwOTQ4 | 525 | Panel.to_frame does not preserve index names | {
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Current behaviour:
In [215]: pandas.DataFrame([dict(a=1),dict(a=2)],columns=['a'])
Out[215]:
a
0 {'a': 1}
1 {'a': 2}
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`DataFrame.stack()` docstring mentions that method converts DataFrame to Series, and returns a Series. This is only the case when _columns_ has only one level. In case _columns_ has multiple levels, method returns a DataFrame.
`DataFrame.... | {
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Maybe the paragraph where i did this correction can be removed, it is very similar to paragraph **Swapping levels with swaplevel** a bit higher.
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It uses `MultiIndex.reorder_levels()`. Neither of them can work with levels referenced by key, in contrast to _swaplevel()_ method.
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2011-12-25T17:38:47Z | 2011-12-29T04:45:09Z | 2011-12-29T04:45:09Z | MEMBER | null | For, e.g., demeaning within a level, say, something like:
```
df.subtract(df.sum(level=0, broadcast=True))
```
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https://api.github.com/repos/pandas-dev/pandas/issues/543 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/543/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/543/comments | https://api.github.com/repos/pandas-dev/pandas/issues/543/events | https://github.com/pandas-dev/pandas/issues/543 | 2,656,604 | MDU6SXNzdWUyNjU2NjA0 | 543 | Craft API for 3D (Panel) <-> 2D (DataFrame) reshaping operations | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2011-12-26T03:28:09Z | 2018-07-06T20:20:59Z | 2016-09-29T22:10:36Z | MEMBER | null | cc @lodagro, moving further discussion here from the mailing list
```
Panel was my first idea to use, but i got stuck rather quickly :-) I am unfamiliar with to_long() and LongPanel,
What you suggested is definitely more pathonic (pandas way of doing).
Concerning 3D<->2D manipulations API. First thing i looked for in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/544 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/544/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/544/comments | https://api.github.com/repos/pandas-dev/pandas/issues/544/events | https://github.com/pandas-dev/pandas/issues/544 | 2,657,662 | MDU6SXNzdWUyNjU3NjYy | 544 | DOC basics: last ipython code example broke | {
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In [134]: set_eng_float_format(precision=3, use_eng_prefix=True)
## In [135]: df[0]/1.e3
KeyError Traceback (most recent call last)
/home/wesm/code/pandas/doc/<ipython-input-135-f536fd1de18b> in <module>()
----> 1 df[0]/1.e3
/home/wesm/code/pandas/pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/546 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/546/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/546/comments | https://api.github.com/repos/pandas-dev/pandas/issues/546/events | https://github.com/pandas-dev/pandas/issues/546 | 2,665,200 | MDU6SXNzdWUyNjY1MjAw | 546 | read_csv converters "Buffer dtyle mismatch" | {
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Here's my csv
```
"id","Time to Calculate"
1,"19:31:15"
2,"19:18:17"
3,"19:31:15"
4,"19:27:42"
5,"19:27:42"
6,"19:28:25"
7,"19:28:25"
8,"19:28:25"
9,"19:28:04"
10,"19:28:04"
11,"19:28:04"
12,"19:25:56... | {
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```
idx = Index(['a', 'b', 'c'])
midx = MultiIndex(levels=[['one', 'two'], ['a', 'b']], labels=[[0, 0, 1, 1], [0, 1, 0, 1]])
idx.join(midx, level=1)
```
Not totally trivial as would have to do a "remapping" of the labels for the level. But it's the most proper thing to do
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https://api.github.com/repos/pandas-dev/pandas/issues/548 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/548/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/548/comments | https://api.github.com/repos/pandas-dev/pandas/issues/548/events | https://github.com/pandas-dev/pandas/issues/548 | 2,666,204 | MDU6SXNzdWUyNjY2MjA0 | 548 | Series.corr failure | {
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```
from pandas import Series
import numpy as np
s1 = Series( index = range(3) , data = [np.NaN , np.NaN , np.NaN] )
s2 = Series( index = range(3) , data = [np.NaN , np.NaN , np.NaN] )
s2.corr(s1)
```
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"f... | 0 | 2011-12-27T22:41:51Z | 2018-11-10T18:02:30Z | 2018-11-10T18:02:30Z | MEMBER | null | Would result in some non-trivial speedups in places (like conversion of mixed-type DataFrame -> Panel)
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```
(Pdb) [x for x in group.ix]
*** KeyError: 0
(Pdb) len(group)
7
```
Element-wise iteration over the parent data frame works fine.
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https://api.github.com/repos/pandas-dev/pandas/issues/551 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/551/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/551/comments | https://api.github.com/repos/pandas-dev/pandas/issues/551/events | https://github.com/pandas-dev/pandas/issues/551 | 2,671,442 | MDU6SXNzdWUyNjcxNDQy | 551 | Setting elements with MultiIndex through ix can fail | {
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```
Hi, I am currently trying to access and change elements of a multiindexed DataFrame with .ix. This works on read but not on write:
In [342]: arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
In [343]: tuples = zip(*arrays... | {
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I am thinking about "JSON-Path", and other solutions for querying (and transforming) simple-ish nested data structures. (mostly to 'table-ize' them for R)
this is my straw attempt: https://gist.github.com/1529358
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Obviously nothing important here, just some syntactic sugar to facilitate interactive access.
thanks!
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https://api.github.com/repos/pandas-dev/pandas/issues/563 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/563/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/563/comments | https://api.github.com/repos/pandas-dev/pandas/issues/563/events | https://github.com/pandas-dev/pandas/pull/563 | 2,698,984 | MDExOlB1bGxSZXF1ZXN0NjQzMjMz | 563 | Add support for MaskedArray in Series constructor, with test | {
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https://api.github.com/repos/pandas-dev/pandas/issues/565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/565/events | https://github.com/pandas-dev/pandas/pull/565 | 2,705,549 | MDExOlB1bGxSZXF1ZXN0NjQ1MDg5 | 565 | More testcoverage - | {
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https://api.github.com/repos/pandas-dev/pandas/issues/566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/566/events | https://github.com/pandas-dev/pandas/issues/566 | 2,707,121 | MDU6SXNzdWUyNzA3MTIx | 566 | Optimize join-on-MultiIndex inner/outer join cases in merge | {
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https://api.github.com/repos/pandas-dev/pandas/issues/567 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/567/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/567/comments | https://api.github.com/repos/pandas-dev/pandas/issues/567/events | https://github.com/pandas-dev/pandas/issues/567 | 2,715,208 | MDU6SXNzdWUyNzE1MjA4 | 567 | Problem getting set difference OR isnotin | {
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```
inside = df[df['Col'].isin(good_vals)]
not_in = df - inside
```
I'm getting the following error:
```
File "sensor.py", line 572, in wrapped
not_in = df - inside
File "/home/mharrison/work/pandas/env/lib/python2.6/site-packages/pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/569 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/569/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/569/comments | https://api.github.com/repos/pandas-dev/pandas/issues/569/events | https://github.com/pandas-dev/pandas/pull/569 | 2,717,207 | MDExOlB1bGxSZXF1ZXN0NjQ4ODg3 | 569 | More release docs for v0.7 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/570/events | https://github.com/pandas-dev/pandas/issues/570 | 2,720,674 | MDU6SXNzdWUyNzIwNjc0 | 570 | Add index and header options to DataFrame.to_string() | {
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`DataFrame.to_csv()` have _index_ and _header_ argument, request is to add this functionality also to `DataFrame.to_string()`.
Maybe do this also for `DataFrame.to_html()`?
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Remove it, for user who need exact column width, how to do this nicely?
see also mailing list [discussion](https://groups.google.com/d/topic/pystatsmodels/XPuDEfFKU8U/discussion)
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https://api.github.com/repos/pandas-dev/pandas/issues/572 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/572/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/572/comments | https://api.github.com/repos/pandas-dev/pandas/issues/572/events | https://github.com/pandas-dev/pandas/pull/572 | 2,724,932 | MDExOlB1bGxSZXF1ZXN0NjUxNDg2 | 572 | more changes to setup.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/573 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/573/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/573/comments | https://api.github.com/repos/pandas-dev/pandas/issues/573/events | https://github.com/pandas-dev/pandas/issues/573 | 2,728,919 | MDU6SXNzdWUyNzI4OTE5 | 573 | flatten, multiIndex, agg, groupby | {
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```
aaa = subby.groupby(['fxVersion','operatingSystem','updateChannel'])['isCompatible'].agg(dict(sum=np.sum,pct=lambda x: 100*np.mean(x),count=lambda x: len(x)))
```
So far, this is the best I have:
```
pandas.DataFrame(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/574 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/574/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/574/comments | https://api.github.com/repos/pandas-dev/pandas/issues/574/events | https://github.com/pandas-dev/pandas/pull/574 | 2,729,604 | MDExOlB1bGxSZXF1ZXN0NjUzNDA4 | 574 | implemented description property | {
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This is a basic implementation of description and unit properties in DataFrame.
https://github.com/wesm/pandas/issues/39
I used dict to store both description and unit. I thought about using tuples but dict would be better if a user wants to modify individual descripition/unit.
One can directly access descript... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/575 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/575/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/575/comments | https://api.github.com/repos/pandas-dev/pandas/issues/575/events | https://github.com/pandas-dev/pandas/issues/575 | 2,738,585 | MDU6SXNzdWUyNzM4NTg1 | 575 | enh request: ``describe`` for Factor, string fields, etc | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-01-05T18:30:40Z | 2012-05-12T18:16:53Z | 2012-05-12T18:16:53Z | CONTRIBUTOR | null | I wonder if `Factor` and things that are Factor-coercible should have some of the methods that `collections.counter` items have (in particular, `most_common`).
The R `summary` output on such a thing is:
```
id
```
id1: 45577
id2: 16582
id3: 12446
(Other): 340115... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/576/events | https://github.com/pandas-dev/pandas/pull/576 | 2,738,797 | MDExOlB1bGxSZXF1ZXN0NjU2NzUz | 576 | ENH: closing issues #395, #449, #570, #571 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/577/events | https://github.com/pandas-dev/pandas/issues/577 | 2,739,524 | MDU6SXNzdWUyNzM5NTI0 | 577 | enh: api cleanup... tostring, to_string, to_html, etc. | {
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Maybe it's worth taking a look through them and regularising.
Fwiw, I prefer `tostring` vs. `to_string`
Also, would be nice to have `tohtml` on things, though expanding it is beyond the scope of this.
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https://api.github.com/repos/pandas-dev/pandas/issues/578 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/578/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/578/comments | https://api.github.com/repos/pandas-dev/pandas/issues/578/events | https://github.com/pandas-dev/pandas/pull/578 | 2,741,480 | MDExOlB1bGxSZXF1ZXN0NjU3ODA4 | 578 | ENH: setup.py fixes incorporating PR #572 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/579/events | https://github.com/pandas-dev/pandas/issues/579 | 2,741,540 | MDU6SXNzdWUyNzQxNTQw | 579 | apply over groups api for DataFrames | {
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```
dfext.head(10).groupby(['id','name']).apply(lambda g: DataFrame({'i':[g.isCompatible.sum()],}).ix[0])
```
to get a 'select' over multiple variables seems wrong/fragile/complex.
I know we are busy here trying to reinvent sql badly, but maybe this should get sugar:
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https://api.github.com/repos/pandas-dev/pandas/issues/580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/580/events | https://github.com/pandas-dev/pandas/pull/580 | 2,743,717 | MDExOlB1bGxSZXF1ZXN0NjU4Njcy | 580 | closing tag of 'tbody' was 'body' | {
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https://api.github.com/repos/pandas-dev/pandas/issues/581 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/581/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/581/comments | https://api.github.com/repos/pandas-dev/pandas/issues/581/events | https://github.com/pandas-dev/pandas/issues/581 | 2,748,039 | MDU6SXNzdWUyNzQ4MDM5 | 581 | New numeric display adds sometimes unwanted trailing zeros | {
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One should also be careful when adding trailing zeros. In the example below, pi is represented up to the default precision of three and trailing zeros are added. I'm not in favor of this. To write pi=3.142 is ok, pi=3.1420000 is not ok.
``` python
In [3]: df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/583 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/583/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/583/comments | https://api.github.com/repos/pandas-dev/pandas/issues/583/events | https://github.com/pandas-dev/pandas/issues/583 | 2,751,462 | MDU6SXNzdWUyNzUxNDYy | 583 | Converter returning string passed to read_csv causes exception | {
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```
data = """Id;Number1;Number2;Text1;Text2;Number3
1;1521,1541;187101,9543;ABC;poi;4,738797819
2;121,12;14897,76;DEF;uyt;0,377320872
3;878,158;108013,434;GHI;rez;2,735694704"""
f = lambda x : x.replace(",", ".")
converter = {'Number1':f,'Number2':f, 'Number3':f}
df2 = rea... | {
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```
In file included from pandas/src/tseries.c:258:0: pandas/src/skiplist.h:31:28: error: redefinition of ‘__npy_nanf' /usr/local/lib/python2.7/site-packages/numpy/core/include/numpy/npy_math.h:19:25: note: previous definition of ‘__npy_n... | {
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``` python
In [1]: import pandas
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<...>/<ipython-input-1-d6ac987968b6> in <module>()
----> 1 import pandas
<...>/lib/p... | {
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```
D E F
count 3.00000 3.000000 3.00000
mean 0.45674 0.522317 0.15975
std 1.41366 1.268866 0.95044
min -1.02552 -0.414997 -0.77343
25% -0.20989 -0.199634 -0.32366
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building 'pandas._sandbox' extension
C:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\link.exe /DLL /nologo /INCREMENTAL:NO /LIBPATH:C:\Python26\libs /LIBPATH:C:\Python26\PCbuild /EXPORT:init_sa
ndbox build\temp.win32-2.6\Release\pandas\src\sandbox.obj /OUT:build\lib.win32-2.6\pandas\_sandbox.pyd /IMPLIB:b... | {
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pandas\src\sandbox.c: At top level:
C:\Python26\lib\site-packages\numpy\core\include/numpy/__ufunc_api.h:196:1: warn
ing: '_import_umath' defined but not used
writing build\temp.win32-2.6\Release\pandas\src_sandb... | {
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