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https://api.github.com/repos/pandas-dev/pandas/issues/2401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2401/events | https://github.com/pandas-dev/pandas/pull/2401 | 8,884,939 | MDExOlB1bGxSZXF1ZXN0MzE5ODMxMw== | 2,401 | Pytables support for hierarchical keys | {
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support for keys of the form: foo/bar/bah
includes docs & tests
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] | closed | false | null | [] | null | 3 | 2012-12-01T21:58:20Z | 2012-12-02T00:27:14Z | 2012-12-02T00:27:14Z | NONE | null | I have installed pandas with pip, which seemed to go okay, but when i import it in a python session i get the following error:
> > > import pandas
> > > cannot import name Series
> > > Traceback (most recent call last):
> > > File "<stdin>", line 1, in <module>
> > > File "/Library/Python/2.7/site-packages/pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2403/events | https://github.com/pandas-dev/pandas/issues/2403 | 8,906,315 | MDU6SXNzdWU4OTA2MzE1 | 2,403 | BUG: Consolidate not converting datetimes? | {
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on 0.10 dev
```
import pandas
import pandas.util.testing as tm
from pandas import Timestamp
df = tm.makeDataFrame()
df['obj1'] = 'foo'
df['obj2'] = 'bar'
df['bool1'] = df['A'] > 0
df['bool2'] = df['B'] > 0
df['bool3'] = True
df['int1'] = 1
df['int2'] = 2
df... | {
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```
In [5]: timeit pandas.tseries.tools.dateutil_parse('20000104', datetime(1, 1, 1))
10000 loops, best of 3: 76.6 us per loop
```
Testing should be higher, at the `parse_time_string` level
Time spent mostly in dateutil:
```
In [8]: timeit dateutil.parser.parse('20000104... | {
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Both README.rst and the docs
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added boolean comparison methods to panel.py (didn't exist before)
all tests pass
need to update the link to dsintro-panel4d section in the whatsnew docs....
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- Added testing for 3.3 (with numpy 1.7b2).
- Prints version strings for all installed components.
- added FULL_DEPS build for 2.7 and 3.2, which includes
scipy and matplotlib tests.
- Made the log less verbose.
- Travis now shows an "env" columnn.
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https://api.github.com/repos/pandas-dev/pandas/issues/2413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2413/events | https://github.com/pandas-dev/pandas/pull/2413 | 8,957,757 | MDExOlB1bGxSZXF1ZXN0MzIxNDQ5Mg== | 2,413 | ENH: args for strip/lstrip/rstrip #2411 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2414/events | https://github.com/pandas-dev/pandas/issues/2414 | 8,958,185 | MDU6SXNzdWU4OTU4MTg1 | 2,414 | CLN: move generic code to NDFrame | {
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lots of parts of align
comparison ops,
parts of apply (and put special cases in the sub-classes)
pop
align & where
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```
In [3]: url = 'http://brianckeegan.com/data/candidates-spanish.txt'
In [4]: pd.read_table(url, sep='\t', encoding='utf-16')
Segmentation fault: 11 (core dumped)
```
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I believe this will be mostly remedied when the equivalent of the `range-index` branch is merged.
```
import pandas as pd
import numpy as np
import datetime as dt
import matplotlib.cbook as mc
import inspect
print 'pandas', pd.__version_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2421/events | https://github.com/pandas-dev/pandas/issues/2421 | 8,968,983 | MDU6SXNzdWU4OTY4OTgz | 2,421 | fmt.set_eng_float_format doesn't use the new core.config module | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2422/events | https://github.com/pandas-dev/pandas/issues/2422 | 8,970,810 | MDU6SXNzdWU4OTcwODEw | 2,422 | what does print_config.digits do? | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-12-04T01:33:23Z | 2014-06-26T15:04:44Z | 2012-12-06T02:37:29Z | NONE | null | I'm documenting the existing options in the former print_config, and `digits`
is undocumented, nor have I found any use of it anywhere in the code.
Anyone know why it's there and if there's a reason not to chuck it?
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https://api.github.com/repos/pandas-dev/pandas/issues/2423 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2423/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2423/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2423/events | https://github.com/pandas-dev/pandas/issues/2423 | 8,972,989 | MDU6SXNzdWU4OTcyOTg5 | 2,423 | BUG/TST: Panel4d comparison operator | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-12-04T03:57:07Z | 2012-12-04T04:50:34Z | 2012-12-04T04:50:34Z | NONE | null | pandas.tests.test_panel4d:TestPanel4d. test_setitem fails on 3.x with
``` python
Traceback (most recent call last):
File "/home/travis/virtualenv/python3.1/lib/python3.1/site-packages/pandas-0.10.0.dev_1b7ceed-py3.1-linux-i686.egg/pandas/tests/test_panel4d.py", line 368, in test_setitem
self.panel4d['lP'] = self.pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2424/events | https://github.com/pandas-dev/pandas/issues/2424 | 8,983,665 | MDU6SXNzdWU4OTgzNjY1 | 2,424 | tests_parsers should skip bz2 tests if not installed | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-12-04T13:30:15Z | 2012-12-09T22:41:49Z | 2012-12-09T22:41:49Z | CONTRIBUTOR | null | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2425/events | https://github.com/pandas-dev/pandas/issues/2425 | 8,990,807 | MDU6SXNzdWU4OTkwODA3 | 2,425 | Allow level wildcard via slice(None) in df.ix[] with MultiIndex | {
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arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
tuples = zip(*arrays)
index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second'])
df = DataFrame(randn(3, 8), index=['A', 'B', 'C'], columns=index)
df = df.T
```
The following works... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2427/events | https://github.com/pandas-dev/pandas/issues/2427 | 8,995,335 | MDU6SXNzdWU4OTk1MzM1 | 2,427 | Potential bug resulting in MemoryError | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2429 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2429/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2429/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2429/events | https://github.com/pandas-dev/pandas/pull/2429 | 9,001,363 | MDExOlB1bGxSZXF1ZXN0MzIzNjU0OA== | 2,429 | Update to gotchas page for indexing | {
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gotcha using the reindex_like functionality.
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Pandas Version: 0.10.0.dev-e80d24e
I get the following error when reading a CSV file that was previously correctly read with the old Pandas 0.09 read_csv() code.
CParserError: Error tokenizing data. C error: Expected 41 fields in line 7123, saw 40
Looks like the tokenizer will fail if it encounters a line with ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2431 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2431/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2431/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2431/events | https://github.com/pandas-dev/pandas/issues/2431 | 9,004,763 | MDU6SXNzdWU5MDA0NzYz | 2,431 | pd.save/load does not recreate some dataframe attributes | {
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on a pickled data frame I loaded back i, It died with an `AttributeError`
on `self._known_consolidated`.
``` python
df = pd.DataFrame( [[1,2]])
df.save("/tmp/1.pickle")
print df._data._known_consolidated
df2=df.load("/tmp/1.pickle")
print df2._data._know... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2432/events | https://github.com/pandas-dev/pandas/pull/2432 | 9,006,321 | MDExOlB1bGxSZXF1ZXN0MzIzOTA5Mg== | 2,432 | Fix issue compiling with MSVC9 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2433/events | https://github.com/pandas-dev/pandas/issues/2433 | 9,006,541 | MDU6SXNzdWU5MDA2NTQx | 2,433 | FR: add a skipna option to pd.merge df.join, etc' | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2434/events | https://github.com/pandas-dev/pandas/issues/2434 | 9,027,591 | MDU6SXNzdWU5MDI3NTkx | 2,434 | Propogating null values on comparison operations | {
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"followers_url": "https://api.github.com/users/jorisva... | 8 | 2012-12-05T17:53:20Z | 2020-03-23T08:45:22Z | 2020-03-23T08:45:22Z | NONE | null | I noticed that when using a boolean comparison operator on a column with null values, Pandas does not propogate the null values to the result. For example, if I do the following:
```
df.foo > 0
```
the resulting series includes False entries where there were missing values in `foo`.
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https://api.github.com/repos/pandas-dev/pandas/issues/2435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2435/events | https://github.com/pandas-dev/pandas/issues/2435 | 9,034,386 | MDU6SXNzdWU5MDM0Mzg2 | 2,435 | index get_loc getting called on construction / major slowdown | {
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get_loc in tseries/index.py is getting called a lot more than necessary, and its fairly slow given the attempts at converting strings to dates in the exception handler. if you breakpoint get_loc and try things like truncate with a datetime range, calling as_matrix, or even just pulling slices, you'll... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2436/events | https://github.com/pandas-dev/pandas/pull/2436 | 9,040,518 | MDExOlB1bGxSZXF1ZXN0MzI1NjEwNQ== | 2,436 | repr for wider DataFrames | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-12-06T01:22:47Z | 2014-06-14T05:45:22Z | 2012-12-07T23:09:01Z | CONTRIBUTOR | null | by default no effect,
set_option('print.expand_frame_repr', True) to have it print out wider DataFrames instead of just info repr.
by default uses 80 characters as the width of the line and can be set like set_option('print.line_width', 120)
also adds set_option('test.interactive', False) option for testing purposes... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2437/events | https://github.com/pandas-dev/pandas/issues/2437 | 9,051,292 | MDU6SXNzdWU5MDUxMjky | 2,437 | Partial indexing only valid for ordered time series | {
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"followers_url": "https://api.github.com/users/wesm/... | 5 | 2012-12-06T12:09:25Z | 2014-11-20T16:45:49Z | 2013-03-22T14:58:02Z | CONTRIBUTOR | null | This was mentioned on [StackOverflow](http://stackoverflow.com/questions/13737992/indexing-timeseries-by-date-string), I thought I ought to post it here. I'm not sure whether or not this is a bug:
You can select by a date string in an ordered tseries, but not in an ordered one:
```
import pandas as pd
from numpy.rand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2438/events | https://github.com/pandas-dev/pandas/issues/2438 | 9,054,525 | MDU6SXNzdWU5MDU0NTI1 | 2,438 | Certain slices of Series can cause problems with matplotlib boxplot | {
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"f... | 5 | 2012-12-06T14:07:40Z | 2014-06-08T12:04:07Z | 2014-06-08T01:40:08Z | NONE | null | We just encountered a problem when boxplotting a slice of a Series that does not contain the first element (i.e., the element with index 0). Here is an example:
``` python
plt.boxplot(pd.Series([1,2,3,4])[1:])
```
Which gives the following output:
```
-----------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2439/events | https://github.com/pandas-dev/pandas/issues/2439 | 9,057,656 | MDU6SXNzdWU5MDU3NjU2 | 2,439 | Building the library fails : ''pandas/index.c: No such file or directory" | {
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```
> python setup.py build_ext --inplace
running build_ext
building 'pandas.index' extension
gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/home/spiq/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2440/events | https://github.com/pandas-dev/pandas/issues/2440 | 9,059,054 | MDU6SXNzdWU5MDU5MDU0 | 2,440 | Underlying support code of Dataframe is not thread safe | {
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"f... | 12 | 2012-12-06T16:26:59Z | 2018-04-23T10:20:41Z | 2018-04-23T10:20:41Z | NONE | null | Hello,
I've run into a nasty bug as I try to work with dataframes and threads.
The problem is that one thread modifies a local dataframe by removing a column but in doing so somehow corrupts the dataframe of the other thread.
My input data is a dataframe of multiple data types (float and integer in the example). Th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2441 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2441/events | https://github.com/pandas-dev/pandas/issues/2441 | 9,067,687 | MDU6SXNzdWU5MDY3Njg3 | 2,441 | Corrupted values in Panel when index is not unique | {
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from StringIO import StringIO
txt = """time,id,value
2012-10-20,1,1.5
2012-10-20,1,2.5
2012-10-21,1,1.5
"""
xxx = pd.read_csv(StringIO(txt), parse_dates=0)
print(xxx.set_index(["time"])[xxx.id == 1])
print(xxx.set_index(["time", "id"]).to_panel().value)
It prints out:
id value
time
2... | {
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`result = Timestamp('2002-06-28T01:00:00.000000000+0100')`
from http://stackoverflow.com/questions/13703720/converting-between-datetime-timestamp-and-datetime64
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"f... | 1 | 2012-12-06T22:49:15Z | 2014-05-28T22:53:39Z | 2014-05-28T22:53:39Z | MEMBER | null | This was interesting: http://stackoverflow.com/questions/13675749/resample-searies-dataframe-with-frequency-anchored-to-specific-time
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import pandas as pd
df = pd.DataFrame([tuple([i for i in range(200)]) for i in range(10000)], columns=["%s" % i for i in range(200)])
df.to_excel('test.xls')
python testlarge.py ⏎
Traceback (most recent call last):
File "testlarge.py", l... | {
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Version 0.9.1
Simple code to... | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-12-07T17:46:50Z | 2012-12-07T21:05:26Z | 2012-12-07T21:05:26Z | CONTRIBUTOR | null | I was wondering if it was possible to elegantly extract the values of a MultiIndex which contains dates as datetime (and not an ndarray of datetime64[ns] which screws things up)?
```
>>> print df
numtrades
date id
2012-01-03 11891 1
14259 2
2012-01-05... | {
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related to #3794
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https://api.github.com/repos/pandas-dev/pandas/issues/2453 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2453/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2453/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2453/events | https://github.com/pandas-dev/pandas/issues/2453 | 9,104,947 | MDU6SXNzdWU5MTA0OTQ3 | 2,453 | Data corruption in DataFrame when creating new columns while iterating over the index | {
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I am using pandas 0.9.0
``` python
df = pd.DataFrame(index=[0,1])
df[0] = nan
wasCol = {}
# uncommenting these... | {
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moved some api changes docs to the proper place
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``` python
ohlc = OrderedDict()
ohlc['open'] = 'first'
ohlc['high'] = 'max'
ohlc['low'] = 'min'
ohlc['close'] = 'last'
gdf = grouped.agg(ohlc)
```
come out with the proper column order.
core/groupby.py
``` python
1593 else: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2456 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2456/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2456/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2456/events | https://github.com/pandas-dev/pandas/pull/2456 | 9,113,114 | MDExOlB1bGxSZXF1ZXN0MzI5MTMwMA== | 2,456 | DataFrame ctor should respect col ordering in OrderedDict | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2457 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2457/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2457/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2457/events | https://github.com/pandas-dev/pandas/issues/2457 | 9,113,288 | MDU6SXNzdWU5MTEzMjg4 | 2,457 | Easy specification of different line terminators in parsers | {
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ref: http://stackoverflow.com/questions/13779308/how-to-parse-delimited-data-in-python-pandas-to-create-dataframe
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https://api.github.com/repos/pandas-dev/pandas/issues/2458 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2458/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2458/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2458/events | https://github.com/pandas-dev/pandas/issues/2458 | 9,116,470 | MDU6SXNzdWU5MTE2NDcw | 2,458 | umlauts in dataframe cannot be displayed in ipython notebook | {
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``` python
import pandas
data2 = [u"test", u"ß", u"ä", u"á"]
df2 = pandas.DataFrame({"a":data2})
print(df2["a"][1])
df2
```
```
ß
---------------------------------------------------------------------------
UnicodeDecodeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2459/events | https://github.com/pandas-dev/pandas/issues/2459 | 9,116,992 | MDU6SXNzdWU5MTE2OTky | 2,459 | read_csv with names arg not implicitly setting header=None | {
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>>> pandas.read_csv(StringIO('1,2'), names=['a', 'b'])
Empty DataFrame
Columns: [a, b]
Index: []
>>> pandas.read_csv(StringIO('1,2'), names=['a', 'b'], header=None)
a b
0 1 2
```
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https://api.github.com/repos/pandas-dev/pandas/issues/2460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2460/events | https://github.com/pandas-dev/pandas/issues/2460 | 9,118,488 | MDU6SXNzdWU5MTE4NDg4 | 2,460 | ENH: df.grep(col,pat) and df.dselect(col,"expr") | {
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a Dataframe method? especially with method chaining I would find this
useful. Will add handling for datatypes and so on.
``` ipython
In [32]: from pandas.util.testing import makeCustomDataframe as mkdf
In [33]: def grep(df,col,pat):
...: vals... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2461/events | https://github.com/pandas-dev/pandas/issues/2461 | 9,118,938 | MDU6SXNzdWU5MTE4OTM4 | 2,461 | Index is not hashable | {
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"f... | 10 | 2012-12-09T09:24:40Z | 2016-10-12T23:03:23Z | 2014-01-10T12:24:30Z | NONE | null | ``` python
hash(df.index)
> /home/user1/src/pandas/pandas/core/index.py(346)__hash__()
345 def __hash__(self):
--> 346 return hash(self.view(np.ndarray))
347
/home/user1/src/pandas/pandas/core/index.pyc in __hash__(self)
344
345 def __hash__(self):
--> 346 return hash(self.vie... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2462 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2462/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2462/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2462/events | https://github.com/pandas-dev/pandas/issues/2462 | 9,118,995 | MDU6SXNzdWU5MTE4OTk1 | 2,462 | New parser is not mentioned in release notes for 0.10 | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-12-09T09:36:21Z | 2012-12-09T16:43:42Z | 2012-12-09T16:43:42Z | NONE | null | The c-parser branch was merged in, however I don't see anything about this in the release notes.
Did I miss it?
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https://api.github.com/repos/pandas-dev/pandas/issues/2463 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2463/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2463/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2463/events | https://github.com/pandas-dev/pandas/issues/2463 | 9,119,526 | MDU6SXNzdWU5MTE5NTI2 | 2,463 | DataFrame division results inaccurate | {
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```
2011, 1, 10, 1000000
2011, 1, 11, 998785
2011, 1, 12, 1002940
2011, 1, 13, 1004815
2011, 1, 14, 1009415
...
2011, 12, 14, 1115020
2011, 12, 15, 1113532
2011, 12, 16, 1116016
2011, 12, 19, 1117444
2011, 12, 20, 1133860
```
read in via `numpy.loadtxt(...)` and converte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2464/events | https://github.com/pandas-dev/pandas/issues/2464 | 9,120,896 | MDU6SXNzdWU5MTIwODk2 | 2,464 | filter with like keyword fails when column names contain integers | {
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"followers_url": "https://api.github.com/users/wesm/... | 0 | 2012-12-09T15:09:15Z | 2012-12-12T15:56:04Z | 2012-12-12T15:56:04Z | CONTRIBUTOR | null | Here is a small example:
<pre>
In [58]:
df = pd.DataFrame(0., index=[0,1,2], columns=[0,1,'A','B'])
df.filter(like='A')
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-58-123fe8a23e8b> in <module>()
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https://api.github.com/repos/pandas-dev/pandas/issues/2465 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2465/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2465/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2465/events | https://github.com/pandas-dev/pandas/issues/2465 | 9,121,457 | MDU6SXNzdWU5MTIxNDU3 | 2,465 | Usecols fails when actual column names are used, but passed in names argument | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2466/events | https://github.com/pandas-dev/pandas/issues/2466 | 9,121,501 | MDU6SXNzdWU5MTIxNTAx | 2,466 | Expose decimal option in C parser | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2467 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2467/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2467/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2467/events | https://github.com/pandas-dev/pandas/pull/2467 | 9,121,741 | MDExOlB1bGxSZXF1ZXN0MzI5NDMxNQ== | 2,467 | BUG: DataFrame.filter(like=*) should treat non-string values as strings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2468/events | https://github.com/pandas-dev/pandas/pull/2468 | 9,130,662 | MDExOlB1bGxSZXF1ZXN0MzI5NzU3OA== | 2,468 | BUG: DataFrame.reset_index loses timezone information | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2469 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2469/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2469/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2469/events | https://github.com/pandas-dev/pandas/issues/2469 | 9,132,528 | MDU6SXNzdWU5MTMyNTI4 | 2,469 | Hourly Frequency Business Days | {
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i) hourly frequency for business days
ii) a given start and end time to that day
For the first part, using
bdate_range(startdate,enddate,freq='h')
doesn't do the right thing. Using 'freq=h' overrides the business da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2470/events | https://github.com/pandas-dev/pandas/pull/2470 | 9,144,907 | MDExOlB1bGxSZXF1ZXN0MzMwMjk2MA== | 2,470 | BUG: DatetimeIndex.append does not preserve timezone #2260 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2471 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2471/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2471/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2471/events | https://github.com/pandas-dev/pandas/issues/2471 | 9,146,144 | MDU6SXNzdWU5MTQ2MTQ0 | 2,471 | Timestamp.to_datetime fails with tzoffset objects | {
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```
In [8]: df2['ts'][0].to_datetime()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-8-0663d65dd92c> in <module>()
----> 1 df2['ts'][0].to_datetime()
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https://api.github.com/repos/pandas-dev/pandas/issues/2472 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2472/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2472/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2472/events | https://github.com/pandas-dev/pandas/issues/2472 | 9,146,459 | MDU6SXNzdWU5MTQ2NDU5 | 2,472 | read in a csv column as object fails | {
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```
authors = pandas.read_csv(csv_authors, encoding="iso-8859-15", converters={'author_id': object})
```
But it fails with thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2473 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2473/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2473/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2473/events | https://github.com/pandas-dev/pandas/pull/2473 | 9,146,728 | MDExOlB1bGxSZXF1ZXN0MzMwMzQwOA== | 2,473 | ENH: minor code refactoring to support sub-classes better (in Panel) | {
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update/keys methods corrected for sub-classess
more tests
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```
In [1]: x = pd.DataFrame(index=["a"])
In [2]: x
Out[2]:
Empty DataFrame
Columns: array([], dtype=object)
Index: array([a],... | {
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- inf_as_na API change
- Google Analytics API example
- DONE Any additional C Parser notes etc
- Excel?
- DONE options API? @y-p
- plotting bugs
- scatter and grouped hist
- DONE wide frame repr
- PeriodIndex fixes
- groupby memory optimization
- DONE Resample API change !!!
- DONE cen... | {
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several corner-cases and ambiguity when the files were read back in.
f0aa065 was a stopgap measure to roll back the functionality so 0.10 was not delayed.
The enhancements should be brought back in 0.11, enahnced with parsing of
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indexable in the object, e.g. 'index' for DataFrame, or 'major_axis'/'minor_axis' for Panel
- fixes an issue if we want to support say a 'column' oriented Table
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store with a 'column' indexabl... | {
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Term: only allow term querys that have matching axes
e.g. index/columns supported for DataFrames, items,major_axis,minor_axis for Panels
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"f... | 84 | 2012-12-11T06:21:40Z | 2020-04-03T04:48:58Z | 2020-04-03T04:48:57Z | NONE | null | related:
https://github.com/pydata/pandas/issues/39 (column descriptions)
https://github.com/pydata/pandas/issues/686 (serialization concerns)
https://github.com/pydata/pandas/issues/447#issuecomment-11152782 (Feature request, implementation variant)
Ideas and issues:
- is pickle stable enough?
- serialization req. po... | {
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``` python
In [69]: from pandas.util.testing import makeCustomDataframe as mkdf
...: mkdf(4,2,r_idx_nlevels=1).set_index("C_l0_g0",append=True,drop=False)
Out[69]:
C0 C_l0_g0 C_l0_g1
R0 C_l0_g0
R_l0_g0 R0C0 R... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2487 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2487/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2487/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2487/events | https://github.com/pandas-dev/pandas/issues/2487 | 9,172,094 | MDU6SXNzdWU5MTcyMDk0 | 2,487 | return type of predicate in select is too strict? | {
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notably python3 is much less cavalier about coercing things to bool.
``` python
In [75]: from pandas.util.testing import makeCustomDataframe as mkdf
...: mkdf(4,2,r_idx_nlevels=2).select(lambda x: bool(re.search("g1",x[0])))
Out[75]:
C0 ... | {
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the exception could be nicer (sort ambiguous because of duplicate column or similar) or it could sort by the first? column with this name (although this would not be nice in case the column is not duplicate but has in fact different content with the same name and the us... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2489/events | https://github.com/pandas-dev/pandas/issues/2489 | 9,175,211 | MDU6SXNzdWU5MTc1MjEx | 2,489 | Loosing series names, when concatenating into DataFrame | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-12-11T10:35:11Z | 2012-12-14T04:27:26Z | 2012-12-14T04:27:26Z | NONE | null | In the version 9.1, when we are concatenating pandas.Series, we would expect the columns name of the created DataFrame to be the ones of the Series which were concatenated together. Nevertheless the series' names are lost, and the columns are simply 0, 1, 2 ...
Error shown below:
``` python
pd.__version__
Out[14]: '0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2490/events | https://github.com/pandas-dev/pandas/issues/2490 | 9,182,585 | MDU6SXNzdWU5MTgyNTg1 | 2,490 | failing test_moments after centered moving window introduced | {
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FAIL: test_rolling_std (pandas.stats.tests.test_moments.TestMoments)
FAIL: test_rolling_sum (pandas.stats.tests.test_moments.TestMoments)
FAIL: test_rolling_kurt (pandas.stats.tests.test_moments.TestMoments)
FAIL: test_rolling_max (pandas.stats.tests.test_moments.TestMoments)
and relate... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2492 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2492/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2492/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2492/events | https://github.com/pandas-dev/pandas/pull/2492 | 9,188,553 | MDExOlB1bGxSZXF1ZXN0MzMyMzY2OQ== | 2,492 | more pprint escaping | {
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related #2368
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Related #2488
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``` python
a = np.random.rand(10)*pq.s
b = np.random.rand(10)*pq.A
df = pd.DataFrame({'current':b, 't':a}, columns=['t','current'])
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> > > a={'hi': [32, 3, 3], 'there': [3, 5, 3]}
> > >
> > > df=DataFrame.from_dict(a)
> > >
> > > df2=DataFrame.from_dict(a, orient='index')
> > > Traceback (most recent call la... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2497/events | https://github.com/pandas-dev/pandas/pull/2497 | 9,204,759 | MDExOlB1bGxSZXF1ZXN0MzMzMTYwNg== | 2,497 | ENH: ndim tables in HDFStore (allow indexables to be passed in) | {
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- ENH: allow passing of numeric or named axes (e.g. 0 or 'minor_axis') in axes
- BUG: create_axes now checks for current table scheme; raises if this indexing scheme is violated
- TST: added many p4d tests for appending/selection/partial selection/and axis ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2498 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2498/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2498/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2498/events | https://github.com/pandas-dev/pandas/pull/2498 | 9,207,295 | MDExOlB1bGxSZXF1ZXN0MzMzMjc5OA== | 2,498 | CLN: remove new has_index_names argument from ExcelFile.parse() before rls | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2499/events | https://github.com/pandas-dev/pandas/issues/2499 | 9,207,710 | MDU6SXNzdWU5MjA3NzEw | 2,499 | is pytz a hard dep? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2500/events | https://github.com/pandas-dev/pandas/pull/2500 | 9,208,541 | MDExOlB1bGxSZXF1ZXN0MzMzMzMxOQ== | 2,500 | BLD: travis deps (stats,timeseries, pytables on py2.x), clean setup.py, nose tricks | {
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were previously skipped due to no scikit.timeseries on travis.
I picked the current statsmodels 0.5 git master commit hash as the
version to be installed, since pypi 0.5.0-beta raises a failing test in WLS
see http://nose.readthedocs.o... | {
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