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- [x] handle urls with context managers
- [x] get rid of `Exception` and use appropriate exception types
- [x] pep8
- [x] remove redundant parens in conditionals
- [x] remove `\` style line joins
- [x] `range` -> `xrange`
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closes #3982
closes #4028
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https://api.github.com/repos/pandas-dev/pandas/issues/4003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4003/events | https://github.com/pandas-dev/pandas/issues/4003 | 15,896,818 | MDU6SXNzdWUxNTg5NjgxOA== | 4,003 | Pandas crosstab margins double counting if values specifies a different field than rows/cols | {
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To reproduce:
Create a test dataframe:
``` python
df = DataFrame({'A': ['one', 'one', 'two', 'three'] * 6, 'B': ['A', 'B', 'C'] * 8, 'C' : ['foo', 'foo', 'foo', 'bar', 'bar', 'bar'] * 4, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4004/events | https://github.com/pandas-dev/pandas/pull/4004 | 15,899,575 | MDExOlB1bGxSZXF1ZXN0NjQ5MjIyMg== | 4,004 | Fix rename for MultiIndex columns DataFrame | {
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"i... | 9 | 2013-06-23T17:26:13Z | 2014-06-25T21:40:36Z | 2013-06-24T09:57:50Z | CONTRIBUTOR | null | DataFrame rename doesn't rename a MultiIndex column and it flattens the columns. Closes https://github.com/pydata/pandas/issues/3165 which is a fix for index but not columns.
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https://api.github.com/repos/pandas-dev/pandas/issues/4005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4005/events | https://github.com/pandas-dev/pandas/issues/4005 | 15,904,051 | MDU6SXNzdWUxNTkwNDA1MQ== | 4,005 | Can't assign NaT to datetime series with iloc | {
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>>> s = pd.Series(pd.date_range('2000-1-1', '2000-1-2'))
>>> s
0 2000-01-01 00:00:00
1 2000-01-02 00:00:00
```
This works:
```
>>> s[0] = pd.NaT
>>> s
0 NaT
1 2000-01-02 00:00:00
```
This works:
```
>>> s.iloc[0] = pd.NaT.value
>>> s
0 NaT
1 2000-01-02 00:00:00
dtype:... | {
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>>> s = pd.Series([None, 'a', 'b'])
>>> s
0 None
1 a
2 b
dtype: object
>>> s.min()
inf
```
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This isn't a fast function but has quite a bit of functionality. Take a look at the unit tests. Comments on the API welcome and this could use a few iterations. Various ad hoc things like concatenating "key paths" to metadata
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``` python
======================================================================
ERROR: test_raise_on_no_columns (pandas.io.tests.test_parsers.TestCParserLowMemory)
----------------------------------------------------------------------
Traceback (most ... | {
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"i... | 39 | 2013-06-24T01:52:30Z | 2014-06-18T13:38:53Z | 2013-07-03T12:50:07Z | CONTRIBUTOR | null | Changed double decorated tests previously `network` and `slow` so they actually get run + stored usda_data such that the tests don't fail on network access.
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https://api.github.com/repos/pandas-dev/pandas/issues/4010 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4010/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4010/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4010/events | https://github.com/pandas-dev/pandas/pull/4010 | 15,912,607 | MDExOlB1bGxSZXF1ZXN0NjQ5Nzc0NA== | 4,010 | CLN: Added *.dta to the .gitignore. Fixed typo in comment. Removed import. | {
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"i... | 5 | 2013-06-24T08:05:56Z | 2014-06-21T02:48:33Z | 2013-06-26T11:07:32Z | CONTRIBUTOR | null | CLN: Removed import after flake8 said it wasn't needed.
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https://api.github.com/repos/pandas-dev/pandas/issues/4011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4011/events | https://github.com/pandas-dev/pandas/issues/4011 | 15,924,803 | MDU6SXNzdWUxNTkyNDgwMw== | 4,011 | import error "pandas/hashtable.so: Symbol not found: _get_c_string" | {
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] | closed | false | null | [] | null | 22 | 2013-06-24T13:35:31Z | 2013-06-24T15:55:52Z | 2013-06-24T15:55:17Z | NONE | null | I apparently successfully installed pandas using pip (there were a large number of warnings generated), but when I import pandas I get:
dlopen(/Ureka/1.0beta5/Ureka/variants/scipy2013/lib/python2.7/site-packages/pandas/hashtable.so, 2): Symbol not found: _get_c_string
Referenced from: /Ureka/1.0beta5/Ureka/variants/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4012/events | https://github.com/pandas-dev/pandas/issues/4012 | 15,934,519 | MDU6SXNzdWUxNTkzNDUxOQ== | 4,012 | DataFrame to_record() with string, datetime column broken in 0.11 release | {
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"labels_url": "htt... | 12 | 2013-06-24T16:41:40Z | 2014-02-18T02:26:41Z | 2014-02-18T02:26:41Z | NONE | null | Issue valid ONLY for numpy < 1.7, need to astype to object the datetime64[ns] first, then to_records
To recreate:
``` python
import pandas as pd
import datetime
current = datetime.datetime.combine(datetime.date.today(), datetime.time())
date_list = [('test{0}'.format(i), current + datetime.timedelta(days=i)) for i i... | {
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"labels_url": "htt... | 2 | 2013-06-24T17:22:36Z | 2016-10-12T23:03:55Z | 2014-03-28T23:31:24Z | NONE | null | When applying different functions to columns with a MultiIndex by supplying a mapping to groupby.agg(), the top-level name of the columns get lost.
I believe this is a bug, because the names of the columns are unchanged (the total number of columns might be smaller, if not all columns are in the mapping, though).
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4014/events | https://github.com/pandas-dev/pandas/issues/4014 | 15,937,152 | MDU6SXNzdWUxNTkzNzE1Mg== | 4,014 | df.groupby() does not allow to use name of index at level 0 when not using a MultiIndex | {
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In [24]: df = pd.DataFrame({
....: 'exp' : ['A']*3 + ['B']*3,
....: 'var1' : range(6),
....: })
In [25]: df = df.set_index(['exp'])
In [26]: df.index.names
Out[27]: ['exp']
In [28]: df
Out[28]:
var1
exp
A 0
A 1
A 2
B 3
B 4
B 5
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4015/events | https://github.com/pandas-dev/pandas/pull/4015 | 15,945,155 | MDExOlB1bGxSZXF1ZXN0NjUxNDA3Mw== | 4,015 | FIX groupby name without multiindex GH4014 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4016/events | https://github.com/pandas-dev/pandas/issues/4016 | 15,950,739 | MDU6SXNzdWUxNTk1MDczOQ== | 4,016 | Pandas.ix[:, "2002"] returns a DataFrame | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-06-24T22:18:22Z | 2013-08-07T20:20:41Z | 2013-08-07T20:20:41Z | CONTRIBUTOR | null | ``` python
import pandas as pd
import numpy as np
ind = pd.date_range(start="2000", freq="D", periods=1000)
df = pd.DataFrame(np.random.randn(len(ind), 5), index=ind, columns=list('ABCDE'))
panel = pd.Panel({'frame_'+c:df for c in list('ABC')})
test1 = panel.ix[:, "2002"]
test1.ndim # 3
type(test1) # pandas.core.fram... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4017/events | https://github.com/pandas-dev/pandas/issues/4017 | 15,952,249 | MDU6SXNzdWUxNTk1MjI0OQ== | 4,017 | Odd behavior from df.iloc | {
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"i... | 1 | 2013-06-24T23:00:55Z | 2013-06-28T13:18:24Z | 2013-06-26T18:15:38Z | CONTRIBUTOR | null | I encountered some strange behavior from df.iloc today (today's master). Here's an example. First, create a 300,000 element df with ascending integer index and then select 3000 rows from it:
from pandas import *
import numpy as np
df = DataFrame({'A' : [0.1] \* 300000, 'B' : [1] \* 300000})
idx = array(range(3000)) \... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4018/events | https://github.com/pandas-dev/pandas/pull/4018 | 15,955,258 | MDExOlB1bGxSZXF1ZXN0NjUxOTQ5OA== | 4,018 | BUG: GH4017, efficiently support non-unique indicies with iloc | {
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"i... | 12 | 2013-06-25T00:14:19Z | 2014-06-12T13:14:25Z | 2013-06-26T18:15:38Z | CONTRIBUTOR | null | closes #4017
This was a bug because the iloc was dealing with a non-unique index (and was
reindexing which is not correct in this situation, instead can effectively
take)
```
In [1]: df= DataFrame({'A' : [0.1] * 300000, 'B' : [1] * 300000})
In [2]: idx = np.array(range(3000)) * 99
In [3]: expected = df.iloc[idx]
I... | {
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"gi... | [] | closed | false | null | [] | null | 6 | 2013-06-25T02:40:34Z | 2013-06-25T14:28:45Z | 2013-06-25T14:28:45Z | CONTRIBUTOR | null | From my answer to a SO question [here](http://stackoverflow.com/a/17288205/1889400)
`stack` takes an argument `dropna`:
dropna : boolean, default True
Whether to drop rows in the resulting Frame/Series with no valid
values
It seems like that argument may be getting ignored. That or I'm confused and the docs... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4020/events | https://github.com/pandas-dev/pandas/issues/4020 | 15,958,901 | MDU6SXNzdWUxNTk1ODkwMQ== | 4,020 | API: decide what to return from plotting functions | {
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this has been brought up be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4021/events | https://github.com/pandas-dev/pandas/pull/4021 | 15,959,851 | MDExOlB1bGxSZXF1ZXN0NjUyMTgwNA== | 4,021 | BUG: allow series to use gcf-style figures | {
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here's the original issue: https://github.com/pydata/pandas/commit/51cc9d9d21554701f70ef24392bd78a3da189335#commitcomment-3494266
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https://api.github.com/repos/pandas-dev/pandas/issues/4022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4022/events | https://github.com/pandas-dev/pandas/pull/4022 | 15,960,160 | MDExOlB1bGxSZXF1ZXN0NjUyMTk2Mg== | 4,022 | CLN: move tox_prll.sh to tox.sh | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4023/events | https://github.com/pandas-dev/pandas/issues/4023 | 15,960,481 | MDU6SXNzdWUxNTk2MDQ4MQ== | 4,023 | rename multiindex bug in DataFrame | {
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```
from datetime import datetime, time
from pandas import date_range, Series, DataFrame
time_ind = date_range(datetime(2013, 1, 1), datetime(2013, 1, 10), freq='1min')
s = Series(1, index=time_ind)
s_g = s.groupby([lambda x: x.hour, lambda x: x.minute]).sum()
s_g = s_g.rename(lambda (h, m): ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4024/events | https://github.com/pandas-dev/pandas/pull/4024 | 15,961,493 | MDExOlB1bGxSZXF1ZXN0NjUyMjU4Mg== | 4,024 | BUG: Make secondary_y work properly for bar plots GH3598 | {
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"i... | 9 | 2013-06-25T05:06:27Z | 2014-06-25T08:05:07Z | 2013-06-26T13:38:27Z | CONTRIBUTOR | null | As far as I'm aware this seems to work properly, but I'm not sure if this was done the previous way for a reason I don't understand.
Fixes: https://github.com/pydata/pandas/issues/3598
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https://api.github.com/repos/pandas-dev/pandas/issues/4025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4025/events | https://github.com/pandas-dev/pandas/issues/4025 | 15,961,889 | MDU6SXNzdWUxNTk2MTg4OQ== | 4,025 | ER: Better error reporting in get_data_yahoo | {
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```
When processing a long list of symbols using get_data_yahoo it is essential
that you be able to see which symbol is causing the problem. I was
importing a supposedly cleaned list of all the Russell 2000 stocks. When I
used your example (page 139), it worked. When I used my 'short list'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4026/events | https://github.com/pandas-dev/pandas/issues/4026 | 15,966,993 | MDU6SXNzdWUxNTk2Njk5Mw== | 4,026 | CLN: Remove deprecated 'height' display option. | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-06-25T08:41:53Z | 2013-07-28T21:05:53Z | 2013-07-28T21:05:53Z | CONTRIBUTOR | null | Hi,
I've got some Deprecation Warning messages about the 'height' display option (e.g. in `format.get_console_size()` function). See commit b036a7e316426fe4a312f8df4fb246512165812b which introduced this deprecation.
This message occurs when I display a `DataFrame` in my IPython console.
Best regards,
Damien G.
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https://api.github.com/repos/pandas-dev/pandas/issues/4027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4027/events | https://github.com/pandas-dev/pandas/pull/4027 | 15,967,184 | MDExOlB1bGxSZXF1ZXN0NjUyNTU2Mg== | 4,027 | Remove deprecation warning about 'display.height' option. | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2013-06-25T08:47:33Z | 2014-07-10T08:53:26Z | 2013-07-28T21:05:10Z | CONTRIBUTOR | null | Hi,
See the related issue at https://github.com/pydata/pandas/issues/4026
Best regards,
Damien
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"i... | 15 | 2013-06-25T11:54:15Z | 2013-06-28T23:06:17Z | 2013-06-28T23:06:17Z | CONTRIBUTOR | null | #3822 `test_options` is failing
cc @gliptak
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https://api.github.com/repos/pandas-dev/pandas/issues/4029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4029/events | https://github.com/pandas-dev/pandas/issues/4029 | 15,979,484 | MDU6SXNzdWUxNTk3OTQ4NA== | 4,029 | TST: test_google erroring on py2.6 | {
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"i... | 3 | 2013-06-25T14:01:58Z | 2014-01-25T15:47:38Z | 2013-06-25T16:39:45Z | CONTRIBUTOR | null | is this random?
https://travis-ci.org/jreback/pandas/jobs/8423251
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https://api.github.com/repos/pandas-dev/pandas/issues/4030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4030/events | https://github.com/pandas-dev/pandas/pull/4030 | 15,980,069 | MDExOlB1bGxSZXF1ZXN0NjUzMjMxMg== | 4,030 | BUG: Removed import nose on top of testing.py script | {
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"i... | 9 | 2013-06-25T14:12:48Z | 2014-07-16T08:15:59Z | 2013-06-26T02:12:04Z | CONTRIBUTOR | null | I'm having this error in master branch:
> > > import pandas
> > > Traceback (most recent call last):
> > > File "<stdin>", line 1, in <module>
> > > File "pandas/**init**.py", line 33, in <module>
> > > from pandas.util.testing import debug
> > > File "pandas/util/testing.py", line 17, in <module>
> > > ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4031/events | https://github.com/pandas-dev/pandas/pull/4031 | 15,993,130 | MDExOlB1bGxSZXF1ZXN0NjUzOTUzMw== | 4,031 | Add layout keyword to dataframe.hist() | {
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"i... | 8 | 2013-06-25T18:19:52Z | 2014-06-20T04:13:38Z | 2013-06-29T14:50:54Z | CONTRIBUTOR | null | closes #4050. The current version defaults to a very sane default, but sometimes for presentation I prefer them all to be all in a row, or all in a column, or some non-balanced mix of the two. This keyword gives the flexibility for all of those options.
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https://api.github.com/repos/pandas-dev/pandas/issues/4032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4032/events | https://github.com/pandas-dev/pandas/issues/4032 | 16,001,219 | MDU6SXNzdWUxNjAwMTIxOQ== | 4,032 | Some items were not contained in blocks AssertionError | {
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"i... | 4 | 2013-06-25T20:56:57Z | 2013-06-26T14:02:11Z | 2013-06-26T14:02:11Z | CONTRIBUTOR | null | The code below causes the DataFrame internals to get confused and throws an AssertionError on `print df.values`. The code looks contrived, but its just a simplified version of something I was trying to do. It doesn't seem to matter whether any columns are actually renamed so I simplified that also, but the rename calls... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4033/events | https://github.com/pandas-dev/pandas/issues/4033 | 16,006,455 | MDU6SXNzdWUxNjAwNjQ1NQ== | 4,033 | write_frame fails to replace table (io.sql) | {
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] | closed | false | null | [] | null | 1 | 2013-06-25T22:54:58Z | 2013-06-29T15:54:02Z | 2013-06-29T15:54:02Z | NONE | null | For the option if_exists='replace' in write_frame the table is dropped but not re-created.
Simple error in the logic:
```
#create or drop-recreate if necessary
create = None
if exists and if_exists == 'replace':
create = "DROP TABLE %s" % name
elif not exists:
create = get_schema(frame, name, flavor)
if creat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4034/events | https://github.com/pandas-dev/pandas/issues/4034 | 16,007,030 | MDU6SXNzdWUxNjAwNzAzMA== | 4,034 | write_frame fails to write NaN values (io.sql) | {
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] | closed | false | null | [] | null | 1 | 2013-06-25T23:10:12Z | 2013-06-29T15:52:42Z | 2013-06-29T15:52:42Z | NONE | null | At least connections via pyodbc or ceODBC do not accept NaN values in INSERT statements.
If I replace the NaN with None it is working as expected, i.e. these are NULLs in the data base:
```
frame2 = frame.where((pd.notnull(frame)), None)
data = [tuple(x) for x in frame2.values]
cur.executemany(insert_query, data)
```... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4035/events | https://github.com/pandas-dev/pandas/pull/4035 | 16,008,856 | MDExOlB1bGxSZXF1ZXN0NjU0ODUwOQ== | 4,035 | ENH: add rmod methods to frame and series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4036/events | https://github.com/pandas-dev/pandas/issues/4036 | 16,009,461 | MDU6SXNzdWUxNjAwOTQ2MQ== | 4,036 | Partial Selection on MultiIndex: The need for empty slice support & dict indexing | {
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... | 15 | 2013-06-26T00:22:06Z | 2020-12-23T01:12:39Z | null | NONE | null | related #4036, #4116
from SO with 0.14.0 multi-index slicers: http://stackoverflow.com/questions/24126542/pandas-multi-index-slices-for-level-names/24126676#24126676
Here's the example from there:
```
In [11]: midx = pd.MultiIndex.from_product([list(range(3)),['a','b','c'],pd.date_range('20130101',periods=3)],names=[... | {
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This is a ways from being mergeable but I thought I would put up the PR for people to play with and to get some other eyes on it. Tire-kick at will. A consolidated list of things to be completed to come.
# `eval` Roadmap
## Documentation
- [ ] enhancing performance section
- [x] `eval` docstring
- [ ] Wa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4039/events | https://github.com/pandas-dev/pandas/pull/4039 | 16,011,127 | MDExOlB1bGxSZXF1ZXN0NjU0OTY2NQ== | 4,039 | ENH/BUG: Fix names, levels and labels handling in MultiIndex | {
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Fixes: #4202, #3714, #3742 (there are might be some others, but I've blanked on them...)
Bug fixes:
- `MultiIndex` preserves names as much as possible and it's now harder to overwrite index metadata by making changes down the line.
- `set_values` no longer messes up names.
External API Changes:
- Nam... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4040/events | https://github.com/pandas-dev/pandas/issues/4040 | 16,012,079 | MDU6SXNzdWUxNjAxMjA3OQ== | 4,040 | Add the sphinx versionadded directive to release.rst and vX.Y.Z.txt (whatsnew files) | {
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- Added 'to_julian_date()' to DatetimeIndex
- Added tests for both methods.
Toying with the idea of using pandas for my astronomy and tidal analysis packages and I need the astronomical Julian Date. So here is an implementation and tests. I think I put these in the right place... | {
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"i... | 19 | 2013-06-26T05:17:01Z | 2014-06-19T16:05:37Z | 2013-07-20T01:45:17Z | NONE | null | ujson has trouble with very big, and especially very small, floats:
esnme/ultrajson#69
esnme/ultrajson#83
esnme/ultrajson#90
From: https://github.com/pydata/pandas/pull/1263#issuecomment-20024006
```
>>> import ujson
>>> ujson.dumps(1e-40)
'0.0'
>>> ujson.dumps(1e-40, double_precision=17)
'0.0'
```
I believe this m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4043/events | https://github.com/pandas-dev/pandas/pull/4043 | 16,029,977 | MDExOlB1bGxSZXF1ZXN0NjU1OTc0Mw== | 4,043 | BUG: (GH4032) Fixed insertion issue into DataFrame, after rename | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4044 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4044/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4044/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4044/events | https://github.com/pandas-dev/pandas/pull/4044 | 16,034,194 | MDExOlB1bGxSZXF1ZXN0NjU2MTM4Mw== | 4,044 | DOC: Minor correction to DataReader data_source options | {
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Modified DataReader slightly to accept "ff" anyway.
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https://api.github.com/repos/pandas-dev/pandas/issues/4045 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4045/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4045/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4045/events | https://github.com/pandas-dev/pandas/issues/4045 | 16,034,560 | MDU6SXNzdWUxNjAzNDU2MA== | 4,045 | .loc[] with MultiIndex sometimes yields Series, other times yields DataFrames | {
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"f... | 3 | 2013-06-26T14:11:59Z | 2017-05-04T13:42:24Z | 2017-05-04T13:42:23Z | CONTRIBUTOR | null | The behavior I'm experiencing is non-deterministic. DataFrames with different data but constructed at the same way behave differently.
The example from the documentation on indexing works:
``` python
df.loc[("foo", "one")]
0 1 2 3
foo one -1.465106 0.518888 0.901505 -0.2508... | {
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```
0.12.0.dev-73de5de
```
[PEP386](http://www.python.org/dev/peps/pep-0386/) details 3 version format conventions extent in the python world and this format is invalid in all of them.
In practice it's caused no problems( I know of), probably because the tooling is lenient, but one real drawback is that l... | {
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"i... | 13 | 2013-06-26T18:13:55Z | 2014-07-05T21:27:17Z | 2013-06-27T13:02:34Z | MEMBER | null | closes #4028, #3982
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"i... | 7 | 2013-06-26T18:26:14Z | 2014-06-30T12:16:55Z | 2013-06-26T19:17:51Z | CONTRIBUTOR | null | closes #4028
just a reversal of the warnings - seem ok now
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http://stackoverflow.com/questions/17326973/is-there-a-way-to-auto-adjust-excel-column-widths-with-pandas-excelwriter
It would be a nice feature to have the columns in the excel file auto-adjusted to the length of the longest entry in that column.
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"i... | 0 | 2013-06-26T22:54:44Z | 2013-06-29T14:50:54Z | 2013-06-29T14:50:54Z | CONTRIBUTOR | null | Right now, the layout of the subplots for a dataframe's histogram is out of the control of the user, it picks the (very sane) default of trying to balance out the rows and columns.
This is great, but sometimes I want the histograms to all be in a row, or all in a column, or some combination for better presentation.
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https://api.github.com/repos/pandas-dev/pandas/issues/4051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4051/events | https://github.com/pandas-dev/pandas/pull/4051 | 16,066,892 | MDExOlB1bGxSZXF1ZXN0NjU3OTQ4Mw== | 4,051 | ENH: Use numexpr for all arithmetic operators + refactor arithmetic operations | {
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#### This is going to be split into two parts and then rebased on top of #3482.
Tasks:
- [x] Move arithmetic operations to separate file (e.g., `ops.py`).
- [x] Explore combining series/panel/frame operation methods.
- [x] Add rand, rxor, ror, etc...
This adds:
1. numexpr acceleration to `Series`, `Pa... | {
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"followers_url": "https://api.github.com/users/jr... | 82 | 2013-06-27T10:39:19Z | 2016-08-25T14:26:13Z | 2016-02-20T18:40:31Z | CONTRIBUTOR | null | It would be really convenient to be able to at least import SAS tables into pandas dataframe. Is this planned ? Are they insurmountable issues ?
Thanks
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"i... | 6 | 2013-06-27T13:02:01Z | 2013-07-05T18:10:49Z | 2013-07-05T18:10:49Z | CONTRIBUTOR | null | Hi,
I could really do with using some of the new features in 0.12-dev on my Windows machine, but the Windows builds linked from the homepage (at http://pandas.pydata.org/pandas-build/dev/) don't seem to have been updated since April.
Are these still being built but put elsewhere? Or is there a problem with the automa... | {
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"i... | 8 | 2013-06-27T13:03:15Z | 2014-06-13T01:01:55Z | 2013-06-28T14:21:53Z | MEMBER | null | closes #4028, #3982. for good.
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You can do it but its akward
```
In [142]: pd.period_range('2011-07','2012-05',freq='M').values.min()
Out[142]: 498
In [143]: pd.period_range('2011-07','2012-05',freq='M').values.max()
Out[143]: 508
In [146]: pd.period_range(pd.Period(ordinal=498,freq='M'),pd.Period(ordinal=508,freq='M'),freq='M')
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http://stackoverflow.com/questions/17338148/pandas-duplicate-datetimeindex-entries-lead-to-odd-exception?noredirect=1#comment25166923_17338148
```
In [3]: from collections import OrderedDict
In [4]: import datetime as dt
In [5]: a = [1371215933513120, 13712... | {
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related #414
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https://api.github.com/repos/pandas-dev/pandas/issues/4061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4061/events | https://github.com/pandas-dev/pandas/issues/4061 | 16,103,179 | MDU6SXNzdWUxNjEwMzE3OQ== | 4,061 | Better long-to-wide reshaping (inverse of melt-type operation) | {
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"i... | 5 | 2013-06-27T19:53:37Z | 2014-06-16T02:42:59Z | 2013-06-28T19:47:40Z | MEMBER | null | In pandas.io.pickle the following statement will not allow python to import
anything due to the following rewrite by 2to3
import pickle -> from . import pickle
This makes the import try to import itself ad infinitum and thus fails.
closes #4062
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"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 3 | 2013-06-28T01:19:25Z | 2013-07-10T13:22:03Z | 2013-07-10T13:21:55Z | CONTRIBUTOR | null | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4065 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4065/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4065/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4065/events | https://github.com/pandas-dev/pandas/issues/4065 | 16,123,776 | MDU6SXNzdWUxNjEyMzc3Ng== | 4,065 | Timestamp() is wrong if np.datetime64 < 1678-01-01 | {
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In [116]: pd.Timestamp(np.datetime64('1677-01-01'),'D')
Out[116]: Timestamp('2261-07-22 23:34:33.709551616', tz=None)
In [117]: pd.Timestamp(np.datetime64('1678-01-01'),'D')
Out[117]: Timestamp('1678-01-01 00:00:00', tz=None)
In [121]: pd.**ver... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4066/events | https://github.com/pandas-dev/pandas/issues/4066 | 16,124,035 | MDU6SXNzdWUxNjEyNDAzNQ== | 4,066 | BUG: When using np.datetime64 should have date ranges according to frequency | {
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"f... | 12 | 2013-06-28T02:09:14Z | 2019-07-23T23:08:31Z | 2019-07-23T23:08:31Z | CONTRIBUTOR | null | A daily frequency np.datetime64 should have a range of [2.5e16 BC, 2.5e16 AD]. Instead it follows the range for nanosecond [ 1678 AD, 2262 AD].
Ranges taken from http://docs.scipy.org/doc/numpy/reference/arrays.datetime.html
In [126]: pd.Timestamp(np.datetime64('1677-01-01'),'D')
Out[126]: Timestamp('2261-07-22 23:3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4067/events | https://github.com/pandas-dev/pandas/issues/4067 | 16,124,925 | MDU6SXNzdWUxNjEyNDkyNQ== | 4,067 | Assign column values to non-unique DataFrame | {
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```
In [1]: from pandas import DataFrame
In [2]: df = DataFrame([[1,2],[3,4]], index=[0,0], columns=[0,0])
In [3]: df
Out[3]:
0 0
0 1 2
0 3 4
In [4]: df.index=[0,1]
In [5]: df
Out[5]:
0 0
0 1 2
1 3 4
In [6]: df.columns=[0,1]
-------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4068/events | https://github.com/pandas-dev/pandas/pull/4068 | 16,128,672 | MDExOlB1bGxSZXF1ZXN0NjYwOTQxOQ== | 4,068 | DOC: read_frame doc enhancement | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4069/events | https://github.com/pandas-dev/pandas/issues/4069 | 16,139,509 | MDU6SXNzdWUxNjEzOTUwOQ== | 4,069 | BUG: Possible BMonthEnd() | {
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"created_at": "2014-01-03T20:19:04Z",
"creator": null,
"description": "2014-02-3: previous version released",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 1 | 2013-06-28T12:28:50Z | 2014-03-30T15:23:19Z | 2014-03-30T15:23:19Z | NONE | null | ``` python
>>> import datetime as dt
>>> from pandas.tseries.offsets import *
>>> d = dt.datetime(2013, 6, 27, 8, 10)
>>> d + BMonthEnd()
datetime.datetime(2013, 6, 28, 0, 0) # correct!!!
>>> d = dt.datetime(2013, 6, 28, 8, 10)
>>> d + BMonthEnd()
datetime.datetime(2013, 7, 31, 0, 0) ## should 6/28 not 7/31...day not o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4070/events | https://github.com/pandas-dev/pandas/pull/4070 | 16,141,160 | MDExOlB1bGxSZXF1ZXN0NjYxNTk3OA== | 4,070 | PERF: optimize iloc for unique case | {
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optimize the iloc case (which should be the same for unique and non-unique indicies)
```
In [1]: df = DataFrame({'A' : [0.1] * 30000000, 'B' : [1] * 30000000})
In [6]: idx = np.array(range(30000)) * 99
In [7]: df2 = DataFrame({'A' : [0.1] * 10000000, 'B' : [1] * 10000000})
In [8]: df2 = concat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4071/events | https://github.com/pandas-dev/pandas/issues/4071 | 16,142,893 | MDU6SXNzdWUxNjE0Mjg5Mw== | 4,071 | BUG: AssertionError using mask on a dataframe with shape (1, n) | {
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"i... | 6 | 2013-06-28T14:02:03Z | 2016-10-12T23:03:56Z | 2013-06-28T18:41:48Z | NONE | null | Using a DataFrame of bools to mask some values in another dataframe works great:
``` python
In [84]: pd.DataFrame([[1,2],[3,4]]).mask(pd.DataFrame([[True,False],[False, True]]))
Out[84]:
0 1
0 NaN 2
1 3 NaN
```
but not if we try on a dataframe with a single index:
``` python
In [85]: pd.DataFrame([[1,2],]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4072/events | https://github.com/pandas-dev/pandas/issues/4072 | 16,143,444 | MDU6SXNzdWUxNjE0MzQ0NA== | 4,072 | df.mask and df.where should allow non array sequences | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4073/events | https://github.com/pandas-dev/pandas/pull/4073 | 16,145,270 | MDExOlB1bGxSZXF1ZXN0NjYxODIyMw== | 4,073 | BUG: fix 1xN mask on 1xN frame | {
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"i... | 0 | 2013-06-28T14:54:32Z | 2014-07-02T22:48:55Z | 2013-06-28T18:41:48Z | MEMBER | null | closes #4071.
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https://api.github.com/repos/pandas-dev/pandas/issues/4074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4074/events | https://github.com/pandas-dev/pandas/issues/4074 | 16,145,727 | MDU6SXNzdWUxNjE0NTcyNw== | 4,074 | Append pd.Series in HDF5 files | {
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The `append` function does not work for `pd.Series` object. For instance, the following code:
```
ss = pd.Series([1,2,3,4,5])
h5store = pd.HDFStore('tmpstore.h5')
h5store.append('ss',ss)
h5store.close()
```
fails with the er... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4075/events | https://github.com/pandas-dev/pandas/pull/4075 | 16,148,782 | MDExOlB1bGxSZXF1ZXN0NjYyMDE4Mg== | 4,075 | PERF: optimize insert_columns | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4076/events | https://github.com/pandas-dev/pandas/issues/4076 | 16,153,391 | MDU6SXNzdWUxNjE1MzM5MQ== | 4,076 | Extra Bin with Pandas Resample in 0.11.0 | {
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"creator": null,
"description": "2014-02-3: previous version released",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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"labels_url": "htt... | 10 | 2013-06-28T17:53:55Z | 2016-10-12T23:03:57Z | 2014-03-23T13:49:21Z | NONE | null | I've got a pandas data frame defined like this, using pandas 0.11.0:
```
last_4_weeks_range = pandas.date_range(
start=datetime.datetime(2001, 5, 4), periods=28)
last_4_weeks = pandas.DataFrame(
[{'REST_KE... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4077/events | https://github.com/pandas-dev/pandas/pull/4077 | 16,153,487 | MDExOlB1bGxSZXF1ZXN0NjYyMjc2Nw== | 4,077 | Fix for #3970 cache invalidation bug | {
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"i... | 3 | 2013-06-28T17:56:09Z | 2013-06-28T18:41:53Z | 2013-06-28T18:40:04Z | MEMBER | null | Also fixed stable sorting test failure that presents on some platforms
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https://api.github.com/repos/pandas-dev/pandas/issues/4078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4078/events | https://github.com/pandas-dev/pandas/issues/4078 | 16,164,581 | MDU6SXNzdWUxNjE2NDU4MQ== | 4,078 | ER: multiindexes in no-data DataFrame constructor should yield a nan frame | {
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```
In [24]: tuples = [(randint(10), randint(10)) for _ in range(10)]
In [25]: mi = MultiIndex.from_tuples(tuples)
In [26]: df = DataFrame(index=mi, columns=mi)
```
fails, whereas single level indexes work fine
```
In [27]: df = DataFrame(index=range(10), columns=range(10))
In [28]: df
Out[28]:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4079/events | https://github.com/pandas-dev/pandas/pull/4079 | 16,167,678 | MDExOlB1bGxSZXF1ZXN0NjYzMDYxNA== | 4,079 | TST: more cleaning of yahoo/google testing | {
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"i... | 9 | 2013-06-29T00:04:45Z | 2013-06-29T15:52:40Z | 2013-06-29T15:10:36Z | MEMBER | null | fixes yet another bug with yahoo/google testing
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https://api.github.com/repos/pandas-dev/pandas/issues/4080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4080/events | https://github.com/pandas-dev/pandas/issues/4080 | 16,169,484 | MDU6SXNzdWUxNjE2OTQ4NA== | 4,080 | BUG: series update | {
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"followers_url": "https://api.github.com/users/wesm... | 15 | 2013-06-29T01:58:32Z | 2013-08-16T19:27:26Z | 2013-08-16T19:27:26Z | NONE | null | ``` python
import pandas as pd
df = pd.DataFrame(dict((c, [1,2,3]) for c in ['a', 'b', 'c']))
df.set_index(['a', 'b', 'c'], inplace=True)
s = pd.Series([1], index=[(2,2,2)])
df['val'] = 0
df
df['val'].update(s)
df
```
on my machine (pandas 0.11.1.dev-45d298d, linux) i get the rather unexpected output
```
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https://api.github.com/repos/pandas-dev/pandas/issues/4081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4081/events | https://github.com/pandas-dev/pandas/pull/4081 | 16,175,691 | MDExOlB1bGxSZXF1ZXN0NjYzMzc0NA== | 4,081 | BUG: GH4080, int conversion of underlying series to float needs updating in parent frame | {
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"followers_url": "https://api.github.com/users/wesm... | 11 | 2013-06-29T14:47:23Z | 2014-06-28T10:42:55Z | 2013-07-25T17:20:23Z | CONTRIBUTOR | null | closes #4080
essentially a variation on #3970
here block consolidation and cache is not the issue,
rather the dtype of the series is int, and as a result of the update (directly on the series)
changes dtype to float (which is fine)
BUT the parent still has this in an Int Block
this PR essentially creates an Observe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4082/events | https://github.com/pandas-dev/pandas/issues/4082 | 16,175,916 | MDU6SXNzdWUxNjE3NTkxNg== | 4,082 | DOC/WIP: doc page for the layout of the internals of pandas | {
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"f... | 14 | 2013-06-29T15:05:00Z | 2020-04-04T18:29:56Z | null | MEMBER | null | this would be useful for reference purposes and also so that @jreback doesn't have to fix almost every non-trivial bug that pops up :). i would be happy to start writing this (with the help of others who know these things better than i do), i think it would be an excellent way to gain a deeper understanding of the inte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4083/events | https://github.com/pandas-dev/pandas/pull/4083 | 16,176,476 | MDExOlB1bGxSZXF1ZXN0NjYzNDAxNQ== | 4,083 | ENH: add the beginnings of an exception hierarchy specific to pandas | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4084/events | https://github.com/pandas-dev/pandas/issues/4084 | 16,176,838 | MDU6SXNzdWUxNjE3NjgzOA== | 4,084 | ENH: allowed read_csv to accept a basestring as the buffer and interpret as StringIO | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-06-29T16:26:35Z | 2013-07-26T20:39:52Z | 2013-07-26T20:39:52Z | CONTRIBUTOR | null | already do this in `read_json`
first check if its a valid filename (which is safe in python)
if so, then open and process
else try to use as a `StringIO(buffer)`
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https://api.github.com/repos/pandas-dev/pandas/issues/4085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4085/events | https://github.com/pandas-dev/pandas/pull/4085 | 16,177,827 | MDExOlB1bGxSZXF1ZXN0NjYzNDQ5MA== | 4,085 | ENH: really really really fix the failing data.py tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4086/events | https://github.com/pandas-dev/pandas/pull/4086 | 16,178,433 | MDExOlB1bGxSZXF1ZXN0NjYzNDcwOA== | 4,086 | TST: test_fast.sh should not run network tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4087/events | https://github.com/pandas-dev/pandas/issues/4087 | 16,180,638 | MDU6SXNzdWUxNjE4MDYzOA== | 4,087 | API: provide a better way of doing np.unique(return_inverses=True) | {
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... | 1 | 2013-06-29T21:50:22Z | 2018-07-06T21:43:37Z | 2018-07-06T21:43:37Z | CONTRIBUTOR | null | The numpy way
```
In [183]: x
Out[183]:
one two
0 1 a
2 2 c
3 3 d
4 4 d
5 5 d
In [184]: np.unique(x['two'].values,return_inverse=True)
Out[184]: (array(['a', 'c', 'd'], dtype=object), array([0, 1, 2, 2, 2]))
```
The pandas way - maybe provide a better API to this
maybe: `uniques, indexer... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4088/events | https://github.com/pandas-dev/pandas/issues/4088 | 16,188,429 | MDU6SXNzdWUxNjE4ODQyOQ== | 4,088 | Reording a multiindex by only specifiying the order on level 0 | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2013-06-30T14:36:02Z | 2014-12-07T00:18:23Z | 2014-12-07T00:18:23Z | CONTRIBUTOR | null | starting PR is here: https://github.com/pydata/pandas/pull/6647
By reading the docs on `Dataframe.reindex()`, I would have guessed (not sure what "broadcast" is...) that this works:
``` python
arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],
['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4089/events | https://github.com/pandas-dev/pandas/issues/4089 | 16,195,168 | MDU6SXNzdWUxNjE5NTE2OA== | 4,089 | DataFrame.hist does not honor sharex or sharey set to True | {
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"i... | 13 | 2013-06-30T23:35:16Z | 2016-10-12T23:03:57Z | 2013-07-01T03:28:07Z | NONE | null | [Here is an example](http://nbviewer.ipython.org/urls/gist.github.com/fonnesbeck/5897459/raw/6181f066f245c7fb489b68f88e4b4731c77a238b/King%27s+Bay+Survey+Analysis.ipynb) of the `hist` method called as a multi-panel plot via the `by` argument, with `sharey=True` and `sharex=True`. As you can observe in the plot at the b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4090/events | https://github.com/pandas-dev/pandas/issues/4090 | 16,195,732 | MDU6SXNzdWUxNjE5NTczMg== | 4,090 | CLN: Refactor string special methods to common decorator + safe unicode everywhere | {
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"i... | 13 | 2013-07-01T00:32:33Z | 2013-07-02T01:42:28Z | 2013-07-02T01:42:28Z | CONTRIBUTOR | null | I was implementing some new objects for another PR and noticed that string methods are duplicated throughout (particularly on objects that don't inherit from each other). Wrote this up on this branch - https://github.com/jtratner/pandas/tree/refactor_string_magic_methods .
If you thing this is worthwhile, I'll split ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4091/events | https://github.com/pandas-dev/pandas/pull/4091 | 16,196,442 | MDExOlB1bGxSZXF1ZXN0NjY0MTAxMw== | 4,091 | BUG: pass sharex and sharey in grouped_hist | {
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"i... | 2 | 2013-07-01T01:26:14Z | 2014-07-16T08:16:48Z | 2013-07-01T03:28:07Z | MEMBER | null | closes #4089
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https://api.github.com/repos/pandas-dev/pandas/issues/4092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4092/events | https://github.com/pandas-dev/pandas/pull/4092 | 16,197,641 | MDExOlB1bGxSZXF1ZXN0NjY0MTU0MQ== | 4,092 | CLN: Refactor string special methods | {
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"i... | 31 | 2013-07-01T02:47:14Z | 2014-06-14T19:01:58Z | 2013-07-02T01:42:28Z | CONTRIBUTOR | null | closes #4090, #3231
- The internal `pandas` class hierarchy has changed (slightly). The
previous `PandasObject` now is called `PandasContainer` and a new
`PandasObject` has become the baseclass for `PandasContainer` as well
as `Index`, `Categorical`, `GroupBy`, `SparseList`, and
`SparseArray` (+ their base clas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4093/events | https://github.com/pandas-dev/pandas/issues/4093 | 16,211,322 | MDU6SXNzdWUxNjIxMTMyMg== | 4,093 | Google Drive API | {
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"labels_url": "htt... | 9 | 2013-07-01T12:17:52Z | 2014-02-14T03:48:34Z | 2014-02-14T03:48:34Z | MEMBER | null | I have some (admittedly, slightly less general than what would be need for pandas) code sitting around that reads spreadsheets from Google Drive, would it be useful to have this in io?
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https://api.github.com/repos/pandas-dev/pandas/issues/4094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4094/events | https://github.com/pandas-dev/pandas/issues/4094 | 16,212,879 | MDU6SXNzdWUxNjIxMjg3OQ== | 4,094 | BUG: update should try harder to preserve dtypes | {
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"f... | 5 | 2013-07-01T13:00:04Z | 2020-02-07T00:15:57Z | null | CONTRIBUTOR | null | more examples in #13957
http://stackoverflow.com/questions/17398216/unwanted-type-conversion-in-pandas-dataframe-update
```
df = pd.DataFrame({'int': [1, 2], 'float': [np.nan, np.nan]})
print('Integer column:')
print(df['int'])
for _, df_sub in df.groupby('int'):
df_sub['float'] = float(df_sub['int'])
df.u... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4095/events | https://github.com/pandas-dev/pandas/issues/4095 | 16,214,431 | MDU6SXNzdWUxNjIxNDQzMQ== | 4,095 | ENH: add to cython groupby functions | {
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... | closed | false | null | [] | {
"closed_at": "2015-11-21T13:47:07Z",
"closed_issues": 216,
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"creator": {
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"followers_url": "https://api.github.com/users/jr... | 22 | 2013-07-01T13:38:27Z | 2016-04-22T18:42:43Z | 2015-11-16T12:38:10Z | CONTRIBUTOR | null | - [x] shift [here](http://stackoverflow.com/questions/17401197/how-to-speed-up-pandas-multilevel-dataframe-shift-by-group) and [here](http://stackoverflow.com/questions/25298659/faster-alternative-to-grouby-shift)
- [x] [cumsum](http://stackoverflow.com/questions/28453238/cumsum-in-pandas-groupby-is-slow)
- [x] [cumpro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4096/events | https://github.com/pandas-dev/pandas/issues/4096 | 16,226,632 | MDU6SXNzdWUxNjIyNjYzMg== | 4,096 | stochastic bug in saving dataframes with "int16" or "int32" columns to HDF5 file | {
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"i... | 4 | 2013-07-01T17:53:33Z | 2013-11-07T19:56:18Z | 2013-07-01T21:27:26Z | CONTRIBUTOR | null | There seems to be a strange random bug in saving dataframes with integer columns to HDF5 files. The error sounds like:
```
ValueError: invalid combinate of [values_axes] on appending data [name->values_block_1,cname->values_block_1,axis->None,pos->2,kind->integer] vs current table [name->values_block_1,cname->values_b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4097/events | https://github.com/pandas-dev/pandas/issues/4097 | 16,229,902 | MDU6SXNzdWUxNjIyOTkwMg== | 4,097 | Possible bug with BMonthEnd() | {
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"gists_url": "h... | [] | closed | false | null | [] | null | 2 | 2013-07-01T19:05:14Z | 2013-07-01T20:09:48Z | 2013-07-01T20:09:08Z | NONE | null | > > > import pandas
> > > from pandas.tseries.offsets import *
> > > import datetime as dt
> > > d = dt.datetime(2013, 6, 28, 0, 0)
> > > d + BMonthEnd()
> > > datetime.datetime(2013, 7, 31, 0, 0)
> > > d = dt.datetime(2013, 6, 28, 12, 0)
> > > d + BMonthEnd()
> > > datetime.datetime(2013, 7, 31, 0, 0)
At noon on 6/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4098/events | https://github.com/pandas-dev/pandas/issues/4098 | 16,230,915 | MDU6SXNzdWUxNjIzMDkxNQ== | 4,098 | BUG: tz in index not working in HDFStore with table | {
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"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 0 | 2013-07-01T19:27:05Z | 2013-07-01T20:39:08Z | 2013-07-01T20:39:08Z | CONTRIBUTOR | null | ```
In [1]: df = DataFrame(dict(A = Series(xrange(3), index=date_range('2000-1-1',periods=3,freq='H', tz='US/Eastern'))))
In [2]: df.index
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2000-01-01 00:00:00, ..., 2000-01-01 02:00:00]
Length: 3, Freq: H, Timezone: US/Eastern
In [3]: df.to_hdf('tz.h5','df',mode=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4099/events | https://github.com/pandas-dev/pandas/pull/4099 | 16,232,698 | MDExOlB1bGxSZXF1ZXN0NjY1OTgxNQ== | 4,099 | BUG: GH4098, HDFStore not recreating a datetime index properly when has a timezone | {
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"i... | 0 | 2013-07-01T20:09:36Z | 2014-06-25T15:42:21Z | 2013-07-01T20:39:08Z | CONTRIBUTOR | null | closes #4098
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https://api.github.com/repos/pandas-dev/pandas/issues/4100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4100/events | https://github.com/pandas-dev/pandas/pull/4100 | 16,233,893 | MDExOlB1bGxSZXF1ZXN0NjY2MDUwNA== | 4,100 | BUG: (GH 4096) block ordering is somewhat non-deterministic in HDFStore; reorder to the existing store | {
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"i... | 0 | 2013-07-01T20:34:46Z | 2014-07-16T08:17:10Z | 2013-07-01T21:27:26Z | CONTRIBUTOR | null | closes #4096
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