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https://api.github.com/repos/pandas-dev/pandas/issues/6001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6001/events | https://github.com/pandas-dev/pandas/pull/6001 | 25,881,582 | MDExOlB1bGxSZXF1ZXN0MTE2NTY1MjI= | 6,001 | DOC: add sklearn-pandas to pandas ecosystem section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6002/events | https://github.com/pandas-dev/pandas/issues/6002 | 25,881,791 | MDU6SXNzdWUyNTg4MTc5MQ== | 6,002 | DOC: cython example from docs is not working in Windows | {
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When I run the example I get a `ValueError: Buffer dtype mismatch, expected 'Py_ssize_t' but got 'long'` error:
```
In [18]: %timeit apply_integr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6003/events | https://github.com/pandas-dev/pandas/pull/6003 | 25,882,381 | MDExOlB1bGxSZXF1ZXN0MTE2NTY4NDY= | 6,003 | DOC: update numpydoc to current master (commit 223df02530) | {
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The intent would then be, from now on, to not touch this code, apart of pulling an updated version from nu... | {
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But why doesn't this show up on py3.x
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Currently, if the DataFrame is empty, a guess is made at the correct return value (either a `DataFrame` or a `Series`) by calling the ... | {
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I wonder if we can easily provide a similar ki... | {
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sql improvements and probably elsewhere.
The code paths each takes are seperate so that fast paths aren't consistently available, and it's difficult to apply improvements such as #6021 i... | {
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For instance, if tuples has some results from SQL and is converted to Dataframe, the first row of the tuples is added "twice" times into Dataframe as below.
qr = <tuples from SQL Select result> # number of records : 100
df = p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6012/events | https://github.com/pandas-dev/pandas/issues/6012 | 25,932,054 | MDU6SXNzdWUyNTkzMjA1NA== | 6,012 | BUG: get_option_data | {
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```
if year != CUR_YEAR:
url +=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6013 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6013/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6013/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6013/events | https://github.com/pandas-dev/pandas/issues/6013 | 25,932,173 | MDU6SXNzdWUyNTkzMjE3Mw== | 6,013 | Perf regression in 0.13+ for df.apply | {
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http://pandas.pydata.org/pandas-docs/stable/enhancingperf.html#enhancingperf
Right after In[11]: displays timing results, the text suggests we have seen a 10x speedup compared with the original code. It looks like the original code runs in 336ms/loop. And the code executed in In[11] executes in 105ms/l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6014/events | https://github.com/pandas-dev/pandas/issues/6014 | 25,933,639 | MDU6SXNzdWUyNTkzMzYzOQ== | 6,014 | Stacked bar graph: Bar segments are sorted in opposite order of legend. | {
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#The legend is sorted 'A, B, C', but the bar segments are sorted 'C, B, A'.
d = {'A': [2,3], 'B': [4,5], 'C': [6,7]}
df = pd.DataFrame(data=d)
df.plot(kind='bar', stacked=True)
```
Thanks, and here's my full version string:
## INSTALLED VERSIONS
Python: 2.7.6.final.0
OS: Darwin
Release: 13.0.0
Processor: i... | {
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"labels_url": "htt... | 2 | 2014-01-20T17:53:11Z | 2014-03-06T01:26:16Z | 2014-02-07T12:01:27Z | NONE | null | Additionally to the broken replace option ( https://github.com/pydata/pandas/issues/4110 ) the sql.write_frame function does not work anymore for me with 0.13 when trying to write a Dataframe into a SQLite DB:
```
sql.write_frame(frame, name=name, con=conn, if_exists='replace')
```
results in :
``` python
File "/u... | {
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If there's any interest for this in 0.14, here's the code.
Thoughts on the method name? A regular difference is `diff` so I want to be consistent with that. I figured it would be a bit weird to truncate `difference` to `diff` but not truncate `symmetric` to `sym` (or... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6017/events | https://github.com/pandas-dev/pandas/pull/6017 | 25,949,693 | MDExOlB1bGxSZXF1ZXN0MTE2OTE3Mjg= | 6,017 | Remove duplicated code and fix travis | {
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apperently forgives missing atlas at compilation time? don't know.
six errors are a red herring.
closes #6006
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-20T22:18:16Z | 2014-01-21T14:42:07Z | 2014-01-21T14:42:07Z | CONTRIBUTOR | null | Slicing in Series with MultiIndex does not seem to work on master with .ix or .loc. This is not comparable with previous versions.
``` python
In [54]:
s = pd.Series([1,2,3])
s.index = pd.MultiIndex.from_tuples([(0,0),(1,1), (2,1)])
s[:,0]
Out[55]:
1 2
2 3
In [56]:
s.ix[:,1]
IndexingError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6019/events | https://github.com/pandas-dev/pandas/issues/6019 | 25,951,320 | MDU6SXNzdWUyNTk1MTMyMA== | 6,019 | Pandas hdf functions should support the hdf5 ExternalLink functionality when reading/writing. | {
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/Users/xxx/.pyenv/versions/anaconda/lib/python2.7/site-packages/pandas/io/pytables.pyc in select(self, key, where, start, stop, columns, itera... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6020/events | https://github.com/pandas-dev/pandas/pull/6020 | 25,955,350 | MDExOlB1bGxSZXF1ZXN0MTE2OTUwNzY= | 6,020 | DOC: make zipped HTML docs available GH1876 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6021/events | https://github.com/pandas-dev/pandas/pull/6021 | 25,960,301 | MDExOlB1bGxSZXF1ZXN0MTE2OTc4MTU= | 6,021 | Infer datetime format | {
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"followers_url": "https://api.github.com/users/... | 28 | 2014-01-21T02:13:15Z | 2014-06-12T16:18:50Z | 2014-01-24T21:49:48Z | CONTRIBUTOR | null | closes #5490
Basically this attempts to figure out the the datetime format if given a list of datetime strings. If the format can be guessed successfully, then to_datetime() attempts to use a faster way of processing the datetime strings.
Here is a gist that shows some timings of this function: https://gist.github.c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6022/events | https://github.com/pandas-dev/pandas/pull/6022 | 26,003,093 | MDExOlB1bGxSZXF1ZXN0MTE3MTM3MzQ= | 6,022 | BUG: regression in GH6018, indexing with a Series multi-index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6023/events | https://github.com/pandas-dev/pandas/issues/6023 | 26,006,679 | MDU6SXNzdWUyNjAwNjY3OQ== | 6,023 | Types mismatch (float/int) causes inconsistent output and data corruption | {
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```
In [1]: import pandas
In [2]: df = pandas.read_csv('http://pietrobattiston.it/c/test.csv')
In [3]: df_n = df[(df.cod >= 6001) & (df.cod <= 6012)]
In [4]: df_n['mese'] = ((df_n.cod - 6000) % 12) + 1
In [5]: ind = ['chi', 'anno', 'loc']
In [6]: df_n['cassa_t'] = 0
In [7]: df_ind = df.set_ind... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6024/events | https://github.com/pandas-dev/pandas/pull/6024 | 26,007,508 | MDExOlB1bGxSZXF1ZXN0MTE3MTYyMDE= | 6,024 | PERF: apply perf enhancements | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-21T15:16:05Z | 2014-06-26T18:44:46Z | 2014-01-21T21:44:21Z | CONTRIBUTOR | null | added vbenches and make most apply operations a fair bit faster
closes #6013
I can't put this one in the vbench as its cython based, but previously was about 100ms (on my machine)
0.12 clocks in at 15ms (the remaining difference in time is due to the sub-indexing, e.g. x['a'] which in theory could also be speeded but... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6025/events | https://github.com/pandas-dev/pandas/issues/6025 | 26,013,727 | MDU6SXNzdWUyNjAxMzcyNw== | 6,025 | SettingWithCopyWarning for string manipulation in dataframes with a non-monotonic index | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-21T16:36:28Z | 2014-01-23T08:49:55Z | 2014-01-23T02:24:57Z | NONE | null | Hi,
I get a SettingWithCopyWarning for string manipulation in dataframes with a non-monotonic index.
```
SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_index,col_indexer] = value instead
```
This only happens if the integer index skips a value. The code... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6026/events | https://github.com/pandas-dev/pandas/issues/6026 | 26,016,253 | MDU6SXNzdWUyNjAxNjI1Mw== | 6,026 | Segfault when modifying pandas.DataFrame in-place after creating from numpy recarray | {
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"followers_url": "https://api.github.com/users/... | 6 | 2014-01-21T17:09:39Z | 2014-01-24T12:57:56Z | 2014-01-21T23:06:39Z | CONTRIBUTOR | null | The following code generates a segfault when `use_records` is True. This segfault only occurs when the DataFrame is generated from a record array and then I attempt to modify the series in-place. This was not an issue in the previous release (v0.12) of Pandas. Tested this code against 0.13.0-268-g08c1302.
```
impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6027/events | https://github.com/pandas-dev/pandas/issues/6027 | 26,021,325 | MDU6SXNzdWUyNjAyMTMyNQ== | 6,027 | BUG: strange behaviour of .index.min() | {
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```
>>> import pandas as pd
>>> pd.__version__
'0.13.0-268-g08c1302'
>>> df = pd.DataFrame({"A": [1]})
>>> df.index
Int64Index([0], dtype='int64')
>>> min(df.index)
0
>>> type(min(df.index))
<type 'num... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6028/events | https://github.com/pandas-dev/pandas/pull/6028 | 26,023,220 | MDExOlB1bGxSZXF1ZXN0MTE3MjU0NzE= | 6,028 | BUG: Bug in Series construction of mixed type with datelike and an integer | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6029/events | https://github.com/pandas-dev/pandas/issues/6029 | 26,049,535 | MDU6SXNzdWUyNjA0OTUzNQ== | 6,029 | ENH: read_html has no timeout | {
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"labels_url": "htt... | 16 | 2014-01-21T22:15:37Z | 2014-01-27T01:50:11Z | 2014-01-27T01:50:11Z | CONTRIBUTOR | null | Is there any reason why a user cannot pass in a timeout to read_html? I have a bunch of scripts that parse some tables on the web and was having an issue with a site when I noticed it.
If I add a pr for timeout, how would I test it?
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https://api.github.com/repos/pandas-dev/pandas/issues/6030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6030/events | https://github.com/pandas-dev/pandas/issues/6030 | 26,049,815 | MDU6SXNzdWUyNjA0OTgxNQ== | 6,030 | DOC: autosummary table summary lines (sphinx 1.2.1) | {
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] | closed | false | null | [] | null | 7 | 2014-01-21T22:19:40Z | 2014-11-09T14:48:09Z | 2014-11-09T14:37:13Z | MEMBER | null | Related to #5899.
With the release of Sphinx 1.2.1, there is also a change in the behaviour of `sphinx.ext.autosummary` in how to define the text shown in the autosummary table (the tables you see here: http://pandas.pydata.org/pandas-docs/dev/api.html).
See:
- sphinx issue: https://bitbucket.org/birkenfeld/sphinx/is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6031/events | https://github.com/pandas-dev/pandas/pull/6031 | 26,050,929 | MDExOlB1bGxSZXF1ZXN0MTE3MzUxMDU= | 6,031 | BUG: Possible segfault when chained indexing with an object array under numpy 1.7.1 (GH6016) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6032/events | https://github.com/pandas-dev/pandas/issues/6032 | 26,062,243 | MDU6SXNzdWUyNjA2MjI0Mw== | 6,032 | Creating Series from DatetimeIndex w/ tz loses tz info | {
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"labels_url": "htt... | 29 | 2014-01-22T02:22:44Z | 2014-02-20T14:23:08Z | 2014-02-19T14:30:24Z | CONTRIBUTOR | null | The original `DatetimeIndex` has the `tz`:
```
In [1]: pd.DatetimeIndex(
...: pd.tseries.tools.to_datetime(['2013-1-1 13:00'], errors="raise")).tz_localize('US/Pacific')[0]
Out[1]: Timestamp('2013-01-01 13:00:00-0800', tz='US/Pacific')
```
But when converted to a `Series`, the `tz` info is lost:
```
In [2]: p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6033/events | https://github.com/pandas-dev/pandas/issues/6033 | 26,067,315 | MDU6SXNzdWUyNjA2NzMxNQ== | 6,033 | isnull not working for object series with NaT | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-22T05:12:49Z | 2014-01-23T03:55:50Z | 2014-01-23T03:55:50Z | CONTRIBUTOR | null | ```
In [694]:
series = pd.Series([pd.NaT, '1'])
series[~pd.isnull(series)]
Out[694]:
0 NaN
1 1
dtype: object
```
Possibly related: https://github.com/pydata/pandas/issues/5967#issuecomment-32468477
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https://api.github.com/repos/pandas-dev/pandas/issues/6034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6034/events | https://github.com/pandas-dev/pandas/pull/6034 | 26,074,655 | MDExOlB1bGxSZXF1ZXN0MTE3NDgxOTQ= | 6,034 | FIX: extend access to `quotechar` param in `DataFrame.to_csv` | {
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"labels_url": "htt... | 7 | 2014-01-22T08:54:47Z | 2014-06-23T14:29:47Z | 2014-01-31T07:46:11Z | CONTRIBUTOR | null | Existing `pandas.core.format.CSVFormatter` param `quotechar` can now be
specified as keyword arg to `DataFrame.to_csv`
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https://api.github.com/repos/pandas-dev/pandas/issues/6035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6035/events | https://github.com/pandas-dev/pandas/issues/6035 | 26,077,848 | MDU6SXNzdWUyNjA3Nzg0OA== | 6,035 | to_csv chokes if not passed sep as a string, even when encoding is set to unicode | {
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... | 10 | 2014-01-22T09:55:58Z | 2016-08-01T10:16:55Z | 2016-08-01T10:16:54Z | CONTRIBUTOR | null | I am using anaconda python 2.7, pandas 0.12.0, with `from __future__ import unicode_literals`
#### The bug
When I call `dataframe.to_csv(fname, sep=sep, index=index, float_format=float_format, **csvkwargs)` and pass in `sep=','`, pandas throws an exception:
```
File "C:\Anaconda\lib\site-packages\pandas\core\frame... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6036/events | https://github.com/pandas-dev/pandas/issues/6036 | 26,081,419 | MDU6SXNzdWUyNjA4MTQxOQ== | 6,036 | Segmentation fault: 11 on nosetests | {
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```
$ nosetests pandas
................/Users/v/.virtual_envs/system/lib/python2.7/site-packages/pandas/core/index.py:910: RuntimeWarning: tp_compare didn't return -1 or -2 for exception
result.sort()
................../Users/v/.virtual_envs/system/lib/python2.7/sit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6037/events | https://github.com/pandas-dev/pandas/issues/6037 | 26,097,084 | MDU6SXNzdWUyNjA5NzA4NA== | 6,037 | Python crashes after string strip | {
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``` python
import pandas as pd
input_file = r"c3.csv"
input_df = pd.read_csv(input_file)
for col in input_df.columns: # strip whitespaces from string values
if input_df[col].dtype == object:
in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6038/events | https://github.com/pandas-dev/pandas/pull/6038 | 26,107,191 | MDExOlB1bGxSZXF1ZXN0MTE3NjY0MjE= | 6,038 | Make -NaN and -nan default NA values | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6039/events | https://github.com/pandas-dev/pandas/issues/6039 | 26,116,537 | MDU6SXNzdWUyNjExNjUzNw== | 6,039 | Boolean indexer assginment error | {
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Thank you!
``` python
import pandas as pd
df = pd.DataFrame(range(100), columns=['a'])
msk = df['a']<5
df['a']=df['a'].map(str)
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https://api.github.com/repos/pandas-dev/pandas/issues/6040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6040/events | https://github.com/pandas-dev/pandas/pull/6040 | 26,128,221 | MDExOlB1bGxSZXF1ZXN0MTE3Nzg5NTg= | 6,040 | TST: fix test that repr returns str | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6041/events | https://github.com/pandas-dev/pandas/pull/6041 | 26,131,371 | MDExOlB1bGxSZXF1ZXN0MTE3ODA4NDg= | 6,041 | ENH add show_dimensions display config | {
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"followers_url": "https://api.github.com/users/... | 14 | 2014-01-22T23:09:30Z | 2014-06-21T02:57:57Z | 2014-01-26T12:47:58Z | CONTRIBUTOR | null | see http://stackoverflow.com/questions/21293983/disabling-dataframe-dimensions-printing
If you've already done this @DSM054 apologies, just saw your comment... :s
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https://api.github.com/repos/pandas-dev/pandas/issues/6042 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6042/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6042/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6042/events | https://github.com/pandas-dev/pandas/pull/6042 | 26,132,011 | MDExOlB1bGxSZXF1ZXN0MTE3ODEyMTc= | 6,042 | BUG: less false positives with SettingWithCopy (GH6025) | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-22T23:20:22Z | 2014-06-19T06:37:29Z | 2014-01-23T02:24:57Z | CONTRIBUTOR | null | closes #6025
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https://api.github.com/repos/pandas-dev/pandas/issues/6043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6043/events | https://github.com/pandas-dev/pandas/issues/6043 | 26,135,038 | MDU6SXNzdWUyNjEzNTAzOA== | 6,043 | Inappropriate/inconsistent behavior in data assignment (v. 0.13) | {
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"description": "Related to indexing on s... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-23T00:19:54Z | 2014-01-23T08:20:10Z | 2014-01-23T01:30:42Z | CONTRIBUTOR | null | I find it convenient to store lists or series as elements in a dataframe. However, it seems panda gets confused if the iterable is the same length as the number of rows in the dataframe. Here's a minimal example:
``` python
matchmat_test = pd.DataFrame(index=[0,1],
columns=[1], dtype=list... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6044 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6044/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6044/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6044/events | https://github.com/pandas-dev/pandas/pull/6044 | 26,137,597 | MDExOlB1bGxSZXF1ZXN0MTE3ODQ1OTk= | 6,044 | BUG: Bug in setting using fancy indexing a single element with a non-scalar (e.g. a list) (GH6043) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6045 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6045/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6045/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6045/events | https://github.com/pandas-dev/pandas/pull/6045 | 26,175,284 | MDExOlB1bGxSZXF1ZXN0MTE4MDYxNzc= | 6,045 | CLN: ipython expects None from _repr_html_ to signal no html repr GH5922 | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-23T15:47:32Z | 2014-07-16T08:22:53Z | 2014-01-23T15:48:05Z | NONE | null | ipython is still deciding what the proper convention is for supressing the warning.
turns out None has worked for previous versions as well, so let's just do that.
closes #5922
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https://api.github.com/repos/pandas-dev/pandas/issues/6046 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6046/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6046/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6046/events | https://github.com/pandas-dev/pandas/issues/6046 | 26,175,868 | MDU6SXNzdWUyNjE3NTg2OA== | 6,046 | Memory leak? | {
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``` python
import pandas as pd
import psutil
import gc
print('Before', psutil.phymem_usage())
df = pd.DataFrame({'a': range(int(4e7))})
print('After', psutil.phymem_usage())
del df
gc.collect()
print('After deleting', psutil.phymem_usage())
```
and got these results
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https://api.github.com/repos/pandas-dev/pandas/issues/6047 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6047/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6047/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6047/events | https://github.com/pandas-dev/pandas/issues/6047 | 26,176,005 | MDU6SXNzdWUyNjE3NjAwNQ== | 6,047 | TST: against PyTables 3.1 | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-23T15:55:50Z | 2014-01-26T16:11:50Z | 2014-01-26T16:11:50Z | CONTRIBUTOR | null | rc1 revealed some bugs/API changes; hopefully this will not cause a need for an API change w.r.t 3.1
This may be a blocker for 0.13.1 (as may need to put in some checks for this)
https://github.com/PyTables/PyTables/issues/326
https://github.com/PyTables/PyTables/issues/327
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https://api.github.com/repos/pandas-dev/pandas/issues/6048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6048/events | https://github.com/pandas-dev/pandas/issues/6048 | 26,176,968 | MDU6SXNzdWUyNjE3Njk2OA== | 6,048 | Unreliable test test_clipboard:test_round_trip_frame | {
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"labels_url": "htt... | 5 | 2014-01-23T16:06:45Z | 2016-10-12T23:04:32Z | 2014-02-03T17:16:00Z | NONE | null | ```
=============================================================================
FAILURE: test_round_trip_frame (pandas.io.tests.test_clipboard.TestClipboard)
-----------------------------------------------------------------------------
Traceback (most recent call last):
File "c:\Python33-AMD64\Lib\unittest\case.py"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6049/events | https://github.com/pandas-dev/pandas/issues/6049 | 26,188,333 | MDU6SXNzdWUyNjE4ODMzMw== | 6,049 | df.info() pd.options.display.max_info_rows == 1690785 | {
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Looks like pd.options.display.max_info_rows may be the culprit :smile:
Its strange since pd.options.display.max_rows == 60
``` python
In... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6050/events | https://github.com/pandas-dev/pandas/issues/6050 | 26,194,300 | MDU6SXNzdWUyNjE5NDMwMA== | 6,050 | divide does not work for Series of timedelta64[ns] | {
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```
In [38]: pd.Series([timedelta(1)])
Out[38]:
0 1 days, 00:00:00
dtype: timedelta64[ns]
```
This works:
```
In [36]: pd.Series([timedelta(1)])[0]/ np.timedelta64(1,'D')
Out[36]:
1.0
```
But this does not:
```
In [39]:
pd.Series([timedelta(1)])/ np.timedelta64(1,'D')
--------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6051/events | https://github.com/pandas-dev/pandas/issues/6051 | 26,197,701 | MDU6SXNzdWUyNjE5NzcwMQ== | 6,051 | BUG: read multi-index column csv with index_col=False borks | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6052/events | https://github.com/pandas-dev/pandas/issues/6052 | 26,198,656 | MDU6SXNzdWUyNjE5ODY1Ng== | 6,052 | BUG: formatters argument to DataFrame.to_latex() is broken | {
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"f... | 5 | 2014-01-23T21:11:30Z | 2021-04-11T04:09:44Z | null | MEMBER | null | It appears that neither the `formatters` nor `float_format` arguments to `DataFrame.to_latex` work if changed from their default values. Both raise the same exception: `AttributeError: 'numpy.float64' object has no attribute 'decode'`.
Note: neither of these arguments has test coverage in `pandas/tests/test_format.py`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6053/events | https://github.com/pandas-dev/pandas/pull/6053 | 26,199,914 | MDExOlB1bGxSZXF1ZXN0MTE4MjA5OTk= | 6,053 | BUG: Regression in .get(None) from 0.12 (GH5652) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6054/events | https://github.com/pandas-dev/pandas/pull/6054 | 26,200,790 | MDExOlB1bGxSZXF1ZXN0MTE4MjE0NDg= | 6,054 | DOC: Clarify that DataFrame string formatters must return strings | {
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"labels_url": "htt... | 2 | 2014-01-23T21:41:08Z | 2015-09-11T05:19:16Z | 2014-02-14T17:38:07Z | MEMBER | null | I am not 100% sure that string formatters must really return _unicode_ strings
(non-unicode strings seem to work, too), but I am leaving that because it's
what is already documented.
related #6052
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https://api.github.com/repos/pandas-dev/pandas/issues/6055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6055/events | https://github.com/pandas-dev/pandas/pull/6055 | 26,216,618 | MDExOlB1bGxSZXF1ZXN0MTE4MzA5NTA= | 6,055 | ENH Add MultiIndex.from_product convenience function | {
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"followers_url": "https://api.github.com/users/... | 13 | 2014-01-24T03:00:50Z | 2021-09-04T21:18:45Z | 2014-01-25T23:21:53Z | CONTRIBUTOR | null | Following up on this [StackOverflow post](http://stackoverflow.com/questions/21316628/make-a-pandas-multiindex-from-a-product-of-iterables).
This is a convenience function for when you have a set of iterables and you want to make a MultiIndex with each unique paring of the values in those iterables.
~~I'm testing it ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6056/events | https://github.com/pandas-dev/pandas/issues/6056 | 26,232,487 | MDU6SXNzdWUyNjIzMjQ4Nw== | 6,056 | BUG: SEGFAULT when assigning nan via iloc | {
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``` python
>>> df.dtypes
ask float64
bbg object
bid float64
last float64
quotetime object
size float64
snap object
snaptime float64
tradedate datetime64[ns]
t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6057/events | https://github.com/pandas-dev/pandas/issues/6057 | 26,238,065 | MDU6SXNzdWUyNjIzODA2NQ== | 6,057 | tail() fails on empty DataFrames | {
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```
>>> df = pd.DataFrame()
>>> print df.head()
Empty DataFrame
Columns: []
Index: []
[0 rows x 0 columns]
>>> print df.tail()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6058/events | https://github.com/pandas-dev/pandas/pull/6058 | 26,242,697 | MDExOlB1bGxSZXF1ZXN0MTE4NDU1NDk= | 6,058 | TST/DOC: addtl tests and docs for (GH6056) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6059/events | https://github.com/pandas-dev/pandas/issues/6059 | 26,243,104 | MDU6SXNzdWUyNjI0MzEwNA== | 6,059 | DOC: doc building deps | {
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"followers_url": "https://api.github.com/users/... | 30 | 2014-01-24T14:19:50Z | 2014-01-25T01:10:54Z | 2014-01-24T16:38:08Z | CONTRIBUTOR | null | - [x] add sphinx/ipython to print_versions.py #6064
- ~~[ ] drop support scikit.timeseries in docs (and remove from print_versions.py)~~
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https://api.github.com/repos/pandas-dev/pandas/issues/6060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6060/events | https://github.com/pandas-dev/pandas/issues/6060 | 26,243,497 | MDU6SXNzdWUyNjI0MzQ5Nw== | 6,060 | DEPR: drop support of scikit.timeseries (in docs) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6061/events | https://github.com/pandas-dev/pandas/issues/6061 | 26,244,537 | MDU6SXNzdWUyNjI0NDUzNw== | 6,061 | df.to_csv should mirror df.to_html | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6062/events | https://github.com/pandas-dev/pandas/issues/6062 | 26,245,175 | MDU6SXNzdWUyNjI0NTE3NQ== | 6,062 | to_html for a row-wise empty dataframe should print the header | {
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"labels_url": "htt... | 2 | 2014-01-24T14:51:30Z | 2014-03-14T17:39:42Z | 2014-03-14T17:39:42Z | CONTRIBUTOR | null | I'd expect the output of
```
pd.DataFrame(columns=["asdf", "bsdf"]).to_html()
```
to be essentially `<th>asdf</th><th>bsdf</th>` as an html table. This would be a lot more homogeneous. The current output is pretty useless, being basically `repr(df)`.
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https://api.github.com/repos/pandas-dev/pandas/issues/6063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6063/events | https://github.com/pandas-dev/pandas/issues/6063 | 26,246,987 | MDU6SXNzdWUyNjI0Njk4Nw== | 6,063 | Changes in .ix behavior that break backwards compat | {
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E.g. `.ix[row][col_name] = x` used to work but doesn't. Sometimes `.ix[row, col_name] = x` also doesn't work and I have to use `.loc[row, col_name] = x` instead although the docs state that .ix[] j... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6064/events | https://github.com/pandas-dev/pandas/pull/6064 | 26,253,046 | MDExOlB1bGxSZXF1ZXN0MTE4NTE0ODE= | 6,064 | BLD: add IPython and sphinx to show_versions #6059 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6065 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6065/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6065/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6065/events | https://github.com/pandas-dev/pandas/pull/6065 | 26,262,813 | MDExOlB1bGxSZXF1ZXN0MTE4NTY5NTA= | 6,065 | BUG: suble iloc indexing bug with single block and multi-axis indexing (surfaced in GH6059) | {
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very subtle iloc bug that requires both axis slicing then trying dtypes
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https://api.github.com/repos/pandas-dev/pandas/issues/6066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6066/events | https://github.com/pandas-dev/pandas/issues/6066 | 26,262,883 | MDU6SXNzdWUyNjI2Mjg4Mw== | 6,066 | df[0:1] row select fails with Float64Index on 0.13.0 | {
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Currently in 0.13.0 trying df[0:1] on a dataframe with a Float64Index fails.
Is there a better way ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6067/events | https://github.com/pandas-dev/pandas/issues/6067 | 26,263,261 | MDU6SXNzdWUyNjI2MzI2MQ== | 6,067 | TST: BOM in test_ujson.py? | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-24T19:05:11Z | 2014-01-26T03:33:33Z | 2014-01-26T03:33:33Z | CONTRIBUTOR | null | Is there some reason that `test_ujson.py` starts with a UTF-8 BOM, or was it introduced accidentally? Can't think of why you'd want one there, but maybe I'm missing something.
```
>>> open("test_ujson.py").readline()
'\xef\xbb\xbffrom unittest import TestCase\n'
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6068/events | https://github.com/pandas-dev/pandas/pull/6068 | 26,263,629 | MDExOlB1bGxSZXF1ZXN0MTE4NTc0NjM= | 6,068 | ENH: Keep series name when merging GroupBy result | {
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"labels_url": "htt... | 18 | 2014-01-24T19:10:46Z | 2014-07-06T10:27:46Z | 2014-03-05T21:58:54Z | CONTRIBUTOR | null | closes #6124
closes #6265
## Use case
This will facilitate DataFrame group/apply transformations when using a function that returns a Series. Right now, if we perform the following:
```
import pandas
df = pandas.DataFrame(
{'a': [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2],
'b': [0, 0, 1, 1, 0, 0, 1, 1, ... | {
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"labels_url": "htt... | 6 | 2014-01-24T19:37:01Z | 2014-01-30T04:18:45Z | 2014-01-30T04:18:45Z | CONTRIBUTOR | null | There are two strange things in `computation/tests/test_eval.py`.
First, in `check_complex_cmp_op`:
```
elif _bool_and_frame(lhs, rhs):
self.assertRaises(TypeError, _eval_single_bin, lhs_new, '&',
rhs_new, self.engine)
self.assertRaises(TypeError, pd.eval, ex,
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https://api.github.com/repos/pandas-dev/pandas/issues/6070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6070/events | https://github.com/pandas-dev/pandas/issues/6070 | 26,267,268 | MDU6SXNzdWUyNjI2NzI2OA== | 6,070 | <redacted> | {
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] | closed | false | null | [] | null | 2 | 2014-01-24T20:06:14Z | 2014-01-24T20:30:37Z | 2014-01-24T20:30:37Z | NONE | null | https://github.com/pydata/pandas/issues/4469#issuecomment-33254054
is it official or not?
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https://api.github.com/repos/pandas-dev/pandas/issues/6071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6071/events | https://github.com/pandas-dev/pandas/issues/6071 | 26,273,586 | MDU6SXNzdWUyNjI3MzU4Ng== | 6,071 | BUG: DataFrame.corrwith returns a vector of NaN when DataFrame is square | {
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"labels_url": "htt... | 3 | 2014-01-24T21:48:40Z | 2014-02-22T13:40:44Z | 2014-02-22T13:40:44Z | NONE | null | In [1]: import pandas as pd
...: import numpy as np
In [2]: mat = np.random.randn(5,6)
...: q = pd.DataFrame(mat, columns=['a','b','c','d','e','f'])
In [3]: a = q.corrwith(q['a'])
...: print(a)
a 1.000000
b 0.003617
c -0.025690
d 0.586906
e 0.654205
f -0.159210
dtype: float64
In [4]: a = q[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6072/events | https://github.com/pandas-dev/pandas/pull/6072 | 26,277,438 | MDExOlB1bGxSZXF1ZXN0MTE4NjU3MDk= | 6,072 | DOC: Explain the use of NDFrame.equals | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6073/events | https://github.com/pandas-dev/pandas/issues/6073 | 26,278,718 | MDU6SXNzdWUyNjI3ODcxOA== | 6,073 | Reminder: doc fixes to infer_datetime merged PR | {
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which cause exceptions when building the docs.
Putting this here to remind us to ensure it's fixed before tagging the release
@danbirken will probably have a PR ready soon.
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https://api.github.com/repos/pandas-dev/pandas/issues/6074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6074/events | https://github.com/pandas-dev/pandas/pull/6074 | 26,278,990 | MDExOlB1bGxSZXF1ZXN0MTE4NjY3MTE= | 6,074 | TST: Fix test_eval.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6075/events | https://github.com/pandas-dev/pandas/pull/6075 | 26,279,837 | MDExOlB1bGxSZXF1ZXN0MTE4NjcyNDI= | 6,075 | Pr ipython directive context | {
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Running Sphinx v1.1.3
loading pickled environment... not yet created
loading intersphinx inventory from http://statsmodels.sourceforge.net/devel/objects.inv...
loading intersphinx inventory from http://docs.python.org/objects.inv...
building [html]: targets for 2 source files that are out of date
updating environme... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6076/events | https://github.com/pandas-dev/pandas/issues/6076 | 26,280,292 | MDU6SXNzdWUyNjI4MDI5Mg== | 6,076 | BUG/ENH: cross sectional on a Sparse DataFrame is unimplemented/buggy | {
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```
import numpy as np
import pandas as pd
df = pd.DataFrame(np.arange(15).reshape(5,3), index=list('abcde'))
df.loc['b',1] = np.nan # for good measure...
sparse = df.to_sparse()
sparse[1] # This is OK.
df.loc['b'] # This is al... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6077/events | https://github.com/pandas-dev/pandas/issues/6077 | 26,281,942 | MDU6SXNzdWUyNjI4MTk0Mg== | 6,077 | MIGRATE: move stats code to statsmodels / deprecate in pandas | {
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- [ ] OLS https://github.com/statsmodels/statsmodels/blob/master/statsmodels/regression/linear_model.py
- [ ] plm (regression for panels)
- [ ] fama_macbeth
- [ ] VAR https://github.com/statsmodels/statsmodels/tree/master/statsmodels/tsa/vector_ar
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Fixes #6073
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http://nipy.bic.berkeley.edu/tgrid?category=pandas
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https://api.github.com/repos/pandas-dev/pandas/issues/6080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6080/events | https://github.com/pandas-dev/pandas/pull/6080 | 26,283,015 | MDExOlB1bGxSZXF1ZXN0MTE4NjkyNjg= | 6,080 | BUG: fix broken BigqueryError reference | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6081/events | https://github.com/pandas-dev/pandas/issues/6081 | 26,283,707 | MDU6SXNzdWUyNjI4MzcwNw== | 6,081 | TST: test_reshape.py issues | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-25T01:41:18Z | 2014-01-31T14:53:15Z | 2014-01-31T14:53:15Z | CONTRIBUTOR | null | `test_custom_var_and_value_name` refers to several variables which aren't defined, namely `df`, `var_name`, and `value_name`, all of which should probably have `self.` in front of them:
```
result18 = melt(df, id_vars=['id1', 'id2'],
value_vars='A', var_name=self.var_name, value_name=se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6082/events | https://github.com/pandas-dev/pandas/pull/6082 | 26,283,892 | MDExOlB1bGxSZXF1ZXN0MTE4Njk3OTA= | 6,082 | BLD/DOC: report context on warnings and add :okwarning: to ipython_directive | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-25T01:48:20Z | 2014-07-16T08:48:53Z | 2014-01-25T01:48:26Z | NONE | null | I plan to get this upstream soon, unless joris find bugs.
Reports context on warnings just like recently added context for raised exceptions.
adds :okwarning: option to ipython directive to suppress them.
```
reading sources... [ 6%] basics
>>>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6083/events | https://github.com/pandas-dev/pandas/pull/6083 | 26,284,394 | MDExOlB1bGxSZXF1ZXN0MTE4NzAwNTk= | 6,083 | BUG: not converting scalars properly to M8/m8 on assignment (GH6079) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6084/events | https://github.com/pandas-dev/pandas/pull/6084 | 26,286,860 | MDExOlB1bGxSZXF1ZXN0MTE4NzEzMjk= | 6,084 | Added 'Experimental' to Docstrings For GBQ | {
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closes https://github.com/pydata/pandas/issues/5956
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https://api.github.com/repos/pandas-dev/pandas/issues/6085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6085/events | https://github.com/pandas-dev/pandas/issues/6085 | 26,292,228 | MDU6SXNzdWUyNjI5MjIyOA== | 6,085 | BUG: df.groupby(TimeGrouper(freq='48min', closed='right')) | {
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... | 6 | 2014-01-25T12:40:21Z | 2018-07-06T22:27:32Z | 2018-07-06T22:27:32Z | NONE | null | related: #4197, #5694
I'm encoutering a bug in pandas 0.13.0:
``` python
df = pandas.read_hdf('d:\\dropbox\\s.h5', 'data')
df.groupby(TimeGrouper(freq='48min', closed='right'))
```
```
Traceback (most recent call last):
File "D:/Dropbox/hf/tests/hdf.py", line 94, in <module>
main()
File "D:/Dropbox/hf/tests/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6086/events | https://github.com/pandas-dev/pandas/pull/6086 | 26,292,646 | MDExOlB1bGxSZXF1ZXN0MTE4NzM4MDc= | 6,086 | DOC: suppress warnings with okwarning in whatsnew | {
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Some of them are deprecation warnings, so from older functinality. We could also change the code example, but since it's from whatsnew I think it's more logical to leave it as it is (when they start to generate er... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6087/events | https://github.com/pandas-dev/pandas/issues/6087 | 26,292,719 | MDU6SXNzdWUyNjI5MjcxOQ== | 6,087 | DOC: warnings with new panel apply functionality | {
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There are two warnings remaining in the doc building, both coming from new `panel.apply` functionality:
```
>>>-------------------------------------------------------------------------
Warning in source/v0.13.1.txt at block ending on line 142
------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6088/events | https://github.com/pandas-dev/pandas/pull/6088 | 26,292,739 | MDExOlB1bGxSZXF1ZXN0MTE4NzM4NDg= | 6,088 | BUG: array_equivalent was not passing its own doctest. | {
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Also, the use of `pd.isnull` can be removed from `array_equivalent`. My thinking here was muddled. `pd.isnull` is only needed if `array_equivalent... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6089/events | https://github.com/pandas-dev/pandas/pull/6089 | 26,293,307 | MDExOlB1bGxSZXF1ZXN0MTE4NzQwNjA= | 6,089 | DOC: remove warnings in panel.apply docs (GH6087) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6090/events | https://github.com/pandas-dev/pandas/issues/6090 | 26,293,413 | MDU6SXNzdWUyNjI5MzQxMw== | 6,090 | DEPR: remove warning / suppress if indexes are equal | {
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I have to investigate more fully, but this warning
`/home/joris/scipy/pandas/pandas/core/frame.py:2805: FutureWarning: TimeSeries
broadcasting along DataFrame index by default is deprecated. Please use
DataFrame.<op> to explicitly broadcast arithmetic operations along the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6091/events | https://github.com/pandas-dev/pandas/issues/6091 | 26,293,568 | MDU6SXNzdWUyNjI5MzU2OA== | 6,091 | NWK: investigate unreliable tests for get_components_yahoo | {
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https://github.com/jreback/pandas/commit/928402e2bd69514a115a0274c06bde30f4057759
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https://api.github.com/repos/pandas-dev/pandas/issues/6092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6092/events | https://github.com/pandas-dev/pandas/issues/6092 | 26,294,583 | MDU6SXNzdWUyNjI5NDU4Mw== | 6,092 | BUG: algorithms._count_generic? | {
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"c... | closed | false | null | [] | null | 5 | 2014-01-25T15:24:14Z | 2014-02-25T23:26:49Z | 2014-02-25T23:26:49Z | CONTRIBUTOR | null | `algorithms._count_generic` returns a `Series` built from `counts`, which isn't defined:
```
def _count_generic(values, table_type, type_caster):
from pandas.core.series import Series
values = type_caster(values)
table = table_type(min(len(values), 1000000))
uniques, labels = table.factorize(values)
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https://api.github.com/repos/pandas-dev/pandas/issues/6093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6093/events | https://github.com/pandas-dev/pandas/issues/6093 | 26,294,923 | MDU6SXNzdWUyNjI5NDkyMw== | 6,093 | wonky test on travis TestHDFStore:test_append_with_data_columns | {
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======================================================================
FAIL: test_append_with_data_columns (pandas.io.tests.test_pytables.TestHDFStore)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/travis/virtualenv/python3.2_with_system_site... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6094/events | https://github.com/pandas-dev/pandas/pull/6094 | 26,295,228 | MDExOlB1bGxSZXF1ZXN0MTE4NzQ3ODU= | 6,094 | BUG: ensure plt is imported before it's used in hist_frame | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6095/events | https://github.com/pandas-dev/pandas/pull/6095 | 26,296,713 | MDExOlB1bGxSZXF1ZXN0MTE4NzUzNDI= | 6,095 | DOC: beef up tutorial section. GH5837 | {
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For the record, I'm somewhat skeptical of this google search results type documentation,
but then I said the same thing about the cookbook at the time.
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https://api.github.com/repos/pandas-dev/pandas/issues/6096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6096/events | https://github.com/pandas-dev/pandas/issues/6096 | 26,296,940 | MDU6SXNzdWUyNjI5Njk0MA== | 6,096 | DOC: track status for stale comment in gbq docs | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-01-25T17:25:44Z | 2014-06-30T19:30:22Z | 2014-06-30T19:30:22Z | NONE | null | https://github.com/pydata/pandas/pull/5179 introduced the following warning
```
As of 10/10/13, there is a bug in Google’s API preventing result sets from being
larger than 100,000 rows. A patch is scheduled for the week of 10/14/13.
```
@jacobschaer, is this still valid?
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https://api.github.com/repos/pandas-dev/pandas/issues/6097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6097/events | https://github.com/pandas-dev/pandas/pull/6097 | 26,297,009 | MDExOlB1bGxSZXF1ZXN0MTE4NzU0NTc= | 6,097 | TST: don't compare inferred index freq on some tests as it may not be preserved (which is correct) | {
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-25T21:26:44Z | 2014-01-27T03:13:01Z | 2014-01-27T02:36:53Z | NONE | null | ## IPython snippet reproducing the problem
``` python
import pandas as pd
import numpy as np
df = pd.DataFrame({u'clé1': [u'a', u'a', u'b', u'b', u'a'],
u'clé2': [u'1er', u'2ème', u'1er', u'2ème', u'1er'],
'données1': np.random.randn(5),
'données2': np.random.ra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6099/events | https://github.com/pandas-dev/pandas/pull/6099 | 26,301,564 | MDExOlB1bGxSZXF1ZXN0MTE4NzcyNDM= | 6,099 | BUG: in HTMLFormatter._write_header(), str() fails on column names in unicode | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-25T21:31:53Z | 2014-06-24T23:13:28Z | 2014-01-27T03:13:14Z | NONE | null | Issue #6098
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https://api.github.com/repos/pandas-dev/pandas/issues/6100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6100/events | https://github.com/pandas-dev/pandas/issues/6100 | 26,302,236 | MDU6SXNzdWUyNjMwMjIzNg== | 6,100 | DOC/BLD: attributes initialized as None not picked up by autosummary anymore | {
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... | 11 | 2014-01-25T22:11:01Z | 2015-10-07T21:42:44Z | 2015-10-07T21:42:44Z | MEMBER | null | I already mentioned it here: https://github.com/pydata/pandas/issues/5899#issuecomment-32967854, but then this did not appear on the dev doc builds on the website and only locally on my computer. But now I also see it there. See eg http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.html#pandas.DataFram... | {
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