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https://api.github.com/repos/pandas-dev/pandas/issues/6101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6101/events | https://github.com/pandas-dev/pandas/pull/6101 | 26,306,493 | MDExOlB1bGxSZXF1ZXN0MTE4NzkzNzE= | 6,101 | TST: json test file, make encoding explicit | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-26T02:48:59Z | 2014-07-16T08:49:11Z | 2014-01-26T03:33:33Z | CONTRIBUTOR | null | Replace hidden BOM with explicit utf-8 encoding. closes #6067
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https://api.github.com/repos/pandas-dev/pandas/issues/6102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6102/events | https://github.com/pandas-dev/pandas/issues/6102 | 26,309,201 | MDU6SXNzdWUyNjMwOTIwMQ== | 6,102 | Installing 0.13.0 failed while building 'pandas.msgpack' extension. | {
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I've tried to install pandas 0.13.0 through `pip install pandas`, but failed to install it.
The last few lines of the error says:
```
fatal error: too many errors emitted, stopping now [-ferror-limit=]
1 warning and 20 errors generated.
error: command 'clang' failed with exit status 1
```
, and more detail... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6103/events | https://github.com/pandas-dev/pandas/issues/6103 | 26,313,393 | MDU6SXNzdWUyNjMxMzM5Mw== | 6,103 | Heads-up: Releasing 0.13.1 | {
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as a bugfix release stabilising 0.13.0, allowing us to start on the 3 month release cycle for 0.14.
Anything that isn't in 0.13.1 will have to wait until then to hit pypi.
Any objections, warnings or notes?
cc @jseabold , @yarikoptic, @j... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6105/events | https://github.com/pandas-dev/pandas/issues/6105 | 26,316,148 | MDU6SXNzdWUyNjMxNjE0OA== | 6,105 | get_options_data fails when given only the month | {
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```
goog_opt.get_options_data(month=3)
```
```
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/io/data.pyc in _get_option_data(self, month, year, expiry, table_loc, name)
639
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https://api.github.com/repos/pandas-dev/pandas/issues/6106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6106/events | https://github.com/pandas-dev/pandas/issues/6106 | 26,316,206 | MDU6SXNzdWUyNjMxNjIwNg== | 6,106 | pandas.Series.str raises wrong exception | {
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``` python
>>> import pandas
>>> pandas.Series.str
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "properties.pyx", line 25, in pandas.lib.cache_readonly.__get__ (pandas/lib.c:29334)
AttributeError: 'NoneType' object has no attribute '_cache... | {
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closes #5855
closes #5845
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https://api.github.com/repos/pandas-dev/pandas/issues/6110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6110/events | https://github.com/pandas-dev/pandas/pull/6110 | 26,321,868 | MDExOlB1bGxSZXF1ZXN0MTE4ODU1NTU= | 6,110 | CLN: Eliminate handful of test docstrings, use nose -v on travis | {
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outliers are getting in the way.
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https://api.github.com/repos/pandas-dev/pandas/issues/6111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6111/events | https://github.com/pandas-dev/pandas/pull/6111 | 26,324,019 | MDExOlB1bGxSZXF1ZXN0MTE4ODY0MjQ= | 6,111 | Replace network decorator with with_connectivity_check | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-26T22:20:36Z | 2014-06-13T01:11:38Z | 2014-01-28T03:13:56Z | CONTRIBUTOR | null | Network decorator was ignoring test failures due to API changes in external
services.
Closes #5816.
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https://api.github.com/repos/pandas-dev/pandas/issues/6112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6112/events | https://github.com/pandas-dev/pandas/pull/6112 | 26,328,394 | MDExOlB1bGxSZXF1ZXN0MTE4ODgyOTM= | 6,112 | BUG: HTMLFormatter does not die on unicode frame GH6098 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6115 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6115/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6115/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6115/events | https://github.com/pandas-dev/pandas/pull/6115 | 26,330,467 | MDExOlB1bGxSZXF1ZXN0MTE4ODkzMzg= | 6,115 | TST: add _skip_if_no_xlrd() to test GH5583 | {
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Noting that we don't seem to have min-dep coverage in travis.
cc @Jaydyou
wow. [that](https://github.com/pydata/pandas/pull/5995#issuecomment-33333749) sure payed itself off right quick.
cc @yarikoptic
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are... not my favorite kind.
```
Did something change in pandas recently that would effect
df.groupby('col')['date'].min()? Returning int64 instead of datetime64
```
cc @jreback
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https://api.github.com/repos/pandas-dev/pandas/issues/6117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6117/events | https://github.com/pandas-dev/pandas/pull/6117 | 26,336,898 | MDExOlB1bGxSZXF1ZXN0MTE4OTI1NzA= | 6,117 | TST: Add xlsm to Excel parsing tests. | {
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The test extends 3 of the existing Excel reader tests to also read from an `xlsm` (macro) file.
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works for line plots, bar plots, and kde plots. scatter plots don't seem to have a legend.
As usual, the plotting code is a tangled mess, I have no idea if this breaks something,
testing seems like a herculean task ... | {
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``` python
>>> data.shape
(2, 219, 104, 6)
>>> data.dtype
dtype('float64')
>>> df = pd.Panel(data[0]).to_frame().reset_index()
>>> df[0].dtype
dtype('float64')
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-27T11:09:40Z | 2014-01-27T13:04:29Z | 2014-01-27T12:57:15Z | CONTRIBUTOR | null | If you have a DataFrame with a repeated or non-unique column, then some assignments fail.
``` python
df = pd.DataFrame(np.random.randn(10,2), columns=['that', 'that'])
df2
Out[10]:
that that
0 1 1
1 1 1
2 1 1
3 1 1
4 1 1
5 1 1
6 1 1
7 1 1
8 1 ... | {
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"followers_url": "https://api.github.com/users/... | 4 | 2014-01-27T12:10:08Z | 2014-01-28T11:00:46Z | 2014-01-27T14:17:59Z | CONTRIBUTOR | null | We've found a problem where repeating a row and a column in a DataFrame fails with a "Cannot create BlockManager._ref_locs" assertion error.
The dataframe is very simple:
``` python
df = pd.DataFrame(np.arange(25.).reshape(5,5),
index=['a', 'b', 'c', 'd', 'e'],
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## Use case
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, 0, 0, 1, 1],
'c': ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6125/events | https://github.com/pandas-dev/pandas/issues/6125 | 26,359,308 | MDU6SXNzdWUyNjM1OTMwOA== | 6,125 | DataFrame.apply not working with datetimes | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-27T15:19:18Z | 2014-01-28T10:55:22Z | 2014-01-27T16:22:38Z | CONTRIBUTOR | null | When you use apply on a DataFrame with datetimes in, the result is unexpected. This is a dataframe with just integers and strings and the result is that we get the market names back out.
``` python
positions = pd.DataFrame([[1, 'ABC', 50], [1, 'YUM', 20],
[1, 'DEF', 20], [2, 'ABC', 50],
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I noticed that that numpy-style access breaks sometimes under 0.13. While I haven't been able to pin-point the issue, calls like `pylab.hist(-df.ix[row, col_name])` fail with some `x[0]` index error and I have to use `pylab.hist(-df.ix[row, col_name]).values`.
Here is a csv file for which this ... | {
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```
cannot import name SNDArray
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-inpu... | {
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"description": "Concat, Merge/Join, Stac... | closed | false | null | [] | {
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"closed_issues": 314,
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-27T17:24:19Z | 2014-01-27T17:58:18Z | 2014-01-27T17:58:10Z | NONE | null | Appending a Series to a DataFrame does not create new columns in the DataFrame for unmatched labels in the Series.
```
df = pd.DataFrame({'a': {'x': 1, 'y': 2}, 'b': {'x': 3, 'y': 4}})
row = pd.Series([5, 6, 7], index=['a', 'b', 'c'], name='z')
df = df.append(row)
print(df.to_string())
```
Result:
```
a b
x 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6130/events | https://github.com/pandas-dev/pandas/pull/6130 | 26,376,186 | MDExOlB1bGxSZXF1ZXN0MTE5MTE1MjE= | 6,130 | BUG: DataFrame.append when appending a row with different columns (GH6129) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6131 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6131/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6131/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6131/events | https://github.com/pandas-dev/pandas/issues/6131 | 26,376,393 | MDU6SXNzdWUyNjM3NjM5Mw== | 6,131 | Missing ellipsis cells in pivot_table.to_html when limited by max_cols and len(rows) > 1 | {
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},
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"closed_at": "2019-01-26T00:51:26Z",
"closed_issues": 2048,
"created_at": "2018-03-29T12:00:12Z",
"creator": {
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"followers_url": "https://api.github... | 8 | 2014-01-27T17:44:18Z | 2018-09-09T17:11:29Z | 2018-09-09T17:11:29Z | NONE | null | ``` python
import pandas
df = pandas.DataFrame([
{'a': 'aa', 'b': 'ba', 'c': 'ca', 'd': 1},
{'a': 'ab', 'b': 'bb', 'c': 'cc', 'd': 2},
{'a': 'ac', 'b': 'bc', 'c': 'cc', 'd': 3}
])
df.pivot_table(cols=['a'], rows=['b', 'c']).to_html(max_cols=2)
```
This renders like this:
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https://api.github.com/repos/pandas-dev/pandas/issues/6132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6132/events | https://github.com/pandas-dev/pandas/pull/6132 | 26,394,429 | MDExOlB1bGxSZXF1ZXN0MTE5MjAyMTE= | 6,132 | ENH get_dummies str method | {
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```
In [8]: s = pd.Series(['a|b', 'a|c', np.nan], list('ABC'))
In [9]: s.str.get_dummies('|')
Out[9]:
a b c
A 1 1 0
B 1 0 1
C 0 0 0
```
_iterates over each tag filling in with str.contains._
Edit: This works pretty fast with "few" tags (since I'm iterating over each tag), which I think i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6133/events | https://github.com/pandas-dev/pandas/pull/6133 | 26,402,517 | MDExOlB1bGxSZXF1ZXN0MTE5MjUxMjc= | 6,133 | DOC: clarify that ExcelFile is not deprecated but only moved (#5435) | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-27T22:59:24Z | 2014-07-16T08:49:48Z | 2014-01-28T01:05:02Z | MEMBER | null | closes #5435. Clarified that ExcelFile is not deprecated but just moved. I don't use Excel myself, so can somebody check if it makes sense what I wrote? (@
For now, I didn't add ExcelFile to api.rst (but ExcelFile.parse is already in there, so it is already in some way mentioned), as I am not sure if all it's methods ... | {
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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"labels_url": "htt... | 50 | 2014-01-27T23:12:15Z | 2014-06-13T23:55:57Z | 2014-02-04T13:28:55Z | NONE | null | Selection only. Did not check (nor care) about performance at this point.
Full Tests, vbenches and docs to follow in due course.
Please hold off on PEP8 comments or suggestions on how this could be made more complex.
I'd like to get something functional, solid and understandable in master fairly early in 0.14.
@jreb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6135/events | https://github.com/pandas-dev/pandas/pull/6135 | 26,418,380 | MDExOlB1bGxSZXF1ZXN0MTE5MzQzOTI= | 6,135 | ENH partial sorting for mi in sortlevel | {
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Still need to tweak the docstrings and stuff. But I think this is working.
cc @jtratner
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https://api.github.com/repos/pandas-dev/pandas/issues/6136 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6136/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6136/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6136/events | https://github.com/pandas-dev/pandas/issues/6136 | 26,421,388 | MDU6SXNzdWUyNjQyMTM4OA== | 6,136 | Failing test on win/py2.6/64, TestResample:test_how_lambda_functions | {
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```
=============================================================
=======================
FAILURE: test_how_lambda_functions (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6137 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6137/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6137/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6137/events | https://github.com/pandas-dev/pandas/pull/6137 | 26,422,189 | MDExOlB1bGxSZXF1ZXN0MTE5MzY0MzU= | 6,137 | PERF: fix JSON performance regression from 0.12 (GH5765) | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-28T08:05:02Z | 2014-06-14T21:42:59Z | 2014-01-28T12:40:18Z | CONTRIBUTOR | null | This fixes the main JSON performance regression in v0.13 (closes #5765). The main bottleneck was the use of intermediate NumPy scalars (from PR #4498). I introduced code to avoid the use of NumPy scalars. Also:
- checks current locale so locale fudging is only done if necessary
- added numpy 1.6 preprocessor switches ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6138 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6138/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6138/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6138/events | https://github.com/pandas-dev/pandas/pull/6138 | 26,428,597 | MDExOlB1bGxSZXF1ZXN0MTE5Mzk4NzY= | 6,138 | [DOC] install.rst: numexpr and anaconda warnings | {
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- There seem to exist rare but evil lurking bugs when using `numexpr` <= 2.2.2 and `numpy` >= 1.8.0 (#6119).
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https://api.github.com/repos/pandas-dev/pandas/issues/6139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6139/events | https://github.com/pandas-dev/pandas/issues/6139 | 26,428,936 | MDU6SXNzdWUyNjQyODkzNg== | 6,139 | dataframe.eval() can't work with 'cash' column ? | {
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>>> df
cash sales net_pft
STK_ID RPT_Date
600141 20120331 7.8427 21.0882 0.6560
20120630 7.5140 46.9515 1.5912
20120930 7.7667 74.0364 2.5173
20121231 17.2350 96.1204 2.9458
20130331 13.3643 25.0869 0.7267
2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6140/events | https://github.com/pandas-dev/pandas/issues/6140 | 26,430,593 | MDU6SXNzdWUyNjQzMDU5Mw== | 6,140 | DataFrame.from_records doesn't handle missing dates (None) | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-28T10:54:15Z | 2014-01-29T00:59:07Z | 2014-01-28T15:39:16Z | CONTRIBUTOR | null | When you construct a DataFrame from a numpy recarray with datetime data and None for missing dates you get an error.
``` python
arrdata = [np.array([datetime.datetime(2005, 3, 1, 0, 0), None])]
dtypes = [('EXPIRY', '<M8[m]')]
recarray = np.core.records.fromarrays(arrdata, dtype=dtypes)
df = pd.DataFrame.from_records(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6142/events | https://github.com/pandas-dev/pandas/pull/6142 | 26,438,139 | MDExOlB1bGxSZXF1ZXN0MTE5NDUzMzA= | 6,142 | BUG: Bug in DataFrame construction with recarray and non-ns datetime dtype (GH6140) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6143/events | https://github.com/pandas-dev/pandas/issues/6143 | 26,446,166 | MDU6SXNzdWUyNjQ0NjE2Ng== | 6,143 | PERF: update vbench historical displays | {
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ideally have this run say once a week
need a few more categories (to cover the newer stuff)
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https://api.github.com/repos/pandas-dev/pandas/issues/6145 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6145/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6145/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6145/events | https://github.com/pandas-dev/pandas/issues/6145 | 26,455,707 | MDU6SXNzdWUyNjQ1NTcwNw== | 6,145 | Describe() does not work properly on timedelta64 | {
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Test example:
```
xx = pd.DataFrame({'t1':pd.date_range('2010-01-01 00:00:00', freq='T', periods=10),
't2':pd.date_range('2010-01-01 00:00:00', freq='2T', periods=10)})
xx['dt'] = xx['t2']-xx['t1']
print xx
```
Then `... | {
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-28T17:57:27Z | 2014-01-28T18:21:12Z | 2014-01-28T18:21:12Z | CONTRIBUTOR | null | The `unique` and `nunique` attributes are very useful in conjunction with series groupby operations. I used these extensively in previous versions of Pandas whenever I needed to get a list of unique values for each subgroup (or the number of unique values). This can be used, for example, to count the number of subjec... | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-28T18:05:47Z | 2014-06-22T16:55:55Z | 2014-01-28T18:21:12Z | CONTRIBUTOR | null | Series.unique and Series.nunique are useful methods for querying the
unique elements (or number of unique elements) in each group when used
in conjunction with DataFrame.GroupBy. This commit addresses
closes pydata/pandas#6146.
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https://api.github.com/repos/pandas-dev/pandas/issues/6148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6148/events | https://github.com/pandas-dev/pandas/issues/6148 | 26,469,518 | MDU6SXNzdWUyNjQ2OTUxOA== | 6,148 | BUG: boolean query evaluation | {
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"followers_url": "https://api.github.com/users/... | 5 | 2014-01-28T19:37:34Z | 2016-10-12T23:04:34Z | 2014-01-29T03:54:13Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/21414959/querying-a-single-row-dataframe-with-anded-conditionals/21415119#21415119
cc @cpcloud
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"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... | 6 | 2014-01-28T20:17:55Z | 2014-02-15T23:16:11Z | 2014-02-15T23:16:11Z | CONTRIBUTOR | null | see also: http://stackoverflow.com/questions/21415432/pandas-v0-13-0-setting-dataframe-values-of-type-datetime64ns
~~I believe this changed from 0.12.~~ was the same in 0.12
Boils down to if the row indexer is a null-slice (IOW all rows are selected), should
dtype conversion be done or not (as it current)
```
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```
import numpy as np; import pandas as pd; import datetime
s = pd.Series([np.random.choice(pd.date_range(datetime.datetime(1992,1,1,0,0,0),datetime.datetime(2014,1,1,0,0,0),freq='H')) for i in range(1200)])
# s is datetime64 column.
```
In 0.12:
```
In [12]: %timei... | {
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We'll soon hit fundamental facts on errors in distributed systems.
#6144, hopefully.
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Fil... | {
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``` python
import pandas as pd
import numexpr as ne
a = list('abcdef')
b = range(6)
df = pd.DataFrame({'X':pd.Series(a),'Y': pd.Series(b)})
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https://api.github.com/repos/pandas-dev/pandas/issues/6158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6158/events | https://github.com/pandas-dev/pandas/pull/6158 | 26,494,136 | MDExOlB1bGxSZXF1ZXN0MTE5NzYxMzM= | 6,158 | BUG: allow lex string comparisons | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6159/events | https://github.com/pandas-dev/pandas/pull/6159 | 26,494,656 | MDExOlB1bGxSZXF1ZXN0MTE5NzY0MjQ= | 6,159 | BUG/API: df['col'] = value and df.loc[:,'col'] = value are now completely equivalent | {
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closes #6149
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https://api.github.com/repos/pandas-dev/pandas/issues/6160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6160/events | https://github.com/pandas-dev/pandas/issues/6160 | 26,495,474 | MDU6SXNzdWUyNjQ5NTQ3NA== | 6,160 | Assignment by Attribute has Odd Behavior | {
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"color": "AD... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2014-01-29T03:04:45Z | 2017-07-10T12:00:06Z | 2017-07-10T12:00:01Z | CONTRIBUTOR | null | When assigning to a column in a DataFrame, If I assign an existing column, the assignment works:
```
In [36]: df = pd.DataFrame({'a':[1,2,12], 'b':['a','b','a']})
In [37]: df.b = df.a
In [38]: print df
a b
0 1 1
1 2 2
2 12 12
[3 rows x 2 columns]
```
but assigning to a new column fails silently:
```... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6161/events | https://github.com/pandas-dev/pandas/issues/6161 | 26,495,680 | MDU6SXNzdWUyNjQ5NTY4MA== | 6,161 | ewma does not work on Panel | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2014-01-29T03:11:27Z | 2018-07-06T20:21:03Z | 2017-07-10T21:09:42Z | CONTRIBUTOR | null | I would expect to be able to perform an `ewma` over each minor axis within each major axis:
```
In [52]:
wp = pd.Panel(np.random.randn(2, 4, 5), items=['Item1', 'Item2'],
minor_axis=pd.date_range('1/1/2000', periods=5),
major_axis=['A', 'B', 'C', 'D'])
In [57]:
wp
Out[57]:
<class 'panda... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6162/events | https://github.com/pandas-dev/pandas/issues/6162 | 26,496,006 | MDU6SXNzdWUyNjQ5NjAwNg== | 6,162 | Incorrect Statement in Docs for Advanced indexing with hierarchical index | {
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] | closed | false | null | [] | null | 5 | 2014-01-29T03:21:59Z | 2014-03-22T21:27:12Z | 2014-03-22T21:27:05Z | CONTRIBUTOR | null | See: http://pandas.pydata.org/pandas-docs/dev/indexing.html#advanced-indexing-with-hierarchical-index, where it states:
"The following does not work, and it’s not clear if it should or not:"
```
>>> df.ix[['bar', 'qux']]
```
That does work. See for example:
```
In [65]:
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"followers_url": "https://api.github.com/users/... | 6 | 2014-01-29T03:26:59Z | 2014-06-21T19:28:05Z | 2014-01-29T03:54:13Z | MEMBER | null | closes #6148
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"followers_url": "https://api.github.com/users/... | 11 | 2014-01-29T06:49:35Z | 2014-06-20T19:03:14Z | 2014-01-29T20:26:50Z | CONTRIBUTOR | null | fixes #4110 #4304
#4304 rebased and passes travis.
cc @y-p
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https://api.github.com/repos/pandas-dev/pandas/issues/6165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6165/events | https://github.com/pandas-dev/pandas/issues/6165 | 26,503,929 | MDU6SXNzdWUyNjUwMzkyOQ== | 6,165 | Add Indexer for MultiIndex | {
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http://stackoverflow.com/questions/15520408/how-to-index-into-a-pandas-multindex-with-ix
http://stackoverflow.com/questions/21234279/selection-with-hierarchical-index-getting-subset-of-the-dataframe
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Test that faile... | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-29T10:59:31Z | 2014-06-16T09:44:30Z | 2014-01-29T15:39:38Z | CONTRIBUTOR | null | Appending to an existing table with a multiindex failed as data_columns is set to [] but compared with None
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"color": "AD... | closed | false | null | [] | null | 7 | 2014-01-29T13:42:18Z | 2014-09-18T17:53:08Z | 2014-01-29T14:36:31Z | NONE | null | Previously (version 0.11) it was possible to generate a boolean Series, and use that to index a numpy array. Version 0.13.0 breaks this behaviour and raises "IndexError: unsupported iterator index"
``` python
import numpy as np
import pandas as pd
rng = np.arange(5)
rng[rng > 2] ... | {
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"followers_url": "https://api.github.com/users/... | 6 | 2014-01-29T15:24:50Z | 2014-01-31T13:32:00Z | 2014-01-31T13:32:00Z | CONTRIBUTOR | null | I'm running in what seems to be a bug.
I'm using pandas version '0.13.0rc1-29-ga0a527b' from github, python 3.3 on a linux Mint 15 64 bits.
Here's a minimal example that fails:
``` python
import numpy as np
import pandas as pd
index = pd.MultiIndex(levels=[['foo', 'bar', 'baz', 'qux'],
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Bug: `mangle_dupe_cols` cannot work while the header is a list.
Originally, `has_mi_columns` will be set as 1 while the header is a list. And the `mangle_dupe_cols` things would not work when `has_mi_columns` == 1.
This pull request is to
1. for the list with single element, for example [0], the `ha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6171 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6171/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6171/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6171/events | https://github.com/pandas-dev/pandas/issues/6171 | 26,530,006 | MDU6SXNzdWUyNjUzMDAwNg== | 6,171 | Assignments: numerics, strings and .loc | {
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"followers_url": "https://api.github.com/users/... | 20 | 2014-01-29T15:56:50Z | 2014-01-29T19:48:08Z | 2014-01-29T17:23:04Z | CONTRIBUTOR | null | Why would assigning an entire column to an array of values work differently with numbers vs strings?
**Assigning numeric values:**
``` python
>>> df = pd.DataFrame(columns=['x', 'y'])
>>> df['x'] = [1, 2]
>>> df
x y
0 1 NaN
1 2 NaN
```
**Assigning string values:**
``` python
>>> df = pd.DataFrame(columns=... | {
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"followers_url": "https://api.github... | 2 | 2014-01-29T17:09:52Z | 2018-11-23T02:38:12Z | 2018-11-23T02:38:12Z | CONTRIBUTOR | null | According to the latest v0.13 docs `.loc` can append, but can it (or rather, should it?) append more than one value at once?
**Setting multiple via .loc:**
``` python
>>> df = pd.DataFrame(columns=['x', 'y'])
>>> df.loc[:, 'x'] = [1, 2]
>>> df
Empty DataFrame
Columns: [x, y]
Index: []
>>> df.loc[[0, 1], 'x'] = [1, 2]... | {
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This should do it.
The mind boggles that a billion-dollar company can have a QoS this bad.
N.B. the default socket timeout setting.
It's not required for this because I believe travis has some firewall rules that
timeout net connections, but ... | {
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"labels_url": "htt... | 11 | 2014-01-29T17:43:36Z | 2014-03-09T16:07:06Z | 2014-03-09T16:06:03Z | NONE | null | An example of an exception that uses `assert_`:
```
============================================================================
FAILURE: test_class_ops (pandas.tseries.tests.test_timeseries.TestTimestamp)
----------------------------------------------------------------------------
Traceback (most recent call last):
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6176 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6176/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6176/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6176/events | https://github.com/pandas-dev/pandas/pull/6176 | 26,549,508 | MDExOlB1bGxSZXF1ZXN0MTIwMDc4MzI= | 6,176 | CLN: clear up some cython warnings | {
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Holding off till 0.14, on general principle.
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https://api.github.com/repos/pandas-dev/pandas/issues/6177 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6177/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6177/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6177/events | https://github.com/pandas-dev/pandas/pull/6177 | 26,552,153 | MDExOlB1bGxSZXF1ZXN0MTIwMDkzMTk= | 6,177 | ENH: select column/coordinates/multiple with start/stop/selection | {
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"labels_url": "htt... | 10 | 2014-01-29T20:47:11Z | 2014-06-13T12:19:31Z | 2014-02-09T13:31:35Z | CONTRIBUTOR | null | select_as_multiple/column/coordinate and remove behaves strange on combinations of where clauses and start/stop keyword arguments so I started fixing this.
I changed select_as_multiple to select coordinates inside the TableIterator, so it will work on large tables. Moreover select_as_multiple always throws a KeyError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6178 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6178/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6178/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6178/events | https://github.com/pandas-dev/pandas/issues/6178 | 26,562,264 | MDU6SXNzdWUyNjU2MjI2NA== | 6,178 | BUG: div by integer 0 returning non-signed infs (and nan issue) | {
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"labels_url": "htt... | 2 | 2014-01-29T23:15:41Z | 2016-10-12T23:04:34Z | 2014-02-15T22:05:03Z | CONTRIBUTOR | null | #6149
exposed this bug; going to update the tests (and i'll link there that show it)
initially only showed up on py2.6...but it is real
the signs of the inf under integer division are wrong.
for the most part the np.nan are preserved, not sure if this is right or not
```
In [1]: Series([np.nan,1,-1])/0
Out[1]:
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6179 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6179/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6179/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6179/events | https://github.com/pandas-dev/pandas/pull/6179 | 26,568,320 | MDExOlB1bGxSZXF1ZXN0MTIwMTkyMzc= | 6,179 | BLD/DOC: Faster doc building via jinja2 and conf.py logic | {
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~/src/pandas/doc/ λ ./make.py clean ;time ./make.py ;
993.28s
```
```
~/src/pandas/doc/ λ ./make.py clean ;time ./make.py --no-api ;
255.12s
```
```
~/src/pandas/doc/ λ ./make.py clean ;time ./make.py --single indexing ;
8.08s
```
@jorisvandenbossche , please... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6180/events | https://github.com/pandas-dev/pandas/pull/6180 | 26,569,225 | MDExOlB1bGxSZXF1ZXN0MTIwMTk3OTg= | 6,180 | BLD: commit automated cron script for setting up linux/py2 doc build env | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-30T01:38:26Z | 2014-06-16T19:14:53Z | 2014-01-30T01:38:33Z | NONE | null | I wrote it, so I guess others might find it useful as well.
It's actually a single script for setting up a full py2 venv for pandas
with all deps as well.
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https://api.github.com/repos/pandas-dev/pandas/issues/6181 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6181/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6181/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6181/events | https://github.com/pandas-dev/pandas/issues/6181 | 26,569,980 | MDU6SXNzdWUyNjU2OTk4MA== | 6,181 | reset_index + set_index with drop=False | {
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Currently I do the following and am wondering if this is the best I can do:
```
df.reset_index().set_index(df.index.names, drop=False)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6182/events | https://github.com/pandas-dev/pandas/issues/6182 | 26,570,088 | MDU6SXNzdWUyNjU3MDA4OA== | 6,182 | xs with slices | {
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"gists_url": "htt... | [] | closed | false | null | [] | null | 1 | 2014-01-30T02:02:04Z | 2014-01-30T02:03:13Z | 2014-01-30T02:03:13Z | CONTRIBUTOR | null | If I have a DataFrame with a MultiIndex, is there any way to slice on the second level?
If I only want one value, I can use `xs`.
For example:
```
wp = pd.Panel(np.random.randn(2, 4, 5), items=['Item1', 'Item2'],
minor_axis=pd.date_range('1/1/2000', periods=5),
major_axis=['A', 'B', 'C'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6183/events | https://github.com/pandas-dev/pandas/issues/6183 | 26,572,896 | MDU6SXNzdWUyNjU3Mjg5Ng== | 6,183 | pandas 0.12.0 and matplotlib 1.3.1 and missing data | {
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https://stackoverflow.com/questions/20564536/error-when-plotting-dataframe-containing-nan-with-pandas-0-12-0-and-matplotlib-1
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https://api.github.com/repos/pandas-dev/pandas/issues/6184 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6184/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6184/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6184/events | https://github.com/pandas-dev/pandas/pull/6184 | 26,574,746 | MDExOlB1bGxSZXF1ZXN0MTIwMjI5NzM= | 6,184 | TST: fix test_reshape.py | {
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-30T04:44:14Z | 2014-07-16T08:50:50Z | 2014-01-31T14:53:15Z | CONTRIBUTOR | null | Fixes #6081 issues in test_reshape.py -- most of `test_custom_var_and_value_name` wasn't being executed (hiding some bugs in the test code too) because it was being shadowed by another method of the same name.
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https://api.github.com/repos/pandas-dev/pandas/issues/6185 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6185/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6185/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6185/events | https://github.com/pandas-dev/pandas/pull/6185 | 26,575,063 | MDExOlB1bGxSZXF1ZXN0MTIwMjMxNDI= | 6,185 | BLD: ipython_directive, handle non-ascii execution results | {
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output problem we discussed, specifically the example in io.rst.
This PR should produce the right output on windows and be more amenable
to py3 compat work too. If you confirm that it's good I feel this is clean enough
to try and get upstream, comple... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6186/events | https://github.com/pandas-dev/pandas/issues/6186 | 26,584,317 | MDU6SXNzdWUyNjU4NDMxNw== | 6,186 | to_csv: index and header parameter interference | {
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```
import pandas as pd
df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6187/events | https://github.com/pandas-dev/pandas/issues/6187 | 26,598,477 | MDU6SXNzdWUyNjU5ODQ3Nw== | 6,187 | PERF: performance regression in 0.13.0 release | {
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"labels_url": "htt... | 13 | 2014-01-30T13:40:58Z | 2014-03-14T11:38:01Z | 2014-03-14T11:38:01Z | CONTRIBUTOR | null | One of the projects in my workplace that uses `pandas` a lot has hit a performance regression (~50%) when I was trying to upgrade from `0.12.0` to `0.13.0`. I've double-checked with
``` python
In [1]: pd.__version__
Out[1]: '0.13.0-470-gf0c4953'
```
and the regression is still there. I've skimmed through recent ticke... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6188 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6188/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6188/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6188/events | https://github.com/pandas-dev/pandas/pull/6188 | 26,603,334 | MDExOlB1bGxSZXF1ZXN0MTIwMzgxMDY= | 6,188 | ENH: Import testing into main namespace. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6189 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6189/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6189/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6189/events | https://github.com/pandas-dev/pandas/issues/6189 | 26,605,147 | MDU6SXNzdWUyNjYwNTE0Nw== | 6,189 | Drop with boolean raises a ValueError | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2014-01-30T15:17:49Z | 2017-08-27T06:21:55Z | 2017-07-11T10:35:28Z | CONTRIBUTOR | null | Shouldn't this work?
```
>>> pd.version.version
'0.13.0-472-g9109812'
>>> df = pd.DataFrame(np.random.random((10,4)))
>>> df = df.drop(df[0] > .5)
>>> df.drop(df[0] < .2)
---------------------------------------------------------------------------
ValueError Traceback (most recent call... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6190/events | https://github.com/pandas-dev/pandas/issues/6190 | 26,610,775 | MDU6SXNzdWUyNjYxMDc3NQ== | 6,190 | webpage: link to docs points to whatsnew | {
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"followers_url": "https://api.github.com/users/... | 5 | 2014-01-30T16:25:49Z | 2014-01-31T02:05:23Z | 2014-01-31T02:05:16Z | CONTRIBUTOR | null | The link to the 0.13 documentation on pandas.pydata.org points to [whatsnew](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html) instead of the [docs](http://pandas.pydata.org/pandas-docs/stable/index.html)
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https://api.github.com/repos/pandas-dev/pandas/issues/6191 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6191/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6191/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6191/events | https://github.com/pandas-dev/pandas/pull/6191 | 26,632,589 | MDExOlB1bGxSZXF1ZXN0MTIwNTQyMTI= | 6,191 | TST: buggy tests on sparc/debian platforms | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6192/events | https://github.com/pandas-dev/pandas/pull/6192 | 26,637,457 | MDExOlB1bGxSZXF1ZXN0MTIwNTYzNjk= | 6,192 | BLD/TST: @network, inspect formatted expection rather then str(e) | {
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I guess the output we see from pdb and str(e) are not the same thing,
so this compares the strings against a properly formatted exception
(I ommited the traceback, shouldn't be relevent).
I'l rerun this on travis 15 times or so before merging.
https://github.com/pydata/pandas/issues... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6193/events | https://github.com/pandas-dev/pandas/pull/6193 | 26,638,012 | MDExOlB1bGxSZXF1ZXN0MTIwNTY3MTM= | 6,193 | DOC: contributing.rst, document fast doc building | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6194 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6194/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6194/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6194/events | https://github.com/pandas-dev/pandas/issues/6194 | 26,638,019 | MDU6SXNzdWUyNjYzODAxOQ== | 6,194 | Enhancement: Add dropna to Float64Index | {
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... | 5 | 2014-01-30T21:54:32Z | 2016-07-29T00:08:33Z | 2016-07-29T00:08:33Z | CONTRIBUTOR | null | ``` python
AttributeError: 'Float64Index' object has no attribute 'dropna'
```
Any reason why it could not have a dropna()?
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https://api.github.com/repos/pandas-dev/pandas/issues/6195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6195/events | https://github.com/pandas-dev/pandas/issues/6195 | 26,642,319 | MDU6SXNzdWUyNjY0MjMxOQ== | 6,195 | Possible bug in set_index | {
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```
import pandas as pd
import numpy as np
d = {'ID': pd.Series(['x']*3 + ['y']*3,index = range(6)),
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https://api.github.com/repos/pandas-dev/pandas/issues/6197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6197/events | https://github.com/pandas-dev/pandas/pull/6197 | 26,654,267 | MDExOlB1bGxSZXF1ZXN0MTIwNjYzNTM= | 6,197 | CLN/TST: #6175, specializing assert_ (WIP) | {
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"labels_url": "htt... | 5 | 2014-01-31T03:47:29Z | 2014-02-18T03:25:07Z | 2014-02-04T09:11:25Z | CONTRIBUTOR | null | Helping with the specialization request. Work-in-progress. Updated tests pass locally.
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https://api.github.com/repos/pandas-dev/pandas/issues/6198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6198/events | https://github.com/pandas-dev/pandas/pull/6198 | 26,656,362 | MDExOlB1bGxSZXF1ZXN0MTIwNjc0NzA= | 6,198 | CLN: Change some assert_'s to specialized foms | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6199/events | https://github.com/pandas-dev/pandas/issues/6199 | 26,661,396 | MDU6SXNzdWUyNjY2MTM5Ng== | 6,199 | DOC: document how to run performance tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6200/events | https://github.com/pandas-dev/pandas/pull/6200 | 26,675,018 | MDExOlB1bGxSZXF1ZXN0MTIwNzQ0NTM= | 6,200 | BUG/TST raise a more detailed error when GH6169 occurs, added a test | {
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select a multiIndexed Dataframe from an HDF store. Wrote a test
showcasing the bug
```
modified: pandas/io/pytables.py
modified: pandas/io/tests/test_pytables.py
```
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