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https://api.github.com/repos/pandas-dev/pandas/issues/7201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7201/events | https://github.com/pandas-dev/pandas/pull/7201 | 34,032,338 | MDExOlB1bGxSZXF1ZXN0MTYxOTI2NTI= | 7,201 | BUG: Bug in expressions evaluation with reversed ops, showing in series-dataframe ops (GH7198) | {
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closes #7192
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https://api.github.com/repos/pandas-dev/pandas/issues/7202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7202/events | https://github.com/pandas-dev/pandas/pull/7202 | 34,037,768 | MDExOlB1bGxSZXF1ZXN0MTYxOTQ1OTg= | 7,202 | BUG: Bug in multi-axis indexing with > 2 ndim and a multi-index (GH7199) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7203/events | https://github.com/pandas-dev/pandas/issues/7203 | 34,041,259 | MDU6SXNzdWUzNDA0MTI1OQ== | 7,203 | Ability to merge even if no common columns | {
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"de... | closed | false | null | [] | null | 3 | 2014-05-22T00:33:25Z | 2014-05-22T01:32:21Z | 2014-05-22T01:32:21Z | NONE | null | Hi,
I would find it very helpful to be able to merge dataframes without common columns, (which is allowed in R), e.g.
```
x = DataFrame({'farm' : ['A','B','C']})
y = DataFrame({'crop':['wheat','millet']})
```
so that `x.merge(y, how='outer')` returns:
```
farm crop
0 A wheat
1 A millet
2 B wheat
3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7204/events | https://github.com/pandas-dev/pandas/pull/7204 | 34,045,580 | MDExOlB1bGxSZXF1ZXN0MTYxOTg0MjU= | 7,204 | CLN: eliminate depr warnings on 3.4 | {
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CLN: make chunksize an integer in to_csv to avoid float slicing semantics
CLN: make nxes integers in _get_layout
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https://api.github.com/repos/pandas-dev/pandas/issues/7205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7205/events | https://github.com/pandas-dev/pandas/issues/7205 | 34,053,362 | MDU6SXNzdWUzNDA1MzM2Mg== | 7,205 | pandas.qcut doesn't work properly | {
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For example:
import pandas
x = [0, 0, 0,0 ,1]
pandas.qcut(x, 2)
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https://api.github.com/repos/pandas-dev/pandas/issues/7207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7207/events | https://github.com/pandas-dev/pandas/issues/7207 | 34,091,709 | MDU6SXNzdWUzNDA5MTcwOQ== | 7,207 | API: revisit adding datetime-like ops in Series | {
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maybe provide a `to_index()` function and/or a class-like accessor
`.values_to_index` (too long though)
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For 0.12:
```
df = DataFrame(columns=['A','B'], index=date_range('1/1/2000', periods=20, freq='D'))
d_start = df.index[10]
d_end = df.index[11]
%timeit df.loc[d_start:d_end, 'A'] = 1
10000 loops, best of 3: 87.8 µs per loop
```
However, ... | {
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"labels_url": "htt... | 27 | 2014-05-22T19:49:17Z | 2014-05-27T19:57:40Z | 2014-05-27T19:50:10Z | CONTRIBUTOR | null | seemed to work just fine (with 0.13.1) and I do not see why it should not if you are decorating numpy arrays here:
```
File "/home/neurodebian/proj/numpy-vbench/vbench/vbench/analysis.py", line 83, in __call__
Tts, Tps = ss.ttest_1samp(test_samples.timing, results.timing)
File "/usr/lib/python2.7/dist-package... | {
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Might be a nicer error message (gist of this)
Hey you are trying to access a single element on AXIS 1, you can do it with a slice if you want, or use .loc to access the frame by row
```
In [3]: df = DataFrame(1,index=pd.date_range('20130101',periods=5),columns=['v... | {
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... | 7 | 2014-05-22T21:49:12Z | 2015-05-26T04:06:27Z | 2015-05-26T04:06:27Z | NONE | null | code to reproduce:
``` python
import pandas as pd
import numpy as np
## generate data
df = pd.DataFrame(np.random.rand(4,5), index=list('abcd'), columns=list('ABCDE'))
df.index.name = 'letters'
df = df.set_index(keys='E' , append=True)
## save to hdf5
h5name = 'tst.h5'
key = 'tst_key'
df.to_hdf(h5name, key,
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http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#experimental-features
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closes #7169 .
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\+ added some entries in api.rst
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CLN: cleanup related to (GH7206) don't create the disabled properties at all for Series
related #7206
related #7213
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closes #5313
closes #5314
closes #3943
TODOS
- [x] test with `select_dtypes` #7434, https://github.com/jreback/pandas/commit/a43c6c041c7870c63992bc15b427adc35f7ab5d8
**Code Changes... | {
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http://stackoverflow.com/questions/23830248/potential-bug-pandas-multiindex-and-0-d-sized-values
```
np.random.seed(1234)
T = 100 # time
N = 80 # firms
TIndex = np.arange(0, T)
FIndex = np.arange(0, N)
index = pd.MultiIndex.from_product([TIndex, FIndex], names=['tim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7219/events | https://github.com/pandas-dev/pandas/pull/7219 | 34,176,378 | MDExOlB1bGxSZXF1ZXN0MTYyNzQyMjg= | 7,219 | BUG: bug in setitem with multi-index and a 0-dim ndarray (GH7218) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7220 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7220/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7220/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7220/events | https://github.com/pandas-dev/pandas/issues/7220 | 34,188,739 | MDU6SXNzdWUzNDE4ODczOQ== | 7,220 | Suggestions for html table parsing | {
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I have lxml, and when trying to parse html with tables through pandas I found some problems:
1. HTMLParser is set to `recover=False` contrary to lxml's default value. This is unfortunate because parser will fail on any problem in html page, like missing closing tag or similar, which IMHO happens too often to be ju... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7221/events | https://github.com/pandas-dev/pandas/pull/7221 | 34,190,264 | MDExOlB1bGxSZXF1ZXN0MTYyODIyMzk= | 7,221 | TST: tests for reindex_like consistency (GH7179) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7222/events | https://github.com/pandas-dev/pandas/issues/7222 | 34,191,590 | MDU6SXNzdWUzNDE5MTU5MA== | 7,222 | BUG: Series.plot() doesn't work with CustomBusinessDay frequency | {
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In IPython, trying to .plot() a Series with a CustomBusinessDay frquency produces "ValueError: Unknown freqstr: C". See below. I imagine DataFrame.plot() would have a similar issue.
Am running http://pandas.pydata.org/pandas-build/dev/pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7223/events | https://github.com/pandas-dev/pandas/issues/7223 | 34,215,786 | MDU6SXNzdWUzNDIxNTc4Ng== | 7,223 | Idea for pandas.Index.nearest() method | {
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... | closed | false | null | [] | null | 2 | 2014-05-23T22:29:51Z | 2014-07-30T01:45:36Z | 2014-05-23T22:44:09Z | NONE | null | For an ordered index, there is a pandas.Index.asof() method that returns the _most recent_ label to the label that's passed to it. However, in some cases it's useful to have a method that returns the _nearest_ label to the label that is passed to it. For example:
``` python
>>> holidays = pandas.to_datetime(['2014-0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7224/events | https://github.com/pandas-dev/pandas/issues/7224 | 34,223,779 | MDU6SXNzdWUzNDIyMzc3OQ== | 7,224 | PERF: Slow down in DF sort() functions from Pandas 0.12 to 0.13? | {
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For example let's execute the following code in both environments (see below for show_version() outputs):
``` python
from itertools import product
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https://api.github.com/repos/pandas-dev/pandas/issues/7225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7225/events | https://github.com/pandas-dev/pandas/pull/7225 | 34,234,050 | MDExOlB1bGxSZXF1ZXN0MTYzMDU4MTE= | 7,225 | BUG: boxplot returns incorrect dict | {
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```
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pandas.util.testing as tm
n=100
gender = tm.choice(['Male', 'Female'], size=n)
classroom = tm.choice(['A', 'B', 'C'], size=n)
df = pd.DataFrame({'gender... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7226/events | https://github.com/pandas-dev/pandas/pull/7226 | 34,235,090 | MDExOlB1bGxSZXF1ZXN0MTYzMDYyMTU= | 7,226 | BUG: bar plot can now handle bottom and left kw properly | {
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Currently, passing `bottom` or `left` keyword results in `TypeError`
```
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(5, 5))
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https://api.github.com/repos/pandas-dev/pandas/issues/7227 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7227/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7227/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7227/events | https://github.com/pandas-dev/pandas/issues/7227 | 34,235,745 | MDU6SXNzdWUzNDIzNTc0NQ== | 7,227 | BUG: resample/groupby with NaT in the grouper | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-05-24T15:07:11Z | 2014-06-14T14:00:51Z | 2014-06-14T14:00:51Z | CONTRIBUTOR | null | related to this: https://github.com/pydata/pandas/issues/6992
These are broken
```
In [70]: df.set_index('A').resample('M',how='count')
ValueError: month must be in 1..12
In [73]: df.groupby(pd.Grouper(freq='MS',key='A')).count()
ValueError: month must be in 1..12
```
Separately, this should not also return the A c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7228 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7228/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7228/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7228/events | https://github.com/pandas-dev/pandas/issues/7228 | 34,235,803 | MDU6SXNzdWUzNDIzNTgwMw== | 7,228 | BUG: round-trip datetime-period-datetime not preserving NaT | {
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... | closed | false | null | [] | {
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In [76]: data
Out[76]:
0 2014-10-01
1 2014-10-01
2 2014-10-31
3 2014-11-15
4 2014-11-30
5 NaT
6 2014-12-01
dtype: datetime64[ns]
```
```
In [78]: DatetimeIndex(data).to_period(freq='M')
Out[78]:
<class 'pandas.tseries.period.PeriodIndex'>
freq: M
[2014-10, ..., 2014-12]
length: 7
In [79]: D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7229/events | https://github.com/pandas-dev/pandas/issues/7229 | 34,235,905 | MDU6SXNzdWUzNDIzNTkwNQ== | 7,229 | BUG: 3.4 with current versions of bs4/lxml/html5lib minor parsing errors | {
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"color": "006b75",
"default": false,
"description": "read_html, to_html, Styl... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2014-05-24T15:14:25Z | 2016-10-12T23:04:52Z | 2014-06-21T20:15:09Z | CONTRIBUTOR | null | ```
======================================================================
ERROR: test_thousands_macau_index_col (pandas.io.tests.test_html.TestReadHtml)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\Users\Jeff Reback\Documents\GitHub\pandas\build\l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7230/events | https://github.com/pandas-dev/pandas/issues/7230 | 34,236,128 | MDU6SXNzdWUzNDIzNjEyOA== | 7,230 | CI: update 3.4 build | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-05-24T15:27:13Z | 2014-06-17T12:35:42Z | 2014-06-17T12:35:42Z | CONTRIBUTOR | null | wheels aleady posted, update to current version in requirements-3.4.txt
compiled
```
lxml==3.3.5
numexpr==2.4
```
python only
```
html5lib
beautifulsoup4
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7231/events | https://github.com/pandas-dev/pandas/issues/7231 | 34,241,777 | MDU6SXNzdWUzNDI0MTc3Nw== | 7,231 | Docs do not compile | {
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```
(pandas)[dev_box@localhost doc]$ python make.py html
Running Sphinx v1.1.3
loading pickled environment... failed: [Errno 2] No such file or directory: '/home/dev_box/python_virt/pandas/pandas/src/pandas/doc/build/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7232/events | https://github.com/pandas-dev/pandas/pull/7232 | 34,241,846 | MDExOlB1bGxSZXF1ZXN0MTYzMDg2MzU= | 7,232 | BUG: multi-index output formatting is buggy (GH7174) | {
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Adjusts the truncation in the notebook for multiindex dfs. Both rows and columns are affected.
http://nbviewer.ipython.org/gist/bjonen/492fea9559fd73edf579
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https://api.github.com/repos/pandas-dev/pandas/issues/7233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7233/events | https://github.com/pandas-dev/pandas/issues/7233 | 34,241,862 | MDU6SXNzdWUzNDI0MTg2Mg== | 7,233 | test_dateindex_conversion fails on Python 3.4 / NumPy 1.8.1 / MPL 1.4 master / Ubuntu 12.04 | {
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```
python3.4 `which nosetests` pandas
```
gives me this:
```
======================================================================
ERROR: test_dateindex_conversion (pandas.tseries.tests.test_converter.TestDateTimeConverter)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7234/events | https://github.com/pandas-dev/pandas/pull/7234 | 34,243,771 | MDExOlB1bGxSZXF1ZXN0MTYzMDk0MTk= | 7,234 | BUG: grouped hist raises AttributeError with single group | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2014-05-24T22:12:03Z | 2014-07-09T12:37:50Z | 2014-07-07T19:27:56Z | MEMBER | null | Includes 3 minor fixes for `hist`.
- `DataFrame.hist` raises `AttributeError` when the target column specifiedwith `by` kw only contains a single value.
```
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pandas.util.testing as tm
n=100
gender = tm.choice(['Male', 'Female'], size=n)
clas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7235/events | https://github.com/pandas-dev/pandas/issues/7235 | 34,265,871 | MDU6SXNzdWUzNDI2NTg3MQ== | 7,235 | BUG: _repr_html_ doesn't use `display.colheader_justify` | {
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"following_url": "https://api.github.com/users/TomAugspurger/following{/other_u... | null | 3 | 2014-05-25T15:00:55Z | 2015-03-08T16:49:48Z | 2015-03-08T16:49:48Z | CONTRIBUTOR | null | 
It is used correctly in `str(df)` and the terminal repr; I think just `_html` is the problem. I'll see if I can track it down quick.
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https://api.github.com/repos/pandas-dev/pandas/issues/7236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7236/events | https://github.com/pandas-dev/pandas/pull/7236 | 34,311,632 | MDExOlB1bGxSZXF1ZXN0MTYzMzg3MjA= | 7,236 | DOC: clean-up docstrings of option functions | {
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- some clean up of api.rst itself
- some clean-up of the docstrings of the option functions so they render nicely with sphinx
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https://api.github.com/repos/pandas-dev/pandas/issues/7237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7237/events | https://github.com/pandas-dev/pandas/issues/7237 | 34,316,818 | MDU6SXNzdWUzNDMxNjgxOA== | 7,237 | Bug: Selection of Multi-Index Columns | {
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lets take the following DataFrame:
```
df = pd.DataFrame({
'Region' : ['A', 'A', 'C', 'C', 'C', 'B'],
'Store' : ['A', ' B ', 'A ', 'B ', 'A ', 'A'],
'Quantity': [1, 1, 2, 3, 4, 5],
'Date' : [
'2009-04-05', '2009-04-05', '2010-05-05', '2009-08-05',
'2011-02-05', '2009-04-05']})
df['Date'] = df['Date'].ap... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7238/events | https://github.com/pandas-dev/pandas/issues/7238 | 34,327,404 | MDU6SXNzdWUzNDMyNzQwNA== | 7,238 | read_msgpack doesn't work for StringIO | {
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In [1]: sio = StringIO()
In [2]: pd.to_msgpack(sio, 'a', 'b')
In [3]: pd.read_msgpack(sio)
Out[3]: []
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7239/events | https://github.com/pandas-dev/pandas/pull/7239 | 34,327,600 | MDExOlB1bGxSZXF1ZXN0MTYzNDcwOTI= | 7,239 | DOC: GH3850, add .isin to 10min.rst | {
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Updates 10min.rst to demonstrate isin
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https://api.github.com/repos/pandas-dev/pandas/issues/7240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7240/events | https://github.com/pandas-dev/pandas/issues/7240 | 34,339,647 | MDU6SXNzdWUzNDMzOTY0Nw== | 7,240 | ENH: Support PeriodIndex in HDFStore | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7241/events | https://github.com/pandas-dev/pandas/issues/7241 | 34,345,499 | MDU6SXNzdWUzNDM0NTQ5OQ== | 7,241 | StringMethods.extract fails on empty series | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-05-27T06:39:35Z | 2014-06-05T17:30:05Z | 2014-06-05T17:30:05Z | CONTRIBUTOR | null | When using extract with more then one group, it fails on empty series:
```
>>> pd.Series([], dtype=str).str.extract('()')
Series([], dtype: float64)
>>> pd.Series([], dtype=str).str.extract('()()')
ValueError: Shape of passed values is (0, 0), indices imply (2, 0)
```
I expect it to return an empty DataFrame with th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7242 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7242/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7242/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7242/events | https://github.com/pandas-dev/pandas/pull/7242 | 34,348,516 | MDExOlB1bGxSZXF1ZXN0MTYzNTgwMzE= | 7,242 | BUG: string methods on empty series (GH7241) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7243/events | https://github.com/pandas-dev/pandas/issues/7243 | 34,352,116 | MDU6SXNzdWUzNDM1MjExNg== | 7,243 | Support for indices satisfying the Index API that aren't pandas.Index subclasses | {
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"color": "AD... | closed | false | null | [] | null | 2 | 2014-05-27T08:45:54Z | 2014-05-27T12:39:18Z | 2014-05-27T12:26:42Z | MEMBER | null | Pandas specifies an Index API in the docs: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-internal-details
However, it's not currently possible (as far as I can tell) to create an object that can be used as a pandas Index unless it's an actual `pandas.Index` subclass.
From the perspective of someo... | {
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... | 8 | 2014-05-27T12:16:05Z | 2019-06-17T19:56:37Z | null | CONTRIBUTOR | null | hdf5 read still fails to read back some utf8 encoded strings back correctly.
I written a [test script](https://gist.github.com/wabu/79ffa83dd368b3a15438) that:
- puts random valid utf8 strings into a hdf5 file
- reads them back with pytables and decodes them
- uses HDFStore.select to read them
The hdfstore often f... | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2014-05-27T15:53:30Z | 2014-06-02T16:33:13Z | 2014-06-02T16:33:13Z | MEMBER | null | right now `boto` tries to authenticate and therefore public buckets aren't readable, but you can read them with `urllib2.urlopen(url)`
example:
this fails if you don't have your credentials set up
```
In [12]: df = pd.read_csv('s3://nypug/tips.csv')
```
but this works:
```
In [15]: url = 'https://s3.amazonaws.com/... | {
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```
======================================================================
ERROR: test_to_string_truncate_indices (pandas.tests.test_format.TestDataFrameFormatting)
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"followers_url": "https://api.github.com/users/jorisva... | 6 | 2014-05-27T17:59:08Z | 2018-03-07T09:53:48Z | 2018-03-07T09:53:42Z | CONTRIBUTOR | null | no particular order, prob need a bit of description; these are suggestions, if people think they don't belong ok then
https://bitbucket.org/zzzeek/calchipan
https://github.com/keeganmccallum/sql4pandas
https://github.com/yhat/pandasql/
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```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
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https://api.github.com/repos/pandas-dev/pandas/issues/7251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7251/events | https://github.com/pandas-dev/pandas/issues/7251 | 34,409,434 | MDU6SXNzdWUzNDQwOTQzNA== | 7,251 | boxplot: by + return_type='both' fails | {
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`temp.boxplot(sym="k.", by='column_1', return_type='both')`
I get:
```
> boxplot(data, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, **kwds) ... | {
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"labels_url": "htt... | 1 | 2014-05-28T01:34:14Z | 2014-05-28T16:58:42Z | 2014-05-28T16:58:23Z | CONTRIBUTOR | null | while building 0.14.0~rc1+git79-g1fa5dd4 , fails on wheezy:
```
======================================================================
FAIL: test_read_dta2 (pandas.io.tests.test_stata.TestStata)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/build... | {
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======================================================================
FAIL: test_grouped_box_return_type (pandas.tests.test_graphics.TestDataFrameGroupByPlots)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/buildd/pandas-0.14.0~rc1+git79-g1fa5... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7255/events | https://github.com/pandas-dev/pandas/pull/7255 | 34,436,700 | MDExOlB1bGxSZXF1ZXN0MTY0MDk5MzE= | 7,255 | DOC add v0.14.1.txt release notes stub | {
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This look ok @jreback ? cc #6318
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https://api.github.com/repos/pandas-dev/pandas/issues/7256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7256/events | https://github.com/pandas-dev/pandas/issues/7256 | 34,441,467 | MDU6SXNzdWUzNDQ0MTQ2Nw== | 7,256 | DatetimeIndex.insert works with only positive values | {
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```
In [ 1]: index = pandas.DatetimeIndex(start = '01/01/2000', freq = 'B', periods = 5)
In [ 2]: dt = pandas.Timestamp('01/01/2013')
In [ 3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7257/events | https://github.com/pandas-dev/pandas/issues/7257 | 34,448,153 | MDU6SXNzdWUzNDQ0ODE1Mw== | 7,257 | BUG: Reduction methods cause transpose of Panel but not Panel4D | {
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However, this... | {
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... | 8 | 2014-05-28T09:07:25Z | 2021-04-11T04:37:33Z | null | MEMBER | null | Seeing this SO question: http://stackoverflow.com/questions/23896088/dropping-rows-in-dataframe-if-found-in-another-one/, I was wondering if this is something that could be provided as functionality to the `.isin()` method.
The problem at the moment to use `isin` to check for the occurence of a full row in a DataFrame... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7259/events | https://github.com/pandas-dev/pandas/issues/7259 | 34,459,807 | MDU6SXNzdWUzNDQ1OTgwNw== | 7,259 | Apparent dataframe corruption after update using groupby | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7260/events | https://github.com/pandas-dev/pandas/pull/7260 | 34,466,100 | MDExOlB1bGxSZXF1ZXN0MTY0MjY4NTA= | 7,260 | TST/BUG: Fix grouped_box_return_type | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7261/events | https://github.com/pandas-dev/pandas/issues/7261 | 34,467,040 | MDU6SXNzdWUzNDQ2NzA0MA== | 7,261 | API: Should Index.min and max use nanmin and nanmax? | {
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```
pd.Index([np.nan, 1.0]).min()
# nan
pd.Index([np.nan, 1.0]).max()
# nan
pd.DatetimeIndex([pd.NaT, '2011-01-01']).min()
# NaT
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https://api.github.com/repos/pandas-dev/pandas/issues/7263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7263/events | https://github.com/pandas-dev/pandas/issues/7263 | 34,469,440 | MDU6SXNzdWUzNDQ2OTQ0MA== | 7,263 | test_class_ops: ubuntu 14.04 32bit AssertionError: 1401254445 != 1401254446 | {
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======================================================================
FAIL: test_class_ops (pandas.tseries.tests.test_timeseries.TestTimestamp)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/buildd/pandas-0.14.0~rc1+git79-g1fa5dd4/debian/tmp/u... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7264/events | https://github.com/pandas-dev/pandas/pull/7264 | 34,479,612 | MDExOlB1bGxSZXF1ZXN0MTY0MzUxNjk= | 7,264 | DOC/TST: small change to 10min.rst / fixes for (GH7252, GH7263) | {
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"labels_url": "htt... | 0 | 2014-05-28T15:50:21Z | 2014-06-19T12:45:44Z | 2014-05-28T16:58:23Z | CONTRIBUTOR | null | TST: fix stata issue with NaT (GH7252)
closes #7252
closes #7263
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https://api.github.com/repos/pandas-dev/pandas/issues/7265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7265/events | https://github.com/pandas-dev/pandas/issues/7265 | 34,490,566 | MDU6SXNzdWUzNDQ5MDU2Ng== | 7,265 | Big-endians: test_value_counts_unique_nunique AssertionError: False is not true | {
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http://nipy.bic.berkeley.edu/builders/pandas-py2.x-sid-sparc/builds/768/steps/shell_7/logs/stdio
on a sparc box (which I think some of you have access to) or on debian build boxes on powerpc and s390x:
https://buildd.debian.org/status/fetch.php?pkg=pandas&arch=powerpc&ver=0.14.0~rc1%2Bgit79-g1fa5dd4-1&stamp=140... | {
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closes #7265
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https://api.github.com/repos/pandas-dev/pandas/issues/7267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7267/events | https://github.com/pandas-dev/pandas/issues/7267 | 34,493,105 | MDU6SXNzdWUzNDQ5MzEwNQ== | 7,267 | ENH: Effecient resample/reindex by index | {
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"f... | 3 | 2014-05-28T18:24:28Z | 2021-04-11T04:38:44Z | null | NONE | null | Here is the idea. I have predefined index and I'm grouping by timestamps in it, aggregating preceding values of the interval:
``` python
index = DatetimeIndex([datetime(2014, 1, 11, 11, 30), datetime(2014, 1, 12, 15), datetime(2014, 1, 15, 22)])
s = Series({
datetime(2014, 1, 10, 0): 1,
datetime(2014, 1, 11, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7269/events | https://github.com/pandas-dev/pandas/issues/7269 | 34,517,403 | MDU6SXNzdWUzNDUxNzQwMw== | 7,269 | extract runs much slower than match with multiple groups | {
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"f... | 5 | 2014-05-28T23:45:00Z | 2019-10-09T21:31:06Z | 2019-10-09T21:31:06Z | NONE | null | The regex-group-extraction functionality of `match` is being replaced by `extract`, but `extract` runs much slower when multiple groups are being extracted.
Here is some test code:
``` python
import pandas as pd
from datetime import datetime
from pandas.util.print_versions import show_versions
show_versions()
test ... | {
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to be smoothly cast to a pandas.Index:
https://github.com/pydata/pandas/issues/5460#issuecomment-44474502
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The reason I'm running into it is having some NaNs scattered across some `int` and `bool` columns, which converts to float / objects. If I discard those NaNs, it would be nice to do
`df = df.astype({'my_bool', 'bool', 'my_int': 'int'})`
instead of
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closes #5781
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Hmmm `np.random.choice` not available on numpy < 1.7.
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So I gave it a try, moved all content of release.rst to the whatsnew file (main chunk were the bug fixes, and for the rest some api changes and enhancements that were not listed in whatsnew). All content that was in... | {
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```
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pandas.util.testing as tm
n=100
gender = tm.choice(['Male', 'Female'], size=n)
classroom = tm.choice(['A', 'B', 'C'], size=n)
single = tm.choi... | {
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including `axis,level` args
add docs for these as well
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_need to fix test in numpy 1.6..._
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] | closed | false | null | [] | null | 48 | 2014-05-30T02:29:43Z | 2020-09-22T13:39:04Z | 2014-07-07T15:45:05Z | NONE | null | The following test demonstrates the problem... the contents of `testme.py` is literally `import pandas`; however, it takes almost 6 seconds to import pandas on my Lenovo T60.
```
[mpenning@Mudslide panex]$ time python testme.py
real 0m5.759s
user 0m5.612s
sys 0m0.120s
[mpenning@Mudslide panex]$
[mpenning@Mudsl... | {
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x = pd.Series([1, 'X'])
test = x.astype(str)
print type(test[0]) # should be str, instead is int
test2 = np.array(x).astype(str)
print type(test[0]) # is str!
```
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```
2014-05-30 15:14:29.999 | File "gnocchi/carbonara.py", line 22, in <module>
2014-05-30 15:14:29.999 | import pandas
2014-05-30 15:14:29.999 | File "/home/jenkins/workspace/gate-gnocchi-python26/.tox/py26/lib/python2.6/site-packages/pa... | {
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closes #7284
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"followers_url": "https://api.github.com/users/jr... | 4 | 2014-05-30T20:12:56Z | 2014-06-16T12:52:02Z | 2014-06-16T12:52:02Z | CONTRIBUTOR | null | When trying to write a Stata dataset with strings containing upper latin-1 characters (which are allowed by the Stata format), I get an encoding error.
``` python
import pandas.io.stata as sta
sr = sta.StataReader('pandas/pandas/io/tests/data/stata1_encoding.dta')
df = sr.data()
sw = sta.StataWriter('stata1_encoding_d... | {
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"f... | 8 | 2014-05-30T20:14:26Z | 2021-04-11T04:40:27Z | null | CONTRIBUTOR | null | This might not necessarily a new thing since 0.14, but I find the output of group.head() not appropriate for a grouping:
``` python
df = pd.DataFrame(np.random.randn(6,2))
df['A'] = [1,2,2,1,1,2]
df
```
```
0 1 A
0 -0.047101 0.828542 1
1 1.617815 0.362700 2
2 1.366453 -1.116897 2
3 0.086743... | {
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https://travis-ci.org/matthew-brett/scipy-stack-osx-testing/builds/26419147
For at least Python.org 3.3.5, no virtualenv, I see this error:
```
======================================================================
FAIL: test_mu... | {
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```
File "/home/travis/virtualenv/python2.6.9/lib/python2.6/site-packages/pandas/tseries/tests/test_period.py", line 1976, in test_range_slice_outofbounds
...
File "datetime.pxd", line 137, in datetime._string_to_dts (pandas/tslib.c:52202)
ValueError: Unable to parse 20... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7292 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7292/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7292/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7292/events | https://github.com/pandas-dev/pandas/issues/7292 | 34,695,861 | MDU6SXNzdWUzNDY5NTg2MQ== | 7,292 | BUG: asfreq / pct_change strange behavior | {
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"default": false,
"description": "DateOffsets",
"id": ... | closed | false | null | [] | {
"closed_at": "2018-05-16T03:09:58Z",
"closed_issues": 1645,
"created_at": "2017-10-20T10:17:09Z",
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"followers_url": "https://api.github.com/users/j... | 8 | 2014-05-31T05:28:50Z | 2018-01-31T11:34:13Z | 2018-01-31T11:34:12Z | NONE | null | In the first case, is it a bug (those NaNs at the end) or a feature? I just don't get the reason behind this behavior:
```
In[5]: s = Series(range(10), date_range('2014', periods=10, freq='H'))
In[6]: s
Out[6]:
2014-05-31 00:00:00 0
2014-05-31 01:00:00 1
2014-05-31 02:00:00 2
2014-05-31 03:00:00 3
2014-05... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7293 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7293/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7293/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7293/events | https://github.com/pandas-dev/pandas/issues/7293 | 34,702,009 | MDU6SXNzdWUzNDcwMjAwOQ== | 7,293 | Intermittent errors in test_dict_complex, test_dict_numpy_complex | {
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"gist... | [] | closed | false | null | [] | null | 4 | 2014-05-31T08:08:39Z | 2014-05-31T21:38:13Z | 2014-05-31T21:38:13Z | CONTRIBUTOR | null | Another annoying one, this time with more than one failure, but again, fail then not fail on a repeat run of the same tests.
Fails here:
A) https://travis-ci.org/matthew-brett/scipy-stack-osx-testing/jobs/26434163
B) http://nipy.bic.berkeley.edu/builders/scipy-stack-3.4.0-wheel-requires/builds/20/steps/shell_8/logs/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7294 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7294/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7294/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7294/events | https://github.com/pandas-dev/pandas/issues/7294 | 34,702,635 | MDU6SXNzdWUzNDcwMjYzNQ== | 7,294 | test_range_slice_outofbounds | {
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"gist... | [] | closed | false | null | [] | null | 2 | 2014-05-31T09:00:22Z | 2014-05-31T09:13:37Z | 2014-05-31T09:07:40Z | CONTRIBUTOR | null | Sorry to be the error guy - but all variations now giving:
```
======================================================================
ERROR: test_range_slice_outofbounds (pandas.tseries.tests.test_period.TestPeriodIndex)
----------------------------------------------------------------------
Traceback (most recent call... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7295/events | https://github.com/pandas-dev/pandas/issues/7295 | 34,709,006 | MDU6SXNzdWUzNDcwOTAwNg== | 7,295 | BUG: test_interp_regression failure | {
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"description": "pandas testing functions... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2014-05-31T15:50:18Z | 2014-06-17T11:22:59Z | 2014-06-17T11:22:59Z | CONTRIBUTOR | null | ```
test_interp_regression (__main__.TestSeries) ... > /home/dsm/sys/pandas/pandas/tests/stringsource(327)View.MemoryView.memoryview.__cinit__ (scipy/interpolate/_ppoly.c:19922)()
(Pdb) cont
ERROR
======================================================================
ERROR: test_interp_regression (__main__.TestSeries)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7296/events | https://github.com/pandas-dev/pandas/pull/7296 | 34,711,507 | MDExOlB1bGxSZXF1ZXN0MTY1Njg3MDg= | 7,296 | CLN/TST remove compat.scipy | {
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-Move `percentileofscore` to `stats.misc`; Update `percentileRank` to reflect the move.
-Change testing references to `compat.scipy.rankdata()` , to use `scipy.stats.rankdata` directly
-Delete compat.scipy
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https://api.github.com/repos/pandas-dev/pandas/issues/7297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7297/events | https://github.com/pandas-dev/pandas/issues/7297 | 34,711,612 | MDU6SXNzdWUzNDcxMTYxMg== | 7,297 | Change in behavior for rolling_var when win > len(arr) for 0.14: now raises error | {
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"followers_url": "https://api.github.com/users/jr... | 17 | 2014-05-31T17:55:39Z | 2014-07-02T11:46:29Z | 2014-07-02T11:46:29Z | CONTRIBUTOR | null | In 0.13 I could pass a window length greater than the length of the `Series` passed to `rolling_var` (or, of course, `rolling_std`). In 0.14 that raises an error. Behavior is unchanged from 0.13 for other rolling functions:
``` python
data = """
x
0.1
0.5
0.3
0.2
0.7
"""
df = pd.read_csv(StringIO(data),header=True)
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https://api.github.com/repos/pandas-dev/pandas/issues/7298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7298/events | https://github.com/pandas-dev/pandas/pull/7298 | 34,714,649 | MDExOlB1bGxSZXF1ZXN0MTY1NzAxNTU= | 7,298 | TST: fix intermittent dict_complex test failures | {
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failures on Python 3.4. The test was written to depend on the order of values
from `dict.values()`; remove that dependency.
Closes gh-7293.
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https://api.github.com/repos/pandas-dev/pandas/issues/7299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7299/events | https://github.com/pandas-dev/pandas/pull/7299 | 34,716,194 | MDExOlB1bGxSZXF1ZXN0MTY1NzA3OTU= | 7,299 | BUG: DatetimeIndex.insert doesnt preserve name and tz | {
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"followers_url": "https://api.github.com/users/jr... | 21 | 2014-05-31T22:06:03Z | 2014-06-12T06:09:49Z | 2014-06-06T12:58:23Z | MEMBER | null | `DatetimeIndex.insert` doesn't preserve `name` and `tz` attributes. Also modified `DatetimeIndex.asobject` to return an object `Index` which has the same name as original to cover the case when the result is being object `Index`.
```
# normal Index preserves its name after insertion
idx = pd.Index([1, 2, 3], name='no... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7300/events | https://github.com/pandas-dev/pandas/issues/7300 | 34,716,234 | MDU6SXNzdWUzNDcxNjIzNA== | 7,300 | BUG: query with local strings gives KeyError | {
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"description": "Functionality that used ... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-05-31T22:07:57Z | 2016-10-12T23:04:53Z | 2014-06-01T21:14:22Z | MEMBER | null | From SO question (http://stackoverflow.com/questions/23974664/unable-to-query-a-local-variable-in-pandas-0-14-0), referencing a local variable gives an error when this is a string (workaround seems to be to wrap it in a list):
```
In [39]: fills = pd.DataFrame({'Symbol':['BUD US', 'BUD US', 'IBM US', 'IBM US'], 'Price... | {
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