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https://api.github.com/repos/pandas-dev/pandas/issues/4201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4201/events | https://github.com/pandas-dev/pandas/issues/4201 | 16,621,072 | MDU6SXNzdWUxNjYyMTA3Mg== | 4,201 | wrong index name during read_csv if using usecols | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-07-11T09:14:35Z | 2013-09-27T12:39:28Z | 2013-09-27T12:39:28Z | NONE | null | Hi,
If I have a test.csv file looks like below
```
SecId Time Price P2 P3
10000 2013-5-11 100 10 1
500 2013-5-12 101 11 1
```
if I read in the above file with the following code
```
df =pd.read_csv('test.csv', usecols=['Time', 'Price'], parse_dates=True, in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4202/events | https://github.com/pandas-dev/pandas/issues/4202 | 16,624,784 | MDU6SXNzdWUxNjYyNDc4NA== | 4,202 | API: Deep copy not copying index/columns | {
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"followers_url": "https://api.github.com/users/wesm... | 13 | 2013-07-11T10:55:52Z | 2016-10-12T23:03:59Z | 2013-09-24T03:43:59Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/17591104/in-pandas-can-i-deeply-copy-a-dataframe-including-its-index-and-column/17591423#17591423
This means if we change the index in place, e.g. with name:
```
df1 = df.copy()
df1.index.name = 'ffg'
```
This changes the name of the df.index.
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https://api.github.com/repos/pandas-dev/pandas/issues/4203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4203/events | https://github.com/pandas-dev/pandas/issues/4203 | 16,626,363 | MDU6SXNzdWUxNjYyNjM2Mw== | 4,203 | DOC: figures not sharp but little bit blurry | {
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So I wondered what the cause of this is, and it seems that because the `@savefig` pseudo-decorator is (usually) set with a `width=6in` the figure becomes a l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4204/events | https://github.com/pandas-dev/pandas/issues/4204 | 16,626,713 | MDU6SXNzdWUxNjYyNjcxMw== | 4,204 | BUG: loc setting NaN in an int column should upcast | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-07-11T11:48:07Z | 2013-10-03T00:31:53Z | 2013-08-16T19:34:11Z | CONTRIBUTOR | null | I think upcasting to float should occur here.
For example:
```
In [1]: df = pd.DataFrame([[0, 0]])
In [2]: df.loc[0] = np.nan
In [3]: df
Out[3]:
0 1
0 -9223372036854775808 -9223372036854775808
```
Sometimes this is caught:
```
In [11]: df = pd.DataFrame([[0]])
In [12]: df.... | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2013-07-11T12:18:01Z | 2019-12-27T20:53:28Z | 2019-12-27T20:53:28Z | CONTRIBUTOR | null | From stackoverflow: http://stackoverflow.com/questions/17579932/statsmodel-arma-function-is-incompatiable-with-pandas/17581170
I'm looking only quickly at this, but I'm wondering if this should be recognized and return an offset.
```
from pandas.tseries.frequencies import get_offset
get_offset('30s')
```
or if in st... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4206/events | https://github.com/pandas-dev/pandas/pull/4206 | 16,629,449 | MDExOlB1bGxSZXF1ZXN0Njg2Mjk3NA== | 4,206 | DOC: more prominent HDFStore store docs about storer/table formats | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4207/events | https://github.com/pandas-dev/pandas/pull/4207 | 16,630,842 | MDExOlB1bGxSZXF1ZXN0Njg2MzY5Ng== | 4,207 | PERF: add ix scalar get benchmark | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4208/events | https://github.com/pandas-dev/pandas/issues/4208 | 16,636,486 | MDU6SXNzdWUxNjYzNjQ4Ng== | 4,208 | Failed test on travis TestYahoo:test_get_quote_string | {
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======================================================================
FAIL: test_get_quote_string (pandas.io.tests.test_data.TestYahoo)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/travis/virtualenv/python2.7_with_system_site_packages/local... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4209/events | https://github.com/pandas-dev/pandas/issues/4209 | 16,636,891 | MDU6SXNzdWUxNjYzNjg5MQ== | 4,209 | BLD: can we build docs using numpy >= 1.7? | {
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"i... | 2 | 2013-07-11T15:27:45Z | 2013-09-10T21:49:25Z | 2013-07-24T20:05:17Z | CONTRIBUTOR | null | http://pandas.pydata.org/pandas-docs/dev/timeseries.html#custom-business-days-experimental
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https://api.github.com/repos/pandas-dev/pandas/issues/4210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4210/events | https://github.com/pandas-dev/pandas/pull/4210 | 16,636,946 | MDExOlB1bGxSZXF1ZXN0Njg2NzIxNw== | 4,210 | BLD: pip 1.4 is coming, preempt issues with pytz install | {
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"i... | 0 | 2013-07-11T15:28:25Z | 2014-06-27T14:38:03Z | 2013-07-11T15:33:03Z | NONE | null | https://github.com/pypa/pip/issues/974
2011k is the version shipped with precise, I hope that's conservative enough
to avoid disruption for existing users.
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https://api.github.com/repos/pandas-dev/pandas/issues/4211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4211/events | https://github.com/pandas-dev/pandas/issues/4211 | 16,637,967 | MDU6SXNzdWUxNjYzNzk2Nw== | 4,211 | ENH: Dataframe should have a .isin() method | {
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"followers_url": "https://api.github.com/users/wesm... | 18 | 2013-07-11T15:45:24Z | 2013-09-16T17:24:30Z | 2013-07-24T21:45:38Z | CONTRIBUTOR | null | Any reason not to give `DataFrame` a `.isin()` method like `Series`?
The new wrinkle is that the user needs to specify if they want a logical OR or AND.
e.g.
``` python
In [26]: df = pd.DataFrame({'vals': [1, 2, 3, 4], 'ids': ['a', 'b', 'f', 'f'],
'ids2': ['e', 'f', 'c', 'f']})
In [27]: df
Out[27]:
ids ids2 va... | {
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"i... | 2 | 2013-07-11T15:56:50Z | 2016-10-12T23:03:59Z | 2013-07-17T13:34:50Z | CONTRIBUTOR | null | Trying current master build on Debian sid with
```
$> welp bs4
PATH : /usr/lib/python2.7/dist-packages/bs4/__init__.pyc
SRC PATH : /usr/share/pyshared/bs4/__init__.py
VERSION : Not found
__version__: '4.2.0'
PACKAGE : python-bs4
ii python-bs4 4.2.0-2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4213/events | https://github.com/pandas-dev/pandas/issues/4213 | 16,638,867 | MDU6SXNzdWUxNjYzODg2Nw== | 4,213 | BLD: _check_plot_works(df.plot) in test results in RuntimeError: Error building image | {
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"i... | 11 | 2013-07-11T16:00:03Z | 2013-07-18T04:21:25Z | 2013-07-18T01:11:41Z | CONTRIBUTOR | null | While building debian package for 0.11.0+git43-g7b2eaa4, matplotlib 1.1.1~rc2-1 and while building it should use Agg backend, that is how tests are invoked
```
python-test%: python-install%
ifeq (,$(filter nocheck,$(DEB_BUILD_OPTIONS)))
echo "backend : Agg" >| $(CURDIR)/build/matplotlibrc
: # Run unitt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4214/events | https://github.com/pandas-dev/pandas/issues/4214 | 16,639,100 | MDU6SXNzdWUxNjYzOTEwMA== | 4,214 | read_html failing in many tests: AssertionError: No tables found | {
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"i... | 43 | 2013-07-11T16:03:58Z | 2016-10-12T23:04:00Z | 2013-07-16T14:19:22Z | CONTRIBUTOR | null | typical error with
```
======================================================================
FAIL: test_banklist (pandas.io.tests.test_html.TestReadHtmlBase)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yoh/deb/gits/pkg-exppsy/build-area/pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4215/events | https://github.com/pandas-dev/pandas/issues/4215 | 16,639,252 | MDU6SXNzdWUxNjYzOTI1Mg== | 4,215 | test_invalid_colormap: ValueError not raised | {
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"i... | 10 | 2013-07-11T16:05:59Z | 2016-10-12T23:04:00Z | 2013-07-13T18:19:43Z | CONTRIBUTOR | null | ```
======================================================================
FAIL: test_invalid_colormap (pandas.tests.test_graphics.TestDataFrameGroupByPlots)
----------------------------------------------------------------------
Traceback (most recent call last):
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https://api.github.com/repos/pandas-dev/pandas/issues/4216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4216/events | https://github.com/pandas-dev/pandas/issues/4216 | 16,639,581 | MDU6SXNzdWUxNjYzOTU4MQ== | 4,216 | VIS: DataFrame.plot(kind='kde') does not display the legend. | {
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I would like to have the legend when I display the 'kde' (also called 'dentity') of a DataFrame. The `plot` method works well with the other `kind` options (i.e. `bar`, `barh` and `line`).
Following piece of code:
``` python
import numpy as np
import pandas as pd
df = pd.DataFrame({'X': np.random.randn(500),
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https://api.github.com/repos/pandas-dev/pandas/issues/4217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4217/events | https://github.com/pandas-dev/pandas/pull/4217 | 16,640,457 | MDExOlB1bGxSZXF1ZXN0Njg2OTE0NA== | 4,217 | DOC: remove savefig width parameter (#4203) | {
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"i... | 2 | 2013-07-11T16:29:01Z | 2014-06-27T11:45:17Z | 2013-07-14T14:26:48Z | MEMBER | null | Closes #4203.
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https://api.github.com/repos/pandas-dev/pandas/issues/4218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4218/events | https://github.com/pandas-dev/pandas/pull/4218 | 16,651,516 | MDExOlB1bGxSZXF1ZXN0Njg3NTQzMQ== | 4,218 | BLD: Use 'git describe' to generate the version string for dev versions | {
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```
λ sudo python ./setup.py develop
...
Installed /home/user1/src/pandas
Processing dependencies for pandas==v0.12.0rc1-48-g9442eac
Searching for numpy==1.7.1
Best match: numpy 1.7.1
Adding numpy 1.7.1 to easy-install.pth file
λ python -c 'import pandas; print pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4219/events | https://github.com/pandas-dev/pandas/issues/4219 | 16,654,898 | MDU6SXNzdWUxNjY1NDg5OA== | 4,219 | API: pandas.read_table should handle Inf the same way as inf | {
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I believe that in R, the function write.table uses "Inf" (with the uppercase) which would make importing tables exported from R more difficult.
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https://api.github.com/repos/pandas-dev/pandas/issues/4220 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4220/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4220/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4220/events | https://github.com/pandas-dev/pandas/pull/4220 | 16,661,933 | MDExOlB1bGxSZXF1ZXN0Njg4MTQyOQ== | 4,220 | ENH: Treat 'Inf' as infinity in text parser | {
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Fixes #4219.
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https://api.github.com/repos/pandas-dev/pandas/issues/4221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4221/events | https://github.com/pandas-dev/pandas/pull/4221 | 16,679,313 | MDExOlB1bGxSZXF1ZXN0Njg5MDM2OA== | 4,221 | BUG: Display the legend when calling plot with kind='density'. GH4216 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4222/events | https://github.com/pandas-dev/pandas/issues/4222 | 16,683,515 | MDU6SXNzdWUxNjY4MzUxNQ== | 4,222 | sparc test_read_dta10: KeyError: 0 self.dtyplist = [self.DTYPE_MAP[typ] for typ in typlist] | {
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======================================================================
ERROR: test_read_dta10 (pandas.io.tests.test_stata.StataTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yoh/deb/gits/pkg-exppsy/pandas/debian/tmp/usr/lib/python2.7/di... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4223/events | https://github.com/pandas-dev/pandas/issues/4223 | 16,683,556 | MDU6SXNzdWUxNjY4MzU1Ng== | 4,223 | BLD: sparc test_decimalDecodeTest - {u'a': 4.56} + {u'a': 4.5600000000000005} | {
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"i... | 9 | 2013-07-12T14:17:33Z | 2013-07-18T20:31:48Z | 2013-07-18T20:31:48Z | CONTRIBUTOR | null | ```
======================================================================
FAIL: test_decimalDecodeTest (pandas.io.tests.test_json.test_ujson.UltraJSONTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yoh/deb/gits/pkg-exppsy/pandas/debian/tmp/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4224/events | https://github.com/pandas-dev/pandas/issues/4224 | 16,685,498 | MDU6SXNzdWUxNjY4NTQ5OA== | 4,224 | fast cross correlation function/method | {
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the numpy version is dog slow
something like
``` python
s.xcorr(s2, lags=100, scaling='normalized') # first 100 lags, scaled to be -1 <= 0 <= 1
df.xcorr() # al... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4225/events | https://github.com/pandas-dev/pandas/issues/4225 | 16,698,210 | MDU6SXNzdWUxNjY5ODIxMA== | 4,225 | BUG: infinite loop when column index includes periodindex and string | {
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] | closed | false | null | [] | null | 1 | 2013-07-12T19:27:22Z | 2013-07-13T00:33:18Z | 2013-07-13T00:33:18Z | NONE | null | the following code creates an infinite loop in python:
import pandas as pd
cols = [pd.Period('1998', 'A-DEC'), pd.Period('1999', 'A-DEC'), 'test']
df = pd.DataFrame(np.random.randn(10, 3), columns=cols)
df[[pd.Period('1998'), pd.Period('1999')]]
It appears to be because Index.get_indexer changes the index from an i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4226/events | https://github.com/pandas-dev/pandas/issues/4226 | 16,703,052 | MDU6SXNzdWUxNjcwMzA1Mg== | 4,226 | API: DateTimeIndex slicing removes name label | {
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Steps to reproduce:
``` python
import pandas as pd
st = pd.Timestamp('2013-07-01 00:00:00', tz='America/Los_Angeles')
et = pd.Timestamp('2013-07-02 00:00:00', tz='America/Los_Angeles')
dr = pd.date_range(st, et, freq='H', name='timebucket')
assert dr.name == 'ti... | {
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```
In [11]: import sqlite3 as sql
In [12]: dfi = DataFrame(randint(10, size=(10, 3)))
In [13]: conn = sql.connect(':memory:')
In [14]: dfi.to_sql('blah', conn)
---------------------------------------------------------------------------
AttributeEr... | {
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"i... | 0 | 2013-07-13T00:44:41Z | 2014-07-16T08:19:04Z | 2013-07-13T01:27:34Z | CONTRIBUTOR | null | closes #4222
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"i... | 1 | 2013-07-13T14:34:58Z | 2013-07-14T19:21:18Z | 2013-07-14T19:21:09Z | CONTRIBUTOR | null | Initializing a DatetimeIndex with a list of strings behaves differently than initializing with a numpy array of strings. To me these should behave the same and I personally like the list behavior better. My understanding of the tz argument to DatetimeIndex is that it is localizing rather than converting in which case... | {
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http://stackoverflow.com/questions/17370826/create-pandas-timezone-aware-datetimeindex-on-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4232/events | https://github.com/pandas-dev/pandas/pull/4232 | 16,717,201 | MDExOlB1bGxSZXF1ZXN0NjkxMDA3NA== | 4,232 | CLN/TST: clean up and raise on bs4 version and no tables | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4233/events | https://github.com/pandas-dev/pandas/pull/4233 | 16,717,923 | MDExOlB1bGxSZXF1ZXN0NjkxMDM0NA== | 4,233 | BUG: Index removes name when sliced | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4234/events | https://github.com/pandas-dev/pandas/pull/4234 | 16,718,149 | MDExOlB1bGxSZXF1ZXN0NjkxMDQyNg== | 4,234 | BUG: initialize DatetimeIndex with array of strings (#4229) | {
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"i... | 8 | 2013-07-13T18:27:35Z | 2014-06-18T22:09:26Z | 2013-07-14T19:20:15Z | MEMBER | null | Possibly a fix for #4229.
The rationale is that an array of strings should be handled in the same way as a list of strings (after applying `np.asarray(list)`), and I supposed that the list was handling the timezone correctly.
##
More in detail:
- handling of the list of strings: https://github.com/pydata/pandas/blob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4235/events | https://github.com/pandas-dev/pandas/issues/4235 | 16,721,697 | MDU6SXNzdWUxNjcyMTY5Nw== | 4,235 | BUG: Boolean indexing on an empty series loses index names | {
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import pandas as pd
df = pd.DataFrame({'a': [], 'b': [], 'c': []})
df = df.set_index(['a', 'b'])
print df.c.index.names
print df.c[df.c.isnull()].index.names
```
Output:
```
['a', 'b']
[None]
```
The problem is that the empty boolean mask isn't recognized as a boolean array by infer_dtype in inference.pyx.
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https://api.github.com/repos/pandas-dev/pandas/issues/4237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4237/events | https://github.com/pandas-dev/pandas/pull/4237 | 16,728,413 | MDExOlB1bGxSZXF1ZXN0NjkxMzkyNQ== | 4,237 | ENH: DataFrame isin | {
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See #4211 for more info.
A few things to check before this is ready to merge:
This is basically a convenience method. I use the `Series` method for each column passed, and aggregate the methods sensibly.
A few questions before merge though:
- Do we have a preference for `any`/`all` vs. `and`/`or`? Se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4238/events | https://github.com/pandas-dev/pandas/pull/4238 | 16,735,529 | MDExOlB1bGxSZXF1ZXN0NjkxNjIxNQ== | 4,238 | TST: remove fudgy ujson test #4223 | {
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using scipy 0.10 for 2.7 builds and 0.12 for 3.2 and 3.3 builds
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cc @cpcloud @jtratner
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'Series', 'date_range' or other Pandas methods are missing 'pd.'.
If you evaluate the code examples, you get this error:
```
NameError: name 'Series' is not defined... | {
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"i... | 2 | 2013-07-15T21:50:54Z | 2013-07-15T22:56:02Z | 2013-07-15T22:56:02Z | CONTRIBUTOR | null | The following currently are exceptions in master(the corresponding operations on DataFrames work though)
```
In [4]: s = Series([1,2,3,4],['foo','bar','foo','bah'])
In [5]: s.ix[['foo','bar','bah','bam']]
NotImplementedError: cannot handle non-unique indexing for non-DataFrame (yet)
In [6]: s[['foo','bar','bah','bam... | {
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```
In [3]: s = Series([1,2,3,4],['foo','bar','foo','bah'])
In [4]: s.ix[['foo','bar','bah','bam']]
Out[4]:
foo 1
foo 3
bar 2
bah 4
bam NaN
dtype: float64
In [5]: s[['foo','bar','bah','bam']]
Out[5]:
foo 1
foo 3
bar 2
bah 4
bam NaN
dtype: float64
```
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"i... | 7 | 2013-07-15T23:45:03Z | 2016-10-12T23:04:00Z | 2013-07-16T13:19:21Z | CONTRIBUTOR | null | (master)[maye@luna4 ~/src/pandas]$ git log -1
commit 1e69dade1309b494e43f26f9831326c2ce63f7de
Merge: 5be1e5a 5b908a5
Author: Phillip Cloud cpcloud@gmail.com
Date: Mon Jul 15 16:17:06 2013 -0700
```
Merge pull request #4248 from cpcloud/mpl-1.1.1-build
BLD: use mpl 1.1.1 in python 2.7 production travis build
```
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better match PEP8 where reasonable. Thanks to PyCharm for making this much
easier. Doesn't change any .pyx or .pyd files. (inspired by import issue
in #4249)
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"i... | 8 | 2013-07-16T02:55:33Z | 2016-10-12T23:04:00Z | 2013-07-17T13:28:48Z | CONTRIBUTOR | null | Was testing 0.12.0~rc1+git79-g50eff60 on a sparc for the recent fixes: test_html tests puked before trying with
```
======================================================================
ERROR: test_bad_url_protocol (pandas.io.tests.test_html.TestReadHtmlBase)
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```
======================================================================
FAIL: test_fallback_success (pandas.io.tests.test_html.TestReadHtmlLxml)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yoh/deb/gits/pkg-exp... | {
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Use raise instead, so that user could received error stack in funv(v) call. Easier for user to debug.
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In [1]: import pandas as pd
In [2]: import datetime
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Since it's working with python 2.7, it should be a way to revert python 3 string to python ... | {
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"i... | 1 | 2013-07-16T13:15:20Z | 2014-06-28T10:41:40Z | 2013-07-16T14:19:22Z | MEMBER | null | closes #4214, #4252, #4253
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https://api.github.com/repos/pandas-dev/pandas/issues/4258 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4258/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4258/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4258/events | https://github.com/pandas-dev/pandas/pull/4258 | 16,809,406 | MDExOlB1bGxSZXF1ZXN0Njk1MzU5OQ== | 4,258 | ENH: Dataframe isin2 | {
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DataFrame isin method:
```
In [11]: df = pd.DataFrame([['a', 'a', 'c'], ['b', 'e', 'a'], ['c', 'a', 'f']], columns=['A', 'A', 'B'])
In [12]: df
Out[12]:
A A B
0 a a c
1 b e a
2 c a f
In [13]: df.isin(['a'])
Out[13]:
A A B
0 True True ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4259/events | https://github.com/pandas-dev/pandas/pull/4259 | 16,812,544 | MDExOlB1bGxSZXF1ZXN0Njk1NTMyNA== | 4,259 | TST/BLD: add proper skips for bad bs4 version | {
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"i... | 4 | 2013-07-16T14:31:36Z | 2014-07-16T08:19:30Z | 2013-07-16T21:29:53Z | MEMBER | null | Make sure things are being properly skipped because of a bad bs4 version.
Also adds a 4.2.0 known bad version of bs4 to 26 travis build so that we can verify that tests are being skipped when the version is bad.
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https://api.github.com/repos/pandas-dev/pandas/issues/4260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4260/events | https://github.com/pandas-dev/pandas/issues/4260 | 16,813,496 | MDU6SXNzdWUxNjgxMzQ5Ng== | 4,260 | HDF5 files not compatible between python 2 and 3 ? | {
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Here is the error when I load **FROM python 3.3** an h5 file created **BY python 2.7**:
```
Traceback (most recent call... | {
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"i... | 0 | 2013-07-16T14:57:04Z | 2013-07-16T20:31:00Z | 2013-07-16T20:31:00Z | MEMBER | null | Would be nice to know what is being skipped
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https://api.github.com/repos/pandas-dev/pandas/issues/4262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4262/events | https://github.com/pandas-dev/pandas/pull/4262 | 16,820,352 | MDExOlB1bGxSZXF1ZXN0Njk1OTY3Ng== | 4,262 | BLD/TST/CI: add script to show skipped tests at the end of a build | {
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"i... | 14 | 2013-07-16T16:47:01Z | 2014-07-16T08:19:31Z | 2013-07-16T20:31:00Z | MEMBER | null | closes #4261.
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https://api.github.com/repos/pandas-dev/pandas/issues/4263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4263/events | https://github.com/pandas-dev/pandas/issues/4263 | 16,822,607 | MDU6SXNzdWUxNjgyMjYwNw== | 4,263 | python3.2 offsets.py: TypeError: Cannot cast ufunc subtract input from dtype('<M8[D]') to dtype('<M8[us]') with casting rule 'same_kind' | {
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"i... | 23 | 2013-07-16T17:32:44Z | 2013-07-17T14:01:17Z | 2013-07-17T14:01:17Z | CONTRIBUTOR | null | in pandas.tseries.tests.test_daterange.TestCustomDateRange tests many fail at v0.12.0rc1-90-g4c2d050
```
======================================================================
ERROR: test_repr (pandas.tseries.tests.test_daterange.TestCustomDateRange)
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https://api.github.com/repos/pandas-dev/pandas/issues/4264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4264/events | https://github.com/pandas-dev/pandas/issues/4264 | 16,828,023 | MDU6SXNzdWUxNjgyODAyMw== | 4,264 | DataFrame.boxplot returns a dict instead of axes | {
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"labels_url": "htt... | 14 | 2013-07-16T19:18:29Z | 2014-05-16T20:26:42Z | 2014-05-16T20:26:42Z | NONE | null | The docstring for `DataFRame.boxplot` claims that the method returns matplotlib axes:
```
Returns
-------
ax : matplotlib.axes.AxesSubplot
```
In fact, it instead returns a dict:
```
In [71]: data.boxplot()
Out[71]:
{'boxes': [<matplotlib.lines.Line2D at 0x10e376110>,
<matplotlib.lines.Line2D at 0x10e491350>,
<m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4265/events | https://github.com/pandas-dev/pandas/issues/4265 | 16,834,170 | MDU6SXNzdWUxNjgzNDE3MA== | 4,265 | test_bs4_version_fails: ImportError: html5lib not found please install it | {
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"i... | 0 | 2013-07-16T21:12:16Z | 2016-10-12T23:04:01Z | 2013-07-16T22:02:44Z | CONTRIBUTOR | null | ```
======================================================================
ERROR: pandas.io.tests.test_html.test_bs4_version_fails
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4266/events | https://github.com/pandas-dev/pandas/issues/4266 | 16,834,244 | MDU6SXNzdWUxNjgzNDI0NA== | 4,266 | python3 test_value_counts_nunique : TypeError: unhashable type: 'NaTType' | {
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```
======================================================================
ERROR: test_value_counts_nunique (pandas.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yoh/deb/gits/pkg-exppsy/pandas/deb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4267/events | https://github.com/pandas-dev/pandas/pull/4267 | 16,835,066 | MDExOlB1bGxSZXF1ZXN0Njk2Nzg5Nw== | 4,267 | TST: skip if no html5lib since bs4 needs it | {
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"i... | 0 | 2013-07-16T21:49:06Z | 2013-07-16T22:17:54Z | 2013-07-16T22:17:54Z | MEMBER | null | occasional timeout is starting to get annoying
https://travis-ci.org/pydata/pandas/builds/9156655
i removed it for a previous pr that i shoudn't have
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https://api.github.com/repos/pandas-dev/pandas/issues/4271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4271/events | https://github.com/pandas-dev/pandas/pull/4271 | 16,838,040 | MDExOlB1bGxSZXF1ZXN0Njk2OTU5NQ== | 4,271 | Easier sub-classing for Series and DataFrame | {
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``` python
In [1]: from pandas ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4272/events | https://github.com/pandas-dev/pandas/issues/4272 | 16,860,155 | MDU6SXNzdWUxNjg2MDE1NQ== | 4,272 | BUG: dtypes on empty frame are incorrect | {
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In [1]: df = DataFrame(columns=list('xyz'))
In [2]: df
Out[2]:
Empty DataFrame
Columns: [x, y, z]
Index: []
In [3]: df.dtypes
Out[3]:
x NaN
y NaN
z NaN
dtype: float64
In [5]: df['x'].dtype
Out[5]: dtype('O')
```
expected
```
In [11]: Series(dict([ (s,np.dtype('O')) for s in list('xyz')]))
Out[11]:
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-07-17T11:54:12Z | 2013-08-23T14:33:19Z | 2013-08-23T14:33:19Z | CONTRIBUTOR | null | writing to an HDFStore with an empty-frame with invalid dtypes raises, maybe should just proceed (or is it the dtypes call that is actually wrong here: see #4272)
came up in this question: http://stackoverflow.com/questions/17691912/problems-with-merging-on-disk-tables-with-millions-of-rows/17698740#17698740
```
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"i... | 5 | 2013-07-17T12:18:46Z | 2013-08-21T21:13:08Z | 2013-07-20T01:40:54Z | CONTRIBUTOR | null | Testing d070a1f
```
======================================================================
FAIL: test_frame_from_json_to_json (pandas.io.tests.test_json.test_pandas.TestPandasContainer)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/yoh/deb/gits... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4275 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4275/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4275/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4275/events | https://github.com/pandas-dev/pandas/issues/4275 | 16,861,473 | MDU6SXNzdWUxNjg2MTQ3Mw== | 4,275 | python3.2: test_html ImportError: html5lib not found please install it | {
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"i... | 1 | 2013-07-17T12:22:30Z | 2016-10-12T23:04:01Z | 2013-07-17T14:37:44Z | CONTRIBUTOR | null | Now (d070a1f) that #4265 fixed, all the test_html tests fail similarly
```
======================================================================
ERROR: test_bad_url_protocol (pandas.io.tests.test_html.TestReadHtmlBase)
----------------------------------------------------------------------
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https://api.github.com/repos/pandas-dev/pandas/issues/4277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4277/events | https://github.com/pandas-dev/pandas/issues/4277 | 16,864,670 | MDU6SXNzdWUxNjg2NDY3MA== | 4,277 | Remove html5lib from one of the FULL_DEPS builds | {
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"i... | 0 | 2013-07-17T13:37:44Z | 2013-07-17T20:26:01Z | 2013-07-17T20:26:01Z | MEMBER | null | To make sure that its tests are being skipped correctly
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https://api.github.com/repos/pandas-dev/pandas/issues/4278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4278/events | https://github.com/pandas-dev/pandas/pull/4278 | 16,864,815 | MDExOlB1bGxSZXF1ZXN0Njk4Mzc4Ng== | 4,278 | TST/CI: remove html5lib from 3.2 build | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4279 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4279/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4279/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4279/events | https://github.com/pandas-dev/pandas/issues/4279 | 16,882,854 | MDU6SXNzdWUxNjg4Mjg1NA== | 4,279 | BUG/ENH: should idxmax/idxmin work on object types? | {
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"f... | 5 | 2013-07-17T19:06:40Z | 2021-10-29T01:55:27Z | null | CONTRIBUTOR | null | - `numeric_only=True` flag to `min,max,idxmax,idxmin` to select out numeric only
- fix `idxmax` on object dtypes (related to #4147)
related is #6287
Just happened to come across this. Related to #2982
```
df = pd.DataFrame([["zimm", 2.5],["biff", 1.],["bid", 12.]])
```
This is fine (I was surprised it worked for ob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4280/events | https://github.com/pandas-dev/pandas/issues/4280 | 16,884,808 | MDU6SXNzdWUxNjg4NDgwOA== | 4,280 | MemoryError when using .loc or .ix | {
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"i... | 11 | 2013-07-17T19:33:22Z | 2013-07-18T03:15:42Z | 2013-07-18T03:00:27Z | NONE | null | <pre>
from pandas import *
df = read_csv(open('mydata.csv.gz', 'r'), compression='gzip', index_col=False)
df = df[(df.land != 1)]
print df
# <class 'pandas.core.frame.DataFrame'>
# Int64Index: 977579 entries, 0 to 1100398
# Data columns (total 89 columns):
# <snip>
# sample 100,000 rows, only use some of the columns
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"i... | 5 | 2013-07-18T00:59:57Z | 2014-06-13T10:27:53Z | 2013-07-18T03:15:21Z | MEMBER | null | get_data_famafrench was not returning any data because of an incorrect slice
and read + splitlines != readlines for zipfiles
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https://api.github.com/repos/pandas-dev/pandas/issues/4283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4283/events | https://github.com/pandas-dev/pandas/pull/4283 | 16,901,025 | MDExOlB1bGxSZXF1ZXN0NzAwMzEzNw== | 4,283 | BUG: Fixed non-unique indexing memory allocation issue with .ix/.loc (GH4280) | {
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"i... | 0 | 2013-07-18T02:41:10Z | 2014-07-09T17:56:10Z | 2013-07-18T03:00:27Z | CONTRIBUTOR | null | closes #4280
Had a weird memory allocation scheme (that's why is a _scheme_!) when determining
a non-unique indexer. Fixed to use a dynamic schema
```
In [1]: columns = list('ABCDEFG')
def gen_test(l,l2):
return pd.concat([ DataFrame(randn(l,len(columns)),index=range(l),columns=columns),
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https://api.github.com/repos/pandas-dev/pandas/issues/4285 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4285/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4285/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4285/events | https://github.com/pandas-dev/pandas/pull/4285 | 16,916,300 | MDExOlB1bGxSZXF1ZXN0NzAxMTIxOA== | 4,285 | Update CONTRIBUTING.md with note on attribution in PRs | {
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Objections?
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This [1] suggests that the following should raise an error. It doesn't for me on f1d35ee nor is its behavior obvious.
```
randn = np.random.randn
df = pd.DataFrame(randn(5,5))
df.ix[-2:]
```
[1] http://pandas.pydata.org/pandas-docs/dev/gotchas.html#... | {
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```
Wes,
I'm stuck on something and I was hoping for your help.
I wrote a function a year back that iterates element by element through a
DataFrame of about 1200 columns by 2000 rows. It runs some basic operations,
but nothing crazy... | {
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```
/home/data/flash_supression/yarik/scripts/utils.pyc in paired_t_anal(d, value, testcol, rows, cols, print_pt, plots, aggfunc)
162 pvalues = np.array(pvalues, ndmin=1)
163
--> 164 pt_paired_t = DataFrame(np.array([np.mean(v0, axis=0),
165 ... | {
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"due_on": "2013-07-05T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 9 | 2013-07-19T00:11:05Z | 2013-07-20T01:44:20Z | 2013-07-20T01:36:53Z | CONTRIBUTOR | null | Detected by Debian build farm
https://buildd.debian.org/status/fetch.php?pkg=pandas&arch=powerpc&ver=0.12.0~rc1%2Bgit112-gb79996c-1&stamp=1374189622&file=log
```
======================================================================
FAIL: test_nat_parse (pandas.io.tests.test_parsers.TestCParserHighMemory)
------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4293 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4293/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4293/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4293/events | https://github.com/pandas-dev/pandas/issues/4293 | 16,978,984 | MDU6SXNzdWUxNjk3ODk4NA== | 4,293 | "Function does not reduce" for multiindex, but works fine for single index. | {
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"f... | 17 | 2013-07-19T16:10:17Z | 2018-05-18T07:33:25Z | 2018-05-18T07:33:25Z | NONE | null | When I use pd.Series.tolist as a reducer with a single column groupby, it works.
When I do the same with multiindex, it does not.
It seems the "fast" cython groupby function, which has no quarrel with reducing into lists, throws an exception if the index is "complex", which seem to mean multiindex. When that exception... | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-07-19T16:56:42Z | 2013-10-02T19:10:22Z | 2013-10-02T19:10:22Z | CONTRIBUTOR | null | I have a series with a multiindex (datetime, int).
When I try to access a slice corresponding to a date using a Timestamp I have an exception printed to screen if the size of the series is >= 1e6.
No problem if I access the same slice with a string.
No problem with an equivalent dataframe.
Tested on 0.10.1 and 0.11, I'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4295/events | https://github.com/pandas-dev/pandas/pull/4295 | 16,984,322 | MDExOlB1bGxSZXF1ZXN0NzA0ODczMQ== | 4,295 | TST: raise an error json serialization of floats that cannot be accurate represented | {
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```
In [1]: DataFrame([[1e-16,'foo',1e-8]],columns=list('ABC')).to_json()
ValueError: ujson currently cannot accurately format float data less
than 1e-15. A work-around is to multiply the data by
a large positive factor and divide on deseriliazation
```
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https://api.github.com/repos/pandas-dev/pandas/issues/4296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4296/events | https://github.com/pandas-dev/pandas/pull/4296 | 16,989,969 | MDExOlB1bGxSZXF1ZXN0NzA1MTgyMQ== | 4,296 | Use psutil to set process affinity (test_perf.py) + minor pylint-friendliness for ._ix | {
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"i... | 5 | 2013-07-19T20:02:59Z | 2014-06-15T07:02:25Z | 2013-07-20T00:30:57Z | CONTRIBUTOR | null | please test test_perf.py -- I have rebased against master and had to resolve conflicts
Cheers,
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https://api.github.com/repos/pandas-dev/pandas/issues/4297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4297/events | https://github.com/pandas-dev/pandas/issues/4297 | 16,990,855 | MDU6SXNzdWUxNjk5MDg1NQ== | 4,297 | API: Missing support for creating a DataFrame from Python native arrays (or other objects supporting the buffer protocol) | {
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"followers_url": "https://api.github.com/users/wesm... | 17 | 2013-07-19T20:23:13Z | 2013-09-13T22:54:42Z | 2013-09-13T22:54:42Z | CONTRIBUTOR | null | ``` python
import pandas
import array
x=array.array('i', range(10))
pdf = pandas.DataFrame.from_items([('a', x)])
# fails with:
# ValueError: If use all scalar values, must pass index
```
Also, since x has a `__len__` may be the error message should not refer to a scalar.
Explicit casting to numpy arrays is a worka... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4298/events | https://github.com/pandas-dev/pandas/issues/4298 | 16,996,961 | MDU6SXNzdWUxNjk5Njk2MQ== | 4,298 | ENH: Add bw_method and ind kwargs to kind='kde' plot method | {
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"followers_url": "https://api.github.com/users/wesm... | 16 | 2013-07-19T22:48:00Z | 2013-08-26T19:14:52Z | 2013-08-26T19:14:52Z | NONE | null | It'd be really cool when plotting kde's to be able to set the bandwidth used for the kde and the indices at which it is evaluated. This is done with the bw_method kwarg for scipy.stats.gaussian_kde for scipy >= 0.11, a couple years old now, for the former; a variable ind is created in the pandas class KdePlot's _make_p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4299/events | https://github.com/pandas-dev/pandas/pull/4299 | 16,997,554 | MDExOlB1bGxSZXF1ZXN0NzA1NjA2MA== | 4,299 | ENH: ujson better handling of very large and very small numbers, throw ValueError for bad double_precision arg #4042 | {
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"i... | 8 | 2013-07-19T23:09:52Z | 2014-07-16T08:19:56Z | 2013-07-20T01:45:17Z | CONTRIBUTOR | null | closes #4042
This makes ujson handle very big and very small numbers a bit better, it doesn't help with precision but it should at least be able to handle very small and large exponentials now:
```
In [4]: from pandas.json import dumps
In [5]: dumps(1e-5)
Out[5]: '0.00001'
In [6]: dumps(1e-6)
Out[6]: '0.000001'
In... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4300/events | https://github.com/pandas-dev/pandas/pull/4300 | 16,998,269 | MDExOlB1bGxSZXF1ZXN0NzA1NjQ4MA== | 4,300 | ENH: expose ujson precise_float argument on decode | {
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"i... | 9 | 2013-07-19T23:36:46Z | 2014-06-19T13:51:40Z | 2013-07-20T00:58:15Z | CONTRIBUTOR | null | The new version of ujson takes a boolean `precise_float` argument when decoding, this should be exposed when decoding pandas objects.
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