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https://api.github.com/repos/pandas-dev/pandas/issues/6203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6203/events | https://github.com/pandas-dev/pandas/pull/6203 | 26,684,843 | MDExOlB1bGxSZXF1ZXN0MTIwNzk5NTA= | 6,203 | small py3 fixes | {
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"labels_url": "htt... | 23 | 2014-01-31T14:54:46Z | 2014-06-12T21:23:08Z | 2014-02-06T14:59:23Z | CONTRIBUTOR | null | This commit modifies the call to numpy.result_type to get around the
NPY_MAXARGS limit, which at the moment is 32. Instead of passing a
generator of all types involved in an expression, the type promotion
is done on a pair-wise basis with a call to reduce.
This fixes bugs for code such as the following:
```
from num... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6207/events | https://github.com/pandas-dev/pandas/pull/6207 | 26,691,271 | MDExOlB1bGxSZXF1ZXN0MTIwODM2MzM= | 6,207 | DOC: add links to other pages to contributing.rst | {
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Here is a minimal example:
``` python
index = pd.MultiIndex(levels=[['foo', 'bar', 'baz', 'qux'],
['one', 'two', 'three']],
labels=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3],
[0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
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From `df.plot(kind='bar', use_index=False)`:
From `df.plot(use_index=False)`:
![line_false](https://f.cloud.github.com/assets/1312546/2053715/d6ad... | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-31T19:25:17Z | 2014-06-13T02:06:23Z | 2014-01-31T21:30:11Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/6209
Here's the fixed output for the same example from the issue: `df.plot(kind='bar', use_index=False)`:
I thew it in `.13.1`, can push to `.14` if need be.
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https://api.github.com/repos/pandas-dev/pandas/issues/6211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6211/events | https://github.com/pandas-dev/pandas/pull/6211 | 26,709,697 | MDExOlB1bGxSZXF1ZXN0MTIwOTE4Nzk= | 6,211 | DOC: Fix typo in Melt section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6212/events | https://github.com/pandas-dev/pandas/issues/6212 | 26,717,199 | MDU6SXNzdWUyNjcxNzE5OQ== | 6,212 | DOC/PY3: DataFrame.groupby fails in docs examples | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-31T21:33:37Z | 2014-02-03T20:50:05Z | 2014-02-01T18:12:17Z | CONTRIBUTOR | null | This is a follow-up on #5530 and the general Python 3 compat for docs issue. It is the first episode of my journey into the unknown Python-3-compat-for-doc-examples-land.
While some errors should be rather easy to fix (e.g. `xrange`) I just stumbled upon this one (`doc/source/comparison_with_r.rst` line 54) which fail... | {
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and expanding our sections, led by @jorisvandenbossche.
A possible next step is to create a catalog of code examples by method,
with ipython_directive output, and making it easilyy accessible while working
in ipython.
It might be a systematic expan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6214/events | https://github.com/pandas-dev/pandas/issues/6214 | 26,728,367 | MDU6SXNzdWUyNjcyODM2Nw== | 6,214 | BUG: pandas 0.13 Series argmax/argmin returns index label instead of location (changed from 0.12) | {
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In [14]: pd.**version**
Out[14]: '0.12.0'
In [15]: a=pd.Series(range(3), index=('2','3','4'))
In [16]: a.argmax()
Out[16]: 2
In [17]: a.idxmax()
Out[17]: '4'
------------------------ pandas 0.13 --------
In [2]: pd.**version**
Out[2]: '0.13.0'
In [3]: a=pd.Series(range... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6215/events | https://github.com/pandas-dev/pandas/issues/6215 | 26,730,583 | MDU6SXNzdWUyNjczMDU4Mw== | 6,215 | unanticipated get_dummies behavior with missing values | {
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print s
0 A
1 B
2 NaN
3 C
print pd.get_dummies(s)
A B C
0 1 0 0
1 0 1 0
2 0 0 1
3 0 0 1
In the third row,col C, the indicator should be 0 not 1.
Seems you'd either want to add a column for NaN values or fix the issue above
sorry for bad form... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6216/events | https://github.com/pandas-dev/pandas/pull/6216 | 26,731,707 | MDExOlB1bGxSZXF1ZXN0MTIxMDQxNTU= | 6,216 | CLN: PEP8 cleanup of rpy/tests | {
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Ran autopep8, then fixed remaining errors manually. Test still passes locally.
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https://api.github.com/repos/pandas-dev/pandas/issues/6217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6217/events | https://github.com/pandas-dev/pandas/pull/6217 | 26,733,804 | MDExOlB1bGxSZXF1ZXN0MTIxMDUxMDE= | 6,217 | BLD: setup.py version strings. handle shallow clones and installing from sdist | {
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"labels_url": "htt... | 1 | 2014-02-01T07:36:21Z | 2014-07-16T08:51:22Z | 2014-02-04T08:51:51Z | NONE | null | Travis exposed a corner case in the handling of version strings since the `git-describe` shakeup.
Previously (0.10.1), version strings were of the form:
```
v0.10.1 # release
v0.10.1.dev # dev, no git available
v0.10.1.dev-abcd1234 # dev, git available
```
Now that we use git-describe, here's the case breakdown:
- r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6218/events | https://github.com/pandas-dev/pandas/pull/6218 | 26,735,151 | MDExOlB1bGxSZXF1ZXN0MTIxMDU2NDE= | 6,218 | BLD: Cut Travis-CI build times by 30-50% | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6219/events | https://github.com/pandas-dev/pandas/issues/6219 | 26,736,719 | MDU6SXNzdWUyNjczNjcxOQ== | 6,219 | Reducing memory footprint for catagoricals | {
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"des... | closed | false | null | [] | null | 4 | 2014-02-01T11:50:11Z | 2014-02-04T12:55:11Z | 2014-02-04T12:53:56Z | NONE | null | python uses 32 bytes for every int.
numpy uses 4 bytes for an int32 (with which you can index billion of keys).
We currently have a hardwired if preventing single-level multi-indexes,
which would allow us to take advantage of factorization to reduce memory
consumption by ~8x for indices which have lots of duplicates.
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Since it's for interactive use, it should be ok to change the default
without breaking existing code.
we did the same to `to_clipboard()` in #5070, I missed the fact that
`read_clipboard` only works out of the box for pure numerical data right now.
W... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6224/events | https://github.com/pandas-dev/pandas/issues/6224 | 26,751,644 | MDU6SXNzdWUyNjc1MTY0NA== | 6,224 | From wiki, undocumented public functions | {
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Don't know what's the issue `pd.to_pickle` is certainly documented.
@JanSchulz?
```
Undocumented public functions
The following was found by http://nbviewer.ipython.org/urls/gist.github.com/JanSchulz/6874142/raw/fadef84066d89b3ceb7532e762ed06d8... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6225/events | https://github.com/pandas-dev/pandas/issues/6225 | 26,753,618 | MDU6SXNzdWUyNjc1MzYxOA== | 6,225 | Weird error in master when asked for type(df) | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-02-02T03:34:02Z | 2014-02-02T06:02:28Z | 2014-02-02T05:54:16Z | CONTRIBUTOR | null | ``` python
In [9]: type(detectors)
WARNING: Exception in text/html formatter: unbound method _repr_html_() must be called with DataFrame instance as first argument (got nothing instead)
Out[9]:
pandas.core.frame.DataFrame
In [10]: detectors.info()
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 1565757 entries, 20... | {
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we can calcuate memory footprint.
For python objects as well we can determine footprint based on platform,
python ver/bits and object type.
We can use thse to generate a report of amount of memory used and where.
That would be useful and not difficult... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6229/events | https://github.com/pandas-dev/pandas/issues/6229 | 26,759,512 | MDU6SXNzdWUyNjc1OTUxMg== | 6,229 | DOC/PY3: np.unique errors on pd.Series with mixed string/float in python3 | {
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"labels_url": "htt... | 9 | 2014-02-02T11:45:19Z | 2016-12-29T13:57:13Z | 2014-02-05T16:17:23Z | CONTRIBUTOR | null | In a similar fashion as #6212, the following fails on Python 3 (`doc/source/reshaping.rst`):
``` python
import numpy as np
import pandas as pd
x = pd.Series(['A', 'A', np.nan, 'B', 3.14, np.inf])
np.unique(x, return_inverse=True)[::-1])
```
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6230/events | https://github.com/pandas-dev/pandas/pull/6230 | 26,762,325 | MDExOlB1bGxSZXF1ZXN0MTIxMTUzNDA= | 6,230 | DOC/PY3: Python 3 docs example compat for range, StringIO and datetime | {
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Fixes examples in documentation to be compatible with Python 3. Also tested it locally under Python 2.
- Turned occurrences of `(x)range()` to `range()` for iteration and to `list(range())` for list concat.
- Fixed leading zero argument(s) as in e.g. `datetime(2013, 01, 27)`.
- Removed explicit `Stri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6231/events | https://github.com/pandas-dev/pandas/pull/6231 | 26,762,883 | MDExOlB1bGxSZXF1ZXN0MTIxMTU1NTQ= | 6,231 | TST: add tests for algos.factorize (GH6212) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6232/events | https://github.com/pandas-dev/pandas/issues/6232 | 26,763,700 | MDU6SXNzdWUyNjc2MzcwMA== | 6,232 | DOC: consolidate developer docs in main docs | {
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... | 4 | 2014-02-02T16:15:07Z | 2015-04-03T00:41:09Z | 2015-04-03T00:41:09Z | MEMBER | null | There is a new page in the docs 'Contributing to pandas', with at the moment the docs on contributing the documentation. And in #6207 I added already some links to various pages.
At the moment, the information for contributors is a bit scattered:
- The developer pages on the website (http://pandas.pydata.org/developer... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6233/events | https://github.com/pandas-dev/pandas/pull/6233 | 26,765,879 | MDExOlB1bGxSZXF1ZXN0MTIxMTY2ODQ= | 6,233 | BLD: Build and publish docs (sans API) as part of Travis jobs | {
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Now that travis is down to 5 minutes https://github.com/pydata/pandas/pull/6227, and
doc builds have been accelerated as well #6179, it's possible to include a doc build as part
of our CI process without incurring long build times.
This PR runs the build process in the background so that... | {
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"labels_url": "htt... | 1 | 2014-02-03T03:38:23Z | 2014-04-28T00:47:00Z | 2014-04-28T00:47:00Z | NONE | null | Ive started work on the release [checklist](https://github.com/pydata/pandas/wiki/Release-Checklist), here's the vbench run against v0.13.0 (>30%):
```
indexing_dataframe_boolean_rows | 0.5086 | 0.3866 | 1.3155 |
groupby_transform | 265.5996 | 194.6437 | 1.3645 |
query_d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6235/events | https://github.com/pandas-dev/pandas/pull/6235 | 26,780,600 | MDExOlB1bGxSZXF1ZXN0MTIxMjE4MjI= | 6,235 | BLD: various test_perf fixes | {
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if you tried `test_perf -t HEAD -b v0.13.0` and got a weird error, fixed. (git weirdness, fyi @cpcloud)
- try to Disable frame_expand_repr when printing stats, pasting results for comparison is much easier
that way.
- Added --temp-dir to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6236/events | https://github.com/pandas-dev/pandas/issues/6236 | 26,804,425 | MDU6SXNzdWUyNjgwNDQyNQ== | 6,236 | foo | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6237/events | https://github.com/pandas-dev/pandas/issues/6237 | 26,807,292 | MDU6SXNzdWUyNjgwNzI5Mg== | 6,237 | Cannot load valid object form HDF5 | {
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... | [] | closed | false | null | [] | null | 6 | 2014-02-03T14:46:03Z | 2014-02-25T12:40:53Z | 2014-02-25T12:40:53Z | NONE | null | I have a rather weird error. I am essentially running the following code:
``` python
data = pd.read_hdf(filename.h5, pathstring)
```
I have also tried it in two steps
``` python
store = pd.HDFStore(filename.h5)
data = store.get(pathstring)
```
The problem is that when I am running the code on console/ipython it se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6238/events | https://github.com/pandas-dev/pandas/issues/6238 | 26,809,122 | MDU6SXNzdWUyNjgwOTEyMg== | 6,238 | Depracation warning on query() | {
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anti_pda.query('label == "hd"')
```
```
home/ipython/envs/ipynb/local/lib/python2.7/site-packages/pandas/computation/ops.py:62: DeprecationWarning: object.__new__() takes no parameters
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6240/events | https://github.com/pandas-dev/pandas/issues/6240 | 26,821,919 | MDU6SXNzdWUyNjgyMTkxOQ== | 6,240 | BUG: duplicate columns and drop buggy | {
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In [21]: df = DataFrame({'A' : np.random.randn(5),
'B' : np.random.randn(5),'C' : np.random.randn(5),
'D':['a','b','c','d','e'] })
In [22]: df
Out[22]:
A B C D
0 -0.941264 0.272726 -0.547948 a
1 0.069432 1.398414 0.039093 b
2 -0.073638 -1.264676 -1.339994 c
3 1.520017 -0.562... | {
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```
ERROR: Failure: ImportError (dynamic module does not define init function (PyInit_json))
----------------------------------------------------------------------
Traceback (most recent call last):
File "X:\Python34\lib\site-packages\nose\failure.py", line 39, in runTest
ra... | {
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What currently does not work is ordering:
```
mons = c("March","Ap... | {
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"gists_u... | null | 8 | 2014-02-03T21:08:43Z | 2014-06-14T10:19:39Z | 2014-02-04T14:31:19Z | CONTRIBUTOR | null | Python 3.4 created a "NameConstant AST class to represent None, True, and False literals" (http://docs.python.org/3.4/whatsnew/changelog.html).
Pandas-0.13.1.win-amd64-py3.4 fails a few tests with `AttributeError: '...ExprVisitor' object has no attribute 'visit_NameConstant'`.
The suggested change fixes those test er... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6245 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6245/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6245/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6245/events | https://github.com/pandas-dev/pandas/issues/6245 | 26,844,690 | MDU6SXNzdWUyNjg0NDY5MA== | 6,245 | ENH: write Table meta-data (non_index_axes) as a CArray (rather than as meta-data) | {
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"f... | 13 | 2014-02-03T22:48:32Z | 2019-10-21T19:34:16Z | null | NONE | null | @jreback
I get this very strange error when writing very wide HDF5 tables. In this case a random float32 array with 1500 columns cant be written as an HDF5 table. However if rename the columns it seems to write fine...
Not sure whats going on.
-Gagi
``` python
In [1]: %paste
import numpy as np
import pandas as p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6246 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6246/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6246/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6246/events | https://github.com/pandas-dev/pandas/issues/6246 | 26,856,428 | MDU6SXNzdWUyNjg1NjQyOA== | 6,246 | frame _apply_standard error when operating on 0 or NaN values | {
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```
In [1]: import pandas as pd
In [4]: dataFrame = pd.read_csv('./test.csv')
In [7]: dataFrame
Out[7]:
r1 r2 r3 r4 r5
0 NaN 3.5 NaN NaN 5
1 4.5 NaN 4 NaN NaN
2 1.5 NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN
4 NaN NaN NaN NaN NaN
5 4.5 NaN... | {
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```
======================================================================
ERROR: test_select_dtypes (pandas.io.tests.test_pytables.TestHDFStore)
----------------------------------------------------------------------
Traceback (most recent call last):
File... | {
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On the one hand PEP8 storms break PRs and git blame, OTOH
the back and forth on code review about whitespace fixes drives some
maintainers (me) crazy.
But:
- Autopep8 accepts a line-range argument which tells it to only fix problems in a given area.
- git di... | {
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... | 50 | 2014-02-04T11:32:45Z | 2018-07-06T22:15:03Z | 2018-07-06T22:15:02Z | CONTRIBUTOR | null | after #6134 we can drop xs and implement directly. Thus we should deprecate it.
`.xs(key, level=n)`
is roughly equivalent to this
```
indexer = tuple([slice(None)]*(n-1) + key)]
axis_indexer = [ slice(None) ] * self.ndim
axis_indexer[axis] = indexer
self.loc[tuple(axis_indexer)]
```
roughly because needs to handle... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6250/events | https://github.com/pandas-dev/pandas/pull/6250 | 26,875,506 | MDExOlB1bGxSZXF1ZXN0MTIxNzM0Njg= | 6,250 | fix ipython directive, py3 and recent ipython changes | {
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Also worked around recent breaking change to ipython https://github.com/ipython/ipython/pull/4504,
which somewhat deflates my theory that by having our own copy we can avoid having
other packages changes break our build (they... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6251/events | https://github.com/pandas-dev/pandas/issues/6251 | 26,880,355 | MDU6SXNzdWUyNjg4MDM1NQ== | 6,251 | Improve testing coverage | {
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... | 10 | 2014-02-04T13:11:54Z | 2018-07-06T22:13:38Z | 2018-07-06T22:13:37Z | NONE | null | Pandas coverage is currently at 78%, not bad but could be better.
Open issue for first-time contributors: find some ill-tested corner
and bring it into the light.
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https://api.github.com/repos/pandas-dev/pandas/issues/6252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6252/events | https://github.com/pandas-dev/pandas/issues/6252 | 26,880,775 | MDU6SXNzdWUyNjg4MDc3NQ== | 6,252 | BUG: loc indexing when starting with an empty frame | {
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empty indexing the frame
```
keys1 = ['@' + str(i) for i in range(1000)]
val1 = arange(1000)
keys2 = ['@' + str(i) for i in range(990)]
val2 = arange(990)
allKeys = list(set(keys1).union(keys2))
df = pandas.DataFrame(index = allKeys)
df['A'] = nan
d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6253/events | https://github.com/pandas-dev/pandas/issues/6253 | 26,891,081 | MDU6SXNzdWUyNjg5MTA4MQ== | 6,253 | bug on DatatimeBlock._try_coerce_args() with pandas0.13.0 | {
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> > T1 = pd.to_datetime(pd.Series([ np.nan, datetime(2012,1,1) ]))
> > T2 = pd.to_datetime(pd.Series([ datetime(2013,1,1), datetime(2012,1,1) ])
> > T1.where(~T1.isnull(), other=T2)
---
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6254 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6254/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6254/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6254/events | https://github.com/pandas-dev/pandas/issues/6254 | 26,902,167 | MDU6SXNzdWUyNjkwMjE2Nw== | 6,254 | assigning using df.loc and unsorted labels doesn't put values in the right places | {
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"labels_url": "htt... | 7 | 2014-02-04T18:02:19Z | 2014-02-12T12:59:46Z | 2014-02-04T19:54:21Z | NONE | null | Using 0.13.1 (gohlke binaries, Win64, using numpy 1.8):
When using .loc, when passing unsorted labels, pandas doesn't assign the values in the designed labels' locations. Example:
`df = pandas.DataFrame(index=[3, 5, 4], columns=['A'])`
`df.loc[[4, 3, 5], 'A'] = [1, 2, 3]`
Result is:
```
Out[30]:
A
3 1
5 2
4 3
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6255/events | https://github.com/pandas-dev/pandas/pull/6255 | 26,903,999 | MDExOlB1bGxSZXF1ZXN0MTIxODk4NTI= | 6,255 | Update indexing.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6256/events | https://github.com/pandas-dev/pandas/pull/6256 | 26,909,043 | MDExOlB1bGxSZXF1ZXN0MTIxOTI3ODI= | 6,256 | BUG: Indexing bugs with reordered indexes (GH6252, GH6254) | {
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closes #6254
```
In [1]: df = DataFrame(index=[3, 5, 4], columns=['A'])
In [2]: df.loc[[4, 3, 5], 'A'] = [1, 2, 3]
In [3]: df
Out[3]:
A
3 2
5 3
4 1
[3 rows x 1 columns]
```
```
In [4]: keys1 = ['@' + str(i) for i in range(5)]
In [5]: val1 = np.arange(5)
In [6]: keys2 = ['@' + str(i) for i in... | {
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... | 5 | 2014-02-04T21:19:25Z | 2017-12-13T01:59:36Z | 2017-12-13T01:59:36Z | CONTRIBUTOR | null | Currently there is no documentation (other than the signature) for `pandas.core.groupby.GroupBy.transform`.
For example passing the string `"shift"` works and shifts the results.
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"labels_url": "htt... | 7 | 2014-02-04T21:37:56Z | 2014-02-05T02:08:12Z | 2014-02-05T02:08:12Z | CONTRIBUTOR | null | This works:
```
In [141]:
dates = pd.to_datetime(['2013-09-03', '2013-09-04', '2013-09-05'])
pd.concat({'A':pd.Series([1,3,4], index=dates), 'B':pd.Series([1,3,4], index=dates)}).to_frame().xs(key='2013-09-03', level=1)
0
A 1
B 1
[2 rows x 1 columns]
```
but this does not:
```
In [142]:
dates = pd.to_dateti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6259/events | https://github.com/pandas-dev/pandas/pull/6259 | 26,923,920 | MDExOlB1bGxSZXF1ZXN0MTIyMDE2MDI= | 6,259 | BUG: bug in xs for a Series with a multiindex (GH6258) | {
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"labels_url": "htt... | 4 | 2014-02-04T23:03:45Z | 2014-06-16T02:27:27Z | 2014-02-05T02:08:12Z | CONTRIBUTOR | null | closes #6258
closes #5684
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https://api.github.com/repos/pandas-dev/pandas/issues/6260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6260/events | https://github.com/pandas-dev/pandas/issues/6260 | 26,932,433 | MDU6SXNzdWUyNjkzMjQzMw== | 6,260 | BUG: misplaced index_label with DF.to_excel() | {
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"followers_url": "https://api.github.com/users/jr... | 15 | 2014-02-05T01:50:13Z | 2014-06-21T12:50:41Z | 2014-06-21T12:49:33Z | CONTRIBUTOR | null | When saving an excel file from a DataFrame with the method to_excel, there is a misbehaviour with index_label: it is placed in the 2nd row.
For instance
``` python
>>> df = pd.DataFrame([[1,2,3],[4,5,6]], columns=['a', 'b', 'c'])
>>> df.index.name = 'n'
>>> df
a b c
n
0 1 2 3
1 4 5 6
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https://api.github.com/repos/pandas-dev/pandas/issues/6261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6261/events | https://github.com/pandas-dev/pandas/pull/6261 | 26,932,602 | MDExOlB1bGxSZXF1ZXN0MTIyMDY4MDk= | 6,261 | CLN: More work on converting assert_'s to specialized forms | {
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"labels_url": "htt... | 2 | 2014-02-05T01:54:36Z | 2014-06-19T04:52:19Z | 2014-02-05T12:16:52Z | CONTRIBUTOR | null | Work on #6175 to specialize assert_'s. Tests still pass locally. A work-in-progress.
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https://api.github.com/repos/pandas-dev/pandas/issues/6262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6262/events | https://github.com/pandas-dev/pandas/pull/6262 | 26,936,316 | MDExOlB1bGxSZXF1ZXN0MTIyMDg4OTA= | 6,262 | CLN: Work on converting assert_'s to specialized forms, in pandas/tests | {
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Replacements:
- assert_(x == y) ==> assertEqual(x, y)
- assert_(x == True) ==> assertTrue(x)
- assert_(x == False) ==> assertFalse(x)
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https://api.github.com/repos/pandas-dev/pandas/issues/6263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6263/events | https://github.com/pandas-dev/pandas/issues/6263 | 26,938,743 | MDU6SXNzdWUyNjkzODc0Mw== | 6,263 | ValueError on groupby boxplot | {
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... | closed | false | null | [] | null | 5 | 2014-02-05T05:30:12Z | 2014-03-22T21:32:16Z | 2014-03-22T21:31:56Z | NONE | null | I have a pretty simple data frame of two columns, containing dates and velocities
```
velocity date
0 83.9 2007-08-04
1 89.6 2007-08-04
2 88.2 2007-08-04
3 88.9 2007-08-04
4 89.4 2007-08-04
```
Yet, when I try to make a box plot of velocities grouped by date, I get a ValueError:
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https://api.github.com/repos/pandas-dev/pandas/issues/6264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6264/events | https://github.com/pandas-dev/pandas/issues/6264 | 26,939,544 | MDU6SXNzdWUyNjkzOTU0NA== | 6,264 | com.is_integer is slow | {
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```
In [62]: %timeit com.is_integer(13)
1000000 loops, best of 3: 965 ns per loop
In [63]: %timeit com.is_integer(np.int32(2))
100000 loops, best of 3: 2.56 µs per loop
In [64]: %timeit com.is_integer(np.int64(2))
1000000 loops, best of 3: 1.27 µs per loop
In [65]: %timeit com.is_integer(14L)
1000000 loops... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6265/events | https://github.com/pandas-dev/pandas/issues/6265 | 26,951,443 | MDU6SXNzdWUyNjk1MTQ0Mw== | 6,265 | Missing Series name when using count() on groupby object | {
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"labels_url": "htt... | 3 | 2014-02-05T10:58:34Z | 2014-03-05T21:58:54Z | 2014-03-05T21:58:54Z | NONE | null | Consider this very basic group by operation:
``` python
df = pd.DataFrame({'col1': ['a', 'b', 'a', 'c'], 'col2': [1, 3, 2, 5]})
df_grp = df.groupby('col1')['col2']
```
When aggregating using `mean`, `min`, ... (everything but `count`) the resulting Series has `col2` as its name:
``` python
df_grp.mean()
col1
a ... | {
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PERF: micro optimzations in inference
API/CLN: core.internals.apply now only takes kwargs; makes code a bit simpler
CLN: wrap core/common/isnull into more direct Block.isnull
PERF: fast path series block operations
closes #6264
original timings
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closes #5861
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https://api.github.com/repos/pandas-dev/pandas/issues/6269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6269/events | https://github.com/pandas-dev/pandas/pull/6269 | 26,960,276 | MDExOlB1bGxSZXF1ZXN0MTIyMjE4Mjk= | 6,269 | PERF: micro optimizations | {
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PERF: micro optimzations in inference
API/CLN: core.internals.apply now only takes kwargs; makes code a bit simpler
CLN: wrap core/common/isnull into more direct Block.isnull
PERF: fast path series block operations
closes #6264
original timings
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6270/events | https://github.com/pandas-dev/pandas/issues/6270 | 26,961,262 | MDU6SXNzdWUyNjk2MTI2Mg== | 6,270 | ubuntu 12.04 python3.2 test_cummethods_bool: AssertionError: (very low values) expected 1.00000 but got 0.00000 | {
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```
======================================================================
FAIL: test_cummethods_bool (pandas.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/buildd/pandas-0.13.1/debian/tmp/usr/lib/pytho... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6271/events | https://github.com/pandas-dev/pandas/issues/6271 | 26,966,618 | MDU6SXNzdWUyNjk2NjYxOA== | 6,271 | pandas version 0.13.0 does not give warning when summing float with object | {
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I have just installed pandas 0.13.0 and was observing some strange results produced by old codes.
One major issue is that I found that when summing two columns of a DataFrame, one of which is a float64 and the other an object, the result includes just the float64 columns.
This would be not an issue per ... | {
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```
yearID Krate teamID
37197 2006 0.115385 COL
37890 2007 0.235294 COL
38621 2008 0.242595 COL
39320 2009 0.264352 COL
40028 2010 0.279373 COL
40738 2011 0.276347 COL
40739 2011 ... | {
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```
df = pd.DataFrame(np.random.rand(5,3))
df['date'] = ['1-1-1990', '2-1-1990', '3-1-1990', '4-1-1990', '5-1-1990']
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"id": ... | closed | false | null | [] | null | 1 | 2014-02-05T17:32:52Z | 2014-02-05T18:31:59Z | 2014-02-05T18:31:59Z | CONTRIBUTOR | null | Somewhat related to #6273 . I'm fairly certain though not positive that this also used to work on 0.12.x.
```
df = pd.DataFrame(np.random.rand(5,3))
df['date'] = ['1-1-1990', '2-1-1990', '3-1-1990', '4-1-1990', '5-1-1990']
pd.infer_freq(df['date'])
```
Raises Series has no attribute `is_monotonic`. I guess `infer_fre... | {
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closes #6274
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anytime try to install 2.3 this fails because it can't find numpy....weird?
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Python: 2.7.6.final.0
OS: Darwin
Release: 13.0.0
Processor: i386
byteorder: little
LC_ALL: None
LANG: None
pandas: 0.13.0
Cython: 0.19.2
Numpy: 1.8.0
Scipy: 0.13.2
statsmodels: 0.5.0
patsy: 0.2.0
scikits.timeseries: 0.91.3
dateutil: 2.2
pytz: 2013.8
bottleneck: 0.7.0
PyTables: 2.4.0
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https://api.github.com/repos/pandas-dev/pandas/issues/6278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6278/events | https://github.com/pandas-dev/pandas/pull/6278 | 27,000,763 | MDExOlB1bGxSZXF1ZXN0MTIyNDE1NDY= | 6,278 | DOC: fix link to str.get_dummies | {
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... | 12 | 2014-02-06T04:57:30Z | 2020-06-22T15:30:55Z | 2020-06-22T15:30:55Z | CONTRIBUTOR | null | At least wherever possible.
``` python
In [2]: df = pd.DataFrame(np.random.randn(30, 2), columns=['A', 'B'])
In [3]: df['C'] = 15 * ['a'] + 15 * ['b']
In [4]: ax = df.groupby('C')['A'].hist()
```
Ideally the grou... | {
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"labels_url": "htt... | 1 | 2014-02-06T05:45:22Z | 2014-02-06T11:08:21Z | 2014-02-06T11:07:58Z | CONTRIBUTOR | null | Travis got the following on Python 2.7 `NOSE_ARGS="slow and not network" LOCALE_OVERRIDE="zh_CN.GB18030" FULL_DEPS=true JOB_TAG=_LOCALE JOB_NAME=27_slow_nnet_LOCALE`:
```
======================================================================
FAIL: test_partially_invalid_plot_data (pandas.tests.test_graphics.TestDataFr... | {
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"labels_url": "htt... | 13 | 2014-02-06T08:35:41Z | 2014-02-06T21:41:11Z | 2014-02-06T21:41:11Z | NONE | null | Hello, I recently stumbled across this:
``` python
df1 = pd.DataFrame({'a':[1.,2.,3.,4.,nan,6,7,8]}, dtype='<f4')
df1.a.interpolate(inplace=True, downcast=None)
---------------------------------------------------------------------------
UnboundLocalError Traceback (most recent call last)
<ipy... | {
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from pandas.compat import zip, range
causes "ImportError: cannot import name zip"
zip is not contained in compat.
Best regards
Marc
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"labels_url": "htt... | 1 | 2014-02-06T13:03:12Z | 2014-02-14T01:14:02Z | 2014-02-14T01:14:02Z | CONTRIBUTOR | null | @y-p looks like 3.3 windows build does not install numexpr/tables....can you have these tested on 3.3 and 2.7 (or similar to travis)
except leave at least 1 build w/o a num expr at all if you can
thanks
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I didn't have the non inplace return in an else block. And I clearly didn't test this :/
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https://api.github.com/repos/pandas-dev/pandas/issues/6286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6286/events | https://github.com/pandas-dev/pandas/issues/6286 | 27,055,757 | MDU6SXNzdWUyNzA1NTc1Nw== | 6,286 | BUG: Can't assign values via .ix or .loc to a Panel with MultiIndex | {
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"followers_url": "https://api.github.com/users/jorisva... | 9 | 2014-02-06T15:09:29Z | 2018-07-06T20:21:03Z | 2017-07-10T21:09:59Z | CONTRIBUTOR | null | If you have a Panel with a MultiIndex, you can read but not write to it with `.ix` (same with `.loc`).
Before 0.13 I would normally do something like `pn[item].ix[a, b][stuff] = values`, surprisingly it used to work (now it spits out a `SettingWithCopyWarning` but still kinda works).
So what are the valid options in ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6287 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6287/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6287/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6287/events | https://github.com/pandas-dev/pandas/issues/6287 | 27,074,280 | MDU6SXNzdWUyNzA3NDI4MA== | 6,287 | idxmax and idxmin do not work with strings | {
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```
In [8]: pandas.DataFrame({'A':["A","B","C", "A"], 'B':list("ABCD")}).groupby("A").B.idxmax()
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-8-6aa5f42cc358> in <module>()
----> 1 p... | {
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"labels_url": "htt... | 5 | 2014-02-06T19:10:53Z | 2014-02-15T19:43:51Z | 2014-02-15T19:42:56Z | CONTRIBUTOR | null | Hi,
TomAugspurger suggested me on [StackOverFlow](https://stackoverflow.com/questions/21584434/group-by-value-of-sum-of-columns-with-pandas) to suggest this example of `df.groupby()` here for being considered as relevant to add to the docs. The idea was to determine a way to regroup columns of a DataFrame according to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6289 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6289/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6289/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6289/events | https://github.com/pandas-dev/pandas/pull/6289 | 27,077,199 | MDExOlB1bGxSZXF1ZXN0MTIyODI5NjI= | 6,289 | ENH: All args and kwargs to generic expanding/rolling apply. | {
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"labels_url": "htt... | 7 | 2014-02-06T19:40:15Z | 2014-06-21T08:12:07Z | 2014-02-07T01:16:39Z | CONTRIBUTOR | null | Been bugging me lately. Simple enough fix I think. Example usage
```
def mean(x, const):
return np.mean(x) + const
df = pd.DataFrame(np.random.rand(20, 3))
pd.expanding_apply(df, mean, args=(20,)
pd.expanding_apply(df, mean, kwargs=dict(const=20))
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6290 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6290/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6290/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6290/events | https://github.com/pandas-dev/pandas/issues/6290 | 27,086,839 | MDU6SXNzdWUyNzA4NjgzOQ== | 6,290 | BUG: Interpolate should be more careful with dtypes | {
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"labels_url": "htt... | 5 | 2014-02-06T21:40:30Z | 2014-02-17T17:35:57Z | 2014-02-17T17:35:57Z | CONTRIBUTOR | null | Originally reported as a comment in #6281 Reposting the example from there:
If you start out with a DataFrame like
``` python
In [14]: df = DataFrame({'A': [1, 2, np.nan, 4, 5, np.nan, 7],
....: 'C': [1, 2, 3, 5, 8, 13, 21]})
In [15]: df.dtypes
Out[15]:
A float64
C int64
dtype: object
```... | {
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@jreback is there a good way to update **part** of a BlockManager inplace? I have a new BlockManager from `interpolate` and the original BlockManager (or DataFrame) which contains some "all good" columns that didn't get interpolate on, and some bad columns that did g... | {
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"labels_url": "htt... | 9 | 2014-02-06T22:29:18Z | 2014-07-15T20:34:33Z | 2014-05-17T00:04:45Z | MEMBER | null | #5950 is now merged! (Thanks to @mangecoeur)
But there were still some issue to flesh out/fix:
- [x] release notes / 0.14.0 whatsnew (Here is the section in whatsnew for when you are ready): http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0140-sql -> #7120
- [ ] figure out user API (#6300) and u... | {
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This link does not work anymore, as it appears now the dev docs are hosted on http://pandas-docs.github.io/pandas-docs-travis/
@y-p Would it be poss... | {
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] | closed | false | null | [] | null | 2 | 2014-02-07T11:17:11Z | 2014-05-05T13:27:25Z | 2014-05-05T13:27:25Z | CONTRIBUTOR | null | Installing from source requires distribute (0.6). In 2013, setuptools and distribute were merged into setuptools 2.1+ : http://pythonhosted.org/setuptools/merge.html
Attemping to install with setuptools 2.1 results in error "global name pkg_resources not found"
Pandas should be installable with setuptools 2.1+
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"closed_at": "2015-05-11T15:46:03Z",
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"followers_url": "https://api.github.com/users/jr... | 13 | 2014-02-07T16:21:46Z | 2015-05-09T21:51:59Z | 2015-05-09T21:51:59Z | CONTRIBUTOR | null | I haven't looked at the source yet, but do columns ever get pretty printed? It looks like indices do if it's a DatetimeIndex, but not otherwise.
I often find myself doing
```
df.columns.tolist()
```
otherwise it's not really readable.
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"labels_url": "htt... | 4 | 2014-02-07T19:20:21Z | 2014-02-25T09:00:57Z | 2014-02-08T15:53:33Z | CONTRIBUTOR | null | IMO this should work
```
x = pd.DataFrame(np.random.rand(5,3))
x.iloc[:6]
```
Consider
```
np.arange(5)[:7]
```
And
```
range(5)[:7]
```
I'm on
```
[~/]
[14]: pd.version.version
[14]: '0.13.1-63-gcc6ee40'
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6297/events | https://github.com/pandas-dev/pandas/issues/6297 | 27,173,094 | MDU6SXNzdWUyNzE3MzA5NA== | 6,297 | rolling_max on a TimeSeries with freq='D' returns incorrect results | {
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"labels_url": "htt... | 2 | 2014-02-07T21:18:04Z | 2014-04-22T13:09:37Z | 2014-04-22T13:09:37Z | NONE | null | rolling_max on a TimeSeries with freq='D' appears to actually compute the rolling mean, and not the rolling max.
``` python
In [118]: import pandas
In [119]: indices = [datetime.datetime(1975, 1, i, 12, 0) for i in range(1, 6)]
In [120]: indices.append(datetime.datetime(1975, 1, 3, 6, 0)) # So that we can have 2 da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6298/events | https://github.com/pandas-dev/pandas/pull/6298 | 27,175,327 | MDExOlB1bGxSZXF1ZXN0MTIzMzA2OTE= | 6,298 | DOC: clean-up docstrings of sql + fix doc build | {
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And the second commit should fix the doc builds (see http://pandas-docs.github.io/pandas-docs-travis/io.html#io-sql)
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https://api.github.com/repos/pandas-dev/pandas/issues/6299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6299/events | https://github.com/pandas-dev/pandas/pull/6299 | 27,177,883 | MDExOlB1bGxSZXF1ZXN0MTIzMzE3MDI= | 6,299 | API: allow the iloc indexer to run off the end and not raise IndexError (GH6296) | {
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"labels_url": "htt... | 7 | 2014-02-07T22:02:01Z | 2014-06-16T19:22:59Z | 2014-02-08T15:53:33Z | CONTRIBUTOR | null | closes #6296
Here's the behavior
I left it raising an `IndexError` if a single indexer is given that is out-of-bounds (consistent with the way `ix/loc` would work)
```
In [1]: df = DataFrame(np.random.randn(5,2),columns=list('AB'))
In [2]: df
Out[2]:
A B
0 1.105982 0.309531
1 -0.619102 -0.002967... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6300/events | https://github.com/pandas-dev/pandas/issues/6300 | 27,180,503 | MDU6SXNzdWUyNzE4MDUwMw== | 6,300 | API: user api for new sql functionality | {
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"followers_url": "https://api.github.com/users/jr... | 47 | 2014-02-07T22:44:41Z | 2014-08-08T09:20:26Z | 2014-08-08T09:20:04Z | MEMBER | null | Starting a new issue to discuss this. See merged PR #5950 and follow-up issue #6292.
Summary of situation:
**Current (0.13)**:
- top-level `read_sql`, `read_frame`, `write_frame` and `DataFrame.to_sql`
- in sql module: `uquery`, `tquery`, `has_table` (+ `read_sql`)
**New after #5950**
- top-level `read_sql` and `Dat... | {
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