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https://api.github.com/repos/pandas-dev/pandas/issues/3101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3101/events | https://github.com/pandas-dev/pandas/pull/3101 | 12,208,965 | MDExOlB1bGxSZXF1ZXN0NDcwNjU4NA== | 3,101 | API experiment: lambda grouper based on sliding window | {
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way of splitting frames into multiple frames based on
predicate functions.
Not optimized, just trying it out.
- The number of args in the predicate function determines the width
of the sliding window
- The df.groupby() `offset` kwd determines window offset
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#2786
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https://api.github.com/repos/pandas-dev/pandas/issues/3103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3103/events | https://github.com/pandas-dev/pandas/pull/3103 | 12,225,019 | MDExOlB1bGxSZXF1ZXN0NDcxMzkzMw== | 3,103 | TST: added ensure_clean file cleanup context manager for file based test | {
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passes thru exceptions
idiom is:
```
with ensure_clean(path=None) as path:
.....
```
rather than
```
try:
....
finally:
os.remove(path)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3104/events | https://github.com/pandas-dev/pandas/issues/3104 | 12,234,938 | MDU6SXNzdWUxMjIzNDkzOA== | 3,104 | DOC: consolidate docs for console formatting / options sections | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2013-03-20T16:15:04Z | 2014-07-07T07:08:31Z | 2014-07-07T07:08:31Z | CONTRIBUTOR | null | there are doc references in basics.rst and dsinstro.rst (called console display)
for dealing with `set_option`
eliminate the section in dsintro.rst and expand/consolidate into basics.rst
(where it is now)
IPython completion docs are also in 2 places, dsintro.rst and indexing.rst
combine/consolidate? (to basics?)
also... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3105/events | https://github.com/pandas-dev/pandas/issues/3105 | 12,235,564 | MDU6SXNzdWUxMjIzNTU2NA== | 3,105 | DataFrame constructor error unhelpful | {
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pd.DataFrame(np.arange(12).reshape((4, 3)), columns=['foo', 'bar', 'baz'],
index=pd.date_range('2000-01-01', periods=3))
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-80-77df75afb13d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3106/events | https://github.com/pandas-dev/pandas/issues/3106 | 12,239,972 | MDU6SXNzdWUxMjIzOTk3Mg== | 3,106 | BUG: Multiple timedetal64[ns] operations causes changes in dtypes | {
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```
In [34]: df = pd.DataFrame({ 'time' : pd.date_range('20130102',periods=5),
'time2' : pd.date_range('20130105',periods=5) })
In [35]: df['off1'] = df['time2']-df['time']
In [36]: df.dtypes
Out[36]:
time datetime64[ns]
time2 datetime64[ns]
off1 timedelta64... | {
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closes #3106
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not that this is user friendly, but
```
pd.DataFrame._AXIS_ALIASES['myaxis'1] = 0
pd.DataFrame._AXIS_ALIASES['myaxis2'] = 1
df.sum(axis='myaxis1')
```
should work but doesn't
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https://api.github.com/repos/pandas-dev/pandas/issues/3110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3110/events | https://github.com/pandas-dev/pandas/pull/3110 | 12,253,792 | MDExOlB1bGxSZXF1ZXN0NDcyOTQ1Mg== | 3,110 | BUG: GH3109 fixed issues where passing an axis of 'columns' would fail | {
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`df.sum(axis='columns')` will now work
_note: narrowed the scope of this PR to just a bug fix_
```
In [3]: df = pd.DataFrame(np.random.rand(5,2),columns=['A','B'])
In [4]: df.sum(axis=1)
Out[4]:
0 1.1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3111/events | https://github.com/pandas-dev/pandas/issues/3111 | 12,256,148 | MDU6SXNzdWUxMjI1NjE0OA== | 3,111 | Panel.to_frame handles np.nans incorrectly. | {
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``` python
df1 = pd.DataFrame({'hi':[0, None, 1]})
df2 = pd.DataFrame({'hi':[None, 0, 2]})
small = pd.Panel({'df1':df1, 'df2':... | {
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#3075
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https://api.github.com/repos/pandas-dev/pandas/issues/3113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3113/events | https://github.com/pandas-dev/pandas/issues/3113 | 12,269,988 | MDU6SXNzdWUxMjI2OTk4OA== | 3,113 | Possible test_plotting regression in 0.11 | {
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maybe something is screwy about my system. passes on 10.1.
check it out before releasing 0.11, fix travis if needs be.
``` python
nosetests ./pandas/tseries/tests/test_plotting.py
.....................EE..EEEEE........EE...........E.
=========... | {
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"followers_url": "https://api.github.com/users/jorisva... | 31 | 2013-03-21T11:35:50Z | 2018-07-06T22:57:17Z | 2018-07-06T22:57:06Z | CONTRIBUTOR | null | to allow easy testing of c-contig/f-contig and long frames etc
see #3089
http://mail.python.org/pipermail/pandas-dev/2013-March/000008.html
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cumbersome currently.
Also think of a way to make modification less likely to create merge conflicts.
The current last line in the bugfix section sees more contention then any other line
in the codebase.
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https://api.github.com/repos/pandas-dev/pandas/issues/3120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3120/events | https://github.com/pandas-dev/pandas/pull/3120 | 12,272,327 | MDExOlB1bGxSZXF1ZXN0NDczODQ3MQ== | 3,120 | TST: less likelihood of random failing tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3121 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3121/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3121/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3121/events | https://github.com/pandas-dev/pandas/issues/3121 | 12,276,960 | MDU6SXNzdWUxMjI3Njk2MA== | 3,121 | appending empty dataframe with columns fails | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-03-21T14:29:40Z | 2013-08-06T15:11:39Z | 2013-08-06T15:11:39Z | NONE | null | I am trying to append an empty dataframe to another empty one. This fails if at least one of them has a column defined. Below is the code snippet to generate the error.
```
import numpy as np
import pandas as pd
pd.__version__
#'0.10.1'
np.__version__
#'1.7.0'
a = pd.DataFrame()
b = pd.DataFrame()
a.append(b) # works... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3122/events | https://github.com/pandas-dev/pandas/issues/3122 | 12,277,107 | MDU6SXNzdWUxMjI3NzEwNw== | 3,122 | ExcelWriter fails with columns with int32 dtype | {
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``` python
In [21]: df = pandas.DataFrame({"foo": [1,2,3]})
In [22]: df["foo"] = df["foo"].astype("int32")
In [23]: df.to_excel("foo.xls")
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
<ipython-input-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3124 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3124/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3124/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3124/events | https://github.com/pandas-dev/pandas/pull/3124 | 12,280,590 | MDExOlB1bGxSZXF1ZXN0NDc0MjQ0Mw== | 3,124 | BUG: GH2817 raise the correct KeyError that the multi-index is not sorted | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3125/events | https://github.com/pandas-dev/pandas/pull/3125 | 12,282,741 | MDExOlB1bGxSZXF1ZXN0NDc0MzUzMQ== | 3,125 | BUG: GH2903 implemented xs for axis=1 with a level specified | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3126 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3126/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3126/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3126/events | https://github.com/pandas-dev/pandas/pull/3126 | 12,286,612 | MDExOlB1bGxSZXF1ZXN0NDc0NTYzMg== | 3,126 | BUG: HDFStore bug when appending to a table, .typ not recreated on subsequent appends | {
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http://stackoverflow.com/questions/15488809/how-to-trouble-shoot-hdfstore-exception-cannot-find-the-correct-atom-type?noredirect=1#comment22032050_15488809
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https://api.github.com/repos/pandas-dev/pandas/issues/3127 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3127/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3127/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3127/events | https://github.com/pandas-dev/pandas/pull/3127 | 12,287,459 | MDExOlB1bGxSZXF1ZXN0NDc0NjA5NQ== | 3,127 | BUG: GH2719, fixed reshape on a Series with invalid input | {
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maybe taking a callable, for really just something like `sample=10`
to return you every 10th row
if it takes a callbale couuld use something like: `lambda x: x % 10`
easy way to get a `sample` of the csv file
useful to avoid specifying `skiprows` with a big list
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closes #2787
closes #3070
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``` python
df.groupby('key1')['data1']
df.groupby('key1')[['data2']]
```
are syntactic sugar for:
``` python
df['data1'].groupby(df['key1'])
df[['data2']].groupby(df['key1'])
```
I find that the first form works but the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3138 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3138/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3138/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3138/events | https://github.com/pandas-dev/pandas/pull/3138 | 12,325,976 | MDExOlB1bGxSZXF1ZXN0NDc2NTkyMg== | 3,138 | BUG: GH3042 Timestamp now supports classmethod fromordinal similar to datetimes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3139/events | https://github.com/pandas-dev/pandas/pull/3139 | 12,330,822 | MDExOlB1bGxSZXF1ZXN0NDc2ODUxMA== | 3,139 | BUG: GH2745 Fix issue with indexing a series with a boolean key a 1-len list on rhs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3140/events | https://github.com/pandas-dev/pandas/pull/3140 | 12,333,550 | MDExOlB1bGxSZXF1ZXN0NDc2OTk4Ng== | 3,140 | DOC: cross reference cookbook and docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3142/events | https://github.com/pandas-dev/pandas/pull/3142 | 12,342,494 | MDExOlB1bGxSZXF1ZXN0NDc3MzkyOQ== | 3,142 | TST: test for GH2623, object in frame upconverting a datetime64[ns] in another column | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3143/events | https://github.com/pandas-dev/pandas/issues/3143 | 12,350,528 | MDU6SXNzdWUxMjM1MDUyOA== | 3,143 | BLD: Nosetests failures on 32-bit (test_first_last_nth_dtypes, test_iloc_getitem_array) | {
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```
======================================================================
FAIL: test_first_last_nth_dtypes (pandas.tests.test_groupby.TestGroupBy)
---... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3145 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3145/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3145/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3145/events | https://github.com/pandas-dev/pandas/pull/3145 | 12,357,914 | MDExOlB1bGxSZXF1ZXN0NDc3ODQwMw== | 3,145 | PERF: GH2121 groupby transform | {
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Two items were causing slowness
1) using apply for each group (which in this case is equivalent to directly calling
the function on the group). the function that is testing is `fillna` which we have defined as a function of a data frame so its ok here to use the direct function call
I create a slow_path... | {
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It doesn't seem (from my testing) that numpy guarantees 128-bit alignment the start of an array (which is odd, since `malloc` usually does that no matter what, from my testing), and it certainly doesn't 128-bit align each row/column since they're always contiguous.
Apparently it can be done m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3148/events | https://github.com/pandas-dev/pandas/pull/3148 | 12,359,303 | MDExOlB1bGxSZXF1ZXN0NDc3ODgzOQ== | 3,148 | BUG: GH3094, timedelta64 failing on numpy 1.7.0 (on 2.7) | {
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as np.array(timedelta64[ns] series) converts to int64 dtype for some weird reason
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https://api.github.com/repos/pandas-dev/pandas/issues/3149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3149/events | https://github.com/pandas-dev/pandas/issues/3149 | 12,360,689 | MDU6SXNzdWUxMjM2MDY4OQ== | 3,149 | How to make partial sums in pivot tables a little more flexible? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3150/events | https://github.com/pandas-dev/pandas/issues/3150 | 12,361,120 | MDU6SXNzdWUxMjM2MTEyMA== | 3,150 | PERF/TST: higher performance pandas.util.testing.assert_almost_equal | {
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"f... | 12 | 2013-03-23T20:11:18Z | 2013-09-20T18:10:19Z | 2013-09-20T18:10:19Z | CONTRIBUTOR | null | I find that I am sometimes working between python2 and 3 installs and using pickle for passing data is problematic. I am having a look at adding some simple functions like:
pandas.loadnpz
pandas.obj.savenpz (where obj would be DataFrame, Series, Panel etc ...)
Any opinions on this?
Is it already there and I haven't f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3152/events | https://github.com/pandas-dev/pandas/pull/3152 | 12,365,632 | MDExOlB1bGxSZXF1ZXN0NDc4MDAyMQ== | 3,152 | BUG: GH2763 fixed downcasting of groupby results on SeriesGroupBy | {
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e.g. was returning float64 on int64 input when possible to preserve
in first/last
more general cases were fixed in prior PRs (e.g. #3041)
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https://api.github.com/repos/pandas-dev/pandas/issues/3154 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3154/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3154/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3154/events | https://github.com/pandas-dev/pandas/pull/3154 | 12,368,772 | MDExOlB1bGxSZXF1ZXN0NDc4MDc2NA== | 3,154 | ENH: added numexpr support for where operations | {
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effect on most boolean indexing operations themselves
(inital commit would speedup ops like `df>0`)
this PR is in effect speeding up `np.where`
`df[(df>0)&(df2>0)]` (100k x 100 columns)
`no_ne` is no numexpr at all
`st` is single threaded
This o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3155 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3155/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3155/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3155/events | https://github.com/pandas-dev/pandas/issues/3155 | 12,369,793 | MDU6SXNzdWUxMjM2OTc5Mw== | 3,155 | rolling_corr not in [-1,1] when using 'center' flag | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2013-03-24T05:21:07Z | 2013-03-26T11:01:55Z | 2013-03-26T11:01:55Z | CONTRIBUTOR | null | The function `rolling_corr` returns values with absolute value greater than one when using the 'center' flag. The following code will reproduce (with high probability):
```
df = pandas.DataFrame(numpy.random.rand(30,2))
pandas.rolling_corr(df[0],df[1],5,center=True)
```
It seems like passing center to `rolling_count`... | {
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"f... | 14 | 2013-03-24T13:03:56Z | 2014-01-10T12:18:44Z | 2014-01-10T12:18:32Z | NONE | null | Working on pandas for a while now, there's a bunch of tools and tricks
I use, here's a list to help pandas devs slip into the zone:
##### Use ipdb rather then pdb with nose: --ipdb --ipdb-fail
https://github.com/flavioamieiro/nose-ipdb
Because tab-completion is not optional.
##### Re-running only failed tests
`noset... | {
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In [11]: mom.rolling_mean(s,4,min_periods=3)
Out[11]:
0 NaN
1 NaN
2 1
3 1
4 1
5 1
6 1
7 1
8 1
9 1
dtype: float64
#but
In [12]: mom.rolling_mean(s,4,min_periods=4)
Out[12]:
0 NaN
1 NaN
2 NaN
3 1
4 1
5 NaN
6 NaN
7 NaN
8 NaN
9 1
dtype: float64
```
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```
frame_reindex_axis1 3.1934 2.0423 1.5636
frame_reindex_axis0 1.4083 0.4687 3.0049
Target [b42175f] : dummy commit
Base [da54321] : SCR: format tweaks to test_perf
```
with the following:
```
stephen@trantor:~/Projects/pandas$ git diff da54321 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3159/events | https://github.com/pandas-dev/pandas/pull/3159 | 12,380,391 | MDExOlB1bGxSZXF1ZXN0NDc4NDIwMg== | 3,159 | ENH: Pass **kwargs through to matplotlib .scatter() | {
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I didn't make a test because anything that would be tested would be matplotlib specific, but I'd be happy to d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3160/events | https://github.com/pandas-dev/pandas/pull/3160 | 12,380,677 | MDExOlB1bGxSZXF1ZXN0NDc4NDI5OQ== | 3,160 | DOC: Add more detailed description of commit prefixes | {
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However, I looked on the mailing list and did... | {
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Numpy refers to a boolean type as a "numerical type", and both Python
and numpy cast True bools into the value 1 and False bools into the
value 0, so all numpy numerical operations always work.
---
This basically is to solve this issue, which I always found a bit p... | {
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"followers_url": "https://api.github.com/users/wesm/... | 14 | 2013-03-25T01:57:36Z | 2014-01-24T14:35:14Z | 2013-03-25T12:45:52Z | CONTRIBUTOR | null | Hit this after updating to '0.11.0.dev-da54321' from master. Haven't had a chance to dig any deeper, other than isolate frame length as a factor.
```
df = pandas.util.testing.makeTimeDataFrame(25000)
df.to_csv("save.csv") # works
df = pandas.util.testing.makeTimeDataFrame(25001)
df.to_csv("save.csv") # throws excep... | {
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unlike openpyxl, xlrd parse() leaves type inferencing to
TextReader, which looks at the first values only, but this
was already the behaviour for .xls files, so small price to pay.
Removed much code duplication, and xlrd 0.9.0 added py3
support (courtesy of @takluyver, Th... | {
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```
df = pd.DataFrame({'Data1': {0: 'present', 1: 'absent'}, 'Data2': {0: 'absent', 1: 'present'}, 'Location': {0: 'loc1', 1: 'loc2'}, 'Name': {0: 'Foo', 1: 'Foo2'}, 'Position': {0: 12345, 1: 67890}}).set_index(['Name', 'Location',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3168 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3168/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3168/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3168/events | https://github.com/pandas-dev/pandas/pull/3168 | 12,407,406 | MDExOlB1bGxSZXF1ZXN0NDc5Njc1OQ== | 3,168 | Index out of bounds error raised for negative indices. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3169 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3169/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3169/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3169/events | https://github.com/pandas-dev/pandas/issues/3169 | 12,408,432 | MDU6SXNzdWUxMjQwODQzMg== | 3,169 | Drop gives TypeError message for too few arguments when that many are given | {
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_Note: I may be using drop wrong here, but the error message is confusing._
```
import pandas as pd
from StringIO import StringIO
csv = StringIO("""ID,NAME,DATE,VAR1
1,a,03-JAN-2013,69
1,a,04-JAN-2013,77
1,a,05-JAN-2013,75
2,b,03... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3170/events | https://github.com/pandas-dev/pandas/issues/3170 | 12,409,572 | MDU6SXNzdWUxMjQwOTU3Mg== | 3,170 | Stacking with MultiIndex column DataFrame throws an error | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-03-25T17:01:30Z | 2013-03-31T15:07:42Z | 2013-03-31T15:07:42Z | CONTRIBUTOR | null | Stacking this particular MultiIndex column DataFrame throws an error:
```
import pandas as pd
from StringIO import StringIO
csv = StringIO("""ID,NAME,DATE,VAR1
1,a,03-JAN-2013,69
1,a,04-JAN-2013,77
1,a,05-JAN-2013,75
2,b,03-JAN-2013,69
2,b,04-JAN-2013,75
2,b,05-JAN-2013,72""")
df = pd.read_csv(csv, index_col=['DATE'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3171 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3171/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3171/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3171/events | https://github.com/pandas-dev/pandas/issues/3171 | 12,409,690 | MDU6SXNzdWUxMjQwOTY5MA== | 3,171 | API: Can't override type sniffing in df.from_csv()? | {
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"description": "IO issues that don't fit... | closed | false | null | [] | {
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In [10]: ix = [-352.737091, 183.575577]
...: df=pd.DataFrame([0,1],index=ix)
...: df.to_csv("/tmp/1.csv")
...: df2=pd.DataFrame.from_csv("/tmp/1.csv")
...: print df
...: print df2
0
-352.737091 0
183.575577 1
0
2105-11-21 22:43:41.128654 0
1936... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3172 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3172/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3172/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3172/events | https://github.com/pandas-dev/pandas/pull/3172 | 12,410,636 | MDExOlB1bGxSZXF1ZXN0NDc5ODUzMA== | 3,172 | DOC: minor edits in io.rst / cookbook.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3174 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3174/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3174/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3174/events | https://github.com/pandas-dev/pandas/pull/3174 | 12,413,263 | MDExOlB1bGxSZXF1ZXN0NDc5OTg3OA== | 3,174 | DOC release notes add assert_frame_equal checks index and column names | {
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I put it in "API changes" (not sure if that is optimal but I wasn't sure where else it would fit).
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https://api.github.com/repos/pandas-dev/pandas/issues/3175 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3175/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3175/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3175/events | https://github.com/pandas-dev/pandas/pull/3175 | 12,416,371 | MDExOlB1bGxSZXF1ZXN0NDgwMTA3Mg== | 3,175 | BUG: Fix the rename function for Series and DataFrame, #3165 | {
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```
In [1]: import pandas as pd
In [2]: data = [1, 2]
In [3]: index = pd.Index(['a', 'b'], name='name')
In [4]: df = pd.DataFrame(data, index=index)
In [5]: df
Out[5]:
0
name
a 1
b 2
In [6]: df.rename({'a': 'c'})
Out[6]:
0
c ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3180/events | https://github.com/pandas-dev/pandas/pull/3180 | 12,460,289 | MDExOlB1bGxSZXF1ZXN0NDgyMjUxMg== | 3,180 | ENH add time to DatetimeIndex | {
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Thoughts?
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2013-03-26T18:33:04Z | 2013-04-08T07:46:53Z | 2013-04-08T07:46:53Z | CONTRIBUTOR | null | The pandas.io.parsers module raises a generic exception when a file cannot be
found or opened. This is not consistent with other Python modules which
typically raise the more informative (and specific) IOError. This change should
make the exception handling more consistent and more informative.
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https://api.github.com/repos/pandas-dev/pandas/issues/3182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3182/events | https://github.com/pandas-dev/pandas/issues/3182 | 12,471,321 | MDU6SXNzdWUxMjQ3MTMyMQ== | 3,182 | Create sphinx extension to handle github issue/changeset links | {
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Idea comes from [pycon 2013](http://pyvideo.org/video/1703/better-documentation-through-automation-creating) and the [code](https://bitbucket.org/dhellmann/sphinxcontrib-bitbucket) already exists for bitbucket. Maybe a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3183/events | https://github.com/pandas-dev/pandas/pull/3183 | 12,473,999 | MDExOlB1bGxSZXF1ZXN0NDgyOTM3Ng== | 3,183 | WIP,CLN: com.ReprMixin everywhere, cls defines __unicode__ and py2/3 | {
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"description": "Major release (formerly 0.11.1 bugfix but has outgrown its britches)",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 2 | 2013-03-26T22:17:05Z | 2013-12-20T15:58:52Z | 2013-04-23T08:39:13Z | NONE | null | str,bytes,repr work.
reduces code duplication and boilerplate.
still need to replace
```
class Foo(com.ReprMixin,object)
```
by
```
class Foo(PrintableObject)
```
lots of churn, it'll wait till 0.12.
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https://api.github.com/repos/pandas-dev/pandas/issues/3184 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3184/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3184/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3184/events | https://github.com/pandas-dev/pandas/pull/3184 | 12,495,386 | MDExOlB1bGxSZXF1ZXN0NDgzNTE0NA== | 3,184 | BUG: Append the empty frame with columns, #3121 | {
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### Bug
```
In [1]: import pandas as pd
In [2]: df1 = pd.DataFrame(columns=['test'])
In [3]: df2 = pd.DataFrame()
In [4]: df1.append(df2)
ValueError: need at least one array to concatenate
```
### Reason
numpy cannot concatenate nothing:
```
In [10]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3185 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3185/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3185/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3185/events | https://github.com/pandas-dev/pandas/issues/3185 | 12,508,060 | MDU6SXNzdWUxMjUwODA2MA== | 3,185 | PERF/ENH: np.apply_along_axis -> reduce in moments.py/nanops.py | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2013-03-27T11:35:52Z | 2016-09-30T12:35:16Z | 2016-09-29T22:28:56Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/15652343/how-to-speed-up-pandas-rolling-sum
http://stackoverflow.com/questions/21058333/compute-rolling-maximum-drawdown-of-pandas-series
this numpy recipe might be of iterest to create a strided dimension:
https://github.com/numpy/numpy/pull/31
prob easiest in these cases to creat... | {
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near IO-bound in df.to_csv, at about ~10-15x.
It might be possible to speed things up considerably with a fast path
for special cases (numerical only) that don't need fancy quoting and other
bells and whistles provided by the underlying csv python module.
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3187/events | https://github.com/pandas-dev/pandas/issues/3187 | 12,512,637 | MDU6SXNzdWUxMjUxMjYzNw== | 3,187 | [BUG] KDE plot and color kwarg | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2013-03-27T13:53:53Z | 2016-10-12T23:03:39Z | 2013-04-01T06:13:36Z | CONTRIBUTOR | null | Not sure if this is a bug here or not.
```
import pandas as pd
import numpy as np
d = {'noise': np.random.randn(100).cumsum(),
'trend': np.arange(100)}
df = pd.DataFrame(d)
df['resid'] = pd.ols(y=df.noise, x=df.trend).resid
df['resid'].plot(kind='kde', color='k')
```
Will give this traceback:
```
In [14]: Tra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3188 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3188/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3188/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3188/events | https://github.com/pandas-dev/pandas/issues/3188 | 12,513,578 | MDU6SXNzdWUxMjUxMzU3OA== | 3,188 | Grid=True option in plot functions overrides user settings | {
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... | 14 | 2013-03-27T14:16:10Z | 2021-10-25T13:52:42Z | 2021-10-25T13:52:41Z | CONTRIBUTOR | null | The plotting functions on DataFrames always have grid=True. This overrides user settings in matplotlibrc.
If you have to created a desired default plot style with the rc file, you want every plot to show with this style unless otherwise specified.
Because pandas overrides this setting you have to manually set the grid... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3189 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3189/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3189/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3189/events | https://github.com/pandas-dev/pandas/issues/3189 | 12,517,625 | MDU6SXNzdWUxMjUxNzYyNQ== | 3,189 | DataFrame.to_records(index=True) doesn't work with MultiIndex | {
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A simple example test case is shown here:
http://nbviewer.ipython.org/5255161
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https://api.github.com/repos/pandas-dev/pandas/issues/3190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3190/events | https://github.com/pandas-dev/pandas/issues/3190 | 12,517,913 | MDU6SXNzdWUxMjUxNzkxMw== | 3,190 | Provide a template-engine based way of rendering pandas data objects | {
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related #459
- The existing methods are not as flexible as users sometimes wish,
see #167, #2502, https://github.com/pydata/pandas/pull/2919#issuecomment-14067605, #2942, #2924,#3195, #3196,#3264, #3467, #3197,#4578,#4315, [ml1](https://gro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3191 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3191/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3191/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3191/events | https://github.com/pandas-dev/pandas/pull/3191 | 12,519,730 | MDExOlB1bGxSZXF1ZXN0NDg0NDU3Nw== | 3,191 | BUG: GH3168 bug in integer out-of-bounds indexing in Series causing segfault | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3192/events | https://github.com/pandas-dev/pandas/issues/3192 | 12,523,431 | MDU6SXNzdWUxMjUyMzQzMQ== | 3,192 | Issue with CSV parser when using usecols | {
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"description": "IO issues that don't fit... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-03-27T17:30:51Z | 2013-07-30T23:10:05Z | 2013-07-30T23:10:05Z | CONTRIBUTOR | null | The following code:
``` python
import pandas
from io import StringIO
data = u'1,2,3\n4,5,6\n7,8,9'
df = pandas.read_csv(StringIO(data),
dtype={'B': int, 'C':float},
header=None,
names=['A', 'B', 'C'],
converters={'A': str},
)
print(d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3193/events | https://github.com/pandas-dev/pandas/pull/3193 | 12,529,181 | MDExOlB1bGxSZXF1ZXN0NDg0ODg3Mg== | 3,193 | CLN: refactor core/index and tseries/index,period to have their format, to_native_types methods consistent | {
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"followers_url": "https://api.github.com/users/wesm/... | 6 | 2013-03-27T19:06:24Z | 2014-06-26T01:13:10Z | 2013-03-28T20:19:01Z | CONTRIBUTOR | null | - ENH: add support for Period formatting (as a native type), add `equals` comparison method
`__eq__` et al added by others
- TST: add period support to makeCustomDataFrame for testing purposes
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https://api.github.com/repos/pandas-dev/pandas/issues/3194 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3194/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3194/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3194/events | https://github.com/pandas-dev/pandas/issues/3194 | 12,531,277 | MDU6SXNzdWUxMjUzMTI3Nw== | 3,194 | value_counts() is changing dates | {
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``` python
print fl['TurnOnDate'].head()
print 'dtype:'
print fl['TurnOnDate'].dtype
print fl['TurnOnDate'].value_counts().head()
```
Result:
2723 2003-10-01 00:00:00
2841 2011-08-01 00:00:00
2855 2004-12-01 00:00:00
2941 2010-08-01 00:00:00
3019 2005-11-01 00:00:00
Name: TurnOnDate
d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3195/events | https://github.com/pandas-dev/pandas/issues/3195 | 12,536,660 | MDU6SXNzdWUxMjUzNjY2MA== | 3,195 | HTMLFormatter.to_html() does not look at show_index_names | {
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if self.show_index_names and self.has_index_names:
Below for pandas.core.format.py:647:
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https://api.github.com/repos/pandas-dev/pandas/issues/3196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3196/events | https://github.com/pandas-dev/pandas/issues/3196 | 12,549,039 | MDU6SXNzdWUxMjU0OTAzOQ== | 3,196 | Update DataFrame.to_latex() to have more flexibility | {
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"followers_url": "https://api.github.com/users/jorisva... | 8 | 2013-03-28T05:11:08Z | 2020-02-18T12:32:28Z | 2018-07-06T22:49:14Z | CONTRIBUTOR | null | The simple library `matrix2latex` has a lot of functionality packed into a single function. I think capturing some of those features in the current `DataFrame.to_latex()` method would make `to_latex()` much more useful.
The flexibility I am talking about is being able to do these types of things:
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https://api.github.com/repos/pandas-dev/pandas/issues/3197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3197/events | https://github.com/pandas-dev/pandas/issues/3197 | 12,549,083 | MDU6SXNzdWUxMjU0OTA4Mw== | 3,197 | Update DataFrame.to_latex() to have more flexibility | {
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The flexibility I am talking about is being able to do these types of things:
- pass in arbitrar... | {
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The flexibility I am talking about is being able to do these types of things:
- pass in arbitrar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3199/events | https://github.com/pandas-dev/pandas/pull/3199 | 12,551,443 | MDExOlB1bGxSZXF1ZXN0NDg1OTEyMg== | 3,199 | BUG MultiIndex sometimes tupled on apply, 2902 | {
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(broken tests stem from master I branched from, will rebase later to check.)
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https://api.github.com/repos/pandas-dev/pandas/issues/3200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3200/events | https://github.com/pandas-dev/pandas/pull/3200 | 12,553,559 | MDExOlB1bGxSZXF1ZXN0NDg1OTk1Mw== | 3,200 | TST fix broken tests (which were using fancy asserts, broke travis py2.6... | {
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Master is not passing travis.
For py2.6: cleared up assertGreater etc. which don't work in py2.6 :(.
For py3: one test is broken in py3 (not sure how to fix):
```
ERROR: test_period_constructor (pandas.tseries.tests.test_period.TestPeriodProperties)
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