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https://api.github.com/repos/pandas-dev/pandas/issues/4101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4101/events | https://github.com/pandas-dev/pandas/pull/4101 | 16,252,746 | MDExOlB1bGxSZXF1ZXN0NjY3MDI0Ng== | 4,101 | pep8 cleanup | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4104/events | https://github.com/pandas-dev/pandas/pull/4104 | 16,271,663 | MDExOlB1bGxSZXF1ZXN0NjY4MDU0MQ== | 4,104 | ENH: allow layout for grouped DataFrame histograms | {
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closes #4102.
closes #4194.
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https://api.github.com/repos/pandas-dev/pandas/issues/4105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4105/events | https://github.com/pandas-dev/pandas/pull/4105 | 16,272,952 | MDExOlB1bGxSZXF1ZXN0NjY4MTIxNw== | 4,105 | ENH: allow hist to take a string "by" argument | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4106/events | https://github.com/pandas-dev/pandas/pull/4106 | 16,279,033 | MDExOlB1bGxSZXF1ZXN0NjY4NDQ0NA== | 4,106 | ENH: add dropna argument to pivot_table | {
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```
a = np.array(['foo', 'foo', 'foo', 'bar', 'bar', 'foo', 'foo'], dtype=object)
b = np.array(['one', 'one', 'two', 'one', 'two', 'two', 'two'], dtype=object)
c = np.array(['dull', 'dull', 'dull', 'dull', 'dull', 'shiny', 'shiny'], dtype=object)
In [11]: pd.crosstab(a, [b, c], rownames=['a'], colnames=['... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4107/events | https://github.com/pandas-dev/pandas/issues/4107 | 16,292,570 | MDU6SXNzdWUxNjI5MjU3MA== | 4,107 | more descriptive error message when assigning dataframe with different index shape to column | {
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"i... | 2 | 2013-07-02T22:47:36Z | 2013-07-03T00:04:38Z | 2013-07-03T00:04:38Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/17432944/python-pandas-error-when-doing-groupby-counts
The below example doesn't make sense, but perhaps the error message could be clearer...
```
df = pd.DataFrame(np.random.randint(0,2,(4,4)),
columns=['a', 'b', 'c', 'd'])
In [11]: df
Out[11]:
a b c d gr
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https://api.github.com/repos/pandas-dev/pandas/issues/4108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4108/events | https://github.com/pandas-dev/pandas/pull/4108 | 16,294,123 | MDExOlB1bGxSZXF1ZXN0NjY5Mjc2NQ== | 4,108 | ERROR: better error message reporting on inserting incompatible column to frame (GH4107) | {
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"i... | 0 | 2013-07-02T23:31:31Z | 2014-07-16T08:17:18Z | 2013-07-03T00:04:38Z | CONTRIBUTOR | null | closes #4107
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"labels_url": "htt... | 1 | 2013-07-03T02:08:07Z | 2014-03-30T15:14:50Z | 2014-03-30T15:14:50Z | NONE | null | prob related to #4069
import pandas as pd
from pandas.tseries.offsets import *
help(BQuarterEnd)
Help on class BQuarterEnd in module pandas.tseries.offsets:
class BQuarterEnd(DateOffset, CacheableOffset)
| DateOffset increments between business Quarter dates
| startingMonth = 1 corresponds to dates like 1/31/200... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4110/events | https://github.com/pandas-dev/pandas/issues/4110 | 16,298,337 | MDU6SXNzdWUxNjI5ODMzNw== | 4,110 | BUG: in io.sql.write_frame (replace) | {
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```
Parameters: (...)
if_exists: {‘fail’, ‘replace’, ‘append’}, default ‘fail’ :
fail: If table exists, do nothing. replace: If table exists, drop it, recreate it,
and insert data. append: If table exists, insert data. Create if ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4111/events | https://github.com/pandas-dev/pandas/pull/4111 | 16,317,416 | MDExOlB1bGxSZXF1ZXN0NjcwNDY4OA== | 4,111 | CLN: use how="all" in data.py so that things that are not nan in other columns are kept | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4112/events | https://github.com/pandas-dev/pandas/issues/4112 | 16,317,969 | MDU6SXNzdWUxNjMxNzk2OQ== | 4,112 | BUG: double figure when passing by to Series.hist | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4113/events | https://github.com/pandas-dev/pandas/pull/4113 | 16,318,826 | MDExOlB1bGxSZXF1ZXN0NjcwNTQ1NQ== | 4,113 | BUG: make sure fig is not doubled when passing by to series.hist | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4114 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4114/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4114/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4114/events | https://github.com/pandas-dev/pandas/pull/4114 | 16,323,551 | MDExOlB1bGxSZXF1ZXN0NjcwODExNg== | 4,114 | CLN/TST: cleanup exception message testing by replacing with assertRaisesRegexp | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4115 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4115/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4115/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4115/events | https://github.com/pandas-dev/pandas/issues/4115 | 16,324,219 | MDU6SXNzdWUxNjMyNDIxOQ== | 4,115 | BUG: DataFrame.replace is broken in 0.12-dev | {
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"i... | 18 | 2013-07-03T15:35:54Z | 2016-10-12T23:03:57Z | 2013-07-03T18:59:42Z | CONTRIBUTOR | null | the `DataFrame.replace` seems to be broken in 0.12 development version
this code:
```
df = pd.DataFrame({'Type':['Q','T','Q','Q','T'], 'tmp':2})
print df
print df.replace({'Type': {'Q': 0, 'T': 1}})
```
Return correct result in 0.11.0:
```
Type tmp
0 Q 2
1 T 2
2 Q 2
3 Q 2
4 T 2
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```
IIn [3]: import itertools
In [4]: inner = ('a','b')
In [5]: outer = ((10,20), (1,2))
In [6]: cols = ('one','two','three','four')
In [7]: sngl = pd.DataFrame(np.random.randn(2,4), index=inn... | {
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"i... | 2 | 2013-07-03T16:08:37Z | 2014-07-16T08:17:27Z | 2013-07-03T18:59:43Z | MEMBER | null | closes #4115.
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https://api.github.com/repos/pandas-dev/pandas/issues/4118 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4118/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4118/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4118/events | https://github.com/pandas-dev/pandas/issues/4118 | 16,327,401 | MDU6SXNzdWUxNjMyNzQwMQ== | 4,118 | ENH: unify the replace API | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4119 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4119/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4119/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4119/events | https://github.com/pandas-dev/pandas/issues/4119 | 16,340,917 | MDU6SXNzdWUxNjM0MDkxNw== | 4,119 | convert_object not converting to NaN | {
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"i... | 0 | 2013-07-03T21:05:14Z | 2013-07-03T23:43:15Z | 2013-07-03T23:43:15Z | CONTRIBUTOR | null | docstring seem to suggest that this ought to convert to NaN:
```
In [10]: s = pd.Series([1, 'na', 3 ,4])
In [11]: s.convert_objects(convert_numeric=True)
Out[11]:
0 1
1 na
2 3
3 4
dtype: object
```
Docstring:
```
convert_numeric : boolean, default True
if True attempt to coerce to numbers (includ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4120/events | https://github.com/pandas-dev/pandas/pull/4120 | 16,342,158 | MDExOlB1bGxSZXF1ZXN0NjcxODE4Mg== | 4,120 | BUG: GH4119 Fixed bug in convert_objects(convert_numeric=True) where a mixed numeric and object not converting | {
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"i... | 0 | 2013-07-03T21:37:43Z | 2014-07-16T08:17:29Z | 2013-07-03T23:43:15Z | CONTRIBUTOR | null | closes #4119
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https://api.github.com/repos/pandas-dev/pandas/issues/4121 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4121/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4121/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4121/events | https://github.com/pandas-dev/pandas/issues/4121 | 16,345,338 | MDU6SXNzdWUxNjM0NTMzOA== | 4,121 | TST: plotting failing tests | {
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"i... | 7 | 2013-07-03T23:06:45Z | 2013-07-03T23:14:19Z | 2013-07-03T23:14:19Z | CONTRIBUTOR | null | just failed under 2.7 & 3.3
unrelated to my PR
https://travis-ci.org/jreback/pandas/jobs/8716024
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https://api.github.com/repos/pandas-dev/pandas/issues/4122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4122/events | https://github.com/pandas-dev/pandas/issues/4122 | 16,348,865 | MDU6SXNzdWUxNjM0ODg2NQ== | 4,122 | windows build test failures | {
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"i... | 9 | 2013-07-04T01:46:08Z | 2013-07-04T16:05:03Z | 2013-07-04T15:11:52Z | CONTRIBUTOR | null | getting test failures on the windows builds. this is from py27 64-bit:
```
======================================================================
ERROR: test_replace_convert (pandas.tests.test_frame.TestDataFrame)
----------------------------------------------------------------------
Traceback (most recent call last):... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4123/events | https://github.com/pandas-dev/pandas/pull/4123 | 16,367,782 | MDExOlB1bGxSZXF1ZXN0NjczMTQ4MQ== | 4,123 | BUG/TST: test fixes for windows compat | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4124 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4124/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4124/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4124/events | https://github.com/pandas-dev/pandas/pull/4124 | 16,369,510 | MDExOlB1bGxSZXF1ZXN0NjczMjQyOQ== | 4,124 | CLN: Small fix to clean_pyc task | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4125/events | https://github.com/pandas-dev/pandas/issues/4125 | 16,371,119 | MDU6SXNzdWUxNjM3MTExOQ== | 4,125 | BUG: indexing with an entire period_index raising | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2013-07-04T14:48:14Z | 2015-09-09T21:41:02Z | 2015-09-09T21:41:01Z | CONTRIBUTOR | null | ```
In [57]: pi = pd.period_range('2002-01','2003-12',freq='M')
In [58]: pi
Out[58]:
<class 'pandas.tseries.period.PeriodIndex'>
freq: M
[2002-01, ..., 2003-12]
length: 24
In [59]: p = pd.Panel(randn(24,5,10),items=pi)
In [60]: p
Out[60]:
<class 'pandas.core.panel.Panel'>
Dimensions: 24 (items) x 5 (major_axis) x ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4126 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4126/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4126/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4126/events | https://github.com/pandas-dev/pandas/issues/4126 | 16,371,854 | MDU6SXNzdWUxNjM3MTg1NA== | 4,126 | ENH: change Index unique to return an Index/MultiIndex (rather than ndarray) | {
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"followers_url": "https://api.github.com/users/jorisva... | 0 | 2013-07-04T15:05:42Z | 2016-06-08T12:36:32Z | 2016-06-08T11:04:50Z | CONTRIBUTOR | null | Change `unique` to return an Index/MultiIndex as needed (rather than an ndarray)
```
In [81]: tuples = [(0, 100, 1000),(0, 100, 1001),(0, 100, 1002), (1, 101, 1001)]
In [82]: index_3levels=pd.MultiIndex.from_tuples(tuples,names=["l1","l2","l3"])
In [83]: index_3levels
Out[83]:
MultiIndex
[(0, 100, 1000), (0, 100, 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4127 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4127/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4127/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4127/events | https://github.com/pandas-dev/pandas/pull/4127 | 16,374,893 | MDExOlB1bGxSZXF1ZXN0NjczNTM4OA== | 4,127 | fix typo - change conn to con | {
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Method def has `con` while documentation had `conn`.
`def write_frame(frame, name, con, flavor='sqlite', if_exists='fail', **kwargs):`
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https://api.github.com/repos/pandas-dev/pandas/issues/4128 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4128/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4128/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4128/events | https://github.com/pandas-dev/pandas/pull/4128 | 16,383,134 | MDExOlB1bGxSZXF1ZXN0NjczOTE3OA== | 4,128 | BLD: use wheel packages to reduce travis-ci build times. | {
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Before: https://travis-ci.org/pydata/pandas/builds/8738816
After: https://travis-ci.org/y-p/pandas/builds/8749214
The existing build cache system for 2to3 and cythonized caching can knock this
down much more, but it's more fragile and part of the reason the previous attempt
ultim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4129 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4129/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4129/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4129/events | https://github.com/pandas-dev/pandas/issues/4129 | 16,396,390 | MDU6SXNzdWUxNjM5NjM5MA== | 4,129 | In pandas.DataFrame.to_dict add an option for dict keys to be strings instead of integers | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4130/events | https://github.com/pandas-dev/pandas/issues/4130 | 16,402,441 | MDU6SXNzdWUxNjQwMjQ0MQ== | 4,130 | Non-Reducing Return Values in Rolling .apply | {
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"f... | 2 | 2013-07-05T13:08:56Z | 2020-10-05T00:10:12Z | null | CONTRIBUTOR | null | related #2813, #4964 (somewhat)
At the moment rolling_apply (et al) the passed function has to return a value (unlike apply which can return a Series and overall return a DataFrame).
If you could pass it a Series you could, for example, do this:
```
from pandas.core.algorithms import value_counts
s = Series([1, 1, 2... | {
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"i... | 3 | 2013-07-05T13:17:04Z | 2013-07-07T04:40:23Z | 2013-07-06T04:17:34Z | CONTRIBUTOR | null | The parse method in the ExcelFile class does not pass the argument _keep_default_na_ to the TextParser from pandas.io.parsers. There is no clean way to override the default na values when parsing excel files with the current code.
My specific problem involves "NA" as a typical value for "North America" in excel files... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4132/events | https://github.com/pandas-dev/pandas/issues/4132 | 16,403,131 | MDU6SXNzdWUxNjQwMzEzMQ== | 4,132 | BLD: travis seems to have not installed dateutil on py3.3 | {
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"i... | 13 | 2013-07-05T13:27:52Z | 2013-07-06T01:17:48Z | 2013-07-05T22:38:54Z | CONTRIBUTOR | null | Just to note that this build failed, which is strange since the commit #4127 seems to only change one character in a docstring, I'm assuming it's a travis issue?
https://travis-ci.org/pydata/pandas/jobs/8765391
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https://api.github.com/repos/pandas-dev/pandas/issues/4133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4133/events | https://github.com/pandas-dev/pandas/issues/4133 | 16,407,330 | MDU6SXNzdWUxNjQwNzMzMA== | 4,133 | Periods not correctly represented in to_excel() with monthly PeriodIndex | {
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"followers_url": "https://api.github.com/users/... | 4 | 2013-07-05T15:10:22Z | 2014-01-26T18:58:24Z | 2014-01-26T18:58:24Z | CONTRIBUTOR | null | When I have a Panel with a PeriodIndex with `freq="M"` and I use `mypanel.to_excel()`, then the PeriodIndex gets represented as `YYYY-MM-DD` in the output Excel file. I would expect it to be rather `YYYY-MM`.
Is this a bug or a feature?
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https://api.github.com/repos/pandas-dev/pandas/issues/4134 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4134/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4134/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4134/events | https://github.com/pandas-dev/pandas/issues/4134 | 16,408,869 | MDU6SXNzdWUxNjQwODg2OQ== | 4,134 | API: Series/DTIndex arithmetic with timedeltas and offsets should work the same | {
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```
In [101]: rng = pd.date_range('2013', '2014')
In [102]: rng
Out[102]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-07-05 00:00:00, ..., 2014-07-05 00:00:00]
Length: 366, Freq: D, Timezone: None
I... | {
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```
In [41]: s = Series([Timestamp('20130301'),Timestamp('20130228 23:00:00'),Timestamp('20130228 22:00:00'),Timestamp('20130228 21:00:00')])
In [42]: s
Out[42]:
0 2013-03-01 00:00:00
1 2013-02-28 23:00:00
2 2013-02-28 22:00:00
3 2013-02-28 21:00:0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4139/events | https://github.com/pandas-dev/pandas/pull/4139 | 16,411,600 | MDExOlB1bGxSZXF1ZXN0Njc1Mjg1MQ== | 4,139 | BUG: Make ExcelFile.parse pass kwds to TextParser | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4140/events | https://github.com/pandas-dev/pandas/pull/4140 | 16,413,116 | MDExOlB1bGxSZXF1ZXN0Njc1MzY4NQ== | 4,140 | ENH: Google BigQuery IO Module | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4141/events | https://github.com/pandas-dev/pandas/pull/4141 | 16,418,247 | MDExOlB1bGxSZXF1ZXN0Njc1NjQzNA== | 4,141 | BLD: install pip serially | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4142/events | https://github.com/pandas-dev/pandas/issues/4142 | 16,421,833 | MDU6SXNzdWUxNjQyMTgzMw== | 4,142 | BLD: are correct versions of numpy being installed / statsmodel install (wheel issue?) | {
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"i... | 64 | 2013-07-05T22:53:17Z | 2016-10-12T23:03:58Z | 2013-07-08T04:15:07Z | CONTRIBUTOR | null | numpy 1.6.1 supposed to be installed here ?
https://travis-ci.org/pydata/pandas/jobs/8782276
statsmodels not installing
https://travis-ci.org/pydata/pandas/jobs/8782274
#4128
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https://api.github.com/repos/pandas-dev/pandas/issues/4144 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4144/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4144/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4144/events | https://github.com/pandas-dev/pandas/pull/4144 | 16,423,575 | MDExOlB1bGxSZXF1ZXN0Njc1ODcxNw== | 4,144 | ENH melt uses column name if available | {
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```
In [1]: df = pd.DataFrame({'a': {0: 1.0676829999999999, 1: -1.3214049999999999, 2: -0.80733299999999997}, 'b': {0: -1.110463, 1: 0.36891499999999999, 2: 0.0829799... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4145 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4145/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4145/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4145/events | https://github.com/pandas-dev/pandas/issues/4145 | 16,429,784 | MDU6SXNzdWUxNjQyOTc4NA== | 4,145 | DataFrame MultiIndex column access (and pop) | {
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"i... | 7 | 2013-07-06T11:11:41Z | 2013-07-06T13:21:40Z | 2013-07-06T13:21:40Z | CONTRIBUTOR | null | Suppose I want to acces a column in df2 (perhaps there is a near way, but I also expect these to work):
```
In [11]: df
Out[11]:
h1 main h3 sub h5
0 a A 1 A1 1
1 b B 2 B1 2
2 c B 3 A1 3
3 d A 4 B2 4
4 e A 5 B2 5
5 f B 6 A2 6
In [12]: df2 = df.set_index(['main'... | {
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"i... | 0 | 2013-07-06T11:39:54Z | 2013-07-06T13:28:09Z | 2013-07-06T13:27:19Z | CONTRIBUTOR | null | This appears to be a regression since 0.11 in handling duplicates in MultiIndex columns:
```
In [11]: df
Out[11]:
h1 main h3 sub h5
0 a A 1 A1 1
1 b B 2 B1 2
2 c B 3 A1 3
3 d A 4 B2 4
4 e A 5 B2 5
5 f B 6 A2 6
In [12]: df2 = df.set_index(['main', 'sub']).T.sor... | {
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... | 26 | 2013-07-06T12:37:58Z | 2020-09-22T00:04:40Z | null | CONTRIBUTOR | null | related #4279
related #5967
Min doesn't seem to work as expected with NaNs and non-numeric data:
```
In [1]: s = pd.Series(['alpha', np.nan, 'charlie', 'delta'])
In [2]: s
Out[2]:
0 alpha
1 NaN
2 charlie
3 delta
dtype: object
In [3]: s.min() # by default docstring suggests this should skipnan
O... | {
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"i... | 3 | 2013-07-06T13:03:12Z | 2014-06-15T09:47:51Z | 2013-07-06T13:21:40Z | CONTRIBUTOR | null | closes #4145, #4146
```
In [1]: data = """h1 main h3 sub h5
...: 0 a A 1 A1 1
...: 1 b B 2 B1 2
...: 2 c B 3 A1 3
...: 3 d A 4 B2 4
...: 4 e A 5 B2 5
...: 5 f B 6 A2 6"""
In [2]: df = pd.read_csv(StringIO(data),sep='\s+',index_col=0)
In [3]: d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4150/events | https://github.com/pandas-dev/pandas/pull/4150 | 16,433,129 | MDExOlB1bGxSZXF1ZXN0Njc2MjAxNQ== | 4,150 | ENH: Melt with MultiIndex columns | {
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"i... | 62 | 2013-07-06T17:08:19Z | 2014-06-12T13:34:21Z | 2013-07-12T13:16:57Z | CONTRIBUTOR | null | No idea if there's actually a market for this, but anyhow:
```
In [1]: df = pd.DataFrame([[ 1.067683, -1.110463, 0.20867 ], [-1.321405, 0.368915, -1.055342], [-0.807333, 0.08298 , -0.873361]])
In [2]: df.columns = [list('ABC'), list('abc')]
In [3]: df.columns.names = ['CAP', 'low']
In [4]: df
Out[4]:
CAP ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4151/events | https://github.com/pandas-dev/pandas/pull/4151 | 16,437,870 | MDExOlB1bGxSZXF1ZXN0Njc2MzYyMw== | 4,151 | WPI: Eval with some PyTables support | {
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add some support to replace Term expressions in HDFStore with a direct expression parsing
e.g.
`store.select('columns=A & index>=df.index[0:4]')`
in theory should work
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-07-07T04:07:15Z | 2013-07-09T16:59:56Z | 2013-07-09T13:10:36Z | CONTRIBUTOR | null | ``` python
import datetime as dt
import pandas as pd
val = '01-Apr-2011 00:00:01.978'
print 'pandas version:',pd.__version__
print 'Value to parse:',val
format = '%d-%b-%Y %H:%M:%S.%f'
print 'datetime.strptime :',dt.datetime.strptime(val, format)
print 'to_datetime, w/out format:',pd.to_datetime(val)
print 'to_d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4153 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4153/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4153/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4153/events | https://github.com/pandas-dev/pandas/pull/4153 | 16,438,983 | MDExOlB1bGxSZXF1ZXN0Njc2Mzk5NQ== | 4,153 | ENH: add correct versions of numpy installs | {
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"i... | 13 | 2013-07-07T04:38:21Z | 2014-07-16T08:17:58Z | 2013-07-08T04:15:07Z | MEMBER | null | closes #4142.
should be able to finish up tomorrow, just need to put things on the server and
test
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https://api.github.com/repos/pandas-dev/pandas/issues/4154 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4154/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4154/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4154/events | https://github.com/pandas-dev/pandas/pull/4154 | 16,438,996 | MDExOlB1bGxSZXF1ZXN0Njc2NDAwMQ== | 4,154 | DOC: Improve excel docs | {
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"i... | 1 | 2013-07-07T04:40:23Z | 2014-07-16T08:18:02Z | 2013-07-10T13:09:33Z | CONTRIBUTOR | null | I simply updated the docs to reflect that `xlrd` handles reading of both `.xls` and `.xlsx` files, and I updated docstrings affected functions by #4131 so that their docstrings stand on their own.
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https://api.github.com/repos/pandas-dev/pandas/issues/4155 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4155/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4155/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4155/events | https://github.com/pandas-dev/pandas/pull/4155 | 16,449,494 | MDExOlB1bGxSZXF1ZXN0Njc2NzUyMA== | 4,155 | WIP: use eval expression parsing as replacement for Term in HDFStore | {
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allows natural syntax for queries, with in-line variables allowed
some examples
`"ts>=Timestamp('2012-02-01') & users=['a','b','c']"`
`['A > 0']`
```
dates=pd.date_range('20130101',periods=5)
'index>dates'
```
Todos:
- [ ] update docs / need new examples
- [ ] API changes (disallow dict... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4156 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4156/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4156/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4156/events | https://github.com/pandas-dev/pandas/issues/4156 | 16,453,592 | MDU6SXNzdWUxNjQ1MzU5Mg== | 4,156 | Comparison after pd.concat | {
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I am wondering if the following is considered to be a bug.
I have two Series a and b. They are the same.
However, after merging with a third Series c, the equality no longer hold.
```
a = {"open": 1, "high": 2, "low": 3, "close": 4, "UpBand": 4, "MidBand":3, "LowBand":5}
b = {"low": 3, "close": 4, "open": 1,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4157/events | https://github.com/pandas-dev/pandas/issues/4157 | 16,459,191 | MDU6SXNzdWUxNjQ1OTE5MQ== | 4,157 | DOC: read_clipboard() failed for sphinx in dev-99ae9ce | {
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"i... | 22 | 2013-07-08T08:02:00Z | 2013-07-24T20:05:54Z | 2013-07-24T20:05:54Z | CONTRIBUTOR | null | See here:
http://pandas.pydata.org/pandas-docs/dev/io.html#clipboard
and scroll to the clipboard section.
Line [1215] with read_clipboard() failed.
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https://api.github.com/repos/pandas-dev/pandas/issues/4158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4158/events | https://github.com/pandas-dev/pandas/issues/4158 | 16,461,392 | MDU6SXNzdWUxNjQ2MTM5Mg== | 4,158 | BUG: DataFrame.to_string() creates extra space for string dtypes | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-07-08T09:05:18Z | 2013-09-28T19:33:55Z | 2013-09-28T19:33:55Z | CONTRIBUTOR | null | `pd.__version__`
'0.12.0.dev-6a0b9ec'
``` python
exdf = pd.DataFrame([["aoe",12,3.14],["qjk",34,5.67]])
exdf.columns = list('abc')
#exdf = exdf.reindex(columns=reversed(list('abc')))
def a(inp):
return '{:>3s},'.format(inp)
def b(inp):
return '{:2d},'.format(inp)
def c(inp):
return '{:3.2f},'.format(inp)
p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4159/events | https://github.com/pandas-dev/pandas/issues/4159 | 16,467,377 | MDU6SXNzdWUxNjQ2NzM3Nw== | 4,159 | DOC: width of page (text area) too small and wrong indentation of bullet lists | {
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"i... | 7 | 2013-07-08T11:56:12Z | 2013-07-11T11:13:48Z | 2013-07-10T18:59:26Z | MEMBER | null | I noticed that the width of the docs (the text area) is set to a certain maximum in the dev/0.12 version, which I think is a good idea! (certain for wide screens). However, I think it is a little bit too small, as illustrated with the figure below:
![pandas-docs](https://f.cloud.github.com/assets/1020496/761081/437e47... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4160/events | https://github.com/pandas-dev/pandas/issues/4160 | 16,471,993 | MDU6SXNzdWUxNjQ3MTk5Mw== | 4,160 | ENH/BUG: Rename of MultiIndex DataFrames does not work | {
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... | 25 | 2013-07-08T13:52:55Z | 2021-10-29T01:58:26Z | null | NONE | null | xref #14139 for empty MI
Hi everybody,
in the current version renaming of MultiIndex DataFrames does not work. Lets take the following example:
```
import datetime as DT
import pandas as pd
df = pd.DataFrame({
'Branch' : 'A A A A A B'.split(),
'Buyer': 'Carl Mark Carl Joe Mark Carl'.split(),
'Quantity': [1,3,5,8,9,3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4161/events | https://github.com/pandas-dev/pandas/issues/4161 | 16,482,602 | MDU6SXNzdWUxNjQ4MjYwMg== | 4,161 | TimeGrouper only works properly when using a sorted DateTimeIndex | {
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"labels_url": "htt... | 3 | 2013-07-08T17:10:59Z | 2014-02-14T03:24:56Z | 2014-02-14T03:24:56Z | NONE | null | related SO question
http://stackoverflow.com/questions/19636370/dataframe-groupbytimegrouper-d-invalid-length-for-values-or-for-binner/19636874?noredirect=1#comment29155715_19636874
Hi everybody,
today I spend the whole afternoon figuring out that TimeGrouper only works properly when using on a sorted(!) DateTimeInd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4162/events | https://github.com/pandas-dev/pandas/pull/4162 | 16,485,669 | MDExOlB1bGxSZXF1ZXN0Njc4NTQxOQ== | 4,162 | ENH: add expression evaluation functionality via eval | {
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"followers_url": "https://api.github.com/users/wesm... | 30 | 2013-07-08T18:16:45Z | 2013-09-17T20:53:44Z | 2013-07-08T20:11:27Z | MEMBER | null | closes #3393.
cc @jreback
# `eval` Roadmap
## PyTables
allows natural syntax for queries, with in-line variables allowed
some examples
`"ts>=Timestamp('2012-02-01') & users=['a','b','c']"`
`['A > 0']`
```
dates=pd.date_range('20130101',periods=5)
'index>dates'
```
Todos:
- [ ] update docs / need new examples
- [ ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4163/events | https://github.com/pandas-dev/pandas/issues/4163 | 16,490,469 | MDU6SXNzdWUxNjQ5MDQ2OQ== | 4,163 | ENH: sql support | {
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"labels_url": "htt... | 176 | 2013-07-08T19:54:20Z | 2014-07-23T22:53:35Z | 2014-02-08T03:26:32Z | CONTRIBUTOR | null | **UPDATE**: this is continued in #6292 after the refactor based on sqlalchemy.
---
This is a central issue to track sql support (migrated from the mysql support ticket - #2482 and #1662).
- [x] sqlite
- [x] mysql (#2482)
- [ ] oracle (not tested, partially working)
- [ ] postgres, (partial via #4574) (not tested, som... | {
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closes #2560
cc @jreback
# `eval` Roadmap
## PyTables
allows natural syntax for queries, with in-line variables allowed
some examples
`"ts>=Timestamp('2012-02-01') & users=['a','b','c']"`
`['A > 0']`
`'(index>df.index[3] & index<=df.index[6]) | string="bar"'`
```
dates=pd.date_range('20130101',perio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4165/events | https://github.com/pandas-dev/pandas/pull/4165 | 16,493,360 | MDExOlB1bGxSZXF1ZXN0Njc4OTYzNA== | 4,165 | DOC: increased width of text area (#4159) | {
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"i... | 25 | 2013-07-08T20:51:57Z | 2014-06-17T19:31:27Z | 2013-07-10T18:55:26Z | MEMBER | null | See #4159
This adds a minimum and maximum width of the text area (instead of one fixed value of, at the moment 600px), and I also increased the maximum value (from 600 to 840).
I took the values of the standard sphinx docs which are 780-1080 (minus 240 for the sidebar, in the standard sphinx docs the width is define... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4166 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4166/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4166/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4166/events | https://github.com/pandas-dev/pandas/pull/4166 | 16,496,694 | MDExOlB1bGxSZXF1ZXN0Njc5MTQ1Nw== | 4,166 | BUG: wrong parsing of microseconds with format arg (#4152) | {
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`fraction` was already in microseconds, so no need to multiply it with 1000000, which caused faulty parsing of dates with microseconds.
With this commit I get:
```
pandas version: 0.12.0.dev
Value to parse: 01-Apr-2011 00:00:01.978
datetime.strptime : 2011-04-01 00:00:01.978000
to_datetime, w/ou... | {
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e.g. http://pandas.pydata.org/pandas-docs/dev/foo.html
I think these pages link to the old (non-existent) `"_static/pydata.css"` rather than `"_static/nature.css"` (does this come from [here](https://github.com/pydata/p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4170/events | https://github.com/pandas-dev/pandas/issues/4170 | 16,524,717 | MDU6SXNzdWUxNjUyNDcxNw== | 4,170 | API: boolean dtype upsets cumsum | {
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```
In [10]: b = pd.Series([False, False, False, True, True, False, False])
In [11]: b
Out[11]:
0 False
1 False
2 False
3 True
4 True
5 False
6 False
dtype: bool
I... | {
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http://stackoverflow.com/questions/17548669/reading-excel-to-a-python-data-frame-starting-from-row-5-and-including-headers
apparently it's possible with openpyxl.
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#4113 #413 #2168
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the test errors because two different reads of the same data yield different values...i'm not sure how to test for this since no matter what they should be the same....? thoughts?
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https://api.github.com/repos/pandas-dev/pandas/issues/4175 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4175/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4175/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4175/events | https://github.com/pandas-dev/pandas/pull/4175 | 16,528,787 | MDExOlB1bGxSZXF1ZXN0NjgwODI5Mg== | 4,175 | DOC to_datetime warning about dayfirst strictness | {
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Doesn't address the issue, but warns users about it in the docstring (it's already got a warning in the docs).
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FAIL: pandas.tseries.tests.test_timeseries:TestTimeSeries.test_to_datetime_format_microsecond
gvim -f +836 pandas/tseries/tests/test_timeseries.py # test_to_datetime_format_microsecond
self.assertEqual(result, exp)
AssertionError: Timestamp('2011-03-31 23:24:13.516352', tz=None) != datetime.datetime(2011, 4,... | {
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```
In [4]: df = DataFrame({'da... | {
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```
weights = np.random.randn(4,4)
panel = pd.util.testing.makePanel(nper=2).to_frame()
panel.groupby(level=0).apply(lambda x : np.dot(weights, x))
```
I realize I can do
```
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https://travis-ci.org/pydata/pandas/jobs/8900734
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https://api.github.com/repos/pandas-dev/pandas/issues/4183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4183/events | https://github.com/pandas-dev/pandas/issues/4183 | 16,547,260 | MDU6SXNzdWUxNjU0NzI2MA== | 4,183 | DOC: Expand View vs copy in the docs | {
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"followers_url": "https://api.github.com/users/jr... | 13 | 2013-07-09T21:01:52Z | 2015-03-03T01:27:02Z | 2015-03-03T01:27:02Z | CONTRIBUTOR | null | At the moment it's a common source of confusion as to what returns a view vs a copy. The [docs are fairly light on this atm](http://pandas.pydata.org/pandas-docs/dev/indexing.html#indexing-view-versus-copy).
Need to expand this section with lots of example, and update with what now returns a view.
I've said before to ... | {
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"i... | 0 | 2013-07-09T23:31:56Z | 2014-07-16T08:18:39Z | 2013-07-09T23:59:45Z | MEMBER | null | closes #4182.
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https://api.github.com/repos/pandas-dev/pandas/issues/4185 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4185/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4185/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4185/events | https://github.com/pandas-dev/pandas/issues/4185 | 16,553,624 | MDU6SXNzdWUxNjU1MzYyNA== | 4,185 | ER: better error messages on Panel construction with non-nested dict | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2013-07-09T23:41:39Z | 2018-07-06T20:21:00Z | 2017-07-11T09:56:43Z | CONTRIBUTOR | null | see related: https://github.com/pydata/pandas/pull/4184, #4324
```
In [2]: pd.Panel(dict(A = np.nan))
AttributeError: 'float' object has no attribute 'shape'
```
```
In [26]: a = pd.Series(np.random.randn(4))
In [27]: b = pd.Series(np.random.randn(4), index=np.arange(1, 5))
In [28]: pd.Panel({'a': a, 'b': b})
Index... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4186/events | https://github.com/pandas-dev/pandas/pull/4186 | 16,556,781 | MDExOlB1bGxSZXF1ZXN0NjgyNDEyOA== | 4,186 | TST: fix ujson tests failures on 32-bit | {
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"i... | 3 | 2013-07-10T01:36:44Z | 2014-07-16T08:18:41Z | 2013-07-10T18:56:00Z | CONTRIBUTOR | null | As pointed out by @lodagro [here](https://github.com/pydata/pandas/commit/a8d15bd4c6dae2c65ed4aa4b2f76c029b6358113#commitcomment-3521549) and [here](https://github.com/pydata/pandas/commit/a8d15bd4c6dae2c65ed4aa4b2f76c029b6358113#commitcomment-3521581) some of the ujson tests fail on 32-bit due to precision errors.
Th... | {
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"i... | 9 | 2013-07-10T11:11:43Z | 2013-09-10T19:03:57Z | 2013-07-13T08:21:49Z | CONTRIBUTOR | null | ```
In [3]: m = pd.MultiIndex.from_arrays([[1,2], [3,4]])
In [4]: m
Out[4]:
MultiIndex
[(1, 3), (2, 4)]
In [5]: pd.Series(m)
[1] 786 segmentation fault ipython
pd.Series(m.values) has same fault (list of tuples)
```
Probably this should just be disallowed.
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```
m = pd.MultiIndex.from_arrays([[1,2], [3,4]])
In [11]: pd.DataFrame(m)
Out[11]:
Empty DataFrame
Columns: [0]
Index: []
```
Unfortuantely m.values doesn't work "as expected":
```
In [20]: m.values
Out[20]: array([(1, 3), (2, 4)], dtype=object)
In [21]: pd.DataFrame(m.values)
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https://api.github.com/repos/pandas-dev/pandas/issues/4189 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4189/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4189/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4189/events | https://github.com/pandas-dev/pandas/issues/4189 | 16,575,520 | MDU6SXNzdWUxNjU3NTUyMA== | 4,189 | API: Should this raise an error or a warning in HDFStore? | {
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"i... | 11 | 2013-07-10T12:53:33Z | 2013-07-12T00:05:12Z | 2013-07-11T13:17:51Z | CONTRIBUTOR | null | Currently in 0.12.
```
In [3]: DataFrame(randn(10,2)).to_hdf('test_storer.h5','df')
In [4]: DataFrame(randn(10,2)).to_hdf('test_table.h5','df',table=True)
```
Selecting from a table is good with or without a where
```
In [6]: pd.read_hdf('test_table.h5','df',where='index>5')
Out[6]:
0 1
6 0.2969... | {
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Constructing Series with a MultiIndex raises NotImplementedError, the option (to implement this) is to return `.to_series()` ?
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related: #3418, #3171
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```
s = pd.Series([1.0, 2.0], dtype=float)
s[[True, False]] = np.array([2.0])
```
The expectation would be that the first item in the series will be set to 2. Unfortunately due to a bug in broadcasting, pandas will set the first item in the series to 2*len(s). The culprit appears to be ... | {
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and maybe deprecate `percentile_width` / replace with `quantiles=[50]`
like this:
http://stackoverflow.com/questions/17578115/pass-percentiles-to-pandas-agg-functio... | {
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Hey pandas team. Sorry to have gone MIA the past week, super busy with work. I promise (and look forward to) contributing more soon. :)
Still, I wanted to note that I came across what ... | {
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http://stackoverflow.com/questions/17538902/is-there-a-way-to-speed-up-this-pandas-function
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- But, nan value can not be treated well by MySQLdb, it will raise an exception:
``` python
OperationalError: (1054, "Unknown column 'nan' in 'field list'")
```
- I've tried to convert all nan value to None, bu... | {
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