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https://api.github.com/repos/pandas-dev/pandas/issues/5501 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5501/events | https://github.com/pandas-dev/pandas/issues/5501 | 22,549,297 | MDU6SXNzdWUyMjU0OTI5Nw== | 5,501 | API/ENH: enable boolean indexing conditions to reference its input frame via eval | {
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```
df.where("A>0",1)
df.loc["A>0"]
```
so could process the condition via an 'eval' type of operation
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https://api.github.com/repos/pandas-dev/pandas/issues/5502 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5502/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5502/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5502/events | https://github.com/pandas-dev/pandas/issues/5502 | 22,567,385 | MDU6SXNzdWUyMjU2NzM4NQ== | 5,502 | ENH: Add Index.normalize as a Series or DataFrame method | {
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"f... | 7 | 2013-11-13T02:28:06Z | 2020-09-20T23:00:52Z | 2020-09-20T23:00:51Z | CONTRIBUTOR | null | Currently `normalize` does not work on a `Series` or a `DataFrame`:
```
pd.Series(range(5), index=pd.date_range('2013-1-1', periods=5,freq='D')).normalize()
AttributeError: 'Series' object has no attribute 'normalize'
```
However, changing the timezone, which I consider to be a similar type of operation, does work:
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https://api.github.com/repos/pandas-dev/pandas/issues/5503 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5503/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5503/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5503/events | https://github.com/pandas-dev/pandas/issues/5503 | 22,567,538 | MDU6SXNzdWUyMjU2NzUzOA== | 5,503 | Add argmax to GroupBy object | {
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I was thinking something along the lines of:
```
interesting_rows = raw_data.groupby(["city"]).argmax(over='obt_dt')
```
which would pull out the row in each group that has the max value in the col... | {
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Some issues I encountered:
- it is not mentioned the result is set to the right edge of the window.
- the `center` keyword is not documented.
- the explanation for `freq` (_... | {
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```
df.pivot(index=foo, columns=bar, values=baz)
```
and
```
df.pivot_table(rows=foo, cols=bar, values=baz)
```
Because of dirtyness in my data I occasionally have to go back and forth between the two forms (and use `df.pivot_table(..., aggfunc='count')` to see who had the bad data). It would ... | {
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Setting the index to an Int64Index fixes the issue, so it seems like it has to do with DateTimeIndex.
pd.**version** = '0.12.0-1095-g3239b29'
In [130]: from pandas.io.data import DataReader
In [131]: from pandas.io.packers impor... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-11-13T18:48:54Z | 2014-07-16T08:40:20Z | 2013-11-13T19:53:52Z | CONTRIBUTOR | null | BUG: bug in to_msgpack for no freqstr datetime index (GH5506)
closes #5506
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2013-11-13T21:10:28Z | 2017-12-21T05:59:38Z | 2013-11-14T01:06:30Z | NONE | null | Using the latest git version of pandas (705b677) I have exerienced the
following problems:
``` python
In [1]: a = pd.DataFrame(index=pd.Index(xrange(1,11)))
In [2]: a['foo'] = np.zeros(10, dtype=np.float)
In [3]: a['bar'] = np.zeros(10, dtype=np.complex)
In [4]: a.ix[2:5, 'bar']
Out[4]:
2 0j
3 0j
4 0j
5 ... | {
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] | closed | false | null | [] | null | 4 | 2013-11-13T23:08:08Z | 2013-11-27T18:33:18Z | 2013-11-27T18:33:04Z | CONTRIBUTOR | null | I'm trying to pin down where this is happening still, maybe you'll be able to tell by looking at the values:
``` python
In [10]: a['timestamp'].head()
Out[10]:
1 2 \
HRHHID HUHHNUM PULINENO
45004066531 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5510/events | https://github.com/pandas-dev/pandas/pull/5510 | 22,633,278 | MDExOlB1bGxSZXF1ZXN0OTk0NDgwNg== | 5,510 | ENH add cumcount groupby method | {
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Happy to hear ways to make this faster, but I think this is a good convenience function as is.
Update: made significantly faster...
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https://api.github.com/repos/pandas-dev/pandas/issues/5511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5511/events | https://github.com/pandas-dev/pandas/issues/5511 | 22,633,833 | MDU6SXNzdWUyMjYzMzgzMw== | 5,511 | BUG: Series Index 0 displays wrong data after converting String index to DatetimeIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5512/events | https://github.com/pandas-dev/pandas/pull/5512 | 22,634,224 | MDExOlB1bGxSZXF1ZXN0OTk0NTI5Nw== | 5,512 | BUG: Fixed various setitem with iterable that does not have a matching length to the indexer (GH5508) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5513/events | https://github.com/pandas-dev/pandas/issues/5513 | 22,658,467 | MDU6SXNzdWUyMjY1ODQ2Nw== | 5,513 | Exception when trying to get values from DataFrame with duplicate column names and | {
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```
# no duplicates - ok
>>> df = pd.D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5514/events | https://github.com/pandas-dev/pandas/pull/5514 | 22,659,293 | MDExOlB1bGxSZXF1ZXN0OTk1ODYwOA== | 5,514 | CLN: Add more methods to whitelist (for now) | {
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0.13. Can do more tweaks later. If I have time I will try to pull
together something to cover what we were discussing in #5480.
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https://api.github.com/repos/pandas-dev/pandas/issues/5515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5515/events | https://github.com/pandas-dev/pandas/issues/5515 | 22,668,048 | MDU6SXNzdWUyMjY2ODA0OA== | 5,515 | isnull silently changes the frequency of the datetime index of a dataframe | {
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If I have an index with freq=None isnull tries to infer the right frequency.
This is bad not only because one would expect that isnull does not modify the object in the call, but als... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5516/events | https://github.com/pandas-dev/pandas/issues/5516 | 22,679,806 | MDU6SXNzdWUyMjY3OTgwNg== | 5,516 | to_datetime() bug on the boundary of Timestamp.max | {
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import datetime
import pandas as pd
from pandas.tslib import Timestamp
Timestamp.max
```
> Timestamp('2262-04-11 23:47:16.854775807', tz=None)
```
date = datetime.date(2262, 4, 12)
pd.to_datetime(date)
```
> Timestamp('2262-04-11 00:25:26.290448384', tz=None)
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https://api.github.com/repos/pandas-dev/pandas/issues/5517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5517/events | https://github.com/pandas-dev/pandas/issues/5517 | 22,699,440 | MDU6SXNzdWUyMjY5OTQ0MA== | 5,517 | BUG: boxplot does not set limits of axis | {
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``` python
df = pd.DataFrame({'X': [1, 0, 1, 0],
'Y': [1, 0, 1, 0],
'Z': [1, 0, 1, 0],
#'M': [1, 0, 1, 0],
'B': list("XXYY")},
index=list("U... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5518 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5518/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5518/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5518/events | https://github.com/pandas-dev/pandas/pull/5518 | 22,704,950 | MDExOlB1bGxSZXF1ZXN0OTk4NDU3Ng== | 5,518 | PERF faster head, tail and size groupby methods | {
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To give some numbers, before the change is below the new:
```
In [1]: df = pd.DataFrame(np.random.randint(0, 100, 1000), columns=['A'], index=[0] * 1000); g = df.groupby('A')
In [2]: %timeit g.head(2)
1000 loops, best of 3: 429 µs per loop
#100 loops,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5519 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5519/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5519/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5519/events | https://github.com/pandas-dev/pandas/issues/5519 | 22,710,352 | MDU6SXNzdWUyMjcxMDM1Mg== | 5,519 | Series.weekday is totally undocumented | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5520 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5520/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5520/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5520/events | https://github.com/pandas-dev/pandas/pull/5520 | 22,722,803 | MDExOlB1bGxSZXF1ZXN0OTk5MzgwNQ== | 5,520 | Ensure that we can get a commit number from git | {
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in pandas 0.12
i found a little bug:
this:
_NA_VALUES = set(['-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN',
'#N/A N/A', 'NA', '#NA', 'NULL', 'NaN',
'nan', ''])
must be:
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https://api.github.com/repos/pandas-dev/pandas/issues/5522 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5522/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5522/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5522/events | https://github.com/pandas-dev/pandas/issues/5522 | 22,737,058 | MDU6SXNzdWUyMjczNzA1OA== | 5,522 | dramatic performance difference b/w DataFrame index.lexsort_depth and index.is_monotonic | {
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len(alphas.index.levels)
```
> 2
```
%time alphas.index.lexsort_depth
```
> CPU times: user 0.03 s, sys: 0.00 s, total: 0.03 s
> Wall time: 0.02 s
> 1
```
%time alphas.index.is_monotonic
```
> CPU times: user 10.22 s, sys: 0.00 s, total: 10.22 s
> Wall time: 10.22 s
> False
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https://api.github.com/repos/pandas-dev/pandas/issues/5523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5523/events | https://github.com/pandas-dev/pandas/issues/5523 | 22,740,521 | MDU6SXNzdWUyMjc0MDUyMQ== | 5,523 | Minor typo (release docs for 0.13.0) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5524/events | https://github.com/pandas-dev/pandas/pull/5524 | 22,742,730 | MDExOlB1bGxSZXF1ZXN0MTAwMDUyODA= | 5,524 | BUG/TST: Fixes isnull behavior on NaT in array. Closes #5443 | {
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"followers_url": "https://api.github.com/users/... | 22 | 2013-11-15T16:31:06Z | 2014-06-25T08:45:15Z | 2014-01-06T23:44:31Z | CONTRIBUTOR | null | I added a test case test_isnull_nat() to test_common.py and a check for NaT in lib.isnullobj. pd.isnull(np.array([pd.NaT])) now yields the correct results ([True]).
closes #5443
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https://api.github.com/repos/pandas-dev/pandas/issues/5525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5525/events | https://github.com/pandas-dev/pandas/pull/5525 | 22,754,246 | MDExOlB1bGxSZXF1ZXN0MTAwMTE4MTI= | 5,525 | StataWriter: Replace non-isalnum characters in variable names by _ inste... | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-11-15T19:43:26Z | 2014-07-09T17:56:15Z | 2013-12-04T13:02:57Z | CONTRIBUTOR | null | ...ad of integral represantation of replaced character. Eliminate duplicates created by replacement.
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https://api.github.com/repos/pandas-dev/pandas/issues/5526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5526/events | https://github.com/pandas-dev/pandas/issues/5526 | 22,756,084 | MDU6SXNzdWUyMjc1NjA4NA== | 5,526 | Example in 'Essential Basic Functionality' section of Docs incorrect | {
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The example in line [109](under) of this section does not produce the expected results, as the text indicates the goal of the exercise is to "extract the date where the maximum value for each column occurred". To do this we simply need:
tsdf.id... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5527/events | https://github.com/pandas-dev/pandas/issues/5527 | 22,766,407 | MDU6SXNzdWUyMjc2NjQwNw== | 5,527 | BUG: validate multi index names in HDFStore writing | {
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... | closed | false | null | [] | {
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store_id_map
```
> <class 'pandas.io.pytables.HDFStore'>
> File path: C:\output\identifier_map.h5
> /identifier_map frame_table (typ->appendable_multi,nrows->26779823,ncols->9,indexers->[index],dc->[RefIdentifierID])
```
store_id_map.select('identifier_map')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5528/events | https://github.com/pandas-dev/pandas/issues/5528 | 22,776,191 | MDU6SXNzdWUyMjc3NjE5MQ== | 5,528 | BUG: iloc getitem with DataFrame with MultiIndex | {
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import pandas as pd
import numpy as np
tup = zip(*[['a','a','b','b'],['x','y','x','y']])
index = pd.MultiIndex.from_tuples(tup)
df = pd.DataFrame(np.random.randn(4, 4), index=index)
df.iloc[[0, 1]]
```
This will raise:
```
ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'
```
I am using... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5529/events | https://github.com/pandas-dev/pandas/pull/5529 | 22,781,381 | MDExOlB1bGxSZXF1ZXN0MTAwMjU3ODk= | 5,529 | BUG: Bug in getitem with a multi-index and iloc (GH5528) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5530 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5530/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5530/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5530/events | https://github.com/pandas-dev/pandas/pull/5530 | 22,784,526 | MDExOlB1bGxSZXF1ZXN0MTAwMjY5NzU= | 5,530 | sphinxext py3 compatibility | {
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"labels_url": "htt... | 82 | 2013-11-16T20:43:28Z | 2014-06-12T19:56:32Z | 2014-01-30T10:49:25Z | CONTRIBUTOR | null | Temporary sphinxext py3 compatibility fix as discussed in #5479 before #5221 is resolved. So far test_docscrape.py passes on both Python 2.7 and 3.3 (which should be the typical developer interpreters).
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https://api.github.com/repos/pandas-dev/pandas/issues/5531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5531/events | https://github.com/pandas-dev/pandas/issues/5531 | 22,787,096 | MDU6SXNzdWUyMjc4NzA5Ng== | 5,531 | Join on Column Name not Working | {
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```
s1 = pd.DataFrame({
'Month':[pd.Timestamp('2010-05-01')],
'Baz':[100]},
index=[pd.Timestamp('2010-05-01')])
s2 = pd.DataFrame({
'Month':[pd.Timestamp('2010-05-01')],
'Foo':[100]})
```
and then I join:
```
In [58]: s1.join(s2, on="Month", rs... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5532/events | https://github.com/pandas-dev/pandas/issues/5532 | 22,787,398 | MDU6SXNzdWUyMjc4NzM5OA== | 5,532 | DataFrame.insert not working properly | {
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```
def get_month(x):
return x.replace(day=1)
p1 = pd.DataFrame({ 'Baz':[100]}, index=[pd.Timestamp('2010-05-13')])
p2 = p1.copy()
p2.insert(1, "Month", p1.reset_index()['index'].apply(get_month))
p2
Out[1]:
Baz Month
2010-05-13 100 NaT
```
the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5533 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5533/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5533/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5533/events | https://github.com/pandas-dev/pandas/pull/5533 | 22,791,286 | MDExOlB1bGxSZXF1ZXN0MTAwMjk1NDE= | 5,533 | PERF faster head, tail and size groupby methods | {
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Massive gains in groupby head and tail, adds more tests for these, slight speed improvement in size (not as much as I'd hoped, basically iterating through grouper.indices is slow :( ).
_As mentioned before, I added a helper function to prepend as_index to index (if that makes **any** sense), I t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5534 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5534/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5534/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5534/events | https://github.com/pandas-dev/pandas/pull/5534 | 22,794,329 | MDExOlB1bGxSZXF1ZXN0MTAwMzA3NDc= | 5,534 | ENH nlargest and nsmallest Series methods | {
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"followers_url": "https://api.github.com/users/jr... | 46 | 2013-11-17T10:10:29Z | 2014-06-16T20:51:36Z | 2014-05-13T14:29:21Z | CONTRIBUTOR | null | closes #3960.
_Implemented using kth_largest, could cython using better algo later._
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https://api.github.com/repos/pandas-dev/pandas/issues/5535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5535/events | https://github.com/pandas-dev/pandas/issues/5535 | 22,796,763 | MDU6SXNzdWUyMjc5Njc2Mw== | 5,535 | computation.tests.test_eval.TestScope.test_global_scope generates errors with numexpr engine and numpy 1.7.0 | {
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] | closed | false | null | [] | {
"closed_at": "2013-12-30T19:53:14Z",
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"created_at": "2012-11-15T23:33:37Z",
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-11-17T13:49:43Z | 2016-10-12T23:04:23Z | 2013-12-09T20:19:46Z | CONTRIBUTOR | null | ```
$ nosetests -v pandas.computation.tests.test_eval:TestScope.test_global_scope
pandas.computation.tests.test_eval.TestScope.test_global_scope('_var_s * 2', 'python', 'python') ... ok
pandas.computation.tests.test_eval.TestScope.test_global_scope('_var_s * 2', 'python', 'pandas') ... ok
pandas.computation.tests.test_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5536/events | https://github.com/pandas-dev/pandas/issues/5536 | 22,797,093 | MDU6SXNzdWUyMjc5NzA5Mw== | 5,536 | tools.tests.test_tile:TestCut.test_inf_handling generates error on FreeBSD | {
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] | closed | false | null | [] | null | 3 | 2013-11-17T14:15:24Z | 2013-11-30T21:36:00Z | 2013-11-30T21:34:06Z | CONTRIBUTOR | null | ```
$ nosetests -v pandas.tools.tests.test_tile:TestCut.test_inf_handling
test_inf_handling (pandas.tools.tests.test_tile.TestCut) ... ERROR
======================================================================
ERROR: test_inf_handling (pandas.tools.tests.test_tile.TestCut)
-------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5537/events | https://github.com/pandas-dev/pandas/issues/5537 | 22,797,158 | MDU6SXNzdWUyMjc5NzE1OA== | 5,537 | tools.tests.test_util:TestLocaleUtils.test_set_locale fails spuriously on FreeBSD | {
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$ nosetests pandas.tools.tests.test_util:TestLocaleUtils.test_set_locale
F
======================================================================
FAIL: test_set_locale (pandas.tools.tests.test_util.TestLocaleUtils)
----------------------------------------------------------------------
Traceback (most recent call la... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5538 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5538/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5538/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5538/events | https://github.com/pandas-dev/pandas/pull/5538 | 22,797,196 | MDExOlB1bGxSZXF1ZXN0MTAwMzE4MzQ= | 5,538 | TST: correctly predict locale setability | {
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```
locale.setlocale(locale.LC_ALL, ('it_CH', 'utf-8'))
```
succeeds, but
```
locale.setlocale(locale.LC_ALL, 'it_CH.utf-8')
```
throws locale.Error.
Closes #5537.
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https://api.github.com/repos/pandas-dev/pandas/issues/5539 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5539/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5539/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5539/events | https://github.com/pandas-dev/pandas/issues/5539 | 22,799,225 | MDU6SXNzdWUyMjc5OTIyNQ== | 5,539 | Regression: to_csv and multiindex columns with header kw | {
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"description": "__repr__ of pandas objec... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2013-11-17T16:35:39Z | 2017-11-05T04:36:52Z | 2017-11-05T04:36:52Z | CONTRIBUTOR | null | This used to work (October 2012), but doesn't anymore:
``` python
from pandas import DataFrame
import numpy as np
import StringIO
a = ["a","b","a","b","a","b","a","b","a","b","a","b"]
b = ["c","d","e","c","d","e","c","d","e","c","d","e"]
c = [1,2,3,4,5,6,7,8,9,10,11,12]
d = list(reversed(c))
df = DataFrame({"a":a, "b"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5540 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5540/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5540/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5540/events | https://github.com/pandas-dev/pandas/pull/5540 | 22,810,517 | MDExOlB1bGxSZXF1ZXN0MTAwMzYzMzg= | 5,540 | TST: fix cumcount test on 32-bit env | {
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```
======================================================================
FAIL: test_cumcount_empty (pandas.tests.test_groupby.TestGroupBy)
----------------------------------------------------------------------
Trace... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5541 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5541/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5541/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5541/events | https://github.com/pandas-dev/pandas/issues/5541 | 22,860,198 | MDU6SXNzdWUyMjg2MDE5OA== | 5,541 | Refactor DataFrame.replace to dispatch on types | {
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"f... | 9 | 2013-11-18T19:17:07Z | 2021-04-11T03:55:33Z | null | CONTRIBUTOR | null | I'm having trouble figuring out how DataFrame.replace() is supposed to work. I'm not sure if this is a bug or a documentation issue.
```
In [1]: import pandas
In [2]: df = pandas.DataFrame({"col1":range(5), "col2":[0.5]*3+[1.0]*2})
In [3]: df
Out[3]:
col1 col2
0 0 0.5
1 1 0.5
2 2 0.5
3 3 ... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-11-18T22:25:07Z | 2013-11-19T01:49:54Z | 2013-11-19T01:49:54Z | CONTRIBUTOR | null | I'm not sure whether `del someseries[something]` is supposed to work or not, although there is a `Series.__delitem__` method so maybe at some point it was. And `.drop()` seems to work, so it's not super-important. But ISTM users shouldn't see this:
```
>>> pd.__version__
'0.12.0-1114-g4d0632b'
>>> ser = pd.Series(ra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5543 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5543/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5543/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5543/events | https://github.com/pandas-dev/pandas/issues/5543 | 22,877,547 | MDU6SXNzdWUyMjg3NzU0Nw== | 5,543 | ENH: symmetric_difference for Index | {
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"labels_url": "htt... | 0 | 2013-11-18T23:49:12Z | 2014-02-17T17:46:58Z | 2014-02-17T17:46:58Z | CONTRIBUTOR | null | I've had to use this a few times, maybe some other people could use it too.
At least for unique indices, the symmetric difference should be equivalent to `(df1.index - df2.index).union(df2.index - df1.index)`. Example:
``` python
In [54]: df1 = pd.DataFrame([1,2,3,4], index=['a', 'b', 'c', 'd'])
In [55]: df1
Out[55]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5545 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5545/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5545/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5545/events | https://github.com/pandas-dev/pandas/issues/5545 | 22,888,658 | MDU6SXNzdWUyMjg4ODY1OA== | 5,545 | bug in groupby.apply?, goes away if I copy the data. | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-11-19T04:59:29Z | 2013-11-20T14:28:49Z | 2013-11-20T14:28:49Z | NONE | null | Tested pandas 0.11, and 0.12, both exhibit this problem
```
import pandas as pd
data = pd.DataFrame({'id_field' : [100, 100, 200, 300], 'category' : ['a','b','c','c'], 'value' : [1,2,3,4]})
def filt1(x):
if x.shape[0] == 1:
return x.copy()
else:
return x[x.category == 'c']
def filt2(x):
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https://api.github.com/repos/pandas-dev/pandas/issues/5546 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5546/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5546/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5546/events | https://github.com/pandas-dev/pandas/issues/5546 | 22,890,616 | MDU6SXNzdWUyMjg5MDYxNg== | 5,546 | tz_localize does not handle NaT | {
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"labels_url": "htt... | 0 | 2013-11-19T05:55:38Z | 2014-04-13T07:14:55Z | 2014-04-13T07:14:55Z | CONTRIBUTOR | null | `DatetimeIndex` correctly handles `NaT`:
```
In [2]: pd.DatetimeIndex([pd.NaT])
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
[NaT]
Length: 1, Freq: None, Timezone: None
```
But calling `tz_localize` leads to garbage:
```
In [1]: pd.DatetimeIndex([pd.NaT]).tz_localize('US/Pacific')
Out[1]:
<class 'pandas.ts... | {
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s = pd.Series( range(10), index = pd.PeriodIndex(start = '2013-10-1', end = '2013-10-10', freq = 'D'))
pd.rolling_median(s,5, min_periods = 1)
2013-10-01 0.0
2013-10-02 0.5
2013-10-03 1.0
2013-10-04 1.5
2013-10-05 2.0
2013-10-06 3.0
2013-10-07 4.0
2013-10-08 5.0
2013-10-09 6.0
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"followers_url": "https://api.github.com/users/wesm... | 59 | 2013-11-19T19:49:46Z | 2014-06-12T17:07:25Z | 2013-11-26T01:04:01Z | CONTRIBUTOR | null | As discussed in #4886, the HTML representation of DataFrames currently starts off as a table, but switches to the condensed info view if the table exceeds a certain size (by default, more than 60 rows or 20 columns). I've seen this confusing users, who think that they suddenly have a completely different kind of object... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5551 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5551/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5551/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5551/events | https://github.com/pandas-dev/pandas/issues/5551 | 22,949,847 | MDU6SXNzdWUyMjk0OTg0Nw== | 5,551 | 0.12: Strange Series.reindex() error | {
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I have a series res that is indexed by strings:
```
res.index.shape
```
> (2578L,)
```
res.head()
```
> stock_id
> 000312 -0.000198
> 00036110 0.000142
> 00101J10 -0.000229
> 00103110 -0.000170
> 00105510 -0.001236
> dtype: float64
I have a DataFrame test also indexed b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5552 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5552/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5552/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5552/events | https://github.com/pandas-dev/pandas/issues/5552 | 22,953,126 | MDU6SXNzdWUyMjk1MzEyNg== | 5,552 | nth groupby method on DataFrame | {
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"creator": null,
"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 14 | 2013-11-19T22:02:44Z | 2014-03-07T20:24:22Z | 2014-03-07T20:24:22Z | CONTRIBUTOR | null | The nth groupby method on a Series takes the nth **non-NaN** value in the Series.
This means on a DataFrame it's not going to be well defined...
Should we make this a Series only method?
```
In [1]: g = pd.DataFrame([['a'], ['a'], ['a'], ['b'], ['b'], ['a']],columns=['A']).groupby('A')
In [2]: g.nth(0)
Out[2]:
Em... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5553 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5553/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5553/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5553/events | https://github.com/pandas-dev/pandas/issues/5553 | 22,969,438 | MDU6SXNzdWUyMjk2OTQzOA== | 5,553 | BUG: segfault with .loc indexing | {
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You'll need to csv files:
https://www.dropbox.com/s/55gcpkp3b8byfka/df1.csv
https://www.dropbox.com/s/mqqhfgocdg4qggp/df2.csv
To reproduce:
``` python
In [1]: df1 = pd.read_csv('df1.csv', index_col=[0,1,2])
In [2]: df2 = pd.read_csv('df2.csv', index_col=[0,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5556 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5556/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5556/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5556/events | https://github.com/pandas-dev/pandas/issues/5556 | 23,001,906 | MDU6SXNzdWUyMzAwMTkwNg== | 5,556 | Panel.apply() still uses np.apply_along_axis, discarding the indices and labels | {
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] | closed | false | null | [] | null | 4 | 2013-11-20T16:17:56Z | 2014-01-04T18:04:18Z | 2013-11-20T16:23:45Z | CONTRIBUTOR | null | `Panel.apply(func, axis)` currently just pulls out `.values` and passes them to `numpy.apply_along_axis` -- which makes its utility questionable since all the indices and labels get lost in the process.
Wouldn't it make much more sense to pass DataFrames to the func and then try and recombine the result into either Se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5557 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5557/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5557/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5557/events | https://github.com/pandas-dev/pandas/issues/5557 | 23,015,054 | MDU6SXNzdWUyMzAxNTA1NA== | 5,557 | BUG: KeyErrors during value_counts | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-11-20T19:16:25Z | 2013-11-20T21:10:31Z | 2013-11-20T20:15:58Z | CONTRIBUTOR | null | I'm getting occasional KeyErrors during `.value_counts()` on trunk. It's pretty flaky, and this is the smallest example I had at hand (had one with only ~60 but lost it.)
```
>>> import pandas as pd
>>> print pd.__version__
0.12.0-1128-ge6aaf5e
>>>
>>> ser = {256: 2321.0, 1: 78.0, 2: 2716.0, 3: 0.0, 4: 369.0, 5: 0.0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5558 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5558/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5558/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5558/events | https://github.com/pandas-dev/pandas/pull/5558 | 23,018,920 | MDExOlB1bGxSZXF1ZXN0MTAxNDQwNTk= | 5,558 | BUG: repr of series fails repr in the presence of a Float64Index that is not monotonic (GH5557) | {
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```
In [4]: s.value_counts()
Out[4]:
0 85
70 3
78 3
2584 1
3001 1
734 1
163 1
3374 1
9643 1
42 1
8172 1
931 1
802 1
67744 1
2716 1
...
775 1
36605 1
1630 1
605 1
347 1
729 1
88 1
854 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5559 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5559/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5559/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5559/events | https://github.com/pandas-dev/pandas/pull/5559 | 23,024,391 | MDExOlB1bGxSZXF1ZXN0MTAxNDcxNTU= | 5,559 | DOC version added 0.13 to cumcount | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5560/events | https://github.com/pandas-dev/pandas/pull/5560 | 23,025,200 | MDExOlB1bGxSZXF1ZXN0MTAxNDc2MjQ= | 5,560 | DOC: styling clean-up of docstrings (part 1, frame.py) | {
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Things changed are mainly:
- missing spaces aroung the `:` in `param : type`
- explanation of param on second line (instead of on the same line -> there should be the type info)
- add bullets to enumerations of possible values of a keyword (so they are rendered as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5561/events | https://github.com/pandas-dev/pandas/issues/5561 | 23,025,465 | MDU6SXNzdWUyMzAyNTQ2NQ== | 5,561 | CI: build pandas on windows (appveyor) | {
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"followers_url": "https://api.github.com/users/jr... | 13 | 2013-11-20T21:29:00Z | 2015-12-16T01:01:04Z | 2014-10-07T21:52:42Z | CONTRIBUTOR | null | Here is a collection of build scripts/tools for windows:
a nice conda recipe:
https://github.com/rmcgibbo/python-appveyor-conda-example/blob/master/appveyor.yml
https://github.com/pydata/pandas/tree/master/scripts/windows_builder
I have found many confusing explanations/suggestion on the web on how to build python ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5562/events | https://github.com/pandas-dev/pandas/issues/5562 | 23,030,214 | MDU6SXNzdWUyMzAzMDIxNA== | 5,562 | HTML repr for empty dataframes is ugly | {
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related #6062
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https://api.github.com/repos/pandas-dev/pandas/issues/5563 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5563/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5563/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5563/events | https://github.com/pandas-dev/pandas/issues/5563 | 23,030,531 | MDU6SXNzdWUyMzAzMDUzMQ== | 5,563 | Series do not display HTML repr | {
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In any case it looks strange when in ipnb:
related to #5550, making reprs consistent.
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https://api.github.com/repos/pandas-dev/pandas/issues/5564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5564/events | https://github.com/pandas-dev/pandas/pull/5564 | 23,064,271 | MDExOlB1bGxSZXF1ZXN0MTAxNjgyODI= | 5,564 | ENH: Add wide_to_long convenience function | {
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I thought I submitted this PR long ago.
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https://api.github.com/repos/pandas-dev/pandas/issues/5565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5565/events | https://github.com/pandas-dev/pandas/pull/5565 | 23,065,949 | MDExOlB1bGxSZXF1ZXN0MTAxNjkyODk= | 5,565 | ENH: short-circuit config lookup when exact key given GH5147 | {
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before
```
In [4]: %timeit -r 10 pd.get_option("display.max_rows")
10000 loops, best of 10: 53.3 us per loop
```
after
```
In [1]: %timeit -r 10 pd.get_option("display.max_rows")
100000 loops, best of 10: 5.5 us per loop
```
jeff's version with no error checking or rerouting deprecated keys
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https://api.github.com/repos/pandas-dev/pandas/issues/5566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5566/events | https://github.com/pandas-dev/pandas/pull/5566 | 23,069,433 | MDExOlB1bGxSZXF1ZXN0MTAxNzEyODM= | 5,566 | TST/API/BUG: resolve scoping issues in pytables query where rhs is a compound selection or scoped variable | {
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example reproduced here:
http://stackoverflow.com/questions/20111542/selecting-rows-from-an-hdfstore-given-list-of-indexes
```
In [5]: parms = DataFrame({ 'A' : [1,1,2,2,3] })
In [6]: parms
Out[6]:
A
0 1
1 1
2 2
3 2
4 3
In [7]: pa... | {
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"labels_url": "htt... | 13 | 2013-11-21T16:11:23Z | 2014-02-16T14:05:32Z | 2014-02-16T00:41:29Z | CONTRIBUTOR | null | Series xs when presented with a multi-index should use the data frame logic (whereby it can use the levels to avoid having to scan the entire set). Need to move the logic of `xs` to `core/generic.py` so both Series/Frame can use it.
---
I stumbled on a weird issue.
The first time I access a series location with ix I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5568/events | https://github.com/pandas-dev/pandas/pull/5568 | 23,099,830 | MDExOlB1bGxSZXF1ZXN0MTAxODg3MDE= | 5,568 | PERF: slow conversion of single series to data frame | {
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-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
frame_from_series | 0.1043 | 17.8473 | 0.00... | {
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"followers_url": "https://api.github.com/users/jr... | 10 | 2013-11-22T05:17:44Z | 2021-02-02T06:27:18Z | 2014-06-17T12:01:37Z | CONTRIBUTOR | null | I find it highly valuable to also receive the information how many NaN values are in my Series.
Could we have an option in value_counts(), maybe `include_nans=True` that would add a count for those in the output of it?
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https://api.github.com/repos/pandas-dev/pandas/issues/5570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5570/events | https://github.com/pandas-dev/pandas/issues/5570 | 23,140,123 | MDU6SXNzdWUyMzE0MDEyMw== | 5,570 | Pandas sometimes converts multi-indexes to indexes when indexing with all elements | {
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I create a DataFrame with a MultiIndex
``` Python
>>> h = pd.DataFrame([{'a':1, 'b':1, 'c':1}, {'a':1, 'b':2, 'c':1}])
>>> h.set_index(['a', 'b'], inplace=True)
```
If I take a list of elements (here only a list with one) of a column, I get back a Series with a MultiIndex:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5571/events | https://github.com/pandas-dev/pandas/issues/5571 | 23,157,350 | MDU6SXNzdWUyMzE1NzM1MA== | 5,571 | Should Series.__contains__ look at indexes or values? | {
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"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 4 | 2013-11-22T18:23:36Z | 2014-03-19T23:16:04Z | 2014-03-19T23:16:04Z | CONTRIBUTOR | null | When writing this SO answer, I came upon this behavior, which I did not expect.
```
In [1]: 1 in Series([1])
Out[1]: False
In [2]: 1 in Series([1, 2])
Out[2]: True
```
Apparently, `__contains__` looks at the index.
```
In [3]: 1 in Series([1], index=[1])
Out[3]: True
```
I can see how that makes sense. But I think... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5572 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5572/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5572/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5572/events | https://github.com/pandas-dev/pandas/issues/5572 | 23,165,519 | MDU6SXNzdWUyMzE2NTUxOQ== | 5,572 | Read_csv() expects wrong number of columns | {
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"ValueError: Expecting 23 columns, got 26 in row 64"
The dump is below
In [3]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5573 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5573/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5573/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5573/events | https://github.com/pandas-dev/pandas/pull/5573 | 23,169,897 | MDExOlB1bGxSZXF1ZXN0MTAyMjY0Njk= | 5,573 | DOC/TST: Series.reorder_levels() can take names; added tests | {
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``` python
In [18]: res.head()
Out[18]:
same_employer stamp
-3 1996-02-01 2
-2 1996-01-01 1
1996-02-01 1
1996-03-01 4
1 1996... | {
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I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5576/events | https://github.com/pandas-dev/pandas/issues/5576 | 23,179,832 | MDU6SXNzdWUyMzE3OTgzMg== | 5,576 | Add gmean and hmean to Pandas | {
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] | closed | false | null | [] | null | 7 | 2013-11-23T02:25:17Z | 2019-11-05T16:54:45Z | 2013-12-05T23:41:43Z | CONTRIBUTOR | null | Currently pandas has the regular `mean` that can be called on a `DataFrame` or a `Series`, but does not have `gmean` or `hmean`:
http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.mstats.gmean.html
http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.mstats.hmean.html
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https://api.github.com/repos/pandas-dev/pandas/issues/5577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5577/events | https://github.com/pandas-dev/pandas/issues/5577 | 23,180,698 | MDU6SXNzdWUyMzE4MDY5OA== | 5,577 | ma.mrecords not found | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-11-23T03:27:08Z | 2013-11-24T01:08:16Z | 2013-11-24T01:08:16Z | CONTRIBUTOR | null | Running into the issue below with pandas master and numpy compiled from 1.8.x maintenance branch. If i do "import numpy.ma.mrecords" in ipython and try again, then creating the DataFrame works fine. Maybe the best thing to do is to add "import numpy.ma.mrecords" in core/frame.py?
```
import numpy.ma as ma
import pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5578 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5578/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5578/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5578/events | https://github.com/pandas-dev/pandas/issues/5578 | 23,189,867 | MDU6SXNzdWUyMzE4OTg2Nw== | 5,578 | Add log return version of pct_change | {
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`log_return` would work as: `log(x_t/x_{t-period})`
These two values are approximately equal for small values of `x_t/x_{t-period}`.
The log return version tends to be used in finance more often than the pct_change.
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https://api.github.com/repos/pandas-dev/pandas/issues/5579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5579/events | https://github.com/pandas-dev/pandas/pull/5579 | 23,192,268 | MDExOlB1bGxSZXF1ZXN0MTAyMzcwNzY= | 5,579 | BUG: Add separate import for numpy.ma.mrecords (GH5577) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5580/events | https://github.com/pandas-dev/pandas/issues/5580 | 23,201,637 | MDU6SXNzdWUyMzIwMTYzNw== | 5,580 | Pandas Series doesn't display table as HTML in IPython notebook | {
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(I'm using 0.12 version)
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https://api.github.com/repos/pandas-dev/pandas/issues/5581 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5581/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5581/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5581/events | https://github.com/pandas-dev/pandas/pull/5581 | 23,213,169 | MDExOlB1bGxSZXF1ZXN0MTAyNDQ4Nzg= | 5,581 | CLN/BUG: Fix stacklevel on setting with copy warning. | {
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Put the following in a file called `test.py`.
``` python
from pandas import DataFrame
def myfunction():
df = DataFrame({"A": [1, 2, 3, 4, 5], "B": ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5582 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5582/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5582/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5582/events | https://github.com/pandas-dev/pandas/issues/5582 | 23,222,822 | MDU6SXNzdWUyMzIyMjgyMg== | 5,582 | possible easier dataframe/series selection | {
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"gi... | [] | closed | false | null | [] | null | 2 | 2013-11-25T05:20:36Z | 2014-01-23T21:14:10Z | 2014-01-23T21:14:10Z | NONE | null | I believe lots of pandas users need to do lots of selection/slicing. The existing methods are flexible, such as iloc, loc, ix, ["columnname"].
In practice, I found it is not convenient to do complex selection. For example:
Frame.ix((Frame["ColumnName"]=="MatchValue") & (Frame["AnotherColumn"]=="AnotherMatch"), ["Sele... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5583 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5583/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5583/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5583/events | https://github.com/pandas-dev/pandas/pull/5583 | 23,240,129 | MDExOlB1bGxSZXF1ZXN0MTAyNTgxODg= | 5,583 | ENH: Excel writer takes locale setting for date and datetime into account | {
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"followers_url": "https://api.github.com/users/... | 20 | 2013-11-25T12:45:46Z | 2014-06-27T10:05:29Z | 2014-01-26T18:58:10Z | CONTRIBUTOR | null | closes #4133
Based on the locale setting the date and datetime values are formatted in
excel exports. Moreover the this behaviour can be overruled by keyword
arguments. Old behavior can be enforced by
ExcelWriter(file, date_format='YYYY-MM-DD', datetime_format='YYYY-MM-DD HH:MM:SS')
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https://api.github.com/repos/pandas-dev/pandas/issues/5584 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5584/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5584/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5584/events | https://github.com/pandas-dev/pandas/pull/5584 | 23,244,402 | MDExOlB1bGxSZXF1ZXN0MTAyNjA1OTA= | 5,584 | BUG/TST: reset setitem_copy on object enlargement | {
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closes #5597
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https://api.github.com/repos/pandas-dev/pandas/issues/5585 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5585/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5585/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5585/events | https://github.com/pandas-dev/pandas/issues/5585 | 23,252,954 | MDU6SXNzdWUyMzI1Mjk1NA== | 5,585 | Concatenation can fail when indexes use nanoseconds and tseries.index.union_many is called | {
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```
def thisFails():
# May be related to https://github.com/pydata/pandas/issues/1238
timeStep = np.timedelta64( 1, 'ns' )
t0 = np.datetime64( datetime.datetime.now() )
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5586 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5586/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5586/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5586/events | https://github.com/pandas-dev/pandas/issues/5586 | 23,256,885 | MDU6SXNzdWUyMzI1Njg4NQ== | 5,586 | resample with numpy.product gives unexpected results | {
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"followers_url": "https://api.github.com/users/wesm... | 12 | 2013-11-25T17:04:46Z | 2019-12-26T00:25:34Z | 2019-12-26T00:25:34Z | CONTRIBUTOR | null | ```
import datetime
import numpy
import pandas
index = pandas.DatetimeIndex(start=datetime.date(2012, 1, 31), freq='M', periods=12)
ts = pandas.Series(range(12), index=index)
df = pandas.DataFrame(dict(A=ts, B=ts+2))
print df
# Correct
print df.resample('M', how=numpy.sum)
# Incorrect
print df.resample('M', how=num... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5587 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5587/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5587/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5587/events | https://github.com/pandas-dev/pandas/pull/5587 | 23,265,185 | MDExOlB1bGxSZXF1ZXN0MTAyNzE3OTU= | 5,587 | Fix typo | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5588 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5588/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5588/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5588/events | https://github.com/pandas-dev/pandas/issues/5588 | 23,299,682 | MDU6SXNzdWUyMzI5OTY4Mg== | 5,588 | be80898 breaks display of large dataframes in IPython notebooks | {
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``` python
df
<class 'pandas.core.frame.DataFrame'>
Int64Index: 10718114 entries, 0 to 10718113
Columns: 20 entries, classification_id to spread
dtypes: datetime64[ns](2), float64(11), object(7)
```
In be80898, the notebook gets stuck and CPU is boiling and nothing... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5589 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5589/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5589/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5589/events | https://github.com/pandas-dev/pandas/pull/5589 | 23,311,522 | MDExOlB1bGxSZXF1ZXN0MTAyOTY5MTM= | 5,589 | BUG: to_html doesn't truncate index to max_rows before formatting | {
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#5588
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https://api.github.com/repos/pandas-dev/pandas/issues/5590 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5590/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5590/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5590/events | https://github.com/pandas-dev/pandas/pull/5590 | 23,316,020 | MDExOlB1bGxSZXF1ZXN0MTAyOTk0Mzg= | 5,590 | PERF: perf enhancements in indexing/query/eval | {
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```
In [1]: N = 1000000
In [2]: df = DataFrame({'a': np.random.randn(N)})
In [3]: min_val = df['a'].min()
In [4]: max_val = df['a'].max()
```
current master: 66980c68d188842b1c4d80d3508f539baab3cbe8
```
In [5]: %timeit df.query('(a >= min_val) & (a <... | {
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"creator": null,
"description": "2014-02-3: previous version released",
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---
I may well be missing something, but the following behavior seems unexpected:
"""
In [58]: 5 in pd.Series([1.5, 2.5, 3.5])
Out[58]: False
In [59]: 5.0 in pd.Series([1.5, 2.5, 3.5])... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5592 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5592/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5592/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5592/events | https://github.com/pandas-dev/pandas/issues/5592 | 23,336,324 | MDU6SXNzdWUyMzMzNjMyNA== | 5,592 | BUG/API: inconsistent results in a groupby-apply when mix of scalar/Series are returned | {
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"followers_url": "https://api.github.com/users/wesm... | 8 | 2013-11-26T18:41:04Z | 2014-06-05T17:19:54Z | 2013-11-26T19:49:55Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/20224564/how-does-pandas-grouped-apply-decide-on-output-and-why-does-this-depend-on-w/20225276#20225276
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https://api.github.com/repos/pandas-dev/pandas/issues/5593 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5593/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5593/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5593/events | https://github.com/pandas-dev/pandas/pull/5593 | 23,340,488 | MDExOlB1bGxSZXF1ZXN0MTAzMTE3ODY= | 5,593 | BUG: Bug in groupby returning non-consistent types when user function returns a None, (GH5992) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5594/events | https://github.com/pandas-dev/pandas/pull/5594 | 23,355,872 | MDExOlB1bGxSZXF1ZXN0MTAzMjAzNjc= | 5,594 | Add image for whatsnew docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5595/events | https://github.com/pandas-dev/pandas/issues/5595 | 23,367,540 | MDU6SXNzdWUyMzM2NzU0MA== | 5,595 | Test failures on windows | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-11-27T05:09:57Z | 2013-11-27T13:28:17Z | 2013-11-27T13:28:17Z | CONTRIBUTOR | null | The included error message is on 32-bit windows for python 2.6 but it's the same for 64-bit (waiting for other python versions to finish)
this is a blocker for 0.13 rc1
```
======================================================================
FAIL: test_groupby_return_type (pandas.tests.test_groupby.TestGroupBy)
---... | {
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] | closed | false | null | [] | null | 7 | 2013-11-27T09:44:38Z | 2013-11-27T16:13:57Z | 2013-11-27T16:13:49Z | NONE | null | I'm using pandas 0.12.0 and having issue with accessing hierarchically indexed data frame elements using the ix. As a note, the issue is coming only when I have datetime objects in level 0 of hierarchical index.
arrays = [date_range('2013-11-15', periods=4).repeat(2),
['one', 'two', 'one', 'two', 'one', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5597 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5597/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5597/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5597/events | https://github.com/pandas-dev/pandas/issues/5597 | 23,379,811 | MDU6SXNzdWUyMzM3OTgxMQ== | 5,597 | spurious SettingWithCopyWarning | {
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```
import pandas as pd
from pandas.core.common import SettingWithCopyWarning
from string import letters
import warnings
warnings... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5599 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5599/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5599/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5599/events | https://github.com/pandas-dev/pandas/pull/5599 | 23,396,038 | MDExOlB1bGxSZXF1ZXN0MTAzNDI4OTc= | 5,599 | DOC: limit code snippet output to max_rows=15 | {
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"followers_url": "https://api.github.com/users/wesm... | 0 | 2013-11-27T16:03:07Z | 2014-07-16T08:41:43Z | 2013-11-27T16:03:16Z | NONE | null | Most noticable in timeseries chapter.
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https://api.github.com/repos/pandas-dev/pandas/issues/5600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5600/events | https://github.com/pandas-dev/pandas/pull/5600 | 23,403,382 | MDExOlB1bGxSZXF1ZXN0MTAzNDcwNDU= | 5,600 | BUG: replace with a scalar works like a list of to_replace for compat with 0.12 (GH5319) | {
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"gists_url": "https://... | [] | closed | false | null | [] | {
"closed_at": "2013-12-30T19:53:14Z",
"closed_issues": 1076,
"created_at": "2012-11-15T23:33:37Z",
"creator": {
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"events_url": "https://api.github.com/users/wesm/events{/privacy}",
"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-11-27T17:50:11Z | 2014-06-14T11:01:36Z | 2013-12-01T20:00:10Z | CONTRIBUTOR | null | closes #5319
Essentitally this is `ffill`
```
In [1]: Series([1,np.nan,2]).replace([np.nan])
Out[1]:
0 1
1 1
2 2
dtype: float64
In [2]: Series([1,np.nan,2]).replace(np.nan)
Out[2]:
0 1
1 1
2 2
dtype: float64
```
A bit confusing on a Frame, so raise an error
```
In [3]: DataFrame(randn(5,2)).rep... | {
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} |
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