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https://api.github.com/repos/pandas-dev/pandas/issues/5901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5901/events | https://github.com/pandas-dev/pandas/issues/5901 | 25,409,549 | MDU6SXNzdWUyNTQwOTU0OQ== | 5,901 | Nested groupby using sum of columns changes return type unexpectedly in 0.13.0-111-ge29c8e8 | {
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With some DataFrame in python 0.12.0 I could group by timestamp and another column using the following:
``` python
mydf.set_index('timestamp').sort_index().groupby(pandas.T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5902/events | https://github.com/pandas-dev/pandas/issues/5902 | 25,411,481 | MDU6SXNzdWUyNTQxMTQ4MQ== | 5,902 | PERF: Load data (create Series, Dataframe) in a more functional way. | {
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"f... | 21 | 2014-01-10T18:03:27Z | 2016-08-09T21:34:37Z | 2016-06-07T12:37:09Z | CONTRIBUTOR | null | I've been trying to find out the process of creating DataFrames in order to try to solve #2305 with minimal memory use. I've made some tests that put in a IPython notebook: http://nbviewer.ipython.org/gist/tinproject/7d0e0de9475b16910fcf
Currently when reads from a generator pandas internally allocate the whole genera... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5903/events | https://github.com/pandas-dev/pandas/pull/5903 | 25,425,040 | MDExOlB1bGxSZXF1ZXN0MTE0MTc5MjA= | 5,903 | DOC: remove usage of code-block directive in docstrings + fix some warnings | {
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- remove remaining use of `code-block`, closes #3430 (@y-p, I think that were the last ones, so now it can be really closed)
- fix some headers to avoid useless warnings during doc build (if the line under the header is not as long as the header itself, sphinx complains about it although it renders fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5904/events | https://github.com/pandas-dev/pandas/issues/5904 | 25,437,948 | MDU6SXNzdWUyNTQzNzk0OA== | 5,904 | Suggestion: Warning for DataFrame colname-methodname clash | {
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As you know, in that case I can not do Dataframe.name to access the column but instead I get a method pointer.
But if I'm unaware (or it's late and I forgot.. ;) ) that a method with that ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5905/events | https://github.com/pandas-dev/pandas/issues/5905 | 25,444,644 | MDU6SXNzdWUyNTQ0NDY0NA== | 5,905 | BUG: fully reindexing panel is incorrect when missing items | {
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IOW, this should have a `nan` frame for 'Item2'
```
In [1]: df = DataFrame(np.random.randn(4,3))
[4]: p = Panel({ 'Item1' : df })
In [12]: p['Item2'] = np.nan
In [13]: p
Out[13]:
<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 4 (ma... | {
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MAINT: Fixed some typos
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... | 2 | 2014-01-11T17:54:23Z | 2018-07-06T22:50:12Z | 2018-07-06T22:50:12Z | CONTRIBUTOR | null | This came up in https://github.com/pydata/pandas/issues/5264, especially [here](https://github.com/pydata/pandas/issues/5264#issuecomment-30571813), [here](https://github.com/pydata/pandas/issues/5264#issuecomment-32101503), and this [SO post](http://stackoverflow.com/questions/21057397/possible-bug-in-pandas-groupby-a... | {
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... | 11 | 2014-01-11T20:25:12Z | 2021-04-11T04:06:19Z | null | NONE | null | Unless I'm missing something, there's no DataFrame method analogous to set_index() for setting column values. One can directly manipulate the .columns attribute of the DF, but it's often convenient to be able to alter columns in-line after some other operation--e.g.,
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https://api.github.com/repos/pandas-dev/pandas/issues/5911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5911/events | https://github.com/pandas-dev/pandas/pull/5911 | 25,455,781 | MDExOlB1bGxSZXF1ZXN0MTE0MzIxMjY= | 5,911 | BUG: dt+BDay(n) wrong if n>5, n%5==0 and dt not on offset (GH5890) | {
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"followers_url": "https://api.github.com/users/... | 8 | 2014-01-12T03:01:12Z | 2014-06-25T21:56:45Z | 2014-01-13T16:18:13Z | CONTRIBUTOR | null | closes #5890
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https://api.github.com/repos/pandas-dev/pandas/issues/5912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5912/events | https://github.com/pandas-dev/pandas/issues/5912 | 25,469,749 | MDU6SXNzdWUyNTQ2OTc0OQ== | 5,912 | string-representation for Timestamp does not show nanoseconds if present | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-12T21:00:26Z | 2014-01-15T02:57:34Z | 2014-01-15T02:57:34Z | CONTRIBUTOR | null | See:
```
In [27]: str(pd.Timestamp(200))
Out[27]: '1970-01-01 00:00:00'
In [28]: repr(pd.Timestamp(200))
Out[28]: "Timestamp('1970-01-01 00:00:00.000000200', tz=None)"
```
whereas microseconds work fine:
```
In [30]: str(pd.Timestamp(2000))
Out[30]: '1970-01-01 00:00:00.000002'
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5913/events | https://github.com/pandas-dev/pandas/issues/5913 | 25,471,261 | MDU6SXNzdWUyNTQ3MTI2MQ== | 5,913 | HDF5 Select with Filter gives incorrect results when using Iteration | {
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... | closed | false | null | [] | {
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Hi,
I have a dataframe saved in HDF5 with 6.7 million records (about 425MB). As you can see below, it gives an incorrect result when it has to do multiple iterations (which is a serious issue for me actually). ->
```
# prepare
fact_hdf = pd.HDFStore('iter... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5914/events | https://github.com/pandas-dev/pandas/issues/5914 | 25,473,496 | MDU6SXNzdWUyNTQ3MzQ5Ng== | 5,914 | Float Index Interpreted as Object dtype | {
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"followers_url": "https://api.github.com/users/... | 4 | 2014-01-13T00:36:27Z | 2014-01-13T13:16:33Z | 2014-01-13T13:16:06Z | CONTRIBUTOR | null | When I cast a FloatIndex to a numpy array, I get an array of objects. The desired behavior should be float. This is backwards incompatible with pre-FloatIndex behavior.
``` python
In [119]: s = pd.Series([1,2,3],[1.,2.,3.])
array(s.index).dtype
Out[119]: dtype('O')
```
The Int64Index works as e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5915/events | https://github.com/pandas-dev/pandas/issues/5915 | 25,474,844 | MDU6SXNzdWUyNTQ3NDg0NA== | 5,915 | Problem exporting dataframe to csv using to_csv() with data frames containing strings with accents (\xc9) | {
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] | closed | false | null | [] | null | 2 | 2014-01-13T02:00:48Z | 2014-01-13T19:52:15Z | 2014-01-13T19:50:11Z | NONE | null | Pandas' to_csv() method produces an error when strings in my data frame contain \xc9 accents. Any idea how I can quickly solve this?
Thanks
UnicodeEncodeError Traceback (most recent call last) /Users/slegroux1/Projects/FeaturEmo/en_features.py in () 360 print "----- No plot. Corresponding features are missing." 361 i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5916/events | https://github.com/pandas-dev/pandas/pull/5916 | 25,480,760 | MDExOlB1bGxSZXF1ZXN0MTE0NDI0MjU= | 5,916 | BLD: consider version tags only when using git-describe to gen version string | {
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In other clones, this may not be the case. Specifically, jenkins
sometimes likes to tags each build which can wreak [havoc](http://pandas.pydata.org/pandas-build/dev/) when
using git-describe naively to generate version strings.
git allows you to filter the tags to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5917/events | https://github.com/pandas-dev/pandas/issues/5917 | 25,491,378 | MDU6SXNzdWUyNTQ5MTM3OA== | 5,917 | dayfirst non working when constructing a pd.DatetimeIndex with an array | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5918/events | https://github.com/pandas-dev/pandas/pull/5918 | 25,495,161 | MDExOlB1bGxSZXF1ZXN0MTE0NDk5NjM= | 5,918 | BUG: Bug in idxmin/max with object dtypes (GH5914) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5919/events | https://github.com/pandas-dev/pandas/issues/5919 | 25,496,034 | MDU6SXNzdWUyNTQ5NjAzNA== | 5,919 | Hive/Hadoop support in pandas | {
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] | closed | false | null | [] | null | 4 | 2014-01-13T13:14:51Z | 2017-03-15T06:44:20Z | 2014-01-13T21:16:49Z | NONE | null | Please add hive (Hadoop Hive Server 2) support into Pandas.
There is an example package: https://github.com/BradRuderman/pyhs2
I fixed a bug in it here: https://github.com/rzykov/pyhs2
See below a working example for pandas:
``` python
import pyhs2
import pandas as pd;
query = """select * from crosssell where sitei... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5920/events | https://github.com/pandas-dev/pandas/issues/5920 | 25,508,567 | MDU6SXNzdWUyNTUwODU2Nw== | 5,920 | API: deprecate HDFStore.unique entirely | {
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/home/user1/src/pandas/pandas/io/pytables.py:658: FutureWarning: unique(key,column) is deprecated
use select_column(key,column).unique() instead
FutureWarning)
```
@jreback, any issues with making the change?
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https://api.github.com/repos/pandas-dev/pandas/issues/5921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5921/events | https://github.com/pandas-dev/pandas/pull/5921 | 25,508,968 | MDExOlB1bGxSZXF1ZXN0MTE0NTc3NTQ= | 5,921 | Fixes to docs, eliminate scikits.timeseries docs dep, sphinx 1.2, update copyright years | {
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closes #5899, following @jorisvandenbossche's advice
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https://api.github.com/repos/pandas-dev/pandas/issues/5922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5922/events | https://github.com/pandas-dev/pandas/issues/5922 | 25,515,026 | MDU6SXNzdWUyNTUxNTAyNg== | 5,922 | Latest ipython master complains of exceptions in df._repr_html_ | {
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`df.repr_html` currently raises `ValueError`. if IPython agree to the
proposed behaviour, we'll change it to `NotImplementedError` to restore things to normal.
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https://api.github.com/repos/pandas-dev/pandas/issues/5923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5923/events | https://github.com/pandas-dev/pandas/issues/5923 | 25,515,982 | MDU6SXNzdWUyNTUxNTk4Mg== | 5,923 | API: create option to allow pandas to patch pickle.load/loads at runtime for compat | {
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maybe `io.pickle.compat = 'global/local``
where we only allow local changes to the UnPickler.
This is not destructive, just 'bad practive', but weighing against more usability
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https://api.github.com/repos/pandas-dev/pandas/issues/5924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5924/events | https://github.com/pandas-dev/pandas/issues/5924 | 25,516,026 | MDU6SXNzdWUyNTUxNjAyNg== | 5,924 | API: allow read_pickle to read from strings (and not just files) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5925/events | https://github.com/pandas-dev/pandas/pull/5925 | 25,516,309 | MDExOlB1bGxSZXF1ZXN0MTE0NjE5NjY= | 5,925 | Rebase ipython_directive on top of recent ipython updated version | {
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We'd prefer to get rid of the duplication, but we have some tweaks in place
which ipython does not.
I rebased everythingon top of ipython to generae a clean diff, if they pick it up
we can make the transition, otherwise we synched for now.
cc @takluyver, if you're interes... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5926/events | https://github.com/pandas-dev/pandas/pull/5926 | 25,517,254 | MDExOlB1bGxSZXF1ZXN0MTE0NjI0ODQ= | 5,926 | DOC: make io.rst utf8 only | {
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@JanSchulz , can you test whether this solves the problem for you?
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https://api.github.com/repos/pandas-dev/pandas/issues/5927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5927/events | https://github.com/pandas-dev/pandas/issues/5927 | 25,520,147 | MDU6SXNzdWUyNTUyMDE0Nw== | 5,927 | PERF: resample with max/min taking slow path | {
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In [21]: df = DataFrame(np.random.randn(100000,2),index=date_range('20130101',periods=100000,freq='50L'))
In [19]: %timeit df.resample('1s',how=np.max)[0]
1 loops, best of 3: 902 ms per loop
```
mean is ok
```
In [22]: %timeit df.resample('1s',how=np.mean)[0]
100 loops, best of 3: 2.42 ms per loop
```
The way t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5928/events | https://github.com/pandas-dev/pandas/issues/5928 | 25,533,548 | MDU6SXNzdWUyNTUzMzU0OA== | 5,928 | Assignment using .ix[] raises ValueError | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-13T22:21:55Z | 2014-01-14T03:05:23Z | 2014-01-14T00:24:21Z | CONTRIBUTOR | null | This works with `0.12` but not with master:
``` python
In [8]: import pandas as pd
In [10]: x = pd.DataFrame({'a': [1, 2, 3]})
In [13]: x['a'].ix[[0, 1, 2]] = -x['a'].ix[[0, 1, 2]]
---------------------------------------------------------------------------
ValueError Traceback (most rece... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5929/events | https://github.com/pandas-dev/pandas/pull/5929 | 25,533,817 | MDExOlB1bGxSZXF1ZXN0MTE0NzE4MDY= | 5,929 | Tutorials | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5930/events | https://github.com/pandas-dev/pandas/pull/5930 | 25,537,103 | MDExOlB1bGxSZXF1ZXN0MTE0NzM4MjY= | 5,930 | BUG: bug in chained assignment with ix and another chained series (GH5928) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5931/events | https://github.com/pandas-dev/pandas/issues/5931 | 25,554,031 | MDU6SXNzdWUyNTU1NDAzMQ== | 5,931 | time series indexing KeyError on non-monotonic index | {
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"followers_url": "https://api.github.com/users/jr... | 15 | 2014-01-14T05:38:28Z | 2015-03-03T01:54:06Z | 2015-03-03T01:54:06Z | CONTRIBUTOR | null | I just stumbled over time series indexing with a non-monotonic time series that came about because I concatenated data that should not have existed even. (JPL just got a bug report. ;)
So, if I have a dataframe like this, with the index clearly out of order:
``` python
0 1 2
2011-07-19 10:00:01.824000 -0.071762 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5932/events | https://github.com/pandas-dev/pandas/issues/5932 | 25,560,807 | MDU6SXNzdWUyNTU2MDgwNw== | 5,932 | BUG: Copying an empty DataFrame with index results in a broken BlockManager | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-14T09:05:22Z | 2014-01-14T13:45:46Z | 2014-01-14T13:45:01Z | CONTRIBUTOR | null | The following line illustrates the problem:
```
df = pd.DataFrame(index=[0]).copy()
df["a"] = 0
```
This results in an `AttributeError` since the function `BlockManager.make_empty` initialises `df._data.blocks` with a numpy array object instead of an empty list. Thus subsequent calls to `blocks.pop` and `blocks.appen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5933/events | https://github.com/pandas-dev/pandas/issues/5933 | 25,562,783 | MDU6SXNzdWUyNTU2Mjc4Mw== | 5,933 | DOC: error 'being used by another process' when removing temp files on Windows | {
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"f... | 9 | 2014-01-14T09:49:12Z | 2021-04-11T04:08:00Z | null | MEMBER | null | When building the docs on Windows, I get some errors related to the removal of temporary files. For example, for building io.rst:
```
reading sources... [100%] io
---------------------------------------------------------------------------
WindowsError Traceback (most recent call last)
<ipy... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5934/events | https://github.com/pandas-dev/pandas/issues/5934 | 25,564,364 | MDU6SXNzdWUyNTU2NDM2NA== | 5,934 | DOC: easing building of the docs for contributors | {
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... | 6 | 2014-01-14T10:20:40Z | 2018-07-06T22:43:01Z | 2018-07-06T22:43:00Z | MEMBER | null | Contributing to the docs (and so building the docs) should be as easy as possible to promote this, which is not always the case (eg see comment here https://github.com/pydata/pandas/pull/5530#issuecomment-32138220). Thanks to @y-p to pushing some things forward yesterday, and I thought of making an overview of all issu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5935/events | https://github.com/pandas-dev/pandas/pull/5935 | 25,572,445 | MDExOlB1bGxSZXF1ZXN0MTE0OTEzNDc= | 5,935 | BUG: Bug in creating an empty DataFrame, copying, then assigning (GH5932) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5936/events | https://github.com/pandas-dev/pandas/issues/5936 | 25,580,855 | MDU6SXNzdWUyNTU4MDg1NQ== | 5,936 | io.rst needs updating to reflect api sql API methods introduced in 0.13 | {
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```
http://pandas.pydata.org/pandas-docs/stable/io.html#sql-queries
Also needs updating since it doesn't reflect the updated API
(that was already introduced in 0.13 I think) which uses read_sql
and to_sql for consistency with e.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5937/events | https://github.com/pandas-dev/pandas/issues/5937 | 25,584,950 | MDU6SXNzdWUyNTU4NDk1MA== | 5,937 | Inconsistent behaviour in resample between daily and weekly | {
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... | 2 | 2014-01-14T16:18:38Z | 2021-04-11T04:08:50Z | null | CONTRIBUTOR | null | Resampling weekly doesn't behave the same way as resampling daily when using label='right'.
``` python
import numpy as np
import pandas as pd
dates = pd.date_range('2001-01-01 10:00', '2001-01-15 16:00', freq='12h')
d = pd.DataFrame(dict(A=np.arange(len(dates))), index=dates)
```
so d looks like this:
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https://api.github.com/repos/pandas-dev/pandas/issues/5938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5938/events | https://github.com/pandas-dev/pandas/issues/5938 | 25,602,624 | MDU6SXNzdWUyNTYwMjYyNA== | 5,938 | indexed assignment does not work for dataframe | {
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In [82]: d = {'a': range(4), 'b': list('ab..'), 'c': ['a', 'b', nan, 'd']}
In [83]: df = pd.DataFrame(d)
In [84]: df
Out[84]:
a b c
0 0 a a
1 1 b b
2 2 . NaN
3 3 . d
In [85]: df[['c']][pd.isnull(df.c)] = df[['b']][pd.isnull(df.c)]
In [86]: df
Out[86]:
a b c
0 0 a a
1 1 b b
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5939/events | https://github.com/pandas-dev/pandas/pull/5939 | 25,607,153 | MDExOlB1bGxSZXF1ZXN0MTE1MTE3Mjk= | 5,939 | API: Raise/Warn SettingWithCopyError in more cases | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-14T21:31:09Z | 2014-07-16T08:46:31Z | 2014-01-15T00:37:31Z | CONTRIBUTOR | null | when detecting chained assignment, related, #5938
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https://api.github.com/repos/pandas-dev/pandas/issues/5940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5940/events | https://github.com/pandas-dev/pandas/issues/5940 | 25,615,278 | MDU6SXNzdWUyNTYxNTI3OA== | 5,940 | Support UTF-8 in Google BigQuery results | {
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I'd love to do a pull request but I'm not sure the preferred way of handling this. I'd assume that [this line](https://github.com/pydata/pandas/blob/master/pandas/io/gbq.py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5941/events | https://github.com/pandas-dev/pandas/pull/5941 | 25,617,953 | MDExOlB1bGxSZXF1ZXN0MTE1MTgzOTI= | 5,941 | API: add read_gbq to top-level api, closes (GH5843) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5942 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5942/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5942/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5942/events | https://github.com/pandas-dev/pandas/pull/5942 | 25,618,545 | MDExOlB1bGxSZXF1ZXN0MTE1MTg3ODI= | 5,942 | BUG: Bug in propogating metadata on resample (GH5862) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5943/events | https://github.com/pandas-dev/pandas/pull/5943 | 25,623,022 | MDExOlB1bGxSZXF1ZXN0MTE1MjEyOTM= | 5,943 | BUG: pd.match not returning passed sentinel | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5944 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5944/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5944/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5944/events | https://github.com/pandas-dev/pandas/pull/5944 | 25,646,467 | MDExOlB1bGxSZXF1ZXN0MTE1MzM5ODM= | 5,944 | ENH: Improve perf of str_extract | {
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"followers_url": "https://api.github.com/users/... | 6 | 2014-01-15T13:19:13Z | 2014-06-14T23:57:13Z | 2014-01-15T22:17:33Z | CONTRIBUTOR | null | Building the result from a list of strings or a list of lists seems to improve performance over building the result via `arr.apply(f)`.
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https://api.github.com/repos/pandas-dev/pandas/issues/5945 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5945/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5945/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5945/events | https://github.com/pandas-dev/pandas/issues/5945 | 25,652,791 | MDU6SXNzdWUyNTY1Mjc5MQ== | 5,945 | Can't read excel decimal seconds | {
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I have an excel spread sheet (.xls) that contains a time column. The time is displayed in Excel as minutes:seconds.tenths of seconds. Such as "50:59.2" "50:59.4". The raw data contains hours:minutes:seconds.decimalseconds.
It seems that Pandas uses xldate_as_tuple() which apparently rounds all second... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5946 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5946/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5946/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5946/events | https://github.com/pandas-dev/pandas/issues/5946 | 25,656,978 | MDU6SXNzdWUyNTY1Njk3OA== | 5,946 | ENH: resample to conjoin ohlc with other fields | {
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... | 1 | 2014-01-15T15:52:46Z | 2018-07-06T22:37:51Z | 2018-07-06T22:37:51Z | CONTRIBUTOR | null | Since ohlc produces a multi-index and other aggregations an index,
should promote the index to multi-index and conjoin
http://stackoverflow.com/questions/21140630/resampling-trade-data-into-ohlcv-with-pandas
e.g.
`df.resample('30s',how={'price' : 'ohlc', 'volume' : 'sum'})`
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https://api.github.com/repos/pandas-dev/pandas/issues/5947 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5947/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5947/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5947/events | https://github.com/pandas-dev/pandas/issues/5947 | 25,659,763 | MDU6SXNzdWUyNTY1OTc2Mw== | 5,947 | Msgpack serialization fails for DatetimeIndex with only two rows | {
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pandas.read_msgpack() throws a `ValueError: Dates do not conform to passed frequency` if the index is a DatetimeIndex and there are only two rows of data.
``` python
In [66]: df = pd.DataFrame([1, 2], index=pd.date_range('1/1/2013', '1/2/2013'))
In [67]: df
Out[67]:
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https://api.github.com/repos/pandas-dev/pandas/issues/5949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5949/events | https://github.com/pandas-dev/pandas/issues/5949 | 25,665,069 | MDU6SXNzdWUyNTY2NTA2OQ== | 5,949 | DOC: document pd.match in main docs section | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2014-01-15T17:25:01Z | 2018-03-07T09:56:47Z | 2018-03-07T09:56:42Z | CONTRIBUTOR | null | `pd.match` is a lurking function.....would be nice to add a short blurb to the main docs, maybe in `factorize` section
https://github.com/pydata/pandas/blob/master/doc/source/reshaping.rst#factorizing-values
used here in docs: https://github.com/pydata/pandas/pull/5875/files
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https://api.github.com/repos/pandas-dev/pandas/issues/5950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5950/events | https://github.com/pandas-dev/pandas/pull/5950 | 25,665,868 | MDExOlB1bGxSZXF1ZXN0MTE1NDQ0NzQ= | 5,950 | ENH: sql support via SQLAlchemy, with legacy fallback | {
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```
pd.read_csv(StringIO.StringIO('a,b\n1,2.0\n2,nan\n3,-nan')).b
Out[15]:
0 2.0
1 NaN
2 -nan
Name: b, dtype: object
pd.read_csv(StringIO.StringIO('a,b\n1,2.0\n2,nan\n'... | {
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most pandas read_\* methods take a path/url of file like. the newish read_json/read_msgpack
also accept a (byte)string of data, and tries to guess whether it's data or a filepath.
That creates weird corner cases and is sufficently wrong IMO that it's worth
mak... | {
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``` python
$ python
Python 2.7.4 (default, Apr 23 2013, 12:22:04)
[GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import datetime
>>> import pandas as pd
>>> pd.__version__
'0.12.0'
>>> indices = [datetime.dat... | {
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related #5874
closes #5924
todo:
```
[ ] update io.rst docs / whatsnew
[ ] more tests (esp pickle/csv) for passing string to ``read_csv`` or file-handle to ``reads_csv``
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5958/events | https://github.com/pandas-dev/pandas/pull/5958 | 25,691,378 | MDExOlB1bGxSZXF1ZXN0MTE1NTg5MDk= | 5,958 | BUG: Fix to_datetime to properly deal with tz offsets #3944 | {
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just be ignored.
#3944
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https://api.github.com/repos/pandas-dev/pandas/issues/5959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5959/events | https://github.com/pandas-dev/pandas/pull/5959 | 25,697,284 | MDExOlB1bGxSZXF1ZXN0MTE1NjI0NDk= | 5,959 | BUG: use the "join" string in Appender decorator | {
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-16T01:40:05Z | 2014-07-06T10:27:41Z | 2014-01-18T03:08:06Z | CONTRIBUTOR | null | The docstring for Appender decorator says that "join" parameter is used to join the docstring and addendum. This commit brings the code in line with the documentation.
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https://api.github.com/repos/pandas-dev/pandas/issues/5960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5960/events | https://github.com/pandas-dev/pandas/pull/5960 | 25,698,975 | MDExOlB1bGxSZXF1ZXN0MTE1NjM0Mzk= | 5,960 | PERF: add np.max and np.min to _cython_table (GH5927) | {
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Fixes numpy max/min slow path on resample and adds tests to vbench.
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https://api.github.com/repos/pandas-dev/pandas/issues/5961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5961/events | https://github.com/pandas-dev/pandas/issues/5961 | 25,701,517 | MDU6SXNzdWUyNTcwMTUxNw== | 5,961 | to_datetime broken for Tz-aware datetimes and NaTs in same array | {
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```
In [400]:
pd.to_datetime([pd.Timestamp("2013-1-1", tz=pytz.timezone('US/Eastern'))])
Out[400]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00-05:00]
Length: 1, Freq: None, Timezone: US/Eastern
```
but this (adding an NaT) does not. At the very least, the error message is misleadin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5963/events | https://github.com/pandas-dev/pandas/issues/5963 | 25,702,862 | MDU6SXNzdWUyNTcwMjg2Mg== | 5,963 | Unable to compare timedelta64 to timedelta | {
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In [426]:
s = pd.Series([timedelta(days=1), timedelta(days=2)])
s > timedelta(days=1)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-426-9094b7c93677> in <module>()
1 s = pd.Series([timedel... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5964/events | https://github.com/pandas-dev/pandas/pull/5964 | 25,703,296 | MDExOlB1bGxSZXF1ZXN0MTE1NjU3NzY= | 5,964 | DOC: Clarified documentation for MultiIndexes | {
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Exception: Cython-generated file 'pandas/msgpack.c' not found.
Cython is required to compile pandas from a development branch.
Please install Cython or download a release package of pandas.
I did not specify a dev branch install from ... | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2014-01-16T13:21:52Z | 2016-11-11T10:21:27Z | 2016-11-11T10:21:23Z | CONTRIBUTOR | null | related #4147
Observe w/o tz:
```
In [46]: pd.Series([pd.NaT, pd.Timestamp("2013-1-1")]).min()
Out[46]: Timestamp('2013-01-01 00:00:00', tz=None)
```
however w/ tz:
```
In [48]: pd.Series([pd.NaT, pd.Timestamp("2013-1-1", tz="US/Eastern")]).min()
Out[48]: NaT
```
strangely, `max` works:
```
In [60]: pd.Series([pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5968 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5968/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5968/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5968/events | https://github.com/pandas-dev/pandas/issues/5968 | 25,725,340 | MDU6SXNzdWUyNTcyNTM0MA== | 5,968 | df.dtypes.values is not O(1) and repr(df) is therefore slow for large frames | {
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"followers_url": "https://api.github.com/users/... | 21 | 2014-01-16T13:42:26Z | 2014-01-16T22:14:44Z | 2014-01-16T17:58:40Z | NONE | null | For the FEC dataset, it takes about 1.5 sec to get a repr. and prun
puts it all in `infer_dtype`.
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https://api.github.com/repos/pandas-dev/pandas/issues/5969 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5969/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5969/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5969/events | https://github.com/pandas-dev/pandas/issues/5969 | 25,735,613 | MDU6SXNzdWUyNTczNTYxMw== | 5,969 | ERR: better error reporting for missing numexpr | {
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"followers_url": "https://api.github.com/users/... | 43 | 2014-01-16T16:08:44Z | 2016-10-12T23:04:30Z | 2014-01-26T23:16:10Z | CONTRIBUTOR | null | From the example at http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.query.html:
``` python
from numpy.random import randn
from pandas import DataFrame
df = DataFrame(randn(10, 2), columns=list('ab'))
df.query('a > b')
```
gives me:
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https://api.github.com/repos/pandas-dev/pandas/issues/5970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5970/events | https://github.com/pandas-dev/pandas/pull/5970 | 25,737,727 | MDExOlB1bGxSZXF1ZXN0MTE1ODUyOTM= | 5,970 | PERF: perf improvments in dtypes/ftypes methods (GH5968) | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-16T16:35:58Z | 2014-06-15T18:39:31Z | 2014-01-16T17:04:02Z | CONTRIBUTOR | null | closes #5968
```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
frame_dtypes | 0.2654 | 51.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5971/events | https://github.com/pandas-dev/pandas/issues/5971 | 25,740,818 | MDU6SXNzdWUyNTc0MDgxOA== | 5,971 | Suggestion: percentile ranks | {
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... | closed | false | null | [] | {
"closed_at": "2014-05-30T12:17:57Z",
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"created_at": "2014-01-03T20:19:04Z",
"creator": null,
"description": "2014-02-3: previous version released",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 4 | 2014-01-16T17:14:47Z | 2014-03-27T12:07:42Z | 2014-02-16T21:23:12Z | CONTRIBUTOR | null | I realize I am computing percentile ranks constantly in my code.
df["pct_rank"] = df["field"].groupby("date").transform(lambda x: x.rank(ascending=False) / float(x.count()))
Would anyone have any use for a function that is computed in cython for this?
if so, would people prefer to it to be a separate function or an ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5972 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5972/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5972/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5972/events | https://github.com/pandas-dev/pandas/issues/5972 | 25,742,667 | MDU6SXNzdWUyNTc0MjY2Nw== | 5,972 | vb_suite parser.py can shadow builtin parser module | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-16T17:38:28Z | 2014-01-17T09:48:52Z | 2014-01-17T09:48:52Z | CONTRIBUTOR | null | This is identical to Tom Augspurger's issue [here](https://groups.google.com/d/msg/pydata/pxFe_ISulyA/Upyjnx96P-UJ).
Under some circumstances, you can't run the performance tests:
```
~/sys/pandas$ ./test_perf.sh
Traceback (most recent call last):
File "/home/mcneil/sys/pandas/vb_suite/test_perf.py", line 55, in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5973 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5973/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5973/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5973/events | https://github.com/pandas-dev/pandas/pull/5973 | 25,743,312 | MDExOlB1bGxSZXF1ZXN0MTE1ODg1NDY= | 5,973 | PERF: perf improvments in indexing with object dtypes (GH5968) | {
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"followers_url": "https://api.github.com/users/... | 4 | 2014-01-16T17:47:39Z | 2014-06-13T17:04:51Z | 2014-01-16T21:14:35Z | CONTRIBUTOR | null | closes #5968
```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
frame_iloc_big | 0.2836 | 2.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5974 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5974/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5974/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5974/events | https://github.com/pandas-dev/pandas/pull/5974 | 25,743,681 | MDExOlB1bGxSZXF1ZXN0MTE1ODg3NTk= | 5,974 | ENH: revamp null count supression for large frames in df.info() | {
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"followers_url": "https://api.github.com/users/... | 14 | 2014-01-16T17:52:57Z | 2014-06-12T19:14:09Z | 2014-01-16T18:06:13Z | NONE | null | #5550 deprecated options.display.max_info_rows, but df.info is still there
for the user to invoke and the null count can be very slow.
Un-deprecte the option and revamp `df.info` to do the right thing.
Now that @cpcloud add per column dtypes it will always show them,
and just supress the counts if needed, where pr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5975 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5975/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5975/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5975/events | https://github.com/pandas-dev/pandas/issues/5975 | 25,746,434 | MDU6SXNzdWUyNTc0NjQzNA== | 5,975 | BUG: Scipy interpolate methods are not datetime64 aware | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-16T18:14:57Z | 2014-01-19T09:43:24Z | 2014-01-19T09:43:24Z | CONTRIBUTOR | null | From [this SO question](http://stackoverflow.com/questions/21169182/interpolation-for-some-methods-is-failing-with-a-type-error).
Is this something we should worry about here, or report upstream to scipy? The workaround I posted on SO is just to explicitly recast the index as an int64, interpolate on that, and then re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5976/events | https://github.com/pandas-dev/pandas/pull/5976 | 25,747,646 | MDExOlB1bGxSZXF1ZXN0MTE1OTAzMjk= | 5,976 | ENH: make show_versions available in the top_level api | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5977/events | https://github.com/pandas-dev/pandas/pull/5977 | 25,748,343 | MDExOlB1bGxSZXF1ZXN0MTE1OTA3MDU= | 5,977 | BUG: Allow DatetimeIndex for scipy interpolate | {
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Is there a better way to check for a DatetimeIndex than with an `isinstance()`?
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This pull allows people to compute percentage ranks in cython for a series. I found myself computing this all the time and it will make this calculation much faster.
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https://api.github.com/repos/pandas-dev/pandas/issues/5979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5979/events | https://github.com/pandas-dev/pandas/pull/5979 | 25,755,447 | MDExOlB1bGxSZXF1ZXN0MTE1OTMwMzI= | 5,979 | VBENCH: rename parser.py to parser_vb.py | {
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@dsm054, does this resolve the issue for you?
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https://api.github.com/repos/pandas-dev/pandas/issues/5980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5980/events | https://github.com/pandas-dev/pandas/pull/5980 | 25,768,473 | MDExOlB1bGxSZXF1ZXN0MTE1OTg2NDA= | 5,980 | DOC: add a couple plt.close('all') to avoid warning | {
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- added some `plt.close('all')` calls to avoid the matplotlib warning that there are more than 20 figures open.
- some style errors in release.rst. Apparantly sphinx complains about something like ```NaN``s`.because there may not be a character directly after the closing ````
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"followers_url": "https://api.github.com/users/... | 4 | 2014-01-16T23:18:14Z | 2014-01-17T12:55:11Z | 2014-01-17T12:55:11Z | CONTRIBUTOR | null | I am testing pandas 0.13 (built against numexpr 2.2.2, numpy 1.8.0, scipy 0.13.2, all linked to MKL 10.3 using Scientific Linux 6.4's stock gcc 4.7.4), and test_pow fails with an array not equal error:
#
## FAIL: test_pow (pandas.computation.tests.test_eval.TestEvalNumexprPandas)
Traceback (most recent call last):
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https://api.github.com/repos/pandas-dev/pandas/issues/5982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5982/events | https://github.com/pandas-dev/pandas/pull/5982 | 25,776,144 | MDExOlB1bGxSZXF1ZXN0MTE2MDI2Mzk= | 5,982 | Modified test_pow function in computation/tests/test_eval.py to use asse... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5983 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5983/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5983/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5983/events | https://github.com/pandas-dev/pandas/pull/5983 | 25,779,169 | MDExOlB1bGxSZXF1ZXN0MTE2MDQ1MjQ= | 5,983 | API: Panel.dtypes to use generic method; add tests for Panel4D for same | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5984/events | https://github.com/pandas-dev/pandas/pull/5984 | 25,797,806 | MDExOlB1bGxSZXF1ZXN0MTE2MTQ4MjI= | 5,984 | DOC: correction of docstring dtypes/ftypes | {
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See #5970, you copied the docstring of `get_dtype_counts`. Only thing I was wondering: `columns` is maybe not generic enough?
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https://api.github.com/repos/pandas-dev/pandas/issues/5985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5985/events | https://github.com/pandas-dev/pandas/pull/5985 | 25,807,932 | MDExOlB1bGxSZXF1ZXN0MTE2MjA1MDQ= | 5,985 | DOC: in ReST, a sublabel defines it's parent. latex complains of dupe | {
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I've uploaded the pdf to GH releases, and eventually hope to get it on the website.
Also updated the [release checklist](https://github.com/pydata/pandas/wiki/Release-Checklist) to make pdf publishing a standard part of our release proc... | {
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- [x] rank #12465
- [x] unique
- [x] factorize #12465
- [x] quantile
- [x] mode #12465
- [x] value_counts
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"labels_url": "htt... | 10 | 2014-01-17T18:52:50Z | 2014-02-20T14:24:06Z | 2014-02-20T14:24:06Z | MEMBER | null | Currently, with `query` and `eval` you can use local variables a la the `@` symbol. It's a bit confusing since you're not allowed to have a local variable and a column name with the same name, but it will try to pull the local if possible.
Current API:
Fails with a `NameError`:
``` python
a = 1
df = DataFrame({'a':... | {
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It would be straightforward to add a method which replaces string data and index/c... | {
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```
Traceback (most recent call last):
File "/Users/user/.virtualenvs/pandas-dev/lib/python3.3/site-packages/sphinx/cmdline.py", line 245, in main
warningiserror, tags, verbosity, p... | {
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across a fast path in pd.read_csv that I was unaware of for parsing iso8601 datetimes.
It's undocumented as far as I can tell.
RIght the wrong.
```
N=10000
r=pd.date_range("2000-01-01","2013-01-01",freq="H")[:N]
df=pd.DataFrame(range(N),index=r)
df.to_cs... | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-18T20:37:06Z | 2014-01-23T15:55:36Z | 2014-01-23T15:41:34Z | CONTRIBUTOR | null | add to
http://pandas.pydata.org/pandas-docs/dev/tutorials.html
the tutorial:
http://pandas-xlsxwriter-charts.readthedocs.org/
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closes #5695
closes #5689
cleaned up / clarified timedelta inferences, bottom line is the following works, previously these would
return not-useful object dtypes
```
In [4]: Series([np.timedelta64(1,'s'),timedelta(days=1),pd.NaT])
Out[4]:
0 0 days, 00:00:01
1 1 days, 00:00:00
2 NaT
d... | {
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"labels_url": "htt... | 13 | 2014-01-18T22:54:08Z | 2014-07-02T10:56:37Z | 2014-01-25T01:09:54Z | MEMBER | null | First draft of some guidelines on contributing to and building the docs (following #5934). Comments are very welcome.
Rendered version can be seen here: https://github.com/jorisvandenbossche/pandas/blob/doc-guide/doc/README.rst
TODO:
- [x] update section on Sphinx 1.2 now 1.2.1 is released
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```
ERROR: test_qcut_specify_quantiles (pandas.tools.tests.test_tile.TestCut)
File "hashtable.pyx", line 776, in pandas.hashtable.PyObjectHashTable.unique (pandas/hashtable.c:12071)
TypeError: unhashable type: 'numpy.ndarray'
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https://api.github.com/repos/pandas-dev/pandas/issues/5998 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5998/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5998/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5998/events | https://github.com/pandas-dev/pandas/pull/5998 | 25,871,849 | MDExOlB1bGxSZXF1ZXN0MTE2NTI4Nzc= | 5,998 | BUG: use astype for scipy datetime interpolation | {
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"followers_url": "https://api.github.com/users/... | 4 | 2014-01-19T00:49:53Z | 2014-06-23T03:21:11Z | 2014-01-19T09:43:24Z | CONTRIBUTOR | null | Closes #5975 (again), with the issue raised at https://github.com/pydata/pandas/pull/5977#issuecomment-32691271.
I'm using `astype` instead of `view` now, as Jeff suggested. I also didn't realize that `asi8` was a method on all `Index`es, and not just `DatetimeIndex`es. So instead of checking for that attr, I just che... | {
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```
======================================================================
ERROR: test_flush (pandas.io.tests.test_pytables.TestHDFStore)
--------------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6000/events | https://github.com/pandas-dev/pandas/issues/6000 | 25,878,197 | MDU6SXNzdWUyNTg3ODE5Nw== | 6,000 | DOC: reorganisation of the documentation? | {
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... | 7 | 2014-01-19T10:40:13Z | 2021-01-24T01:16:35Z | 2021-01-24T01:16:34Z | MEMBER | null | I think the documentation can use some reorganisation.
The current structure looks like this (updated with status of jan 2017):
```
What’s New
Installation
Contributing to pandas
Frequently Asked Questions (FAQ)
Package overview
10 Minutes to pandas
Tutorials
Cookbook
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