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https://api.github.com/repos/pandas-dev/pandas/issues/4801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4801/events | https://github.com/pandas-dev/pandas/issues/4801 | 19,267,476 | MDU6SXNzdWUxOTI2NzQ3Ng== | 4,801 | docs: add shortcut page | {
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Instead of a cheatsheet, it shall just provides refrences preventing the reader from need to bookmark refrence pages or search through the documentation.
This is the idea which is waiting to be converted into a proper PR... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4802/events | https://github.com/pandas-dev/pandas/issues/4802 | 19,267,533 | MDU6SXNzdWUxOTI2NzUzMw== | 4,802 | doc: explain working with time-based index in functions | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-09-10T15:47:28Z | 2013-09-30T12:19:15Z | 2013-09-30T12:19:15Z | CONTRIBUTOR | null | This is the idea which is waiting to be converted into a proper PR:
https://github.com/timmie/pandas/blob/9b0932368d6cf608f9e39d14a9532754f672d410/doc/source/timeseries.rst
If you like to have such a section as well, you can assign me and I will finally prepare the PR.
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https://api.github.com/repos/pandas-dev/pandas/issues/4803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4803/events | https://github.com/pandas-dev/pandas/issues/4803 | 19,268,748 | MDU6SXNzdWUxOTI2ODc0OA== | 4,803 | matplotlib table | {
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"labels_url": "htt... | 12 | 2013-09-10T16:08:01Z | 2014-04-07T15:41:42Z | 2014-04-07T15:41:42Z | CONTRIBUTOR | null | it would be cool if a DataFrame could be displayed on a matplotlib plot, perhaps by calling the table() function.
( i am thinking about displaying the output of DataFrame.describe() or similar (small) amount of data)
related use of the table:
http://stackoverflow.com/questions/10194482/custom-matplotlib-plot-chess-b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4804 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4804/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4804/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4804/events | https://github.com/pandas-dev/pandas/issues/4804 | 19,276,159 | MDU6SXNzdWUxOTI3NjE1OQ== | 4,804 | BUG: seems that subtracting a YearBegin offset from an index loses the months/days | {
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... | 17 | 2013-09-10T18:24:43Z | 2018-07-06T21:55:51Z | 2018-07-06T21:55:50Z | CONTRIBUTOR | null | related is #4637 (on freq for WeekDay)
This might be expected, e.g. it conforms the values. or is this a bug?
```
In [48]: index = date_range('20140101 00:15:00',freq='D',periods=10)
```
```
In [44]: df.index.values
Out[44]:
array(['2013-12-31T19:15:00.000000000-0500',
'2014-01-01T19:15:00.000000000-0500',
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4805 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4805/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4805/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4805/events | https://github.com/pandas-dev/pandas/pull/4805 | 19,278,078 | MDExOlB1bGxSZXF1ZXN0ODIyMTEwMw== | 4,805 | ENH: Series constructor converts dicts with tuples in keys to MultiIndex | {
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related #4187
related #1848
Hi,
I'd love for Series (and DataFrame) initialized with a dict to automatically create the MultiIndex. See below example.
Desired Result:
```
In [1]: pandas.Series({('a', 'b'): 1, ('a', 'a'): 0, ('a', 'c'): 2, ('b', 'a'): 3, ('b', 'b'): 4})
Out[1]:
a a 0
b 1
c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4806 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4806/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4806/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4806/events | https://github.com/pandas-dev/pandas/pull/4806 | 19,279,573 | MDExOlB1bGxSZXF1ZXN0ODIyMTk4OA== | 4,806 | BUG: Fixed an issue with a duplicate index and assignment with a dtype change (GH4686) | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2013-09-10T23:05:10Z | 2015-03-03T15:12:42Z | 2015-03-03T01:49:36Z | CONTRIBUTOR | null | discussed in #4698
`convert_data` would return an appropriate Converter object to do various types of conversions. Mainly useful when you have to chunk both sides of these.
```
csv -> hdf
sql -> hdf
hdf -> csv
```
```
c = pd.convert_data('csv','hdf', chunksize=....)
c.read_csv(input_path. ......)
c.to_hdf(output_pat... | {
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DOC: added section on select_as_coordinates
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https://api.github.com/repos/pandas-dev/pandas/issues/4810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4810/events | https://github.com/pandas-dev/pandas/issues/4810 | 19,317,567 | MDU6SXNzdWUxOTMxNzU2Nw== | 4,810 | Dataframe Representation Could be More Informative with MultiIndexes | {
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"id": 13101118,
"name": "Output-Formatting",
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"color": "207de... | closed | false | null | [] | {
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... | 14 | 2013-09-11T13:00:53Z | 2018-07-06T21:52:50Z | 2018-07-06T21:52:50Z | NONE | null | I have been struggling a little to get my head around MultiIndexing. When playing with them in python notebook, I think it would have been much easier for me to pick things up if the `__repr__`was a little bit more informative:
For example:
``` python
print(mp_stats_unstack.__repr__())
<class 'pandas.core.frame.DataF... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4811/events | https://github.com/pandas-dev/pandas/issues/4811 | 19,319,998 | MDU6SXNzdWUxOTMxOTk5OA== | 4,811 | IndexError When Ploting a Dataframe with Sliced columns using iloc | {
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"followers_url": "https://api.github.com/users/wesm... | 11 | 2013-09-11T13:46:01Z | 2013-09-20T18:07:36Z | 2013-09-20T18:07:36Z | NONE | null | With the following, I can plot work, but I can not plot nowork. I can't see any clear difference between the two resulting dataframes. I also get the issue when trying to slice use .loc and range of labels.
``` python
work = mp_stats_unstack.xs(0, level='CPU', axis=1).iloc[:,[x for x in range(48,63)]]
nowork = mp_stat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4812/events | https://github.com/pandas-dev/pandas/issues/4812 | 19,331,977 | MDU6SXNzdWUxOTMzMTk3Nw== | 4,812 | BUG: resample with dup index broken | {
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In [2]: df = DataFrame(randn(4,12),index=[2000,2000,2000,2000],columns=[ pd.Period(year=2000,month=i+1,freq='M') for i in range(12) ])
In [3]: df
Out[3]:
2000-01 2000-02 2000-03 2000-04 2000-05 2000-06 2000-07 2000-08 2000-09 2000-10 2000-11 2000-12
2000 -0.630327 0.698388 -0.678858 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4813/events | https://github.com/pandas-dev/pandas/pull/4813 | 19,333,433 | MDExOlB1bGxSZXF1ZXN0ODI1MTQ1NA== | 4,813 | TST: tests for GH4812 (already fixed in master) | {
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was already fixed!
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https://api.github.com/repos/pandas-dev/pandas/issues/4814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4814/events | https://github.com/pandas-dev/pandas/issues/4814 | 19,338,855 | MDU6SXNzdWUxOTMzODg1NQ== | 4,814 | Column multi-index not restored correctly on load from HDF5 table | {
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data = pd.DataFrame(index=[1,2,3], columns=cols, dtype=float)
data.values.fill(0.)
s = store('/tmp/test', mode='a')
s.append('mi_frame', data)
reloaded = s['mi_frame'] # also applies to s.select...
print type(data.columns)
Out: pandas.core.index.MultiIndex
print t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4815/events | https://github.com/pandas-dev/pandas/issues/4815 | 19,338,914 | MDU6SXNzdWUxOTMzODkxNA== | 4,815 | Column multi-index not restored correctly on load from HDF5 table | {
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cols = pd.MultiIndex.from_tuples([(1,2), (3,4)])
data = pd.DataFrame(index=[1,2,3], columns=cols, dtype=float)
data.values.fill(0.)
s = store('/tmp/test', mode='a')
s.append('mi_frame', data)
reloaded = s['mi_frame'] # also applies to s.select...
print type(data.columns)
Out: pandas.core.index.MultiInde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4816/events | https://github.com/pandas-dev/pandas/issues/4816 | 19,339,030 | MDU6SXNzdWUxOTMzOTAzMA== | 4,816 | Column multi-index not restored correctly on load from HDF5 table | {
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cols = pd.MultiIndex.from_tuples([(1,2), (3,4)])
data = pd.DataFrame(index=[1,2,3], columns=cols, dtype=float)
data.values.fill(0.)
s = store('/tmp/test', mode='a')
s.append('mi_frame', data)
reloaded = s['mi_frame'] # also applies to s.select...
print type(data.columns)
Out: pandas.core.index.MultiIndex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4817/events | https://github.com/pandas-dev/pandas/issues/4817 | 19,339,065 | MDU6SXNzdWUxOTMzOTA2NQ== | 4,817 | DOC: More subtotals / margins in pivot_table | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 9 | 2013-09-11T18:54:11Z | 2021-08-12T13:55:27Z | 2021-08-12T13:55:27Z | CONTRIBUTOR | null | Perhaps there should be some argument to pivot_table to include subtotals of MI columns and rows, i.e. not just margins.
http://stackoverflow.com/questions/15570099/pandas-pivot-tables-row-subtotals
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https://api.github.com/repos/pandas-dev/pandas/issues/4818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4818/events | https://github.com/pandas-dev/pandas/issues/4818 | 19,341,202 | MDU6SXNzdWUxOTM0MTIwMg== | 4,818 | Feature Request: regex for drop | {
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"f... | 19 | 2013-09-11T19:29:48Z | 2021-03-21T15:59:30Z | 2021-03-21T15:59:30Z | CONTRIBUTOR | null | Don't have time to implement this, but I wanted to float the idea and park it. It's pretty trivial and you can achieve the same thing with filter, but it might be nice if drop had a regex keyword. E.g., these would be equivalent
```
df = df.filter(regex="^(?!var_start)")
df = df.drop(regex="^var_start", axis=1)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/4819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4819/events | https://github.com/pandas-dev/pandas/issues/4819 | 19,344,547 | MDU6SXNzdWUxOTM0NDU0Nw== | 4,819 | Series is missing real/imag attributes | {
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``` python
In [1]: pd.__version__
Out[1]: '0.10.0'
In [2]: a = np.arange(5)
In [3]: b = pd.Series(a + 4j*a)
In [4]: b.real
Out[4]:
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4820/events | https://github.com/pandas-dev/pandas/pull/4820 | 19,346,822 | MDExOlB1bGxSZXF1ZXN0ODI1OTAyNA== | 4,820 | API: Complex compat for Series with ndarray. (GH4819) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4821/events | https://github.com/pandas-dev/pandas/pull/4821 | 19,353,878 | MDExOlB1bGxSZXF1ZXN0ODI2MzE0Nw== | 4,821 | ENH: Allow abs to work with PandasObjects | {
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"followers_url": "https://api.github.com/users/wesm... | 9 | 2013-09-11T23:38:26Z | 2014-06-25T20:28:51Z | 2013-09-11T23:49:00Z | CONTRIBUTOR | null | Add `__abs__` method so that you can use the toplevel `abs()` with
PandasObjects. I note there aren't that many existing test cases for
abs. At some point we might want to think about that.
Also related #4819
cc @thisch
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https://api.github.com/repos/pandas-dev/pandas/issues/4822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4822/events | https://github.com/pandas-dev/pandas/pull/4822 | 19,354,813 | MDExOlB1bGxSZXF1ZXN0ODI2MzcwOQ== | 4,822 | ENH/CLN: support enhanced timedelta64 operations/conversions | {
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realted #3009
- ENH: add top-level `to_timedelta` to convert string/integer to timedeltas
- TST: add pandas/tseries/tests/test_timedeltas.py
- API: add full timedelta parsing and conversion to np.timedelta64[ns]
- CLN: refactored locations of timedeltas to core/tseries/timedeltas (from a series of functi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4823/events | https://github.com/pandas-dev/pandas/pull/4823 | 19,366,462 | MDExOlB1bGxSZXF1ZXN0ODI2OTc0NQ== | 4,823 | API: add is_beg_month/quarter/year, is_end_month/quarter/year accessors (#4565) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4824/events | https://github.com/pandas-dev/pandas/issues/4824 | 19,374,508 | MDU6SXNzdWUxOTM3NDUwOA== | 4,824 | MultiIndex init function | {
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"followers_url": "https://api.github.com/users/jorisva... | 9 | 2013-09-12T10:56:03Z | 2017-07-09T02:38:47Z | 2017-07-09T02:38:40Z | CONTRIBUTOR | null | At the moment you have to use MI.from_arrays or MI.from_tuples
I think it would be nicer to be able to call MultiIndex directly (and have an orient argument, similar to some other functions). Perhaps even with a little guess work to decide what the user wants similar to other contructors.
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https://api.github.com/repos/pandas-dev/pandas/issues/4825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4825/events | https://github.com/pandas-dev/pandas/issues/4825 | 19,392,819 | MDU6SXNzdWUxOTM5MjgxOQ== | 4,825 | bug or unhelpful error message in 0.12 and trunk: IndexError: Out of bounds on buffer access (axis 0) | {
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"followers_url": "https://api.github.com/users/wesm... | 29 | 2013-09-12T15:05:41Z | 2013-09-16T13:01:20Z | 2013-09-16T12:56:55Z | CONTRIBUTOR | null | The following raises the error
```
pandas.Series([0.1, 0.2], index=[1, 2]).loc[[2, 3, 2]]
```
whilst
```
pandas.Series([0.1, 0.2], index=[1, 2]).loc[[2, 2, 3]]
```
does not. Or is there something invalid with this code?
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https://api.github.com/repos/pandas-dev/pandas/issues/4826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4826/events | https://github.com/pandas-dev/pandas/pull/4826 | 19,400,691 | MDExOlB1bGxSZXF1ZXN0ODI4NTU5Ng== | 4,826 | PERF: much faster to_datetime performance with a format of '%Y%m%d' | {
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In [1]: rng = date_range('1/1/2000', periods=10000, freq='D')
In [2]: strings = Series(rng.year*10000+rng.month*100+rng.day,dtype=np.int64).apply(str)
In [3]: %timeit pandas.tslib.array_strptime(strings.values,"%Y%m%d")
10 loops, best of 3: 42.9 ms per loop
In [4]: %timeit pd.to_datetime(strings,format="%Y%m%d")... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4827/events | https://github.com/pandas-dev/pandas/issues/4827 | 19,419,872 | MDU6SXNzdWUxOTQxOTg3Mg== | 4,827 | BUG: Fred tests failing - possible error with Fred data IO. | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-09-12T22:41:57Z | 2013-09-20T08:01:33Z | 2013-09-20T08:01:33Z | CONTRIBUTOR | null | These two tests are failing (but they've been hidden for a while). They are (going to be) skipped on master for the moment, but need to be fixed/removed at some pont.
Is someone responsible/using the Fred data reader right now?
```
======================================================================
ERROR: test_fre... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4828/events | https://github.com/pandas-dev/pandas/pull/4828 | 19,420,403 | MDExOlB1bGxSZXF1ZXN0ODI5NjcxNg== | 4,828 | BUG: enhanced to_datetime with format '%Y%m%d' to handle NaT/nan better | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4829/events | https://github.com/pandas-dev/pandas/pull/4829 | 19,424,236 | MDExOlB1bGxSZXF1ZXN0ODI5ODgxNA== | 4,829 | ENH/API: allow DataFrame constructor to better accept list-like collections (GH3783,GH4297) | {
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closes #4297
related to #2305 (as now accept GeneratorType), but just convert to list, don't incrementally create the frame
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https://api.github.com/repos/pandas-dev/pandas/issues/4830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4830/events | https://github.com/pandas-dev/pandas/pull/4830 | 19,424,388 | MDExOlB1bGxSZXF1ZXN0ODI5ODkwMQ== | 4,830 | BUG: Fix copy s.t. it always copies index/columns. | {
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Only copies index/columns with `deep=True` on `BlockManager`. Plus some
tests...yay!
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https://api.github.com/repos/pandas-dev/pandas/issues/4831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4831/events | https://github.com/pandas-dev/pandas/pull/4831 | 19,442,545 | MDExOlB1bGxSZXF1ZXN0ODMwODIyOA== | 4,831 | TST: Add test case for 0.12 regression with loc from GH4825 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4832/events | https://github.com/pandas-dev/pandas/pull/4832 | 19,447,533 | MDExOlB1bGxSZXF1ZXN0ODMxMTAwOQ== | 4,832 | BUG/VIS: correctly test for yaxis ticklocs across different versions of MPL | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4833/events | https://github.com/pandas-dev/pandas/pull/4833 | 19,452,539 | MDExOlB1bGxSZXF1ZXN0ODMxMzAzMg== | 4,833 | BUG: Fixed an issue with a duplicate index and duplicate selector with loc (GH4825) | {
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```
In [1]: ser = Series([0.1, 0.2], index=[1, 2])
In [3]: ser
Out[3]:
1 0.1
2 0.2
dtype: float64
In [4]: ser.loc[[3, 2, 3]]
Out[4]:
3 NaN
2 0.2
3 NaN
dtype: float64
In [5]: ser.loc[[3, 3, 3]]
Out[5]:
3 NaN
3 NaN
3 NaN
dtype: float64
In [6]: ser.loc[[2, 2, 3]]
Out[6]:
2 0.2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4834/events | https://github.com/pandas-dev/pandas/issues/4834 | 19,461,128 | MDU6SXNzdWUxOTQ2MTEyOA== | 4,834 | scatter_matrix doesn't support passing histogram keyword args | {
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"f... | 1 | 2013-09-13T16:01:26Z | 2020-04-30T05:34:52Z | null | CONTRIBUTOR | null | There is no way to pass keyword arguments down to the histogram call in `pandas.tools.plotting.scatter_matrix`. I understand that it's sitting on top of a few interfaces and so intelligently deciding which keyword arguments go where is complex.
A simple solution would be to add a `hist_kwargs={}` keyword argument t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4835/events | https://github.com/pandas-dev/pandas/pull/4835 | 19,474,655 | MDExOlB1bGxSZXF1ZXN0ODMyMzUxNA== | 4,835 | io.pytables: handle start/stop in remove and select_coords | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4836/events | https://github.com/pandas-dev/pandas/pull/4836 | 19,477,776 | MDExOlB1bGxSZXF1ZXN0ODMyNTMzNQ== | 4,836 | ENH: DataFrame constructor now accepts a numpy masked record array (GH3478) | {
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Fixes #4730.
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https://api.github.com/repos/pandas-dev/pandas/issues/4839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4839/events | https://github.com/pandas-dev/pandas/issues/4839 | 19,503,731 | MDU6SXNzdWUxOTUwMzczMQ== | 4,839 | DataFrame.sort_index does not use ascending when then value is a list with a single element | {
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In [7]: d
Out[7]: {'one': [1.0, 2.0, 3.0, 4.0], 'two': [4.0, 3.0, 2.0, 1.0]}
In [11]: pd.DataFrame(d).sort_index(by=['two'], ascending=[0,])
Out[11]:
one two
3 4 1
2 3 2
1 2 3
0 1 4
In [12]: pd.DataFrame(d).sort_index(by=['two'], ascending=0)
Out[12]:
one two
0 1 4
1 2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4840/events | https://github.com/pandas-dev/pandas/pull/4840 | 19,509,145 | MDExOlB1bGxSZXF1ZXN0ODMzMzU5NA== | 4,840 | added documentationon pandas.datetime | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4841/events | https://github.com/pandas-dev/pandas/pull/4841 | 19,510,302 | MDExOlB1bGxSZXF1ZXN0ODMzNDAxMQ== | 4,841 | BUG: store datetime.date objects in HDFStore as ordinals rather then timetuples to avoid timezone issues (GH2852) | {
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thanks @tavistmorph and @numpand
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>>> from pandas import MultiIndex
>>> mi = MultiIndex.from_tuples(list(zip(range(10), range(10))))
>>> mi.shape
(0,)
>>> mi.ndim
1
```
I'd expect ndim to return 2 and shape to be (10, 2).
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setters and deleters, so pandas/util/rwproperty isn't necessary anymore.
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Only when it's greater than uint64 max (and not negative, etc.)
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now actually checks the first element of the list
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https://api.github.com/repos/pandas-dev/pandas/issues/4848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4848/events | https://github.com/pandas-dev/pandas/pull/4848 | 19,550,719 | MDExOlB1bGxSZXF1ZXN0ODM1MTI5Mw== | 4,848 | DOC: isin Example for .13 release notes | {
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Also did I get the syntax correct for this link?
> See :ref:`Boolean Indexing<indexing.boolean>` for more
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https://api.github.com/repos/pandas-dev/pandas/issues/4849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4849/events | https://github.com/pandas-dev/pandas/issues/4849 | 19,554,714 | MDU6SXNzdWUxOTU1NDcxNA== | 4,849 | pandas unpickling string nan values | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4850/events | https://github.com/pandas-dev/pandas/pull/4850 | 19,554,791 | MDExOlB1bGxSZXF1ZXN0ODM1MzQ5MA== | 4,850 | BUG/ENH: provide better .loc based semantics for float based indicies, continuing not to fallback (related GH236) | {
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- CLN: refactor all scalar/slicing code from core/indexing.py to core/index.py on a per-index basis
- BUG: provide better `.loc` semantics on floating indicies
- API: provide a implementation of `Float64Index`
- BUG: raise on indexing with float keys on a non-float index
provide better `loc` semantics on ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4851/events | https://github.com/pandas-dev/pandas/issues/4851 | 19,562,983 | MDU6SXNzdWUxOTU2Mjk4Mw== | 4,851 | List of 0-dim np.ndarrays no longer works for DataFrame constructor | {
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data = [np.array(x) for x in range(10)]
pd.DataFrame(data)
4814 else:
4815 # last ditch effort
-> 4816 data = lmap(tuple, data)
4817 return _list_to_arrays(data, columns,
4818 coerce_float=coerce_float,
TypeError: iteration over a 0-d arra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4852/events | https://github.com/pandas-dev/pandas/pull/4852 | 19,563,936 | MDExOlB1bGxSZXF1ZXN0ODM1ODYzMQ== | 4,852 | BUG: (GH4851) path for 0-dim arrays in DataFrame construction were incorrect | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4853/events | https://github.com/pandas-dev/pandas/issues/4853 | 19,564,276 | MDU6SXNzdWUxOTU2NDI3Ng== | 4,853 | tshift does not work for Panels | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4854/events | https://github.com/pandas-dev/pandas/issues/4854 | 19,576,795 | MDU6SXNzdWUxOTU3Njc5NQ== | 4,854 | BUG: HDFStore TypeError: decoding Unicode is not supported | {
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```
In [4]: df = store.select('monthly/data/m1998_01')
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ip... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4855/events | https://github.com/pandas-dev/pandas/pull/4855 | 19,577,233 | MDExOlB1bGxSZXF1ZXN0ODM2NDg4Ng== | 4,855 | CLN: _axis_len checking cleanup and better message | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4856/events | https://github.com/pandas-dev/pandas/pull/4856 | 19,578,499 | MDExOlB1bGxSZXF1ZXN0ODM2NTY3Ng== | 4,856 | COMPAT: unicode compat issue fix (GH4854) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4858/events | https://github.com/pandas-dev/pandas/pull/4858 | 19,589,883 | MDExOlB1bGxSZXF1ZXN0ODM3MTc3Nw== | 4,858 | TST: reproducing tests for subtle PyTables bug (disabled for now) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4859/events | https://github.com/pandas-dev/pandas/issues/4859 | 19,593,275 | MDU6SXNzdWUxOTU5MzI3NQ== | 4,859 | ENH: Allow fast comparisons of Index views, similar to 'is' checks. | {
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Very simple: both indices get an `_id` property that can be compared with `is` and is reset every time an object is created, so it only stays set when set explicitly (like in view(), but not in copy()). Adds an `is_` method that... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4860/events | https://github.com/pandas-dev/pandas/pull/4860 | 19,612,312 | MDExOlB1bGxSZXF1ZXN0ODM4MzU0OQ== | 4,860 | TST: dtypes tests fix for 32-bit | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4861/events | https://github.com/pandas-dev/pandas/issues/4861 | 19,615,146 | MDU6SXNzdWUxOTYxNTE0Ng== | 4,861 | Lookup using datetimes does not work with hierarchical indices containing periods | {
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"followers_url": "https://api.github... | 2 | 2013-09-17T13:48:56Z | 2018-11-20T02:00:06Z | 2018-11-20T02:00:06Z | CONTRIBUTOR | null | Lookup in a PeriodIndex using a datetime works as expected (the period in which the timestamp falls will be returned). However, when the PeriodIndex is part of a hierarchy, this functionality fails in a non-obvious way:
```
>>> s = pd.Series([1,2,3,4,5], pd.MultiIndex.from_arrays([["a", "a", "a", "b", "b"], pd.period_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4862/events | https://github.com/pandas-dev/pandas/issues/4862 | 19,625,605 | MDU6SXNzdWUxOTYyNTYwNQ== | 4,862 | DataFrame.unstack() fails when some index column values are NaN | {
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A DataFrame will fail to unstack() when one of the columns retained as an index has NaN values. The code below sets up a dataframe with NaN in some index entries, at which point calling unstack() will fail.
In the first failure, the exception message is that the index "has duplicate entri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4863/events | https://github.com/pandas-dev/pandas/pull/4863 | 19,636,136 | MDExOlB1bGxSZXF1ZXN0ODM5Njc3OQ== | 4,863 | BUG: Constrain date parsing from strings a little bit more #4601 | {
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Currently dateutil will parse almost any string into a datetime. This
change adds a filter in front of dateutil that will prevent it from
parsing certain strings that don't look like datetimes:
1) Strings that parse to float values that are less than 1000
2) Certain special one character strings (this w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4864/events | https://github.com/pandas-dev/pandas/pull/4864 | 19,644,903 | MDExOlB1bGxSZXF1ZXN0ODM5OTIzNg== | 4,864 | Panel tshift 4853 | {
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I think I'm doing this right. I moved the `tshift` into generic and had `shift` offload to `tshift` if `freq` is found.
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https://api.github.com/repos/pandas-dev/pandas/issues/4865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4865/events | https://github.com/pandas-dev/pandas/issues/4865 | 19,657,500 | MDU6SXNzdWUxOTY1NzUwMA== | 4,865 | [BUG] NumPy timedelta64 order of magnitude not changed during date operations | {
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``` python
In [7]: imp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4866/events | https://github.com/pandas-dev/pandas/issues/4866 | 19,659,155 | MDU6SXNzdWUxOTY1OTE1NQ== | 4,866 | Windows test failures | {
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Enthought Python 2.7 - 32 bit
VS2008 compiled cython+pandas
```
======================================================================
FAIL: test_round_trip_frame (pandas.io.tests.test_clipboard.TestClipboard)
----------------------------------------------------------------------
Traceback (most rec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4867/events | https://github.com/pandas-dev/pandas/issues/4867 | 19,660,002 | MDU6SXNzdWUxOTY2MDAwMg== | 4,867 | Generalize shift infrastructure. | {
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"labels_url": "htt... | 5 | 2013-09-18T03:18:27Z | 2014-04-01T20:55:04Z | 2014-04-01T20:55:04Z | CONTRIBUTOR | null | Currently `Panel.shift` has its own code-path that is 4 years old. Change it to use the generic `shift` code found in `generic.py`/`internals.py`.
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https://api.github.com/repos/pandas-dev/pandas/issues/4868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4868/events | https://github.com/pandas-dev/pandas/pull/4868 | 19,661,089 | MDExOlB1bGxSZXF1ZXN0ODQwNzkwOQ== | 4,868 | BUG: Fix for DateOffset's reprs. (GH4638) | {
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Before:
```
In [22]: WeekOfMonth(weekday=1,week=2)
Out[22]: <1 WeekOfMonth: week=2, kwds={'week': 2, 'weekday': 1}, weekday=1>
In [32]: QuarterEnd()
Out[32]: <1 QuarterEnd: startingMonth=3, offset=<3 MonthEnds>>
In [40]: BQuarterBegin()
Out[40]: <1 BusinessQuarterBegin: startingMonth=3, offset=<3 Busin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4869/events | https://github.com/pandas-dev/pandas/issues/4869 | 19,662,143 | MDU6SXNzdWUxOTY2MjE0Mw== | 4,869 | BUG: JSON iso date formatting incorrect on linux 32 bit | {
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In [2]: pd.json.dumps(pd.Timestamp('2013-01-01'), iso_dates=True)
Out[2]: '"699470488266606557-01-01T00:00:00.000Z"'
```
should be
``` python
In [4]: pd.json.dumps(pd.Timestamp('2013-01-01'), iso_dates=True)
Out[4]: '"2013-01-01T00:00:00.000Z"'
```
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https://api.github.com/repos/pandas-dev/pandas/issues/4870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4870/events | https://github.com/pandas-dev/pandas/pull/4870 | 19,663,159 | MDExOlB1bGxSZXF1ZXN0ODQwOTA1MA== | 4,870 | TST: windows dtype 32-bit fixes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4871 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4871/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4871/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4871/events | https://github.com/pandas-dev/pandas/pull/4871 | 19,664,781 | MDExOlB1bGxSZXF1ZXN0ODQwOTg4NQ== | 4,871 | FIX: iso date encoding year overflow | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4872/events | https://github.com/pandas-dev/pandas/issues/4872 | 19,678,799 | MDU6SXNzdWUxOTY3ODc5OQ== | 4,872 | BUG: pd.isnull with tuple argument returns different results compared to list argument | {
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"labels_url": "htt... | 10 | 2013-09-18T13:00:03Z | 2014-03-19T00:41:38Z | 2014-03-19T00:41:38Z | CONTRIBUTOR | null | It seems that pandas.isnull returns different results with tuple and list arguments. I would expect to see identical results with tuple argument.
Here is an example of the issue
``` python
>>> pd.version.version
'0.12.0'
>>> pd.isnull((3,2))
False
>>> pd.isnull([3,2])
array([False, False], dtype=bool)
```
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For example:
```
>>> pd.DataFrame(data=dict(a = [datetime.time()])).to_json()
...
OverflowError: Maximum recursion level reached
```
In contrast:
```
>>> pd.Data... | {
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"labels_url": "htt... | 31 | 2013-09-18T14:47:33Z | 2014-07-13T22:56:30Z | 2014-03-09T22:44:51Z | CONTRIBUTOR | null | closes #4867. First part of changing `Panel.shift` is to make `NDFrame.shift` work with any axis and number of dimensions.
Until Panel uses it, the only case of this is `DataFrame.shift(axis='columns')` which is added as a test.
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building 'pandas.algos' extension
gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector -... | {
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`self.assert_(x, y)` to `self.assertEqual(x, y)`. Also changes tests of the
form `self.assert_(x == y)` to `self.assertEqual(x, y)`.
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"labels_url": "htt... | 3 | 2013-09-19T02:53:01Z | 2014-02-27T19:27:44Z | 2014-02-27T19:27:44Z | MEMBER | null | ```
In [57]: # float dtype
In [58]: s = Series(rand(1000000))
In [59]: timeit s.mean()
1000 loops, best of 3: 1.03 ms per loop
In [60]: # int dtype
In [61]: s = Series(randint(100, size=1000000))
In [62]: timeit s.mean()
1000 loops, best of 3: 1.33 ms per loop
In [63]: # bool dtype
In [64]: s = Series(rand(10000... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4878/events | https://github.com/pandas-dev/pandas/issues/4878 | 19,725,137 | MDU6SXNzdWUxOTcyNTEzNw== | 4,878 | Issues Creating Period with DateOffset as freq | {
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"color": "0052cc",
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"description": "DateOffsets",
"id": ... | open | false | null | [] | {
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"f... | 18 | 2013-09-19T03:32:51Z | 2021-04-11T03:18:50Z | null | CONTRIBUTOR | null | Something seems wrong here:
```
print repr(pd.Period("2013-12", freq=pd.offsets.MonthEnd()))
```
correctly prints:
```
Period('2013-12', 'M')
```
but:
```
print pd.Period("2013-12", freq=pd.offsets.BusinessMonthEnd())
```
leads to:
```
Traceback (most recent call last):
File "/home/alex/g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4879/events | https://github.com/pandas-dev/pandas/issues/4879 | 19,747,335 | MDU6SXNzdWUxOTc0NzMzNQ== | 4,879 | AssertionError while boolean indexing with non-unique columns | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-09-19T10:33:28Z | 2013-09-19T12:55:15Z | 2013-09-19T12:55:15Z | CONTRIBUTOR | null | Hit this `AssertionError: cannot create BlockManager._ref_locs ...` while processing a dataframe with multiple empty column names. Appears to fail with 0.12/master and pass with 0.11.
```
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.rand(3,4), columns=['', '', 'C', 'D'])
df[df.C > .5]
```
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https://api.github.com/repos/pandas-dev/pandas/issues/4880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4880/events | https://github.com/pandas-dev/pandas/issues/4880 | 19,747,861 | MDU6SXNzdWUxOTc0Nzg2MQ== | 4,880 | read_csv: delim_whitespace ignored when skip_footer is set | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2013-09-19T10:48:00Z | 2016-07-26T08:41:47Z | 2016-07-26T08:41:43Z | NONE | null | The `delim_whitespace` options no longer works when specifying a `skip_footer` other then zero. I can replicate the behavior in 0.12 with the following example:
```
import pandas as pd
from StringIO import StringIO
indata = StringIO("""1.2 5.6 8.5
4.5 6.7 6.4
""")
indata.seek(0)
df = pd.read_csv(indata, de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4881 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4881/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4881/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4881/events | https://github.com/pandas-dev/pandas/pull/4881 | 19,751,305 | MDExOlB1bGxSZXF1ZXN0ODQ0OTIwMQ== | 4,881 | BUG: bug in getitem with a duplicate index when using where (GH4879) | {
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closes #4879
```
In [1]: df = DataFrame(np.arange(12).reshape(3,4), columns=['A', 'B', 'C', 'D'],dtype='float64')
In [2]: df
Out[2]:
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
In [3]: df[df.C>6]
Out[3]:
A B C D
2 8 9 10 11
In [4]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4882/events | https://github.com/pandas-dev/pandas/issues/4882 | 19,751,472 | MDU6SXNzdWUxOTc1MTQ3Mg== | 4,882 | pandas.core.groupby.DataFrameGroupBy to_csv method doesn't ouput csv file as expected | {
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>>> df1 = pd.DataFrame( {
"Name" : ["Alice", "Bob", "Mallory", "Mallory", "Bob" , "Mallory"] ,
"City" : ["Seattle", "Seattle", "Portland", "Seattle", "Seattle", "Portland"] } )
>>> g1 = df1.groupby( [ "Name" ] )
>>> print g1.head()
City Name
Name
Alice 0 Se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4883 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4883/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4883/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4883/events | https://github.com/pandas-dev/pandas/issues/4883 | 19,751,846 | MDU6SXNzdWUxOTc1MTg0Ng== | 4,883 | pandas.core.groupby.DataFrameGroupBy should provide a method to be converted into a (MultiIndex) DataFrame | {
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>>> df1 = pd.DataFrame( {
"Name" : ["Alice", "Bob", "Mallory", "Mallory", "Bob" , "Mallory"] ,
"City" : ["Seattle", "Seattle", "Portland", "Seattle", "Seattle", "Portland"] } )
>>> g1 = df1.groupby( [ "Name" ] )
>>> print g1.head()
City Name
Name
Alice 0 Se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4884/events | https://github.com/pandas-dev/pandas/issues/4884 | 19,755,416 | MDU6SXNzdWUxOTc1NTQxNg== | 4,884 | pandas.DataFrame.to_html() munges timestamp objects when formatters are used | {
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A pandas DataFrame containing a Timestamp-type column will display itself nicely in HTML if formatters are unused. However, if the user employs the `formatters` argument to set column-wise formatting, then the timestamp objects are somehow munged before reaching the given fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4885 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4885/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4885/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4885/events | https://github.com/pandas-dev/pandas/issues/4885 | 19,761,717 | MDU6SXNzdWUxOTc2MTcxNw== | 4,885 | Subtract one date from a pandas series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4886 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4886/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4886/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4886/events | https://github.com/pandas-dev/pandas/issues/4886 | 19,768,797 | MDU6SXNzdWUxOTc2ODc5Nw== | 4,886 | Rethink when HTML repr of DataFrame is displayed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4889 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4889/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4889/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4889/events | https://github.com/pandas-dev/pandas/issues/4889 | 19,780,508 | MDU6SXNzdWUxOTc4MDUwOA== | 4,889 | to_json of df with multi-index header, followed by read_json results in incorrectly formatted column headers | {
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I'm using a recent anaconda build on Windows, which includes v 0.12.0 pandas. I'm attempting to use a multi-index header, write it out to a json file, import it and get the same formatted dataframe. The column headers come out stacked vertically instead.
import numpy as np
import pandas as pd
pd.se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4890/events | https://github.com/pandas-dev/pandas/pull/4890 | 19,794,343 | MDExOlB1bGxSZXF1ZXN0ODQ3MzQ1Ng== | 4,890 | BUG/TST: Fix failing FRED comparison tests. | {
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"gi... | [] | closed | false | null | [] | null | 3 | 2013-09-20T04:02:15Z | 2014-07-01T18:53:21Z | 2013-09-20T04:29:12Z | CONTRIBUTOR | null | Fixes #4827
Assertions were being made about arrays (of one item) equaling
a scaler.
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https://api.github.com/repos/pandas-dev/pandas/issues/4891 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4891/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4891/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4891/events | https://github.com/pandas-dev/pandas/pull/4891 | 19,794,816 | MDExOlB1bGxSZXF1ZXN0ODQ3MzY5Nw== | 4,891 | BUG/TST: Fix failing FRED comparison tests and remove skips. | {
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"gi... | [] | closed | false | null | [] | null | 1 | 2013-09-20T04:28:00Z | 2017-04-05T02:05:40Z | 2013-09-20T08:01:33Z | CONTRIBUTOR | null | Replacing my mess of a PR in #4890.
Fixes #4827
Assertions were being made about arrays (of one item) equaling
a scaler.
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"labels_url": "htt... | 0 | 2013-09-20T12:19:28Z | 2014-04-11T22:33:35Z | 2014-04-11T22:33:35Z | CONTRIBUTOR | null | see #4850
`Series(range(5))[3.0]`
is accepted in 0.13, but ought to be deprecated (and warned)
ideally raise a `TypeError` after some transition period
note this does not really affect positional indexing fallback per se,
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https://api.github.com/repos/pandas-dev/pandas/issues/4893 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4893/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4893/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4893/events | https://github.com/pandas-dev/pandas/issues/4893 | 19,820,934 | MDU6SXNzdWUxOTgyMDkzNA== | 4,893 | eval - 'Call' nodes are not implemented | {
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df.eval("a.mean()")
raise:
NotImplementedError: 'Call' nodes are not implemented
i hope this will be possible
thank's
Gla
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https://api.github.com/repos/pandas-dev/pandas/issues/4894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4894/events | https://github.com/pandas-dev/pandas/issues/4894 | 19,821,224 | MDU6SXNzdWUxOTgyMTIyNA== | 4,894 | enhancement . applyeval | {
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"f... | 6 | 2013-09-20T14:44:16Z | 2014-05-29T07:43:47Z | 2014-05-29T07:43:47Z | NONE | null | df = P.DataFrame({'a':[1,1,2,2,3,3], 'b':range(6)})
How about a function applyeval
df.groupby('a').applyeval( "b/b.mean()" )
instead of:
df.groupby('a').apply( lambda x: x.eval( "b/b.mean()" ))
Thank you
Gla
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"f... | 0 | 2013-09-20T15:04:41Z | 2020-04-03T05:20:21Z | null | CONTRIBUTOR | null | `astype/convert_objects` should be able to do this type of coercion from string complex looking
```
In [45]: Series(['1.0+5j','1.5-3j']).apply(lambda x: np.complex(x))
Out[45]:
0 (1+5j)
1 (1.5-3j)
dtype: complex128
```
http://stackoverflow.com/questions/18919699/python-pandas-complex-number/18919965#18919965... | {
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... | 1 | 2013-09-20T15:28:18Z | 2016-03-03T02:24:25Z | 2016-03-03T02:24:25Z | NONE | null | Dropping the index column with index=False normally works OK, but if the column headings are from a MultiIndex, it fails to drop the empty `<th></th>` spacers at the start of the header, so data rows are not aligned properly:
```
df = pd.DataFrame([[1,1],[1,2],[2,3]],
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"f... | 5 | 2013-09-20T16:55:30Z | 2019-09-02T12:17:37Z | null | CONTRIBUTOR | null | This is not a Pandas issue but a [numpy one](https://github.com/numpy/numpy/issues/2522).
see also #5230
However, it is highly confusing and it could be appropriate to fix in Pandas by promoting `uint(2^x) dtypes to int(2^(x+1))` in `Series.diff()`.
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