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13,404
Merging on columns results in loss of categorical dtypes (cast to "object")
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2016-06-08T20:03:40Z
2017-02-06T00:10:54Z
2016-06-08T20:32:54Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` import pandas as pd import numpy as np a = pd.DataFrame({'numbers': np.arange(10), 'categories': list('abcabcabcd')}) a['categories'] = a['categories'].astype('category') b = pd.DataFrame({'numbers': np.arange(10)}) print a.dtypes print a.categories.cat.catego...
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13,405
ENH: implement 'reverse' for grouping
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2016-06-08T22:39:31Z
2016-06-09T11:35:14Z
2016-06-08T23:54:15Z
NONE
null
when there are lots of columns of index levels it is more convenient to specify the column or index level that should be merged rather than all of the other columns or index levels for example a multiindex dataframe ``` df.mean(level=['year', 'month', 'day', 'hour', 'min', 'trial']) ``` can be replaced with ``` df....
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ENH: parse categoricals in read_csv
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2016-06-08T23:31:14Z
2016-08-06T22:54:20Z
2016-08-06T22:53:22Z
CONTRIBUTOR
null
Closes #10153 (at least partly) Adds the ability to directly parse a `Categorical` through the `dtype` parameter to `read_csv`. Currently just uses whatever is there as the categories, a possible enhancement would be to allow and enforce user-specified categories, through not quite sure what the api would be. This o...
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13,407
DataFrame.values not a 2D-array when constructed from timezone-aware datetimes
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2016-06-09T00:03:39Z
2018-03-25T23:55:22Z
2018-03-25T23:55:22Z
NONE
null
When a DataFrame column is constructed from timezone-aware datetime objects, its `values` attribute returns a `pandas.DatetimeIndex` instead of a 2D numpy array. This is problematic because the datetime index does not support all operations that a numpy array does. #### Code Sample, a copy-pastable example if possible ...
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13,408
fillna() is incomplete after performing resample()
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2016-06-09T01:54:59Z
2016-06-09T11:54:26Z
2016-06-09T11:48:47Z
NONE
null
#### Code Sample Make data ``` >>> dates = pd.date_range('01-01-2015','01-07-2015', freq='B') >>> df = pd.DataFrame({'a':[1,2,np.nan,4,5],'b':[6,7,8,9,np.nan]}, dates) >>> print(df) a b 2015-01-01 1.0 6.0 2015-01-02 2.0 7.0 2015-01-05 NaN 8.0 2015-01-06 4.0 9.0 2015-01-07 5.0 NaN ``` Then ...
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13,409
ENH: reindex and align with two multiindex dataframes
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2016-06-09T12:16:22Z
2016-06-09T12:22:08Z
2016-06-09T12:21:49Z
NONE
null
The [Advanced reindexing and alignment](http://pandas.pydata.org/pandas-docs/stable/advanced.html#advanced-reindexing-and-alignment) section of the documentation describes a method for filling data based on a partial match of indexes. In this example, one level of a multiindex is dropped and data is copied based on ...
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13,410
ENH: Categorical.from_union
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2016-06-09T12:49:14Z
2021-05-01T22:10:01Z
null
CONTRIBUTOR
null
xref #13361 - [x] support union w `Series/CategoricalIndex` as well as `Categorical` #14199 - [x] add `ignore_order` to ignore the raising on an ordered Categorical (and just have it work) #15219 - [ ] do we want to put this in the `pd` namespace (or change its name). Consider `Categorical.from_union(...)`
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13,411
BUG: Fix inconsistent C engine quoting behaviour
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2016-06-09T13:18:35Z
2016-06-17T17:10:32Z
2016-06-17T16:39:07Z
MEMBER
null
1) Add significant testing to quoting in `read_csv` 2) Fix bug in C engine in which a NULL `quotechar` would raise even though `quoting=csv.QUOTE_NONE`. 3) Fix bug in C engine in which `quoting=csv.QUOTE_NONNUMERIC` wouldn't cause non-quoted fields to be cast to `float`. Relevant definitions can be found in the Pyth...
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13,412
BUG: in _nsorted for frame with duplicated values index
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2016-06-09T14:18:36Z
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2016-12-06T11:35:03Z
CONTRIBUTOR
null
The function below has been incorrectly implemented. If the frame has an index with duplicated values, you will get a result with more than `n` rows and not properly sorted. So `nsmallest` and `nlargest` for DataFrame doesn't return a correct frame in this particular case. ``` def _nsorted(self, columns, n, method, ke...
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159,473,774
MDExOlB1bGxSZXF1ZXN0NzMyNjA3NTE=
13,413
DOC- typo fix and adding correct command for environment deactivation…
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3
2016-06-09T18:15:56Z
2016-06-09T19:43:58Z
2016-06-09T19:16:27Z
CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry … for windows and linux
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159,495,169
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13,414
is there pandas.filter for values (not row or column labels)?
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5
2016-06-09T20:01:07Z
2016-06-09T22:55:25Z
2016-06-09T22:08:35Z
NONE
null
Right now I have to do the following: ``` python ix=None for ixi in [res[col].str.contains('string') for col in res.columns]: if ix is not None: ix = ix | ixi else: ix = ixi res[ix] ```
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13,415
DataFrame(recarray, columns=MultiIndex) disregards input data, gives empty DataFrame
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2
2016-06-09T22:06:00Z
2016-06-10T09:48:37Z
2016-06-10T09:48:32Z
CONTRIBUTOR
null
I previously posted this as a question (not knowing it was a bug) here: http://stackoverflow.com/questions/37732403/pandas-dataframe-from-multiindex-and-numpy-structured-array-recarray First I create a two-level MultiIndex: ``` import numpy as np import pandas as pd ind = pd.MultiIndex.from_product([('X','Y'), ('a',...
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13,416
Inconsistencies in groupby aggregation with non-numeric types
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2016-06-09T22:13:27Z
2021-05-01T22:12:08Z
null
CONTRIBUTOR
null
xref #13992 Some of the issues and inconsistencies I noticed. (Apologies for a bit lengthy input.) ##### Settings: ``` python df = pd.DataFrame({"A": [2, 1, 2, 2], "B": [3, 3, 4, 4], "C1": pd.Categorical([5, 6, 6, 6], [5, 6, 7]), "C2": pd.Categorical(list("aa...
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13,417
helper function - detect index columns in dataframe
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1
2016-06-09T22:50:21Z
2016-06-09T22:54:44Z
2016-06-09T22:54:44Z
NONE
null
Has anyone seen any method how to detect index column(s) in dataframe based on uniqueness of rows?
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13,418
BUG: Fix csv.QUOTE_NONNUMERIC quoting in to_csv
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4
2016-06-10T05:22:02Z
2016-06-16T12:32:47Z
2016-06-16T12:32:24Z
MEMBER
null
Closes #12922: "bug" traced to #12194 via bisection, where the float formatting was unconditionally casting everything to string. I say "bug" (with quotations) because the changes to `get_result_as_array` did **correctly** cast everything to string as per the documentation (i.e. it had inadvertently patched a bug itse...
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13,419
CLN: Remove the engine parameter in CSVFormatter and to_csv
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8
2016-06-10T06:05:26Z
2016-07-10T21:50:54Z
2016-07-10T21:50:36Z
MEMBER
null
Title is self-explanatory. Internal code and #6581 indicate that this was long overdue.
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13,420
DataFrame.groupby(grp, axis=1) with categorical grp breaks
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2016-06-10T10:17:09Z
2019-08-07T13:57:33Z
2019-08-07T13:57:33Z
NONE
null
While attempting to use `pd.qcut` (which returned a Categorical) to bin some data in groups for plotting, I encountered the following error. The idea is to group a DataFrame by columns (`axis=1`) using a Categorical. #### Minimal breaking example ``` >>> import pandas >>> df = pandas.DataFrame({'a':[1,2,3,4], 'b':[-1,...
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13,421
DataFrame from hierarchical NumPy recarray with hierarchical MultiIndex results in all NaN values
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2016-06-10T13:39:38Z
2016-06-10T20:13:30Z
2016-06-10T18:10:02Z
CONTRIBUTOR
null
I filed #13415 in which it was said that `DataFrame(recarray, columns=MultiIndex)` does reindexing and so only selects matching columns to be in the resultant frame. I can see how this might be a backward compatibility constraint. However, I have discovered a similar but different case which still seems broken: ``` ...
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13,422
Ggplot theme does not work correctly
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1
2016-06-10T14:44:13Z
2016-06-10T15:28:04Z
2016-06-10T14:50:23Z
NONE
null
I have a dataframe like this: ``` seasonname Core-no season Fall/Winter Spring/Summer Summery Core True Summer date_utc 2015-06-01 199.7825 111.1363 180.3559 166.6217 66.3297 2015-06-02 201.9999 111.9228 15...
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159,704,443
MDU6SXNzdWUxNTk3MDQ0NDM=
13,423
Setting NaN values on DataFrame with non-unique column names
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1
2016-06-10T19:22:40Z
2016-06-11T12:14:21Z
2016-06-11T12:14:01Z
NONE
null
#### Code Sample, a copy-pastable example if possible Something goes wrong when I try to set a NaN value using the iloc syntax. Instead of just the entry being set, the entire row gets set. ``` python import pandas as pd import numpy as np df = pd.DataFrame(np.arange(1,5).reshape(2,2), columns=["A"]*2) # this works l...
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13,424
bug in pandas.read_fwf
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12
2016-06-10T20:16:26Z
2016-10-21T18:57:28Z
2016-10-21T18:57:25Z
NONE
null
line 2549 of parsers.py should be ``` python self.delimiter = b'\r\n' + bytes(delimiter, 'utf8') if delimiter else b'\n\r\t ' ``` instead of ``` python self.delimiter = '\r\n' + delimiter if delimiter else '\n\r\t ' ``` otherwise an exception is going to be raised on line 2605 of the same module, as it expects `de...
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159,743,599
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13,425
ENH: add downcast to pd.to_numeric
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2016-06-10T23:53:24Z
2016-07-10T21:15:11Z
2016-07-10T21:12:56Z
MEMBER
null
Title is self-explanatory. Closes #13352.
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13,426
BUG: categorical unpickle to use _coerce_indexer_dtype
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2016-06-11T10:01:59Z
2016-07-05T10:42:47Z
2016-07-05T10:42:47Z
MEMBER
null
- [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry follow up for #13080 to use `_coerce_indexer_dtype`.
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13,427
BUG: duplicate indexing on non-integer index with positional indexers failing in py3
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2016-06-11T19:06:37Z
2021-05-17T15:17:29Z
2021-05-17T15:17:29Z
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#### Code Sample, a copy-pastable example if possible > > > df = pd.DataFrame({"a" : [0,1,2], "b" : [1,2,3]}) > > > df[["a", "a"]].apply(lambda x: x[0] + x[1], axis = 1) > > > #### Expected Output > > > > > > 0 0 > > > 1 2 > > > 2 4 > > > dtype: int64 > > > #### output of `pd.show_versions()` > > > > > > Tr...
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13,428
BUG: in _nsorted for frame with duplicated values index
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10
2016-06-12T04:11:50Z
2016-10-28T15:59:24Z
2016-10-28T15:59:24Z
CONTRIBUTOR
null
- [x] closes #13412 - [ ] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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159,823,238
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13,429
BUG/API: PeriodIndex doesn't support loc using partial string
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2016-06-12T11:42:51Z
2021-05-15T03:56:33Z
2021-05-15T03:56:33Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible `DataFrame.loc` supports partial string selection when it has `DatetimeIndex`. But it can't work if index is `PeriodIndex`. ``` ddf = pd.DataFrame(np.random.randn(10, 3), index=pd.date_range('2011-01-01', freq='H', periods=10)) ddf.loc['2011-01-...
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ENH: PeriodIndex now accepts pd.NaT
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2016-06-12T12:18:24Z
2016-06-14T21:26:17Z
2016-06-14T21:26:02Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Related to #12759. `PeirodIndex` can be created from list/array which contains `pd.NaT`. currently it raises: ``` pd.PeriodIndex([pd.NaT]) # ValueError: freq not specified and cannot be inferred from first element...
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13,431
BUG: different behaviors of sort_index() and sort_index(level=0)
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2016-06-12T14:13:48Z
2017-04-07T15:18:25Z
2017-04-07T15:18:25Z
CONTRIBUTOR
null
Inspired by some bug reports around multiindex sortedness (http://stackoverflow.com/questions/31427466/ensuring-lexicographical-sort-in-pandas-multiindex, #10651, #9212), I found that `sort_index()` sometimes can't make a multiindex ready for slicing, but `sort_index(level=0)` (so does `sortlevel()`) can. ``` python I...
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13,432
BUG: Index set operations issues
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17
2016-06-13T00:09:39Z
2021-05-17T15:17:29Z
2021-05-17T15:17:29Z
CONTRIBUTOR
null
Issues: - [x] `Index.difference` and `symmetric_difference` raise for mixed types (solved by #13514) - [x] `Index._get_consensus_name` incorrectly returns an empty index (solved by #13514) - [ ] bug in `Index.union` for non-unique indexes (see [comment](#issuecomment-226665776)) - [ ] bug in `Index.intersection` for n...
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159,934,133
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13,433
Assignment of multiple columns (hierarchical index) changes dtypes
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2016-06-13T12:02:06Z
2021-05-01T22:17:05Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible [data.zip](https://github.com/pydata/pandas/files/311709/data.zip) With the attached data (0.18.1 msgpack format), read the contained data frame and inspect the dtypes: ``` df = pd.read_msgpack('path/to/test.msg') print df.dtypes phases end date...
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13,434
read_html() doesn't handle tables with multiple header rows
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2016-06-13T13:24:04Z
2017-03-29T23:28:23Z
2017-03-29T23:28:23Z
NONE
null
The `read_html()` function seems to treat every `<th>` in a table as a column, even if they occur in separate `<tr>`s. This means that it breaks even on simple tables generated by pandas' `to_html()` function. #### Code Sample, a copy-pastable example if possible ``` df = pd.DataFrame( columns=["Name", "Age", "Par...
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13,435
BUG: df.pivot_table: margins_name ignored when aggfunc is a list
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2016-06-13T23:28:16Z
2016-06-18T15:25:37Z
2016-06-18T15:25:16Z
CONTRIBUTOR
null
- [ ] closes #13354 - [ ] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry
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160,090,373
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13,436
PERF: float hash slow in py3
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5
2016-06-14T03:31:30Z
2016-06-15T02:00:54Z
2016-06-15T01:48:21Z
CONTRIBUTOR
null
closes #13166, closes #13335 Using exactly the approach suggested by @ruoyu0088 significant changes in asv below ``` before after ratio - 8.88s 78.12ms 0.01 indexing.float_loc.time_float_loc - 13.11s 78.12ms 0.01 groupby.groupby_float32.time_groupby_sum ``` Factor of 10 small...
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13,437
installlation error
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2016-06-14T07:17:11Z
2016-06-16T22:48:30Z
2016-06-16T12:23:46Z
NONE
null
traceback(most recet call last): file "setup,py" , line 33 , in <module> ver =Cython. **version** atrribute error: 'module' object has no attribute ' **version** '
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13,438
ERR: invalid input to .str.replace does not raise
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2016-06-14T12:14:00Z
2016-06-16T21:02:21Z
2016-06-16T21:02:21Z
CONTRIBUTOR
null
This should raise; `None` is not an allowed option for the replacement. ``` In [2]: s = pd.Series(['a', 'b', None]) In [3]: s Out[3]: 0 a 1 b 2 None dtype: object In [4]: s.str.replace('a', None) Out[4]: 0 NaN 1 NaN 2 NaN dtype: float64 ``` cc @kwsmith
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Feature request: read_excel to support hyperlinks split into label and hyperlink
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12
2016-06-14T13:27:25Z
2021-05-01T22:17:29Z
null
NONE
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Situation: .xlsx file having a column with label and hyperlinks (see screenshot collage) In Excel, label: Python (that has a hyperlink to i.e.: www.python.org) #### Code Sample, a copy-pastable example if possible data = pd.read_excel('Book1.xlsx') column has just "Python" as content. Hyperlink information is lost. (s...
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13,440
BUG: alignment of CategoricalIndex
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14
2016-06-14T14:45:52Z
2016-07-09T14:23:15Z
2016-07-09T12:55:28Z
MEMBER
null
- [x] closes #13365 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry @jreback take this just as a wild guess of how to fix #13365 . If the approach makes sense, I will add tests, whatsnew and some more docs.
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13,441
BUG: Rolling negative window issue fix #13383
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2
2016-06-14T16:02:36Z
2016-06-21T10:09:36Z
2016-06-21T10:09:29Z
CONTRIBUTOR
null
- [x] closes #13383 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Added functionality in validate function of Rolling to ensure that window size is non-negative.
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160,222,440
MDU6SXNzdWUxNjAyMjI0NDA=
13,442
read_sql_query parse_dates regression from 0.18.0 to 0.18.1
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4
2016-06-14T16:13:17Z
2019-04-10T00:44:30Z
2019-04-10T00:44:30Z
CONTRIBUTOR
null
Based on a sqlite database [my_database.zip](https://github.com/pydata/pandas/files/314395/my_database.zip) created from the file [source.zip](https://github.com/pydata/pandas/files/314358/source.zip) in a table `my_table`. I get different results when parsing the dates in the method `read_sql_query` between version 0....
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160,256,831
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13,443
API: MultiIndex.labels -> codes
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11
2016-06-14T18:53:04Z
2018-12-05T19:06:01Z
2018-12-05T19:06:01Z
CONTRIBUTOR
null
The boat may have long sailed on this, but just for consideration. I semi-frequently get the `.levels` and `.labels` of a `MultiIndex` backwards. Maybe it's just me, but I think `labels` is the culprit, because in other pandas contexts, "labels" refer to the actual value of the thing. E.g. - `.loc` indexes by "label...
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13,444
Revert this when conda 4.1 is stabilized
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1
2016-06-14T21:40:00Z
2016-06-17T00:37:55Z
2016-06-17T00:37:39Z
CONTRIBUTOR
null
https://github.com/pydata/pandas/commit/8f3229227856af4feedb5894da9ccd4168a4e2a0 https://github.com/pydata/pandas/commit/eefe71e27131bc4848e549e3688ef6700b57b73a (partial revert) fixing to 4.0.8 seems 4.1 breaks things.
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13,445
Pandas series.rank(ascending=False) get rise to SIGSEGV error
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5
2016-06-15T07:37:50Z
2016-08-16T10:15:30Z
2016-08-16T10:15:29Z
NONE
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I read dataframe from hdf5 file and rank it. but It rise to a SIGSEGV. Maybe it's a numpy or table bug.. #### Code Sample, a copy-pastable example if possible import pandas as pd def test_df_ranks(f): df = pd.read_hdf(f, key="t") print (df.shape) print (type(df)) print (df) s=df.non_current_asse...
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13,446
Behaviour of .sum() inconsistent between Series and DataFrame when summing Decimals
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2
2016-06-15T09:05:42Z
2016-06-16T08:09:38Z
2016-06-15T11:56:45Z
CONTRIBUTOR
null
Using `sum()` on a Series of Decimal datatypes returns a Decimal. However, using `sum()` on a DataFrame of Decimal datatypes returns floats. I think it would be more consistent for the DataFrame `sum()` to return Decimals. #### Code Sample ``` python import pandas as pd from decimal import Decimal df = pd.DataFrame...
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13,447
Trying to print Series/DataFrame with column of void dtype throws exception
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2016-06-15T10:24:04Z
2016-06-15T15:34:34Z
2016-06-15T11:26:06Z
CONTRIBUTOR
null
Trying to print anything containing a V\* (void) type throws in `isnull`: ``` python >>> import numpy as np >>> import pandas as pd >>> arr = np.array([b'foo'], dtype='V') >>> arr array([[102 111 111]], dtype='|V3') >>> s = pd.Series(arr) >>> s[0] [102 111 111] >>> s TypeError: ufunc 'isnan' not supported for th...
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160,399,871
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13,448
BLD: py2.7 failing on perf hash changes (for windows)
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2016-06-15T11:30:26Z
2016-06-16T12:13:47Z
2016-06-16T12:13:47Z
CONTRIBUTOR
null
xref #13436 so this is failing on windows py2.7 (3.5 works fine). ``` pandas\algos.c(113380) : warning C4244: '=' : conversion from 'int' to '__pyx_t_5numpy_float32_t', possible loss of data pandas\algos.c(114441) : warning C4244: '=' : conversion from '__pyx_t_5numpy_int64_t' to '__pyx_t_5numpy_float64_t', possible...
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13,449
DOC: Corrected Series.str.extract documentation error
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1
2016-06-15T13:15:00Z
2016-06-15T13:25:16Z
2016-06-15T13:25:13Z
CONTRIBUTOR
null
Really small documentation fix, that rather confused me as I was first reading it (given the documentation contradicts itself). I believe this is the correct resolution. Let me know if I need to actually compile/test anything.
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13,450
ERR: fix error message for to_datetime
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2
2016-06-15T13:58:27Z
2016-06-16T12:18:44Z
2016-06-16T12:18:43Z
CONTRIBUTOR
null
- [x] ~~closes #xxxx~~ There is no issue for this. - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Fixes the error message when the argument to `to_datetime` doesn't match the format specified.
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160,438,398
MDU6SXNzdWUxNjA0MzgzOTg=
13,451
to_datetime can't handle int16 or int8
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1
2016-06-15T14:36:41Z
2016-06-17T22:04:34Z
2016-06-17T22:04:34Z
CONTRIBUTOR
null
#### Code sample ``` df = pd.DataFrame({'year': [2015, 2016], 'month': [2, 3], 'day': [4, 5]}) pd.to_datetime(df.astype('int16')) ``` #### Expected Output ``` 0 2015-02-04 1 2016-03-05 dtype: datetime64[ns] ``` #### output of `pd.show_versions()` `````` INSTALLED VER...
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160,458,616
MDU6SXNzdWUxNjA0NTg2MTY=
13,452
index disappears on groupby.rank()
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3
2016-06-15T15:55:35Z
2016-06-16T07:51:48Z
2016-06-16T07:51:44Z
NONE
null
df = pd.DataFrame({'A' : [1, 1, 3, 4], 'B': [7, 7, 7, 8], 'C': [5, 6, 7, 8], 'D': [5, 6, 7, 8]}) print(df) print("") print(df.groupby(["A", "B"]).rank()) print("") print(df.groupby(["A", "B"]).sum()) print("") print(df.groupby(["A", "B"]).count()) print("") #### Expected Output Would expect all three functions to show...
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160,499,155
MDU6SXNzdWUxNjA0OTkxNTU=
13,453
Resampler.nunique counting data more than once
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9
2016-06-15T19:05:16Z
2017-02-16T14:28:55Z
2017-02-16T14:28:47Z
CONTRIBUTOR
null
xref addtl example in #13795 Pandas `Resampler.nunique` appears to be putting the same data in multiple bins: ``` python import pandas as pd # Create a series with a datetime index index = pd.date_range('1-1-2000', '2-15-2000', freq='h') index2 = pd.date_range('4-15-2000', '5-15-2000', freq='h') index3 = index.appe...
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160,518,194
MDU6SXNzdWUxNjA1MTgxOTQ=
13,454
Exception when calling read_gbq : No module named discovery
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1
2016-06-15T20:38:26Z
2016-07-07T07:26:12Z
2016-07-07T07:26:12Z
CONTRIBUTOR
null
I ran into the following exception when using the pandas `read_gbq()` function. ``` 1 import pandas as pd ----> 2 pd.read_gbq('select * from SampleDataset.SampleTable', project_id='xxxxxxx') /usr/local/lib/python2.7/dist-packages/pandas/io/gbq.pyc in read_gbq(query, project_id, index_col, col_order, reauth, ver...
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160,525,643
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13,455
Feature Request: groupby retaining indexes
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11
2016-06-15T21:15:06Z
2016-06-17T12:49:24Z
2016-06-16T12:16:55Z
NONE
null
The feature I'd like to suggest/request is pretty simple, it has workarounds but it seems very odd to me that this is not a native behavior. Specially because the workarounds seem so slow. I imagine it as a simple parameter for the `groupby` function. The feature is: the ability to group a level (of a MultiIndex data...
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160,540,232
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13,456
BLD: use inline macro
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2
2016-06-15T22:39:24Z
2016-06-16T12:13:47Z
2016-06-16T12:13:47Z
CONTRIBUTOR
null
closes #13448 This built locally (on Windows) for py27 and py35.
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160,545,781
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13,457
PERF: large subset of block cast
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1
2016-06-15T23:21:50Z
2019-10-21T20:03:53Z
null
CONTRIBUTOR
null
from [SO](http://stackoverflow.com/questions/37845884/pandas-setting-column-subset-slow) I'm guessing there's a lot of inference / checks along this path, but this is slower than I'd expect. ``` python In [66]: df = pd.DataFrame(np.random.randint(0,1000, size=(10000, 1026))) ...: f = list(range(1024)) ...: ...
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160,563,451
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13,458
In gbq, use googleapiclient instead of apiclient
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9
2016-06-16T02:16:25Z
2016-07-07T07:26:19Z
2016-07-07T07:26:12Z
CONTRIBUTOR
null
- [ x ] closes #13454 - [ x ] tests added / passed - [ x ] passes `git diff upstream/master | flake8 --diff` - [ x ] whatsnew entry All gbq tests pass locally ``` tony@tonypc:~/parthea-pandas/pandas/io/tests$ nosetests test_gbq.py -v test_read_gbq_with_corrupted_private_key_json_should_fail (pandas.io.tests.test_gbq....
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160,609,255
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13,459
Test case failing - test_timezones.py:TestTimeZones.test_normalize_tz
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7
2016-06-16T08:49:44Z
2016-06-21T12:43:02Z
2016-06-21T12:43:02Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` nosetests pandas/tseries/tests/test_timezones.py:TestTimeZones.test_normalize_tz F ====================================================================== FAIL: test_normalize_tz (pandas.tseries.tests.test_timezones.TestTimeZones) ------------------------------...
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https://api.github.com/repos/pandas-dev/pandas/issues/13460
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160,616,713
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13,460
BUG: Fix for .str.replace with invalid input
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2
2016-06-16T09:26:20Z
2016-06-16T21:02:28Z
2016-06-16T21:02:21Z
CONTRIBUTOR
null
- [x] closes #13438 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry .str.replace now raises TypeError when replacement is invalid
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160,635,778
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13,461
Feature Request: Expose more parsing options in html_read
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3
2016-06-16T11:07:55Z
2016-07-21T14:16:50Z
2016-07-21T14:16:50Z
CONTRIBUTOR
null
I am trying to parse some HTML and would love to have `converters` (https://github.com/pydata/pandas/blob/master/pandas/io/parsers.py#L1582-L1586) exposed to the `read_html` function. Is there a reason why more parsing/all parsing options aren't exposed to `TextParser` at https://github.com/pydata/pandas/blob/master...
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160,659,710
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13,462
BUG: Fix a bug when using DataFrame.to_records with unicode column names
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2016-06-16T13:19:19Z
2017-02-27T19:45:10Z
2017-02-27T19:44:37Z
CONTRIBUTOR
null
Fix a bug when using DataFrame.to_records with unicode column names in python 2 - [x] closes #11879 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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13,463
to_msgpack() fails when data has "period"
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4
2016-06-16T15:51:59Z
2018-03-07T18:04:24Z
2018-03-07T18:04:24Z
NONE
null
to_msgpack() fails when the data has "period". This works in 0.16.2 #### ISSUE ``` import pandas as pd pd.DataFrame({'C': pd.period_range('2015-01-01', periods=3)}).to_msgpack() --------------------------------------------------------------------------- TypeError Traceback (most recent...
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13,464
BUG: fix to_datetime to handle int16 and int8
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2016-06-16T17:23:06Z
2016-06-17T22:04:40Z
2016-06-17T22:04:34Z
CONTRIBUTOR
null
- [x] closes #13451 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Fixes #13451
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13,465
appending with multi-level series converts to single-level series
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3
2016-06-16T18:24:04Z
2020-05-11T00:54:29Z
null
NONE
null
This was an issue that was fixed in 0.14.0, but has re-appeared in 0.18.1. The series s should have a mulit-level index, but in 18.1 it has a single-level index with a tuple for each value in the index. #### Code Sample, a copy-pastable example if possible ``` import pandas as pd from numpy.random import randn a = [[...
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13,466
BUG, dot product with empty dataframe
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1
2016-06-16T19:50:16Z
2016-06-16T20:03:01Z
2016-06-16T20:02:49Z
NONE
null
Dot product of empty dataframe resulted in dataframe filled with zeros. I thought the expected ones would be empty or NaN? In [3]: df = pd.DataFrame(index = ['a','b']) In [4]: srs = pd.Series() In [5]: df Out[5]: Empty DataFrame Columns: [] Index: [a, b] In [6]: srs Out[6]: Series([], dtype: float64) In [7]: df....
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13,467
API: NaT/nan mixed input coerces to timedelta64
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5
2016-06-16T21:24:07Z
2016-07-11T07:31:10Z
2016-07-11T07:31:10Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible `Index`/`Series` results in `datetime64` dtype if all inputs are `pd.NaT`. ``` pd.Index([pd.NaT, pd.NaT]) # DatetimeIndex(['NaT', 'NaT'], dtype='datetime64[ns]', freq=None) pd.Series([pd.NaT, pd.NaT]) #0 NaT #1 NaT # dtype: datetime64[ns] ``` However, it coe...
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13,468
iterrows: when upcasting to object, values are converted to python types
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2016-06-16T22:46:45Z
2021-05-01T22:22:40Z
null
MEMBER
null
I know `iterrows` is not the most recommended function, but I noticed a strange behaviour (triggered by a problem of a geopandas user: https://github.com/geopandas/geopandas/issues/348). When using `iterrows` on a df with mixed dtypes (so the resulting series is of object dtype), the numeric values are converted to pyt...
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13,469
Followup to #13358 asof-join
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3
2016-06-17T00:12:31Z
2016-06-17T13:19:04Z
2016-06-17T13:03:59Z
CONTRIBUTOR
null
xref #13358 - [ ] need full signature on deprecated `ordered_merge` - [ ] `pd.merge_asof()` for asof-style time-series joining, see :ref:`here <whatsnew_0182.enhancements.asof_merge>` for highlites
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160,792,174
MDU6SXNzdWUxNjA3OTIxNzQ=
13,470
feature request : lead/lag values based on timedeltas
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2016-06-17T00:54:22Z
2016-06-17T08:09:42Z
2016-06-17T00:59:56Z
NONE
null
Hello the Pandas team, It's me again ;-) Consider the following: ``` rng = pd.date_range('1/1/2011', periods=5, freq='T') ts = pd.DataFrame({'A' : np.random.randn(len(rng))}, index=rng) ts.drop(ts.index[[2,3]],inplace=True) # note how I delete some rows so that the index contains holes ts Out[37]: ...
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13,471
Is it possible for `rolling()` to set labels at any position within the window?
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4
2016-06-17T01:04:36Z
2021-06-23T15:41:07Z
2016-06-17T01:08:33Z
NONE
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By default `rolling()` sets labels (resulting values) at the "right edge" of the window. The right edge is where the window has the greatest index (biggest number, most recent date, etc.). `rolling()` does have an argument to center labels, but there doesn't seem to be a way to set the label at the left edge or anywh...
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160,793,652
MDU6SXNzdWUxNjA3OTM2NTI=
13,472
BLD: fix appveyor to work with latest conda/conda-build
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0
2016-06-17T01:11:56Z
2016-06-17T22:04:34Z
2016-06-17T22:04:34Z
CONTRIBUTOR
null
https://ci.appveyor.com/project/jreback/pandas-465/build/job/ic8ytmkwcc8nfucc Current are - `conda==4.1.1` is good - `conda-build==1.21.0` seems buggy a working version is: - `conda=4.0.8` - `conda-build=1.20.3` may need to fix the version if conda-build not fixed soon
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13,473
ENH: add errors='raise' option to rename
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2016-06-17T17:26:19Z
2020-06-17T01:29:17Z
2019-03-05T22:15:20Z
CONTRIBUTOR
null
Is there a reason that `.rename` doesn't raise if keys are supplied that don't exist? This caught me out a couple of times: ``` python In [14]: import pandas as pd In [15]: df=pd.DataFrame({'a': [1,2], 'b': [3,4]}) In [16]: df Out[16]: a b 0 1 3 1 2 4 In [17]: df.rename(columns={'a': 'c'}) Out[17]: c ...
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160,941,764
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13,474
Wrong dimensionality of .loc[a, b] when columns are MultiIndex with empty label
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2
2016-06-17T17:53:54Z
2021-05-01T22:23:42Z
null
MEMBER
null
#### Code Sample, a copy-pastable example if possible ``` In [2]: df = pd.DataFrame(0, index=range(2), columns=pd.MultiIndex.from_product([[1], [2]])) In [3]: df['oth'] = 1 In [4]: df.loc[0, 'oth'] Out[4]: 1 Name: 0, dtype: int64 In [5]: df.loc[0, 'oth'] += 1 In [6]: df.loc[0, 'oth'] Out[6]: NaN Name: 0, ...
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13,475
BUG: index.name not preserved in concat in case of unequal object index
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20
2016-06-17T18:17:26Z
2020-08-07T22:22:57Z
2020-08-07T22:22:56Z
NONE
null
xref #13742 for addl cases. ``` In [23]: df1 = pd.DataFrame({'a':[1,2]}, index=pd.Index(['a', 'b'], name='idx')) In [24]: df2 = pd.DataFrame({'b':[2,3]}, index=pd.Index(['b', 'c'], name='idx')) In [26]: pd.concat([df1, df2], axis=1) Out[26]: a b a 1.0 NaN b 2.0 2.0 c NaN 3.0 In [27]: print pd.concat([...
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160,959,742
MDU6SXNzdWUxNjA5NTk3NDI=
13,476
DataFrame.describe() no longer excludes NaN.
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2016-06-17T19:34:15Z
2016-06-17T19:36:40Z
2016-06-17T19:36:25Z
NONE
null
#### Code Sample, a copy-pastable example if possible In 0.18.1, a single NaN in a column will cause the reported percentiles to all be NaN. In 0.18.0 and according to the documentation, NaNs are excluded. ``` import pandas as pd import numpy as np df = pd.DataFrame(data={'blah': range(10) + [np.nan]}) df.describe(pe...
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13,477
BUG: Series/Index results in datetime/timedelta incorrectly if inputs are all nan/nat like
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2016-06-18T04:12:59Z
2016-07-11T07:31:21Z
2016-07-11T07:31:10Z
MEMBER
null
- [x] closes #13467 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff`
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13,478
Pythonic chained comparisons
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2
2016-06-18T06:11:42Z
2016-06-19T12:46:58Z
2016-06-18T10:51:52Z
NONE
null
#### Code Sample, a copy-pastable example if possible dtw[(x <= dtw.id < y)] #### Expected Output same as dtw[(x <= dtw.id) & (dtw.id < y)] or dtw.query('{}<=id<{}'.format(x, y)), but these solutions are less Pythonic
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13,479
Enhancement request for .get_values()
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2016-06-18T08:56:17Z
2016-06-18T14:46:08Z
2016-06-18T14:45:59Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible Hello, At the moment I have to call two methods, if I want to extract a numpy array from a DataFrame with a specific type. Let's assume for this example that `example_frame` contains only integers. If I want to force `int64` numbers, I have to write: ``` exampl...
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13,480
Change MultiIndex repr ?
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2016-06-18T09:49:19Z
2019-06-19T01:05:34Z
2019-06-19T01:05:34Z
MEMBER
null
From https://github.com/pydata/pandas/issues/13443#issuecomment-226037416 The current MultiIndex representation looks like this: ``` In [15]: mi = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ...: ('B', 3), ('B', 4)]) In [16]: mi Out[16]: MultiIndex(levels=[[u'A', u'B'], [1, 2, ...
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13,481
BUG: windows with TemporaryFile an read_csv #13398
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2016-06-18T16:09:28Z
2016-06-22T10:21:40Z
2016-06-22T10:21:28Z
CONTRIBUTOR
null
- [ x] closes #13398 - [ x] no tests added -> could not find location for IO tests? - [ x] passes `git diff upstream/master | flake8 --diff` Change the way of reading back to readline (consistent with the test before entering the function) One failure on Windows 10 (Python 3.5), but expected to fail actually (should...
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13,482
Incorrect use of super() in pandas core module
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2016-06-18T17:53:56Z
2016-06-18T21:19:02Z
2016-06-18T21:18:08Z
NONE
null
#### Existing Code In the pandas core module `base.py`, the `__sizeof__` member of the `PandasObject` class uses the following line: ``` return super(self, PandasObject).__sizeof__() ``` #### Expected Code This is an incorrect use of `super`, which is supposed to have the type argument before the object argument ([r...
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13,483
Dataframe pivot_table() returning a multi-index for a single value, empty dataframe
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2016-06-18T18:36:24Z
2021-02-24T16:39:01Z
2021-02-24T16:39:01Z
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#### Code Sample, a copy-pastable example if possible ``` In [1]: import pandas as pd In [2]: df = pd.DataFrame({'a': ['a1', 'a2', 'a3'], 'b': [1,2,3], 'c':['c1', 'c2', 'c3']}) In [3]: x = df[df['c'] == 'c1'] In [4]: y = x.pivot_table(index='a', columns='c', values='b') In [5]: y.columns Out[5]: Index([u'c1'], dty...
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13,484
BUG: is_normalized returned False for local tz
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2016-06-19T03:02:19Z
2016-06-21T12:43:08Z
2016-06-21T12:43:02Z
CONTRIBUTOR
null
- [x] closes #13459 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry is_normalized returned False for normalized date_range in case of local timezone 'Asia/Kolkata' Fixes: #13459
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13,485
ENH:read_html() handles tables with multiple header rows #13434
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2016-06-19T05:52:13Z
2016-11-16T22:27:09Z
2016-11-16T22:27:09Z
NONE
null
- [ ] closes #13434 - [ ] read_html() handles tables with multiple header rows Now it produces the following output for the issue Unnamed: 0 Age Party 0 Hillary 68 D 1 Bernie 74 D 2 Donald 69 R
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ENH: bad directive in to_datetime format - this uses std. strptime zone offset
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2016-06-19T07:16:05Z
2018-05-29T00:28:41Z
2018-05-29T00:28:41Z
NONE
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this is really bad for me since almost all linux logfiles contain zone offset. As far as I can see there is not workaround without parsing the timestamp twice. #### Code Sample, a copy-pastable example if possible _parse common Apache access log timestamp_ ``` pd.to_datetime(['28/Jul/2006:10:22:04 -0300'], format='%...
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13,487
DOC: add nbformat for notebook conversion
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2016-06-19T13:23:43Z
2017-04-05T02:06:51Z
2016-06-19T14:31:41Z
CONTRIBUTOR
null
The build [here](https://travis-ci.org/pydata/pandas/jobs/138633677#L1866) didn't succeed. Had `nbconvert` in the debs, but not `nbformat`.
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ENH: df.add fill_value NotImplementedError
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2016-06-19T17:52:18Z
2021-05-01T22:26:22Z
null
NONE
null
It appears that `fill_value` option for the `df.add()` method is not actually implemented in the source code. This was brought up in a[ StackOverflow question](http://stackoverflow.com/questions/37887796/pandas-dataframe-add-fill-value-notimplementederror). [piRSquared](http://stackoverflow.com/users/2336654/pirsquare...
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13,489
'sharex' keyword doesn't work for df.plot(kind='hist')
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2016-06-20T00:10:52Z
2021-05-01T22:27:27Z
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#### Code Sample: Dataframe: ``` gre gpa prestige 0 380.0 3.61 3.0 1 660.0 3.67 3.0 2 800.0 4.00 1.0 3 640.0 3.19 4.0 4 0520.0 2.93 4.0 ``` `df.plot.hist(figsize=(20, 10), layout=(2,3), subplots=True, sharex=False, bins=10);` Result: ![image](https://cloud.githubu...
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13,490
Symmetric difference on equal MultiIndexes raises TypeError
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2016-06-20T08:24:08Z
2017-05-31T11:56:52Z
2017-05-31T11:56:52Z
NONE
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Calling `symmetric_difference` on two equal multiindices results in a TypeError rather than an empty MultiIndex. This is surprising since calling `difference` on the same multiindices results in the expected empty MultiIndex. #### Code Sample, a copy-pastable example if possible ``` a = pandas.MultiIndex.from_product(...
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DOC: find kernelspec
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2016-06-20T12:29:13Z
2017-04-05T02:06:52Z
2016-06-20T14:34:09Z
CONTRIBUTOR
null
xref https://github.com/pydata/pandas/pull/13487 Problem was the notebook was written with a python3 kernel, but the doc build is python2. There are potentially problems here if you have non-default kernel names in your environment...
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ERR: raise on invalid coulmns using a fixed HDFStore
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2016-06-20T21:15:19Z
2017-06-04T10:44:26Z
2017-06-04T10:44:26Z
NONE
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#### Code Sample ``` idx = pd.Index(pd.to_datetime([datetime.date(2000, 1, 1), datetime.date(2000, 1, 2)]), name='cols') idx1 = pd.Index(pd.to_datetime([datetime.date(2010, 1, 1), datetime.date(2010, 1, 2)]), name='rows') s = pd.DataFrame(np.arange(4).reshape(2,2), columns=idx, index=idx1) print type(s.index.name) # T...
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DOC/WIP: travis notebook doc build
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2016-06-21T01:05:58Z
2017-04-05T02:06:58Z
2016-06-23T13:28:02Z
CONTRIBUTOR
null
Just want to see the output log from the pull request.
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TST: Fix MMapWrapper init test for Windows
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2016-06-21T08:58:04Z
2016-06-22T10:08:30Z
2016-06-22T10:08:30Z
MEMBER
null
Turns out Windows errors differently when an invalid `fileno` is passed into the `mmap` constructor, so there's no need to skip the test (xref: 9670b31).
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ValueError on eval after 'from pandas import *'
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2016-06-21T12:52:03Z
2016-06-21T12:56:30Z
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#### Test code [20160621 eval problem.txt](https://github.com/pydata/pandas/files/325599/20160621.eval.problem.txt) #### Expected Output Raises Value Error when using 'from pandas import *'. Executes as expected using 'import pandas'. Issue was raised originally at bugs.Python.org - Issue: 27361 but from there point...
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TST: Clean up tests of DataFrame.sort_{index,values}
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2016-06-22T07:15:59Z
2016-07-11T18:47:08Z
2016-07-11T18:21:06Z
CONTRIBUTOR
null
Before taking a stab at #10806, I looked at the relevant tests and they didn't make much sense to me. This commit fixes: - Some expected results were obtained by running code identical to what's being tested. (i.e. test could never fail) - Removed duplicate assertions testing the same functionality both in `test_sort_...
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read_csv includes the BOM of an utf8 file into the first column label
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2016-06-22T20:42:58Z
2016-06-23T08:17:44Z
2016-06-22T23:49:39Z
CONTRIBUTOR
null
Consider the following script: import pandas as PD df = PD.read_csv('sample.csv', encoding='utf8') print(df.columns[:5])
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13,498
Adding 'String search filter' functionality
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2016-06-23T11:49:47Z
2016-06-23T21:09:03Z
2016-06-23T21:09:03Z
NONE
null
Hey everyone, I was working on a project that involves working with data acquired via the world bank pandas api (i.e. `pandas.io.wb`). This library has a function called `pandas.io.wb.search(str)` which is very useful. In data transformation terms, it's basically does this- given a string 's', filter the dataframe by ...
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https://api.github.com/repos/pandas-dev/pandas/issues/13499
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13,499
DOC: fix accessor docs for sphinx > 1.3 (GH12161)
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2016-06-23T12:38:50Z
2016-06-23T15:37:45Z
2016-06-23T15:37:45Z
MEMBER
null
closes #12161 With this change, the links in the api summary to the accessor methods should work again.
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13,500
API: Expanded resample
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1
2016-06-23T13:42:17Z
2016-08-31T13:13:55Z
2016-08-31T13:13:55Z
CONTRIBUTOR
null
Idea after seeing the gitter between @ssanderson and @jorisvandenbossche Consider this data: ``` In [13]: df = pd.DataFrame({'date': pd.date_range('2015-01-01', freq='W', periods=5), 'a': np.arange(5)}, index=pd.MultiIndex.from_arrays([ ...
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13,501
Partial indexing with a list and hierarchical index
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2016-06-23T14:00:53Z
2021-05-17T15:17:29Z
2021-05-17T15:17:29Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible Teaching a pandas course. Attendee just came across this. Note that we index with a list instead of a tuple at the bottom. ``` python frame = pd.DataFrame(np.arange(12).reshape(( 4, 3)), index =[['a', 'a', 'b', 'b'], [1, 2, 1, 2]], ...
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DOC: various doc build fixes
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2016-06-23T15:30:18Z
2016-06-24T12:04:12Z
2016-06-24T12:04:12Z
MEMBER
null
Up to a clean doc build :-)
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Rolling(axis='columns').count() ignores axis= keyword
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2016-06-23T16:15:24Z
2019-04-28T16:45:40Z
2019-04-28T16:45:40Z
CONTRIBUTOR
null
addtl example on #13753 #### Code Sample, a copy-pastable example if possible ``` python In [1]: import pandas as pd In [2]: df = pd.DataFrame({'x': range(5), 'y': range(5)}) In [3]: df Out[3]: x y 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4 In [4]: df.rolling(2, axis='columns').sum() # meets expectations Out[4]...
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