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12,404
ENH: allow index to be referenced by name
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2016-02-21T07:16:43Z
2016-05-07T20:42:54Z
2016-05-07T17:45:31Z
NONE
null
- [x] closes #8162 and #10816 - [x] tests added - [x] tests passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Still missing are groupby support (#5677) and `.loc` support. Also, I wasn't sure if this deserves more than just a line in whatsnew, so I kept it small for now. With a stan...
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12,405
BUG: plotting with DatetimeIndex containing NaT
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2016-02-21T10:53:14Z
2017-05-20T21:59:19Z
2017-05-20T21:59:19Z
MEMBER
null
xref #8914 ``` In [1]: %matplotlib Using matplotlib backend: Qt4Agg In [2]: df = pd.DataFrame({'date': pd.date_range('2016-01-01', periods=5), 'vals ': range(5)}) In [3]: df.loc[2, 'date'] = np.nan In [4]: s = df.set_index('date')['vals'] In [5]: s Out[5]: date 2016-01-01 0 2016-01-02 1 NaT...
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12,406
COMPAT: numpy master changes, floordiv & getitem(nan)
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2016-02-21T15:17:47Z
2016-02-22T16:44:03Z
2016-02-22T16:44:03Z
CONTRIBUTOR
null
ERROR: type should be string, got "https://travis-ci.org/pydata/pandas/jobs/110280302\n\nThese indicate an indexing change with `nan` that now returns `TypeError` rather than `IndexError`, ok makes sense\n\n```\n======================================================================\nERROR: test_range_slice_day (pandas.tseries.tests.test_period.TestPeriodIndex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/tseries/tests/test_period.py\", line 2589, in test_range_slice_day\n idx[v:]\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/tseries/base.py\", line 175, in __getitem__\n result = getitem(key)\nTypeError: slice indices must be integers or None or have an __index__ method\n\n======================================================================\nERROR: test_range_slice_seconds (pandas.tseries.tests.test_period.TestPeriodIndex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/tseries/tests/test_period.py\", line 2643, in test_range_slice_seconds\n idx[v:]\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/tseries/base.py\", line 175, in __getitem__\n result = getitem(key)\nTypeError: slice indices must be integers or None or have an __index__ method\n```\n\nSo our comparison in this test changed. So we need to make this change for 0.18.0 as well [here](https://github.com/pydata/pandas/blob/master/pandas/src/sparse.pyx#L1002), where these should be `NaN` and not `inf`.\n\n```\nSo numpy now returns:\nIn [1]: np.__version__\nOut[1]: '1.12.0.dev0+7d4d26a'\n\nIn [3]: np.array([3])//np.array([0],dtype='float64')\nOut[3]: array([ nan])\n\nIn [2]: np.float64(3)//np.float64(0)\nOut[2]: nan\n\nIn [3]: np.__version__\nOut[3]: '1.10.4'\n\nIn [4]: np.float64(3)//np.float64(0)\nOut[4]: inf\n\nIn [7]: np.array([3])//np.array([0],dtype='float64')\nOut[7]: array([ inf])\n```\n\n```\n======================================================================\nFAIL: test_sparse_series_ops (pandas.sparse.tests.test_sparse.TestSparseDataFrame)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/sparse/tests/test_sparse.py\", line 1151, in test_sparse_series_ops\n self._check_frame_ops(self.frame)\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/sparse/tests/test_sparse.py\", line 1221, in _check_frame_ops\n _compare_to_dense(frame, s, frame.to_dense(), s.to_dense(), f)\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/sparse/tests/test_sparse.py\", line 1194, in _compare_to_dense\n exact_indices=False)\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/sparse/tests/test_sparse.py\", line 95, in assert_sp_frame_equal\n assert_series_equal(series.to_dense(), right[col].to_dense())\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/util/testing.py\", line 999, in assert_series_equal\n check_less_precise, obj='{0}'.format(obj))\n File \"testing.pyx\", line 58, in pandas._testing.assert_almost_equal (pandas/src/testing.c:3254)\n File \"testing.pyx\", line 147, in pandas._testing.assert_almost_equal (pandas/src/testing.c:2395)\n File \"/Users/jreback/miniconda/envs/numpy_dev/pandas/pandas/util/testing.py\", line 867, in raise_assert_detail\n raise AssertionError(msg)\nAssertionError: Series are different\n\nSeries values are different (10.0 %)\n[left]: [nan, nan, nan, inf, 4.0, 2.0, 2.0, 1.0, 1.0, 1.0]\n[right]: [nan, nan, nan, nan, 4.0, 2.0, 2.0, 1.0, 1.0, 1.0]\n```\n"
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12,407
Doc fix for sas7bdat
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1
2016-02-21T16:20:54Z
2016-02-22T11:18:41Z
2016-02-22T11:18:32Z
CONTRIBUTOR
null
Minor doc fixes following merge of PR #12015.
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12,408
index_col result is unexpected when usecols is used to skip a column
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2016-02-21T17:46:54Z
2016-02-22T14:13:15Z
2016-02-22T14:13:15Z
NONE
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#### Code Sample, a copy-pastable example if possible ``` python """Example of Pandas bug.""" from pandas import read_csv try: from StringIO import StringIO except ImportError: from io import StringIO csv = """A, B, C 1, 2, 3""" def message(msg): """Print message.""" msg_len = len(msg) + 2 print...
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12,409
date_range breaks with tz-aware start/end dates and closed intervals in 0.18.0.rc1
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2016-02-21T18:51:05Z
2016-02-23T14:54:21Z
2016-02-23T14:54:21Z
CONTRIBUTOR
null
The following works on 0.17.1 but breaks on the release candidate 0.18.0.rc1 ``` >>> import pandas as pd >>> pd.date_range(start=pd.Timestamp('20150101', tz='UTC'), end=pd.Timestamp('20150105', tz='UTC'), closed='left') DatetimeIndex(['2015-01-01', '2015-01-02', '2015-01-03', '2015-01-04'], dtype='datetime64[ns, UTC]'...
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12,410
BUG: date_range breaks with tz-aware start/end dates and closed intervals #12409
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2016-02-21T19:51:40Z
2016-02-23T14:54:21Z
2016-02-23T14:54:21Z
CONTRIBUTOR
null
- [X] closes #12409 - [X] tests added / passed - [X] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry - not added since this fixes a pre-release bug do comparison for closed intervals on UTC basis prior to tz conversion added tests for date_range covering case of tz-aware start/end dates with cl...
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Unexpected output using brackets vs. parents in dataframe.loc
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16
2016-02-22T02:13:44Z
2016-03-23T17:56:45Z
2016-03-23T17:56:45Z
NONE
null
I have a dataframe, `a_dataframe`. I want to access the value at index=a, column=0. I can do this successfully with `a_dataframe.loc["a", "0"]`. However, `a_dataframe.loc("a", "0")` returns an object! Note: parens, no brackets. I am new to Pandas, so this was very unexpected behavior in the API. I would think the API ...
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https://api.github.com/repos/pandas-dev/pandas/issues/12412
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135,297,217
MDU6SXNzdWUxMzUyOTcyMTc=
12,412
Add type stub files to python's typeshed
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21
2016-02-22T02:41:47Z
2020-05-18T17:09:57Z
2020-05-18T17:09:56Z
CONTRIBUTOR
null
Same issue as xarray: https://github.com/pydata/xarray/issues/771, resolved with https://github.com/pydata/xarray/pull/773. OK to do the same to `NDFrame`?
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135,333,837
MDExOlB1bGxSZXF1ZXN0NjAxMzE5MTk=
12,413
BUG: Matched SearchedSorted Signature with NumPy's
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55
2016-02-22T06:50:35Z
2016-03-17T23:54:43Z
2016-03-17T23:46:50Z
MEMBER
null
Title is self-explanatory. Closes #12238.
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135,337,727
MDExOlB1bGxSZXF1ZXN0NjAxMzM2NjA=
12,414
MAINT: More informative TypeError for IndexEngine.get_loc
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24
2016-02-22T07:14:23Z
2016-02-24T03:21:50Z
2016-02-24T00:05:40Z
MEMBER
null
Title is self-explanatory. Closes #12218.
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135,349,222
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12,415
DataFrame.apply behaves inconsistently when a list returned by the function
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2016-02-22T08:25:30Z
2016-02-22T21:04:31Z
2016-02-22T14:10:17Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` import pandas as pd df = pd.DataFrame({'a':[1,2,3], 'b':[4,5,6]}) assert type(df.apply(lambda column: [1,2])) == pd.Series assert type(df.apply(lambda column: [1,2,3])) == pd.DataFrame # when list length matches the relevant df size, the result is DF; otherwise...
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135,385,662
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12,416
Wrong behaviour/error when indexing MultiIndex with list
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12
2016-02-22T11:04:17Z
2017-04-17T20:44:25Z
2017-04-17T20:44:25Z
MEMBER
null
``` In [2]: df = pd.DataFrame(index=range(2), columns=pd.MultiIndex.from_product([[10,20], ['a', 'b']])) In [3]: df[[20]] --------------------------------------------------------------------------- IndexError Traceback (most recent call last) <ipython-input-3-8422ebb3f356> in <module>() ...
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https://api.github.com/repos/pandas-dev/pandas/issues/12417
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135,387,136
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12,417
ENH decimal parameter to to_latex and to_html, #12031
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2
2016-02-22T11:12:07Z
2016-02-23T19:29:43Z
2016-02-23T18:50:26Z
CONTRIBUTOR
null
- [x] closes #12031 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry I just pass on the `decimal` parameter. All the machinery was already in place.
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135,421,886
MDExOlB1bGxSZXF1ZXN0NjAxNzQ5NzA=
12,418
COMPAT: fixes for numpy compat
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0
2016-02-22T13:47:14Z
2016-02-22T16:44:03Z
2016-02-22T16:44:03Z
CONTRIBUTOR
null
test_period and slicing exception with nan compat in sparse for floordiv with 0, now returns NaN rather than inf closes #12406
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12,419
DOC: xray -> xarray
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2
2016-02-22T14:45:12Z
2016-02-22T17:04:02Z
2016-02-22T16:44:53Z
MEMBER
null
@shoyer just came across this in the docs. These should be the only (remaining) mentions of xray
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12,420
BUG: Simultaneous access to different DataFrame instances by different threads should be safe
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2016-02-22T18:34:20Z
2016-02-23T10:25:36Z
2016-02-22T18:54:18Z
NONE
null
I need to perform computations in Pandas in multiple threads. None of the dataframes are shared across running threads. Although there is some race condition witch causes the interpreter to crash. I Googled for help and [found this](http://stackoverflow.com/questions/25782912/pandas-and-numpy-thread-safety). The snip...
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12,421
Notes about unique vs cat.categories #12278
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2016-02-22T18:48:30Z
2016-02-23T14:57:23Z
2016-02-23T14:57:16Z
CONTRIBUTOR
null
- [x] closes #12278 - [ ] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] adding notes about .unique() and .cat.categories (as suggested in [#12278 (comment)](https://github.com/pydata/pandas/issues/12278#issuecomment-182445522))
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12,422
ix bug?
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2016-02-23T02:36:59Z
2016-11-11T11:38:14Z
2016-11-11T11:38:02Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` dat_train, dat_test = train_test_split(dat, test_size=0.3, random_state=110) dat_train[features] = dat_train[features].values # SettingWithCopyWarning dat[features] = dat[features].values # right dat_train = dat_train.ix[dat_train.index] dat_train[features] ...
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12,423
Abbreviate MultiIndex representation
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2016-02-23T04:24:17Z
2019-06-19T01:05:34Z
2019-06-19T01:05:34Z
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We are using pandas to do analysis on a moderately large size dataset (10s of millions of events). In the process, we create a MultiIndex object in order to store the data. While I was debugging, I repeatedly ran into an issue where the MultiIndex object tried to print out the entire very long array. I've included c...
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12,424
pd.to_datetime raises AttributeError with specific inputs when errors='ignore'
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2016-02-23T10:57:08Z
2016-08-05T19:52:18Z
2016-08-05T19:52:05Z
NONE
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I'm trying to import a csv file into a PostgreSQL table using [odo](https://github.com/blaze/odo). During import, `odo` tries to automatically detect date columns using `pd.to_datetime` with `errors='ignore'`. However, with one of my columns (that isn't a date column, it's some kind of zip code), `pd.to_datetime` raise...
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12,425
Stripped timedelta[s] series represented as timedelta[ns]
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2016-02-23T12:10:46Z
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MEMBER
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``` In [2]: s = pd.Series(range(61)).astype('timedelta64[s]') In [3]: s.tail(1) Out[3]: 60 00:01:00 dtype: timedelta64[s] In [4]: str(s).splitlines()[-2] Out[4]: '60 00:00:00.000000' ``` ... because the snipped representation interprets the content of the series as nanoseconds rather than milliseconds. The same...
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12,426
ENH/API: Timeseries Arithmetic frequency Alignment
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3
2016-02-23T14:43:47Z
2021-04-23T01:02:52Z
null
CONTRIBUTOR
null
It'd be nice if there was a way to easily broadcast arithmetic operations on Series/DataFrames with `DatetimeIndexes`. For example, say you have monthly data, calculate the monthly mean, and want to multiply the original series by the monthly factor. ``` python import numpy as np import pandas as pd idx = index=pd.dat...
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12,427
HDFStore doesn't record correct pandas version in store attributes
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2016-02-23T14:59:00Z
2016-02-23T15:18:58Z
2016-02-23T14:59:29Z
CONTRIBUTOR
null
``` python In [103]: pd.__version__ Out[103]: '0.17.1' In [104]: store = pd.HDFStore('store.h5') ...: df = pd.DataFrame(np.random.randn(8, 3), columns=['A', 'B', 'C']) ...: store['df'] = df ...: store.get_storer('df').attrs.pandas_version ...: Out[104]: '0.15.2' # should be 0.17.1 In [105]: pd.sh...
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12,428
DOC: improve documentation for building extensions on windows
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pandas-svn mailing list?
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2016-02-23T18:01:55Z
2016-11-15T23:00:56Z
2016-11-15T22:53:11Z
MEMBER
null
Upstream repositories like `numpy` and `scipy` have a `numpy-svn` and `scipy-svn` mailing list that is used to avert users of commits / merges to the `master` branch. You can find those lists <a href="http://www.scipy.org/scipylib/mailing-lists.html">here</a> here. I personally find it useful to get such emails becau...
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12,430
Cython-optimized expanding apply transformations
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6
2016-02-23T18:04:33Z
2020-05-13T02:11:39Z
null
NONE
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I was generating lots of features for time-dependent data, and ended up writing a lot of expanding apply operations in Cython. Would the community want something like this? Imagine you have a dataframe with an "entity" column, a "time" column and some numeric "feature" column, and you want to calculate the expanding su...
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DOC:Fix micro-typo
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2
2016-02-23T21:30:23Z
2016-02-23T21:59:59Z
2016-02-23T21:59:56Z
CONTRIBUTOR
null
Removes a extraneous µ from the docs.
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MDU6SXNzdWUxMzU4OTI4NjU=
12,432
conda build alternatives for Windows?
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1
2016-02-23T22:58:12Z
2016-11-27T05:13:56Z
2016-11-27T05:13:56Z
MEMBER
null
`conda` has been the widely suggested method for building / developing `pandas` on Windows. However, given that upstream libraries like `numpy` and `scipy` are in the process / can be supported with many other build environments on Windows, it seems natural that `pandas` should support alternative build environments g...
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12,433
Panel resample fails for degenerate panels
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2016-02-24T01:16:08Z
2018-07-06T20:21:09Z
2017-07-11T09:52:44Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` import numpy as np import pandas as pd dr = pd.date_range('20100101','20151231',freq='T') p1 = pd.Panel(items = dr, data=np.random.randn(len(dr),3,3)) #this works p2 = p1.resample('D', axis=0, how='last') p3 = pd.Panel(items = dr, data=np.random.randn(len(dr),...
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12,434
BUG: reshaping of Panel breaking with datetimeindex
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2016-02-24T01:43:35Z
2018-07-06T20:21:09Z
2017-07-11T09:53:17Z
CONTRIBUTOR
null
``` In [32]: pd.__version__ Out[32]: '0.18.0rc1+40.gbd1eebb' ``` ``` In [23]: dr = pd.date_range('20150101','20150131',freq='T') In [24]: p1 = pd.Panel(items = dr, data=np.random.randn(len(dr),3,3)) In [25]: p1 Out[25]: <class 'pandas.core.panel.Panel'> Dimensions: 43201 (items) x 3 (major_axis) x 3 (minor_axis) It...
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136,016,719
MDU6SXNzdWUxMzYwMTY3MTk=
12,435
read_csv false_values only partially applied
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2016-02-24T10:21:44Z
2016-02-24T10:48:16Z
2016-02-24T10:47:31Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` python import pandas as pd import numpy as np pd.DataFrame({'one' : pd.Series(["NULL", "1", "0"])}).to_csv("test.txt") print pd.read_csv("test.txt", usecols=(1, ), dtype={'one': np.bool}, false_values=['0', 'NULL'], true_values=['1']) ``` Output: ``` one...
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12,436
WARN: matplotlib warnings
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4
2016-02-24T13:37:03Z
2016-04-25T23:21:51Z
2016-04-25T15:20:05Z
CONTRIBUTOR
null
anyone know the reason for these? https://travis-ci.org/pydata/pandas/jobs/111469225 only seem to be on py3. ``` /home/travis/miniconda/envs/pandas/lib/python3.5/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment. warnings.warn('Mat...
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136,076,334
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12,437
BUG: datetimelike subtract incorrect when broadcasting
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6
2016-02-24T14:26:37Z
2018-10-26T02:40:27Z
2018-10-26T02:40:27Z
MEMBER
null
``` In [2]: base, step = 10**15, 10**14 In [3]: data = range(base, base+3*step, step) In [4]: df = pd.DataFrame({i : data for i in range(3)}).astype('datetime64[ns]') In [5]: s = pd.Series(data).astype('datetime64[ns]') In [6]: df Out[6]: 0 1 2 0 1970-01-12 1...
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12,438
BLD: Travis dedup via webhooks
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2016-02-24T14:43:01Z
2017-03-22T21:39:51Z
2017-03-22T13:58:04Z
CONTRIBUTOR
null
Came across this just now https://github.com/grosser/travis_dedup It sounds like it cancels old builds on a PR. It works via github webhooks.
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DOC: fix links in contributing.rst
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2
2016-02-24T15:59:05Z
2016-02-24T16:23:18Z
2016-02-24T16:23:18Z
CONTRIBUTOR
null
fixup for #12428
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136,140,676
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12,440
calling mean on groupby of timedelta does not work
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2016-02-24T18:07:34Z
2016-02-24T18:49:13Z
2016-02-24T18:11:29Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible This works: ``` print pd.DataFrame([pd.Timedelta(1)]).groupby(level=0).sum() 0 0 00:00:00.000000 ``` but this does not: ``` print pd.DataFrame([pd.Timedelta(1)]).groupby(level=0).mean() ------------------------------------------------------------...
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https://api.github.com/repos/pandas-dev/pandas/issues/12441
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12,441
ImportError after installing rc18 -- help
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2016-02-24T20:11:26Z
2016-02-25T00:06:22Z
2016-02-25T00:05:57Z
NONE
null
#### Code Sample, a copy-pastable example if possible after installing pandas rc18, getting import error ``` --------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-2-26dfcabfb474> in <module>() ----> 1 from...
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12,442
DOC: Add examples and notes to empty documentation
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2016-02-24T20:16:00Z
2016-02-26T02:14:46Z
2016-02-26T02:13:43Z
CONTRIBUTOR
null
- [x] closes #12393 - [x] passes `git diff upstream/master | flake8 --diff` Added notes and examples to provide clarity around the issue discussed in #12393. This is my first contribution to pandas, so let me know if I need to fix anything.
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12,443
read_csv: silently skips null values from single column CSV
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2016-02-25T08:24:24Z
2016-08-21T02:41:02Z
2016-08-21T02:41:02Z
NONE
null
`pd.read_csv()`'s `skip_blank_lines` parameter defaults to `True` I'm not sure if that is a good idea? If I write away a dataframe that has 1 column and includes N null values to a CSV, without writing away an index (`index=False`), then I do not expect that when I read the dataframe back from that CSV the result is...
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12,444
Cannot set with indexer when indexer is of length 1
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4
2016-02-25T13:25:41Z
2016-02-25T15:24:06Z
2016-02-25T15:23:15Z
NONE
null
When setting using an indexer which is of length one I get AttributeError on assignment. The same error occurs with series of length greater than 1 and with indexer of length 1, but does not occur in the latter scenario if the indexer is of length greater than one. The .iloc[indexer] below returns a Series. Encounter...
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12,445
to_html local float_format decimal representation
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2016-02-25T15:41:44Z
2016-02-25T23:27:09Z
2016-02-25T17:35:18Z
NONE
null
Hello, Because of the decimal symbol I'm forced to use the following code. The problem is when the using is "big", for example: 1 356 747 -> 1,35675e+06. Is there any work around? import locale loc = locale.getlocale() # get current locale locale.setlocale(locale.LC_NUMERIC, "Portuguese_Portugal") html_table = df.t...
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12,446
tz_localize NonExistentTimeError: 2013-03-31 02:00:00
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2016-02-25T17:56:05Z
2016-02-25T19:09:42Z
2016-02-25T19:09:33Z
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Hello I'm having troubles with the tz_localize function. I run the code : ``` df = pd.read_csv('input.csv', sep=";", index_col='Date Time', decimal=',') df.index = pd.to_datetime(df.index, unit='s').tz_localize('Europe/Rome') ``` and I get this error: ``` Traceback (most recent call last): File "/usr/lib/...
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12,447
pandas_for_finance TypeError: [unicode] is not implemented as a table column
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2016-02-25T22:35:02Z
2016-02-25T22:45:46Z
2016-02-25T22:45:30Z
NONE
null
#### Code Sample, a copy-pastable example if possible p.to_hdf('quotes.hdf','df',format='table') #### Expected Output Saves files #### output of `pd.show_versions()` Traceback (most recent call last): File "<ipython-input-15-7be322c5e66c>", line 1, in <module> p.to_hdf('quotes.hdf','df',format='table') Fil...
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12,448
Breaking examples due to resample refactor
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2
2016-02-25T23:47:06Z
2016-03-08T23:39:51Z
2016-03-08T23:39:51Z
MEMBER
null
While using master a bit, I discovered some more cases where the new resample API breaks things: - Plotting. `.plot` is a dedicated groupby/resample method (which adds each group individually to the plot), while I think it is a very common idiom to quickly resample your timeseries and plot it with (old API) eg `s.resam...
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12,449
BUG: resample fixes
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24
2016-02-26T02:00:01Z
2016-04-19T13:00:54Z
2016-03-08T23:39:51Z
CONTRIBUTOR
null
make sure .resample(...).plot() warns and returns a correct plotting object make sure that .groupby(...).resample(....) is hitting warnings when appropriate closes #12448
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12,450
Feature request: groupby.plot() generate subplots not working
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2016-02-26T07:03:04Z
2021-04-23T01:03:17Z
null
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null
I want to make plots of grouped data, where each plot is plotted in a subplot: I tried without any kwargs in plotting command, i tried with kwargs `subplots=True` and with `layout=(3,1)` but always only one plot which includes every group is plotted My code: ``` import sys import datetime import matplotlib.pyplot as ...
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136,618,325
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12,451
Feature request: groupby.hist() plot each hist in a subplot
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2016-02-26T07:24:09Z
2016-02-26T12:13:23Z
2016-02-26T12:13:23Z
NONE
null
I'd like to use the kwarg `subplots=True` when plotting histogramms of groupby My code: ``` import os import sys import datetime import matplotlib.pyplot as plt import pandas as pd import matplotlib.dates as mdates import numpy as np %matplotlib notebook dates = pd.date_range('2013-07-14 11:00:00', '2013-07-16 11:...
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12,452
Feature request: groupby.plot() and groupby.hist() add groupname as figure title
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2016-02-26T08:56:10Z
2021-04-23T01:03:45Z
null
NONE
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Hello! I'm plotting histogramms and line plots from a groupby - object. It works fine and for each group a figure is generated. But i think a nice feature would be to automatically add the groupname (label) as figure title to each figure. Below you can see a line and a histplot from one group ![groupby_plot](https://c...
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12,453
BUG: excel export merge margin
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2016-02-26T12:33:57Z
2016-06-06T23:20:34Z
2016-06-06T23:20:34Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` df = pd.DataFrame([ {"JOB": "Worker", "NAME": "Bob", "YEAR": 2013, "MONTH": 12, "DAYS": 3, "SALARY": 17}, {"JOB": "Employ", "NAME": "Mary", "YEAR": 2013, "MONTH": 12, "DAYS": 5, "SALARY": 23}, {"JOB": "Worker", "NAME": "B...
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12,454
Feature Request: enhance DatetimeIndex formatting if freq=None
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2016-02-26T12:42:12Z
2021-04-23T01:04:29Z
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I have a Dataframe with a DatetimeIndex spanning more than one day (`freq=1D`). From this DataFrame i extract a subset with groupby (--> leads to a Dataframe with `freq=None`) When I plot these DataFrames, the xaxis (DateTimeIndex) is fromatted in two different ways. If freq is specified (`freq=1D`) the xaxis-ticks loo...
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12,455
Bug: groupby TimeGrouper and plotting --> TypeError: cannot concatenate a non-NDFrame object
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2016-02-26T13:01:28Z
2019-10-16T04:09:35Z
2019-10-16T04:09:35Z
NONE
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Wan't to group a Dataframe with a DatetimeIndex by a defined frequency. I managed to get the groups by using a TimeGrouper object. But if I plot the `DataFrameGroupBy` object i get the following ``` --------------------------------------------------------------------------- TypeError T...
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Update what's new page with relevant issues for df.query() with in-pl…
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2016-02-26T15:36:40Z
2016-05-07T17:12:30Z
2016-05-07T17:12:30Z
CONTRIBUTOR
null
- [x] closes #10486 - [N/A] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry …ace operator The relevant issues added are : BUG: query with invalid dtypes should fallback to python engine #10486 BUG: query modifies the frame when you compare with `=` #8664
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12,457
Error Creating DataFrame with Single MultiIndexed Column
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2016-02-26T15:57:00Z
2021-04-23T01:10:16Z
2021-04-23T01:10:16Z
NONE
null
Attempting to create a DataFrame with a single column that is multiindexed, I get "IndexError: list index out of range". #### Code Sample, a copy-pastable example if possible ``` df = pd.DataFrame(data=zip(range(100)), columns=[['a','b']]) --------------------------------------------------------------------------- ...
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describe() outputs bool as categorical
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2016-02-26T17:58:41Z
2016-02-27T15:33:54Z
2016-02-27T15:33:36Z
NONE
null
- [ ] closes #6625 - [ ] tests passed so far - [ ] passes `git diff upstream/master | flake8 --diff`
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ENH: replace uses of np.isscalar with pd.lib.isscalar
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2016-02-26T18:06:59Z
2016-02-27T16:30:24Z
2016-02-27T14:41:27Z
CONTRIBUTOR
null
Closes #8708 Added note that pd.lib.isscalar() returns True for None, which is different from np.isscalar().
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12,460
Implement a human readable summary function like R (less structured than describe)
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2016-02-26T18:12:05Z
2021-04-23T01:11:08Z
null
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In R, the summary(data) function provides counts for categorical data of the most frequent values. For datetime and numeric values, it gives their mean, quartiles and range. The describe function in Pandas is similar but does not provide such a human-readable data output for heterogeneous dataframes. As the output is ...
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ENH: Improve error message for empty data constructor. #8020
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3
2016-02-26T18:21:08Z
2016-02-27T14:46:40Z
2016-02-27T14:46:28Z
CONTRIBUTOR
null
- [X] closes #8020 - [X] tests added / passed - [X] passes `git diff upstream/master | flake8 --diff` - [X] whatsnew entry
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136,774,727
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12,462
BUG: fix df concat containing mix of localized and non-localized Timestamps
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11
2016-02-26T18:23:29Z
2016-04-06T13:00:19Z
2016-04-06T13:00:10Z
CONTRIBUTOR
null
BUG: fix issue with concat of localized timestamps TST: test concat of dataframes with non-None timezone columns
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12,463
ENH: add missing methods to .dt for Period, resolves #8848
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4
2016-02-26T18:42:14Z
2016-02-27T18:05:01Z
2016-02-27T16:02:50Z
CONTRIBUTOR
null
- [x] closes #8848 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Not 100% complete, but putting this in as a place to house comments: - I am not sure where to put the whatsnew entry - 0.18.0 or 0.18.1? - Also not sure if you'd like tests on the actual usage in...
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MDU6SXNzdWUxMzY3ODAwNTk=
12,464
Missing data and np.seterr(all='raise'): Viewing the missing yields FloatingPointError
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4
2016-02-26T18:48:30Z
2016-02-27T15:17:19Z
2016-02-27T02:28:26Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` import numpy as np import pandas as pd np.seterr(all='raise') s = pd.Series([np.nan,np.nan,np.nan],index=[1,2,3]); print(s); print(s.head()) ``` #### Expected Output Certainly not a FloatingPointError: `FloatingPointError: invalid value encountered in greater...
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136,780,827
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12,465
Confirm timedelta algos work
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1
2016-02-26T18:51:34Z
2016-02-27T15:23:16Z
2016-02-27T15:22:59Z
NONE
null
- closes #5986 - 3 tests added / passed: rank, factorize, mode - confirm the other 3 tests already exist: unique, quantile, value_counts
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12,466
DataFrame.plot.scatter() raises a TypeError when plotting bubble plots
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1
2016-02-26T19:20:09Z
2016-02-26T19:48:17Z
2016-02-26T19:48:03Z
NONE
null
#### Issue The following code will raise a TypeError exception: ``` python from pandas import DataFrame import numpy as np df = DataFrame(np.random.randn(5,2), columns=['x', 'y']) df['s'] = np.random.random_integers(low=100, high=200, size=5) df.plot.scatter(x='x', y='y', s='s') ``` However, there's no problem in u...
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MDU6SXNzdWUxMzY3OTE5MTk=
12,467
Concat of tz-aware and tz-unaware dataframes fails
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2
2016-02-26T19:33:34Z
2016-04-06T13:00:10Z
2016-04-06T13:00:10Z
CONTRIBUTOR
null
This snippet ``` python import pandas as pd df1 = pd.DataFrame(dict(time=[pd.Timestamp('2015-01-01', tz=None)])) df2 = pd.DataFrame(dict(time=[pd.Timestamp('2015-01-01', tz='UTC')])) pd.concat([df1, df2]) ``` causes > .../pandas/tseries/common.py in _concat_compat(to_concat, axis) > 282 if 'datetime' in ...
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12,468
MAINT: Nicely inform users if they're missing hard dependencies.
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1
2016-02-26T19:58:05Z
2016-02-27T14:28:15Z
2016-02-27T14:28:05Z
CONTRIBUTOR
null
Closes #12176 - [✓] tests pass Manually tested with condas environments w/ all and no dependencies. - [✓] passes `git diff upstream/master | flake8 --diff` - [✗] whatsnew entry
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CLN: consolidate Series.quantile and DataFrame.quantile
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2
2016-02-26T20:02:49Z
2016-04-03T17:03:18Z
2016-04-03T17:03:18Z
NONE
null
- closes #10207 - Slightly modified test in tests/series/tests_analytics.py:575 to standardize behavior across Series and DataFrame - passes `git diff upstream/master | flake8 --diff`
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12,470
[Feature Request] Pass array of timezones to pandas.Series.tz_convert
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2016-02-26T20:43:29Z
2016-02-27T14:20:46Z
2016-02-27T02:51:06Z
NONE
null
This feature request spurs from this StackOverflow question: http://stackoverflow.com/questions/35659927/how-can-i-get-the-timezone-adjusted-hour-for-each-row-in-a-pandas-dataframe-when The relevant portions are copied here. Given a DataFrame like: ``` # publication_timestamp timezone # uuid #0 2015-07...
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12,471
CLN/BUILD: Fix warnings on build
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2016-02-26T20:43:54Z
2016-02-27T14:56:53Z
2016-02-27T14:55:55Z
CONTRIBUTOR
null
- [x] progress towards closing #5385 - [x] whatsnew entry
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12,472
DOC: expanding comparison with R section
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2016-02-26T20:54:16Z
2016-04-27T14:02:18Z
2016-04-27T14:01:13Z
CONTRIBUTOR
null
- [ ] closes #9815 - [ ] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry This is the beginning of a quick reference section. It's incomplete, just did a rough translation of http://nbviewer.jupyter.org/urls/gist.githubusercontent.com/TomAugspurger/6e052140eaa5fdb6e8c0...
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12,473
Pandas datetime64 series no longer has map function when localized
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2016-02-26T21:04:14Z
2020-07-15T19:58:08Z
2016-04-18T17:17:44Z
NONE
null
Create test DF. ``` df = pd.DataFrame({"uuid": [0,1,2,3,4], "publication_timestamp": ["2015-07-28 00:10:05.852", "2015-10-03 00:17:43.000", "2015-08-20 01:15:52.693", "2015-09-09 00:02:03.083", "2015-12-08 00:02:41.390"], "timezone": ["US/Central", "US/Eastern", "US/Eastern", "US/Pacific", "US/Mountain"]}).set_index('...
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12,474
ERR: Better error reporting with .transform and an invalid output per GH 10165
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2016-02-26T22:59:24Z
2016-02-27T16:10:12Z
2016-02-27T16:10:01Z
CONTRIBUTOR
null
- [ ] closes #10165 - [ ] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry
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12,475
Pandas for Finance FileNotFoundError: [Errno 2] No such file or directory: 'quotes/AMZN.csv'
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2016-02-27T10:55:27Z
2016-02-27T01:23:17Z
NONE
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#### Code Sample, a copy-pastable example if possible python 3.5 pandas 0.17 for g, grp in p.groupby(level='stock'): grp.to_csv('quotes/{0}.csv'.format(g)) #### Expected Output save all the quotes in csv #### output of `pd.show_versions()` Traceback (most recent call last): File "<ipython-input-21-7884f2db1...
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Add a free-form summary function to describe a dataframe (in the vein of R)
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2
2016-02-27T00:40:15Z
2016-05-07T19:07:36Z
2016-05-07T19:07:35Z
NONE
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First cut. Please let me know your thoughts and thanks again to @jreback for teaching me. Looks like this ``` A_cat B_str C_bool D_num \ 0 count=24 count=24 count=24 count=24 1 cardinality=2 cardinality=4 ...
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12,477
BUG: indexing operation changes dtype, #10503
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NONE
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- [ ] closes #10503 - [ ] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry
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Pandas for Finance AttributeError: 'DataFrame' object has no attribute 'rolling'
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2016-02-27T02:13:19Z
2016-02-27T10:55:40Z
2016-02-27T02:15:42Z
NONE
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#### Code Sample, a copy-pastable example if possible rets.rolling(window=22).min().plot.line(figsize=(15,10)) #### Expected Output #### output of `pd.show_versions()` Traceback (most recent call last): File "<ipython-input-78-e1069c24fa37>", line 1, in <module> rets.rolling(window=22).min().plot.line(figsize=...
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TST: Add name vaidation for dt accessor
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2016-02-27T06:09:33Z
2016-02-27T18:17:52Z
2016-02-27T15:09:04Z
MEMBER
null
Closes #10712. This is already fixed in other PR, thus added explicit tests.
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Precision support for Timestamp
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2016-02-27T12:34:04Z
2017-08-07T10:50:24Z
2017-08-06T21:15:06Z
NONE
null
Timestamp stores the value in a `datetime64[ns]` internal representation. For most purposes this is fine, but I'd love if I could choose the internal precision, for example to use `datetime64[s]` instead. When I do timeseries manipulations that span more than a day, I generally do not need sub-second resolution and I ...
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12,481
BUG: support fused types in roll_min/max #12373
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8
2016-02-27T15:27:12Z
2016-04-18T18:04:39Z
2016-04-18T17:52:32Z
CONTRIBUTOR
null
- Closes #12373 - Added test_rolling_min_max_types to test_window.py - passes `git diff upstream/master | flake8 --diff` Ran the performance tests with no changes detected: $ asv continuous -b 'stat_op.*rolling' upstream/master GH12373 · Creating environments · Discovering benchmarks ·· Uninstalling from py2.7-Cython...
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12,482
API/COMPAT: add pydatetime-style positional args to Timestamp constructor
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2016-02-27T15:47:56Z
2016-05-20T16:14:51Z
2016-05-20T14:16:17Z
CONTRIBUTOR
null
- [X] closes #10758 - [X] tests added / passed - [X] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry If more tests are desired, please let me know where to put them. Same for the whatsnew entry. This is my first pull request for Pandas. cc @jreback
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12,483
ENH: optional ':' separator in ISO8601 strings
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2016-02-27T15:53:02Z
2016-03-06T20:45:41Z
2016-03-06T20:44:23Z
CONTRIBUTOR
null
- [X] closes #10041 - [X] tests added / passed - [X] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Includes some refactoring in the ISO8601 parser. If more tests are desired, please let me know where to put them. Same for the whatsnew entry. This is effectively my first pull request for Pandas...
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12,484
read_csv dtype 'object' doesn't work for index column
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1
2016-02-27T16:26:01Z
2016-04-26T17:22:57Z
2016-04-26T17:22:44Z
NONE
null
I'm working on a little pandas lesson. The CSV has a column with leading '0' which should be treated as text. When I try to read the CSV and indicate that that column is the `index`, the `dtype` argument doesn't work. I can use `S7` as the `dtype` instead of `object` but @wesm [suggests using 'object'](http://stackover...
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12,485
Spark Translation Layer
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4
2016-02-27T20:00:35Z
2016-03-11T15:43:44Z
2016-03-11T15:43:44Z
CONTRIBUTOR
null
Hey folks, I'm starting to use the pyspark.ml library and it'd be cool to create a translation layer from pandas to spark to make it easy for local code to easily translate into spark. I have two ideas and would would be great to hear feedback. If positive I'd be happy to create a PR. 1) Direct translation ``` spa...
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12,486
API: groupby.resample *maybe* can return a deferred operation
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2016-02-27T20:24:10Z
2016-04-26T15:03:02Z
2016-04-26T15:03:02Z
CONTRIBUTOR
null
xref #12448 / #12449 and on [SO](http://stackoverflow.com/questions/36293620/pandas-0-18-changes-to-resample-how-to-upsample-with-groupby/36294398#36294398) ``` In [1]: df = DataFrame({'date': pd.date_range(start='2016-01-01', ...: periods=4, ...: ...
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CLN: cleanup strings._wrap_result
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2016-02-28T08:26:08Z
2016-03-04T22:23:40Z
2016-03-02T12:43:50Z
MEMBER
null
- Merged `strings._wrap_result` and `strings._wrap_result_expand` for cleanup.
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1
2016-02-28T15:56:09Z
2016-02-28T23:11:36Z
2016-02-28T23:11:31Z
CONTRIBUTOR
null
fix typo in comment
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blacklist numexpr 2.4.4
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CONTRIBUTOR
null
Under some circumstances, numexpr 2.4.4 can lead to flaky output (see #12023 and links therein). This happened again once on SO in the last few days, and it's a suspect in another case. [UPDATE: the suspect was convicted of the second crime as well!] We should just refuse to work with 2.4.4, rather than leave the im...
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TST: Eliminating references to pandas.util.testing.choice
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2016-02-28T23:07:54Z
2016-03-01T22:27:12Z
2016-03-01T22:27:12Z
CONTRIBUTOR
null
- [x] closes #12386 - [x] tests passed - [x] passes `git diff upstream/master | flake8 --diff` Want to remove pandas.util.testing.choice. First eliminating all references to it. Doing this in more than one commit as there are a lot of them. #12386
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DOC: fixed references to DataFrameGroupBy methods in comparison_with_…
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2016-03-01T02:56:33Z
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CONTRIBUTOR
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…sql.rst
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12,492
ENH: Allow exponentially weighted functions to specify alpha directly
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2016-02-29T03:01:48Z
2016-03-07T00:48:31Z
2016-03-06T14:57:59Z
CONTRIBUTOR
null
- Closes #10789 - Passes Travis CI, nosetests, and flake8 - Covered by new tests in test_window.py:TestMoments - Documented in computation.rst and v0.18.0.txt
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12,493
usecols is not respected when the file is empty
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2016-02-29T09:13:19Z
2016-04-13T01:30:28Z
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NONE
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xref #9755 If the file is empty, it is logical to compensate with extra columns. #### Code Sample, a copy-pastable example if possible ``` python """Example of Pandas bug.""" from pandas import read_csv try: from StringIO import StringIO except ImportError: from io import StringIO name_list = ['Dummy', 'X',...
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12,494
BUG: read_csv with empty header row raising
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#### Code Sample, a copy-pastable example if possible ``` python """Example of Pandas bug.""" from pandas import read_csv try: from StringIO import StringIO except ImportError: from io import StringIO s = StringIO(',,') df = read_csv(s) print(list(df)) s = StringIO(',,,') df = read_csv(s) print(list(df)...
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12,495
transform() drops groupby columns if not in index or if not numeric
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5
2016-02-29T19:49:32Z
2018-08-12T19:21:43Z
2016-03-03T02:08:25Z
NONE
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unlike when I use .aggregate('mean'), I lose the groupedby columns and any nonnumeric columns when using transform ``` python >>> d = {'a':['a', 'a', 'c', 'c'], 'b':['z','z','z','y'], 'dat':[4.2, 2.4, 3.5, 5.3], 'dat2':[1.3,2.6,3.4,4.1]} >>> df = pd.DataFrame(d) >>> zscore = lambda x: (x - x.mean()) / x.std() >>> df.g...
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12,496
Extract doc fix
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2016-02-29T19:50:12Z
2016-03-01T12:44:51Z
2016-03-01T12:44:42Z
CONTRIBUTOR
null
A fix for a small problem with the docs for extract. Also the first code block on http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extract should show a warning but it does not. any ideas how to fix that?
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12,497
Merge resets column types - category is reset
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2016-02-29T20:37:35Z
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2016-03-01T12:14:11Z
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#### Code Sample, a copy-pastable example if possible ``` import numpy as np import pandas as pd # Generate some random dataframes with a common "id" column to merge on # Transform some columns into type "category" some_strings = ['aa', 'bb', 'cc', 'dd'] d1 = {'id': np.arange(100), 'var1': np.random.randint(0,10...
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BUG: Allow assignment by indexing with duplicate column names
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2016-03-01T02:11:13Z
2016-03-06T15:43:07Z
2016-03-06T15:28:43Z
MEMBER
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closes #12344 in which assignment to columns in `DataFrame` with duplicate column names caused all columns with the same name to be reassigned. The bug was located <a href="https://github.com/pydata/pandas/blob/master/pandas/core/indexing.py#L545">here</a>. When you try to index into the DataFrame using `.iloc`, `p...
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137,459,758
MDU6SXNzdWUxMzc0NTk3NTg=
12,499
loc row assignment with NaN and NaT coerces to either NaN or NaT
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3
2016-03-01T03:46:44Z
2021-04-23T01:12:35Z
null
NONE
null
``` import datetime import pandas as pd import pytz data = [{'one': 0, 'two': datetime.datetime(2016, 3, 1, 3, 13, 22, 98986, tzinfo=pytz.timezone('UTC'))}] df = pd.DataFrame(data) df.loc[1] = [np.nan, np.datetime64('NaT')] ``` traceback ``` --------------------------------------------------------------------------- ...
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https://api.github.com/repos/pandas-dev/pandas/issues/12500
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137,461,456
MDU6SXNzdWUxMzc0NjE0NTY=
12,500
Serialize numpy scalars in pd.msgpack
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8
2016-03-01T03:59:39Z
2019-12-11T13:30:14Z
2019-12-11T13:30:13Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` python import numpy as np import pandas as pd pd.msgpack.dumps(np.int32(0)) ``` Currently procduces: ``` python TypeError: can't serialize 0 ``` #### Expected Output ``` b'\x00' ``` #### output of `pd.show_versions()` ``` python In [5]: pd.show_versions() ...
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https://api.github.com/repos/pandas-dev/pandas/issues/12501
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137,533,579
MDU6SXNzdWUxMzc1MzM1Nzk=
12,501
pd.to_datetime/pd.DatetimeIndex unexpected behavior
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6
2016-03-01T10:29:29Z
2016-03-10T10:34:53Z
2016-03-01T12:29:48Z
NONE
null
I don't know if this is a bug or not (I guess not), but I think this behavior might be very confusing to many users who like me until now might not be aware of this. When converting a string column to Date using pd.to_datetime or pd.DatetimeIndex the way the date is interpreted might change from row to row. I experie...
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137,559,417
MDU6SXNzdWUxMzc1NTk0MTc=
12,502
Setting values in DataFrame with timezone-aware index fails using .loc
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1
2016-03-01T12:22:49Z
2016-03-01T12:31:43Z
2016-03-01T12:31:27Z
CONTRIBUTOR
null
In Pandas 0.17.1, setting values in a DataFrame with .loc does not seem the work well in case of timezone-aware indices in combination with a list of columns: ``` In [1]: import pandas as pd ...: start = pd.Timestamp('2015-7-12', tz='utc') ...: end = pd.Timestamp('2015-7-12 12:00', tz='utc') ...: timestamps =...
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137,575,217
MDU6SXNzdWUxMzc1NzUyMTc=
12,503
CLN & REORG core/common.py
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3
2016-03-01T13:31:42Z
2016-08-11T15:54:05Z
2016-07-13T11:52:44Z
CONTRIBUTOR
null
some ideas on reorging. - [X] rename `pandas/util/misc.py` to `pandas/util/tools.py` or `pandas/util/util.py` (https://github.com/pydata/pandas/commit/a69d628db77cc67f79590bbb3f13e178cb8b0e93) - [X] move `core/generic.py/_validate_kwargs` (and new `validate_args`) here (https://github.com/pydata/pandas/commit/6e64787...
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