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"color": "AD... | closed | false | null | [] | null | 12 | 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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```
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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"followers_url": "https://api.github.com/users/jr... | 0 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12408/events | https://github.com/pandas-dev/pandas/issues/12408 | 135,234,059 | MDU6SXNzdWUxMzUyMzQwNTk= | 12,408 | index_col result is unexpected when usecols is used to skip a column | {
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``` 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
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```
>>> 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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- [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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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 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12412/events | https://github.com/pandas-dev/pandas/issues/12412 | 135,297,217 | MDU6SXNzdWUxMzUyOTcyMTc= | 12,412 | Add type stub files to python's typeshed | {
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... | closed | false | null | [] | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12413/events | https://github.com/pandas-dev/pandas/pull/12413 | 135,333,837 | MDExOlB1bGxSZXF1ZXN0NjAxMzE5MTk= | 12,413 | BUG: Matched SearchedSorted Signature with NumPy's | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12414/events | https://github.com/pandas-dev/pandas/pull/12414 | 135,337,727 | MDExOlB1bGxSZXF1ZXN0NjAxMzM2NjA= | 12,414 | MAINT: More informative TypeError for IndexEngine.get_loc | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12415/events | https://github.com/pandas-dev/pandas/issues/12415 | 135,349,222 | MDU6SXNzdWUxMzUzNDkyMjI= | 12,415 | DataFrame.apply behaves inconsistently when a list returned by the function | {
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```
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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https://api.github.com/repos/pandas-dev/pandas/issues/12416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12416/events | https://github.com/pandas-dev/pandas/issues/12416 | 135,385,662 | MDU6SXNzdWUxMzUzODU2NjI= | 12,416 | Wrong behaviour/error when indexing MultiIndex with list | {
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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 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12417/events | https://github.com/pandas-dev/pandas/pull/12417 | 135,387,136 | MDExOlB1bGxSZXF1ZXN0NjAxNTczNzQ= | 12,417 | ENH decimal parameter to to_latex and to_html, #12031 | {
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"followers_url": "https://api.github.com/users/jr... | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12418/events | https://github.com/pandas-dev/pandas/pull/12418 | 135,421,886 | MDExOlB1bGxSZXF1ZXN0NjAxNzQ5NzA= | 12,418 | COMPAT: fixes for numpy compat | {
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compat in sparse for floordiv with 0, now returns NaN rather than inf
closes #12406
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"descript... | closed | false | null | [] | null | 3 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12421/events | https://github.com/pandas-dev/pandas/pull/12421 | 135,505,877 | MDExOlB1bGxSZXF1ZXN0NjAyMjA3Mzg= | 12,421 | Notes about unique vs cat.categories #12278 | {
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- [ ] 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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https://api.github.com/repos/pandas-dev/pandas/issues/12422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12422/events | https://github.com/pandas-dev/pandas/issues/12422 | 135,611,454 | MDU6SXNzdWUxMzU2MTE0NTQ= | 12,422 | ix bug? | {
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```
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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https://api.github.com/repos/pandas-dev/pandas/issues/12423 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12423/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12423/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12423/events | https://github.com/pandas-dev/pandas/issues/12423 | 135,627,865 | MDU6SXNzdWUxMzU2Mjc4NjU= | 12,423 | Abbreviate MultiIndex representation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12424/events | https://github.com/pandas-dev/pandas/issues/12424 | 135,704,250 | MDU6SXNzdWUxMzU3MDQyNTA= | 12,424 | pd.to_datetime raises AttributeError with specific inputs when errors='ignore' | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12425/events | https://github.com/pandas-dev/pandas/issues/12425 | 135,720,432 | MDU6SXNzdWUxMzU3MjA0MzI= | 12,425 | Stripped timedelta[s] series represented as timedelta[ns] | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/12426 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12426/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12426/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12426/events | https://github.com/pandas-dev/pandas/issues/12426 | 135,755,302 | MDU6SXNzdWUxMzU3NTUzMDI= | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12427/events | https://github.com/pandas-dev/pandas/issues/12427 | 135,759,435 | MDU6SXNzdWUxMzU3NTk0MzU= | 12,427 | HDFStore doesn't record correct pandas version in store attributes | {
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"descript... | closed | false | null | [] | null | 3 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12428 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12428/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12428/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12428/events | https://github.com/pandas-dev/pandas/pull/12428 | 135,790,554 | MDExOlB1bGxSZXF1ZXN0NjAzNjkxMTM= | 12,428 | DOC: improve documentation for building extensions on windows | {
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] | closed | false | null | [] | null | 7 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12430 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12430/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12430/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12430/events | https://github.com/pandas-dev/pandas/issues/12430 | 135,815,651 | MDU6SXNzdWUxMzU4MTU2NTE= | 12,430 | Cython-optimized expanding apply transformations | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12431 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12431/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12431/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12431/events | https://github.com/pandas-dev/pandas/pull/12431 | 135,871,912 | MDExOlB1bGxSZXF1ZXN0NjA0MTMxMDA= | 12,431 | DOC:Fix micro-typo | {
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"followers_url": "https://api.github.com/users/jr... | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12432/events | https://github.com/pandas-dev/pandas/issues/12432 | 135,892,865 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12433/events | https://github.com/pandas-dev/pandas/issues/12433 | 135,919,099 | MDU6SXNzdWUxMzU5MTkwOTk= | 12,433 | Panel resample fails for degenerate panels | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12434/events | https://github.com/pandas-dev/pandas/issues/12434 | 135,923,275 | MDU6SXNzdWUxMzU5MjMyNzU= | 12,434 | BUG: reshaping of Panel breaking with datetimeindex | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12435/events | https://github.com/pandas-dev/pandas/issues/12435 | 136,016,719 | MDU6SXNzdWUxMzYwMTY3MTk= | 12,435 | read_csv false_values only partially applied | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 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:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/12436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12436/events | https://github.com/pandas-dev/pandas/issues/12436 | 136,063,567 | MDU6SXNzdWUxMzYwNjM1Njc= | 12,436 | WARN: matplotlib warnings | {
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"followers_url": "https://api.github.com/users/jr... | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12437/events | https://github.com/pandas-dev/pandas/issues/12437 | 136,076,334 | MDU6SXNzdWUxMzYwNzYzMzQ= | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12438/events | https://github.com/pandas-dev/pandas/issues/12438 | 136,080,932 | MDU6SXNzdWUxMzYwODA5MzI= | 12,438 | BLD: Travis dedup via webhooks | {
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"f... | 10 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12439/events | https://github.com/pandas-dev/pandas/pull/12439 | 136,102,566 | MDExOlB1bGxSZXF1ZXN0NjA1MzEyOTE= | 12,439 | DOC: fix links in contributing.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12440/events | https://github.com/pandas-dev/pandas/issues/12440 | 136,140,676 | MDU6SXNzdWUxMzYxNDA2NzY= | 12,440 | calling mean on groupby of timedelta does not work | {
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"description": "Timedelta data ... | closed | false | null | [] | null | 1 | 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 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12441/events | https://github.com/pandas-dev/pandas/issues/12441 | 136,174,075 | MDU6SXNzdWUxMzYxNzQwNzU= | 12,441 | ImportError after installing rc18 -- help | {
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... | closed | false | null | [] | null | 3 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12442 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12442/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12442/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12442/events | https://github.com/pandas-dev/pandas/pull/12442 | 136,175,104 | MDExOlB1bGxSZXF1ZXN0NjA1NzEwNDI= | 12,442 | DOC: Add examples and notes to empty documentation | {
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- [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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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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"color": "00... | closed | false | null | [] | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12445 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12445/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12445/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12445/events | https://github.com/pandas-dev/pandas/issues/12445 | 136,424,568 | MDU6SXNzdWUxMzY0MjQ1Njg= | 12,445 | to_html local float_format decimal representation | {
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"color": "0052c... | closed | false | null | [] | null | 3 | 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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"descript... | closed | false | null | [] | null | 2 | 2016-02-25T17:56:05Z | 2016-02-25T19:09:42Z | 2016-02-25T19:09:33Z | NONE | null | 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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"descript... | closed | false | null | [] | null | 1 | 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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"followers_url": "https://api.github.com/users/jr... | 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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make sure that .groupby(...).resample(....) is hitting warnings when appropriate
closes #12448
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https://api.github.com/repos/pandas-dev/pandas/issues/12450 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12450/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12450/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12450/events | https://github.com/pandas-dev/pandas/issues/12450 | 136,615,263 | MDU6SXNzdWUxMzY2MTUyNjM= | 12,450 | Feature request: groupby.plot() generate subplots not working | {
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... | open | false | null | [] | null | 3 | 2016-02-26T07:03:04Z | 2021-04-23T01:03:17Z | null | NONE | 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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"id": ... | closed | false | null | [] | null | 2 | 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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... | open | false | null | [] | null | 3 | 2016-02-26T08:56:10Z | 2021-04-23T01:03:45Z | null | NONE | null | 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
.
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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https://api.github.com/repos/pandas-dev/pandas/issues/12455 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12455/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12455/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12455/events | https://github.com/pandas-dev/pandas/issues/12455 | 136,691,537 | MDU6SXNzdWUxMzY2OTE1Mzc= | 12,455 | Bug: groupby TimeGrouper and plotting --> TypeError: cannot concatenate a non-NDFrame object | {
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... | 4 | 2016-02-26T13:01:28Z | 2019-10-16T04:09:35Z | 2019-10-16T04:09:35Z | NONE | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12456 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12456/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12456/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12456/events | https://github.com/pandas-dev/pandas/pull/12456 | 136,729,041 | MDExOlB1bGxSZXF1ZXN0NjA4NTg5MTk= | 12,456 | Update what's new page with relevant issues for df.query() with in-pl… | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 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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... | 22 | 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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- [ ] tests passed so far
- [ ] passes `git diff upstream/master | flake8 --diff`
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Added note that pd.lib.isscalar() returns True for None, which is different from np.isscalar().
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] | open | false | null | [] | null | 0 | 2016-02-26T18:12:05Z | 2021-04-23T01:11:08Z | null | NONE | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12461/events | https://github.com/pandas-dev/pandas/pull/12461 | 136,773,922 | MDExOlB1bGxSZXF1ZXN0NjA4ODIxMzg= | 12,461 | ENH: Improve error message for empty data constructor. #8020 | {
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"followers_url": "https://api.github.com/users/jr... | 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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TST: test concat of dataframes with non-None timezone columns
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- [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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"color": "0052cc"... | closed | false | null | [] | null | 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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- 3 tests added / passed: rank, factorize, mode
- confirm the other 3 tests already exist: unique, quantile, value_counts
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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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``` 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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"followers_url": "https://api.github.com/users/jr... | 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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- 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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https://api.github.com/repos/pandas-dev/pandas/issues/12470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12470/events | https://github.com/pandas-dev/pandas/issues/12470 | 136,809,824 | MDU6SXNzdWUxMzY4MDk4MjQ= | 12,470 | [Feature Request] Pass array of timezones to pandas.Series.tz_convert | {
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"descript... | closed | false | null | [] | null | 4 | 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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- [x] whatsnew entry
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"followers_url": "https://api.github.com/users/jr... | 5 | 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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"followers_url": "https://api.github.com/users/jr... | 2 | 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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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/12475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12475/events | https://github.com/pandas-dev/pandas/issues/12475 | 136,853,565 | MDU6SXNzdWUxMzY4NTM1NjU= | 12,475 | Pandas for Finance FileNotFoundError: [Errno 2] No such file or directory: 'quotes/AMZN.csv' | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/12476 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12476/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12476/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12476/events | https://github.com/pandas-dev/pandas/pull/12476 | 136,853,993 | MDExOlB1bGxSZXF1ZXN0NjA5MjY0MDI= | 12,476 | Add a free-form summary function to describe a dataframe (in the vein of R) | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/12477 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12477/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12477/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12477/events | https://github.com/pandas-dev/pandas/pull/12477 | 136,856,862 | MDExOlB1bGxSZXF1ZXN0NjA5Mjc3NTU= | 12,477 | BUG: indexing operation changes dtype, #10503 | {
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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>
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https://api.github.com/repos/pandas-dev/pandas/issues/12480 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12480/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12480/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12480/events | https://github.com/pandas-dev/pandas/issues/12480 | 136,913,581 | MDU6SXNzdWUxMzY5MTM1ODE= | 12,480 | Precision support for Timestamp | {
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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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- 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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- [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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- [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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1) Direct translation
```
spa... | {
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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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"followers_url": "https://api.github.com/users/jr... | 2 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12489/events | https://github.com/pandas-dev/pandas/issues/12489 | 137,076,154 | MDU6SXNzdWUxMzcwNzYxNTQ= | 12,489 | blacklist numexpr 2.4.4 | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-02-28T17:40:29Z | 2016-06-28T15:58:03Z | 2016-03-03T12:11:02Z | 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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- [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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- 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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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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``` 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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``` 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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https://api.github.com/repos/pandas-dev/pandas/issues/12496 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12496/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12496/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12496/events | https://github.com/pandas-dev/pandas/pull/12496 | 137,352,881 | MDExOlB1bGxSZXF1ZXN0NjExMzM2OTg= | 12,496 | Extract doc fix | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12497/events | https://github.com/pandas-dev/pandas/issues/12497 | 137,366,154 | MDU6SXNzdWUxMzczNjYxNTQ= | 12,497 | Merge resets column types - category is reset | {
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```
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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https://api.github.com/repos/pandas-dev/pandas/issues/12498 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12498/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12498/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12498/events | https://github.com/pandas-dev/pandas/pull/12498 | 137,443,683 | MDExOlB1bGxSZXF1ZXN0NjExODEyNDI= | 12,498 | BUG: Allow assignment by indexing with duplicate column names | {
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"followers_url": "https://api.github.com/users/jr... | 15 | 2016-03-01T02:11:13Z | 2016-03-06T15:43:07Z | 2016-03-06T15:28:43Z | MEMBER | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12499/events | https://github.com/pandas-dev/pandas/issues/12499 | 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 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12500/events | https://github.com/pandas-dev/pandas/issues/12500 | 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 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12501/events | https://github.com/pandas-dev/pandas/issues/12501 | 137,533,579 | MDU6SXNzdWUxMzc1MzM1Nzk= | 12,501 | pd.to_datetime/pd.DatetimeIndex unexpected behavior | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/12502 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12502/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12502/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12502/events | https://github.com/pandas-dev/pandas/issues/12502 | 137,559,417 | MDU6SXNzdWUxMzc1NTk0MTc= | 12,502 | Setting values in DataFrame with timezone-aware index fails using .loc | {
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"color": "53... | closed | false | null | [] | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/12503 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12503/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12503/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12503/events | https://github.com/pandas-dev/pandas/issues/12503 | 137,575,217 | MDU6SXNzdWUxMzc1NzUyMTc= | 12,503 | CLN & REORG core/common.py | {
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"followers_url": "https://api.github.com/users/jr... | 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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