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https://api.github.com/repos/pandas-dev/pandas/issues/13704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13704/events | https://github.com/pandas-dev/pandas/issues/13704 | 166,301,413 | MDU6SXNzdWUxNjYzMDE0MTM= | 13,704 | CLN: cleanup bench / scripts | {
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- [x] I think we could fully remove the `bench` sub-dir, taking care if we don't have asv's for anything there (I think we do but need to check). (PR https://github.com/pandas-dev/pandas/pull/16984)
- [x] `scripts` dir, we can blow windows_bu... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
```
# asv
- 33.75ms 3.22ms 0.10 period.period_algorithm.time_period_series_drop_duplicates
```
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Updated cookbook attaching SO link of original issue.
BTW, `pivot_annual` has a similar functionality but it looks to be replaced by `pivot_table` and datetime property access. Because the functio... | {
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> Download zipped PWT data and calculate 5yr averages
link is bronken in the cookbook section of the wiki
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I believe `.equals()` is incorrectly returning `False` on dataframes that are identical except for ordering of indexes. Think this may relate to closed issues #9330 and #9745.
#### Example
``` python
In [1]: import pandas as pd
In [2]: df1 = pd.DataFrame({'a':[1,2,3]}, index=['x','y','z'])
In [3]: df2 = pd.Data... | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-07-19T14:27:58Z | 2016-08-01T20:56:54Z | 2016-08-01T20:56:54Z | CONTRIBUTOR | null | This is a continuation of #13695.
Starting with the original DataFrames from that issue:
```
df1 = pd.DataFrame({'time':pd.to_datetime(['2016-07-15 13:30:00.030']), 'username':['bob']})
df2 = pd.DataFrame({'time':pd.to_datetime(['2016-07-15 13:30:00.000', '2016-07-15 13:30:00.030']), 'version':[1, 2]})
```
I now get... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-19T17:14:07Z | 2016-07-21T10:59:37Z | 2016-07-21T10:59:35Z | CONTRIBUTOR | null | - [x] closes #12259
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Automatically select type %tc for datetime[ns] columns
Change ValueErrors to NotImplementedError for unsupported types
Add tests for select exceptions
closes #12259
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I noticed that `pd.read_table` raises EmptyDataError, but only when using a filename rather than StringIO and when `engine="c"`.
Possibly related to #13652?
#### Code Sample, a copy-pastable example if possible
``` python
import pandas as pd
from io import StringIO
s = 'a\tb\tc\n1\t2\t3\n'
with open('a.tsv', '... | {
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... | 3 | 2016-07-19T21:17:16Z | 2020-03-31T05:54:07Z | 2020-03-31T05:54:06Z | MEMBER | null | xref #17603 - can be simplified when this issue is fixed
To be compat with `DatetimeIndex` kwds. The impl should be pretty straightforward.
- http://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html
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https://api.github.com/repos/pandas-dev/pandas/issues/13713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13713/events | https://github.com/pandas-dev/pandas/issues/13713 | 166,478,198 | MDU6SXNzdWUxNjY0NzgxOTg= | 13,713 | pandas/matplotlib datetime conflict | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-07-20T02:02:26Z | 2016-07-20T17:29:44Z | 2016-07-20T13:50:59Z | NONE | null | # Description
Importing pandas makes plotting with matplotlib and standard datetime objects impossible.
A type error is raised in matplotlib because pandas import datetime and "override the global" one.
I would not expect pandas to override the default datetime. After importing pandas one cannot use datetimes for p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13714/events | https://github.com/pandas-dev/pandas/issues/13714 | 166,484,541 | MDU6SXNzdWUxNjY0ODQ1NDE= | 13,714 | TST/BUG in test_categorical.py: test_constructor_unsortable breaks after recent commit | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-07-20T03:04:59Z | 2016-07-21T10:44:50Z | 2016-07-21T10:44:50Z | CONTRIBUTOR | null | This is a follow up to #13514 (safe sort of mixed-int arrays).
After merging this commit, [`test_constructor_unsortable`](https://github.com/pydata/pandas/blob/b225cacb1d2a34e3c4041533a0590133098756fa/pandas/tests/test_categorical.py#L94) in test_categorical.py breaks.
According to the [code there](https://github.com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13715/events | https://github.com/pandas-dev/pandas/issues/13715 | 166,550,101 | MDU6SXNzdWUxNjY1NTAxMDE= | 13,715 | CI: setup 32-build linux build on travis | {
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hosts the builder for the wheels, it does a 32-build on linux via a docker image. So we could just directly pull that same image and build (of master).
cc @matthew-brett
xref #13584
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
not sure what the `setup.py` 's best practice be...
CC: @gfyoung
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``` python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randn(3, 3), index='A B C'.split())
pd.DataFrame(np.empty_like(df.index))
```
## INSTALLED VERSIONS
commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Linux
OS-release: 3.13.0-91-generic
machine: x86_64
processor: x... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13718 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13718/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13718/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13718/events | https://github.com/pandas-dev/pandas/issues/13718 | 166,603,524 | MDU6SXNzdWUxNjY2MDM1MjQ= | 13,718 | Cannot set a datetime64 column to datetime.max | {
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``` python
import datetime
import pandas as pd
df = pd.DataFrame()
df['string_date'] = ['2015-01-01', '']
df['timestamp'] = df.string_date.values.astype("datetime64[M]")
df.loc[df.timestamp.isnull(), 'timestamp'] = datetime.datetime.max
```
Error
```
OutOfBounds... | {
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```
import sys
if sys.version[0] == '2':
from StringIO import StringIO
if sys.version[0] == '3':
from io im... | {
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```
x = [u'2016-07-19T00:00:00.000Z',
u'2016-07-19T01:00:00.000Z',
u'2016-07-19T02:00:00.000Z',
u'2016-07-19T03:00:00.000Z',
u'2016-07-19T04:00:00.000Z',
u'2016-07-19T05:00:00.000Z',
u'2016-07-19T06:00:00.000Z',
u'20... | {
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- [x] closed by #13736
```
======================================================================
ERROR: test_nanosecond_field (pandas.tseries.tests.test_timeseries.TestDatetime64)
----------------------------------------------------------------------
Traceback (most recent call las... | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/13723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13723/events | https://github.com/pandas-dev/pandas/pull/13723 | 166,631,597 | MDExOlB1bGxSZXF1ZXN0NzgxODMwMTg= | 13,723 | BUG: Fix pd.Timedelta(None) to return NaT. | {
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- [x] tests added / passed
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Before this commit pd.Timedelta raised ValueError
when None is passed.
This behavior is inconsistent because
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- pd.Timedelta returns NaT if '', '... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13724/events | https://github.com/pandas-dev/pandas/issues/13724 | 166,644,118 | MDU6SXNzdWUxNjY2NDQxMTg= | 13,724 | DOC: remove datareader docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13725/events | https://github.com/pandas-dev/pandas/issues/13725 | 166,664,670 | MDU6SXNzdWUxNjY2NjQ2NzA= | 13,725 | TypeError: to_datetime() got multiple values for argument 'errors' | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-07-20T19:41:23Z | 2016-07-20T20:20:34Z | 2016-07-20T20:18:04Z | CONTRIBUTOR | null | I find it necessary to specify an explicit date parser when reading certain CSV files because `read_csv(..., error_bad_lines=True)` does not recognize errors that fall within the index column; it falls back to string-indexing instead. I've dealt with this by specifying `coerce=True`, but that method is deprecated since... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13726/events | https://github.com/pandas-dev/pandas/issues/13726 | 166,680,363 | MDU6SXNzdWUxNjY2ODAzNjM= | 13,726 | DOC: give read_clipboard a signature | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-07-20T20:57:53Z | 2016-11-07T20:52:08Z | 2016-11-07T20:52:08Z | CONTRIBUTOR | null | Wouldn't necessarily need to add everything that `read_table` accepts, but at minimum adding a couple common ones like `delim_whitespace` and `sep` would make it nicer for argument completion in interactive use.
https://github.com/pydata/pandas/blob/master/pandas/io/clipboard.py#L6
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https://api.github.com/repos/pandas-dev/pandas/issues/13727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13727/events | https://github.com/pandas-dev/pandas/issues/13727 | 166,688,928 | MDU6SXNzdWUxNjY2ODg5Mjg= | 13,727 | DEPR/ENH: isleapyear | {
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... | 2 | 2016-07-20T21:40:47Z | 2016-07-25T11:40:10Z | 2016-07-25T11:40:10Z | CONTRIBUTOR | null | xref #13706
should deprecate `pandas.util.isleapyear`
and impement as an accessort to `DTI`, `Timestamp` and `.dt`
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https://api.github.com/repos/pandas-dev/pandas/issues/13728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13728/events | https://github.com/pandas-dev/pandas/pull/13728 | 166,694,267 | MDExOlB1bGxSZXF1ZXN0NzgyMjgzNjU= | 13,728 | BUG: Add check for input array lengths in from_arrays method (GH13599) | {
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- [ ] tests added / passed
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/cc @jreback
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/cc @jreback
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"... | closed | false | null | [] | {
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``` python
>>> import pandas as pd
>>> pd.__version__
u'0.18.0'
>>> pd.period_range('2016-07-20', periods=4, freq='2H')
PeriodIndex(['2016-07-20 00:00', '2016-07-20 02:00', '2016-07-20 04:00',
'2016-07-20 06:00'],
dtype='int64', freq='2H')
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https://api.github.com/repos/pandas-dev/pandas/issues/13731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13731/events | https://github.com/pandas-dev/pandas/pull/13731 | 166,708,048 | MDExOlB1bGxSZXF1ZXN0NzgyMzgyMDE= | 13,731 | Groupby getitem works with all index types | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Previously `df.groupby(0)[df.columns]` would fail if all column names
were integers (meaning `df.columns` was an `Int64Index`). This was
because the implementation of `__getitem__` in `SelectionMixin` was
checking f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13732 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13732/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13732/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13732/events | https://github.com/pandas-dev/pandas/pull/13732 | 166,725,388 | MDExOlB1bGxSZXF1ZXN0NzgyNTAxNjM= | 13,732 | TST, COMPAT: Make MMapWrapper tests Windows compatible | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13733/events | https://github.com/pandas-dev/pandas/pull/13733 | 166,735,226 | MDExOlB1bGxSZXF1ZXN0NzgyNTY0NDk= | 13,733 | TST/BUG: test unsortable in safe_sort and Categorical (GH13714) | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-21T04:30:26Z | 2016-07-21T10:44:33Z | 2016-07-21T10:44:04Z | CONTRIBUTOR | null | - [x] closes #13714
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
- Change test for Categorical.from_array (`test_constructor_unsortable`)
- Add test for safe_sort
- Change 2.7 build to latest numpy
---
`safe_sort` always raises on a mixed int-datetime array. ... | {
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I came across an unknown-to-me behaviour in the performance of `groupby` (I was suggested to put the question here after a thread on [stackoverflow](http://stackoverflow.com/questions/38496930/performance-of-groupby-when-dealing-with-category-type-in-pandas).
```
import pandas as pd
import numpy as np
a = np.ran... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13735/events | https://github.com/pandas-dev/pandas/pull/13735 | 166,768,315 | MDExOlB1bGxSZXF1ZXN0NzgyNzkwMDQ= | 13,735 | CNL: remove the io.data and io.wb modules | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] no whatsnew, as it is a regression caused by #13692.
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- Also updated w... | {
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> line_terminator : string, default ‘n’
I thought it was a case of slash stripping, but I checked [the code](https://github.com/pydata/p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13739/events | https://github.com/pandas-dev/pandas/pull/13739 | 166,779,958 | MDExOlB1bGxSZXF1ZXN0NzgyODc0Mzg= | 13,739 | ENH: add is_leap_year property for datetime-like | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
- found there is `tslib.isleapyear` also, but i don't think it is public (deprecated also).
- `pd.NaT.is_leap_year` results in `False`, as I think users want `bool` array.
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https://api.github.com/repos/pandas-dev/pandas/issues/13740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13740/events | https://github.com/pandas-dev/pandas/pull/13740 | 166,781,011 | MDExOlB1bGxSZXF1ZXN0NzgyODgyMTE= | 13,740 | DOC: some general doc/sphinx fixes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13741 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13741/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13741/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13741/events | https://github.com/pandas-dev/pandas/issues/13741 | 166,796,174 | MDU6SXNzdWUxNjY3OTYxNzQ= | 13,741 | MultiIndex - ValueError: On level 2, label max (1) >= length of level (1). NOTE: this index is in an inconsistent state | {
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```
import pandas as pd
df = pd.DataFrame(
[
[5777, 100, 5385, 200, 5419, 4887, 100, 200],
[4849, 0, 4539, 0, 3381, 0, 0, ],
[4971, 0, 3824, 0, 4645, 3424, 0, 0, ],
[4827, 200, 3459, 300, 4552, 3153, 100, 200, ],
[5207, 0, 3670, 0, 4876, 3358, 0, 0, ],
],
index=pd.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13742 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13742/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13742/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13742/events | https://github.com/pandas-dev/pandas/issues/13742 | 166,800,647 | MDU6SXNzdWUxNjY4MDA2NDc= | 13,742 | Can it impossible to fill names parameter of concat() when keys is specified with Index/MultiIndex object? | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-07-21T11:51:26Z | 2016-07-21T12:06:08Z | 2016-07-21T12:01:40Z | NONE | null | Thanks for all developers,
I think it's useful and natural behaviour
when `keys` parameter of concat() function is specified with Index or MultiIndex object, its `name` or `names` attribute is not taken over to the result DataFrame object.
``` python
>>> import pandas as pd
>>> a1 = pd.DataFrame([[110, 111], [120, 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13743/events | https://github.com/pandas-dev/pandas/issues/13743 | 166,879,042 | MDU6SXNzdWUxNjY4NzkwNDI= | 13,743 | groupby on multiple columns does not preserve (categorical) dtype | {
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I did see that the behav... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13744 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13744/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13744/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13744/events | https://github.com/pandas-dev/pandas/issues/13744 | 166,924,529 | MDU6SXNzdWUxNjY5MjQ1Mjk= | 13,744 | DataFrame.quantile and DataFrame.describe Not Handling NaN | {
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``` python
>>> import numpy as np
>>> import pandas as pd
>>> df = DataFrame([1, 2, 3, np.nan], columns = ['x'])
>>> print df.x.quantile(0.5)
```
...outputs NaN, where would expect it to handle NaN values and return 2.0
### Versions
pandas: 0.18.1
numpy: 1.11.0
In [NumPy 1.10.1](http://docs.scipy.org/doc/n... | {
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"default"... | open | false | null | [] | null | 9 | 2016-07-22T00:11:04Z | 2016-12-02T15:39:18Z | null | CONTRIBUTOR | null | I think that the title says it all. The `pd.merge` function can be compute intensive and can benefit (I think) from parallel computing.
It does not appear to currently release the GIL. I can easily push my CPU to 100% but no higher when performing parallel joins.
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https://api.github.com/repos/pandas-dev/pandas/issues/13746 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13746/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13746/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13746/events | https://github.com/pandas-dev/pandas/issues/13746 | 166,949,883 | MDU6SXNzdWUxNjY5NDk4ODM= | 13,746 | DOC: document the perils of reading mixed dtypes / how to handle | {
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See for example http://stackoverflow.com/questions/18471859/pandas-read-csv-dtype-inference-issue
(the behavior didn't since 3 years ago, except a warning is now issued)
```
import pandas as pd
df = pd.DataFrame({'a':['1']*100000 + ['X']*100000 + ['1']*100000, 'b'... | {
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There is a disabled test `test_clipboard.py` which fails with the following error
``` python
======================================================================
FAIL: test_round_trip_frame_sep (pandas.io.tests.test_clipboard.TestClipboard)
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https://api.github.com/repos/pandas-dev/pandas/issues/13748 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13748/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13748/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13748/events | https://github.com/pandas-dev/pandas/issues/13748 | 166,974,124 | MDU6SXNzdWUxNjY5NzQxMjQ= | 13,748 | df[df.columns.unique()] returns duplicate columns when concatanating dataframes which contain identical columns | {
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``` python
import pandas as pd
import numpy as np
dates = pd.date_range('1/1/2000', periods=8)
data1 = {'A': np.arange(8),
'B': np.random.randn(8)
}
df1 = pd.DataFrame(data1, index=dates)
data2 = {'A': np.arange(8),
'C': np.random.randn(8)
}
df2 = pd.DataFrame(data... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13749 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13749/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13749/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13749/events | https://github.com/pandas-dev/pandas/pull/13749 | 166,981,554 | MDExOlB1bGxSZXF1ZXN0Nzg0MzE5OTg= | 13,749 | PERF: RangeIndex.is_monotonic_inc/dec | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
as the same as `is_unique`, it should be monotonic by definition
```
%timeit -n 1 -r 1 pd.RangeIndex(0, 1000000).is_monotonic_increasing
# current master
#1 loop, best of 1: 17.2 ms per loop
# this PR
#1 loop, be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13750 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13750/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13750/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13750/events | https://github.com/pandas-dev/pandas/pull/13750 | 166,984,800 | MDExOlB1bGxSZXF1ZXN0Nzg0MzQwOTI= | 13,750 | PERF/BUG: improve factorize for datetimetz | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
because `factorize` internally localize datetimetz, it raises when data contains DST boundary.
```
dti = pd.date_range('2016-11-06', freq='H', periods=5, tz='US/Eastern')
dti.factorize()
# AmbiguousTimeError: Canno... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13751 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13751/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13751/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13751/events | https://github.com/pandas-dev/pandas/pull/13751 | 166,986,276 | MDExOlB1bGxSZXF1ZXN0Nzg0MzUxNTM= | 13,751 | PERF: Improve duplicated perf | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-22T07:29:27Z | 2016-07-25T12:03:19Z | 2016-07-25T12:03:19Z | MEMBER | null | - [x] closes #10235
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
`Index/Series.duplicated` now uses dtype-based logic. Also skip algorithm if `Index.is_unique` is `True` (expected to be cached in practical situation).
**asv:**
```
before after r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13752 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13752/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13752/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13752/events | https://github.com/pandas-dev/pandas/issues/13752 | 167,010,629 | MDU6SXNzdWUxNjcwMTA2Mjk= | 13,752 | Full build immediately starts every time setup.py is run, even with --help | {
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Tested with Python 3.5 & pandas 0.18.1 on Mac OS X and Ubuntu Server.
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-07-22T10:53:15Z | 2016-07-24T14:05:15Z | 2016-07-24T14:05:15Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
import numpy as np
df = pd.DataFrame({'A': [0, 1, 2, np.nan, 4],
'B': [0, 1, 2, np.nan, 4],
'C': [0, 1, 2, np.nan, 4],
'D': [0, 1, 2, np.nan, 4],
'E': [0, 1, 2,... | {
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```
In [87]: df = pd.DataFrame(columns=pd.MultiIndex.from_product([['A','B'],['a','b']]))
```
Setting the levels with an incorrect levels (too short), fails (correctly of course):
```
In [92]: df.columns.set_levels(['c'], level=1)
...
ValueError: On level 1, label max (1) >= length of level (1). NOTE... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
This PR is **NOT** ready for review, but to show basic direction. Especially, supporting period arithmetic is quite unreliable because current `_TimeOp` class is basically for `np.ndarray` operati... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13756 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13756/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13756/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13756/events | https://github.com/pandas-dev/pandas/issues/13756 | 167,060,830 | MDU6SXNzdWUxNjcwNjA4MzA= | 13,756 | Strange agg/idmin behavior | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-07-22T14:43:10Z | 2016-07-22T17:03:36Z | 2016-07-22T17:03:15Z | CONTRIBUTOR | null | I try to mimic [this](http://stackoverflow.com/questions/25071937/filter-pandas-dataframe-based-on-max-values-in-a-column) with a datetime dtype column
#### Code Sample, a copy-pastable example if possible
``` python
import pandas as pd
df = pd.DataFrame(dict(
date = ['2006-12-01', '2008-12-01', '2011-11-01'],
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- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13758 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13758/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13758/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13758/events | https://github.com/pandas-dev/pandas/issues/13758 | 167,115,701 | MDU6SXNzdWUxNjcxMTU3MDE= | 13,758 | Issue with Zero's Broadcasting down a column in Heterogeneous data columns ... | {
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"closed_at": "2020-01-30T12:18:05Z",
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2016-07-22T19:31:27Z | 2020-01-07T23:45:41Z | 2020-01-07T23:45:41Z | CONTRIBUTOR | null | I had a recent use case which produced some unexpected output and I have isolated the problem down to a much simpler case to replicate the behavior.
Please see simplified code example below.
#### Code Sample, a copy-pastable example if possible
``` python
import pandas as pd
import numpy as np
data = {
'One' : ... | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew not needed
`union_categoricals` doesn't handle `NaN` properly.
**on current master:**
```
from pandas.types.concat import union_categoricals
union_categoricals([pd.Categorical([np.nan, 1]), pd.Categorical([2, np.nan])])... | {
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I want to transfer the follwing dataframe to JSON using a dictionary style.
```
weightedRisk riskAsset safetyAsset weightedAsset riskRank
0 0.029839 0.029839 0.220161 0.25 2
1 0.053840 0.053840 0.446160 0.5... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
Added additional '\' characters in order to produce the correct format in the documentation.
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- [x] tests added / passed
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- [x] whatsnew entry
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- [x] tests added / passed
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`.append / concat` can handle ordered `Categorical` which has the identical categories. However, `union_categorical` raises `TypeError`. This PR allows `union_categorical` to han... | {
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Changed input to be a `Python` object (i.e. no typing), and the segfault went away. Discovered when there were segfaults in printing a `DataFrame` containing such an array.
Closes #13717.
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https://api.github.com/repos/pandas-dev/pandas/issues/13765 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13765/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13765/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13765/events | https://github.com/pandas-dev/pandas/pull/13765 | 167,188,888 | MDExOlB1bGxSZXF1ZXN0Nzg1NzQ1ODE= | 13,765 | BUG: RangeIndex accepting length-1 arrays as argument | {
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**on current master:**
```
# different categoricals
pd.concat([pd.Series([1, 2], dtype='category'),
pd.Series([3, 4], dtype='category')])
# ValueError: incompatible categories in cate... | {
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- [ ] ToDo:
- [ ] Add detail of dtype promotion
Moved some topics to corresponding docs. Also removed following duplicates.
**Parsing Dates from Text Files:** the same contents exists on io doc.
- http://pandas-docs.github.io/pandas-docs-travis/gotchas.html#parsing-dates-from-text-files
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Must be fixed by `timedelta` dtype. Added tests.
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https://api.github.com/repos/pandas-dev/pandas/issues/13770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13770/events | https://github.com/pandas-dev/pandas/pull/13770 | 167,221,017 | MDExOlB1bGxSZXF1ZXN0Nzg1OTE2MTA= | 13,770 | BUG: datetime64[us] arrays with NaT cannot be cast to DatetimeIndex | {
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Fixed by #13692. Added tests.
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- [x] tests added / passed
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The root cause looks normal `Index` raises `OutOfBoudsDatetime`. I think it should be coerced to `object` dtype because user specifies no dtype.
```
pd.Index([datetime(9999, 1, 1)])
# on current... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry not needed?
``` python
# before
In [7]: pd.to_numeric(['a'])
ValueError: Unable to parse string
# after
In [1]: pd.to_numeric(['a'])
ValueError: Unable to parse string "a" at position 0
```
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... | 4 | 2016-07-24T15:27:15Z | 2020-04-14T05:25:38Z | 2020-04-14T05:25:32Z | CONTRIBUTOR | null | xref #13351
[Here's the test](https://github.com/pydata/pandas/commit/964b7bba7f5878c79130479f75461c58dd0c4b3e), currently skipped
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
[Notebook comparing `DataFrame._html_repr_` to `DataFrame.style`](https://gist.github.com/609c398f814b4a505bf4f406670e457e)
I think we're identical for non-truncated DataFrames. That' has not be... | {
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## 1.0.0
- [x] #16994 ``inplace`` arg to ``.set_axis()`` (0.21.0) (#27525)
- [x] #17739 ``.get_value()`` and ``.set_value()`` (0.21.0) (#27377)
- [x] #22264 list-likes IN ``str.cat`` (0.24.0... | {
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```
In [1]: df = pandas.DataFrame({ 'x' : [], 'y' : [], 'z' : []})
In [2]: df
Out[2]:
Empty DataFrame
Columns: [x, y, z]
Index: []
In [3]: df.applymap(lambda x: x)
Out[3]:
x NaN
y NaN
z NaN
dtype: float64
In [4]: df = pandas.DataFrame({ 'x' : [1], 'y' : [1], 'z' : [1]})
In [5]: df.appl... | {
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Upgrading from 0.17 to 0.18 caused .copy() to no longer be called.
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-24T21:44:10Z | 2016-07-25T21:58:01Z | 2016-07-25T21:57:33Z | MEMBER | null | Title is self-explanatory. Picks up where #6919 left off.
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https://api.github.com/repos/pandas-dev/pandas/issues/13782 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13782/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13782/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13782/events | https://github.com/pandas-dev/pandas/pull/13782 | 167,271,134 | MDExOlB1bGxSZXF1ZXN0Nzg2MTk0NTc= | 13,782 | DOC: Added note to io.rst regarding reading in mixed dtypes | {
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"followers_url": "https://api.github.com/users/jr... | 7 | 2016-07-25T02:35:39Z | 2016-07-27T10:40:12Z | 2016-07-27T10:39:32Z | CONTRIBUTOR | null | - [x] closes #13746
- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
This is my first time contributing to the docs, I will gladly take any criticism.
Thanks
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https://api.github.com/repos/pandas-dev/pandas/issues/13783 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13783/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13783/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13783/events | https://github.com/pandas-dev/pandas/issues/13783 | 167,336,022 | MDU6SXNzdWUxNjczMzYwMjI= | 13,783 | Timezone dropped when dataframes are joined after resampling | {
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When I merge 2 dataframes, using join() or concat() (I didn't try with merge) and one of these has been previously resam... | {
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This is used internally, just want to remove the external visibility (as not been necessary for quite a few releases).
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-25T12:06:13Z | 2016-07-28T23:41:41Z | 2016-07-28T23:41:41Z | CONTRIBUTOR | null | use Tempita support to provide templates for routines in `hashtable.pyx`. Lots of duplicated code by dtype that can easily use fused types, so code generation is needed. Following along the lines of #13716 would be nice.
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https://api.github.com/repos/pandas-dev/pandas/issues/13787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13787/events | https://github.com/pandas-dev/pandas/pull/13787 | 167,390,463 | MDExOlB1bGxSZXF1ZXN0Nzg2OTg2MTY= | 13,787 | BUG: Slicing subclasses of SparseDataFrames. | {
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- [X] passes `git diff upstream/master | flake8 --diff`
This changes `SparseDataFrame` to use proper subclassing functionality so slicing of subclasses of `SparseDataFrame` works. Example of a failure that this PR fixes:
``` python
import pandas as pd
class DenseSubclassDF(pd.DataFrame):
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The pull request:
- [x] closes #13703;
- [x] passes all tests in `test.sh` except one (see the output);
- [x] passes the code style test `git diff upstream/master | flake8 --diff`;
### Details
Basically the function [**parse_trim_buffers**](https://github.com/pydata/pandas/blob/master/pandas/src/parser/to... | {
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#### Code Sample, a copy-pastable example if possible
```
from pandas.core.base import FrozenList
import sys
fl = FrozenList()
sys.getsizeof(fl)
```
###... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-25T22:20:46Z | 2017-03-03T10:12:22Z | 2017-03-03T10:12:21Z | MEMBER | null | Triggered by #13785, I looked at the top level namespace, and I was wondering if the following functions are needed:
- [ ] `pd.Expr`
- [ ] `pd.pnow()`: returns the current date as a Period with specified freq (https://github.com/pydata/pandas/issues/12641)
- [ ] `pd.info()`
- [ ] `pd.groupby()`
- [ ] `match`: "Com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13791 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13791/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13791/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13791/events | https://github.com/pandas-dev/pandas/pull/13791 | 167,486,421 | MDExOlB1bGxSZXF1ZXN0Nzg3Njc0MTQ= | 13,791 | ENH: add Index.dropna | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-07-25T23:07:58Z | 2016-07-29T00:08:42Z | 2016-07-29T00:08:33Z | MEMBER | null | - [x] closes #6194
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
after this PR:
```
idx = pd.Index([1, 2, np.nan, 4])
idx.dropna()
# Float64Index([1.0, 2.0, 4.0], dtype='float64')
```
MI has option `how` to drop if any/all levels are NA (the same as `DataFram... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13792 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13792/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13792/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13792/events | https://github.com/pandas-dev/pandas/pull/13792 | 167,488,152 | MDExOlB1bGxSZXF1ZXN0Nzg3Njg2OTA= | 13,792 | BUG: fix categories in HDFStore not filtering correctly (#13322) | {
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- [x] tests passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Fixed bug in pytables.py where series with categories were not being filtered properly.
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https://api.github.com/repos/pandas-dev/pandas/issues/13793 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13793/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13793/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13793/events | https://github.com/pandas-dev/pandas/issues/13793 | 167,490,735 | MDU6SXNzdWUxNjc0OTA3MzU= | 13,793 | ERR: disallow RangeIndex() | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-25T23:44:00Z | 2016-07-27T10:22:38Z | 2016-07-27T10:22:38Z | CONTRIBUTOR | null | xref #13749
this is not consistent with other Indexes where we don't allow them to be constructed with no data passed (it can be `None`), but that's the idea. `start` must be not-None.
IOW this should raise `ValueError`
```
In [3]: pd.RangeIndex()
Out[3]: RangeIndex(start=0, stop=0, step=1)
```
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"followers_url": "https://api.github.com/users/jr... | 6 | 2016-07-26T00:18:40Z | 2016-07-26T09:02:21Z | 2016-07-26T08:46:33Z | CONTRIBUTOR | null | The current asv usage instructions in contributing.rst may be unclear for PRs with multiple commits.
By default `asv continuous` uses head^ as the commit to compare to, whereas for PRs you usually want to compare to master. Write the instructions so that the comparison point is clear.
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https://api.github.com/repos/pandas-dev/pandas/issues/13795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13795/events | https://github.com/pandas-dev/pandas/issues/13795 | 167,497,911 | MDU6SXNzdWUxNjc0OTc5MTE= | 13,795 | BUG: resample nunique calculation incorrect | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-07-26T00:49:37Z | 2016-07-26T18:31:37Z | 2016-07-26T10:44:46Z | NONE | null | # Summary
Passing 'nunique' to resample produces incorrect output. However, passing `pd.Series.nunique` works.
#### Code Sample, a copy-pastable example if possible
```
import pandas as pd
from pandas import Timestamp
time = [Timestamp('2016-06-28 09:35:35'), Timestamp('2016-06-28 16:09:30'), Timestamp('2016-06-28... | {
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Changes `get_dummies` return columns with `uint8` dtypes instead of coercing to floats if they were alongside other float columns.
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``` python
import pandas as pd
import numpy as np
ind = [
['AA','AA','AA','BB','BB'],
['A' ,'B' ,'B' ,'a' ,'b']
]
ind_nonLex = [
['CC','CC','CC','BB','BB'],
['A' ,'B' ,'B' ,'a' ,'b']
]
strCol=pd.DataFrame([['fooA'],['fooB'],['fooC... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13799/events | https://github.com/pandas-dev/pandas/issues/13799 | 167,533,602 | MDU6SXNzdWUxNjc1MzM2MDI= | 13,799 | Joining on a column, not index, gives erroneous result | {
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... | 4 | 2016-07-26T06:53:10Z | 2019-10-21T19:52:16Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
d1 = pd.DataFrame({'a': [1, 2], 'b': [11, 22]})
d2 = pd.DataFrame({'a': [1, 2], 'c': ['aa', 'bb']})
d1.join(d2, on=['a'], how='outer', lsuffix='.d1', rsuffix='.d2')
```
#### Actual output
```
a a.d1 b a.d2 c
0 1.0 1.0 11.0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13800/events | https://github.com/pandas-dev/pandas/pull/13800 | 167,553,953 | MDExOlB1bGxSZXF1ZXN0Nzg4MTM4OTc= | 13,800 | TST: Add test for skipfooter + decimal in read_csv | {
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Closes #6971.
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https://api.github.com/repos/pandas-dev/pandas/issues/13801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13801/events | https://github.com/pandas-dev/pandas/pull/13801 | 167,580,670 | MDExOlB1bGxSZXF1ZXN0Nzg4MzIxMTU= | 13,801 | BUG: handle outofbounds datetimes in DatetimeConverter | {
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... | closed | false | null | [] | {
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This at least solves the direct negative consequence (erroring code by importing pandas) of registering our converters by default.
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https://api.github.com/repos/pandas-dev/pandas/issues/13802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13802/events | https://github.com/pandas-dev/pandas/pull/13802 | 167,593,953 | MDExOlB1bGxSZXF1ZXN0Nzg4NDE4MDk= | 13,802 | BUG: TypeError in merge with timedelta64 column | {
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"description": "np.nan, pd.NaT, pd.NA, d... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-07-26T12:22:23Z | 2016-07-26T22:49:35Z | 2016-07-26T22:49:35Z | MEMBER | null | - [x] closes #13389
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
A root cause is `isnull` raises `TypeError` if datetime-like has other time unit than `ns`.
```
pd.isnull(np.array([1, 2], dtype='datetime64[D]'))
# TypeError: ufunc 'isnan' not supported for th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13803/events | https://github.com/pandas-dev/pandas/pull/13803 | 167,594,426 | MDExOlB1bGxSZXF1ZXN0Nzg4NDIxNTY= | 13,803 | BUG: RangeIndex can be created without args | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-07-26T12:24:54Z | 2016-07-27T10:23:05Z | 2016-07-27T10:22:38Z | MEMBER | null | - [x] closes #13793
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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} |
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