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https://api.github.com/repos/pandas-dev/pandas/issues/23912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23912/events | https://github.com/pandas-dev/pandas/pull/23912 | 384,120,544 | MDExOlB1bGxSZXF1ZXN0MjMzNDAxODA0 | 23,912 | TST: split up pandas/tests/indexing/test_multiindex.py | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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only whole tests moved, tests have not been split up. this and the removal of classes is left for a follow-on PR. | {
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Hello @datapythonista !
As requested in #22892 , I corrected the docstring of the pandas/core/generic.py xs function to pass correctly the following command :
./scripts/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23914/events | https://github.com/pandas-dev/pandas/issues/23914 | 384,133,354 | MDU6SXNzdWUzODQxMzMzNTQ= | 23,914 | is_datetimelike treatment of PeriodDtype inconsistent | {
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```
def is_datetimelike(arr):
""" [...] """
return (is_datetime64_dtype(arr) or is_datetime64tz_dtype(arr) or
is_timedelta64_dtype(arr) or
isinstance(arr, ABCPeriodIndex) or
is_datetimetz(arr))
````
`is_datetimetz` is AFAICT redundant with `is_dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23915/events | https://github.com/pandas-dev/pandas/pull/23915 | 384,143,915 | MDExOlB1bGxSZXF1ZXN0MjMzNDE3MjY0 | 23,915 | BUG - remove scaling multiplier from `Period` diff result | {
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"followers_url": "https://api.github... | 18 | 2018-11-26T01:35:57Z | 2018-12-09T14:02:21Z | 2018-12-09T14:02:18Z | CONTRIBUTOR | null | - [ ] closes #23878
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/23916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23916/events | https://github.com/pandas-dev/pandas/pull/23916 | 384,146,634 | MDExOlB1bGxSZXF1ZXN0MjMzNDE5MDgx | 23,916 | REF: DatetimeIndex constructor fixups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23917/events | https://github.com/pandas-dev/pandas/pull/23917 | 384,157,798 | MDExOlB1bGxSZXF1ZXN0MjMzNDI2ODky | 23,917 | CLN: Remove/deprecate unused/misleading dtype functions | {
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"followers_url": "https://api.github... | 8 | 2018-11-26T03:11:25Z | 2018-11-27T18:48:53Z | 2018-11-27T18:01:54Z | MEMBER | null | For "misleading" the leading case is `is_int_or_datetime_dtype`, which includes timedelta64 but excludes datetime64tz.
Several branches in `lib.infer_dtype` are unreachable, are removed.
`is_datetimetz` is redundant with `is_datetime64tz_dtype`, is deprecated, and internal uses of it are changed.
`is_period` i... | {
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... | open | false | null | [] | null | 1 | 2018-11-26T03:14:59Z | 2020-04-01T04:01:48Z | null | MEMBER | null | IMO somewhat unexpected behavior depending on the arguments provided to shift after a groupby:
```python
In [26]: ser = pd.Series(range(3), index=pd.date_range('1/1/18', periods=3))
In [28]: ser.groupby([1,1,1]).shift() ... | {
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"followers_url": "https://api.github... | 8 | 2018-11-26T03:31:46Z | 2018-11-28T23:38:12Z | 2018-11-28T23:34:58Z | MEMBER | null | Also `verify_integrity` since allowing that to be False complicates things, and internally if its False we should be using simple_new anyway
- [x] closes #20535
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https://api.github.com/repos/pandas-dev/pandas/issues/23920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23920/events | https://github.com/pandas-dev/pandas/issues/23920 | 384,212,313 | MDU6SXNzdWUzODQyMTIzMTM= | 23,920 | Install numpy and cython when you run make if they were not present | {
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... | closed | false | null | [] | null | 3 | 2018-11-26T07:57:23Z | 2021-02-06T18:51:12Z | 2021-02-06T18:51:12Z | CONTRIBUTOR | null | I created a new virtual env and run `make`, the installation exited with saying
```
02:31 $ make
python setup.py build_ext --inplace
Traceback (most recent call last):
File "/home/dtdev/.virtualenvs/pandas/lib/python3.6/site-packages/pkg_resources/__init__.py", line 357, in get_provider
module = sys.modul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23921/events | https://github.com/pandas-dev/pandas/pull/23921 | 384,244,851 | MDExOlB1bGxSZXF1ZXN0MjMzNDkwOTQw | 23,921 | Proper boxing of scalars in `DataFrame.to_dict` | {
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"followers_url": "https://api.github... | 15 | 2018-11-26T09:37:53Z | 2018-12-02T19:20:22Z | 2018-12-02T19:20:17Z | CONTRIBUTOR | null | - [x] closes #23753
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23922/events | https://github.com/pandas-dev/pandas/issues/23922 | 384,249,513 | MDU6SXNzdWUzODQyNDk1MTM= | 23,922 | TST: Disallow bare pytest.raises | {
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... | 44 | 2018-11-26T09:50:04Z | 2020-01-14T12:24:51Z | 2020-01-14T12:24:50Z | MEMBER | null | End users rely on error messages for their debugging purposes. Thus, it is important that we make sure that the correct error messages are surfaced depending on the error triggered.
<strike>I would like to propose that we disallow the following:</strike>
I think we should convert the following:
~~~python
with ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23923/events | https://github.com/pandas-dev/pandas/issues/23923 | 384,284,619 | MDU6SXNzdWUzODQyODQ2MTk= | 23,923 | TST: Review if we are really testing with different locales | {
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```
export LC_ALL="$LOCALE_OVERRIDE";
export LANG="$LOCALE_OVERRIDE";
```
and immediately later we display the locale detected by pandas:
```
pycmd='import pandas; print("pandas detected console encoding: %s" % pandas.get_option("display.encoding"))'
python -c ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23924/events | https://github.com/pandas-dev/pandas/pull/23924 | 384,289,404 | MDExOlB1bGxSZXF1ZXN0MjMzNTI1NDU3 | 23,924 | TST/CI: Unify CI test scripts (single and multi) and simplify the system | {
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"followers_url": "https://api.github... | 6 | 2018-11-26T11:33:03Z | 2018-11-30T21:33:47Z | 2018-11-30T21:33:43Z | MEMBER | null | - [X] refs #23658
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The goal of this PR is:
- Avoid repetitive code by merging `ci/script_single.sh` and `ci/script_multi.sh`
- Simplify calls to different tests (mainly slow vs not slow), by avoid... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23925/events | https://github.com/pandas-dev/pandas/issues/23925 | 384,306,115 | MDU6SXNzdWUzODQzMDYxMTU= | 23,925 | DataFrame Quantile Broken with Datetime Data | {
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```python
In [17]: pd.Series(pd.date_range('1/1/18', periods=5)).quantile()
Out[17]: Timestamp('2018-01-03 00:00:00')
```
But the equivalent method with a DataFrame raises:
```python-traceback
In [18]: pd.DataFrame(pd.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23926/events | https://github.com/pandas-dev/pandas/issues/23926 | 384,306,415 | MDU6SXNzdWUzODQzMDY0MTU= | 23,926 | Please introduce a simple way to entirely disable the “sniffer” | {
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After sea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23927/events | https://github.com/pandas-dev/pandas/issues/23927 | 384,314,081 | MDU6SXNzdWUzODQzMTQwODE= | 23,927 | Cython language_level Warning - switch to Python3? | {
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```bash
Cython/Compiler/Main.py:367: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: clones/pandas/pandas/_libs/groupby.pxd
```
Haven't looked into the implications as of yet... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23928/events | https://github.com/pandas-dev/pandas/issues/23928 | 384,402,083 | MDU6SXNzdWUzODQ0MDIwODM= | 23,928 | TST: Run tests using a database explicitly | {
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This has two implications:
- It's not easy in the CI to know which build... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23929/events | https://github.com/pandas-dev/pandas/issues/23929 | 384,421,868 | MDU6SXNzdWUzODQ0MjE4Njg= | 23,929 | Dtype checking in reshape.merge | {
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] | closed | false | null | [] | null | 0 | 2018-11-26T16:55:48Z | 2020-06-06T16:10:05Z | 2020-06-06T16:10:05Z | MEMBER | null | There is a check (equivalent to)
```
elif (issubclass(lk.dtype.type, (np.integer, np.timedelta64, np.datetime64)) and
issubclass(rk.dtype.type, (np.integer, np.timedelta64, np.datetime64))):
```
which I'm told is incorrect:
> this is not right, these should be in separate branches here, the datetime /... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23930/events | https://github.com/pandas-dev/pandas/issues/23930 | 384,506,701 | MDU6SXNzdWUzODQ1MDY3MDE= | 23,930 | check_comprehensiveness breaks running a subset of tests | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2018-11-26T20:55:57Z | 2020-10-29T00:58:48Z | 2020-10-29T00:58:48Z | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/blob/b7294dd3ec47dffa50f3c8bdf89aa8a01f4494f2/pandas/tests/indexing/test_coercion.py#L19
so I can't run, e.g. `pytest pandas/tests/indexing/test_coercion.py::TestFillnaSeriesCoercion::test_fillna_datetime64tz`, which is a tad annoying. Can we rewrite the check to be aware of what... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23931/events | https://github.com/pandas-dev/pandas/issues/23931 | 384,507,823 | MDU6SXNzdWUzODQ1MDc4MjM= | 23,931 | `join` on tz-aware column and tz-aware index wrongly fails (regression from 0.22) | {
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"followers_url": "https://api.github.com/u... | 5 | 2018-11-26T20:59:18Z | 2019-02-11T18:53:42Z | 2019-02-11T18:53:42Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df1 = pd.DataFrame(
{
'date': pd.date_range(start='2018-01-01', periods=5,tz='America/Chicago'),
'vals':list('abcde')
}
)
df2 = pd.DataFrame(
{
'date': pd.date_range(start='2018-01-03',periods=5, tz='Ameri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23932/events | https://github.com/pandas-dev/pandas/issues/23932 | 384,514,787 | MDU6SXNzdWUzODQ1MTQ3ODc= | 23,932 | Series[datetime64[ns, tz]].__setitem__ fails to coerce for ndarray value | {
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"description": "Related t... | closed | false | null | [] | null | 2 | 2018-11-26T21:19:49Z | 2019-01-02T18:20:35Z | 2019-01-02T18:20:35Z | CONTRIBUTOR | null | What's the expected output for
```python
In [9]: a = pd.Series(pd.DatetimeIndex(['2000', '2000'], tz="UTC"))
In [10]: a.loc[:] = np.array([pd.Timestamp('2000', tz="UTC")] * 2)
```
On master, we coerce `self` to `object` and then set.
```python
In [11]: a
Out[11]:
0 2000-01-01 00:00:00+00:00
1 20... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23933/events | https://github.com/pandas-dev/pandas/issues/23933 | 384,532,795 | MDU6SXNzdWUzODQ1MzI3OTU= | 23,933 | Potential regression in master re empty Extension Indexes | {
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"followers_url": "https://api.github... | 2 | 2018-11-26T22:11:44Z | 2019-01-03T22:04:55Z | 2019-01-03T22:04:55Z | CONTRIBUTOR | null |
Setting an additional index on a DataFrame with an empty PeriodIndex raises a couple of exceptions:
```python
In [2]:
df = pd.DataFrame(dict(a=1), index=pd.PeriodIndex(start='2000', freq='B', periods=0, name='date'))
df
Out[2]:
Empty DataFrame
Columns: [a]
Index: []
[ins] In [10]: df.set_index('a', ap... | {
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"followers_url": "https://api.github... | 11 | 2018-11-26T22:15:42Z | 2018-11-29T12:23:40Z | 2018-11-29T12:23:40Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
[ins] In [1]: import pandas as pd
p
[ins] In [2]: pd.show_versions()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-3d232a07e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23935/events | https://github.com/pandas-dev/pandas/pull/23935 | 384,542,339 | MDExOlB1bGxSZXF1ZXN0MjMzNzIwODc2 | 23,935 | Add asv benchmarks for essential functions | {
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] | closed | false | null | [] | null | 11 | 2018-11-26T22:42:00Z | 2018-11-28T00:48:37Z | 2018-11-27T22:27:16Z | CONTRIBUTOR | null | I've jury-rigged `asv` with `coverage` to enable automatic identification of what parts of the code base are lacking `asv` benchmark coverage and found a number of essential functions on my first pass:
- `pd.DataFrame.rename()`
- `pd.cut()` / `pd.qcut()`
- `.dot()`
- Any `.plot()` method other than `line`
- L... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23936/events | https://github.com/pandas-dev/pandas/pull/23936 | 384,572,948 | MDExOlB1bGxSZXF1ZXN0MjMzNzQ0ODEy | 23,936 | DOC: fix DataFrame.quantile docstring and doctests | {
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"followers_url": "https://api.github... | 6 | 2018-11-27T00:51:14Z | 2018-12-09T18:49:39Z | 2018-12-09T15:55:49Z | CONTRIBUTOR | null | - [x] closes #22898
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Based on #22459. Fix the docstring for DataFrame.quantile. I also updated `ci/code_checks.sh`. | {
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"followers_url": "https://api.github... | 6 | 2018-11-27T01:02:42Z | 2018-11-27T01:45:28Z | 2018-11-27T01:43:18Z | MEMBER | null | Implements the agreed-upon portions of #23675 so we can keep moving the ball down the field.
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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] | closed | false | null | [] | null | 6 | 2018-11-27T01:09:21Z | 2018-11-27T04:17:47Z | 2018-11-27T04:01:39Z | MEMBER | null | Then do some isorts for kicks | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Based on #22459. Fix the docstring for DataFrame.replace and DataFrame.set_index. I put them together since set_index was quite simple: there was two Returns sections.
I also updated ci/code_checks.sh. DataFrame.stack... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23940/events | https://github.com/pandas-dev/pandas/pull/23940 | 384,605,505 | MDExOlB1bGxSZXF1ZXN0MjMzNzY4NTcx | 23,940 | CLN: Cython Py2/3 Compatible Imports | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
@jbrockmendel
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https://api.github.com/repos/pandas-dev/pandas/issues/23941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23941/events | https://github.com/pandas-dev/pandas/pull/23941 | 384,629,314 | MDExOlB1bGxSZXF1ZXN0MjMzNzg0MjQ4 | 23,941 | BUG/ENH - base argument no longer ignored in period resample | {
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"followers_url": "https://api.github... | 9 | 2018-11-27T05:25:20Z | 2018-12-14T14:57:34Z | 2018-12-14T14:57:29Z | CONTRIBUTOR | null | - [ ] closes #23882
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23942 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23942/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23942/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23942/events | https://github.com/pandas-dev/pandas/issues/23942 | 384,630,135 | MDU6SXNzdWUzODQ2MzAxMzU= | 23,942 | dropna() function has no subset in python 3.7 | {
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```python
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possible that your issu... | {
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] | closed | false | null | [] | null | 9 | 2018-11-27T07:10:52Z | 2019-02-27T23:50:05Z | 2019-02-27T23:50:05Z | CONTRIBUTOR | null | Partially Fixes #23877
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
@jreback Could you please review the fixtures, I haven't replaced all the `indexes` if the changes are correct I would fixturize other test cases | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23944 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23944/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23944/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23944/events | https://github.com/pandas-dev/pandas/issues/23944 | 384,660,057 | MDU6SXNzdWUzODQ2NjAwNTc= | 23,944 | to_json() to_csv() don't act the same for dates in iso format | {
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https://stackoverflow.com/questions/53494416/pandas-data-frame-to-json-to-csv-dont-act-the-same-for-dates-in-iso-forma
In Json the dates appear as: `"lastDeliveryDate":1543258826689`
In CSV the dates appear as:
```
lastDeliveryDa... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
# Your code here
for _, row_arr in DataFrame.iterrows():
```
#### Problem description
For a DataFrame, there is one column that contains complex numbers
Once interating rows, all the values in each row become complex, where the real part is the... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23949/events | https://github.com/pandas-dev/pandas/pull/23949 | 384,911,579 | MDExOlB1bGxSZXF1ZXN0MjM0MDAyNDQx | 23,949 | BUG: Fix lxml import in show_versions | {
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- [x] closes #23934
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23950/events | https://github.com/pandas-dev/pandas/issues/23950 | 384,922,869 | MDU6SXNzdWUzODQ5MjI4Njk= | 23,950 | pandas to_feather “Unsupported numpy type 5” and force df.eval() to explicit dtype | {
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] | closed | false | null | [] | null | 1 | 2018-11-27T18:12:46Z | 2018-11-27T18:44:37Z | 2018-11-27T18:44:24Z | NONE | null | I've got a 500GB datafile that I'm modifying with df.eval() and then saving in feather format. Here is an example program showing the feather error:
import pandas as pd
```
df = pd.DataFrame([[1.0, 0.678, 'hello'], [2.0, 0.779, 'foo'], [3.0, 0.218, 'bar']], dtype='float32', columns=['x','y','txt'])
print(df)
p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23951/events | https://github.com/pandas-dev/pandas/issues/23951 | 384,929,633 | MDU6SXNzdWUzODQ5Mjk2MzM= | 23,951 | Feature Request: add a startday argument to pandas.DatetimeIndex.dayofweek? | {
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... | open | false | null | [] | null | 1 | 2018-11-27T18:31:22Z | 2019-01-13T19:20:55Z | null | CONTRIBUTOR | null | Not sure if this is feasible or if there is support for it.
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DatetimeIndex.dayofweek.html
gives the day of the week with Monday=0, Sunday=6.
For my application I would like Sunday=0 and Saturday=6.
I wonder if there could be a startday argument to `... | {
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But more or less the same imports and options that are used in the `whatsnew` files, are used in most `.rst` files.
What would b... | {
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One test will fail until #23789 is merged.
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```
>>>-------------------------------------------------------------------------
Exception in /home/travis/build/pandas-dev/pandas/doc/source/io.rst at block ending on line 668
Specify :okexcept: as an option in the ipython:: block to suppress this m... | {
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```python
df = pd.DataFrame([['A', 'A1', 'label1', 1],
['A', 'A2', 'label2', 2],
['B', 'A1', 'label1', 3],
['B', 'A2', 'label2', 4]], columns=['index_1', 'index_2', 'label', 'value'])
df = df.set_index(['index_1', 'index_2'])
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"followers_url": "https://api.github... | 4 | 2018-11-27T22:07:12Z | 2018-11-28T16:22:27Z | 2018-11-28T16:22:24Z | CONTRIBUTOR | null | (cherry picked from commit 49f6495ba5ceef35a7a962f20e8b863c544592b7)
This avoids a segfault I (and possibly @jbrockmendel) were seeing on our datetimearray branches from us freeing a region of memory we didn't allocate.
I haven't really groked things yet, but `_libs/reduction.pyx::Slider` is doing some strange th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23957/events | https://github.com/pandas-dev/pandas/pull/23957 | 385,011,349 | MDExOlB1bGxSZXF1ZXN0MjM0MDc5ODY2 | 23,957 | isort plotting, a handful of test dirs | {
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"followers_url": "https://api.github... | 3 | 2018-11-27T22:17:38Z | 2018-11-28T14:37:45Z | 2018-11-28T13:13:28Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23958/events | https://github.com/pandas-dev/pandas/issues/23958 | 385,016,456 | MDU6SXNzdWUzODUwMTY0NTY= | 23,958 | pd.read_hdf bug | {
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Link to the hdf5 file to reproduce: https://www.dropbox.com/s/kwwv6hqtdpswkf9/behavior.hdf5?dl=0
#### Code Sample
These 2 codes:
```python
from pandas import read_hdf
events = read_hdf('./behavior.hdf5')
```
```python
from h5io import read_hdf5
events = read_hdf5('./behavior.hdf5... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23959/events | https://github.com/pandas-dev/pandas/issues/23959 | 385,017,049 | MDU6SXNzdWUzODUwMTcwNDk= | 23,959 | tz_compare fails to consider string "UTC" and pytz UTC object equal | {
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```python
In [5]: pd._libs.tslibs.timezones.tz_compare("UTC", pytz.timezone("UTC"))
Out[5]: False
```
Other timezones behave as expected
```
In [6]: pd._libs.tslibs.timezones.tz_compare("US/Eastern", pytz.timezone("US/Eastern"))
Out[6]: True
```
Is this... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23960/events | https://github.com/pandas-dev/pandas/issues/23960 | 385,044,242 | MDU6SXNzdWUzODUwNDQyNDI= | 23,960 | Wrong argument documentation for reindex_axis | {
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"followers_url": "https://api.github... | 4 | 2018-11-28T00:14:27Z | 2018-12-09T08:03:17Z | 2018-12-09T08:02:19Z | CONTRIBUTOR | null | #### Problem description
The documentation for ``DataFrame.reindex_axis()`` has incorrect documentation for the arguments. The function signature is correct, but the description of ``fill_value`` is missing and there's a description of a ``tolerance`` argument that isn't accepted by the actual method. This can caus... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23961/events | https://github.com/pandas-dev/pandas/pull/23961 | 385,056,319 | MDExOlB1bGxSZXF1ZXN0MjM0MTE0NjI4 | 23,961 | Collect Index methods by purpose: rendering, constructors, setops... | {
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"followers_url": "https://api.github... | 5 | 2018-11-28T01:09:02Z | 2018-11-28T18:47:57Z | 2018-11-28T17:45:47Z | MEMBER | null | Zero changes to the contents of _any_ methods, just collecting them in reasonably-scoped sections. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23962/events | https://github.com/pandas-dev/pandas/issues/23962 | 385,059,262 | MDU6SXNzdWUzODUwNTkyNjI= | 23,962 | Feature Request: Bootstrap sample from DataFrame with MultiIndex | {
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There were two promising stacko... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23963/events | https://github.com/pandas-dev/pandas/pull/23963 | 385,069,299 | MDExOlB1bGxSZXF1ZXN0MjM0MTI0MjIz | 23,963 | BUG: CategoricalIndex allows reindexing with non-unique CategoricalIndex | {
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"followers_url": "https://api.github... | 7 | 2018-11-28T02:12:03Z | 2018-12-02T23:10:48Z | 2018-12-02T23:10:44Z | CONTRIBUTOR | null | `CategoricalIndex.reindex()` throws a `ValueError` if the target index is non-unique *and* not also a `CategoricalIndex`. This means a non-unique `CategoricalIndex` can be used to reindex, resulting in duplicated data:
```
In [1]: import pandas as pd
categorical_index = pd.CategoricalIndex(['bar', 'foo', 'ba... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23964/events | https://github.com/pandas-dev/pandas/issues/23964 | 385,083,674 | MDU6SXNzdWUzODUwODM2NzQ= | 23,964 | merge left_on enter multiple columns of content | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-11-28T03:19:26Z | 2018-11-30T05:44:00Z | 2018-11-29T15:53:41Z | NONE | null | #### Code Sample, a copy-pastable example if possible
k=pd.DataFrame({
"a":"222222",
"b":"33333",
},index=[[0]])
m=pd.DataFrame({
"c":"222222",
"n":"6554413"
},index=[[0]])
pd.merge(k,m,left_on=("a","b"),right_on=("c","n"))
```
#### Problem description
I want to me... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23965 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23965/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23965/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23965/events | https://github.com/pandas-dev/pandas/issues/23965 | 385,120,302 | MDU6SXNzdWUzODUxMjAzMDI= | 23,965 | DataFrame: damage data integrity in conversion and iterations | {
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```python
# Your code here
import pandas as pd
d = {'col1': [1, 2, 3], 'col2': [4, 5+1j, 6]}
dftemp = pd.DataFrame(d)
dftemp['col2']
dstemp = pd.Series({'col2': [4, 5+1j, 6]})
```
#### Problem description
dftemp['col2'] shows all vaues as below are com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23966/events | https://github.com/pandas-dev/pandas/pull/23966 | 385,123,795 | MDExOlB1bGxSZXF1ZXN0MjM0MTY0NjA2 | 23,966 | CLN: Add missing types to tslib.pyx | {
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"followers_url": "https://api.github... | 2 | 2018-11-28T06:41:59Z | 2018-11-28T18:14:02Z | 2018-11-28T13:45:35Z | MEMBER | null | These are just variables that were missing type declarations.
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```python
# Your code here
import pandas as pd
import matplotlib.pyplot as plt
import json
import dask.dataframe as dd
import time
df = pd.read_json('Studies\\01-10Aug.json',chunksize=4000,lines=True)
df=pd.DataFrame(df)
df
```
#### Problem description... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23968 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23968/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23968/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23968/events | https://github.com/pandas-dev/pandas/pull/23968 | 385,148,024 | MDExOlB1bGxSZXF1ZXN0MjM0MTgzMTk0 | 23,968 | GH20591 read_csv raise ValueError for bool columns with missing values (C engine) | {
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"followers_url": "https://api.github... | 7 | 2018-11-28T08:11:46Z | 2018-12-02T16:22:04Z | 2018-12-02T16:22:01Z | CONTRIBUTOR | null | - [X] closes #20591
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
As explained in the referenced issue, trying to cast missing values to bool dtype should result in a ValueError similar to when casting to int | {
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- [x] tests added / passed
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Verified that it does not affect the fixes by #19529 (for issue #19382) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23970/events | https://github.com/pandas-dev/pandas/issues/23970 | 385,250,787 | MDU6SXNzdWUzODUyNTA3ODc= | 23,970 | groupby observed=True not working for aggregating a column | {
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"followers_url": "https://api.github... | 2 | 2018-11-28T12:42:52Z | 2018-12-31T13:25:06Z | 2018-12-31T13:25:06Z | NONE | null | In the following the parameter `observed=True` will be ineffective (in pandas 0.23.4)
```python
import pandas as pd
dd=pd.DataFrame({"c":pd.Series([1,1,2], dtype="category"), "i":[1,2,2], "x":[1, 2, 3]})
gr=dd.groupby(["c", "i"], as_index=False, observed=True)["x"].sum()
gr # will contain a NaN for c=2, i=1
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https://api.github.com/repos/pandas-dev/pandas/issues/23971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23971/events | https://github.com/pandas-dev/pandas/pull/23971 | 385,301,084 | MDExOlB1bGxSZXF1ZXN0MjM0MzAyNjE2 | 23,971 | GroupBy Cleanup | {
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"followers_url": "https://api.github... | 2 | 2018-11-28T14:45:33Z | 2018-11-28T22:28:01Z | 2018-11-28T22:27:41Z | MEMBER | null | Random Str formatting changes and removal of unneeded subclass overrides | {
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"followers_url": "https://api.github... | 7 | 2018-11-28T14:47:10Z | 2018-12-26T23:51:24Z | 2018-12-25T18:06:26Z | MEMBER | null | All of these methods are defined on the base GroupBy class so these essentially are no-ops in current state.
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"followers_url": "https://api.github... | 4 | 2018-11-28T17:55:08Z | 2018-11-28T22:22:21Z | 2018-11-28T22:22:18Z | CONTRIBUTOR | null | broken formatting code from the cleanup in #18010
Not sure if this can be realistically tested - something weird in my local git causing tags to not come through - only impacts dev version reporting.
before:
```python-tb
import pandas as pd # import fails
~\Documents\python-dev\pandas\pandas\__init__.py in... | {
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"description": ... | closed | false | null | [] | null | 10 | 2018-11-28T18:30:34Z | 2018-11-29T10:21:27Z | 2018-11-29T10:21:27Z | MEMBER | null | Seems like `flake8-rst==0.4.2` is not available in conda anymore. This is making the Travis build fail. Newer versions of `flake8-rst` are not usable yet, as they validate more things than `0.4.2` and validating our docs would fail the CI too.
We're working on fixing all the flake8-rst linting problems in the docs, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23976/events | https://github.com/pandas-dev/pandas/pull/23976 | 385,413,808 | MDExOlB1bGxSZXF1ZXN0MjM0MzkwMzk5 | 23,976 | isort tests/reshape, plotting, sparse | {
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] | closed | false | null | [] | null | 3 | 2018-11-28T19:05:24Z | 2018-11-28T23:42:52Z | 2018-11-28T23:42:41Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23977/events | https://github.com/pandas-dev/pandas/issues/23977 | 385,415,315 | MDU6SXNzdWUzODU0MTUzMTU= | 23,977 | (Suggestion) Alert user when passing %p and %H in same format | {
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"description": "Requires... | open | false | null | [] | null | 2 | 2018-11-28T19:09:35Z | 2021-06-23T04:57:30Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
child['Timestamp'] = pd.to_datetime(child['Timestamp'], format='%d-%b-%y %H:%M:%S %p')
child.to_csv('test.csv')
```
#### Problem description
Short and sweet, when passing data into a formater 12 hour date time formats will pass when using a 24 h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23978 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23978/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23978/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23978/events | https://github.com/pandas-dev/pandas/issues/23978 | 385,454,415 | MDU6SXNzdWUzODU0NTQ0MTU= | 23,978 | BUG/TST: PeriodArray.__setitem__ with slice and list-like value fails | {
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"followers_url": "https://api.github... | 2 | 2018-11-28T20:59:28Z | 2018-12-02T23:19:01Z | 2018-12-02T23:19:01Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd; import numpy as np
In [2]: arr = pd.core.arrays.period_array([2000, 2001], 'D')
In [3]: arr[:1] = ['2001']
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23979/events | https://github.com/pandas-dev/pandas/issues/23979 | 385,468,762 | MDU6SXNzdWUzODU0Njg3NjI= | 23,979 | CLN: Refactor PeriodArray._format_native_types to use DatetimeArray | {
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... | 0 | 2018-11-28T21:41:30Z | 2018-11-28T21:41:51Z | null | CONTRIBUTOR | null | Once we have a DatetimeArray, we'll almost be able to share the implementation of `_format_native_types`. The main sticking point is that Period has a different default date format. It only prints the resolution necessary for the frequency.
```python
In [2]: pd.Timestamp('2000')
Out[2]: Timestamp('2000-01-01 00:... | {
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"followers_url": "https://api.github... | 2 | 2018-11-28T21:42:27Z | 2018-12-01T00:17:13Z | 2018-12-01T00:17:13Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: ii = pd.IntervalIndex.from_tuples([(0, 10), (2, 12), (4, 14)])
In [3]: pd.cut([5, 6], bins=ii)
Out[3]:
[(0, 10], (2, 12], (4, 14], (0, 10], (2, 12], (4, 14]]
Categories (3, interval[int64]): [(0, 10] < (2, 12] < (4, 14]]
```
#### Proble... | {
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"followers_url": "https://api.github... | 14 | 2018-11-28T22:16:22Z | 2018-12-05T20:21:26Z | 2018-12-05T20:21:24Z | CONTRIBUTOR | null | - [x] closes #23516
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This ends up being kind of hairy - open to suggestions on a better fix. cc @dragoljub, @cgohlke
Timings
```python
df = pd.DataFrame(np.random.randn(1000000, 10),
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] fixes a regression that was silently introduced in #23796 due to lack of tests
The errors I found for `core.dtypes.cast.maybe_promote` in #23833 were just scratching the surface. I sp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23983 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23983/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23983/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23983/events | https://github.com/pandas-dev/pandas/pull/23983 | 385,484,639 | MDExOlB1bGxSZXF1ZXN0MjM0NDQ2MDg2 | 23,983 | TST: fix fixture for numpy dtypes | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This was one of the things I stumbled over while working on #23982. There's a fixture for all_numpy_dtypes that got introduced in #21899, but it's a lie - it doesn't cover (nearly) all numpy ... | {
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>>> tdi = pd.TimedeltaIndex(['1 Day', 'NaT'])
>>> df = pd.DataFrame([tdi]) # i.e. 1 row, 2 columns
>>> df.dtypes
0 timedelta64[ns]
1 datetime64[ns]
dtype: object
```
The second column should also be `timedelta64[ns]` dtype.
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... | 3 | 2018-11-28T23:42:37Z | 2019-03-31T18:00:34Z | 2019-03-31T18:00:34Z | CONTRIBUTOR | null | ```python
In [2]: pd.DatetimeIndex([1, 2], dtype=object())
Out[2]: DatetimeIndex(['1970-01-01 00:00:00.000000001', '1970-01-01 00:00:00.000000002'], dtype='datetime64[ns]', freq=None)
```
this should probably raise. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23987/events | https://github.com/pandas-dev/pandas/pull/23987 | 385,507,298 | MDExOlB1bGxSZXF1ZXN0MjM0NDYzNjk0 | 23,987 | bug fix: parameter name changed to use_threads in read_feather | {
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```python
>>> import pandas as pd
>>> pd.read_feather('tmp/test')
...
```
```bash
in read_feather(path, nthreads)
110 return feather.read_dataframe(path)
111
--> 112 return feather.read_dataframe(path, nthreads=nthreads)
TypeError: read_feather() got an unexpected keyword argument... | {
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```
>>> ts = pd.Timestamp.now().tz_localize('US/Pacific')
>>> data = np.array([[ts, ts, ts], [ts, ts, ts]])
>>> pd.DataFrame(data)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pandas/core/frame.py", line 416, in __init__
copy=copy)
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- [ ] closes #xxxx
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```python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
N = 1000
df = pd.DataFrame({
'a': np.random.randint(0, 2, N),
'b': np.random.random(N)
})
plt.figure()
df.groupby('a').hist(histtype='step', ax=plt.gca())
plt.legend()... | {
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Current method
```python
import pandas as pd
dataframe = pd.DataFrame({'col1': list('aaabbbcc'), 'col2': range(8), 'col3': list('whatever')})
dataframe.groupby('col1').apply(lambda df: df.nlargest(2, 'col2'))
```
Desired method
```python
import pandas as ... | {
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"followers_url": "https://api.github... | 2 | 2018-11-29T15:30:32Z | 2018-11-29T16:32:44Z | 2018-11-29T16:32:40Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/23954 | {
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"followers_url": "https://api.github... | 10 | 2018-11-29T16:07:50Z | 2019-01-03T20:59:40Z | 2019-01-03T20:59:40Z | CONTRIBUTOR | null | leftover from https://github.com/pandas-dev/pandas/pull/23623
1. Signature for `.to_numpy()`: @jorisvandenbossche proposed `copy=True`, which I think is good. Beyond that, we may want to control the "fidelity" of the conversion. Should `Series[datetime64[ns, tz]].to_numpy()` be an ndarray of Timestamp objets or an n... | {
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```python
import pandas as pd
import numpy as np
from tabulate import tabulate
def render_cols(df, qdict, **kwargs):
'''Used with pipe to add units to numbers through explicit string conversion'''
df = df.copy()
prec = kwargs.get('prec', 3)
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-11-29T17:13:54Z | 2018-11-29T19:26:06Z | 2018-11-29T19:25:56Z | NONE | null | Hi, so I created a csv file with the following code:
df = pd.DataFrame(Listing_Data1, columns = Field1)
df.to_csv('Listing_my.csv', sep=",", index = False)
Everything looks right in the csv file. However, when I read the csv file using the following code:
with open('Listing_my.csv',, 'r') as f: #, encoding="utf... | {
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"description": "to_sql, ... | open | false | null | [] | null | 4 | 2018-11-29T17:25:26Z | 2021-06-23T05:00:42Z | null | NONE | null | Potential feature, could `df.to_sql()` return the indexes of the inserted rows? Something like [knex.js Query Builder](https://knexjs.org/#Builder-insert)
```python
inserted = df.to_sql(con=engine, name=example_table, if_exists='replace', index=False)
```
#### Problem description
This would allow for more quickl... | {
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"followers_url": "https://api.github... | 6 | 2018-11-29T18:41:06Z | 2018-12-01T00:18:15Z | 2018-12-01T00:17:14Z | MEMBER | null | - [ ] closes #23980
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24000/events | https://github.com/pandas-dev/pandas/pull/24000 | 385,905,642 | MDExOlB1bGxSZXF1ZXN0MjM0NzY5OTU1 | 24,000 | REF: prelim for fixing array_to_datetime | {
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"followers_url": "https://api.github... | 3 | 2018-11-29T20:07:57Z | 2018-11-29T22:29:04Z | 2018-11-29T22:01:14Z | MEMBER | null | `tslib.array_to_datetime` has an unused `format` kwarg. This gets rid of it.
`to_datetime` (or more specifically, `_convert_listlike_datetimes`) has a bunch of boxing logic inside a try/except that doesn't need to be, obscures what Exception we're trying to catch. This moves that code outside the try/except and de... | {
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"followers_url": "https://api.github... | 2 | 2018-11-29T21:10:25Z | 2018-11-29T21:50:35Z | 2018-11-29T21:50:35Z | CONTRIBUTOR | null | What're the expected dtypes here? object or datetimetz?
```python
In [27]: arr = np.array([[pd.Timestamp('2000', tz='UTC')] * 2, [pd.Timestamp('2000', tz='UTC')] * 2])
In [28]: pd.DataFrame(arr, index=[0, 1])
---------------------------------------------------------------------------
AssertionError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24002/events | https://github.com/pandas-dev/pandas/pull/24002 | 385,962,381 | MDExOlB1bGxSZXF1ZXN0MjM0ODE0NTg1 | 24,002 | DOC: Fix PEP-8 issues in computation.rst and comparison_*.rst | {
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- Fix PEP-8 issues in computation.rst
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https://api.github.com/repos/pandas-dev/pandas/issues/24004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24004/events | https://github.com/pandas-dev/pandas/pull/24004 | 385,971,542 | MDExOlB1bGxSZXF1ZXN0MjM0ODIxNzcy | 24,004 | CLEAN: Removing outdated and unused CI files | {
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- `ci/print_versions.py` doesn't work, as the used path has changed. It's not used anywhere in the code, and when needed, `python -c "import pandas; pandas.show_versions();"` is used instead.
- `ci/README.txt` it's outdated and incomplete. After updating the CI and making it more c... | {
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"followers_url": "https://api.github... | 4 | 2018-11-29T23:37:46Z | 2018-12-02T23:14:26Z | 2018-12-02T23:06:09Z | CONTRIBUTOR | null | closes #23555
closes #23556
split off from #23167
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24006 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24006/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24006/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24006/events | https://github.com/pandas-dev/pandas/pull/24006 | 385,977,932 | MDExOlB1bGxSZXF1ZXN0MjM0ODI2ODA4 | 24,006 | WIP: multi-timezone handling for array_to_datetime | {
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ATM `array_to_datetime` handles strings and datetime objects very differently, with `conversion.datetime_to_datetime64` picking up (some of) the slack. This unifies the treatment of strings/datetimes within array_to_datetime, rendering `conversion_to_datetime64` (and some ugly try/excepts in `pd.to_d... | {
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] | open | false | null | [] | null | 1 | 2018-11-30T01:03:46Z | 2018-11-30T15:08:15Z | null | NONE | null | #### Problem description
Currently, setting expand=True in str.split just creates new columns.
While there is a solution [here](https://stackoverflow.com/questions/47571618/how-to-split-expand-a-string-value-into-several-pandas-dataframe-rows) to expand row-wise, it would be much more convenient if we could specify ... | {
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```
In [3]: vals = np.array([pd.NaT for _ in range(10**6)])
In [4]: %timeit pd.to_datetime(vals)
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https://api.github.com/repos/pandas-dev/pandas/issues/24010 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24010/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24010/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24010/events | https://github.com/pandas-dev/pandas/issues/24010 | 386,084,728 | MDU6SXNzdWUzODYwODQ3Mjg= | 24,010 | Clarify behavior pd.Period and pd.PeriodIndex when using timestamp information | {
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"id": 211840... | open | false | null | [] | null | 1 | 2018-11-30T08:26:31Z | 2020-04-01T04:02:51Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
index = pd.date_range("2001-01-01-08:00:00", freq="B", periods=10)
DatetimeIndex(['2001-01-01 08:00:00', '2001-01-02 08:00:00',
'2001-01-03 08:00:00', '2001-01-04 08:00:00',
'2001-01-05 08:00:00', '2001-01-08 08:00:00',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24011/events | https://github.com/pandas-dev/pandas/issues/24011 | 386,136,103 | MDU6SXNzdWUzODYxMzYxMDM= | 24,011 | Rich comparisons of Timestamps raise TypeError instead of returning NotImplemented | {
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... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
"created_at": "2018-10-23T02:34:15Z",
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"followers_url": "https://api.github.com/users/j... | 8 | 2018-11-30T10:50:40Z | 2019-04-05T00:40:47Z | 2019-04-05T00:40:47Z | CONTRIBUTOR | null | Hello,
#### Problem description
The problem is that pandas' ``Timestamp`` raises ``TypeError`` when compared with unsupported types (from pandas' point of view), where I think it should return ``NotImplemented`` so that comparisons are delegated to the other object (if supported). See https://github.com/pandas-de... | {
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