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https://api.github.com/repos/pandas-dev/pandas/issues/21615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21615/events | https://github.com/pandas-dev/pandas/issues/21615 | 335,196,187 | MDU6SXNzdWUzMzUxOTYxODc= | 21,615 | `con` argument of `pandas.to_sql` | {
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import pandas as pd
import pymysql
conn = pymysql.connect(user='root', password='123456', db='test', charset='utf8')
df1 = pd.read_sql('select * from videos limit 100', conn)
df1.to_sql('video2', conn)
```
as you can see above, with a pymysql connection, `pd.read_sql` works fine, but `pd.to_sql` ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21616/events | https://github.com/pandas-dev/pandas/issues/21616 | 335,199,190 | MDU6SXNzdWUzMzUxOTkxOTA= | 21,616 | read_sas does not handle numeric variables stored with fewer than 8 bytes in SAS datasets | {
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https://stackoverflow.com/questions/49059421/pandas-fails-with-correct-data-type-while-reading-a-sas-file
https://stackoverflow.com/questions/51005244/how-can-i-preserve-the-data-type-of-a-column-when-using... | {
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cc @pandas-dev/pandas-core | {
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"followers_url": "https://api.github... | 3 | 2018-06-24T21:36:42Z | 2018-10-27T08:17:10Z | 2018-06-25T22:24:31Z | CONTRIBUTOR | null | Currently, ``CategoricalIndex._create_categorical`` is a staticmethod, and is being called internally using *either* instances or classes as its first argument, e.g.:
* in ``_is_dtype_compat`` *an instance* is supplied as the first argument,
* in ``__new__`` *a class* is supplied as the first argument.
This is con... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21620 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21620/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21620/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21620/events | https://github.com/pandas-dev/pandas/issues/21620 | 335,272,873 | MDU6SXNzdWUzMzUyNzI4NzM= | 21,620 | [Feature Request] Add method to pd.Series that collapses redundant items into list-like objects | {
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] | closed | false | null | [] | null | 3 | 2018-06-25T06:18:06Z | 2019-12-28T05:57:12Z | 2019-12-28T05:57:12Z | NONE | null | This may be out of scope but it is a monkey patch that I've made that has been very useful for me that I wanted to share. What this function does is take a bunch of indicies that have the same value and group them together in a similar way to `groupby`.
I have a version where there is an `into` argument that change... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21621/events | https://github.com/pandas-dev/pandas/issues/21621 | 335,394,655 | MDU6SXNzdWUzMzUzOTQ2NTU= | 21,621 | Groupby Pct_change Bug Report | {
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"followers_url": "https://api.github... | 5 | 2018-06-25T12:55:41Z | 2018-12-12T12:41:38Z | 2018-12-12T12:41:38Z | NONE | null | #### Groupby Pct_change Bug Report
```python
from io import StringIO
import pandas as pd
txt = StringIO("""Group;Date;Value
A ;01-02-2016 ;16
A ;01-03-2016 ;15
A ;01-04-2016 ;14
A ;01-05-2016 ;17
A ;01-06-2016 ;19
A ;01-07-2016 ;20
B ;... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21622/events | https://github.com/pandas-dev/pandas/issues/21622 | 335,424,432 | MDU6SXNzdWUzMzU0MjQ0MzI= | 21,622 | Pycharm is confused by 'type' in docstrings | {
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"followers_url": "https://api.github... | 0 | 2018-06-25T14:10:20Z | 2018-06-25T22:22:24Z | 2018-06-25T22:22:24Z | CONTRIBUTOR | null | #### Problem description
In quite some places the return type of functions is specified like this:
```
Returns
-------
swapped : type of caller (new object)
```
Pycharm now thinks the function returns an object of type `type` and warns about legitimate usage.
See #17079 for a related issue.
The problem cou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21623/events | https://github.com/pandas-dev/pandas/pull/21623 | 335,426,013 | MDExOlB1bGxSZXF1ZXN0MTk3MTI3MjM5 | 21,623 | DOC: Do no use 'type' as first word when specifying a return type (#21622) | {
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"followers_url": "https://api.github... | 2 | 2018-06-25T14:14:16Z | 2018-06-25T22:22:32Z | 2018-06-25T22:22:24Z | CONTRIBUTOR | null | Pycharm is otherwise confused and expects objects of type
'type' to be returned.
- [x] closes #21622
- [x] tests added / passed (no code changes)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry (not needed I guess)
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https://api.github.com/repos/pandas-dev/pandas/issues/21624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21624/events | https://github.com/pandas-dev/pandas/issues/21624 | 335,429,527 | MDU6SXNzdWUzMzU0Mjk1Mjc= | 21,624 | groupby w/ only NULL-groups crashes since 0.23 | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2018-06-25T14:22:48Z | 2019-10-18T17:32:52Z | 2019-10-18T17:32:52Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
import pandas.testing as pdt
# works:
df1 = pd.DataFrame({
'g': [None, 'a'],
'x': 1,
})
actual1 = df1.groupby('g')['x'].transform('sum')
expected1 = pd.Series([np.nan, 1.], name='x')
pdt.as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21625/events | https://github.com/pandas-dev/pandas/issues/21625 | 335,456,707 | MDU6SXNzdWUzMzU0NTY3MDc= | 21,625 | to_latex with float_format doesn't work like expected | {
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"followers_url": "https://api.github... | 5 | 2018-06-25T15:27:23Z | 2018-11-26T13:59:22Z | 2018-11-26T13:59:22Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame([[0.19999]])
print(df.to_latex(float_format='%.3f'))
# returns:
# \begin{tabular}{lr}
# \toprule
# {} & 0 \\
# \midrule
# 0 & 0.2 \\
# \bottomrule
# \end{tabular}
```
#### Problem description
The float format doesn't seem to be respec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21626/events | https://github.com/pandas-dev/pandas/issues/21626 | 335,484,936 | MDU6SXNzdWUzMzU0ODQ5MzY= | 21,626 | Cannot run tests on HEAD due to `object.__init__() takes no parameters` on `BaseOffset.__init__(self, n, normalize)` | {
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```shell
$ pytest pandas/tests/io/test_gbq.py
```
<details>
```shell
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/swast/.pyenv/versions/3.6.4/envs/pandas-HEAD/lib/python3.6/site-p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21627/events | https://github.com/pandas-dev/pandas/issues/21627 | 335,494,145 | MDU6SXNzdWUzMzU0OTQxNDU= | 21,627 | Update `to_gbq` and `read_gbq` signatures for Pandas-GBQ version 0.5.0 | {
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"followers_url": "https://api.github... | 0 | 2018-06-25T17:12:33Z | 2018-06-26T22:25:57Z | 2018-06-26T22:25:57Z | CONTRIBUTOR | null | [Pandas-GBQ 0.5.0](https://github.com/pydata/pandas-gbq/releases/tag/0.5.0) adds several new features, including support for the BigQuery Tokyo region via a new `location` parameter (https://github.com/pydata/pandas-gbq/issues/177).
Note: I'm working on a PR for this right now. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21628 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21628/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21628/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21628/events | https://github.com/pandas-dev/pandas/pull/21628 | 335,509,958 | MDExOlB1bGxSZXF1ZXN0MTk3MTkxODgx | 21,628 | Update to_gbq and read_gbq to pandas-gbq 0.5.0 | {
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"followers_url": "https://api.github... | 8 | 2018-06-25T18:03:15Z | 2018-06-26T22:26:05Z | 2018-06-26T22:25:58Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas-gbq/issues/177
Closes #21627
- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I've also verified that the docs build and render well with
```
python doc/make.py --single read_gbq
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https://api.github.com/repos/pandas-dev/pandas/issues/21629 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21629/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21629/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21629/events | https://github.com/pandas-dev/pandas/issues/21629 | 335,581,952 | MDU6SXNzdWUzMzU1ODE5NTI= | 21,629 | 0.23.1 concat drops the name of the merge axis when not aligned | {
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When the columns are aligned, no problem, the columns in the result have the correct name ('ID' here).
```python
pd.concat([
pd.DataFrame([[0, 1]], index=['r0'], columns=pd.Index(['a', 'b'], name='ID')),
pd.DataFrame([[2, 3]], index=['r1'], columns=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21630 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21630/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21630/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21630/events | https://github.com/pandas-dev/pandas/issues/21630 | 335,612,618 | MDU6SXNzdWUzMzU2MTI2MTg= | 21,630 | Unraisable error with TypeError: Cannot change data-type for object array | {
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```python
import pandas as pd
import datetime
df = pd.DataFrame({
'my_date': [None],
'my_datetime': [datetime.datetime.now()]
})
def doit(row):
return len(row.apply(lambda v: str(v)))
def tryit(row):
try:
result = doit(row)
except Exception as err:
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https://api.github.com/repos/pandas-dev/pandas/issues/21631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21631/events | https://github.com/pandas-dev/pandas/pull/21631 | 335,634,671 | MDExOlB1bGxSZXF1ZXN0MTk3Mjg0ODcx | 21,631 | Move tz cleanup whatsnew entries to v0.24 | {
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"followers_url": "https://api.github... | 2 | 2018-06-26T02:28:40Z | 2018-06-26T15:17:55Z | 2018-06-26T07:44:06Z | MEMBER | null | Pre-req for #21612. https://github.com/pandas-dev/pandas/pull/21612#pullrequestreview-131551269
Moving tz cleanup whatsnew entries from 0.23.2 to 0.24.0 added in #21491
cc @jreback
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https://api.github.com/repos/pandas-dev/pandas/issues/21632 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21632/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21632/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21632/events | https://github.com/pandas-dev/pandas/issues/21632 | 335,705,551 | MDU6SXNzdWUzMzU3MDU1NTE= | 21,632 | Import pandas error in Abaqus python environment | {
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] | closed | false | null | [] | null | 5 | 2018-06-26T08:11:19Z | 2019-07-17T00:39:20Z | 2019-07-17T00:39:20Z | NONE | null | I was trying to import pandas library in Abaqus(Finite element software) python environment but it shows the following error.
`import pandas`
`File "C:\ProgramData\Anaconda3\Lib\site-packages\pandas\__init__.py", line 23, in <module>
from pandas.compat.numpy import *`
`File "C:\ProgramData\Anaconda3\Lib\site... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21633/events | https://github.com/pandas-dev/pandas/issues/21633 | 335,705,823 | MDU6SXNzdWUzMzU3MDU4MjM= | 21,633 | Day(normalize=True) gives ValueError: Tick offset with `normalize=True` are not allowed. | {
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"followers_url": "https://api.github... | 3 | 2018-06-26T08:12:07Z | 2018-06-26T09:29:09Z | 2018-06-26T09:20:04Z | MEMBER | null | This is breaking on master (from doc build):
```
In [12]: from pandas.tseries.offsets import Day
In [13]: Day(normalize=True)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-13-6b717dce6fa8> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21634/events | https://github.com/pandas-dev/pandas/pull/21634 | 335,714,740 | MDExOlB1bGxSZXF1ZXN0MTk3MzQzNjQ2 | 21,634 | DOC: fixup old whatsnew for dtype coercing change (#21456) | {
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cc @gfyoung | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21635/events | https://github.com/pandas-dev/pandas/pull/21635 | 335,727,747 | MDExOlB1bGxSZXF1ZXN0MTk3MzUzNDg2 | 21,635 | DOC: fix typo in cookbook.rst | {
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"followers_url": "https://api.github... | 1 | 2018-06-26T09:13:46Z | 2018-06-26T20:26:46Z | 2018-06-26T20:26:40Z | CONTRIBUTOR | null | Removing the semicolon delimiter at the end of the modified line of code allows the line's output to be displayed.
- [ ] 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/21636 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21636/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21636/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21636/events | https://github.com/pandas-dev/pandas/issues/21636 | 335,783,798 | MDU6SXNzdWUzMzU3ODM3OTg= | 21,636 | TST: flaky test on 3.7 | {
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running this multiple times will cause it to fail:
``pytest pandas//tests/groupby/test_categorical.py --pdb -v -k apply -s``
not sure where the error is yet. xfailing for now. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21637/events | https://github.com/pandas-dev/pandas/pull/21637 | 335,784,742 | MDExOlB1bGxSZXF1ZXN0MTk3Mzk2ODM1 | 21,637 | TST: xfail flaky 3.7 test, xref #21636 | {
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xref #21636 | {
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Pandas 0.23.1
PyTables 3.4.4
```python
import pandas as pd
from pandas.api.types import CategoricalDtype
import numpy as np
h = pd.HDFStore('test.hd5', mode='w')
# In my environment, 800 works just fine and 801 results in the warning
df = pd.DataFra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21639/events | https://github.com/pandas-dev/pandas/issues/21639 | 335,809,612 | MDU6SXNzdWUzMzU4MDk2MTI= | 21,639 | DEPS/DEPR: Allow import of feather through pyarrow | {
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"followers_url": "https://api.github... | 1 | 2018-06-26T13:04:49Z | 2018-11-01T12:03:49Z | 2018-11-01T12:03:49Z | CONTRIBUTOR | null | Currently, `DataFrame.to_feather()` tries to `import feather`, which only works if `feather-format` is installed. The same capabilities could also be imported as follows: `import pyarrow.feather as feather`.
The issue is that `pyarrow` is more easily available (e.g. `conda install feather-format` doesn't work withou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21640/events | https://github.com/pandas-dev/pandas/issues/21640 | 335,814,253 | MDU6SXNzdWUzMzU4MTQyNTM= | 21,640 | API: Unify compression-kwarg for IO-methods | {
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"... | closed | false | null | [] | null | 3 | 2018-06-26T13:16:08Z | 2020-05-02T04:25:51Z | 2020-05-02T04:25:50Z | CONTRIBUTOR | null | Currently, there's:
* `'compression'` in `to_csv`, `to_json`, `to_parquet`, `to_pickle`
* `'complib'` in `to_hdf` (also `'complevel'`)
* `'compress'` in `to_msgpack`
Those are all the writer-methods from https://pandas.pydata.org/pandas-docs/version/0.23.1/io.html which have compression.
Seems to me that the k... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21641 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21641/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21641/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21641/events | https://github.com/pandas-dev/pandas/issues/21641 | 335,860,866 | MDU6SXNzdWUzMzU4NjA4NjY= | 21,641 | `header` argument in `read_html()` ignores empty trs, only within thead | {
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"followers_url": "https://api.github... | 1 | 2018-06-26T14:57:28Z | 2018-07-05T17:48:25Z | 2018-07-05T17:48:25Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
With a table that has no `<thead>`, `read_html()`'s `header` argument looks at the correct row:
```
>>> pandas.read_html('''<table><tbody><tr><th></th><th></th></tr><tr><th>A</th><th>B</th></tr><tr><td>a</td><td>b</td></tr></tbody></table>''', header=0)
[ U... | {
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... | 6 | 2018-06-26T17:50:11Z | 2021-06-17T06:57:06Z | null | CONTRIBUTOR | null | When displaying a DataFrame in IPython, multiple spaces (as well as leading/trailing spaces) get removed.
However, sometimes it is necessary though to show the data exactly _as is_. Cleaning up the strings like that is not a terrible default, but the user should have the option to display their data without mutation... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21643 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21643/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21643/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21643/events | https://github.com/pandas-dev/pandas/issues/21643 | 335,945,326 | MDU6SXNzdWUzMzU5NDUzMjY= | 21,643 | Not able to save (to_csv) large file | {
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```python
"""Pandas bug."""
from numpy.random import choice, seed
from pandas import DataFrame
from pandas.util.testing import rands_array
seed(1234)
N = 5 * 10 ** 6
DTF = DataFrame({'Col{}'.format(k): choice(rands_array(10, 750), N) for k in range(65)... | {
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- [x] whatsnew entry
Small clairification that ``pd.Categorical.__contains__`` has gotten faster. | {
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I followed the recommendation of @jreback there to change `duplicated`, and to make the output a tuple if `return_inverse=True`.
I didn't find a test for the behavior of `DataFrame.duplicated()` -- there's a test of `Index.duplicated()` and `Series.duplicated()` in `tests/test_base.py`, but nothing... | {
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```python
@pytest.fixture
def datapath(request):
"""Get the path to a data file.
Parameters
----------
path : str
Path to the file, relative to ``pandas/tests/``
Returns
-------
... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
>>> categories = ['very good', 'good', 'neutral', 'bad', 'very bad']
>>> cat = pd.Categorical(['good','good', 'bad', 'bad'], categories=categories, ordered=True)
>>> cat
[good, good, bad, bad]
Categories (5, obje... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21649 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21649/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21649/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21649/events | https://github.com/pandas-dev/pandas/pull/21649 | 336,033,924 | MDExOlB1bGxSZXF1ZXN0MTk3NTg0NjY5 | 21,649 | DOC: Fix versionadded directive typos in IntervalIndex | {
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Couldn't find any other instances of this in the codebase for `versio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21650/events | https://github.com/pandas-dev/pandas/pull/21650 | 336,104,095 | MDExOlB1bGxSZXF1ZXN0MTk3NjM2NDcy | 21,650 | ENH: Allow keep='all' for nlargest/nsmallest | {
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Closes #16818.
Closes #18656.
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https://api.github.com/repos/pandas-dev/pandas/issues/21651 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21651/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21651/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21651/events | https://github.com/pandas-dev/pandas/issues/21651 | 336,132,922 | MDU6SXNzdWUzMzYxMzI5MjI= | 21,651 | BUG: Pandas groupby datetime and column then apply generates ValueError | {
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```
| SYM_ROOT | TIME_M | BEST_BID | BEST_ASK | increment | genjud_incre |
|----------|----------------------------|----------|----------|-----------|--------------|
| A | 2017-01-03 09:30:00.004712 | 45.91 | 46.12 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21652 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21652/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21652/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21652/events | https://github.com/pandas-dev/pandas/pull/21652 | 336,162,716 | MDExOlB1bGxSZXF1ZXN0MTk3NjgwOTc5 | 21,652 | DOC: update DataFrame.dropna's axis argument docs | {
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"followers_url": "https://api.github... | 2 | 2018-06-27T10:07:34Z | 2018-06-27T12:00:04Z | 2018-06-27T12:00:00Z | CONTRIBUTOR | null | Make `DataFrame.dropna`'s axis argument type deprecated warning in documentation easier to understand. | {
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... | 4 | 2018-06-27T10:30:33Z | 2021-06-20T05:02:43Z | 2021-06-20T05:02:42Z | CONTRIBUTOR | null | The string detection routines are a bit odd, they work with arrays & not list-likes. We should change the impl to ``infer_dtype`` which already does the correct things.
```
[5]: from pandas.core.dtypes.common import is_string_like_dtype, is_string_dtype
In [2]: is_string_like_dtype(np.array([b'foo'])) ... | {
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"followers_url": "https://api.github... | 1 | 2018-06-27T10:35:04Z | 2018-07-27T11:33:16Z | 2018-07-27T11:33:15Z | CONTRIBUTOR | null | we have these 2 pickles
```
(pandas) bash-3.2$ ls pandas/tests/indexes/data/
mindex_073.pickle multiindex_v1.pickle
```
should blow these away and the older MultiIndex formats. These are really really old.
note will conflict slightly with #21514 (IOW path will be different after) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21655 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21655/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21655/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21655/events | https://github.com/pandas-dev/pandas/pull/21655 | 336,235,043 | MDExOlB1bGxSZXF1ZXN0MTk3NzM2OTY4 | 21,655 | BUG: Fix MI repr with long names | {
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```python
In [4]: try:
...: from unittest import mock
...: except ImportError:
...: mock = pytest.importorskip("mock")
...:
...: terminal_size = os.terminal_size((118, 96))
...: p1 = mock.patch('pandas.io.formats.console.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21656 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21656/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21656/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21656/events | https://github.com/pandas-dev/pandas/issues/21656 | 336,270,776 | MDU6SXNzdWUzMzYyNzA3NzY= | 21,656 | Applied to MultiIndex, to_frame() gives result with missing time component | {
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```python
rng = pd.date_range(start='1/1/2017', end='1/2/2017', freq='H')
numidx = list(range(5))
multi_idx = pd.MultiIndex.from_product([rng, numidx])
multi_idx.to_frame()
```
The `multi_idx.to_frame()` returns a correct output (partial output reproduced b... | {
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This fixes the bug, but is not really a general solution. However, I would like to keep that for another PR (won't have time for this before 0.23.2), also because the underlying reason is more widely present than in just the MultiIndex.values (will open a separate issue about this -> https://github.com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21658 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21658/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21658/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21658/events | https://github.com/pandas-dev/pandas/issues/21658 | 336,289,068 | MDU6SXNzdWUzMzYyODkwNjg= | 21,658 | BUG: .values for objects containing categoricals with box-able categories | {
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"de... | open | false | null | [] | null | 1 | 2018-06-27T15:53:37Z | 2021-06-20T05:04:20Z | null | MEMBER | null | A bit a cryptic title, but following from my investigation of https://github.com/pandas-dev/pandas/issues/21390#issuecomment-400679429.
When having a categorical values with "box-able" categories, eg:
```
In [1]: cat = pd.Categorical(pd.date_range("2012-01-01", periods=3, freq='H'))
In [3]: cat.tolist()
Out[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21659 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21659/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21659/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21659/events | https://github.com/pandas-dev/pandas/pull/21659 | 336,369,927 | MDExOlB1bGxSZXF1ZXN0MTk3ODM5NjA4 | 21,659 | PERF: avoid unneeded recoding of categoricals and reuse CategoricalDtypes for greater slicing speed | {
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"followers_url": "https://api.github... | 4 | 2018-06-27T20:09:49Z | 2018-07-24T23:50:41Z | 2018-06-29T00:36:06Z | CONTRIBUTOR | null | - [x] progress towards #20395
- [x] ASVs added
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Currently, a lot of indexing/slicing ops on CategoricalIndexes goes through ``CategoricalIndex._create_categorical``, which can be a slow operation, because calling ``data._set_dtype`` there is slow... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21660 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21660/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21660/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21660/events | https://github.com/pandas-dev/pandas/pull/21660 | 336,373,228 | MDExOlB1bGxSZXF1ZXN0MTk3ODQyMjQy | 21,660 | BUG: Issues with DatetimeTZ values in where and combine_first (#21469 + #21546) | {
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"followers_url": "https://api.github... | 3 | 2018-06-27T20:20:46Z | 2018-07-02T23:54:36Z | 2018-07-02T23:54:23Z | CONTRIBUTOR | null | - [ ] closes #21469
- [ ] closes #21546
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
CC: @jreback. Replacement for PR #21544; fixes for #21469 (`Series.combine_first` fails on tz values input) and #21546 (`where` fails on tz values input). S... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21661 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21661/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21661/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21661/events | https://github.com/pandas-dev/pandas/pull/21661 | 336,417,631 | MDExOlB1bGxSZXF1ZXN0MTk3ODc2NTcx | 21,661 | TST: Use fixtures in dtypes/test_cast.py | {
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"followers_url": "https://api.github... | 2 | 2018-06-27T23:05:23Z | 2018-06-28T16:58:53Z | 2018-06-28T10:11:49Z | MEMBER | null | Title is self-explanatory.
Partially addresses #21500. | {
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First example: trying to impute data with non-numeric index column crashes:
```python
data = {'A': ["a", "b", "c", "d"], 'B': [0, 1, np.nan, 100]}
df = p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21663 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21663/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21663/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21663/events | https://github.com/pandas-dev/pandas/pull/21663 | 336,578,164 | MDExOlB1bGxSZXF1ZXN0MTk3OTk2MjE1 | 21,663 | DOC: Fixup docstring [ci skip] | {
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```python
import pandas as pd
from decimal import Decimal
df = pd.DataFrame({'id': [1], 'x': [1], 'y': [Decimal(1)]})
df.groupby('id')[['x', 'y']].sum()
# x
# id
# 1 1
```
#### Problem description
I unknowingly encountered the feature descr... | {
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```
>>> date = pd.Timestamp('2018-05-31')
>>> date
Timestamp('2018-05-31 00:00:00')
>>> mo.universe.datadate.loc[5724]
Timestamp('2018-05-31 00:00:00')
>>> type(mo.universe.datadate.loc[5724])
<class 'pandas._libs.tslibs.timestamps.Timestamp'>
>>> type(date... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21666 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21666/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21666/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21666/events | https://github.com/pandas-dev/pandas/issues/21666 | 336,775,372 | MDU6SXNzdWUzMzY3NzUzNzI= | 21,666 | Feature suggestion: use ciso8601 in pd.to_datetime for great speed | {
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"default"... | closed | false | null | [] | null | 4 | 2018-06-28T20:50:55Z | 2018-06-28T22:47:03Z | 2018-06-28T22:47:03Z | NONE | null | **tl;dr** [ciso8601](https://github.com/closeio/ciso8601) is a module that's over 450x faster than pandas.to_datetime for data in ISO8601 format
#### Problem description
pd.to_datetime is robust to various formats and works nice.
I was trying to convert a series of 3.5 million timestamps into python objects, a... | {
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... | 4 | 2018-06-28T21:11:57Z | 2019-10-02T03:15:40Z | 2019-10-02T03:15:40Z | CONTRIBUTOR | null | ``searchsorted`` requires that the searched object is (monotonically) sorted to produce correct results. Orderedness is neither a necessary or sufficient condition to make searchsorted work correctly.
``Categorical.searchsorted`` has a hard check for if the Categorical is ordered:
https://github.com/pandas-dev/pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21668 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21668/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21668/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21668/events | https://github.com/pandas-dev/pandas/issues/21668 | 336,814,366 | MDU6SXNzdWUzMzY4MTQzNjY= | 21,668 | GroupBy any/all Fails with Duplicate Column Names | {
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... | closed | false | null | [] | null | 3 | 2018-06-28T23:33:24Z | 2019-11-20T13:00:46Z | 2019-11-20T13:00:46Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
>>> df = pd.DataFrame([[True, True, True]], columns=['key', 'a', 'a'])
>>> df.groupby('key').any()
ValueError: Buffer has wrong number of dimensions (expected 1, got 2)
```
#### Problem description
This throws because of the below line:
htt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21669 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21669/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21669/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21669/events | https://github.com/pandas-dev/pandas/pull/21669 | 336,849,137 | MDExOlB1bGxSZXF1ZXN0MTk4MjA1MDI1 | 21,669 | ENH: pivot/groupby index with nan (GH3729) | {
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... | closed | false | null | [] | null | 6 | 2018-06-29T03:17:56Z | 2018-11-23T03:33:07Z | 2018-11-23T03:33:07Z | NONE | null | Adds the ability to use NaN as a grouping variable. Required allowing NA as a factorisation variable in `factorize()`.
- [x] closes #3729
- [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/21670 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21670/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21670/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21670/events | https://github.com/pandas-dev/pandas/issues/21670 | 336,862,739 | MDU6SXNzdWUzMzY4NjI3Mzk= | 21,670 | ENH: Add set_closed method to IntervalIndex | {
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"followers_url": "https://api.github... | 0 | 2018-06-29T04:53:48Z | 2018-07-03T20:14:59Z | 2018-07-03T20:14:59Z | MEMBER | null | xref https://github.com/pandas-dev/pandas/pull/21584#discussion_r198317876
This method would allow for changing the `closed` value of an existing `IntervalIndex`.
Example usage:
```python
In [2]: index = pd.interval_range(0, 3, closed='both')
In [3]: index
Out[3]:
IntervalIndex([[0, 1], [1, 2], [2, 3]]
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https://api.github.com/repos/pandas-dev/pandas/issues/21671 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21671/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21671/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21671/events | https://github.com/pandas-dev/pandas/issues/21671 | 336,866,825 | MDU6SXNzdWUzMzY4NjY4MjU= | 21,671 | DatetimeIndex.union with tz-aware and tz-naive raises TypeError | {
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```
In [28]: s = pd.Series([pd.Timestamp('2011-01-01'), pd.NaT])
In [29]: stz = pd.Series(pd.DatetimeIndex(['2012-01-01', '2012-01-02'], tz='Asia/Tokyo'))
In [30]: pd.Index(s).union(pd.Index(stz))
TypeError: Cannot join tz-naive with tz-aware DatetimeIndex
In [32]: pd.__version__
Out[32]: '0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21672 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21672/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21672/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21672/events | https://github.com/pandas-dev/pandas/issues/21672 | 336,870,399 | MDU6SXNzdWUzMzY4NzAzOTk= | 21,672 | `DataFrame.add` and `DataFrame.radd` are the same function | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-06-29T05:45:30Z | 2018-07-01T05:49:32Z | 2018-07-01T05:49:16Z | NONE | null | In 0.22 (and 0.23), there are two copies of the same function `DataFrame.add` and `DataFrame.radd`. The link in the documentation also points to the same function in the source code. Here are the documentation links for the two functions:
[`DataFrame.add`](https://pandas.pydata.org/pandas-docs/stable/generated/panda... | {
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It is nowhere near readiness, and in particular:
- supports only cell background color as of now - adding some attributes should be trivial, adding others might be less so
- most importantly,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21674 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21674/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21674/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21674/events | https://github.com/pandas-dev/pandas/pull/21674 | 336,875,869 | MDExOlB1bGxSZXF1ZXN0MTk4MjI0MTU1 | 21,674 | TST/CLN: Old timezone issues PT3 | {
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"followers_url": "https://api.github... | 2 | 2018-06-29T06:14:20Z | 2018-07-03T02:36:36Z | 2018-07-02T23:44:12Z | MEMBER | null | - [x] closes #13783
- [x] closes #12619
- [x] closes #15522
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
xref #21612 and #21491, last of the cleanup of older timezone issues
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https://api.github.com/repos/pandas-dev/pandas/issues/21675 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21675/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21675/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21675/events | https://github.com/pandas-dev/pandas/issues/21675 | 336,889,932 | MDU6SXNzdWUzMzY4ODk5MzI= | 21,675 | BUG: unstack() does not always sort index in 0.23 | {
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"d... | closed | false | null | [] | null | 10 | 2018-06-29T07:18:15Z | 2020-06-23T20:13:52Z | 2020-06-23T20:13:52Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
index = pd.MultiIndex(levels=[['A','B','C','D','E']] * 2, labels=[[4,4,4,3], [4,2,0,1]])
pd.Series(0, index).unstack()
```
#### Problem description
In Pandas 0.20, 0.21, and 0.22, this gave the expected result:
```
A B C E
D NaN 0.0 NaN NaN
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https://api.github.com/repos/pandas-dev/pandas/issues/21676 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21676/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21676/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21676/events | https://github.com/pandas-dev/pandas/issues/21676 | 336,943,311 | MDU6SXNzdWUzMzY5NDMzMTE= | 21,676 | Different behaviour for '==' and 'equals' on DatetimeIndex | {
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```python
>>> import pandas as pd
>>> import pytz
>>> x = pd.DataFrame(data=[10,20,30], index=pd.date_range(start='2018-06-01T00:00:00Z', periods=3, freq='1h', tz=pytz.UTC))
>>> y = pd.DataFrame(data=[10,20,30], index=pd.date_range(start='2018-06-01T02:00:00', periods=3, freq='1h', tz=pytz.timez... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21677 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21677/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21677/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21677/events | https://github.com/pandas-dev/pandas/issues/21677 | 336,973,426 | MDU6SXNzdWUzMzY5NzM0MjY= | 21,677 | API: unclear what integer level name references: name or position? | {
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"description": nu... | open | false | null | [] | null | 8 | 2018-06-29T12:03:51Z | 2021-06-20T05:04:56Z | null | MEMBER | null | I assumed that in eg `get_level_values`, `stack`, `unstack`, ... (which all boil down to the behaviour of `_get_level_number`) using an integer to specify the level, would always mean positional because we have no way to disambiguate between position or name in those cases.
But, this seems very inconsistent:
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But, this currently has a lot of failures, because of https://github.com/pandas-dev/pandas/issues/21677 that we first need to resolve. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21679 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21679/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21679/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21679/events | https://github.com/pandas-dev/pandas/issues/21679 | 336,974,928 | MDU6SXNzdWUzMzY5NzQ5Mjg= | 21,679 | Pandas dataframe column headers shows different behaviour on linux and windows platform | {
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```python
import pandas as pd
d = {'poppys_play_house_bedroom': ['hello', 'bye'], 'assorted_colour_bird_ornament': ['good morning', 'good night']}
df = pd.DataFrame(data=d)
df
```
####
pandas dataframe shows a different behaviour when the same code is compiled on linux and windows.
what I observed is that whe... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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What this does: allow `merge` on an object and a non-object column (eg object and int, object and categorical, ..), by coercing the non-object column to object dtype.
Reasoning:
- object dtype can be anything, so IMO pandas... | {
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```python
import pandas
import numpy
import itertools
# generate some test data
dates = pandas.date_range('20180101', periods=3)
stocks = ['AAPL', 'GOOG', 'MSFT', 'AMZN', 'FB']
spread = pandas.Series(numpy.random.rand(3), index=dates)
# create panel and set the spread between two stocks... | {
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] | open | false | null | [] | null | 3 | 2018-06-29T17:01:17Z | 2020-02-18T20:41:08Z | null | CONTRIBUTOR | null | I was surprised to find that `DataFrame.set_index` has no analogue for `Series`. This is especially surprising because I remember reading in several comments here that it is strongly preferred (i.a. by @jreback) that users do not set attributes like `.name` or `.index` directly -- but currently, the only options to cha... | {
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... | 13 | 2018-06-29T17:23:28Z | 2021-02-05T04:08:13Z | null | CONTRIBUTOR | null | Currently, `DataFrame.reindex` has three overlapping keywords:
* `labels`
* `index`
* `columns`
I (naively) expected it to work to pass different values to `labels`/`index` (motivating example below), but this does not work. I'm going to make a proposal of how this could be incorporated, but independently from th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21686/events | https://github.com/pandas-dev/pandas/pull/21686 | 337,077,182 | MDExOlB1bGxSZXF1ZXN0MTk4Mzc3ODI5 | 21,686 | API: remove ordered requirement in Categorical.searchsorted | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
``searchsorted`` is mainly a tool to find value locations in a sorted array. As such it doesn't make sense to restrict it to not work with unordered categoricals. For example, d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21687 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21687/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21687/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21687/events | https://github.com/pandas-dev/pandas/issues/21687 | 337,171,574 | MDU6SXNzdWUzMzcxNzE1NzQ= | 21,687 | "on" argument of DataFrame.rolling only works for datetime columns | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-06-30T00:37:13Z | 2019-07-08T12:47:08Z | 2019-07-08T12:47:08Z | NONE | null | the `on=` argument of `DataFrame.rolling` only works for datetime columns.
```
df = pd.DataFrame([
[18, 0],
[2, 0],
[1, 0],
[9, 1],
[8, 1],
], columns=['value', 'roll'])
```
```
df.roll = pd.to_datetime(df.roll, unit='s')
df.rolling('1s', on='roll').value.max()
```
returns:
``... | {
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"followers_url": "https://api.github... | 12 | 2018-06-30T07:32:55Z | 2018-07-08T18:21:55Z | 2018-07-07T19:52:39Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/pull/10070
xref https://github.com/pandas-dev/pandas/issues/12813
building an ExtensionArray for nullable ints using a `pyarrow.Array`, the underlying memoryview is marked as constant. The HashTable Cython code uses the memoryview in the `lookup` function but in a read-onl... | {
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"description": "np.nan, ... | open | false | null | [] | null | 6 | 2018-06-30T13:52:22Z | 2019-08-27T22:39:13Z | null | NONE | null | #### Code Sample
```python
d = {'col1': [1, np.nan], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
df.describe()
```
#### Problem description
* Output
The describe method generally only include 9 summ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21690 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21690/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21690/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21690/events | https://github.com/pandas-dev/pandas/pull/21690 | 337,253,175 | MDExOlB1bGxSZXF1ZXN0MTk4NTAwODA1 | 21,690 | Misc cleanups, test parametrization | {
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"followers_url": "https://api.github... | 3 | 2018-07-01T00:35:05Z | 2018-07-02T23:37:45Z | 2018-07-02T11:12:29Z | MEMBER | null | No coherent theme: remove an unused variable in inference.pyx, make some imports more direct, parametrize a big test, and move a tslib-specific test to test_tslibs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21691 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21691/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21691/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21691/events | https://github.com/pandas-dev/pandas/pull/21691 | 337,253,585 | MDExOlB1bGxSZXF1ZXN0MTk4NTAxMDYx | 21,691 | move and de-privatize _localize_pydatetime, move shift_day to liboffsets | {
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"followers_url": "https://api.github... | 2 | 2018-07-01T00:47:02Z | 2018-07-02T23:36:35Z | 2018-07-02T23:33:44Z | MEMBER | null | The only non-test place where tslib._localize_pydatetime is used is in tseries.offsets. This moves that func to liboffsets, de-privatizes it, and moves tseris.offsets.shift_day up to liboffsets.
To avoid import proliferation this keeps localize_pydatetime in the tslib namespace so the tests can get at it.
Adds s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21692 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21692/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21692/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21692/events | https://github.com/pandas-dev/pandas/pull/21692 | 337,254,898 | MDExOlB1bGxSZXF1ZXN0MTk4NTAxODg5 | 21,692 | move is_null_datetimelike to nattype for self-containment | {
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"followers_url": "https://api.github... | 3 | 2018-07-01T01:19:04Z | 2018-07-02T23:37:28Z | 2018-07-02T23:31:46Z | MEMBER | null | ATM `is_null_datetimelike` is used _only_ in `tslibs.period`. The dependency structure is simplified nicely if we put that function is `tslibs.nattype` instead of in `_libs.missing`.
This also takes a couple of missing-themed functions out of inference.pyx
Finally, moves the libperiod block in setup.py to down w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21693 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21693/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21693/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21693/events | https://github.com/pandas-dev/pandas/pull/21693 | 337,255,174 | MDExOlB1bGxSZXF1ZXN0MTk4NTAyMDcw | 21,693 | use liboffsets to_offset function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21694 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21694/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21694/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21694/events | https://github.com/pandas-dev/pandas/pull/21694 | 337,258,532 | MDExOlB1bGxSZXF1ZXN0MTk4NTA0MjIx | 21,694 | move _add__ and __sub__ to liboffsets, implement _Tick | {
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"followers_url": "https://api.github... | 4 | 2018-07-01T02:47:44Z | 2018-07-03T14:46:54Z | 2018-07-03T14:24:16Z | MEMBER | null | Last one for now.
Moving `__add__` and `__sub__` to liboffsets has been viable for a while now, just getting around to it.
Implements a dummy `_Tick` class that gets mixed in to `Tick`. Then in `tslibs.period` we can replace `isinstance(obj, offsets.Tick)` checks with `isinstnace(obj, _Tick)`, obviating the need... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21695 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21695/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21695/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21695/events | https://github.com/pandas-dev/pandas/issues/21695 | 337,270,704 | MDU6SXNzdWUzMzcyNzA3MDQ= | 21,695 | pd.read_csv returns incorrect number of rows | {
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"gi... | [] | closed | false | null | [] | null | 1 | 2018-07-01T07:28:46Z | 2018-07-01T09:10:50Z | 2018-07-01T09:10:49Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.read_csv("test.csv", sep="\t", index_col=None)
print(df.shape) # (6851728, 8)
```
#### Problem description
"test.csv" file contains **10,321,311** rows.
Loading it via `read_csv` gives **6,851,728** rows.
#### ... | {
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"followers_url": "https://api.github... | 5 | 2018-07-01T10:35:01Z | 2018-07-03T09:57:19Z | 2018-07-02T23:28:27Z | CONTRIBUTOR | null | - [ ] closes
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
closes #21577
The added unit test will pass for `0.23.0`, fails for `0.23.1`, passes for `master`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21697 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21697/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21697/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21697/events | https://github.com/pandas-dev/pandas/issues/21697 | 337,307,405 | MDU6SXNzdWUzMzczMDc0MDU= | 21,697 | BUG: to_datetime with Index arg does not retain name in all cases | {
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... | closed | false | null | [] | null | 2 | 2018-07-01T17:28:56Z | 2018-10-01T21:22:21Z | 2018-10-01T21:22:21Z | MEMBER | null | ```
#Example
In [17]: idx = pd.Index([15e9], name='name')
In [18]: pd.to_datetime(idx, errors='ignore', box=True, unit='s').name
In [19]: pd.__version__
Out[19]: '0.24.0.dev0+193.gdc45fba'
```
There are certain cases where the name attribute of the passed `Index` are not retained after `to_datetime`.
Th... | {
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] | closed | false | null | [] | null | 2 | 2018-07-01T17:36:15Z | 2019-06-13T04:15:28Z | 2019-06-13T04:15:28Z | MEMBER | null | It would be easier to reason about the code if we did a better job of respecting cross-module private-ness. e.g. `com._default_index`, `com._maybe_box_datetimelike`, `com._values_from_object` get used a lot, should either not be used or (more likely) should be de-privatized. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21699/events | https://github.com/pandas-dev/pandas/pull/21699 | 337,316,055 | MDExOlB1bGxSZXF1ZXN0MTk4NTM5MDc3 | 21,699 | PERF: CategoricalIndex.get_loc should avoid expensive cast of .codes to int64 | {
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"default"... | closed | false | null | [] | null | 38 | 2018-07-01T19:35:53Z | 2019-02-02T18:45:55Z | 2018-10-19T02:23:17Z | CONTRIBUTOR | null | - [x] closes #20395
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is the the final puzzle for #20395.
The problem with the current implementation is that ``CategoricalIndex._engine`` constantly recodes int8 arrays to int64 arrays:
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https://api.github.com/repos/pandas-dev/pandas/issues/21700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21700/events | https://github.com/pandas-dev/pandas/pull/21700 | 337,325,154 | MDExOlB1bGxSZXF1ZXN0MTk4NTQ0Mzc3 | 21,700 | implement tslibs.arraylike | {
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... | closed | false | null | [] | null | 4 | 2018-07-01T21:48:44Z | 2018-07-11T20:23:05Z | 2018-07-05T02:36:08Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
import pandas
import numpy
dates = pandas.date_range('20180101', periods=10)
rows = ['foo', 'bar', 'baz']
cols = ['one', 'two', 'three', 'four']
data = numpy.random.randn(30,4)
index = pandas.MultiIndex.from_product([dates, rows])
df = pandas.DataFrame(index=index, columns=... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The internals of `to_datetime` is getting a bit unwieldy, so split out the `_convert_listlike` logic and origin shifting logic to ` _convert_listlike_datetime` and `adjust_to_origin` methods respectively outside of `to_datetime`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21703/events | https://github.com/pandas-dev/pandas/pull/21703 | 337,395,166 | MDExOlB1bGxSZXF1ZXN0MTk4NTkwNDI2 | 21,703 | BUG : Adding *kwargs for name retention in Index args | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21704/events | https://github.com/pandas-dev/pandas/issues/21704 | 337,494,253 | MDU6SXNzdWUzMzc0OTQyNTM= | 21,704 | BUG: Offset-based rolling window, with closed='left' and max as aggregation function, make python crash | {
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"followers_url": "https://api.github... | 5 | 2018-07-02T12:17:59Z | 2018-09-04T23:49:30Z | 2018-07-20T15:58:35Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
from pandas.tseries.frequencies import to_offset
df = pd.Series(data=np.arange(10),
index=pd.date_range('2000', periods=10))
df.rolling(to_offset('3D'), closed='left').max()
```
#### Pro... | {
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```python
In [2]: df = pd.DataFrame(-1, index=range(3), columns=list('abcd'))
In [3]: df.loc[:, list('abe')]
/home/nobackup/repo/pandas/pandas/core/indexing.py:1504: FutureWarning:
Passing list-likes to .loc or [] with any missing label will raise
KeyErro... | {
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```python
import pandas
import numpy
import datetime
index = pandas.date_range(start=datetime.date(2011,1,1), end=datetime.date(2018,1,1))
cols = list('ABCDEFG')
# create panel
pnl = pandas.Panel(items=index,
major_axis=cols,
minor_axis=col... | {
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"followers_url": "https://api.github... | 4 | 2018-07-02T15:51:38Z | 2018-07-02T23:23:06Z | 2018-07-02T23:23:02Z | MEMBER | null | I did not backport the performance improvements in my backporting PRs for now, so this moves that section to 0.24.0.txt.
(my rationale: let's be conservative for bug fix releases, performance improvements (if they are not fixing severe performance regressions) are not strictly needed in a bug fix release).
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- [X] tests added / passed
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