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https://api.github.com/repos/pandas-dev/pandas/issues/22712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22712/events | https://github.com/pandas-dev/pandas/issues/22712 | 360,423,260 | MDU6SXNzdWUzNjA0MjMyNjA= | 22,712 | Unhandled warning from NumPy dev in median | {
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"color": "d93f0... | closed | false | null | [] | null | 2 | 2018-09-14T19:16:46Z | 2020-07-20T19:31:16Z | 2020-04-05T02:52:11Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: x = np.random.randn(30, 4)
In [4]: x[5:10] = np.nan
In [5]: pd.DataFrame(x).median(1).head()
/Users/taugspurger/miniconda3/envs/travis-37-numpydev/lib/python3.7/site-packages/numpy/lib/function_base.py:3267: RuntimeWarning: All-NaN s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22713/events | https://github.com/pandas-dev/pandas/issues/22713 | 360,435,568 | MDU6SXNzdWUzNjA0MzU1Njg= | 22,713 | BUG: astype("category") creates unreachable objects and memory leak | {
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```python
>>> import gc
>>> import pandas as pd
>>> import numpy as np
>>> from time import sleep
>>> x = pd.Series(np.arange(10**6) % 10**3).astype(str)
>>> for _ in range(10): ... | {
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"d... | closed | false | null | [] | null | 5 | 2018-09-14T19:59:22Z | 2019-10-15T14:17:45Z | 2019-10-15T14:17:45Z | NONE | null | Segfaults:
- [ ] indexing/test_indexing.py::TestFancy::test_setitem_list (see #22718)
- [ ] `ujson.encode(np.array(1))` (see #22718)
- [ ] Issue detailed as follows:
#### Code Sample, a copy-pastable example if possible
```python
from pandas import DataFrame
import pandas as pd
df = DataFrame({'A': [1, ... | {
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```python
>>> s = pd.Series(['x'])
>>> s['td'] = pd.Timedelta('9 days')
>>> s
0 x
td 777600000000000
dtype: object
# However, *if the key already exists*, it works as expected:
>>> s['td_2'] = 0
>>> s['td_2'] = pd.Timedelta('9 days... | {
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```python
import pandas as pd
s = pd.Series(range(10))
s.rolling(0).min()
```
#### Problem description
Python crashes instead of raising an Exception
#### Expected Output
raising an Exception
#### Output of ``pd.show_versions()``
<details>
IN... | {
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#### Problem description
I tried to search to see if this issue was raised before, but could not find anything.
I notice that read_sas can convert SAS numbers formatted as DATE values (number of days since 1960) or DATETIME values (number of seconds since 1960)... | {
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"followers_url": "https://api.github... | 5 | 2018-09-15T16:10:13Z | 2018-10-05T21:42:46Z | 2018-10-05T21:42:46Z | CONTRIBUTOR | null | In Python 2, the following works:
```
s = pd.Series(np.array(list('abc'), 'S1').astype(object))
t = pd.Series(np.array(list('def'), 'S1').astype(object))
s.str.cat(t)
# 0 b'ad'
# 1 b'be'
# 2 b'cf'
# dtype: object
```
whereas in Python 3, `s.str.cat(t)` yields:
```
TypeError: sequence item 0: expe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22722/events | https://github.com/pandas-dev/pandas/issues/22722 | 360,553,628 | MDU6SXNzdWUzNjA1NTM2Mjg= | 22,722 | Improve TypeError message for str.cat | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-09-15T16:16:45Z | 2019-06-14T12:27:01Z | 2019-06-14T12:27:01Z | CONTRIBUTOR | null | Currently,
```
s = pd.Series(['a', 'b', 'c'])
s.str.cat([1, 2, 3])
```
yields
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\Axel Obermeier\eclipse-workspace\pddev\pandas\core\strings.py", line 2222, in cat
res = str_cat(data, others=others, sep=sep, na_re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22723/events | https://github.com/pandas-dev/pandas/pull/22723 | 360,558,550 | MDExOlB1bGxSZXF1ZXN0MjE1Nzc5NTYy | 22,723 | TST/CLN: remove duplicate data file used in tests (unicode_series.csv) | {
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"followers_url": "https://api.github... | 5 | 2018-09-15T17:17:29Z | 2018-09-18T14:25:43Z | 2018-09-18T11:17:21Z | MEMBER | null | - [N/A ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ N/A] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22724/events | https://github.com/pandas-dev/pandas/issues/22724 | 360,563,340 | MDU6SXNzdWUzNjA1NjMzNDA= | 22,724 | Mismatch in Series/DataFrame boolean ops behavior | {
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```
s1 = pd.Series([True, False, np.nan, True], dtype=object)
s2 = pd.Series([True, True, False, np.nan], dtype=object)
>>> s1 & s2
0 True
1 False
2 False
3 False
dtype: bool
>>> s1.to_frame() & s2.to_frame()
0
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https://api.github.com/repos/pandas-dev/pandas/issues/22725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22725/events | https://github.com/pandas-dev/pandas/pull/22725 | 360,587,526 | MDExOlB1bGxSZXF1ZXN0MjE1Nzk1NjQy | 22,725 | CLN/ERR: str.cat internals | {
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"followers_url": "https://api.github... | 38 | 2018-09-16T00:11:27Z | 2018-10-15T18:29:13Z | 2018-10-14T21:54:51Z | CONTRIBUTOR | null | This is mainly a clean-up of internal methods for `str.cat` that I didn't want to touch within #20347.
~~As a side benefit of changing the implementation, this also solves #22721. Finally, I've also added a better message for TypeErrors (closes #22722)~~
~~closes #22721~~
~~closes #22722~~
- [x] tests modified ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22726/events | https://github.com/pandas-dev/pandas/pull/22726 | 360,590,289 | MDExOlB1bGxSZXF1ZXN0MjE1Nzk3MDU1 | 22,726 | CLN: io/formats/html.py: refactor | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22727/events | https://github.com/pandas-dev/pandas/issues/22727 | 360,602,232 | MDU6SXNzdWUzNjA2MDIyMzI= | 22,727 | Feature request: add an optional values parameter to Styler.background_gradient | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22728/events | https://github.com/pandas-dev/pandas/pull/22728 | 360,607,718 | MDExOlB1bGxSZXF1ZXN0MjE1ODA1NTAw | 22,728 | CLN/DOC: Refactor timeseries.rst intro and overview | {
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] | closed | false | null | [] | null | 3 | 2018-09-16T06:06:56Z | 2018-09-17T19:11:15Z | 2018-09-17T19:10:56Z | MEMBER | null | Refactoring `timeseries.rst` introduction and overview to give a better introduction into pandas timeseries functionality:
- Introduce a wider range of examples
- Overview all scalar and array classes, related data types, and range methods, and `NaT` in the beginning
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https://api.github.com/repos/pandas-dev/pandas/issues/22729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22729/events | https://github.com/pandas-dev/pandas/issues/22729 | 360,618,618 | MDU6SXNzdWUzNjA2MTg2MTg= | 22,729 | Groupby Get Groups fails with "OverflowError: value too large to convert to int" | {
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"followers_url": "https://api.github... | 10 | 2018-09-16T08:47:50Z | 2019-01-15T12:33:23Z | 2019-01-15T12:33:23Z | NONE | null | Hi, I am the maintainer of tsfresh, we calculate features from time series and rely on pandas internally.
Since we open sourced tsfresh, we had numerous reports of tsfresh crashing on big datasets but were never able to pin it down. The errors seem to occur for big datasets (100 GB+). I also tried to reproduce it b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22730/events | https://github.com/pandas-dev/pandas/pull/22730 | 360,694,656 | MDExOlB1bGxSZXF1ZXN0MjE1ODU0NjI0 | 22,730 | CLN: res/exp and GH references in frame tests | {
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EDIT: after review by @WillAyd, the fixturization was split out to #22735, #22736 and #22738. Now contains only the following clean-ups, also for #22733:
* Replace instances of pd. with direct impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22731/events | https://github.com/pandas-dev/pandas/pull/22731 | 360,696,587 | MDExOlB1bGxSZXF1ZXN0MjE1ODU1ODUw | 22,731 | DOC: Fix Series nsmallest and nlargest docstring/doctests | {
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] | closed | false | null | [] | null | 2 | 2018-09-17T00:51:52Z | 2018-09-18T15:04:12Z | 2018-09-18T13:58:22Z | CONTRIBUTOR | null | - [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Based on #22459. Fix the docstring for Series.nsmallest and Series.nlargest. I did both together since the same example could be used. I removed both from the skipped doctests in `ci/doctests.sh`.
I also found out abo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22732 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22732/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22732/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22732/events | https://github.com/pandas-dev/pandas/issues/22732 | 360,697,632 | MDU6SXNzdWUzNjA2OTc2MzI= | 22,732 | read_html substitutions | {
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] | closed | false | null | [] | null | 1 | 2018-09-17T01:03:15Z | 2018-09-17T03:52:15Z | 2018-09-17T03:52:15Z | NONE | null | Hello All,
I have a link from which I need to get the data (basically the whole table)
https://cdaw.gsfc.nasa.gov/CME_list/radio/waves_type2.html
But there is no < table > tag, so read_html does not work.
![screen shot 2018-09-15 at 9 55 10 pm](https://user-images.githubusercontent.com/43326583/45602876-c94... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22733/events | https://github.com/pandas-dev/pandas/pull/22733 | 360,697,636 | MDExOlB1bGxSZXF1ZXN0MjE1ODU2NTI1 | 22,733 | TST/CLN: Fixturize frame/test_analytics | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This module is **much** harder to fixturize than e.g. #22236 or #22730, mainly due to the class methods `_check_stat_op` and `_check_bool_op`, which, despite having an argument for the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22734/events | https://github.com/pandas-dev/pandas/pull/22734 | 360,943,432 | MDExOlB1bGxSZXF1ZXN0MjE2MDM4NDYz | 22,734 | removing superfluous reference to axis in Series.reorder_levels docst… | {
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I removed the superfluous reference to axis in Series.reorder_levels docstring.
- [ ] xref #22627
- [x] tests added / passed (doesn't apply)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry (doesn't apply, only removed a line in the docstring)
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https://api.github.com/repos/pandas-dev/pandas/issues/22735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22735/events | https://github.com/pandas-dev/pandas/pull/22735 | 361,031,100 | MDExOlB1bGxSZXF1ZXN0MjE2MTA1MjQ5 | 22,735 | Fixturize tests/frame/test_apply | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22736/events | https://github.com/pandas-dev/pandas/pull/22736 | 361,035,280 | MDExOlB1bGxSZXF1ZXN0MjE2MTA4MjY1 | 22,736 | Fixturize tests/frame/test_arithmetic | {
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The changes in `conftest.py` are due to the following:
> In translating the quasi-fixtures from `TestData` to `conftest` in #22236, I sorted the dtypes for the columns of `mixed_float_frame` and `mixed_int_frame`, which turns out to have been a mistake. This is rev... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I'm just not sure about which file should I add my changes in whatsnew, can anyone help me with that? | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
`tests/frame/test_api` was easy enough to fixturize, but I ran into problems because some tests (notably those in `SharedWithSparse`) are also used in `tests/sparse/frame/test_frame`, and th... | {
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import pandas as pd
import numpy as np
from decimal import Decimal
np.random.seed(123)
df = pd.DataFrame(np.random.randint(0,5,size=(5, 4)), columns=list('ABCD'))
df.values
```
array([[2, 4, 2, 1],
[3, 2, 3, 1],
[1, 0, 1, 1],
[0, 0, 1, 3],
[4, 0, 0, 4]])
```python
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```python
# Starting the interpreter with `python -Werror::DeprecationWarning:pandas.core.dtypes.cast`
>>> import numpy as np
>>> import pandas as pd
>>> pd.Series("2018-03-08", index=pd.RangeIndex(stop=1), dtype="datetime64[ns]")
0 2018-03-08
dtype: da... | {
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"c... | closed | false | null | [] | null | 6 | 2018-09-18T13:03:16Z | 2018-11-23T03:29:24Z | 2018-11-23T03:29:23Z | MEMBER | null | This should fix the DeprecationWarning described in #22741 . Not sure if it's worth adding a test. What's the policy on things like these?
- [x] closes #22741
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry | {
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xref https://github.com/pandas-dev/pandas/issues/21564
We print the doc build output to a file and parse that file for errors. This is preferable to Sphinx'x built-in ability to raise on errors, since we will print warnings for *all* the errors present in a PR, rather than just the first (and... | {
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```python
import numpy as np
import pandas as pd
# This works
df = pd.DataFrame({'A': [1.0, np.nan, np.nan, 2.0]})
df.interpolate(method='nearest')
# This doesn't
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- [y] closes #21295
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"followers_url": "https://api.github... | 1 | 2018-09-18T19:45:31Z | 2019-01-01T16:35:15Z | 2019-01-01T16:35:15Z | MEMBER | null | #### Code Sample
```python
df = pd.DataFrame(np.zeros((2, 2), dtype=int))
df.columns.name = 'columns.name'
df.to_html(index_names=False)
```
#### Output
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>columns.name</th>
<th>0</th>
<th>1</th>
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22748 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22748/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22748/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22748/events | https://github.com/pandas-dev/pandas/issues/22748 | 361,456,707 | MDU6SXNzdWUzNjE0NTY3MDc= | 22,748 | BUG: read_table crashes Python on surrogates | {
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"followers_url": "https://api.github... | 1 | 2018-09-18T19:50:32Z | 2018-09-24T03:53:10Z | 2018-09-24T03:53:10Z | NONE | null | #### Code Sample
```python
import io
import pandas as pd
b = io.BytesIO(b"\xB0")
t = io.TextIOWrapper(b, encoding='ascii', errors='surrogateescape')
pd.read_table(t)
```
#### Problem description
The `pd.read_table(t)` call crashes the interpreter.
#### Expected Output
At least it should throw an ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22749 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22749/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22749/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22749/events | https://github.com/pandas-dev/pandas/pull/22749 | 361,458,385 | MDExOlB1bGxSZXF1ZXN0MjE2NDI0ODUz | 22,749 | Corrected to necessary pip requirements format | {
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Requirements format for building pip env requires '==' instead of '=' | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22750 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22750/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22750/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22750/events | https://github.com/pandas-dev/pandas/pull/22750 | 361,473,168 | MDExOlB1bGxSZXF1ZXN0MjE2NDM1ODg5 | 22,750 | BUG: read_table and read_csv crash (#22748) | {
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 4 | 2018-09-18T20:35:40Z | 2018-09-24T03:53:17Z | 2018-09-24T03:53:10Z | CONTRIBUTOR | null | A missing null-pointer check made read_table and read_csv prone
to crash on badly encoded text. Add null-pointer check.
- [X] closes #22748
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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"color": "207de5... | closed | false | null | [] | null | 6 | 2018-09-18T20:46:31Z | 2018-10-13T16:22:14Z | 2018-10-05T14:28:28Z | MEMBER | null | This and #22019 get rid of the only two usages of `BlockManager.eval` and `Block.eval`. Getting rid of those will be a good day.
This is pretty ugly at the moment. There are some design issues (namely, what broadcasting rules are intended to be supported) that need to be cleared up before this can be made pretty.
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"followers_url": "https://api.github... | 0 | 2018-09-18T20:56:29Z | 2018-09-25T12:58:21Z | 2018-09-25T12:58:21Z | NONE | null | #### Code Sample
```python
import pandas as pd
aas = [2,2,2,1,1,1]
bbs = [1,2,3,3,2,1]
n = 4
df = pd.DataFrame({'a': aas, 'b': bbs})
print('-- First --')
nlargest = df.nlargest(n, columns=['a', 'b']).sort_values(['a', 'b'], ascending=False)
print(nlargest)
print('-- Second --')
pseudo_nlargest = d... | {
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```python
import pandas as pd
df = pd.DataFrame({'name': ['a']})
df['value'] = 0.5
print(df.mean(numeric_only=True))
print()
print(df.mean())
```
```
value 0.5
dtype: float64
name 2.320359906103466e+77j
value (0.5+0j)
dtype:... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
When asking for the n largest/smallest rows in a dataframe
nlargest/nsmallest sometimes failed to differentiate
the correct result.
I looked at the nsmallest/nlargest impl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22756 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22756/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22756/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22756/events | https://github.com/pandas-dev/pandas/pull/22756 | 361,522,358 | MDExOlB1bGxSZXF1ZXN0MjE2NDczOTQ3 | 22,756 | TST: Fixturize series/test_validate.py | {
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"followers_url": "https://api.github... | 5 | 2018-09-18T23:34:26Z | 2018-10-03T08:47:40Z | 2018-09-25T12:30:34Z | CONTRIBUTOR | null | This is in reference to issue #22550 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22757 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22757/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22757/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22757/events | https://github.com/pandas-dev/pandas/issues/22757 | 361,525,283 | MDU6SXNzdWUzNjE1MjUyODM= | 22,757 | pandas fails to install if Cython is not installed | {
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Trying to install pandas using pip3 (and Python-3.6.6), I get:
```
% pip3 install pandas
Collecting pandas
Using cached https://files.pythonhosted.org/packages/e9/ad/5e92ba493eff96055a23b0a1323a9a803af71ec859ae3243ced86fcbd0a4/pandas-0.23.4.tar.gz
Complete output from command python... | {
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... | 0 | 2018-09-19T02:41:03Z | 2018-09-20T22:17:21Z | 2018-09-20T22:17:21Z | MEMBER | null | Right now the header style of excel exports is defined as global to the `pandas/io/formats/excel.py` module:
https://github.com/pandas-dev/pandas/blob/1a12c41d201f56439510e683fadfed1218ea9067/pandas/io/formats/excel.py#L37
Because this exists outside of the `ExcelFormatter` class where it is used it is way more d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22759/events | https://github.com/pandas-dev/pandas/pull/22759 | 361,596,259 | MDExOlB1bGxSZXF1ZXN0MjE2NTI2OTAw | 22,759 | ENH: Making header_style a property of ExcelFormatter #22758 | {
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- [y] tests added / passed
- [y] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/22760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22760/events | https://github.com/pandas-dev/pandas/pull/22760 | 361,697,819 | MDExOlB1bGxSZXF1ZXN0MjE2NjAxMzUy | 22,760 | Set up CI with Azure Pipelines | {
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closes #22346
xref #22865 | {
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We're on the sixth page of jobs (so about 24h waiting time for commits coming in now), and CircleCI is stalling intermittently, e.g. right now, since about half an hour (not sure if those workers may be changing ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22764 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22764/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22764/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22764/events | https://github.com/pandas-dev/pandas/issues/22764 | 361,784,321 | MDU6SXNzdWUzNjE3ODQzMjE= | 22,764 | ENH: allow passing a mask to nanops to facilitate EA reduction ops | {
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currently we call nanops like
``nansum(values, skipna=boolean)``
this doesn't allow us to take advantage of knowing the nan mask a-priori (e.g. in an IntegerArray), and instead re-computes it based on the values (only).
We could allow ``... | {
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cc @jreback (going to just merge this though) | {
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2. Setup https://docs.microsoft.com/en-us/azure/devops/pipelines/tasks/test/publish-test-results?view... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Based on #22459. Fix the docstring for DataFrame.isin. I also updated `ci/doctests.sh`.
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I've had an actual use case for this for at ... | {
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"followers_url": "https://api.github... | 2 | 2018-09-19T22:22:22Z | 2018-09-20T15:55:03Z | 2018-09-20T14:52:53Z | CONTRIBUTOR | null | This PR updates the docstrings for `DataFrame.any` and `DataFrame.all` to match the corresponding function signatures. Specifically, the `bool_only` parameter was moved to be the seconds parameter in the docstring.
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https://api.github.com/repos/pandas-dev/pandas/issues/22775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22775/events | https://github.com/pandas-dev/pandas/pull/22775 | 361,959,847 | MDExOlB1bGxSZXF1ZXN0MjE2ODAxNzQ4 | 22,775 | DOC: update the DataFrame.reindex_like docstring | {
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] | closed | false | null | [] | null | 7 | 2018-09-19T23:05:50Z | 2018-11-26T23:12:26Z | 2018-11-26T23:12:14Z | CONTRIBUTOR | null | - [x] The PEP8 style check passes: git diff upstream/master -u -- "*.py" | flake8 --diff
- [x] The html version looks good: python doc/make.py --single <your-function-or-method>
- [ ] The validation script passes: scripts/validate_docstrings.py <your-function-or-method>
Errors due to the fact that this method `.rein... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22776 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22776/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22776/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22776/events | https://github.com/pandas-dev/pandas/pull/22776 | 361,964,183 | MDExOlB1bGxSZXF1ZXN0MjE2ODA1MDQw | 22,776 | DOC: Fix outdated default values in util.testing docstrings | {
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"followers_url": "https://api.github... | 3 | 2018-09-19T23:28:13Z | 2018-09-20T19:54:04Z | 2018-09-20T14:31:15Z | CONTRIBUTOR | 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/22777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22777/events | https://github.com/pandas-dev/pandas/issues/22777 | 362,032,408 | MDU6SXNzdWUzNjIwMzI0MDg= | 22,777 | Something wroing in rpy2 / R interface in Official Guide | {
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Here is the link:
https://pandas.pydata.org/pandas-docs/stable/r_interfac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22778 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22778/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22778/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22778/events | https://github.com/pandas-dev/pandas/issues/22778 | 362,092,422 | MDU6SXNzdWUzNjIwOTI0MjI= | 22,778 | Feature request: DataFrame.pop with argument axis | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-09-20T09:16:16Z | 2018-09-20T10:58:48Z | 2018-09-20T10:58:41Z | NONE | null | #### Comment
Pop works as in python lists: It returns an element by index and removes it from the original object.
Unlike lists however, `Dataframe` objects are two-dimensional. It should be possible to `pop()` by either axis, with the current behavior set up as default.
#### Code Sample, a copy-pastable example... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22779/events | https://github.com/pandas-dev/pandas/issues/22779 | 362,108,638 | MDU6SXNzdWUzNjIxMDg2Mzg= | 22,779 | Memory error on large machine | {
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```python
import os, sqlite3
import pandas as pd
import numpy as np
from feat_transform import filter_anevexp
db_path = r'C:\Users\timregan\Desktop\anondb_280718.sqlite3'
db = sqlite3.connect(db_path)
anevexp_df = filter_anevexp(db, 0)
```
On my laptop (with 8GB ... | {
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@jorisvandenbossche suggested moving this off of the BlockManager.
Right now, I've made this public. Do we want that? If so I'll add to api.rst, release note, etc. Otherwise, I'll make it private. | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] Added examples to create DataFrame from series and series with `nan`
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```
[create env]
Solving environment: ...working... failed
CondaHTTPError: HTTP 404 NOT FOUND for url <https://conda.anaconda.org/r/noarch/repodata.json>
Elapsed: 00:00.034960
CF-RAY: 45ce57b9... | {
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```python
np.random.seed(seed=0)
df = pd.DataFrame(np.random.randn(2,5))
df.to_html(max_cols=4, index=False)
```
#### Problem description
similar to #15019 with `max_cols` instead of `max_rows`
#### Output
<table border="1" class="dataframe">
<thead>
<tr style="text-align: ri... | {
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"followers_url": "https://api.github... | 0 | 2018-09-20T13:46:51Z | 2018-09-26T14:27:53Z | 2018-09-26T14:27:53Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [8]: df = pd.DataFrame({"A": pd.Categorical([1, 2]), "B": pd.Categorical([1, 2])})
In [9]: df.loc[0]
Out[9]:
A 1
B 1
Name: 0, dtype: object
```
#### Problem description
The dtype is object. It should be `category`
#### Expected ... | {
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"followers_url": "https://api.github... | 7 | 2018-09-20T13:50:36Z | 2018-09-26T14:27:56Z | 2018-09-26T14:27:53Z | CONTRIBUTOR | null | closes #22784
Builds on #22780 (first commit).
0197e0c has the relevant changes. | {
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"followers_url": "https://api.github... | 10 | 2018-09-20T14:09:21Z | 2018-11-17T00:34:25Z | 2018-11-15T13:49:18Z | MEMBER | null | - [x] closes #15019
- [x] closes #22783
- [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/22787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22787/events | https://github.com/pandas-dev/pandas/pull/22787 | 362,213,749 | MDExOlB1bGxSZXF1ZXN0MjE2OTkyNDAz | 22,787 | DOC: Updating Series.autocorr docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22788 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22788/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22788/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22788/events | https://github.com/pandas-dev/pandas/issues/22788 | 362,225,511 | MDU6SXNzdWUzNjIyMjU1MTE= | 22,788 | BUG: Importing pandas with warnings("error") fails | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-09-20T14:51:38Z | 2018-09-20T16:17:31Z | 2018-09-20T16:16:58Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import warnings
warnings.simplefilter("error") # causes below line to fail, comment out to succeed without warning
import pandas as pd
```
#### Problem description
Enabling `warnings.simplefilter("error")` causes pandas to raise an error
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22789 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22789/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22789/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22789/events | https://github.com/pandas-dev/pandas/issues/22789 | 362,239,160 | MDU6SXNzdWUzNjIyMzkxNjA= | 22,789 | Misleading read_csv() error message. It says lines but refers to rows. | {
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"followers_url": "https://api.github... | 5 | 2018-09-20T15:21:42Z | 2018-09-25T16:38:54Z | 2018-09-25T16:38:54Z | NONE | null | This is not an error per se but might misdirect others as it did to me.
```python
from io import StringIO
# if not using python 3:
# from StringIO import StringIO
import pandas as pd
TESTDATA = StringIO("""c1;c2;c3
1,"some text"
2,"some more
text that is
multiple lines"
3,"more tex... | {
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"followers_url": "https://api.github... | 4 | 2018-09-20T15:59:55Z | 2019-01-11T20:45:31Z | 2018-09-28T15:06:16Z | CONTRIBUTOR | null | I have some local failures with matplotlib 3.x only
```
========================================================================= FAILURES =========================================================================
______________________________________________________ TestTSPlot.test_matplotlib_scatter_datetime64 _... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22791 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22791/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22791/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22791/events | https://github.com/pandas-dev/pandas/issues/22791 | 362,260,964 | MDU6SXNzdWUzNjIyNjA5NjQ= | 22,791 | ExtensionDtype API for preferred type when converting to NumPy array | {
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... | 10 | 2018-09-20T16:13:02Z | 2021-06-22T05:12:56Z | null | CONTRIBUTOR | null | This is coming out of SparseArray. Right now if you have a homogeneous DataFrame of EAs, then doing something like `np.asarray(df)` will always convert to object. https://github.com/pandas-dev/pandas/blob/32a74f19b655f4b0ef198d5ff4e15d409c3670d2/pandas/core/internals/managers.py#L787-L794.
Should we give ExtensionDt... | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-09-20T17:40:30Z | 2018-09-20T18:17:26Z | 2018-09-20T18:17:14Z | NONE | null | I created a custom Array called ```GeoArray(NumPyBackedExtensionArrayMixin)```.
When I try to dump out my custom array, I get the following error:
```
builtins.AttributeError: 'GeoArray' object has no attribute 'T'
```
What does `T` have to be? How do I define it?
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https://api.github.com/repos/pandas-dev/pandas/issues/22793 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22793/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22793/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22793/events | https://github.com/pandas-dev/pandas/issues/22793 | 362,341,498 | MDU6SXNzdWUzNjIzNDE0OTg= | 22,793 | divide by 0 for Int64 is inconsistent with int64 | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 2 | 2018-09-20T19:54:49Z | 2020-05-13T02:35:12Z | null | NONE | null | ```
In [5]: pd.Series([1], dtype='Int64') / pd.Series([0], dtype='Int64')
Out[5]: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22794 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22794/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22794/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22794/events | https://github.com/pandas-dev/pandas/issues/22794 | 362,351,812 | MDU6SXNzdWUzNjIzNTE4MTI= | 22,794 | merge_asof can't handle floats in by column? | {
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... | 1 | 2018-09-20T20:25:59Z | 2021-06-22T05:16:41Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df1=pd.DataFrame({"cat":5*[-5.0] + 5*[25.0] + 5*[65.0], "num": np.tile(np.linspace(100,200,5),3) + 10*(np.random.rand(15)-0.5)}).sort_values("num")
df2 = pd.DataFrame({"cat": 3 * [-5.0] + 3 * [25.0] + 3 * [65.0], "num": 3*[110.0,190.0,200.0],"val":np.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22795/events | https://github.com/pandas-dev/pandas/pull/22795 | 362,353,538 | MDExOlB1bGxSZXF1ZXN0MjE3MDk3Nzcz | 22,795 | Enforce flake8 E741 | {
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"d... | closed | false | null | [] | null | 4 | 2018-09-20T20:31:10Z | 2018-09-21T13:58:09Z | 2018-09-20T21:21:10Z | CONTRIBUTOR | null | Enforce flake8 E741
#19496 ( Was added here )
But running `flake8 --select E741` returns nothing
Looks like this is a valid flake8 rule: ( unless im looking at the wrong docs )
https://lintlyci.github.io/Flake8Rules/ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22796/events | https://github.com/pandas-dev/pandas/issues/22796 | 362,397,340 | MDU6SXNzdWUzNjIzOTczNDA= | 22,796 | Concat of dataframe with tz-aware datetime column against dataframe without, fails | {
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"followers_url": "https://api.github... | 3 | 2018-09-20T22:57:43Z | 2018-10-09T18:41:43Z | 2018-10-09T18:41:43Z | NONE | null | ```python
a = pd.DataFrame([[1, 2]], dtype='datetime64[ns, UTC]')
b = pd.DataFrame([[3]], dtype='datetime64[ns, UTC]')
pd.concat([a, b])
```
Fails:
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipyt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22797/events | https://github.com/pandas-dev/pandas/issues/22797 | 362,589,525 | MDU6SXNzdWUzNjI1ODk1MjU= | 22,797 | loc() does not swap two rows in multi-index pandas dataframe | {
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"color": "20... | closed | false | null | [] | {
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df = pd.DataFrame(np.arange(12).reshape((4, 3)),
index=[['a', 'a', 'b', 'b'], [1, 2, 1, 2]],
columns=[['Ohio', 'Ohio', 'Colorado'],
['Green', 'Red', 'Green']])
df.loc[['b','a'],:] # does not swap
# df.reindex(index=['b', 'a'], level=0) # This works
```
#### Problem description
df.loc[['b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22798/events | https://github.com/pandas-dev/pandas/issues/22798 | 362,590,732 | MDU6SXNzdWUzNjI1OTA3MzI= | 22,798 | Support numpy ufuncs for ExtensionArrays | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-09-21T12:20:01Z | 2020-01-02T15:10:40Z | 2020-01-02T15:10:28Z | MEMBER | null | Currently calling numpy ufuncs such as `np.exp` on a Series[EA] or EA does not work yet:
```
In [44]: s = pd.Series([1, 2, 3, 4], dtype='Int64')
In [45]: np.exp(s)
---------------------------------------------------------------------------
TypeError Traceback (most recent call l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22799/events | https://github.com/pandas-dev/pandas/issues/22799 | 362,618,552 | MDU6SXNzdWUzNjI2MTg1NTI= | 22,799 | BUG: boxplot does not work when there is a datetime64 column | {
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... | 0 | 2018-09-21T13:33:58Z | 2019-08-13T12:44:10Z | 2019-08-13T12:44:10Z | MEMBER | null | Making a boxplot of a DataFrame does not seem to skip datetime64 columns, as you get the following error (it tries to calculate the mean of the datetime64 values):
```
In [4]: df = pd.DataFrame({'a': pd.date_range("2012-01-01", periods=100), 'b': np.random.randn(100), 'c': np.random.randn(100)+2})
In [6]: df.plo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22800/events | https://github.com/pandas-dev/pandas/issues/22800 | 362,673,953 | MDU6SXNzdWUzNjI2NzM5NTM= | 22,800 | pd.read_clipboard() from excel now gives warning | {
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... | [] | closed | false | null | [] | null | 1 | 2018-09-21T15:46:54Z | 2018-09-21T15:50:12Z | 2018-09-21T15:50:11Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
"""
Copy below from excel
foo bar
123 4546464
123 462462
23 26456246
123 2346246
"""
import pandas as pd
pd.read_clipboard()
# get the following error
"""
C:\...\lib\site-packages\pandas\io\clipboards.py:63: ParserWarning: Falling back to... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22801/events | https://github.com/pandas-dev/pandas/issues/22801 | 362,696,852 | MDU6SXNzdWUzNjI2OTY4NTI= | 22,801 | DataFrame.to_dict can result in data loss when indexes are not unique | {
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"color": "0e8a... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 4 | 2018-09-21T16:47:08Z | 2018-10-11T13:09:06Z | 2018-10-11T13:09:06Z | NONE | null | #### Code Sample,
```python
df = pd.DataFrame([["A","B","C"],["A","D","E"],["F","G","K"]])
df.set_index(0, inplace=True)
print(df)
```
---1 2
0
A B C
A D E
F G K
```python
print(df.to_dict(orient="index"))
```
{'A': {1: 'D', 2: 'E'}, 'F': {1: 'G', 2: 'K'}}
#### Problem description
The... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22802/events | https://github.com/pandas-dev/pandas/pull/22802 | 362,758,623 | MDExOlB1bGxSZXF1ZXN0MjE3Mzg5NDQ3 | 22,802 | Fix Timestamp.round errors | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- [x] rebase for the new `ambiguous` kwarg, resolve conflicts. | {
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"followers_url": "https://api.github... | 2 | 2018-09-21T20:22:29Z | 2018-11-07T14:09:12Z | 2018-11-07T14:09:12Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
tuples = [(pandas.Period('2018-01-01', freq='D'), 1)]
index = pandas.MultiIndex.from_tuples(tuples)
s = pandas.Series([1.0], index=index)
print(s[~s.isnull()])
```
#### Problem description
Running the code above causes an exception... | {
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- [x] closes #22706
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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] | closed | false | null | [] | null | 1 | 2018-09-22T18:53:54Z | 2018-09-22T21:03:14Z | 2018-09-22T21:03:06Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
Sales=pd.read_csv("E:\\Sales_sample.csv")
Sales.sort_values(by="dateSold")
```
#### Problem description
I h... | {
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```python
In [32]: df = pd.DataFrame({'a': list('abc'), 'b': range(3), 'c': range(3)})
In [33]: df['c'] = df['c'].astype('category')
In [34]: df.dtypes
Out[34]:
a object
b int64
c category
dtype: object
In [35]: import csv
In [36]: df.t... | {
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medium prices
use_medium = df[ 2.5 < df.Price | df.Price < 7]
use_medium
```
Almost tried:
```
use_medium = df[ 2.5 < df.Price < 7]
use_medium = df[2.5 < df.Price & df.Price<7]
```
#### Problem description
I need to select the elements with prices under 7.
#### Expected Output
DF showing the ... | {
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- [x] closes #10117
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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