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https://api.github.com/repos/pandas-dev/pandas/issues/23412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23412/events | https://github.com/pandas-dev/pandas/issues/23412 | 375,192,920 | MDU6SXNzdWUzNzUxOTI5MjA= | 23,412 | ASV: docs, runtime, stability, build acceleration, PR integration? | {
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"default"... | open | false | null | [] | null | 5 | 2018-10-29T20:04:37Z | 2018-11-07T06:48:16Z | null | CONTRIBUTOR | null | Currently, https://pandas.pydata.org/pandas-docs/stable/contributing.html says:
> Running the full test suite can take up to one hour and use up to 3GB of RAM.
On a standard laptop with 8GB RAM and 4 cores, this was more like **6.5h** last night.
I recently updated the ASV code (as recommended by `contributing.h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23413/events | https://github.com/pandas-dev/pandas/pull/23413 | 375,231,304 | MDExOlB1bGxSZXF1ZXN0MjI2NzI1MDIw | 23,413 | Data type of new assigned DataFrame column #23326 | {
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- [ ] tests added / pass
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23414/events | https://github.com/pandas-dev/pandas/pull/23414 | 375,271,217 | MDExOlB1bGxSZXF1ZXN0MjI2NzU2Mjgx | 23,414 | REF: de-duplicate DataFrame/SparseDataFrame arithmetic code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23415/events | https://github.com/pandas-dev/pandas/pull/23415 | 375,286,531 | MDExOlB1bGxSZXF1ZXN0MjI2NzY3NDIz | 23,415 | WIP: DatetimeArray+TimedeltaArray | {
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So far this just implements `take` and `concat_same_type`. Tests are taken from an older mothballed PR, so are pretty duplicative, need to be cleaned up. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23416/events | https://github.com/pandas-dev/pandas/pull/23416 | 375,303,703 | MDExOlB1bGxSZXF1ZXN0MjI2Nzc5NTk0 | 23,416 | REF: use asi8 instead of _data in PeriodArray | {
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"description"... | closed | false | null | [] | null | 9 | 2018-10-30T03:23:25Z | 2020-04-05T17:38:28Z | 2018-11-02T01:10:07Z | MEMBER | null | @TomAugspurger @jorisvandenbossche discussed on the call a couple weeks ago. Reference `asi8` instead of `_data` or `_ndarray_values` is the most-explicit option available.
I would also be in favor of getting rid of `_data` directly and setting `asi8` in `__init__`, but holding off on that pending consensus.
Als... | {
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"d... | closed | false | null | [] | null | 4 | 2018-10-30T03:40:24Z | 2020-09-22T01:36:26Z | 2020-09-22T01:36:26Z | MEMBER | null | Currently, similar tests for DataFrame and Series are written in either `test_arithmetic.py` or `test_operators.py`.
How about merging them, or split them to based on operators (like `test_op_arithmetic`, `test_op_comparison` and `test_op_unary`). | {
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- [ ] 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/23419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23419/events | https://github.com/pandas-dev/pandas/issues/23419 | 375,513,794 | MDU6SXNzdWUzNzU1MTM3OTQ= | 23,419 | netCDF4 / cftime real_datetime object is not supported | {
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```python
import pandas, numpy, netCDF4
time=netCDF4.num2date([0,1,2,3,4,5,500,1000], 'days since 1801-10-01')
pandas.Series(numpy.arange(len(time)), index=time)
```
#### Problem description
NetCDF4 is giving us arrays with cftime.real_datetime objects in... | {
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... | open | false | null | [] | null | 7 | 2018-10-30T17:24:32Z | 2020-04-10T04:48:30Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
d = pd.DataFrame([pd.Timedelta(5,'D')], columns=['dt'])
d.query('dt =="5 days"', engine='numexpr')
# works:
# dt
# 0 5 days
d.query('dt =="4 days"', engine='numexpr')
# works:
#Empty DataFrame
#Columns: [dt]
#Index... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23421/events | https://github.com/pandas-dev/pandas/issues/23421 | 375,613,759 | MDU6SXNzdWUzNzU2MTM3NTk= | 23,421 | API: fix corner cases of lib.infer_dtype | {
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"followers_url": "https://api.github... | 4 | 2018-10-30T17:42:40Z | 2018-11-04T15:53:28Z | 2018-11-04T15:53:28Z | CONTRIBUTOR | null | Encountering this while working on #23167
There a few inconsistencies in `pandas._libs.lib.infer_dtype`, e.g.
```
>>> import pandas as pd
>>> import numpy as np
>>> import pandas._libs.lib as lib
>>>
>>> lib.infer_dtype(pd.Series([], dtype=object))
'empty'
>>> lib.infer_dtype(pd.Index([], dtype=object))
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"followers_url": "https://api.github... | 8 | 2018-10-30T17:54:25Z | 2018-11-05T00:14:29Z | 2018-11-04T15:53:28Z | CONTRIBUTOR | null | - [x] closes #23421
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Working towards #23167 needs fixing of the type inference for some corner cases (especially not inferring an object column full of NaNs to be `'floating'`).
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```python
(pandas-dev) bilbo:pandas-rb robertbuckley$ python setup.py build_ext --inplace -j 4
running build_ext
building 'pandas._libs.window' extension
gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototy... | {
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"followers_url": "https://api.github... | 3 | 2018-10-30T23:52:49Z | 2018-11-08T13:25:59Z | 2018-11-06T20:49:42Z | MEMBER | null | Fixes issues mentioned as follow-ups to #23320
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
import operator
import json
import numpy as np
from pandas.core.arrays import ExtensionArray
from pandas.core.dtypes.dtypes import ExtensionDtype
from arcgis.geometry import Geometry
import pandas as pd
from .parser import _to_geo_array
#... | {
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"color": "d7... | closed | false | null | [] | null | 2 | 2018-10-31T15:38:30Z | 2018-11-01T00:34:41Z | 2018-11-01T00:34:41Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
x = pd.Series({'a':1, 'b':2, 'c':3, 'd':4})
x.get(['a', 'v'], default=-1)
```
#### Expected Output
```python
pd.Series({'a':1, 'v':-1})
```
#### Current Output
FutureWarning:
Passing list-likes to .loc or [] with any missing label will ra... | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,5,size=(5, 4)), columns=list('ABCD'))
df.style.background_gradient(cmap='viridis')
df.style.background_gradient(cmap='Wistia')
```
#### Problem description
Curren... | {
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Updated returns checks in `validate_docstrings.py`:
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- check capitalization and punctuation in descriptions
Updated `test_validate_docstrings.py`:
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pushed errors further from the exit code.
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- [x] tests added / passed
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This PR makes the default parameter in `Series.get` behave as expected with multiple indices. Some of the testing classes had to be altered to make them work with receiving `Non... | {
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https://github.com/pandas-dev/pandas/pull/23431#discussion_r229905762
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"followers_url": "https://api.github... | 10 | 2018-11-01T00:36:23Z | 2018-11-03T13:58:46Z | 2018-11-03T13:58:46Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
dates = pd.Series(pd.date_range('2014-01-01', '2017-01-01', freq='MS'))
# This fails...
pd.PeriodIndex(dates, freq='M')
---------------------------------------------------------------------------
AttributeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23439/events | https://github.com/pandas-dev/pandas/pull/23439 | 376,234,394 | MDExOlB1bGxSZXF1ZXN0MjI3NDk4NjQx | 23,439 | BUG: Cleanup timedelta offset | {
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"followers_url": "https://api.github... | 5 | 2018-11-01T02:57:54Z | 2018-11-13T00:54:12Z | 2018-11-06T03:27:30Z | MEMBER | null | - [x] closes #21762
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixed to use same unit parsing logic in `Timedelta` and `to_timedelta`. Needs to update after #23264 and #23259.
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https://api.github.com/repos/pandas-dev/pandas/issues/23440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23440/events | https://github.com/pandas-dev/pandas/issues/23440 | 376,264,314 | MDU6SXNzdWUzNzYyNjQzMTQ= | 23,440 | BUG: IntervalTree construction fails for 32bit when n_elements > leaf_size | {
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... | open | false | null | [] | null | 2 | 2018-11-01T05:59:29Z | 2020-04-03T04:15:39Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
See https://travis-ci.org/MacPython/pandas-wheels/jobs/448674095 for some specific test failures. The basic setup on a 32bit system is along the lines of:
```python
In [2]: left = np.arange(5)
In [3]: tree = pd._libs.interval.IntervalTree(left, left+2, le... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23441 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23441/events | https://github.com/pandas-dev/pandas/pull/23441 | 376,268,072 | MDExOlB1bGxSZXF1ZXN0MjI3NTIzOTg3 | 23,441 | TST: tweak Hypothesis configuration and idioms | {
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"followers_url": "https://api.github... | 5 | 2018-11-01T06:44:54Z | 2018-11-02T22:53:37Z | 2018-11-01T17:05:50Z | MEMBER | null | xref #23440, https://github.com/pandas-dev/pandas/pull/23353#issuecomment-434642190
Note that we've been skipping tests due to this issue for some time now, it just wasn't formally documented as an issue:
https://github.com/pandas-dev/pandas/blob/9019582c45d17035098941a666a8b6072c13a357/pandas/tests/indexes/inter... | {
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"followers_url": "https://api.github... | 6 | 2018-11-01T08:51:38Z | 2018-11-06T10:13:18Z | 2018-11-06T03:55:31Z | CONTRIBUTOR | null | In the course of #22725, @WillAyd mentioned (about the `sep=None` in `Series.str.cat` being immediately overwritten by `sep = '' if sep is None else sep`):
> Not anything you need to change in this PR but if we just overwrite `None` here it would probably make more sense to change the default function signature to sim... | {
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```python
dataframe = pd.read_excel(
StringIO(self.file_stream), sheet, na_values=['undefined', 'NaN'], header=None, keep_default_na=False
)
```
#### Problem description
I'm trying to read a xls file with `read_excel()` method ... | {
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The documentation is lacking an explanation for the nrows paramater.
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.from_records.html | {
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```python
def from_file(path_or_url: str, amplification_peak: np.float64):
df = pd.read_csv(
path_or_url,
names=[TIMECODE, AMP_PEAK],
dtype={TIMECODE: np.float64, AMP_PEAK: np.float64}
)
```
where the URL is:
```
ht... | {
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```python
import pandas as pd
d = {'start_date': ['37:04.0', '55:20.0', '44:05.3', '43:41.7', '40:35.0', '26:14.4', '57:00.7', '18:53.8', '12:23.2', '48:33.2', '36:38.1', '29:35.7', '56:02.4', '27:41.4', '11:49.9', '17:36.6', '50:44.2', '36:36.1', '21:14.7']}... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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] | closed | false | null | [] | null | 3 | 2018-11-01T17:17:31Z | 2019-11-02T00:34:58Z | 2019-11-02T00:34:58Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
tmp = pd.Series(index=pd.date_range('2018-01-01 00:00', '2018-12-31 00:00', freq='1d'))
print(len(tmp['2018-09-04 00:00':'2018-09-06 00:00']))
print(len(tmp[pd.Timestamp('2018-09-04 00:00'):pd.Timestamp('2018-09-06 00:00')]))
pr... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```
>>> import pandas
>>> x = pandas.Series([1,2,3], index=['Date','b','other'])
>>> x
Date 1
b 2
other 3
dtype: int64
>>> from datetime import date
>>> x.Date = date.today()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python37\lib\s... | {
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... | 3 | 2018-11-01T21:39:02Z | 2020-10-03T18:17:08Z | 2020-10-03T18:17:08Z | NONE | null | #### Problem description
Categorical indexes where the individual values are of type interval produce bizarre results when reordered with `.reorder_categories`. This important because these indexes and columns are produced by `.cut`, so they occur in analysis even if the user never directly creates them.
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] | closed | false | null | [] | null | 1 | 2018-11-01T22:42:13Z | 2018-11-07T02:02:59Z | 2018-11-07T02:02:59Z | CONTRIBUTOR | null | As per title I imagine this is something we would like?
This [CI build](https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=2029&view=ms.vss-test-web.test-result-details) seems to have status green on Azure despite the fact tests seem to be failing on MacOS-35, or am I missing something?
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This should hopefully return a failed status on Azure | {
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```python
temperature_lst=
41485 177.40357149 -39.01654000 13.000 13.92 .0100 .2000 -1.02 .0100 .2000
41489 171.56518149 -42.94461000 743.000 7.29 .0100 .3333 .51 .0100 .3333
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JSON example
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e.g.
https://github.com/pandas-dev/pandas/blob/4f717551b8e49ecd978bb4f5a985d6f6a96d86e9/pandas/_libs/tslibs/timestamps.pyx#L646-L650
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Moreover, the indexing if the matrices seems to be inverted (oldest matrix coming first)
```python
gg = pd.DataFrame({'i1':np.random.randn(10),'i2': np.random.randn(10)})
gg.ewm(alpha = 0.1).cov()
#### Output
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https://api.github.com/repos/pandas-dev/pandas/issues/23460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23460/events | https://github.com/pandas-dev/pandas/pull/23460 | 376,884,618 | MDExOlB1bGxSZXF1ZXN0MjI3OTk0NTQ0 | 23,460 | BUG: Allow freq conversion from dt64 to period | {
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"followers_url": "https://api.github... | 2 | 2018-11-02T16:38:21Z | 2018-11-03T13:59:05Z | 2018-11-03T13:58:46Z | CONTRIBUTOR | null | Closes #23438
In the PeriodArray refactor, I disallowed changing freq when converting from datetime64 to period. I didn't realize that was supported.
cc @thequackdaddy, does this close all the issues you ran into? | {
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#### Code sample
```python
def demean_rename(x):
result = x - x.mean()
if isinstance(x, pd.Series):
return result
result = result.rename(columns=
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- [x] closes #23511
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
When setting a timedelta column in a dataframe using `pd.Series` or array as index, there is some rounding error because the underlying TimeDeltaBlock is... | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/23466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23466/events | https://github.com/pandas-dev/pandas/pull/23466 | 376,986,824 | MDExOlB1bGxSZXF1ZXN0MjI4MDczODA5 | 23,466 | API: Make Categorical.searchsorted returns a scalar when supplied a scalar | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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``Categorical.searchsorted`` returns the wrong shape for scalar input. Numpy arrays and all other array types return a scalar if the input is a scalar, but ``Categorical`` does ... | {
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```python
df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]},
index = [pd.Timestamp('20130101 09:00:00'),
pd.Timestamp('20130101 09:00:02'),
pd.Timestamp('20130101 09:00:03'),
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https://api.github.com/repos/pandas-dev/pandas/issues/23468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23468/events | https://github.com/pandas-dev/pandas/pull/23468 | 376,995,406 | MDExOlB1bGxSZXF1ZXN0MjI4MDgwMzcx | 23,468 | TST: Fix dtype mismatch on 32bit in IntervalTree get_indexer test | {
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To address @jreback's comment in the xref:
> `.get_indexer` should be returning platform int - but it’s not ? (maybe just this case)
It looks like `IntervalTree.get_indexer` and any other similar `IntervalTree` methods (`get_loc`, `get_i... | {
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"followers_url": "https://api.github... | 2 | 2018-11-03T00:06:07Z | 2018-11-03T14:45:27Z | 2018-11-03T14:40:09Z | CONTRIBUTOR | null | Using astype(ordered..., categories=...) has been deprecated. This PR cleans a usage of this pattern in a doc string.
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https://api.github.com/repos/pandas-dev/pandas/issues/23470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23470/events | https://github.com/pandas-dev/pandas/issues/23470 | 377,022,087 | MDU6SXNzdWUzNzcwMjIwODc= | 23,470 | Feature suggestion: unnest function for pandas | {
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A small example to demonstrate the unnest function.
```
## Sample dataframe.
df = pd.DataF... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Original work from @JustinZhengBC in #22904. The remote branch does not exist anymore, and I need to create this new PR to rebase.
Merging on green. | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"followers_url": "https://api.github... | 2 | 2018-11-03T16:34:17Z | 2019-01-05T19:27:01Z | 2019-01-05T19:27:01Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
The following `to_XXX` do not work:
```python
df = pd.DataFrame([[1,1],[2,2]])
df.to_pickle('~/df.pkl')
df.to_json('~/df.json')
# etc.
```
#### Problem description
`to_XXX` do not work when the path argument includes a `~`. This may be fine, but it ... | {
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@datapythonista I'm not sure whether the grep check here belongs in the patterns section or in the non-python section. LMK if you have a preference. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23475/events | https://github.com/pandas-dev/pandas/issues/23475 | 377,094,435 | MDU6SXNzdWUzNzcwOTQ0MzU= | 23,475 | Clarify (or de-duplicate) to_offset vs Period._maybe_convert_freq | {
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Also it isn't clear that _maybe_convert_freq needs to be a class method, could just be a function. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23477 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23477/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23477/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23477/events | https://github.com/pandas-dev/pandas/pull/23477 | 377,103,420 | MDExOlB1bGxSZXF1ZXN0MjI4MTQ3Mjg3 | 23,477 | PERF: cython optimizations | {
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`arr.fill(val)` is a python call, while `arr[:]` is a C call, so replaced all of those
modernized an old non-python for-loop, some other small cleanups along the way.
We're running out of available optimi... | {
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```python
import numpy as np
import pandas as pd
from itertools import combinations
columns_list = [
pd.MultiIndex.from_product([['a'], range(2)]),
pd.MultiIndex.from_product([['a'], np.arange(2.)]),
pd.MultiIndex.from_product([['b'], ['A', ... | {
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"followers_url": "https://api.github... | 3 | 2018-11-04T05:53:47Z | 2018-11-04T16:50:39Z | 2018-11-04T15:16:56Z | MEMBER | null | - [x] closes #21761
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
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Next step would be to make the script ready to be used in the CI, so we can fail when there are validation errors in the changes to a docstring.
The main change... | {
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closes #23409
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https://api.github.com/repos/pandas-dev/pandas/issues/23483 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23483/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23483/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23483/events | https://github.com/pandas-dev/pandas/issues/23483 | 377,127,788 | MDU6SXNzdWUzNzcxMjc3ODg= | 23,483 | DOC: Validate space before colon in the parameters section of the docstrings | {
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"followers_url": "https://api.github... | 0 | 2018-11-04T07:10:19Z | 2018-11-15T05:50:12Z | 2018-11-15T05:50:12Z | MEMBER | null | In the docstrings, parameters are documented like this:
```
Parameters
----------
name : str
The name of the person.
```
It is common that the space before the colon is not present, and in that case `validate_docstrings.py` reports:
- `Parameter "name: str" has no type`
Which is confusing, and new cont... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23484 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23484/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23484/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23484/events | https://github.com/pandas-dev/pandas/pull/23484 | 377,131,119 | MDExOlB1bGxSZXF1ZXN0MjI4MTYzMzQ4 | 23,484 | BUG: Fix of handle missing CSV MI column names | {
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"followers_url": "https://api.github... | 4 | 2018-11-04T09:06:22Z | 2018-11-07T06:15:34Z | 2018-11-06T13:08:14Z | MEMBER | null | De-hackifies this hack:
https://github.com/pandas-dev/pandas/blob/d78bd7a65f87022bae5021d36c8656c0ea5a7b76/pandas/io/parsers.py#L3206-L3211
Setup:
~~~python
from pandas.compat import StringIO
from pandas import read_csv
data = ",,col\na,c,1\na,d,2\nb,c,3\nb,d,4"
print(read_csv(StringIO(data), index_col=[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23485 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23485/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23485/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23485/events | https://github.com/pandas-dev/pandas/pull/23485 | 377,133,474 | MDExOlB1bGxSZXF1ZXN0MjI4MTY0ODEx | 23,485 | TST: Add test for mangling of unnamed columns | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23486 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23486/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23486/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23486/events | https://github.com/pandas-dev/pandas/pull/23486 | 377,133,564 | MDExOlB1bGxSZXF1ZXN0MjI4MTY0ODY1 | 23,486 | Fixing typo in cython casting lint, and making it azure friendly | {
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Fixing typo introduced in #23474, when validating the spaces in casts in the cython code.
The original grep command used was:
`grep -r -E --include '*.pyx' --include '*.pxi.in' '> ' pandas/_libs | grep -v '[ ->]> ' `
If I'm not mistaken, the goal of `grep -v '[ ->]> '` was to exclude from the i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23488 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23488/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23488/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23488/events | https://github.com/pandas-dev/pandas/issues/23488 | 377,140,252 | MDU6SXNzdWUzNzcxNDAyNTI= | 23,488 | DOC: Detect whether a Returns section is needed in validate_docstrings.py | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2018-11-04T10:39:36Z | 2019-03-11T12:02:04Z | 2019-03-11T12:02:04Z | MEMBER | null | One of the validations performed in the docstrings in `validate_docstrings.py` is whether a `Returns` section is present. So far we just check if the `return` word exist in the source code, and if it does, we generate an error if the docsting does not have the documentation section.
But this causes false positives, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23489/events | https://github.com/pandas-dev/pandas/issues/23489 | 377,144,262 | MDU6SXNzdWUzNzcxNDQyNjI= | 23,489 | Stale Bot for Old Issues and PR's? | {
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cc @pandas-dev/pandas-core
(looking at you @jreback in particular, given the herculean task you periodically undertake of closing and pinging stale PR's for further work or rebasing)
xref [PR Management Email Chain](https://groups.google.com/forum/?utm_medium=email&utm_sou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23490/events | https://github.com/pandas-dev/pandas/issues/23490 | 377,177,340 | MDU6SXNzdWUzNzcxNzczNDA= | 23,490 | BUG: pd.concat with all Series on axis=1 ignores the `names` argument. | {
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"followers_url": "https://api.github... | 2 | 2018-11-04T17:53:54Z | 2018-11-06T17:58:02Z | 2018-11-06T17:58:02Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# Example 1
s = pd.Series([1, 2, 3])
df = pd.concat([s, s], axis=1, keys=['a', 'b'], names=['Test'])
df.columns.names # this gives back FrozenList([None]) instead of FrozenList(['Test'])
# Example 2
df = pd.concat([s, s], axis=1, keys=[('a'... | {
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```
dti = pd.date_range('2016-01-01', periods=3, tz='US/Central')
>>> pd.Index(dti, dtype=object)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/base.py", line 294, in __new__
dtype=dtype, **kwargs)
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https://github.com/pandas-dev/pandas/pull/23471/checks?check_run_id=28679218
But in Azure, the job is actually finished:
https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=2351&view=logs
Is there anyt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23493 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23493/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23493/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23493/events | https://github.com/pandas-dev/pandas/pull/23493 | 377,182,439 | MDExOlB1bGxSZXF1ZXN0MjI4MTk1MTEx | 23,493 | REF/ENH: Constructors for DatetimeArray/TimedeltaArray | {
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As discussed elsewhere, adds `dtype` to `PeriodArray.__init__`
@TomAugspurger can you confirm that the `_from_sequence`s implemented here handle the right cases? It wasn't obvious if ob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23494 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23494/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23494/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23494/events | https://github.com/pandas-dev/pandas/issues/23494 | 377,186,561 | MDU6SXNzdWUzNzcxODY1NjE= | 23,494 | DOC: Fix docstrings of Excel related functions | {
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"followers_url": "https://api.github... | 1 | 2018-11-04T19:39:28Z | 2018-12-31T23:26:30Z | 2018-12-31T23:26:30Z | MEMBER | null | The next Excel related functions contain many errors as reported by `scripts/validate_docstrings.py`:
- pandas.read_excel
- pandas.io.formats.style.Styler.to_excel
- Series.to_excel
- DataFrame.to_excel
We should fix them, following our standards: https://pandas.pydata.org/pandas-docs/stable/contributing_docstri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23495 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23495/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23495/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23495/events | https://github.com/pandas-dev/pandas/pull/23495 | 377,186,668 | MDExOlB1bGxSZXF1ZXN0MjI4MTk3Nzkx | 23,495 | BUG GH23451 Allow setting date in string index for Series | {
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"followers_url": "https://api.github... | 7 | 2018-11-04T19:40:36Z | 2018-11-06T13:08:50Z | 2018-11-06T13:08:47Z | CONTRIBUTOR | null | - [X] closes #23451
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Prevents string indices from turning into lists of characters when setting a date.
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- pandas.read_table
- pandas.read_csv
- pandas.read_fwf
We should fix them, following our standards: https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html
The validation script should not re... | {
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"followers_url": "https://api.github... | 4 | 2018-11-04T20:35:57Z | 2018-11-06T01:49:42Z | 2018-11-06T01:49:39Z | CONTRIBUTOR | null | When running `ci/code_checks.sh` on a local repository that has also been used to run `asv` benchmarks, `flake8` also lints the environments created. This massively increases the runtime and leads to linting errors on non-`pandas` packages, which is not informative.
This change simply adds `env` to the `flake8` excl... | {
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#15559 has been rearing its head again. Turns out the reason for the timeout is one silly, missing parenthesis in the `groupby.rst` docs (that was the cause as well in #15506). 😆
Follow-up to #23394. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23499/events | https://github.com/pandas-dev/pandas/pull/23499 | 377,200,217 | MDExOlB1bGxSZXF1ZXN0MjI4MjA2NDMw | 23,499 | BUG - pd.concat with all Series on axis=1 ignores the `names` argument (Issue: 23490) | {
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"followers_url": "https://api.github... | 5 | 2018-11-04T22:07:40Z | 2018-11-06T17:58:11Z | 2018-11-06T17:58:03Z | CONTRIBUTOR | null | - [x] closes #23490
- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Fix issue described in #23490, and add tests to catch this case. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23500/events | https://github.com/pandas-dev/pandas/pull/23500 | 377,205,485 | MDExOlB1bGxSZXF1ZXN0MjI4MjA5ODgw | 23,500 | WIP: speed up Period creation | {
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```
Benchmarks that have improved:
before after ratio
[24ab22f7] [d7cef344]
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https://api.github.com/repos/pandas-dev/pandas/issues/23501 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23501/events | https://github.com/pandas-dev/pandas/pull/23501 | 377,205,758 | MDExOlB1bGxSZXF1ZXN0MjI4MjEwMDUw | 23,501 | STYLE: Run Isort on tests-> util, series, arrays | {
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- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Run `isort` on some leftover files from `tests/util`, `tests/arrays` and `tests/series`.
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Fix some problems in DatetimeArray comparison methods, with tests
Implement assert_datetime_array_equal, still need to do the same for TimedeltaArray
Extend fixtures to allow us to run some of the arithmetic tests on PeriodArray, DatetimeArray. Change a few usages... | {
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Addresses failed validations from validate_docstrings.py in pandas.read_excel
First open source pull request! Looking to improve. | {
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@jbrockmendel @TomAugspurger | {
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"followers_url": "https://api.github... | 4 | 2018-11-05T13:02:57Z | 2018-12-02T18:09:11Z | 2018-12-02T18:09:11Z | CONTRIBUTOR | null | With PR #23381 `flake8_rst` will get merged allowing to have the `flake8` checks being run on code inside `*.rst` files within `doc/source` subfolder.
In order to make the `./ci/code_shecks.sh` script used by travis working, I had to ignore all `F821 undefined name` errors. @datapythonista and I had a brief discussi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23509 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23509/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23509/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23509/events | https://github.com/pandas-dev/pandas/issues/23509 | 377,442,587 | MDU6SXNzdWUzNzc0NDI1ODc= | 23,509 | C error: Buffer overflow caught on CSV with chunksize | {
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 29 | 2018-11-05T15:11:49Z | 2018-11-12T13:13:00Z | 2018-11-12T13:13:00Z | NONE | null | #### Code Sample
This will create the error, but it is slow. I recommend [downloading the file directly](https://github.com/pandas-dev/pandas/files/2548189/debug.txt).
```python
import pandas
filename = 'https://github.com/pandas-dev/pandas/files/2548189/debug.txt'
for chunk in pandas.read_csv(filename, chunk... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23510/events | https://github.com/pandas-dev/pandas/issues/23510 | 377,450,584 | MDU6SXNzdWUzNzc0NTA1ODQ= | 23,510 | to_sql method turns datetime64 index to time zone aware in postgres | {
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"followers_url": "https://api.github... | 5 | 2018-11-05T15:29:13Z | 2018-11-08T14:55:50Z | 2018-11-08T14:55:50Z | NONE | null | I have a `pandas` `Dataframe` with an index which is of type `datetime64[ns]`.
when I use the `to_sql` method i expect the index to be created as a `timestamp` postgres column, however it is creates a `timestamptz` column.
Note that when the `datetime64[ns]` column is not an index but rather a normal column, this d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23511/events | https://github.com/pandas-dev/pandas/issues/23511 | 377,455,398 | MDU6SXNzdWUzNzc0NTUzOTg= | 23,511 | BUG: Setting timedelta column by index causes it to loss precision | {
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"followers_url": "https://api.github... | 0 | 2018-11-05T15:39:34Z | 2018-11-05T19:15:01Z | 2018-11-05T19:15:01Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
dt1 = pd.Timedelta(0)
dt2 = pd.Timedelta(28767471428571405)
df = pd.DataFrame({'dt': pd.Series([dt1, dt2])})
df_copy = df.copy()
s = pd.Series([dt1])
expected = df['dt'].iloc[1].value
df.loc[[True, False]] = s
result = df['dt'].iloc[1].value
... | {
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