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https://api.github.com/repos/pandas-dev/pandas/issues/24012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24012/events | https://github.com/pandas-dev/pandas/issues/24012 | 386,168,794 | MDU6SXNzdWUzODYxNjg3OTQ= | 24,012 | Development conda environment taking >45 minutes to solve | {
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] | closed | false | null | [] | null | 7 | 2018-11-30T12:31:25Z | 2018-12-01T12:09:44Z | 2018-12-01T12:09:44Z | MEMBER | null | When creating a new environment from our `environment.yml`, it takes more than 45 minutes to solve (one of the steps of the environment creation). This happens both locally, and in the CI of #22854, which uses that file for one of the builds.
```
2018-11-30T03:02:59.3313236Z [create env]
2018-11-30T03:49:30.352790... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [n/a] whatsnew entry
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```python
# Minimal example:
import pandas as pd
df = pd.Series([0,1,pd.np.nan,3,4])
df.interpolate(method='spline')
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "D:\venvs\food_and_drinking\lib\site-packages\pandas\core\g... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Conda is taking 45 minutes to create an environment with our `environment.yml`. While this is a bug in conda, it won't be fixed until the next version. So, a workaround for now ... | {
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] | closed | false | null | [] | null | 4 | 2018-11-30T14:59:10Z | 2018-11-30T16:55:24Z | 2018-11-30T16:54:55Z | NONE | null | I want to aggregate my dataframe by id and this is not the first time I came across this error, which is basically happening because it seems not to be allowed to return a numpy array in the aggregation function.
There are dozens of use cases, where rows are aggregated to numpy arrays and wrapping it with a list does ... | {
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```python
import pandas as pd
# a base data series to work on
base_sr = pd.Series((c for c in 'ABCDEFG'))
# the replacement rules: from -> to
repl_d = {'A': 'C',
'B': 'C',
'C': 'D',
'D': 'F',
'E': 'D',
'F': 'C',
'G': 'C', }
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Code is copied from [Styling](https://pandas.pydata.org/pandas-docs/stable/style.html).
```python
np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))], axis=1)
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 3 | 2018-11-30T17:31:30Z | 2020-10-14T10:09:22Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
a = pd.Series([1e5, 0, 0, 0, 0])
b = pd.Series([9.45] * 5)
c1 = a.rolling(5).corr(b).iloc[4]
c2 = a.corr(b)
v1 = a.rolling(5).cov(b).iloc[4]
v2 = a.cov(b)
assert c1 == c2
assert v1 == v2
```
#### Problem ... | {
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```python
In [5]: a = pd.Series([1, 2])
In [6]: a[0] = 'a'
In [7]: a
Out[7]:
0 a
1 2
dtype: object
```
This typically won't work for ExtensionArrays:
```python
In [8]: b = pd.Series([1, 2], dtype='Int64')
In [9]: b[0] ... | {
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- [x] tests added / passed (see https://github.com/AlexandreDecan/pandas/blob/fix-24011/pandas/tests/tslibs/test_tslib.py#L26)
- [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/24022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24022/events | https://github.com/pandas-dev/pandas/issues/24022 | 386,291,364 | MDU6SXNzdWUzODYyOTEzNjQ= | 24,022 | type integrity failure astype vs read_csv | {
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] | closed | false | null | [] | null | 6 | 2018-11-30T18:00:47Z | 2020-01-24T07:11:20Z | 2020-01-24T07:11:11Z | NONE | null | I'm having a problem with pandas where dataframes loaded from csv seem to revert to their origional dtypes when I set their indexes after processing. Look at this:
```
#Both these dicts contain columns and column types. They are the same
# except for two records - dtypesA lists columns ('ga:date', 'ga:minute')
#... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24023/events | https://github.com/pandas-dev/pandas/pull/24023 | 386,313,696 | MDExOlB1bGxSZXF1ZXN0MjM1MDg2OTAz | 24,023 | PERF: Use Categorical.equals in CategoricalIndex.equals | {
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"followers_url": "https://api.github... | 3 | 2018-11-30T19:11:14Z | 2018-11-30T21:32:51Z | 2018-11-30T21:32:49Z | CONTRIBUTOR | null | Avoids a materialization of the full array.
```python
import pandas as pd
import numpy as np
import string
a = pd.CategoricalIndex(np.random.choice(list(string.ascii_letters[:10]), 100_000))
b = a.copy()
c = pd.CategoricalIndex(np.random.choice(list(string.ascii_letters[:10]), 100_000))
print("eq-index"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24024/events | https://github.com/pandas-dev/pandas/pull/24024 | 386,337,253 | MDExOlB1bGxSZXF1ZXN0MjM1MTA1NDMw | 24,024 | REF: DatetimeLikeArray | {
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- [x] DatetimeLikeArrayMixin.astype(int) ignores sign and size?
- [ ] _from_sequence too permissive?
- [x] OK with DatetimeArray.view?
- [x] tz vs. dtype in `DatetimeArray.__init__`: https://github.com/pandas-dev/pandas/pull/24024#discussion_r241445450
- [ ] Index._simple_new consistency: https://github.co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24025/events | https://github.com/pandas-dev/pandas/issues/24025 | 386,370,707 | MDU6SXNzdWUzODYzNzA3MDc= | 24,025 | Add columns-parameter like in feather.read_dataframe | {
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"followers_url": "https://api.github... | 2 | 2018-11-30T22:15:33Z | 2018-12-04T12:23:53Z | 2018-12-04T12:23:53Z | NONE | null | Wes suggested to raise this feature request here again, after I wondered why `pandas.read_feather` is lacking a `columns`-parameter like the [`feather-format`](https://github.com/wesm/feather) package has it.
You can read in only a subset of columns from a feather-file with e.g.:
`df = feather.read_dataframe('df_t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24027/events | https://github.com/pandas-dev/pandas/pull/24027 | 386,382,423 | MDExOlB1bGxSZXF1ZXN0MjM1MTQwNjk1 | 24,027 | BUG: Fix concat series loss of timezone | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24028/events | https://github.com/pandas-dev/pandas/issues/24028 | 386,398,848 | MDU6SXNzdWUzODYzOTg4NDg= | 24,028 | CI: Use all available cores in the CI | {
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... | 9 | 2018-12-01T00:34:14Z | 2020-09-24T09:59:57Z | 2020-09-24T09:59:57Z | MEMBER | null | If I'm not wrong, both Travis and Azure provide two cores for the execution of jobs (I think in both cases the number does not necessarily need to be 2, and could be higher, or I guess lower, depending on their load).
So far we are just parallelizing the execution of tests, where we are using 2 processes in most cas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24029/events | https://github.com/pandas-dev/pandas/pull/24029 | 386,403,778 | MDExOlB1bGxSZXF1ZXN0MjM1MTU3MDI0 | 24,029 | TST: Check error message in overlapping bins test | {
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xref #23922.
cc @jschendel @charlesdong1991 | {
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... | [] | closed | false | null | [] | null | 4 | 2018-12-01T01:27:34Z | 2018-12-05T23:11:31Z | 2018-12-01T11:17:04Z | MEMBER | null | Publishing the docs from azure only works for changes that do not come from a fork. This PR is from a branch in the same pandas repo, to test that publishing works. But once confirmed that the publishing works, I'll close it, and the changes will be merged in #22854. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24031/events | https://github.com/pandas-dev/pandas/pull/24031 | 386,406,463 | MDExOlB1bGxSZXF1ZXN0MjM1MTU4NjA0 | 24,031 | PERF: do NPY_NAT check inside get_datetime64_nanos | {
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"followers_url": "https://api.github... | 3 | 2018-12-01T01:27:55Z | 2018-12-02T16:41:05Z | 2018-12-02T16:40:14Z | MEMBER | null | Bonus of a little simplification in `array_to_datetime`
The perf pickup comes from changing a python call `ts.view('i8')` to a cython call `get_datetime64_value(ts)`.
```
In [3]: val = np.datetime64('NaT', 'D')
In [4]: %timeit pd.Timestamp(val)
```
master (leaving out "The slowest run [...]"
```
100000 lo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24032/events | https://github.com/pandas-dev/pandas/pull/24032 | 386,411,481 | MDExOlB1bGxSZXF1ZXN0MjM1MTYyMTE2 | 24,032 | REF: Move non-raising parts of array_to_datetime outside of try/except | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24033/events | https://github.com/pandas-dev/pandas/issues/24033 | 386,434,584 | MDU6SXNzdWUzODY0MzQ1ODQ= | 24,033 | Should our custom DTypes have a __len__ ? | {
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] | closed | false | null | [] | null | 3 | 2018-12-01T07:46:59Z | 2021-06-23T05:03:18Z | 2021-06-23T05:03:18Z | MEMBER | null | This came up in https://github.com/scikit-learn/scikit-learn/issues/12699.
Numpy dtypes have a lenght defined. For normal dtypes, this is 0:
```
In [21]: len(np.dtype('int64'))
Out[21]: 0
```
but for structured dtypes this is the number of fields.
For our custom dtypes, you get a TypeError:
```
In [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24034/events | https://github.com/pandas-dev/pandas/pull/24034 | 386,444,744 | MDExOlB1bGxSZXF1ZXN0MjM1MTg0NjQw | 24,034 | ENH: Add columns argument to read_feather() (#24025) | {
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"followers_url": "https://api.github... | 7 | 2018-12-01T10:16:11Z | 2018-12-04T12:25:45Z | 2018-12-04T12:23:53Z | CONTRIBUTOR | null | - [x] closes #24025
- [x] tests added / ~~passed~~
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I have added test case but when running
```
pytest pandas/tests/io/test_feather.py
```
test cases (including some of already existing test cases) fails with error
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https://api.github.com/repos/pandas-dev/pandas/issues/24035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24035/events | https://github.com/pandas-dev/pandas/issues/24035 | 386,448,444 | MDU6SXNzdWUzODY0NDg0NDQ= | 24,035 | Python3: Adding multicolumn rows in empty dataframe | {
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] | closed | false | null | [] | null | 4 | 2018-12-01T11:09:16Z | 2018-12-02T23:14:25Z | 2018-12-01T12:54:31Z | NONE | null | #### My Code
import pandas as pd
data = pd.read_csv('input_file', header = None, delimiter="\t", names = ['chr', 'sTSS', 'eTSS', 'gene', 'clust1', 'clust2'])
row_filter_column_clust2_1 = pd.DataFrame(columns = data.columns, index=data.index)
row_filter_column_clust2_1.append(data.loc[0]) #Row is not appended
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https://api.github.com/repos/pandas-dev/pandas/issues/24036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24036/events | https://github.com/pandas-dev/pandas/issues/24036 | 386,461,526 | MDU6SXNzdWUzODY0NjE1MjY= | 24,036 | Clarify how to cite pandas in scientific papers | {
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... | 31 | 2018-12-01T14:07:55Z | 2021-08-25T11:36:29Z | 2021-06-23T05:05:52Z | NONE | null | Dear developers,
first thank you for your great work.
I'd like to reference my use of pandas in my scientific work, but have been unable to find a recommendation how to cite this.
I'm aware of https://pandas.pydata.org/talks.html, but the "papers" seem to refer to conference proceedings (slides) that lack a publis... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24037/events | https://github.com/pandas-dev/pandas/pull/24037 | 386,479,506 | MDExOlB1bGxSZXF1ZXN0MjM1MjA2NzI1 | 24,037 | DOC: Improve "inplace" param in Dataframe.rename() docs | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24038/events | https://github.com/pandas-dev/pandas/pull/24038 | 386,493,733 | MDExOlB1bGxSZXF1ZXN0MjM1MjE1OTcy | 24,038 | REF: Refactor Date/TimeLikeOps | {
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"followers_url": "https://api.github... | 8 | 2018-12-01T20:16:55Z | 2018-12-03T12:29:23Z | 2018-12-02T16:56:51Z | CONTRIBUTOR | null | No real functional changes, just an inheritance reorganization to make the diff at #24024 smaller.
Changes:
- Removes DatelikeOps from PeriodIndex (already had strftime via delegation)
- Moves Date/TimelikeOps from DatetimeIndex to DatetimeArray
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PeriodArray, without any actual changes yet. This is split
from #24024, where DatetimeIndex and TimedeltaIndex will
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- [ ] tests added / passed
Removing the types from these array declarations because the MacPython 32 bit build was failing.
cc @jreback | {
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I suggest adding a timezone parameter to these functions to clearly specify which time zone the requested time belongs to. The sampler should take into account the time zone of data frame, and the supplied time zone.
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```
import pandas as pd
>>> idx = pd.Index(['a', 'b', 'c'])
>>> idz = pd.Index(['d', 'e', 'f'])
>>> idx.str.cat(idz, join='left')
Float64Index([nan, nan, nan], dtype='float64')
``` | {
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The main issue (for @jreback) is that `df.set_... | {
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24049/events | https://github.com/pandas-dev/pandas/pull/24049 | 386,574,204 | MDExOlB1bGxSZXF1ZXN0MjM1MjY4MzY1 | 24,049 | REF: array_to_datetime catch overflows in one place | {
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```
if A:
try:
foo(...)
except OutOfBoundsDatetime:
handle(...)
elif B:
try:
bar(...)
except OutOfBoundsDatetime:
handle(...)
...
```
to:
```
try:
if A:
foo(...)
elif B:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24050/events | https://github.com/pandas-dev/pandas/pull/24050 | 386,584,630 | MDExOlB1bGxSZXF1ZXN0MjM1Mjc1MDkw | 24,050 | DEPR: deprecate default of skipna=False in infer_dtype | {
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- [x] tests adapted / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I know that `v.0.22` is generally not counted towards the "3 major releases between warning and deprecation" policy, but since this is a private method, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24051/events | https://github.com/pandas-dev/pandas/pull/24051 | 386,585,079 | MDExOlB1bGxSZXF1ZXN0MjM1Mjc1Mzgw | 24,051 | DOC: Stop ignoring fixed rst files in flake8-rst | {
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- [ ] tests added / passed
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Removing from the list of ignored files in flake8-rst, the pages that have been fixed before the ignore list was merged. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24052/events | https://github.com/pandas-dev/pandas/pull/24052 | 386,595,728 | MDExOlB1bGxSZXF1ZXN0MjM1MjgyNDE2 | 24,052 | DOC: Fix PEP-8 issues in io.rst | {
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for this pass:
- the Test classes have been removed.
- `catch_warnings` used for the `.ix` deprecation replaced with `@pytest.mark.filterwarnings("ignore:\\n.ix:DeprecationWarning")` at test level.
cc @jreback @gfyoung | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24055/events | https://github.com/pandas-dev/pandas/issues/24055 | 386,612,973 | MDU6SXNzdWUzODY2MTI5NzM= | 24,055 | Python3: How to split the tuple generated by the .groupby function in pandas | {
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data = pd.read_csv('input_file', header = None, delimiter="\t", names = ['chr', 'sTSS', 'eTSS', 'gene', 'clust1', 'clust2'])
dup_clust2 = data.groupby('clust2').filter(lambda x: len(x) > 1)
for element in dup_clust2.groupby('clust2'):
print(element)
####Required Output:
split tuple in two l... | {
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- [x] closes #23063
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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... | 5 | 2018-12-03T00:04:00Z | 2019-10-21T19:34:22Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> idx = pd.date_range('2012-1-1', periods=20)
>>> data = np.random.rand(len(idx))
>>> data[5] = np.nan
>>> s = pd.Series(data, idx)
>>> s.rolling('5D').size()
AttributeError: 'Rolling' object has no attribute 'size'
# no error with `agg`, b... | {
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The right order of the sections is the defined by the numpydoc standard: https://numpydoc.readthedocs.io/en/latest/format.html#sections
Checking for errors in pandas `Series` attributes, we find many ca... | {
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```
def foo():
"""
Summary of the docstring.
Returns
-------
str
Explaining what is being returned.
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[Open PRs](https://github.com/pandas-dev/pandas/pulls?q=is%3Aopen+is%3Apr+milestone%3A0.24.0)
[Open Issues](https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+milestone%3A0.24.0)
Let's whittle down. I just looked the lastest whatsnew and its huge. Let's get this out sooner rather t... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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@jreback can you take a look and let me know if you're happy with the way I'm deprecating ``inplace=True`` here? I need to repeat the same lots of time, so would be nice to have a... | {
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... | 3 | 2018-12-03T12:31:10Z | 2020-05-22T03:30:32Z | null | CONTRIBUTOR | null | followup to https://github.com/pandas-dev/pandas/pull/24038, blocked by #24024.
Once #24024 we should move the majority of the tests hitting Date/TimelikeOps over to using the array class, and then have a few tests ensuring that the index index wrapping still works. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24066/events | https://github.com/pandas-dev/pandas/issues/24066 | 386,818,842 | MDU6SXNzdWUzODY4MTg4NDI= | 24,066 | DOC: Added array section for DatetimeArray | {
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Need to add a section to api.rst about DatetimeArray, TimedeltaArray, and DatetimeTZDtype. | {
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... | 0 | 2018-12-03T13:38:01Z | 2019-07-15T17:11:32Z | 2019-07-15T17:11:32Z | CONTRIBUTOR | null | Seems like the developer methods like `_values_for_facotrize` are excluded from autodoc.
http://pandas-docs.github.io/pandas-docs-travis/generated/pandas.api.extensions.ExtensionArray.html#pandas.api.extensions.ExtensionArray
We should be able to explicitly list out the methods / attributes that are public.
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https://api.github.com/repos/pandas-dev/pandas/issues/24068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24068/events | https://github.com/pandas-dev/pandas/issues/24068 | 386,848,586 | MDU6SXNzdWUzODY4NDg1ODY= | 24,068 | DOC: Make _field_accessor manage the docstring format | {
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In some cases the docstrings are generated dynamically, and in the case of `_field_accessor`, we have to write some line breaks to avoid the validation... | {
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- [x] closes #23109
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"""
Summary of the docstring.
Returns
-------
str
Explaining what is being returned.
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"""
Summary of the docstring.
Returns
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- [ ] tests added / passed
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- [x] tests modified / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
There are two boto tests that are not using the dedicated `s3_resource` fixture which takes care of all the mocking etc. This PR adapts those tests accordingly, which also allows unified t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24075/events | https://github.com/pandas-dev/pandas/pull/24075 | 386,953,640 | MDExOlB1bGxSZXF1ZXN0MjM1NTUyMzg5 | 24,075 | CI/TST: Making ci/run_tests.sh fail if one of the steps fail | {
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"followers_url": "https://api.github... | 14 | 2018-12-03T18:47:14Z | 2018-12-04T11:43:25Z | 2018-12-04T11:21:40Z | MEMBER | null | Looks like when simplifying the running of the tests in the CI (#23924), I missed the `-e` in the bash header. And that makes the `ci/run_tests.sh` exit with status code 0, even if the calls to pytests fail.
This left the CI in green, even when tests fail for the last 3 days (sorry about that). I think nothing is br... | {
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```python
# Your code here
import numpy as np
import pandas as pd
idx = pd.DatetimeIndex(start='2018-12-02 14:50:00-07:00', end='2018-12-03 03:11:00-07:00', freq='1min')
df = pd.DataFrame(np.random.randn(len(idx), 1), index=idx, columns=['A'])
df['201... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24077/events | https://github.com/pandas-dev/pandas/issues/24077 | 386,991,931 | MDU6SXNzdWUzODY5OTE5MzE= | 24,077 | Support ExtensionArray types in where | {
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"followers_url": "https://api.github... | 1 | 2018-12-03T20:29:38Z | 2018-12-10T15:21:08Z | 2018-12-10T15:21:08Z | CONTRIBUTOR | null | This is blocking DatetimeArray. It's also a slight regression from 0.24, since things like `.where` on a DataFrame with period objects would work (via object dtype).
I think the easiest place for this is by defining `ExtensionBlock.where`, and restricting it to cases where the dtype of `self` and `other` match (so t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24078/events | https://github.com/pandas-dev/pandas/pull/24078 | 387,023,206 | MDExOlB1bGxSZXF1ZXN0MjM1NjA2MTEz | 24,078 | BUG: to_datetime with unit mapping ignores utc and box arguments | {
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... | closed | false | null | [] | null | 5 | 2018-12-03T21:56:09Z | 2018-12-03T23:09:58Z | 2018-12-03T23:03:31Z | NONE | null | - [ ] closes #23760
- [ ] 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/24079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24079/events | https://github.com/pandas-dev/pandas/issues/24079 | 387,040,846 | MDU6SXNzdWUzODcwNDA4NDY= | 24,079 | DataFrame.fillna() fails with categorical columns present when trying to fill missing values in numeric columns with NaNs | {
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```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randint(0, 3, (3, 3)), columns=list('ABC')).astype(np.float32)
df.B.iloc[1] = None
df.A = df.A.astype('category')
df.fillna(-9999)
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https://api.github.com/repos/pandas-dev/pandas/issues/24080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24080/events | https://github.com/pandas-dev/pandas/pull/24080 | 387,044,914 | MDExOlB1bGxSZXF1ZXN0MjM1NjIzMDQx | 24,080 | remove calls to DataFrame.consolidate in benchmarks | {
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"followers_url": "https://api.github... | 2 | 2018-12-03T23:03:31Z | 2018-12-09T18:48:42Z | 2018-12-04T02:51:03Z | CONTRIBUTOR | null | The ``DataFrame.consolidate`` method has been removed for 0.24 (in #23377), but there are still some calls to it in the asv benchmarks. I had a failure in #23752 because of this, so hereby a fix.
This PR uses the internal ``_consolidate`` method instead. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24081/events | https://github.com/pandas-dev/pandas/issues/24081 | 387,048,603 | MDU6SXNzdWUzODcwNDg2MDM= | 24,081 | TST: Implement lock decorator for single tests | {
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"d... | closed | false | null | [] | null | 6 | 2018-12-03T23:16:59Z | 2018-12-04T01:38:44Z | 2018-12-03T23:58:59Z | MEMBER | null | At the moment in the CI, for every build, we run our tests twice, one with a filter to run the tests marked as `single` (`@pytest.mark.single`) and the second one the ones NOT marked as `single` (we call them `multi`).
The reason for this, is that we usually run the tests in parallel (we can use 2 processes in the C... | {
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... | closed | false | null | [] | null | 6 | 2018-12-03T23:24:16Z | 2018-12-24T19:51:22Z | 2018-12-24T19:51:21Z | NONE | null | - [ ] closes #23760
- [ ] 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/24083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24083/events | https://github.com/pandas-dev/pandas/pull/24083 | 387,064,928 | MDExOlB1bGxSZXF1ZXN0MjM1NjM4Njkw | 24,083 | PERF: Define PeriodArray._values_for_argsort | {
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"followers_url": "https://api.github... | 4 | 2018-12-04T00:24:46Z | 2018-12-04T02:33:47Z | 2018-12-04T02:33:44Z | CONTRIBUTOR | null | This PR speeds up `.groupby()` and `.set_index()` operations involving a `PeriodArray` by 25-64x:
```
asv compare upstream/master HEAD -s --sort ratio
Benchmarks that have improved:
before after ratio
[08395af4] [696b40f1]
<period_array_argsort~1> <parse_time_str... | {
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When calling `Period._from_ordinal()`, the runtime is unfortunately dominated by a pair of import statements needed to pull in the global config settings `display.date_dayfirst` and... | {
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```python
In [3]: arr = np.array(['ab', 'bc', 'cd'], bytes)
In [4]: ar... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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**content of dataframe j**
_REFERENCIA FECHAPROGRAMA FECHAENVIO NECESIDAD_
0 81007104 2015-04-04 2016-01-04 1038.0
1 81007104 2015-04-11 2016-01-04 1281.0
4 81007104 2015-04-18 2016-01-04 1172.0
...
1228 81007104 ... | {
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```
=================================== FAILURES ===================================
_____________________ TestTSPlot.test_is_error_nozeroindex _____________________
[gw0] linux -- Python 3.6.6 /home/travis/miniconda3/envs/p... | {
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```python
import pandas as pd
pd.show_versions()
p_index = pd.PeriodIndex(["20181101 1100", "20181101 1200", "20181102 1300", "20181102 1400"], name='datetime', freq="B")
mi_series = pd.DataFrame([["A", "B", 1.0],
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https://api.github.com/repos/pandas-dev/pandas/issues/24093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24093/events | https://github.com/pandas-dev/pandas/issues/24093 | 387,344,839 | MDU6SXNzdWUzODczNDQ4Mzk= | 24,093 | Automatically keep categorical type on merge | {
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"description": "Concat, Merge/Join, Stac... | open | false | null | [] | null | 2 | 2018-12-04T15:36:45Z | 2020-06-28T23:14:28Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
dd1=pd.DataFrame({"a":pd.Series(["x"], dtype="category")})
dd2=pd.DataFrame({"a":pd.Series(["x", "y"], dtype="category")})
dd3=dd1.merge(dd2)
dd3.dtypes # categorical turns into object type
```
#### Problem description
It ... | {
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```python
td = pd.TimedeltaIndex(['00:00:00.059000', '00:00:00.156700'])
start_time = pd.Timestamp('2018-11-30 16:55:21-0700')
idx = start_time + td
# DatetimeIndex(['2018-11-30 23:55:21.059000', '2018-11-30 23:55:21.156700'], dtype='datetime64[ns]', freq... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24095/events | https://github.com/pandas-dev/pandas/pull/24095 | 387,371,462 | MDExOlB1bGxSZXF1ZXN0MjM1ODc0ODcw | 24,095 | CLN: remove unused import of warnings module | {
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This PR fixes that.
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https://api.github.com/repos/pandas-dev/pandas/issues/24096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24096/events | https://github.com/pandas-dev/pandas/pull/24096 | 387,407,221 | MDExOlB1bGxSZXF1ZXN0MjM1OTAyNzYz | 24,096 | BUG: fix mutation of DTI backing Series/DataFrame | {
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"followers_url": "https://api.github... | 9 | 2018-12-04T17:51:54Z | 2018-12-05T20:29:38Z | 2018-12-05T20:19:47Z | MEMBER | null | Fixes (at least some) verify_integrity bugs discussed in #24074.
- [x] closes #21907
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24097/events | https://github.com/pandas-dev/pandas/pull/24097 | 387,436,769 | MDExOlB1bGxSZXF1ZXN0MjM1OTI1NjAx | 24,097 | CLN: fix asv setup_cache() for groupby.AggFunctions benchmarks | {
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Simply fixing the typo leads to this rather surprising result where the single column benchmark is ~6x slower than the multi-column benchmark:
```
$ asv dev -b groupby.AggFunctions
· Discovering benchmarks
· Running 4 tota... | {
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numpydoc release
- Remove `numpydoc_use_blockquotes` parameter | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24099/events | https://github.com/pandas-dev/pandas/pull/24099 | 387,450,418 | MDExOlB1bGxSZXF1ZXN0MjM1OTM2MjY5 | 24,099 | DOC: Make _field_accessor manage the docstring format | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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The main thing this PR does is move helper func... | {
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] | closed | false | null | [] | null | 2 | 2018-12-04T21:23:09Z | 2019-05-05T17:40:07Z | 2019-05-05T17:40:07Z | NONE | null | I am using Mac OS 10.13.6, and everything runs smoothly for me. However, I was sent a screenshot from a client running the code on Windows, and he is hitting an `EOFError` .

This is the code i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24103/events | https://github.com/pandas-dev/pandas/issues/24103 | 387,507,585 | MDU6SXNzdWUzODc1MDc1ODU= | 24,103 | BUG: resample ignores 'kind' argument, always behaves like kind='datetime' | {
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... | open | false | null | [] | null | 1 | 2018-12-04T22:26:21Z | 2021-06-23T05:11:15Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
pd.show_versions()
index = pd.DatetimeIndex(["20181101 1100", "20181101 1200", "20181102 1300", "20181102 1400"], name='datetime')
df = pd.DataFrame(data=[["A", 1.4], ["B", 140.5], ["A", 1.6], ["B", 145.0]],
columns=["ONE", "TWO"],
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- [x] closes #22234, #18702
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff... | {
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The docstring did not describe the 'fill_value' parameter. This has been added, mostly reusing the wording in the summary part of the existing docstring.
- [x] closes #23960
- [ ] tests added / passed
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- Using `--dist=loadscope` instead of calling pytest twice to not run `single` tests in parallel
- Renaming `single` marker to `serial... | {
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I've been working on adding a `return_inverse` to `unique` since mid June (as fast as possible). I know that changing the return type of `Series.unique` is potentially a controversial issue, but I truly believe that this should ... | {
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```python
import datetime as dt
s = pd.Series([dt.date(2018,1,1), None, dt.date(2018,1,1)])
print(s.max()) # TypeError: '>=' not supported between instances of 'datetime.date' and 'float'
s1 = pd.to_datetime(s).dt.date
print(s1.max()) # TypeError: '>=' not supported between instances of 'datetime.date' and '... | {
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"followers_url": "https://api.github... | 2 | 2018-12-05T10:43:42Z | 2018-12-09T22:25:41Z | 2018-12-09T22:25:41Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
# Good case: a closed=left date_range call should return 'periods' - 1 entries
>>> pd.date_range(start='2018-01-01T00:00:01.000Z', end='2018-01-03T00:00:01.000Z', periods=2, closed='left')
DatetimeIndex(['2018-01-01 00:00:01+00:0... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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