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https://api.github.com/repos/pandas-dev/pandas/issues/26913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26913/events | https://github.com/pandas-dev/pandas/issues/26913 | 457,209,864 | MDU6SXNzdWU0NTcyMDk4NjQ= | 26,913 | Tracking issue for EA Series Operations Support | {
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The central claim: if we allow EAs to take on shapes (N, 1) and (1, N), then we can get some major simplifications in core.internals.
For the proof of concept I've made the Datetimelike arrays accept these shapes and updated ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26915/events | https://github.com/pandas-dev/pandas/issues/26915 | 457,230,197 | MDU6SXNzdWU0NTcyMzAxOTc= | 26,915 | Should Pandas adopt a naming convention for its protocol methods | {
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] | closed | false | null | [] | null | 6 | 2019-06-18T02:34:47Z | 2019-08-02T15:00:26Z | 2019-06-19T17:14:48Z | NONE | null | numpy has defined various protocol extensions over the years, and has consistently
named them with an array prefix, and "dunder" notation:
- `__array__`
- `__array_prepare__`, `__array_wrap__`, [Subclassing ndarray](http://docs.python.org/doc/numpy/user/basics.subclassing.html)
- `__aray_ufunc__` [NEP13](https://... | {
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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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"color": "006b7... | closed | false | null | [] | null | 5 | 2019-06-18T06:55:39Z | 2020-02-10T07:45:35Z | 2020-02-10T07:45:35Z | NONE | null | **Describe the bug**
Tables rendered in Jupyter Lab (likely also Jupyter Notebook), e.g. from pandas, do not use tabular numbers. This causes sorted columns to look unsorted and makes numbers harder to read and compare.
**To Reproduce**
Create a table like this:
<img width="299" alt="Screenshot 2019-06-14 at ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26919/events | https://github.com/pandas-dev/pandas/issues/26919 | 457,445,253 | MDU6SXNzdWU0NTc0NDUyNTM= | 26,919 | BUG: DataFrame(ndarray, dtype=..) does unsafe conversion | {
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```... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26920/events | https://github.com/pandas-dev/pandas/issues/26920 | 457,492,489 | MDU6SXNzdWU0NTc0OTI0ODk= | 26,920 | Lookback methods (rolling/ewm/etc.) should accept series instead of just int/float | {
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Per underlying stock asset, I utilize a homodyne discriminator derived from close prices which determines the appropriate lookback length for other indicators such as macd, smart volume, ehlers rsi, etc.
When I retrieve history on an asset, the data ar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26921/events | https://github.com/pandas-dev/pandas/issues/26921 | 457,500,347 | MDU6SXNzdWU0NTc1MDAzNDc= | 26,921 | pandas.DataFrame.plot error for time series data | {
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... | open | false | null | [] | null | 3 | 2019-06-18T14:00:13Z | 2020-05-31T08:18:13Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
idx = pd.date_range(start="2018", freq=pd.DateOffset(days=1), periods=2)
ts = pd.DataFrame({"A": [1, 2]}, idx)
ts.plot()
```
#### Problem description
I created the index of a time series using pd.date_range and provided the frequency as a `DateOffset` object.... | {
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] | open | false | null | [] | null | 2 | 2019-06-18T14:12:02Z | 2019-06-18T19:10:34Z | null | NONE | null | Google often drops me in specific documentation from a single release, rather than the stable reference. For example the google search [pandas groupby aggregate](https://www.google.com/search?safe=active&rlz=1C1CHBD_en-GBIE841IE842&ei=4eMIXbCFKaXD8gKrzJLoBg&q=pandas+groupby+aggregate&oq=pandas+groupby+aggregat&gs_l=psy... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26923/events | https://github.com/pandas-dev/pandas/pull/26923 | 457,511,195 | MDExOlB1bGxSZXF1ZXN0Mjg5MzA1MjMz | 26,923 | Calculate normalized freqs in value_counts correctly when bins is not None | {
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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/26924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26924/events | https://github.com/pandas-dev/pandas/issues/26924 | 457,512,284 | MDU6SXNzdWU0NTc1MTIyODQ= | 26,924 | DOC: Disallow crawlers in development docs | {
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Afaik we're currently not telling search engine which is the copy of the documentation they should be indexing. They seem to be smart enough, and they've been returning the right restults so far, but given ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26925/events | https://github.com/pandas-dev/pandas/issues/26925 | 457,520,817 | MDU6SXNzdWU0NTc1MjA4MTc= | 26,925 | Index dtype is changed to object after left join | {
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... | 11 | 2019-06-18T14:36:38Z | 2021-07-10T05:02:48Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
left = pd.DataFrame(
columns=['A'],
index=pd.Index([], name='id', dtype=np.int64)
)
right = pd.DataFrame(
[[5]],
columns=['B'],
index=pd.Index([42], name='id', dtype=np.int64)
)
res_idx_dtype = left.join(right).ind... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26926/events | https://github.com/pandas-dev/pandas/issues/26926 | 457,523,713 | MDU6SXNzdWU0NTc1MjM3MTM= | 26,926 | STY: use black | {
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... | 11 | 2019-06-18T14:41:47Z | 2019-07-07T11:23:58Z | 2019-07-07T11:23:58Z | CONTRIBUTOR | null | I have seen a number of other project adopt: https://pypi.org/project/black/, as well as use in my company.
This basically is a style formatter that plays nice with flake8 and is completely opionated, the only option is line-length. This is a good thing.
This would involve a one-time updating of code (though we c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26927/events | https://github.com/pandas-dev/pandas/issues/26927 | 457,549,865 | MDU6SXNzdWU0NTc1NDk4NjU= | 26,927 | Dataframe.mean with numeric_only=False results in error with strings | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 8 | 2019-06-18T15:28:57Z | 2021-11-13T17:32:21Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({
'A': [0, 1, 2], 'B': ['a', 'b', 'c'], 'C': [4, 5, 6]
})
df.mean(axis=0, numeric_only=False, skipna=False)
```
#### Problem description
Instead of outputting a `NaN` for a non-numeric column of strings ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26928/events | https://github.com/pandas-dev/pandas/issues/26928 | 457,591,064 | MDU6SXNzdWU0NTc1OTEwNjQ= | 26,928 | ENH: Add circular statistics methods for DataFrames and Series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26929/events | https://github.com/pandas-dev/pandas/issues/26929 | 457,608,165 | MDU6SXNzdWU0NTc2MDgxNjU= | 26,929 | BUG: DataFrame.shift with axis=1 shifts object columns to the next column with object dtype | {
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```python2.7
import pandas as pd
import StringIO
# Store the csv string in a variable
gps_string = """
"2010-01-12 18:00:00","$GPGGA","180439","7249.2150","N","11754.4238","W","2","10","0.9","-8.1","M","-12.4","M","","*57","","",""
"2010-01-12 17:30:00","$GPGGA","173439","7249.2160","N","... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26930/events | https://github.com/pandas-dev/pandas/issues/26930 | 457,609,179 | MDU6SXNzdWU0NTc2MDkxNzk= | 26,930 | CI: Write azure failed builds summary as a GitHub comment | {
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"description": "Continuo... | open | false | null | [] | null | 0 | 2019-06-18T17:35:19Z | 2021-07-10T05:04:16Z | null | MEMBER | null | I think it'd safe us a significant amount of time, if when a build fails, we get a nice github comment with the problems. The same idea as what pep8speaks does for linting, but for most things.
I think in some cases it'll save us from having to navigate to the logs (which in azure is even more complex than needed, s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26931/events | https://github.com/pandas-dev/pandas/pull/26931 | 457,679,198 | MDExOlB1bGxSZXF1ZXN0Mjg5NDM5MzI2 | 26,931 | DOC: Disallowing search engines in the development docs | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-06-18T20:25:05Z | 2019-06-19T08:20:58Z | 2019-06-18T23:57:08Z | MEMBER | null | - [X] closes #26924
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"d... | closed | false | null | [] | null | 11 | 2019-06-18T21:17:54Z | 2019-06-20T10:41:28Z | 2019-06-20T10:41:27Z | MEMBER | null | - [X] closes #26887
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
With some luck this should make the clipboard tests work in azure. @jorisvandenbossche @jreback can you have a look once the CI finishes? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26933/events | https://github.com/pandas-dev/pandas/pull/26933 | 457,735,350 | MDExOlB1bGxSZXF1ZXN0Mjg5NDg0ODQ3 | 26,933 | DOC: Make section title capitalization consistent #26830 | {
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] | closed | false | null | [] | null | 15 | 2019-06-18T23:12:48Z | 2019-06-19T17:44:57Z | 2019-06-19T00:10:35Z | CONTRIBUTOR | null | - [x] closes #26830
Adjusted titles in Docs to have consistent first letter only capitalization, unless proper noun in title.
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https://api.github.com/repos/pandas-dev/pandas/issues/26934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26934/events | https://github.com/pandas-dev/pandas/issues/26934 | 457,763,423 | MDU6SXNzdWU0NTc3NjM0MjM= | 26,934 | Issue with parsing PeriodDtype columns in read_csv() | {
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```python
df = pd.DataFrame({'Int': [1, 2, 3], 'Period': pd.period_range(start="2019-01", end="2019-03", freq="M")})
df.to_csv("PeriodDtype.csv")
pd.read_csv("PeriodDtype.csv", dtype={"Int": np.int64, "Period": pd.PeriodDtype("M")})
```
#### Problem description
Using pandas 0.24.2, I wrote... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26935/events | https://github.com/pandas-dev/pandas/issues/26935 | 457,775,458 | MDU6SXNzdWU0NTc3NzU0NTg= | 26,935 | A unified method dispatch protocol for ExtensionArrays | {
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1. a single, unified interface for dispatching Series methods
2. which supports EA
3. for all methods
4. and allows every method to be overridden by EA, as-needed
5. supports NA
6. doesn't require EA authors to implement some methods to signature-compatible with numpy (`round`), and sign... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26936/events | https://github.com/pandas-dev/pandas/pull/26936 | 457,776,807 | MDExOlB1bGxSZXF1ZXN0Mjg5NTE2MjU3 | 26,936 | Add type hint for (core.arrays).ranges | {
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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/26937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26937/events | https://github.com/pandas-dev/pandas/pull/26937 | 457,790,748 | MDExOlB1bGxSZXF1ZXN0Mjg5NTI2NzIy | 26,937 | WIP: `overlaps` handling of empty intervals in Interval and IntervalArray | {
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- [X] closes #26893
- [x] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Discussion in #26893 suggests we may want to treat e... | {
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... | closed | false | null | [] | null | 4 | 2019-06-19T09:35:32Z | 2021-02-11T15:12:20Z | 2019-06-19T10:26:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({"Name": ["A", "B", "C", "B", "A", "C"], "Laptime": [48.0,48.0,48.0,48.0,48.0,48.0], "Time": [12.0, 14, 16, 62, 60, 64]})
In [3]: df.dtypes
Out[3]:
Name object
Laptime float64
Ti... | {
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```
>>> import pandas as pd
>>> s = pd.Series(index=range(2010, 2020))
>>> s.loc[2015:2010:-1] = [6, 5, 4, 3, 2, 1]
Traceback (most recent call last):
[...]
ValueError: cannot set using a slice indexer with a different length than the value
```
I see no reason why this shouldn't work, as set... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26940/events | https://github.com/pandas-dev/pandas/pull/26940 | 457,964,589 | MDExOlB1bGxSZXF1ZXN0Mjg5NjY1NjAy | 26,940 | BUG: Fix skiplist init error with empty window | {
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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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... | null | 12 | 2019-06-19T13:16:37Z | 2020-03-07T20:06:26Z | 2020-03-07T20:06:26Z | MEMBER | null | In #26933, we're making the capitalization of the title sections consisten. We use to have many titles capitalized as `This is the Section Title`, and we changed all them (probably few were forgotten) to `This is the section title`.
To keep this consistency, we should validate that the capitalization is correct in t... | {
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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/26943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26943/events | https://github.com/pandas-dev/pandas/issues/26943 | 458,039,800 | MDU6SXNzdWU0NTgwMzk4MDA= | 26,943 | pandas.read_hdf leaves file open when requested data key does not exist | {
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```python
import pandas
data = pandas.read_hdf(<h5_file_name>, mode='r', key=key)
```
#### Problem description
When trying to read HDF5 file and the requested key object does not exist in the file, pandas pytables raises `KeyError('No object named {key... | {
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```python
idx = pd.IndexSlice
dt_index = pd.date_range(start="1jan2019 00:15:33",periods=100,freq="h") #this will fail
#dt_index = pd.date_range(start="1jan2019",periods=100,freq="d") #this works
zf = pd.DataFrame(index=dt_index)
zf['foo']=10
zf['... | {
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```python
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: s1 = pd.Series([1, 2, 3])
In [4]: s2 = s1.iloc[[0, 2, 1]]
In [5]: np.add(s1, s2)
Out[5]:
0 2
1 5
2 5
dtype: int64
```
IMO, the expected output should be
```
In [6]: n... | {
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In [1]: import pandas as pd; import numpy as np
In [2]: sparse = pd.SparseArray([0.0, 3.5], fill_value=0.0)
...: r1, r2 = np.modf(sparse)
...:
---------------------------------------------------------------------------
AttributeError Traceback (most rec... | {
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```python
# Your code here
c = a.apply(fixsub, axis=1)
c = c.fillna("nan")
c.to_csv('solution2.csv', header=False, index=False)
```
#### Problem description
Even after putting header=False, header keeps coming in the csv
#### Expected Output
no ... | {
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"d... | closed | false | null | [] | null | 9 | 2019-06-19T17:12:24Z | 2019-09-08T15:59:55Z | 2019-09-08T15:59:55Z | MEMBER | null | Follow up of the conversation in #26932, and fixing some of the things that #24106 tried.
The main change is **call pytest once** instead of once for `single` and once for `multi`. This shouldn't be a problem since I add the parameter `--dist=loadfile` which should prevent tests in the same file running in parallel.... | {
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This superseeds #26933, and should contain all the fixes requested there.
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https://api.github.com/repos/pandas-dev/pandas/issues/26951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26951/events | https://github.com/pandas-dev/pandas/pull/26951 | 458,148,260 | MDExOlB1bGxSZXF1ZXN0Mjg5ODE0NTAx | 26,951 | Additional tests for ufunc(Series) | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2019-06-19T18:02:20Z | 2019-06-21T15:58:34Z | 2019-06-21T15:58:29Z | CONTRIBUTOR | null | This adds a set of tests for ufuncs on Series. The goal is to
establish the correct behavior prior to implementing `Series.__array_ufunc__`.
There are two kinds of xfails right now
1. Series[Sparse] fails because `Series.__array_ufunc__` doesn't
yet dispatch to `Series.array.__array_ufunc__`
2. `ufunc(seri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26952 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26952/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26952/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26952/events | https://github.com/pandas-dev/pandas/issues/26952 | 458,245,400 | MDU6SXNzdWU0NTgyNDU0MDA= | 26,952 | CI: api.test_api.TestPDApi.test_api fails irrelevantly | {
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In the pull request #26940, I have changed a piece of code in `pandas/_libs/window.pyx`. Tests pass successfully (including those in tests/api) on my local but not on CI. It seems that `hard_dependencies, dependency, missing_dependencies` are on the pd namespace and not deleted as supposed (... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26953/events | https://github.com/pandas-dev/pandas/pull/26953 | 458,294,353 | MDExOlB1bGxSZXF1ZXN0Mjg5OTMzNjQw | 26,953 | TST: Fix flaky import test | {
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"d... | closed | false | null | [] | null | 6 | 2019-06-20T01:38:08Z | 2019-06-20T11:48:18Z | 2019-06-20T11:48:14Z | CONTRIBUTOR | null | I'm not sure why, but the missing dependency test is
causing issues. Now we check that things work by running
it in a subprocess with site-packages disabled.
Closes https://github.com/pandas-dev/pandas/issues/26952 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26954 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26954/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26954/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26954/events | https://github.com/pandas-dev/pandas/pull/26954 | 458,297,168 | MDExOlB1bGxSZXF1ZXN0Mjg5OTM1NzMx | 26,954 | POC: 2D support for 1D ExtensionArray subclasses | {
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Companion to #26914 trying out a way to implement 2D methods for EA subclasses that don't do it natively.
Chose the arrow EA as the example to start with, then discovered that equality checks return a scalar instead of operating elementwise, so mostly just comparing the shapes. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26955/events | https://github.com/pandas-dev/pandas/issues/26955 | 458,310,393 | MDU6SXNzdWU0NTgzMTAzOTM= | 26,955 | Column headers out of alignment in 10 MInutes tutorial | {
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Is this meant to have a semantic meaning that is not addressed by the tutorial commentary?
#### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'A': ['foo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26957/events | https://github.com/pandas-dev/pandas/pull/26957 | 458,368,647 | MDExOlB1bGxSZXF1ZXN0Mjg5OTg5NzA3 | 26,957 | TST: fix class method of test BoolArray | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26958/events | https://github.com/pandas-dev/pandas/issues/26958 | 458,410,904 | MDU6SXNzdWU0NTg0MTA5MDQ= | 26,958 | ENH: provide nunique method on Rolling object | {
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"description": "rolling,... | open | false | null | [] | null | 0 | 2019-06-20T07:58:10Z | 2019-06-20T12:26:39Z | null | MEMBER | null | GroupBy objects expose a `nunique` method of Series/DataFrame (and also for `resample` it works), but Rolling does not:
```
In [89]: values = np.random.choice(np.arange(10), 100) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26959/events | https://github.com/pandas-dev/pandas/issues/26959 | 458,421,410 | MDU6SXNzdWU0NTg0MjE0MTA= | 26,959 | API? how to do a "rolling groupby" or groupby with overlapping groups? | {
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... | open | false | null | [] | null | 11 | 2019-06-20T08:21:41Z | 2020-06-17T10:24:22Z | null | MEMBER | null | Sparked by @betatim's question on twitter: https://twitter.com/betatim/status/1141321049918906368
Suppose you have the following data:
```
repo_id = np.random.choice(np.arange(1000), 10000)
index = pd.Timestamp("2019-01-01") + pd.to_timedelta(np.random.randint(0, 24*30*6, size=10000), unit='H')
df = pd.DataFra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26960/events | https://github.com/pandas-dev/pandas/issues/26960 | 458,558,039 | MDU6SXNzdWU0NTg1NTgwMzk= | 26,960 | Why do I get strange aggregation result from DataFrame groupby()? | {
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] | closed | false | null | [] | null | 1 | 2019-06-20T09:55:57Z | 2019-06-20T12:22:00Z | 2019-06-20T12:22:00Z | NONE | null | #### Pandas version: 0.22
#### Problem
I try to use the numpy.size() to count the group size for the groups from pandas Dataframe groupby(), and I get strange result.
Can any guys explain how the aggregation of groupby works?
```python
>>> df=pd.DataFrame({'A':[1,1,2,2], 'B':[1,2,3,4],'C':[0.11,0.32,0.93,0.65],'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26961/events | https://github.com/pandas-dev/pandas/pull/26961 | 458,574,773 | MDExOlB1bGxSZXF1ZXN0MjkwMTU1MjAw | 26,961 | BUG: Fix TypeError by adding line_width argument to to_html() (#26956) | {
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Added in the line_width argument to the to_html() function to prevent TypeError being thrown when argument used.
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https://api.github.com/repos/pandas-dev/pandas/issues/26962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26962/events | https://github.com/pandas-dev/pandas/issues/26962 | 458,596,594 | MDU6SXNzdWU0NTg1OTY1OTQ= | 26,962 | CI: Fix Azure Pipelines problem with PATH | {
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"description": ... | closed | false | null | [] | null | 4 | 2019-06-20T11:18:22Z | 2019-08-07T09:38:42Z | 2019-08-07T09:38:42Z | MEMBER | null | We should be able to set the environment variable `PATH` in an Azure Pipelines job with `echo '##vso[task.prependpath]$HOME/miniconda3/bin'`. See https://github.com/pandas-dev/pandas/blob/master/azure-pipelines.yml#L27
But that didn't work when we implemented it, so we ended up setting the path manually in every ste... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26963/events | https://github.com/pandas-dev/pandas/issues/26963 | 458,613,913 | MDU6SXNzdWU0NTg2MTM5MTM= | 26,963 | qcut fails with labels=True | {
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... | 3 | 2019-06-20T11:57:26Z | 2020-04-05T02:10:08Z | null | NONE | null | The docs say that `qcut()` takes either a list or a boolean as its `labels` argument. The argument is `None` by default. This, which I would have expected to give me the standard set of labels -- like None -- errors:
```python
pd.qcut(range(5), 4, labels=True)
```
This may well be expected behavior, but it do... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26964/events | https://github.com/pandas-dev/pandas/issues/26964 | 458,638,271 | MDU6SXNzdWU0NTg2MzgyNzE= | 26,964 | BUG: NaNs converted to 1970-01-01 instead of NaT | {
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] | closed | false | null | [] | null | 5 | 2019-06-20T12:48:53Z | 2019-07-07T20:36:38Z | 2019-07-05T03:14:52Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
s = pd.Series([1, 2, np.nan, np.nan, np.nan]).astype('M8[ns]')
print(s)
```
0 1970-01-01 00:00:00.000000001
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https://api.github.com/repos/pandas-dev/pandas/issues/26965 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26965/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26965/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26965/events | https://github.com/pandas-dev/pandas/pull/26965 | 458,642,968 | MDExOlB1bGxSZXF1ZXN0MjkwMjA1Njc5 | 26,965 | REF: remove special-casing for internal EAs from format_array | {
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"color": "6138b... | closed | false | null | [] | null | 11 | 2019-06-20T12:58:31Z | 2019-08-28T16:46:05Z | 2019-08-28T16:46:04Z | MEMBER | null | - [ ] closes #26837
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [n/a ] whatsnew entry
cc @jorisvandenbossche
changes to tests for spacing before Datetime64TZ, which now have additional space. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26966/events | https://github.com/pandas-dev/pandas/pull/26966 | 458,676,757 | MDExOlB1bGxSZXF1ZXN0MjkwMjMwNDky | 26,966 | Surface NumPy FutureWarning about comparisons | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2019-06-20T14:00:58Z | 2019-06-21T01:11:56Z | 2019-06-21T01:11:56Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/22698
Specifically, see
https://github.com/pandas-dev/pandas/issues/22698#issuecomment-458968300.
I don't think we need to worry about the others in https://github.com/pandas-dev/pandas/issues/22698#issuecomment-422446071 datetimearray and integer array. I could... | {
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https://github.com/pandas-dev/pandas/blob/2115bf3d58ecc20aa2b10e05574eaa06de1e56ec/pandas/core/internals/construction.py#L516
The modified code could be:
raise ValueError(f'Leng... | {
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This means that files that will take a lot of time won't be parallelized well, and should be splitted for this to work. S... | {
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```
import pandas as pd
import numpy as np
if __name__ == '__main__':
print(pd.__version__)
print(np.__version__)
df = pd.DataFrame({'ID': [1,1,2,3,3], 'VALUE': [110,110,200,300,301]})
dfg = df.groupby('ID')['VALUE']
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"color": "00980... | closed | false | null | [] | null | 5 | 2019-06-20T16:42:24Z | 2020-07-03T08:50:52Z | 2019-06-24T09:49:49Z | CONTRIBUTOR | null | I am using a custom dataclass as in the index of a DataFrame, which works fine. However, since it implements the Sequence protocol, pprint_thing is rendering every element, rather than the object itself. I would rather use the __str__ method that I have written. I know I can avoid this by changing "pprint_nest_depth" o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26971/events | https://github.com/pandas-dev/pandas/issues/26971 | 458,768,119 | MDU6SXNzdWU0NTg3NjgxMTk= | 26,971 | Code sample on pandas.Series.eq page is for pandas.Series.add | {
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The code sample shown in the "Examples" section on the [doc page for pandas.Series.eq](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.eq.html) appears to be for pandas.Series.add instead of eq.
![image](https://user-images.githubusercontent.com/14127094/59866977-... | {
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In [2]: pd.Index(pd.SparseArray([1, 2]))
Out[2]: Index([1, 2], dtype='object')
```
Should this be an Int64Index? | {
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... | open | false | null | [] | null | 2 | 2019-06-20T20:34:50Z | 2020-05-16T20:38:32Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import tables as tb
import pandas as pd
# write with pytables
arr = np.zeros(4, dtype={'names':('size', 'age', 'weight'),
'formats':('i2', 'i4', 'u8')})
arr[0] = 2
arr[2] = (1, 2, 3)
fn = 'myfile2'
fileh = tb.open_fil... | {
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In [4]: pd.Index([1, 2], abc=1) ... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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In core.algorithms.take:
```
if allow_fill:
# Pandas style, -1 means NA
validate_indices(indices, len(arr))
result = take_1d(arr, indices, axis=axis, allow_fill=True,
fill_value=fill_value)
```
It... | {
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```
arrays = [['a', 'b', 'c', 'd'],
[1,2,3,4]]
tuples = list(zip(*arrays))
index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second'])
index1 = index.copy()
index1.difference(index)
#This should be empty results but I got following result... | {
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
**Code Sample**
```python
>>> index = pd.MultiIndex.from_tuples([('bird', 'falcon'), ('bird', 'parrot'), ('mammal', 'lion'), ('mammal', 'monkey')], names=['class', 'name'])
>>> columns = pd.Multi... | {
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... | 2 | 2019-06-21T08:21:17Z | 2020-05-08T19:44:05Z | null | NONE | null | I have the same problem with this [StackOverflow post](https://stackoverflow.com/questions/47377581/pandas-rolling-specifying-time-window-and-win-type), I reproduce it here. The goal is to calculate weighted time-based moving average over an irregular time series
#### Code Sample
```python
import pandas as pd
f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26981 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26981/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26981/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26981/events | https://github.com/pandas-dev/pandas/issues/26981 | 459,086,197 | MDU6SXNzdWU0NTkwODYxOTc= | 26,981 | DOC: Do not mention private classes in the documentation | {
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"id": 7171206... | closed | false | null | [] | null | 5 | 2019-06-21T08:50:03Z | 2019-06-23T11:58:07Z | 2019-06-23T11:58:07Z | MEMBER | null | The public documentation shouldn't mention private classes, which the users are not expected to know about, and they could be removed in the future without proper deprecation.
We've got a script to find them, it can be run with `./scripts/validate_docstrings.py --errors=GL04`
Currently there are those cases:
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https://api.github.com/repos/pandas-dev/pandas/issues/26982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26982/events | https://github.com/pandas-dev/pandas/issues/26982 | 459,113,587 | MDU6SXNzdWU0NTkxMTM1ODc= | 26,982 | DOC: Fix docstring quotes in pandas.tseries | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-06-21T09:51:24Z | 2020-09-28T15:39:32Z | 2020-09-28T15:39:32Z | MEMBER | null | In pandas we keep the quotes in the docstrings standardized in the next way:
```python
def foo():
"""
This is correct.
"""
```
But for historical reasons we still have many of this form:
```python
def foo():
"""This is incorrect."""
```
We have a script that is able to detect the wrong... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26983 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26983/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26983/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26983/events | https://github.com/pandas-dev/pandas/issues/26983 | 459,154,912 | MDU6SXNzdWU0NTkxNTQ5MTI= | 26,983 | BLD: wheel building is failing | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-06-21T11:38:44Z | 2019-06-24T14:32:23Z | 2019-06-24T14:32:22Z | CONTRIBUTOR | null | after the latest round of merges, seems wheel buidling is failing:
https://travis-ci.org/MacPython/pandas-wheels/builds/548526771
```
=================================== FAILURES ===================================
_______________________ test_missing_required_dependency _______________________
[gw1] linux -- ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26984/events | https://github.com/pandas-dev/pandas/issues/26984 | 459,182,703 | MDU6SXNzdWU0NTkxODI3MDM= | 26,984 | Use pytest tmp file management fixtures instead of ensure_clean[_path|_dir] | {
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`tests/io/test_pytables.py` uses a context manager called `ensure_clean_path`. It might be worth using the pytest `tmp_path` fixture instead which I think provides everything we need with less code (also easier to understand for new contribu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26985/events | https://github.com/pandas-dev/pandas/issues/26985 | 459,258,706 | MDU6SXNzdWU0NTkyNTg3MDY= | 26,985 | Performance drop and MemoryError during insert and _consolidate_inplace | {
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```python
import pandas as pd
import numpy as np
n = 2000000
data = pd.DataFrame({'a' : range(n)})
for i in range(1, 100):
data['col_' + str(i)] = np.random.choice(['a', 'b'], n)
for i in range(1, 600):
data['test_{}'.format(i)] = i
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https://api.github.com/repos/pandas-dev/pandas/issues/26986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26986/events | https://github.com/pandas-dev/pandas/pull/26986 | 459,270,754 | MDExOlB1bGxSZXF1ZXN0MjkwNjY2NzQx | 26,986 | CLN: move pytables tests to tests/io/pytables dir | {
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This moves two test modules (`test_pytables.py` and `test_pytables_missing.py`) into the new `tests/io/pytables` directory introduced in https://github.com/pandas-dev/pandas/pull/26818.
@jreback let me k... | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-06-21T16:38:08Z | 2019-07-06T21:45:47Z | 2019-07-06T21:45:47Z | CONTRIBUTOR | null | Strange one. This works,
```python
In [39]: a = pd.Series([1, 1])
In [40]: divmod(a, pd.Series([1, 2]));
```
This raises
```pytb
In [41]: divmod(a, pd.Series([0, 2]));
---------------------------------------------------------------------------
AttributeError Traceback (most r... | {
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dti = pd.date_range('2016-01-01', periods=3, tz='US/Pacific')
ser = pd.Series(dti)
cat = ser.astype('category')
>>> cat
0 2016-01-01 00:00:00-08:00
1 2016-01-02 00:00:00-08:00
2 2016-01-03 00:00:00-08:00
dtype: category
Categories (3, datetime64[ns, US/Pacific]): [2016-01-01 00:00:00-08:00, 2016-01... | {
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```python
# Your code here
import pandas as pd
s = pd.Series(index=pd.MultiIndex.from_tuples([('a', 0)]))
s.loc['a', 0] # loc function works fine, no complaints here
s.at['a', 0] # raises TypeError
```
#### Stack Trace:
```
Traceback (most recent call last):
File "<stdin>", line 1, i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26990 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26990/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26990/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26990/events | https://github.com/pandas-dev/pandas/issues/26990 | 459,340,387 | MDU6SXNzdWU0NTkzNDAzODc= | 26,990 | Show astype example with dict in docs | {
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] | closed | false | null | [] | null | 4 | 2019-06-21T19:25:24Z | 2019-06-22T19:19:38Z | 2019-06-22T19:19:38Z | CONTRIBUTOR | null | It would be useful to be able to change a column dtype inline.
For example with a DataFrame-level astype() overload:
Assuming `df` has a column called `str_col` that is a string (object),
`df.astype(col='str_col', dtype='int').head()`
The use case that brought me here is to numerically sort a string column with... | {
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] | closed | false | null | [] | null | 6 | 2019-06-21T19:45:39Z | 2019-06-24T11:13:01Z | 2019-06-24T11:13:01Z | NONE | null |
variable = pandas.read_csv(r"C://Users/zialecuyermorison/Desktop/data/iris.csv")
header.sepal_length( )
```python
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-61-ef9a5393d1d5> in <modul... | {
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] | closed | false | null | [] | null | 8 | 2019-06-21T20:18:46Z | 2019-09-08T16:41:51Z | 2019-09-08T16:41:44Z | CONTRIBUTOR | null | - [x] closes #26792
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Pandas-internal EAs with `copy` behavior not respecting `deep` kwarg:
- [ ] Categorical (no kwarg at all)
- [ ] D... | {
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This may be two separate issues, I can't tell.
### Case 1.
```python
import pandas as pd
ser=pd.Series(range(10))
ser[:5]=None
print(ser)
pd.Series(ser).rolling(3, min_periods=3).count()
```
returns
```
0 0.0
1 0.0
2 0.0
3 0.0
4 0.0
5 1.0
6 2.0
7 ... | {
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] | closed | false | null | [] | null | 3 | 2019-06-22T09:30:32Z | 2019-06-23T11:58:07Z | 2019-06-23T11:58:07Z | CONTRIBUTOR | null | - [x] closes #26981
- [x] tests `python validate_docstrings.py --errors=GL04` passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
import pandas as pd
import numpy as np
a = pd.DataFrame(
np.random.random(12).reshape([4,3]),
columns = ['A', 'B', 'C'],
index = pd.MultiIndex.from_product([['p','q'],['x','y']], names=['A','D']),
)
print(a)
# A ... | {
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```python
writer = pd.ExcelWriter(Path().resolve() / 'output' / 'out.xlsx')
for dftup in exportlist:
dftup[0].to_excel(writer, sheet_name=dftup[2])
```
#### Problem description
Note that a similar issue was covered in in #19242, but with a different da... | {
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In that discussion, I once made the following pro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27002/events | https://github.com/pandas-dev/pandas/issues/27002 | 459,477,978 | MDU6SXNzdWU0NTk0Nzc5Nzg= | 27,002 | Improve DataFrame.to_string() | {
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- Draw borders: specify border characters and which ones to draw _(similar to [texttable](https://pypi.org/project/texttable/))_
- Allow multi-line cells for long strings instead of truncation (they are visually separated by the borders)
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I passed a list of data with 5 columns but a column header list of 6 items. The documentation for `pd.DataFrame.from_records()` says:
> any names not found in the data will become all-NA columns
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Hits one of the checkboxes in #26823. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27005/events | https://github.com/pandas-dev/pandas/pull/27005 | 459,540,874 | MDExOlB1bGxSZXF1ZXN0MjkwODY2ODMy | 27,005 | Add informal definition of "label" in note | {
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- [ ] closes #xxxx
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In the section of code that deals with writing merged cells, the original ... | {
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- [ ] tests added / passed
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- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27008/events | https://github.com/pandas-dev/pandas/issues/27008 | 459,564,117 | MDU6SXNzdWU0NTk1NjQxMTc= | 27,008 | to_excel Mishandles Mixing of tz-aware datetimes | {
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... | 10 | 2019-06-23T11:14:10Z | 2019-06-29T20:54:28Z | 2019-06-29T20:54:28Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
In [14]: import pandas as pd
In [14]: ew = pd.ExcelWriter('test.xlsx')
In [15]: df = pd.DataFrame([pd.to_datetime('2019-06-22 01:11'), pd.to_datetime('2019-06-22 01:11
...: Z'), pd.to_datetime('2019-06-22 01:11MSK')])
In [16]: df
Out[16]:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27009 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27009/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27009/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27009/events | https://github.com/pandas-dev/pandas/pull/27009 | 459,569,490 | MDExOlB1bGxSZXF1ZXN0MjkwODg1MDYw | 27,009 | PLT: Cleaner plotting backend API, and unify Series and DataFrame accessors | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The main changes are:
The API that backends need to implement is simply a function `plot(data, kind, **kwargs)`. After testing different approaches (abstract class previously m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27010 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27010/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27010/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27010/events | https://github.com/pandas-dev/pandas/pull/27010 | 459,608,981 | MDExOlB1bGxSZXF1ZXN0MjkwOTExNDM3 | 27,010 | TST: Fix flaky test | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27011/events | https://github.com/pandas-dev/pandas/issues/27011 | 459,614,071 | MDU6SXNzdWU0NTk2MTQwNzE= | 27,011 | BUG: ensure_index inconsistently coerces np.nan to pd.NaT depending if timezones are present | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.... | 1 | 2019-06-23T20:23:59Z | 2019-07-24T11:42:49Z | 2019-07-24T11:42:49Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
On master:
```python
In [1]: import numpy as np; import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+783.g2b9b58dad'
In [2]: ts_list = [pd.Timestamp('2018-01-01'), np.nan]
...: tstz_list = [pd.Timestamp('2018-01-01', tz='UTC'), np.nan]
In [3]: pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27012/events | https://github.com/pandas-dev/pandas/issues/27012 | 459,617,860 | MDU6SXNzdWU0NTk2MTc4NjA= | 27,012 | TST: fixture names for REPL usability | {
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] | closed | false | null | [] | null | 1 | 2019-06-23T21:05:35Z | 2019-11-05T22:11:20Z | 2019-11-05T22:11:20Z | MEMBER | null | The pytest docs (https://docs.pytest.org/en/latest/deprecations.html#calling-fixtures-directly) suggest a pattern that would make fixturized tests a zillion times less frustrating to troubleshoot when they fail.
Instead of
```
@pytest.fixture
def whatever():
```
We use
```
def whatever():
@pytest.fixtu... | {
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