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https://api.github.com/repos/pandas-dev/pandas/issues/21212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21212/events | https://github.com/pandas-dev/pandas/pull/21212 | 326,675,182 | MDExOlB1bGxSZXF1ZXN0MTkwNzAyMzk5 | 21,212 | Stable Sorting Algorithm for Fillna Indexer | {
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Haven't added a whatsnew yet if only because I need to think through the best way to phrase this / investigate where it doesn't work. I have a feeling the default `kind` argumen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21213/events | https://github.com/pandas-dev/pandas/pull/21213 | 326,677,771 | MDExOlB1bGxSZXF1ZXN0MTkwNzA0Mzc1 | 21,213 | implement arith ops on pd.Categorical | {
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Then in core.ops we dispatch to pd.Categorical instead of special-casing. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21214/events | https://github.com/pandas-dev/pandas/pull/21214 | 326,703,368 | MDExOlB1bGxSZXF1ZXN0MTkwNzIxODU1 | 21,214 | DOC: Add numeric_only to DataFrame.quantile | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
My confusion with #18608 was primarily due to the `numeric_only` not being specified in the docs. Additional we do have tests covering this case in `pandas/tests/frame/test_quantile.py` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21215/events | https://github.com/pandas-dev/pandas/pull/21215 | 326,704,894 | MDExOlB1bGxSZXF1ZXN0MTkwNzIyNzQy | 21,215 | BUG: Categorical.fillna with iterables | {
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Closes https://github.com/pandas-dev/pandas/issues/21097
Note that `Series.fillna` still doesn't allow iterables. I'm not sure that we should allow that, as it's potentially confusing what that would do. | {
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closes #20964
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I did a little refactoring of `Datetime.__new__` that converts passed data but made it easier to fix this issue. I had to modify some methods (join, normalize, delete,... | {
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When you try to do this to a barh plot, e.g. pass `secondary_y`, it has no effect on what would be the secondary_x... | {
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"followers_url": "https://api.github... | 0 | 2018-05-26T18:13:05Z | 2018-07-23T17:02:36Z | 2018-07-23T17:02:14Z | CONTRIBUTOR | null | Now that we support merging `on` combination of column names and index levels, this should work
```python
In [40]: a = pd.DataFrame({"A": [1, 2, 3, 4]}, index=pd.MultiIndex.from_product([['a', 'b'], [0, 1]], names=['outer', 'inner']))
In [41]: b = pd.Series([1, 2, 3, 4], index=pd.MultiIndex.from_product([['a', '... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21221/events | https://github.com/pandas-dev/pandas/issues/21221 | 326,776,002 | MDU6SXNzdWUzMjY3NzYwMDI= | 21,221 | Styler class doesn't apply formatting from Styler.format when writing to Excel | {
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... | 5 | 2018-05-27T00:01:55Z | 2021-06-28T07:49:00Z | 2021-06-28T07:48:59Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'a': [.1, .2], 'b': [.2, .3]})
df.style.background_gradient().format("{:.2%}").to_excel('test.xlsx')
```
or to prevent actually writing to disk:
```python
buf = StringIO()
df = pd.DataFrame({'a': [.1, .... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21222/events | https://github.com/pandas-dev/pandas/pull/21222 | 326,803,062 | MDExOlB1bGxSZXF1ZXN0MTkwNzc5NTY0 | 21,222 | BUG: df.agg(sum, axis=1) uses different method than when axis=0 | {
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- [x] xref #21123
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is a splitoff from #21123, to only fix #21134. #19629 will be fixed in a separate PR afterwards.
Passing builtins to ``df.agg`` is ok when ``axis=0``,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21223/events | https://github.com/pandas-dev/pandas/pull/21223 | 326,823,902 | MDExOlB1bGxSZXF1ZXN0MTkwNzkyMTc5 | 21,223 | ENH: Merge DataFrame and Series using `on` (GH21220) | {
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"followers_url": "https://api.github... | 21 | 2018-05-27T15:08:47Z | 2018-07-23T17:03:41Z | 2018-07-23T17:02:14Z | CONTRIBUTOR | null | - [x] closes #21220
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21224/events | https://github.com/pandas-dev/pandas/pull/21224 | 326,853,542 | MDExOlB1bGxSZXF1ZXN0MTkwODA4MTY5 | 21,224 | BUG: df.agg, df.transform and df.apply use different methods when axis=1 than when axis=0 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is a splitoff from #21123, to only fix #16679. #19629 will be fixed in a separate PR afterwards.
Passing functions to ``df.agg``, ``df.transform`` and ``df.apply`` may u... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21225/events | https://github.com/pandas-dev/pandas/issues/21225 | 326,896,638 | MDU6SXNzdWUzMjY4OTY2Mzg= | 21,225 | read_html should retry imports | {
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```python
>>> pd.read_html('https://es.wikipedia.org/wiki/ISO_3166-2:AR')
ImportError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21226/events | https://github.com/pandas-dev/pandas/issues/21226 | 326,940,267 | MDU6SXNzdWUzMjY5NDAyNjc= | 21,226 | Cannot create a DataFrame from list subclass | {
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"followers_url": "https://api.github... | 6 | 2018-05-28T08:22:48Z | 2018-12-15T21:21:24Z | 2018-12-15T21:21:24Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
class List(list):
pass
pandas.DataFrame(List([List([1,2,3]), List([4,5,6])]))
```
```
TypeError: Argument 'rows' has incorrect type (expected list, got List)
```
#### Problem description
It seems it is not possible to... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21227 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21227/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21227/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21227/events | https://github.com/pandas-dev/pandas/issues/21227 | 326,953,904 | MDU6SXNzdWUzMjY5NTM5MDQ= | 21,227 | df.to_csv ignores compression when provided with a file handle | {
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"followers_url": "https://api.github... | 4 | 2018-05-28T09:07:53Z | 2020-11-29T07:51:56Z | 2018-05-30T23:27:47Z | NONE | null | #### Code at issue
```python
with open(outputfile, "w") as file_handle:
df2.to_csv(file_handle, compression='gzip')
```
#### Problem description
The written file is not gzip compressed.
#### Expected Output
The output should be a gzip compressed csv file. Similar to what is obtained when using:
```pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21228 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21228/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21228/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21228/events | https://github.com/pandas-dev/pandas/issues/21228 | 327,030,068 | MDU6SXNzdWUzMjcwMzAwNjg= | 21,228 | to_parquet can't handle mixed type columns | {
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"followers_url": "https://api.github.com/users/jorisva... | 15 | 2018-05-28T13:38:25Z | 2021-07-06T20:53:07Z | 2019-02-12T02:58:50Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
data = pd.read_excel('pandas_example.xlsx', sheet_name = 0)
data = data.astype({'A': 'int32', 'B': 'object'})
data.to_parquet('example.parquet')
```
[pandas_example.xlsx](https://github.com/pandas-dev/pandas/files/2045106/panda... | {
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See this question on stackoverflow for details:
https://stackoverflow.com/questions/50552448/pandas-groupby-is-returning-two-groups-for-the-same-unique-id/50552528?noredirect=1#comment88120185_50552528 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21230/events | https://github.com/pandas-dev/pandas/issues/21230 | 327,076,309 | MDU6SXNzdWUzMjcwNzYzMDk= | 21,230 | Datetime.index.date returns incorrect date post upgrade to version 0.23 | {
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```python
df1 = pd.DataFrame(data=[24, 25],
index=pd.DatetimeIndex(['2013-01-24 15:01:00+01:00',
'2013-01-25 15:01:00+01:00'],
dtype='datetime64[ns, CET]',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21231/events | https://github.com/pandas-dev/pandas/issues/21231 | 327,110,074 | MDU6SXNzdWUzMjcxMTAwNzQ= | 21,231 | Sparse Dataframe with multiindex error when slicing | {
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] | closed | false | null | [] | null | 1 | 2018-05-28T20:16:28Z | 2019-09-17T20:56:55Z | 2019-09-17T20:56:55Z | NONE | null | #### Code Sample,
```python
import pandas as pd
import numpy as np
spdf = pd.DataFrame(np.random.rand(5, 5) > 0.7).astype(float).to_sparse(fill_value=0)
spdf.columns = pd.MultiIndex.from_tuples((("A", 1), ("A", 1), ("B", 1), ("B", 2), ("C", 2)))
spdf["A"] # Throws error
spdf.to_dense()["A"] # Works
```
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https://api.github.com/repos/pandas-dev/pandas/issues/21232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21232/events | https://github.com/pandas-dev/pandas/issues/21232 | 327,117,860 | MDU6SXNzdWUzMjcxMTc4NjA= | 21,232 | AttributeError: 'NoneType' object has no attribute 'fetchall' on Update | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-05-28T21:10:16Z | 2018-05-29T11:12:07Z | 2018-05-29T11:08:48Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
engine = sqlalchemy.create_engine("mssql+pymssql://" + user + ":" + password + "@" + server + '/' + db)
pd.read_sql_query("UPDATE tb_VC_P SET lastUpdate='2018-05-28 20:55:10' WHERE idVisualCreativeProcess=9"), engine)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/21233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21233/events | https://github.com/pandas-dev/pandas/issues/21233 | 327,127,001 | MDU6SXNzdWUzMjcxMjcwMDE= | 21,233 | pd.cut() with user-specified labels and bins arguments does not use user-provided labels | {
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... | open | false | null | [] | null | 5 | 2018-05-28T22:29:25Z | 2020-04-27T00:00:34Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
bins = pd.IntervalIndex.from_tuples([(0, 2), (2, 2.5), (2.5, 5)])
pd.cut([1, 1.5, 2, 2.5, 3, 3.5], bins=bins, labels=['a', 'b', 'c']).tolist()
# output of pd.cut(...) is:
# [Interval(0.0, 2.0, closed='right'), Interval(0.0, 2.0, closed='right'), Interval(0.0, 2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21235/events | https://github.com/pandas-dev/pandas/pull/21235 | 327,130,792 | MDExOlB1bGxSZXF1ZXN0MTkxMDA2MTMw | 21,235 | pct change bug issue 21200 | {
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"followers_url": "https://api.github... | 31 | 2018-05-28T23:10:49Z | 2018-12-15T07:54:53Z | 2018-12-12T12:41:38Z | CONTRIBUTOR | null | closes #21200
closes #21621
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This addresses [#21200](https://github.com/pandas-dev/pandas/issues/21200?_pjax=%23js-repo-pjax-container) . When there are different groups in a dataframe, by using gr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21236/events | https://github.com/pandas-dev/pandas/issues/21236 | 327,161,979 | MDU6SXNzdWUzMjcxNjE5Nzk= | 21,236 | Rolling Data Frames Don't Include Index Values | {
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The above code shows only integer values. However, the index defined is solely in floats (no integers).
0 1 2 3 4 5 6 7 8 9 ...
0.886683 1... | {
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"followers_url": "https://api.github... | 1 | 2018-05-29T03:55:44Z | 2018-06-14T10:08:58Z | 2018-06-14T10:08:58Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({"A":[1,2,3]*10000 ,"B":[1]*30000})
In [31]: %%timeit
...: t = df.groupby("B").rank()
608 ms ± 1.58 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
In [32]: %%timeit
...: t = df.A.rank()
1.27 ms ± 13.6 µs per... | {
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"followers_url": "https://api.github... | 22 | 2018-05-29T04:16:58Z | 2018-12-15T23:23:09Z | 2018-12-15T21:21:24Z | CONTRIBUTOR | null | - [x] closes #21226
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Alternative fix could be that instead of doing `isinstance` check in frame's `_to_arrays` method:
```
if isinstance(data[0], (list, tuple)):
```
We would do:
```
if ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21239/events | https://github.com/pandas-dev/pandas/issues/21239 | 327,222,495 | MDU6SXNzdWUzMjcyMjI0OTU= | 21,239 | Wrong behaviour of None/np.nan in 'category' type columns | {
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"... | null | 2 | 2018-05-29T08:42:11Z | 2020-07-06T21:28:08Z | 2020-07-06T21:28:08Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame({'a': ['asd', None, 12, 'asd', 'cde']}, dtype='category')
print(df['a'].apply(lambda x: x=='cde'))
```
```
0 False
1 True
2 False
3 False
4 True
Name: a, dtype: object
```
#### Problem description
`None` (or `np.nan`)... | {
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I stumbled over some very specific off behaviour when trying to do a multi-index groupby over several boolean columns using `agg` with a dictionary to apply a function to each column that would count the number of True-values by using the boolean series as a boolean index on itself and getting... | {
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Hi there,
after upgrading to the lastest version of pandas I have an issue with the code, that worked fine on the previous version (0.22.0):
```python
df.to_csv(
path_or_buf=csv_path,
encoding='utf8',
compression='gz',
... | {
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"followers_url": "https://api.github... | 1 | 2018-05-29T11:11:52Z | 2018-10-15T17:07:33Z | 2018-10-15T17:07:33Z | CONTRIBUTOR | null | makes testing / support simpler. not a huge amount of code removal anticipated. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21243/events | https://github.com/pandas-dev/pandas/issues/21243 | 327,274,919 | MDU6SXNzdWUzMjcyNzQ5MTk= | 21,243 | IntervalIndex does not accept CategoricalIndex (of interval dtype) | {
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"color": "e1... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2018-05-29T11:14:47Z | 2018-06-04T21:28:51Z | 2018-06-04T21:28:51Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.qcut(range(100), 10).value_counts().index.categories.dtype
Out[2]: interval[float64]
In [3]: pd.IntervalIndex(pd.qcut(range(100), 10).value_counts().index)
---------------------------------------------------------------------------
Typ... | {
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```python
import pandas
data = pandas.read_stata(file_with_latin1_encoding, chunksize=1048576)
for chunk in data:
pass # do something with chunk (never reached)
```
This raises `UnicodeDecodeError: 'utf8' codec can't decode byte 0x?? in position ?: inva... | {
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```python
# Your code here
>>> pd.Series([], index=pd.date_range(start="2018-01-01", periods=0), dtype=int).apply(lambda x: x)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/.../lib/python3.6/site-packages/pandas/core/serie... | {
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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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```python
import pandas as pd
from pandas import Timestamp as TS
df = pd.DataFrame([1, 2, 3], index=[0, 2, 4])
# throws an error as expected
df.reindex([0, 1, 2, 3, 4, 5, 6], fill_value=0, limit=1)
```
```python
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"followers_url": "https://api.github... | 0 | 2018-05-29T15:31:44Z | 2018-06-08T11:34:34Z | 2018-06-08T11:34:34Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: s = pd.Series([i*10 for i in range(5)])
...: s
...:
Out[2]:
0 0
1 10
2 20
3 30
4 40
dtype: int64
In [3]: s.combine(3, lambda x,y: x + y)
Out[3]:
0 3
1 13
2 23
3 ... | {
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"followers_url": "https://api.github... | 2 | 2018-05-29T17:03:13Z | 2018-05-31T20:06:22Z | 2018-05-30T23:27:47Z | CONTRIBUTOR | null | - [x] closes #21227
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Handle an unsupported case when a file-like object instead of path passed into to_csv with compression. According to documentation, compression keyword requires it to be a file... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21250/events | https://github.com/pandas-dev/pandas/issues/21250 | 327,515,704 | MDU6SXNzdWUzMjc1MTU3MDQ= | 21,250 | "Duplicated level name" when using groupby with two different attributes of a datetime | {
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```python
from io import StringIO
import pandas as pd
data = '''Date,Amount
10/30/2010,54
11/20/2010,53'''
df = pd.read_csv(StringIO(data), parse_dates=[0])
df.groupby([df.Date.dt.year, df.Date.dt.month]).mean()
```
#### Problem description
This... | {
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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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#### Code Sample, a copy-pastable example if possible
`IntervalIndex.from_arrays` fails:
```python
In [2]: cat_l = pd.Categorical([0, 0, 1, 2, 2])
In [3]: cat_r = pd.Categorical([1, 3, 3, 3, 4])
In [4]: pd.IntervalIndex.from_arrays(cat_l, cat_r)
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- [X] closes #21253
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Added this to 0.23.1 since it's a regression and the fix is a minor change outside the `IntervalIndex` class. Not opposed to pushing to 0.24.0 if backporti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21255/events | https://github.com/pandas-dev/pandas/issues/21255 | 327,636,987 | MDU6SXNzdWUzMjc2MzY5ODc= | 21,255 | DataFrame.unstack() drops columns if dataframe is empty | {
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#!/usr/bin/env python
import sys
import numpy as np
import pandas as pd
from datetime import datetime
now = datetime.now()
later = datetime.now()
non_empty = pd.DataFrame(dict(date=[now, now, later, later], user_id=[2,3, 2,3], value_1=[4, 5, 6, 7], value_2=[6,7, 8,9]))
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https://api.github.com/repos/pandas-dev/pandas/issues/21256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21256/events | https://github.com/pandas-dev/pandas/issues/21256 | 327,733,231 | MDU6SXNzdWUzMjc3MzMyMzE= | 21,256 | Type conversions are skipped in 'to_dict' on single column dataframes | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-05-30T13:33:41Z | 2021-06-20T04:23:51Z | null | NONE | null | Code to reproduce the error:
```python
import pandas as pd
from datetime import datetime
dfs = {
'full_df': pd.DataFrame([
{'int': 1, 'date': datetime.now(), 'str': 'foo', 'float': 1.0, 'bool': True},
]),
'int_df': pd.DataFrame([
{'int': 1},
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"followers_url": "https://api.github... | 0 | 2018-05-30T14:15:27Z | 2018-06-29T00:47:09Z | 2018-06-29T00:47:09Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: import decimal
In [3]: from pandas.tests.extension.decimal.array import DecimalArray
In [4]: s = pd.Series(DecimalArray([decimal.Decimal(i) for i in range(10)]))
In [5]: s
Out[5]:
0 0
1 1
2 2... | {
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"color": "006b7... | closed | false | null | [] | null | 1 | 2018-05-30T15:44:45Z | 2018-06-07T12:52:21Z | 2018-06-07T12:52:21Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
import numpy as np
np.random.seed(24)
df = pd.DataFrame(np.random.randn(8, 4), columns=list('ABCD'))
df.style.background_gradient()
```
#### Problem... | {
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- [x] closes #15204
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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- [x] tests added / passed
- added example in tests/extension/base/getitem.py:test_get()
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- Put this in 0.23.1 for now
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- [x] tests added / passed
- tests/extension/decimal/test_decimal.py:TestOperator
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- in v0.24.0
Based on a discussion in #20889, this provides a mixin (via a mixin factory) that provides a defaul... | {
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```python
>>> import pandas as pd
>>> pd.Timestamp('2018-01-12 18:15:00').ceil('15T')
Timestamp('2018-01-12 18:30:00')
>>> pd.Timestamp('2018-01-12 00:30:00').ceil('15T')
Timestamp('2018-01-12 00:45:00')
```
#### Problem description
When the frequency is 15min `.ceil()` rounds up when ... | {
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... | closed | false | null | [] | null | 6 | 2018-05-30T20:41:26Z | 2018-06-07T19:26:03Z | 2018-06-07T12:52:21Z | CONTRIBUTOR | null | The purpose of this PR is to automatically color text dark or light based on the background color of the HTML table:
================`old behavior` ===========================`new behavior`========
 ![image]... | {
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dict-like object had no effect.
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- [ ] closes #21262
- [x] tests added
- [ ] tests passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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It would be nice if pandas stlying allowed you to set a tooltip for table cells, in the same way that it allows you to set the CSS style using apply, applymap, etc.
Currently it is possible to create a hacky workaround using css-only tooltips and set_table_styles, but it adds substantial co... | {
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http://pandas.pydata.org/pandas-docs/stable/timeseries.html?highlight=weekofmonth#time-date-components
From the docs:
There are several time/date properties that one can access from Timestamp or a collection of timestamps like a DatetimeIndex.
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https://api.github.com/repos/pandas-dev/pandas/issues/21268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21268/events | https://github.com/pandas-dev/pandas/pull/21268 | 327,993,614 | MDExOlB1bGxSZXF1ZXN0MTkxNjQzNjcy | 21,268 | DOC: fill in class names for rename methods | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2018-05-31T04:53:13Z | 2018-06-08T17:20:02Z | 2018-05-31T10:19:19Z | CONTRIBUTOR | null | The documentation for the `inplace` parameter has the `%(klass)` placeholder from the original NDFrame. This fills in the appropriate values in the following places:
* http://pandas.pydata.org/pandas-docs/version/0.23/generated/pandas.DataFrame.rename.html
* http://pandas.pydata.org/pandas-docs/version/0.23/generat... | {
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I'm not completely sure yet about the argument name, which is `light_text` at the m... | {
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using pandas 0.22:
```python
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: object_data = ['silly walks', np.nan, 'dead parrot']
In [4]: pd.Series(object_data, dtype=object)
Out[4]:
0 silly walks
1 NaN
2 dead parrot... | {
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```python
# In the code that follows, the first DataFrame (a) doesn't work as expected, the second (b) does.
a = pd.DataFrame({'x':[1.0,2,3,4,5], 'y':[2.0,3,4,5,6], 'z':['a', 'b', 'c', 'd', 'e']})
b = pd.DataFrame({'x':[1.0,2,3,4,5], 'y':[2.0,3,4,5,6]})
# ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21274 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21274/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21274/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21274/events | https://github.com/pandas-dev/pandas/pull/21274 | 328,113,263 | MDExOlB1bGxSZXF1ZXN0MTkxNzM0MDg4 | 21,274 | PERF: improve performance of NDFrame.describe | {
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"followers_url": "https://api.github... | 6 | 2018-05-31T12:11:36Z | 2018-06-08T08:12:31Z | 2018-06-05T17:01:14Z | CONTRIBUTOR | null | A one-line change that enables to calculate the percentiles in `describe` more efficiently. The point is that calculating percentiles in one pass is faster than separately.
`describe` (with default `percentiles` argument) becomes 25-30% faster than before for numerical Series and DataFrames.
### Setup
```
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https://api.github.com/repos/pandas-dev/pandas/issues/21275 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21275/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21275/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21275/events | https://github.com/pandas-dev/pandas/issues/21275 | 328,133,209 | MDU6SXNzdWUzMjgxMzMyMDk= | 21,275 | shift does not always preserve freqstr if series contains only one or two elements | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-31T13:13:29Z | 2020-06-10T02:26:39Z | 2020-06-04T19:09:56Z | CONTRIBUTOR | null | #### Problem description
The freqstr information is lost if series contains only one or two elements AND the freqstr by which is shifted is not the same as the freqstr of the series. In all other cases it works fine.
```python
import pandas as pd
s1 = pd.Series([1], index=pd.date_range('2016-1-1', periods=1, fr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21276/events | https://github.com/pandas-dev/pandas/issues/21276 | 328,152,371 | MDU6SXNzdWUzMjgxNTIzNzE= | 21,276 | Akima interpolation bug | {
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```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import datetime
from scipy import interpolate
df=pd.DataFrame([1,2,3,np.NaN,np.NaN,np.NaN,np.NaN,np.NaN,np.NaN,4,5],index=[pd.Timestamp('20180531 12:00:00'),pd.Timestamp('2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21277/events | https://github.com/pandas-dev/pandas/pull/21277 | 328,267,029 | MDExOlB1bGxSZXF1ZXN0MTkxODUxMTE2 | 21,277 | Add missing period to get_dummies docs | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-31T19:28:46Z | 2018-06-09T09:18:47Z | 2018-06-01T00:14:34Z | CONTRIBUTOR | null | Newline characters are stripped from the docstring when formatting parameter documentation. Because of this, the docs for the `prefix` parameter of [`pandas.get_dummies`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html) look like a single run-on sentence. Added a period to the end of the ... | {
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```python
numiter = 100
for n in [10, 1000, 1000000, 10000000,]:
domain = np.arange(0, n)
range = domain+10
maptable = pd.Series(range, index=domain).sort_index()
query_vals = pd.Series([1,2,3])
def f():
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https://api.github.com/repos/pandas-dev/pandas/issues/21279 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21279/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21279/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21279/events | https://github.com/pandas-dev/pandas/pull/21279 | 328,332,279 | MDExOlB1bGxSZXF1ZXN0MTkxOTAwMTE2 | 21,279 | BUG: Fix encoding for Stata format 118 files | {
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"followers_url": "https://api.github.com/users/jr... | 9 | 2018-05-31T23:35:47Z | 2019-03-21T13:27:46Z | 2018-06-06T13:15:24Z | CONTRIBUTOR | null | Ensure that Stata 118 files always use utf-8 encoding
- [x] closes #21244
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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- [ ] closes #21230, closes https://github.com/pandas-dev/pandas/issues/21267
- [x] tests added / passed
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Added 2 tests for DatetimeIndex.date in tests/indexes/datetimes/test_datetime.py. Please let me know if I should move... | {
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```python
import pandas as pd
index = pd.DatetimeIndex(start='1990', end='1994', freq='AS')
print(index)
print(index[:])
print(index[...])
```
yields:
```
DatetimeIndex(['1990-01-01', '1991-01-01', '1992-01-01', '1993-01-01',
'1994-01... | {
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... | open | false | null | [] | null | 1 | 2018-06-01T06:12:30Z | 2021-06-20T04:24:56Z | null | NONE | null | I posed this issue on SO but was hoping to get a more detailed explanation. I have a df that has an `(id, date)` `MultiIndex`. I would like to resample the df within each `id`. Intuitively I thought the code should look something like:
````
df = pd.DataFrame(data = {"val": np.arange(30),
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- [x] tests added / passed
- [x] whatsnew entry
- modified whatsnew.v0.23.1.txt
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"followers_url": "https://api.github... | 7 | 2018-06-01T13:39:35Z | 2018-06-14T10:09:02Z | 2018-06-14T10:08:58Z | CONTRIBUTOR | null | - [x] closes #21237
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21286/events | https://github.com/pandas-dev/pandas/issues/21286 | 328,610,468 | MDU6SXNzdWUzMjg2MTA0Njg= | 21,286 | rolling on 0 window causes core dump | {
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pd.__version__ == 0.22.0
```python
import pandas as pd
series = pd.Series(range(1000))
series.rolling(0).min()
```
#### Problem description
Attempting to perform an operation on a series.rolling with window=0
kills the kernel if running with jupyter.
causes a core dump if running directly from py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21287 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21287/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21287/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21287/events | https://github.com/pandas-dev/pandas/issues/21287 | 328,614,554 | MDU6SXNzdWUzMjg2MTQ1NTQ= | 21,287 | Empty data frames not round-trippable to JSON | {
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```python
import pandas as pd
df = pd.DataFrame([], columns=['a', 'b', 'c'])
df.to_json('tmp.json', orient='table')
pd.read_json('tmp.json', orient='table')
>> KeyError: "['index' 'a' 'b' 'c'] not in index"
```
#### Problem description
Empty data frames saved as JSON fail to load back ... | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-06-01T19:14:15Z | 2018-06-01T20:32:21Z | 2018-06-01T20:32:09Z | CONTRIBUTOR | null | Hi,
I put data from dataframe to SQL Server:
```python
engine = create_engine('mssql+pyodbc://localhost/...')
# ...
df.to_sql(name='data', con=engine, if_exists='append', index=False)
```
With version 0.21.1 and previous version this is successfully executed, but with version 0.23 I get error:
```
sqla... | {
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No code since no install
#### Problem description
I am trying to install pandas on an Beaglebone Black ( Kernel: Linux 4.9.45-ti-r57 & Operating System: Debian GNU/Linux 9 (stretch)). I tried with python2.7 and python3.5.3 with the following install comma... | {
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... | open | false | null | [] | null | 2 | 2018-06-01T23:58:15Z | 2018-06-06T07:22:11Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import matplotlib.pyplot as plt
import pandas as pd
_, axs = plt.subplots(2, 3, sharex='row')
for ax in axs.flatten():
ax.plot(range(5))
ax.set_xlabel('x-axis title')
ax = axs[1, 0]
data = [2]*5
pd.DataFrame(data).plot(ax=ax) # re... | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2018-06-02T05:05:04Z | 2018-06-12T16:30:36Z | 2018-06-08T16:25:52Z | CONTRIBUTOR | null | Added a raise Value Error for the case when window==0, Kindly refer to issue #21286 for the same
- [x] closes #21286
- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] A simple except cases added
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https://api.github.com/repos/pandas-dev/pandas/issues/21292 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21292/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21292/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21292/events | https://github.com/pandas-dev/pandas/issues/21292 | 328,714,279 | MDU6SXNzdWUzMjg3MTQyNzk= | 21,292 | DOC: doc string is not very clear for Series.quantile | {
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#### Problem description
What is ``a la`` ? Is it French or a typo ? Suggest change it to something easy to understand
https://github.com/pandas-dev/pandas/blob/f1631bec96dd9a1dc4890677b9c5475d0677e102/pandas/core/series.py#L1838-L1840
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
--... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21293 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21293/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21293/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21293/events | https://github.com/pandas-dev/pandas/pull/21293 | 328,715,191 | MDExOlB1bGxSZXF1ZXN0MTkyMTgwNzM1 | 21,293 | DOC: Fixing 'a la' confusion in series.quantile documentation | {
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- [x] closes #21292
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] Just clarified quantile doc a bit
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https://api.github.com/repos/pandas-dev/pandas/issues/21294 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21294/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21294/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21294/events | https://github.com/pandas-dev/pandas/issues/21294 | 328,724,783 | MDU6SXNzdWUzMjg3MjQ3ODM= | 21,294 | Dict/dict keys in DataFrame.__getitem__ | {
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```python
In [2]: pd.Series(index=range(10))[{1:2,3:4}]
Out[2]:
1 NaN
3 NaN
dtype: float64
In [3]: pd.Series(index=range(10))[{1:2,3:4}.keys()]
Out[3]:
1 NaN
3 NaN
dtype: float64
In [4]: pd.DataFrame(index=range(10), columns=range(10))[{1... | {
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"followers_url": "https://api.github... | 10 | 2018-06-02T10:14:33Z | 2018-09-19T20:46:20Z | 2018-09-19T14:23:27Z | NONE | null | I would like to know from inside the code which pandas git revision I am running at the moment. So I can easily confirm I am on proper branch/revision when testing some new features/bug fixes.
Is it possible in pandas? If it isn't I would like this issue to be FR for such functionality. Just git commit hash is enough.... | {
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"followers_url": "https://api.github... | 2 | 2018-06-02T14:45:00Z | 2018-08-20T11:07:35Z | 2018-08-20T11:07:35Z | CONTRIBUTOR | null | Calling `pd.Series(EA).astype(object)` will always generate an intermediate NumPy array and never delegate to the `astype` method of the `ExtensionArray`.
Callstack is as follows:
1. `pd.Series(EA).astype()`
2. (omitting some intermediates)
3. `pandas.core.internals.Block._astype` calls `self.get_values()` in h... | {
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More info on our website (https://www.featuretools.com/) and GitHub (https://github.com/featuretools/featuretools/). | {
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```python
import pandas as pd
from enum import Enum
MyEnum = Enum("MyEnum", "A B")
df = pd.DataFrame(columns=pd.MultiIndex.from_product(iterables=[MyEnum, [1, 2]])) # TypeError: 'values' is not ordered, please explicitly specify the categories order by p... | {
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# Your code here
I use code in pandas guide as an example
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.IndexSlice.html
while we using a loc to select some data we want, we hope the result has result's index, not the raw dataframe's index... | {
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closes #21118
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fix a problem where encoding wasn't handled properly in to_csv compression in Python 3. It was caused by dumping uncompressed csv on disk and reading it back to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21301/events | https://github.com/pandas-dev/pandas/pull/21301 | 328,817,263 | MDExOlB1bGxSZXF1ZXN0MTkyMjQwNjI1 | 21,301 | Added argument to autocorrelation_plot | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21302/events | https://github.com/pandas-dev/pandas/pull/21302 | 328,823,184 | MDExOlB1bGxSZXF1ZXN0MTkyMjQ0MTkw | 21,302 | Added parameter to the autocorr plot and code for partial autocorr plot | {
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... | closed | false | null | [] | null | 6 | 2018-06-03T12:06:59Z | 2018-11-01T01:39:57Z | 2018-11-01T01:39:57Z | NONE | null | Added additional parameters to the autocorrelation_plot to be able to plot a specified number of lags and additional code for plotting the partial autocorrelation plot together with p and q value.
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21303/events | https://github.com/pandas-dev/pandas/issues/21303 | 328,837,341 | MDU6SXNzdWUzMjg4MzczNDE= | 21,303 | Poisson (exponential) window for pandas.Series.rolling | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-06-03T15:23:26Z | 2019-05-07T11:31:41Z | 2019-05-07T11:31:41Z | NONE | null | #### Problem Description
In [`pandas.Series.rolling`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.rolling.html), the [SciPy window type `exponential`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.windows.exponential.html#scipy.signal.windows.exponential) has not been imple... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21304/events | https://github.com/pandas-dev/pandas/issues/21304 | 328,847,271 | MDU6SXNzdWUzMjg4NDcyNzE= | 21,304 | Timeframes that don't evenly subdivide one day. | {
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Here's a better example: I want to resample daily data to weekly timeframe but with every week starting on the first day of the month so this month the first weekly data point would go from 1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21305/events | https://github.com/pandas-dev/pandas/issues/21305 | 328,848,633 | MDU6SXNzdWUzMjg4NDg2MzM= | 21,305 | Direct delegation of Series methods to ExtensionArrays | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21306/events | https://github.com/pandas-dev/pandas/issues/21306 | 328,908,805 | MDU6SXNzdWUzMjg5MDg4MDU= | 21,306 | shebang typo in generate_legacy_storage_files.py | {
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"followers_url": "https://api.github... | 1 | 2018-06-04T05:00:42Z | 2018-06-04T11:21:23Z | 2018-06-04T11:21:23Z | CONTRIBUTOR | null | #### Problem description
The shebang line at the top of https://github.com/pandas-dev/pandas/blob/master/pandas/tests/io/generate_legacy_storage_files.py#L1 has an incorrect interpreter.
It is currently set to ```/usr/env/bin python```
#### Expected Output
The interpreter should instead be set to ```/usr/bi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21307/events | https://github.com/pandas-dev/pandas/pull/21307 | 328,909,581 | MDExOlB1bGxSZXF1ZXN0MTkyMjk4NDYy | 21,307 | TST: fix shebang typo | {
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"followers_url": "https://api.github... | 2 | 2018-06-04T05:06:39Z | 2018-06-05T06:24:05Z | 2018-06-04T11:21:23Z | CONTRIBUTOR | null | Fix shebang typo in generate_legacy_storage_files.py
- [x] closes #21306 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21308/events | https://github.com/pandas-dev/pandas/issues/21308 | 328,912,155 | MDU6SXNzdWUzMjg5MTIxNTU= | 21,308 | DOC: Add See Also section to IndexSlice docstring regarding removing unused levels | {
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Adding a "See Also" section to the docstring for [`IndexSlice`](https://pandas.pydata.org/pandas-docs/version/0.22/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21309/events | https://github.com/pandas-dev/pandas/issues/21309 | 328,955,807 | MDU6SXNzdWUzMjg5NTU4MDc= | 21,309 | DataFrame.[key] and .loc[:, key] with non-unique columns returns frame if (and only if) columns are MultiIndex | {
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```python
In [2]: flat = pd.DataFrame(-1, index=range(2), columns=[0, 1, 1, 2, 3, 4])
In [3]: flat[0].__class__
Out[3]: pandas.core.series.Series
In [4]: flat.loc[:, 0].__class__
Out[4]: pandas.core.series.Series
In [5]: multi = pd.DataFrame(-1, index... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21310/events | https://github.com/pandas-dev/pandas/pull/21310 | 328,960,119 | MDExOlB1bGxSZXF1ZXN0MTkyMzM1NDc0 | 21,310 | REGR: allow merging on object boolean columns | {
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This is a quick/hacky fix for the specific case in that issue, i.e. merging boolean / object boolean columns.
However, I have the feeling we should do a more general solution for cases where object dtyped columns might be actually mergeable. The problem is ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21311/events | https://github.com/pandas-dev/pandas/issues/21311 | 328,967,099 | MDU6SXNzdWUzMjg5NjcwOTk= | 21,311 | BUG/API: Index constructor does not enforce specified dtype | {
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Manually specifying a dtype does not garantuee the output is in that dtype. Eg with Series if incompatible data is passed, an error is raised, while for Index it just silently outputs another dtype:
```python
In [11]: pd.Series(['a', 'b', 'c'], dtype='int64')... | {
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