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https://api.github.com/repos/pandas-dev/pandas/issues/26513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26513/events | https://github.com/pandas-dev/pandas/issues/26513 | 448,322,369 | MDU6SXNzdWU0NDgzMjIzNjk= | 26,513 | Allow Keyword Aggregation in DataFrame.agg and Series.agg | {
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```python
In [2]: df = pd.DataFrame({"A": [1, 2, 1, 2], "B": [1, 2, 3, 4]})
In [3]: df
Out[3]:
A B
0 1 1
1 2 2
2 1 3
3 2 4
In [4]: df.agg(foo=("B", "sum"))
```
Expected Output
```python
In [13]: df.agg({"B": {"foo": "sum"}})... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This PR fixes issues comparison of ordered categorical with missing values evaluates to True(#26504 ). Now making comparison with missing values always gives False. The missing... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26515/events | https://github.com/pandas-dev/pandas/issues/26515 | 448,359,240 | MDU6SXNzdWU0NDgzNTkyNDA= | 26,515 | BUG: Groupby.Apply(Drop_Duplicates) seems buggy | {
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... | open | false | null | [] | null | 1 | 2019-05-24T21:27:33Z | 2021-07-10T01:51:53Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
a = pd.DataFrame({'a': [1,2,3,1,2,3], 'b': [2,1,2,1,2,1]})
print(a['a'].groupby(a['b']).apply(lambda x: x.drop_duplicates()))
a = pd.DataFrame({'a': [1,2,1,1,2,3], 'b': [2,1,2,1,2,1]})
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pandas.
- [x] closes #26500
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Current errors are:
pandas\core\indexes\period.py:171: error: Incompatible types in assignment (expression has type "PeriodArray", base class "DatetimeIndexOpsMixin" defined the type as "None") | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
$ git diff upstream/master -u -- "*.py" | flake8 --diff && echo yes
yes
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Removes use of ``StringMixin`` from io.pytables and from io.stata. It's now only used in core.computation.
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https://api.github.com/repos/pandas-dev/pandas/issues/26523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26523/events | https://github.com/pandas-dev/pandas/pull/26523 | 448,483,001 | MDExOlB1bGxSZXF1ZXN0MjgyMjQxODky | 26,523 | CLN: remove StringMixin from code base, except in core.computation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26524/events | https://github.com/pandas-dev/pandas/pull/26524 | 448,530,756 | MDExOlB1bGxSZXF1ZXN0MjgyMjcyODAy | 26,524 | merging | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26525/events | https://github.com/pandas-dev/pandas/pull/26525 | 448,554,552 | MDExOlB1bGxSZXF1ZXN0MjgyMjg4Mjc4 | 26,525 | Select/Set memory layout order for DataFrames | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26526/events | https://github.com/pandas-dev/pandas/pull/26526 | 448,555,130 | MDExOlB1bGxSZXF1ZXN0MjgyMjg4NjU2 | 26,526 | Docstring GL01 GL02 fixes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26527/events | https://github.com/pandas-dev/pandas/issues/26527 | 448,557,848 | MDU6SXNzdWU0NDg1NTc4NDg= | 26,527 | Should we use URLs or refs in docstrings? | {
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ref:`categorical`
or
http://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26529/events | https://github.com/pandas-dev/pandas/pull/26529 | 448,561,312 | MDExOlB1bGxSZXF1ZXN0MjgyMjkyNzcw | 26,529 | Feature: Memory Layout of DataFrames ndarrays can be set/changed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26530 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26530/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26530/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26530/events | https://github.com/pandas-dev/pandas/issues/26530 | 448,577,375 | MDU6SXNzdWU0NDg1NzczNzU= | 26,530 | Drop by column index does not exist | {
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```python
>>> import pandas
>>> a = pandas.DataFrame({'a': [1,2,3], 'b': [4,5,6]})
>>> a = pandas.concat([a, a], axis=1)
>>> a
a b a b
0 1 4 1 4
1 2 5 2 5
2 3 6 3 6
>>> a.drop(0, axis=1)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/h... | {
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For better compatibility with numpy dtypes, `hasobject` could be added to `ExtensionDtype`. We use it to determine if columns contain Python objects or not, but it does not work with sparse column types which are extending `ExtensionDtype`.
#### Output of ``pd.show_versions()``
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https://api.github.com/repos/pandas-dev/pandas/issues/26532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26532/events | https://github.com/pandas-dev/pandas/issues/26532 | 448,585,271 | MDU6SXNzdWU0NDg1ODUyNzE= | 26,532 | Merge on key idenfitied by column index is not possible | {
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```python
>>> import pandas
>>> a = pandas.DataFrame([[1,2,3], [4,5,6], [7, 8, 9]], columns=['a', 'b', 'a'])
>>> b = pandas.DataFrame({'a': [1,1,1], 'c': [10,11,12]})
>>> a
a b a
0 1 2 3
1 4 5 6
2 7 8 9
>>> b
a c
0 1 10
1 1 11
2 1 12
>>> b.merge(a, left_on=0, r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26534 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26534/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26534/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26534/events | https://github.com/pandas-dev/pandas/pull/26534 | 448,669,838 | MDExOlB1bGxSZXF1ZXN0MjgyMzY5MDIz | 26,534 | BUG: assignment to multiple columns when some column do not exist | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
In particular, the following code now behaves correctly.
```python
import pandas as pd
df = pd.DataFrame({'a': [0, 1, 2], 'b': [3, 4, 5]})
df[['a', 'c']] = 1
print(df)
`... | {
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
$ pip3 install pandas
Collecting pandas
Using cached https://files.pythonhosted.org/packages/b2/4c/b6f966ac91c5670ba4ef0b0b5613b5379e3c7abdfad4e7b89a87d73bae13/pandas-0.24.2.tar.gz
ERROR: Complete output from command python setup.py egg_info:
ERROR: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26537/events | https://github.com/pandas-dev/pandas/pull/26537 | 448,814,600 | MDExOlB1bGxSZXF1ZXN0MjgyNDgyNTAy | 26,537 | Add reader for SPSS (.sav) files | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I haven't added a test yet because I wanted to ask which test .sav file I should use (and where to put it).... | {
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... | open | false | null | [] | null | 9 | 2019-05-27T17:33:09Z | 2021-03-02T05:34:31Z | null | NONE | null |
I have dataframe with 3 columns.The objective is to calculate rolling sum of n consecutive observations and minimum time of those n observations.
I got ValueError in following code:
```python
import pandas as pd
df = pd.DataFrame({'time': ['09:16:00', '09:17:00', '09:15:00','09:20:00',
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- [x] tests passed
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... | open | false | null | [] | null | 0 | 2019-05-27T20:20:10Z | 2020-04-02T04:32:07Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
Holiday(
name="Health and Sports Day", # TODO: shift to July 24 in 2020 for Olympics
month=10,
day=1,
start_date=Timestamp(2000, 1, 1),
offset=DateOffset... | {
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```python
# I have a dataset of part2 and part5
part2 = pd.DataFrame([1,3,4,2,452,2,4,1,4,3,1,4,31,57,8,9,1,1,2,2,12,1,5,4,123,5,6,7,87])
part5 = pd.DataFrame([1,2,3,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,1,123,4])
```
```
part2.rolling(3).corr(part5)
```
0
--
NaN
NaN
9.819805e-01
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"color": "53... | open | false | null | [] | null | 6 | 2019-05-28T07:03:25Z | 2021-07-10T01:56:24Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame(columns=['a','b1','c1','d1','b2','c2','d2','b3','c3','d3','e'])
# ISSUE 1: EXPECTING (2,5,8)
>>> df.columns.slice_locs(start='c1',end='c3', step=3, kind='ix')
(2, 9)
>>> df.columns.slice_locs(start='c1',end='c3', step=3, kind='l... | {
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0.24.2.
[74872_zh_CN_UI.txt](https://github.com/pandas-dev/pandas/files/3227255/74872_zh_CN_UI.txt)
when I use read_csv function with engine 'python' like this:
`b = pd.read_csv("/Users/GHIBLI/Documents/vmware-L10n/be... | {
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```
=================================== FAILURES ===================================
____________ TestDataFrameConstructors.test_constructor_list_frames ____________
[gw1] linux -- Python 3.7.3 /home/vsts/miniconda3/envs/pandas-dev/bin/python
self = ... | {
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```
ci/setup_env.sh: line 121: [: ==: unary operator expected
```
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When fixed and new wheels are available, this will fail again, but we can merge PRs in the meantime. | {
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Python 2.7.12
```python
## !pip2 install numexpr --user
import pandas as pd
dfc = pd.DataFrame(map(str,range(10)),columns=['colA'])
dfc.query('colA.str.contains("0")',engine="numexpr")
```
#### Problem description
Cannot use `pd.Series.str` accessor in ... | {
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closes #23743 | {
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```python
ticker = 'AA'
stocks_close_df = pd.read_parquet(
'data/v4.parquet',
columns=['DateTime', 'Close', 'Ticker'],
engine='pyarrow',
filters=[('Ticker','=',ticker)]
)
# This is what the above should effect
stocks_close_df = stocks... | {
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I would think this is also much easier than deprecating xlrd since we have other writers already implemented. | {
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```python
In [11]: import scipy.sparse
In [12]: m = scipy.sparse.csr_matrix(np.array([[0,1],[0,0]]))
In [13]: pd.Series.sparse.from_coo(m)
---------------------------... | {
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```python
In [5]: sparse_df = pd.SparseDataFrame(np.array([[1,2, np.nan], [np.nan, 5, 6]]), columns=['a','b','c'])
/home/joris/miniconda3/envs/dev37/bin/ipython:1: FutureWarning: SparseDataFrame is deprecated and will be removed in a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26556 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26556/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26556/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26556/events | https://github.com/pandas-dev/pandas/pull/26556 | 449,642,130 | MDExOlB1bGxSZXF1ZXN0MjgzMTI3OTE2 | 26,556 | TST/CLN: Fixturize tests/frame/test_quantile.py | {
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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`Series.to_dense` already is disfunctional (https://github.com/pandas-dev/pandas/issues/25680), and `DataFrame.to_dense` can be replaced with `DataFrame.sparse.to_dense()`.
And the `to_sparse` methods return a SparseSeries / SparseDa... | {
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... | 4 | 2019-05-29T09:39:08Z | 2021-07-10T01:58:53Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import datetime
df1 = pd.DataFrame(
data = [10],
index = pd.MultiIndex.from_tuples([('Z', '2019-05-31')]),
columns= ['A']
)
df2 = pd.DataFrame(
data = [20],
index = pd.MultiIndex.from_tuples([('Z', d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26559 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26559/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26559/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26559/events | https://github.com/pandas-dev/pandas/issues/26559 | 449,728,525 | MDU6SXNzdWU0NDk3Mjg1MjU= | 26,559 | Default string to be treated as missing value in a series. | {
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I wanted to use default string as a representation for missing values for my project. Is there a way to incorporate inside my pandas lib or implementing it in the project is the only way to do?
For example : I want to use '?' to show that my some value in my datetime typ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26560/events | https://github.com/pandas-dev/pandas/issues/26560 | 449,747,770 | MDU6SXNzdWU0NDk3NDc3NzA= | 26,560 | Feature request: make get_dummies() better usable for data frames with multi-index columns | {
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] | open | false | null | [] | null | 0 | 2019-05-29T11:18:47Z | 2019-11-02T21:38:59Z | null | NONE | null | #### Feature request
The post is derived from my post on SO: https://stackoverflow.com/questions/56352100
`get_dummies()` treats data frames with multi-index columns pretty clumsily: The multi-index tuple is converted into a string and the same suffix mechanism applies as with the simple-index columns.
```pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26561/events | https://github.com/pandas-dev/pandas/pull/26561 | 449,748,621 | MDExOlB1bGxSZXF1ZXN0MjgzMjEyNzY4 | 26,561 | BUG: ignore errors for invalid dates in to_datetime() with errors=coerce (#25512) | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-29T11:20:50Z | 2019-06-01T14:45:56Z | 2019-06-01T14:45:07Z | CONTRIBUTOR | null | - [x] closes #25512
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
parsing.try_parse_year_month_day() in _attempt_YYYYMMDD() throws not only ValueError but also OverFlowError for incorrect dates. So handling of this error was added.
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https://api.github.com/repos/pandas-dev/pandas/issues/26562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26562/events | https://github.com/pandas-dev/pandas/pull/26562 | 449,904,970 | MDExOlB1bGxSZXF1ZXN0MjgzMzM5MjQz | 26,562 | Provide ExtensionDtype.construct_from_string by default | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I think it makes sense to provide a standard `construct_from_string` by default, instead of forcing subclasses of `ExtensionDtype` to implement it.
This way we can define a si... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26563 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26563/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26563/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26563/events | https://github.com/pandas-dev/pandas/issues/26563 | 449,950,025 | MDU6SXNzdWU0NDk5NTAwMjU= | 26,563 | Remove gtk imports from codebase | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-05-29T18:12:15Z | 2019-06-02T21:09:45Z | 2019-06-02T21:09:45Z | MEMBER | null | We have a few "import gtk" imports in the clipboards part of the code base but I cannot find any information as to what these actually are, so I assume these are especially outdated given our drop of Py27 support.
I *think* this used to be a part of PyGTK, but links to that (like http://www.pygtk.org/) seem to redir... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26564/events | https://github.com/pandas-dev/pandas/issues/26564 | 449,966,231 | MDU6SXNzdWU0NDk5NjYyMzE= | 26,564 | `pd.groupby` seems to mutate my `pd.Grouper` in-place | {
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... | 3 | 2019-05-29T18:50:34Z | 2019-11-22T23:06:05Z | null | NONE | null | #### Code Sample (copy-pastable)
```python
import pandas as pd
df1 = pd.DataFrame([["a", 1, 2, "05/29/2019"], ["a", 4, 5, "05/28/2019"], ["b", 2, 3, "05/27/2019"]], columns=["type", "num1", "num2", "date"]).assign(date=lambda df: pd.to_datetime(df["date"]))
df2 = pd.DataFrame(columns=["type", "num1", "num2", "d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26565/events | https://github.com/pandas-dev/pandas/pull/26565 | 449,990,584 | MDExOlB1bGxSZXF1ZXN0MjgzNDA2OTMz | 26,565 | PERF: don't call RangeIndex._data unnecessarily | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-05-29T19:50:55Z | 2019-06-01T17:28:14Z | 2019-06-01T17:03:59Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I've looked into ``RangeIndex`` and found that the index type creates and caches a int64 array if/when ``RangeIndex._data`` property is being called. This basically means that in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26566/events | https://github.com/pandas-dev/pandas/issues/26566 | 449,990,823 | MDU6SXNzdWU0NDk5OTA4MjM= | 26,566 | read_excel and ExcelFile engine conflict | {
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```python
>>> xl = pd.ExcelFile('foo.xlsx', engine='xlrd')
>>> pd.read_excel(xl, engine='openpyxl')
Empty DataFrame
Columns: []
Index: []
```
Though ambiguous as to which engine is actually being used. I think we should be raising if an engine is specified in `read_excel` when ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26567 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26567/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26567/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26567/events | https://github.com/pandas-dev/pandas/issues/26567 | 450,011,441 | MDU6SXNzdWU0NTAwMTE0NDE= | 26,567 | RecursionError with DataFrame.replace() where to_replace is an empty list | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-05-29T20:43:10Z | 2019-05-29T21:25:40Z | 2019-05-29T21:25:27Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame([1,2,3,4,5])
df.replace([], 99, inplace=False)
```
#### Problem description
The current output is a recursion error. It is throwing an exception which then goes into an infinite exception loop (``During hand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26568/events | https://github.com/pandas-dev/pandas/issues/26568 | 450,029,408 | MDU6SXNzdWU0NTAwMjk0MDg= | 26,568 | BUG: pivot_table with margins=True and numeric columns is buggy | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 2 | 2019-05-29T21:29:52Z | 2021-07-23T08:52:25Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
Setup:
```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+620.ga91da0c94e'
In [2]: df = pd.DataFrame([['a', 'x', 1], ['a', 'y', 2],
...: ['b', 'y', 3], ['b', 'z', 4]])
In [3]: df
Out[3]:
0 1 2
0 a x ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26569 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26569/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26569/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26569/events | https://github.com/pandas-dev/pandas/issues/26569 | 450,065,277 | MDU6SXNzdWU0NTAwNjUyNzc= | 26,569 | Possible memory leak bug with `to_sql` with chunksize ? | {
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```
from sqlalchemy import create_engine
engine = sqlalchemy.create_engine("sqlite:///databasefile.db")
dataframe.to_sql("CS_table", engine, chunksize = 100)
```
#### Problem description
I created a large database in Pandas, about 6 million rows of text... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26570/events | https://github.com/pandas-dev/pandas/pull/26570 | 450,161,869 | MDExOlB1bGxSZXF1ZXN0MjgzNTQwMTQ3 | 26,570 | BUG: Fix RecursionError when using a scalar point to select IntervalIndex columns | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/26571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26571/events | https://github.com/pandas-dev/pandas/pull/26571 | 450,261,227 | MDExOlB1bGxSZXF1ZXN0MjgzNjE4ODcz | 26,571 | DOC: sparse doc fixups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26572 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26572/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26572/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26572/events | https://github.com/pandas-dev/pandas/issues/26572 | 450,293,361 | MDU6SXNzdWU0NTAyOTMzNjE= | 26,572 | The DataFrame.to_dict method is inconsistent when there are no columns and orient='records'. | {
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] | closed | false | null | [] | null | 1 | 2019-05-30T12:54:14Z | 2019-05-30T14:49:32Z | 2019-05-30T14:49:32Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame([{}, {}, {}])
df.to_dict(orient='records')
# Output: []
```
#### Problem description
The `DataFrame.to_dict` method is inconsistent when there are no columns and `orient='records'`.
I think that this is a recent regression, since it was n... | {
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] | closed | false | null | [] | null | 2 | 2019-05-30T13:30:26Z | 2019-08-21T16:31:33Z | 2019-08-21T16:31:33Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Sadly I am having troubles creating a small reproducible example of this issue, as the problem seems to disappear if I pickle the dataframes and re-load them. I can only see what is happening in a pdb session, and for large MultiIndexed dataframes, which makes th... | {
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documentation is a good place to start for new contributors.
should a doc build be included in CI to ensure that the documentation builds smoothly on Windows?
if so:
- should a build failure be an allowed failure?
- should it be a s... | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2019-05-30T14:31:41Z | 2019-05-30T19:17:06Z | 2019-05-30T19:16:58Z | CONTRIBUTOR | null | Fix benchmark suite import error on master and 0.23.
Run `asv check` on all commits to lint the benchmark suite.
Also, fixed a timeout error that appears on newer asv versions,
which have an updated asizeof.py module. | {
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df = pd.read_csv(file_path, parse_dates=['dateTime'])
df.to_csv(file_path, date_format='%Y-%m-%d %H:%M:%S',header=True,index=False)
output:
Unnamed: 0,dateTime,ID,open,high,low,close,vol,SplitAdjustment,DivAdjustment,DividendPerShare,SplitFactor
0,2002-05-30 00:00:00,5000... | {
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https://travis-ci.org/pandas-dev/pandas/jobs/539282780 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26578 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26578/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26578/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26578/events | https://github.com/pandas-dev/pandas/pull/26578 | 450,446,976 | MDExOlB1bGxSZXF1ZXN0MjgzNzY0Mjc1 | 26,578 | CLN: use RangeIndex._range instead of RangeIndex._start etc. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Make RangeIndex use python's ``range`` internally, rather than the three scalars ``_start``, ``_stop`` and ``_step``.
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https://api.github.com/repos/pandas-dev/pandas/issues/26579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26579/events | https://github.com/pandas-dev/pandas/pull/26579 | 450,455,945 | MDExOlB1bGxSZXF1ZXN0MjgzNzcxNTQ2 | 26,579 | Remove SharedItems from test_excel | {
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@simonjayhawkins | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26580/events | https://github.com/pandas-dev/pandas/pull/26580 | 450,462,629 | MDExOlB1bGxSZXF1ZXN0MjgzNzc2OTA5 | 26,580 | ENH: Named aggregation in SeriesGroupBy.agg | {
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In [4]: animals = pd.DataFrame({'kind': ['cat', 'dog', 'cat', 'dog'],
...: 'height': [9.1, 6.0, 9.5, 34.0],
...: 'weight': [7.9, 7.5, 9.9, 198.0]})
...: animals.groupby("kind").height.agg(max_height='max')
Out[4]:
max_height
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Make RangeIndex use python's ``range`` internally, rather than the three scalars ``_start``, ``_stop`` and ``_step``.
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https://api.github.com/repos/pandas-dev/pandas/issues/26582 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26582/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26582/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26582/events | https://github.com/pandas-dev/pandas/issues/26582 | 450,546,861 | MDU6SXNzdWU0NTA1NDY4NjE= | 26,582 | Failing tests due to change in matplotlib behaviour in 3.1.0 | {
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"d... | closed | false | null | [] | null | 2 | 2019-05-30T23:18:40Z | 2019-06-09T18:21:52Z | 2019-06-09T18:21:42Z | MEMBER | null | The allowed failures on Travis is currently failing on TestDataFramePlots.test_subplots
the matplotlib version used has changed today from 3.0.3 to 3.1.0
#### Code Sample, a copy-pastable example if possible
```python
import matplotlib
print(matplotlib.__version__)
import numpy as np
import string
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In [1]: pd.__version__
Out[1]: '0.25.0.dev0+625.g8154efb0c'
```
```python
pd.to_datetime(20199911, format="%Y%m%d", errors='ignore')
pd.to_datetime(2019121212, format="%Y%m%d", errors='ignore')
```
throws "TypeError: 'int' object is unsliceable" instead of returning initial values
```python
Trac... | {
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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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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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array_strptime returned TypeError when trying to slice 'too long' integer for the given format %Y%m%d (for example 2121010101).
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xref https://github.com/numpy/numpy/pull/13663
Closes https://github.com/pandas-dev/pandas/issues/26546
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```python
import pandas as pd
print(pd.DataFrame({0:{'B':'First row','A':'Second row'}}))
print(pd.DataFrame([{'B':'First column','A':'Second column'}]))
```
Results in
```
0
A Second row
B First row
A B
0 Second column First column
```
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https://travis-ci.org/MacPython/pandas-wheels/builds/539541484 (the builds)
just started failing
cc @pandas-dev/pandas-core | {
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```python
import pandas as pd
stages = ("a", "b", "c")
stats = ("s0", "s1", "s2")
index = pd.MultiIndex.from_product([stages, stats], names=("lev0", "lev1"))
df = pd.DataFrame(index=index, columns=["f0", "f1"])
df
```
:
NROWS = 10
return (pd.DataFrame({'i1': range(NROWS),
'f1': np.arange(NROWS) / NROWS})
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Relevant discussions:
https://github.com/pandas-dev/pandas/pull/25637#discussion_r289042255
https://github.com/pandas-dev/pandas/pull/25637#discussion_r289441644
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https://api.github.com/repos/pandas-dev/pandas/issues/26597 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26597/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26597/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26597/events | https://github.com/pandas-dev/pandas/issues/26597 | 450,910,280 | MDU6SXNzdWU0NTA5MTAyODA= | 26,597 | Rolling standard deviation fails when used with win_type | {
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```python
import pandas as pd
df = pd.DataFrame({'a': range(6)})
df['a'].rolling(3, win_type='blackman').agg(['mean', 'std'])
```
#### Problem description
When calculating rolling aggregations with a window function, sometimes there is an error which is q... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26598/events | https://github.com/pandas-dev/pandas/pull/26598 | 450,915,129 | MDExOlB1bGxSZXF1ZXN0Mjg0MTQwMDQx | 26,598 | CLN: remove sample_time attributes from benchmarks | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-31T17:57:53Z | 2019-06-01T14:08:37Z | 2019-06-01T14:08:20Z | CONTRIBUTOR | null | Very minor benchmark cleanup now that I was on it...
These attributes appear to have been brought in by direct replacement of a
deprecated ASV attribute goal_time -> sample_time, but the two have
different semantics (the value sample_time=0.2 is 20x the default).
Increasing this from the default value is probably... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26599 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26599/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26599/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26599/events | https://github.com/pandas-dev/pandas/issues/26599 | 450,987,680 | MDU6SXNzdWU0NTA5ODc2ODA= | 26,599 | Compression keyword for Stata and others? | {
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I was trying to open zipped Stata files and thought one could do it as in ``read_csv``using the ``compression='zip'`` keyword option. Is this not implemented? Saw #15644 and follow ups, but at the time it seems the discussion was about output not input files. In many cases providers give Stata files in zip form... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26600/events | https://github.com/pandas-dev/pandas/pull/26600 | 451,052,388 | MDExOlB1bGxSZXF1ZXN0Mjg0MjQ4NzQw | 26,600 | MAINT: Condense TIMEZONE_IDS construction | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26601/events | https://github.com/pandas-dev/pandas/issues/26601 | 451,072,226 | MDU6SXNzdWU0NTEwNzIyMjY= | 26,601 | CI: Use azure-pipelines reporting for pytest data | {
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We are already using this for the linting, where we output flake8 errors like `##vso[task.logissue type=error;sourcepath=%(path)s;linenumber=%(row)s;columnnumber=%(col)s;code=%(code)s;]%(text)s` (see `ci/code_checks.sh`)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26602/events | https://github.com/pandas-dev/pandas/pull/26602 | 451,093,330 | MDExOlB1bGxSZXF1ZXN0Mjg0Mjc2NjYy | 26,602 | CI: Disabling dev docs push from azure-pipelines while we fix it | {
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See: #26591
CC: @jreback
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https://api.github.com/repos/pandas-dev/pandas/issues/26603 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26603/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26603/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26603/events | https://github.com/pandas-dev/pandas/pull/26603 | 451,094,187 | MDExOlB1bGxSZXF1ZXN0Mjg0Mjc3MjU5 | 26,603 | TST/CLN: deduplicate fixture from test_to_latex.py | {
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once there, there is opportunities to re-use by fixturising current instances of
```
df = DataFrame(tm.getSeriesData())
```
also allows removing duplicate fixture from pandas/tests/io/formats/test_to_latex.py
so this is j... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26604/events | https://github.com/pandas-dev/pandas/pull/26604 | 451,095,164 | MDExOlB1bGxSZXF1ZXN0Mjg0Mjc3OTMx | 26,604 | CI: Changing dev docs ssh key | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-06-01T15:15:21Z | 2019-06-01T16:09:22Z | 2019-06-01T15:34:58Z | MEMBER | null | #26591 made master builds to fail. Looks like there was a problem with the ssh keys. I regenerated them and updated them in the github deployment keys and azure pipelines secret. Updating the settings here.
CC: @jreback
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https://api.github.com/repos/pandas-dev/pandas/issues/26605 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26605/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26605/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26605/events | https://github.com/pandas-dev/pandas/pull/26605 | 451,096,818 | MDExOlB1bGxSZXF1ZXN0Mjg0Mjc5MDMy | 26,605 | PERF: Add if branch for empty sep in str.cat | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26606 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26606/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26606/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26606/events | https://github.com/pandas-dev/pandas/pull/26606 | 451,097,672 | MDExOlB1bGxSZXF1ZXN0Mjg0Mjc5NTg0 | 26,606 | Clean up ufuncs post numpy bump | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26607 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26607/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26607/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26607/events | https://github.com/pandas-dev/pandas/pull/26607 | 451,098,483 | MDExOlB1bGxSZXF1ZXN0Mjg0MjgwMTA0 | 26,607 | Better error for str.cat with listlike of wrong dtype. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This had been blocked on #23167. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26608 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26608/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26608/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26608/events | https://github.com/pandas-dev/pandas/pull/26608 | 451,099,016 | MDExOlB1bGxSZXF1ZXN0Mjg0MjgwNDU3 | 26,608 | TST/API: Forbid str-accessor for 1-level MultiIndex | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Another PR that had been blocked by #23167. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26609/events | https://github.com/pandas-dev/pandas/pull/26609 | 451,100,749 | MDExOlB1bGxSZXF1ZXN0Mjg0MjgxNTM5 | 26,609 | CI: Removing doc build in azure | {
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] | closed | false | null | [] | null | 2 | 2019-06-01T16:14:38Z | 2019-06-01T17:15:20Z | 2019-06-01T16:46:56Z | MEMBER | null | Stop building the docs in azure. Beside not working, azure became unreliable, raising random errors for unrelated changes.
See: #26591 #26602 #26604
CC: @jreback (sorry for the trouble, hopefully this takes things back to normality) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26610/events | https://github.com/pandas-dev/pandas/issues/26610 | 451,118,052 | MDU6SXNzdWU0NTExMTgwNTI= | 26,610 | Read from HDF with empty `where` throws an error | {
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```python
df = pd.DataFrame(np.random.rand(4,4))
where = ''
with pd.HDFStore('test.h5') as store:
store.put('df', df, 't')
store.select('df', where = where)
```
#### Problem description
Wanted to be able construct "by hands" and save `where` condition for later, so declare it as vari... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26611/events | https://github.com/pandas-dev/pandas/issues/26611 | 451,122,942 | MDU6SXNzdWU0NTExMjI5NDI= | 26,611 | Groupby with multiple aggregations doesn't pass through positional or keyword arguments. | {
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```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({"A": [1, 2]})
In [3]: def f(x, y):
...: return x.sum() + y
...:
In [4]: df.groupby([0, 0]).agg(f, 10)
Out[4]:
A
0 13
```
But not for multiple.
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https://api.github.com/repos/pandas-dev/pandas/issues/26612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26612/events | https://github.com/pandas-dev/pandas/pull/26612 | 451,136,870 | MDExOlB1bGxSZXF1ZXN0Mjg0MzA1NzY3 | 26,612 | CLN: Remove convert_objects | {
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