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https://api.github.com/repos/pandas-dev/pandas/issues/22912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22912/events | https://github.com/pandas-dev/pandas/pull/22912 | 365,250,829 | MDExOlB1bGxSZXF1ZXN0MjE5MjIwNzc2 | 22,912 | API/DEPR: 'periods' argument instead of 'n' for PeriodIndex.shift() | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
In order to be consistent with `Index.shift` & `Series.shift` & `DatetimeIndex.shift`, `n` argument was deprecated in favor of `periods`.
```
In [2]: idx = pd.PeriodIndex(f... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Import optimiser, makes things alphabetical and also removes unused eg, `Float64Index`, in `packers.py`. Do people prefer this or not? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22914/events | https://github.com/pandas-dev/pandas/issues/22914 | 365,271,811 | MDU6SXNzdWUzNjUyNzE4MTE= | 22,914 | Series.sort_values issue when values are data types | {
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import pandas as pd
import numpy as np
n = 100
df = pd.DataFrame({"a": np.random.randn(n),
"b": ["2018-01-01"] * n})
df[["c", "d"]] = df
# works as expected
df.dtypes.sort_values()
df["b"] = pd.to_datetime(df["b"])
df["d"] = pd.to_datetime(df["d"])
# the datetimes are... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22915/events | https://github.com/pandas-dev/pandas/pull/22915 | 365,276,410 | MDExOlB1bGxSZXF1ZXN0MjE5MjM3MjIx | 22,915 | [WIP] API/CLN: Refactor DataFrame.append | {
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*PR will be split into multiple smaller ones, as suggested*
### How it is
DataFrame.append method is pretty confusing as it is... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I removed the except block in pandas/io/pickle.py:172:13 because the only difference between the try block and the except block was one parameter in the call to pc.load, and the... | {
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For some of the cython code I get unexplained test failures when using fused types. Vaguely hoping to narrow down the set of affected functions so as to make a helpful bug report to cython. | {
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- [x] tests added / passed
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"followers_url": "https://api.github... | 4 | 2018-10-01T01:57:14Z | 2018-10-02T22:35:49Z | 2018-10-02T21:14:49Z | CONTRIBUTOR | null | This PR changes bare excepts in `pandas/io/pytables.py` to more specific exceptions. I defaulted to using specific exceptions that seemed likely/triggered test errors, but it may be the case that I'm missing some or it's better to leave it as `Exception`.
- [x] closes #22874
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"id": 233160... | closed | false | null | [] | null | 8 | 2018-10-01T07:18:21Z | 2018-10-03T00:01:15Z | 2018-10-03T00:01:09Z | CONTRIBUTOR | null | - [x] closes #22893
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Updated docstring following https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html
I changed the examples into similar ones that I thought better demonstra... | {
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```python
import pandas as pd
pd.__version__
# u'0.23.4'
a = pd.DataFrame(columns=['refA', 'dataA'], data=[[1, 'bla']])
b = pd.DataFrame(columns=['refB', 'dataB'], data=[[2, 'pff']]).set_index('refB')
m = a.merge(b, left_on='refA', right_index=True)
# merged dataframe contains only colu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22922/events | https://github.com/pandas-dev/pandas/issues/22922 | 365,385,720 | MDU6SXNzdWUzNjUzODU3MjA= | 22,922 | Avoid listifying left/right operand in ExtensionArray ops dispatching | {
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"followers_url": "https://api.github... | 8 | 2018-10-01T09:51:02Z | 2018-10-19T12:08:34Z | 2018-10-19T12:08:34Z | MEMBER | null | We now have the follow code in the ExtensionArray ops dispatching:
https://github.com/pandas-dev/pandas/blob/2f1b842119bc4d5242b587b62bde71d8f7ef19f8/pandas/core/ops.py#L1169-L1192
There are a few places where we convert the values to a list, which should be avoided. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22923/events | https://github.com/pandas-dev/pandas/issues/22923 | 365,406,786 | MDU6SXNzdWUzNjU0MDY3ODY= | 22,923 | RLS/DOC: move 0.23.5 back to 0.24.0 | {
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"followers_url": "https://api.github... | 4 | 2018-10-01T10:51:22Z | 2018-12-08T22:28:33Z | 2018-12-08T22:28:33Z | CONTRIBUTOR | null | since I think we are going to release within this month, let's nix 0.23.5. so this issue is to move the doc notes back to master and remove the 0.23.5 template. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22924/events | https://github.com/pandas-dev/pandas/issues/22924 | 365,425,490 | MDU6SXNzdWUzNjU0MjU0OTA= | 22,924 | BLD: wheel building failing | {
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cc @TomAugspurger | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22925/events | https://github.com/pandas-dev/pandas/pull/22925 | 365,482,719 | MDExOlB1bGxSZXF1ZXN0MjE5MzkyMzEx | 22,925 | Updated README.md | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22926/events | https://github.com/pandas-dev/pandas/pull/22926 | 365,492,983 | MDExOlB1bGxSZXF1ZXN0MjE5NDAwMjIw | 22,926 | TST/CLN: Fixturize tests/frame/test_block_internals.py | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/22927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22927/events | https://github.com/pandas-dev/pandas/pull/22927 | 365,528,328 | MDExOlB1bGxSZXF1ZXN0MjE5NDI3NzQ3 | 22,927 | Support passing function to Appender | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22928/events | https://github.com/pandas-dev/pandas/pull/22928 | 365,531,018 | MDExOlB1bGxSZXF1ZXN0MjE5NDI5Nzc2 | 22,928 | Solved issue #22471 Replaced TestData with fixtures | {
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- [ ] tests updated
- [ ] removed TestData from frame-tests, replace with fixtures
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https://api.github.com/repos/pandas-dev/pandas/issues/22929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22929/events | https://github.com/pandas-dev/pandas/issues/22929 | 365,603,053 | MDU6SXNzdWUzNjU2MDMwNTM= | 22,929 | DOC: DateOffset with month around end of February does not reproduce consecutive dates | {
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```python
df = pd.DataFrame([1,2,3], index=pd.DatetimeIndex(start='2018-02-27', periods=3, freq='D'), columns=['A'])
df.index
```
returns
`DatetimeIndex(['2018-02-27', '2018-02-28', '2018-03-01'], dtype='datetime64[ns]', freq='D')`
Performing the followin... | {
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"followers_url": "https://api.github... | 8 | 2018-10-01T21:27:53Z | 2018-10-08T13:53:06Z | 2018-10-08T13:53:06Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: from pandas.tests.extension.decimal.array import *
In [2]: arr = DecimalArray([decimal.Decimal(1), decimal.Decimal(2), decimal.Decimal(3)])
In [3]: divmod(arr, 2)
Out[3]:
[(Decimal('0'), Decimal('1')),
(Decimal('1'), Decimal('0')),
... | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'B': [0, 1, np.nan, 3, 4], 'C': [4, 3, np.nan, 1, 0],
'Time': [pd.Timestamp('20130101 09:00:00'),
pd.Timestamp('20130101 09:00:01'),
pd.Timestamp('20130101 09:00:02'),
pd.Timestam... | {
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```python
>>> new_df = (df.groupby(...)
... .pipe(...)
>>> new_df.index.name = 'index_name'
>>> new_df.columns = pd.CategoricalIndex(new_df.columns)
>>> new_df = new_df.pipe(...) # and so o... | {
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- [ ] Reproduce locally with moto 1.3.6 or higher
- [ ] construct a minimal test case not using pandas, and ideally not using s3fs
- [ ] repor... | {
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The previous implementation was not great, since failing to override it would result in `Series([NotImplementedError, NotImplementedError...])`. We could raise instead, forcing downstream arrays to implement it, or just repeat `data`. I opted for the latter, which integer_array was already do... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Based on #22459. Fix the docstring for DataFrame.sample. I also updated `ci/doctests.sh`.
I was on the fence if I should remove mentions of `Panels` since it is deprecated. | {
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Updating the type to be the more correct `Period`.
Also removed the essentially unused `IntervalDtypeType`. If this doesn't break anything, it seems like there are decent chunks of `_get_dtype_type` that aren't being hit, aside from `test__get_dtype_type`.
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
- xref #21998, #18975
Implements `Interval.overlaps`, `IntervalArray.overlaps`, and `IntervalIndex.overlaps`.
Implementing this so there's an interval method that can be tested in the interval a... | {
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- Analytics.py fixtures added for issue #22471
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- [x] closes #9119
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http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#reorganization-of-the-library-privacy-changes should be captured somewhere more permanent than in a whatsnew release. source is at https://github.com/pandas-dev/pandas/blob/master/doc/source/what... | {
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I wonder, is it possible for EA authors to annotate which ops form an algebra for their Extension type, so that we can know ahead of time whether the result should be wrappe? Something like
```
_ops_return_ea = {
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```python
In [1]: import pandas as pd; import warnings
In [2]: df = pd.DataFrame({"b": [1, 2], "a": [3, 4]})
In [3]: warnings.filters.pop(0)
Out[3]: ('ignore', None, pandas.errors.ColumnOrderWarning, None, 0)
In [4]: df = pd.DataFrame({"b": [1, 2], "a": [3, 4]}... | {
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`.
Seems like this image is the one we've been using successfully until now, so I guess the problem is in Azure side. But not sure if they've changed the name or deprecated the image we are using, so we may need to ch... | {
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- [ ] tests added / passed
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#22885
Following the suggestions of @datapythonista, I moved all the `setup` imports for the benchmark files to the end of each file and added a `# noqa: F401` like so:
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"followers_url": "https://api.github... | 3 | 2018-10-02T17:55:01Z | 2018-10-02T21:37:06Z | 2018-10-02T18:25:23Z | CONTRIBUTOR | null | Closes #22946
copying https://github.com/numba/numba/pull/3371/files | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22949/events | https://github.com/pandas-dev/pandas/pull/22949 | 366,023,126 | MDExOlB1bGxSZXF1ZXN0MjE5ODAwNjc2 | 22,949 | Use ._tshift internally for datetimelike ops | {
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"followers_url": "https://api.github... | 6 | 2018-10-02T18:26:44Z | 2018-10-05T12:00:43Z | 2018-10-05T12:00:39Z | CONTRIBUTOR | null | In preperation for PeriodArray / DatetimeArray / TimedeltaArray.
Index.shift has a different meaning from ExtensionArray.shift.
- Index.shift pointwise shifts each element by some amount
- ExtensionArray.shift shits the *position* of each value in the array
padding the end with NA
This is going to get conf... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22950/events | https://github.com/pandas-dev/pandas/pull/22950 | 366,027,321 | MDExOlB1bGxSZXF1ZXN0MjE5ODA0MDAw | 22,950 | CI: deduplicate skip printing | {
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"followers_url": "https://api.github... | 12 | 2018-10-02T18:38:06Z | 2018-10-08T13:42:25Z | 2018-10-08T13:42:22Z | CONTRIBUTOR | null | Trying to cut down on the noise in the travis log. Right now, we print out skipped / xfailed tests twice. This removes the `-r` flag passed to `pytest`. The skipped tests output will still be available under the output of `ci/print_skipped.py`. I believe that azure automatically parses the XML output anyway.
cc @dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22951/events | https://github.com/pandas-dev/pandas/issues/22951 | 366,049,382 | MDU6SXNzdWUzNjYwNDkzODI= | 22,951 | Documentation improvement | {
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https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.pow.html#pandas.Series.pow
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.radd.html#pandas.Series.radd | {
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"followers_url": "https://api.github... | 30 | 2018-10-02T19:57:09Z | 2018-11-20T10:41:57Z | 2018-11-20T10:41:34Z | CONTRIBUTOR | null | - [x] closes #22903
- [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/22953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22953/events | https://github.com/pandas-dev/pandas/issues/22953 | 366,056,026 | MDU6SXNzdWUzNjYwNTYwMjY= | 22,953 | DOC: fill_value argument in Series.combine() | {
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On running this code, NaN is still returned and isnt replaced by 5.
```
#importing pandas module
import pandas as pd
#importing numpy module
import numpy as np
#creating first series
first=[1,2,np.nan,5,6,3,np.nan,7,11,0,4,8]
#creating secon... | {
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"description": "Extendin... | open | false | null | [] | null | 1 | 2018-10-02T20:28:37Z | 2021-06-23T00:36:55Z | null | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/blob/9caf04836ad34ca17da7b86ba7120cca58ce142a/pandas/core/internals/blocks.py#L2056
Should we get the ExtensionArray / ndarray backing the Series / Index at that point? As an EA author, I'd rather not have to worry about extracting the extension array from a Series in my fillna.
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https://api.github.com/repos/pandas-dev/pandas/issues/22955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22955/events | https://github.com/pandas-dev/pandas/issues/22955 | 366,082,825 | MDU6SXNzdWUzNjYwODI4MjU= | 22,955 | How to ignore the second white space in a row when the delimiter is set to whitespace | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-10-02T21:14:50Z | 2018-10-02T23:10:56Z | 2018-10-02T23:10:42Z | NONE | null | ```python
import pandas as pd
data = pd.read_csv('D:\\python\\python-cisco-status.txt', delim_whitespace=True, header=None)
for index, row in data.iterrows():
if row[4] == 'administratively down' or row[4] == 'down':
print(f"Interface {row[0]} is down in ")
```
#### Problem description
I am trying to read th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22956 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22956/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22956/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22956/events | https://github.com/pandas-dev/pandas/pull/22956 | 366,084,578 | MDExOlB1bGxSZXF1ZXN0MjE5ODQ5MDMw | 22,956 | CLN: small clean-up of IntervalIndex | {
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"followers_url": "https://api.github... | 1 | 2018-10-02T21:20:04Z | 2018-10-03T07:25:07Z | 2018-10-03T07:24:37Z | MEMBER | null | Removed some parts of IntervalIndex that are not needed (because they are inherited from Index or can be dispatched to the array)
\+ removed `fastpath` (for IntervalArray this is no problem (never used), for IntervalIndex I am not fully sure, since this signature might need to match the other index classes)
cc @js... | {
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"de... | open | false | null | [] | null | 8 | 2018-10-03T01:27:44Z | 2021-06-23T00:40:21Z | null | CONTRIBUTOR | null | I'm currently working on a refactoring the code `DataFrame.append` (#22915). One question that came up was, what should be the behavior when appending DataFrames with different index types.
To simplify this, let's put the focus on the index itself, and assume that it is valid for both rows and columns (IMHO consiste... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22958/events | https://github.com/pandas-dev/pandas/pull/22958 | 366,140,334 | MDExOlB1bGxSZXF1ZXN0MjE5ODkxMDI2 | 22,958 | CLN: Use is_period_dtype instead of ABCPeriodIndex checks | {
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"followers_url": "https://api.github... | 2 | 2018-10-03T01:28:04Z | 2018-10-03T12:17:32Z | 2018-10-03T09:19:28Z | MEMBER | null | Will be more generally correct for catching both PeriodIndex and PeriodArray.
Unrelated change of `l` -> `length` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22959/events | https://github.com/pandas-dev/pandas/pull/22959 | 366,141,685 | MDExOlB1bGxSZXF1ZXN0MjE5ODkyMDA0 | 22,959 | CI: pin moto to 1.3.4 | {
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"followers_url": "https://api.github... | 5 | 2018-10-03T01:36:07Z | 2018-10-03T13:49:45Z | 2018-10-03T13:49:44Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/issues/22934
Looking back at the logs, moto 1.3.4 didn't seem to have an issues. Going to run this on the CI a few times to see if we get any failures. May have to make some additional pins of boto if this doesn't work. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22960/events | https://github.com/pandas-dev/pandas/issues/22960 | 366,153,299 | MDU6SXNzdWUzNjYxNTMyOTk= | 22,960 | CI: numpydev failure | {
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"followers_url": "https://api.github... | 1 | 2018-10-03T02:42:27Z | 2018-10-04T11:30:30Z | 2018-10-04T11:30:30Z | CONTRIBUTOR | null | https://travis-ci.org/pandas-dev/pandas/jobs/436434493#L2766
```
____________ TestSelection.test_groupby_duplicated_column_errormsg _____________
[gw1] linux -- Python 3.7.0 /home/travis/miniconda3/envs/pandas/bin/python
self = <pandas.tests.groupby.test_grouping.TestSelection object at 0x7fb0ebdafeb8>
def t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22961/events | https://github.com/pandas-dev/pandas/pull/22961 | 366,156,006 | MDExOlB1bGxSZXF1ZXN0MjE5OTAxNTE3 | 22,961 | CLN: Move some PI/DTI methods to EA subclasses, implement tests | {
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"followers_url": "https://api.github... | 10 | 2018-10-03T02:58:05Z | 2020-04-05T17:38:58Z | 2018-10-08T20:07:30Z | MEMBER | null | If/when this goes through the basic template it creates for tests will be pretty straightforward to extend to the other relevant methods/properties.
@TomAugspurger this definitely overlaps with #22862, particularly the pieces touching constructors. LMK if this causes problems and I can try to stay in my lane. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22962/events | https://github.com/pandas-dev/pandas/issues/22962 | 366,156,355 | MDU6SXNzdWUzNjYxNTYzNTU= | 22,962 | IntegerArray + List returns ndarray | {
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... | 3 | 2018-10-03T03:00:05Z | 2021-06-23T00:41:54Z | null | CONTRIBUTOR | null | Right now, `IntegerArary.__add__` calls `np.asarray(other)` for list-like other. When `other` is an actual list with missing values, we end up with a float ndarray.
```
In [2]: arr = pd.Series([1, None, 3], dtype='Int8').values
In [3]: arr + list(arr)
Out[3]: array([ 2., nan, 6.])
```
Compare with Non-NA v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22963/events | https://github.com/pandas-dev/pandas/pull/22963 | 366,179,933 | MDExOlB1bGxSZXF1ZXN0MjE5OTE4MTc1 | 22,963 | BUG GH22858 When creating empty dataframe, only cast int to float if index given | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Previously, when creating a dataframe with no data of dtype int, the dtype would be changed to float. This is necessary when a predefined number of rows is included as the inde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22968 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22968/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22968/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22968/events | https://github.com/pandas-dev/pandas/pull/22968 | 366,238,722 | MDExOlB1bGxSZXF1ZXN0MjE5OTYyMTcz | 22,968 | DOC: Fixed the doctsring for _set_axis_name (GH 22895) | {
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Closes #22895 | {
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... | 6 | 2018-10-03T11:49:49Z | 2019-10-21T19:33:21Z | null | CONTRIBUTOR | null | We should document the expected behavior for binary operations between ExtensionArrays and pandas' own objects (Series, DataFrame, Index). We should update our own EAs to match the docs.
```python
In [4]: integer_array([1, 2]) + pd.Series([1, 2])
Out[4]: IntegerArray([2, 4], dtype='Int64')
```
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"descript... | closed | false | null | [] | null | 5 | 2018-10-03T14:18:56Z | 2018-10-05T03:06:25Z | 2018-10-03T14:24:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Below is likely a very poor implementation of this (it is super super slow; approximately 65 seconds for my data set with 75 windows to do and my implementation is also very memory intensive). Basically, I want to define a window size and a step size and get bac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22977/events | https://github.com/pandas-dev/pandas/issues/22977 | 366,401,174 | MDU6SXNzdWUzNjY0MDExNzQ= | 22,977 | Reading pandas DataFrame with categorical columns from an HDF file with 'where' | {
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... | open | false | null | [] | null | 1 | 2018-10-03T15:36:58Z | 2020-05-16T20:36:56Z | null | NONE | null | It seems pandas DataFrame's with categorical columns are read incorrectly from HDF files with a 'where' argument.
Here is what I see:
```python
>>> import pandas as pd
>>> d = pd.read_hdf(path, columns={'ex'}, where='(ex in ["LN","GY","FP"])')
>>> d['ex'].unique()
[LN, ID]
Categories (2, object): [LN, ID]
`... | {
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] | closed | false | null | [] | null | 6 | 2018-10-03T16:05:06Z | 2018-10-05T16:21:36Z | 2018-10-04T01:34:35Z | CONTRIBUTOR | null | #22886 removed `from pandas import Panel` (a left-over from waiting to deprecating `WidePanel`, I believe) from `asv_bench/benchmarks/pandas_vb_common.py` due to linting, and now several benchmarks are failing because they try
```
from .pandas_vb_common import setup, Panel # noqa
```
This fixes the imports, by... | {
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Closes #22799.
- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --d... | {
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"followers_url": "https://api.github... | 3 | 2018-10-03T18:52:47Z | 2018-11-04T09:56:28Z | 2018-11-04T09:56:13Z | CONTRIBUTOR | null | The functions on pandas.core.indexes.api had almost no documentation. This is an attempt to explain them better and a progress towards #22915. | {
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"followers_url": "https://api.github... | 2 | 2018-10-03T19:00:17Z | 2018-12-22T20:51:24Z | 2018-10-04T23:29:07Z | CONTRIBUTOR | null | The merge_asof function allows you to merge on float values but doesn't allow tolerance value when performing this merge, unlike for integer and datetime merges. I'm currently working on a pull request to fix this by removing the error being thrown for non-integer numerical tolerances.
```python
left = pd.DataFrame... | {
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"followers_url": "https://api.github... | 4 | 2018-10-03T19:08:28Z | 2018-10-17T06:02:50Z | 2018-10-04T23:29:07Z | CONTRIBUTOR | null | Fix bug with merge_asof when merging on floats and selecting a tolerance
- [ ] closes #22981
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"followers_url": "https://api.github... | 3 | 2018-10-03T19:55:24Z | 2018-10-04T16:57:29Z | 2018-10-04T11:16:28Z | MEMBER | null | @TomAugspurger @jbrockmendel From looking at the code related to the discussion in https://github.com/pandas-dev/pandas/pull/22961, I noticed `_shallow_copy_with_infer` has the potential to not pass any values, which is never actually used in pandas. So a small code clean-up | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22984/events | https://github.com/pandas-dev/pandas/issues/22984 | 366,518,714 | MDU6SXNzdWUzNjY1MTg3MTQ= | 22,984 | BUG: wrong detection if truncated repr is needed | {
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"followers_url": "https://api.github... | 0 | 2018-10-03T20:40:10Z | 2018-11-15T03:02:25Z | 2018-11-15T03:02:25Z | MEMBER | null | There seems to be a bug in the detection of when a DataFrame repr will not fit the console width.
Small example, the repr of a 7 column float dataframe is 72 characters wide:
```
In [10]: pd.DataFrame(np.random.randn(3, 7))
Out[10]:
0 1 2 3 4 5 6
0 -0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22985/events | https://github.com/pandas-dev/pandas/issues/22985 | 366,554,375 | MDU6SXNzdWUzNjY1NTQzNzU= | 22,985 | TypeError: Cannot interpolate with all NaNs. | {
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"followers_url": "https://api.github... | 5 | 2018-10-03T22:28:30Z | 2018-10-10T12:04:56Z | 2018-10-10T12:04:56Z | NONE | null | #### Problem description
I got an error: "TypeError: Cannot interpolate with all NaNs." This error was raised on line 6011 of pandas\core\generic.py. Sorry, I'm not able to provide a simple code sample to reproduce the problem.
I can't see why this error should ever be raised. If the input is all NaNs, interpola... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22986/events | https://github.com/pandas-dev/pandas/pull/22986 | 366,558,762 | MDExOlB1bGxSZXF1ZXN0MjIwMjAyNzY1 | 22,986 | CLN: prepare unifying hashtable.factorize and .unique; add doc-strings | {
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"followers_url": "https://api.github... | 52 | 2018-10-03T22:47:17Z | 2018-10-22T14:16:36Z | 2018-10-18T15:50:49Z | CONTRIBUTOR | null | For adding a `return_inverse`-kwarg to `unique` (#21357 / #21645), I originally didn't want to have to add something to the templated cython code, preferring to add a solution using `numpy.unique` as a first step (with the idea of improving the performance later).
@jorisvandenbossche then remarked:
> Which led me t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22987/events | https://github.com/pandas-dev/pandas/pull/22987 | 366,575,574 | MDExOlB1bGxSZXF1ZXN0MjIwMjE1NjQx | 22,987 | BUG-22984 Fix truncation of DataFrame representations | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
When printing a DataFrame to terminal, an extra column's worth of space is added to the calculated width of the DataFrame. This is presumably to help edge cases, but the calcul... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I've seen a few complaints about this on StackOverflow, so wanted to get this into 0.24.0 before I try implementing larger changes like the new behavior specs and interval acces... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22989 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22989/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22989/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22989/events | https://github.com/pandas-dev/pandas/issues/22989 | 366,768,861 | MDU6SXNzdWUzNjY3Njg4NjE= | 22,989 | Assigning a value to a series with a tz-aware timestamp during DST switch raises AmbiguousTimeError | {
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```python
import pandas as pd
series = pd.Series(data=[1,2,3], index=pd.DatetimeIndex(start='2017-10-29 00:30',
end='2017-10-29 1:30',
tz='Europe/B... | {
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"followers_url": "https://api.github... | 2 | 2018-10-04T13:06:48Z | 2018-11-13T02:11:20Z | 2018-11-13T02:11:20Z | CONTRIBUTOR | null | Looks like a regression upstream in IPython:
https://github.com/ipython/ipython/issues/11362
We've temporarily pinned the doc build to 6.5. Will need to remove that pin when a fixed IPython is released.
```
Running Sphinx v1.8.1
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closes #22763
cc @jreback @h-vetinari @jorisvandenbossche @WillAyd
The main thing we lose is redundancy on the sql tests. Those are down to just travis. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22993 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22993/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22993/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22993/events | https://github.com/pandas-dev/pandas/issues/22993 | 366,868,974 | MDU6SXNzdWUzNjY4Njg5NzQ= | 22,993 | Equivalent to the Excel fill handle | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-10-04T16:20:46Z | 2021-06-11T13:13:00Z | 2021-06-11T13:13:00Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df.col_name.fill_down(val, start_row = 0, end_row= end)
df.loc[row_idx].fill_right(val, start_col = 0, end_col = last)
```
#### Problem description
It would be nice if there were an analog for the excel fill handle. I am not an experienced program... | {
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we check that we have one type of block.
For ExtensionBlocks, that's insufficient. If you try to concatenate two series with different EA dtypes, it'll calling the first EA's `_concat_same... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22996 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22996/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22996/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22996/events | https://github.com/pandas-dev/pandas/pull/22996 | 366,952,629 | MDExOlB1bGxSZXF1ZXN0MjIwNTAzNjUz | 22,996 | API: ExtensionDtype Equality and Hashability | {
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Do people have thoughts on `_metadata`? I've tried to document everywhere the importance of it for parametrized extension dtypes. If you fail to set it correctly and use the default `__eq__` and `__hash__`, you'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22997 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22997/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22997/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22997/events | https://github.com/pandas-dev/pandas/pull/22997 | 366,973,869 | MDExOlB1bGxSZXF1ZXN0MjIwNTIwMjQx | 22,997 | BUG: Concat multiple different ExtensionArray types | {
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This builds on https://github.com/pandas-dev/pandas/pull/22996, since we need hashing.
2a1660c77e8ad0c28485c6d81227ac9d6b6de4f2 is the relevant commit.
Sparse tests will fail for now. I'll revisit once SparseArray is in. | {
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"followers_url": "https://api.github... | 0 | 2018-10-04T21:22:29Z | 2018-10-15T00:49:09Z | 2018-10-15T00:49:09Z | MEMBER | null | Troubleshooting based on `tests.indexes.period.test_tools.TestPeriodIndexConversion.test_to_timestamp_pi_combined`
```
idx = PeriodIndex(start='2011', periods=2, freq='1D1H', name='idx')
>>> idx + 1
PeriodIndex(['2011-01-02 01:00', '2011-01-03 02:00'], dtype='period[25H]', name=u'idx', freq='25H')
>>> idx + ... | {
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] | closed | false | null | [] | null | 5 | 2018-10-04T22:18:48Z | 2019-04-19T07:00:58Z | 2019-04-19T07:00:58Z | NONE | null | I am using Pandas version '0.23.4' with IPython 6.5.0 and Python 3.6 on a Windows 7 pc.
I have a very large dataframe df, but plenty of free ram.
When i do
`c=df.iloc[1:10,:]`
everything works fine, but when I do
`c=df.iloc[1,:]`
I get a memory error. See below:
Traceback (most recent call last):
File "<... | {
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"followers_url": "https://api.github... | 3 | 2018-10-04T22:25:17Z | 2018-10-08T00:13:33Z | 2018-10-07T22:38:27Z | MEMBER | null | - [x] closes #22686
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Change DataFrame arithmetic behavior when operating against 2D-ndarray such that `op(df, arr)` broadcasts like `op(df.values, arr)`.
Related: #22880. Note this does NOT cha... | {
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"followers_url": "https://api.github... | 3 | 2018-10-05T00:44:14Z | 2018-10-09T00:53:16Z | 2018-10-08T20:09:22Z | MEMBER | null | The ci/windows.yml and ci/windows-py27.yml files reference the environment files with ".yml". This PR moves the ".yaml" files to the indicated location.
CI config is hard. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23002/events | https://github.com/pandas-dev/pandas/issues/23002 | 367,037,030 | MDU6SXNzdWUzNjcwMzcwMzA= | 23,002 | ENH: allow rolling with non-numerical (eg string) data | {
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"description": "Apply, A... | open | false | null | [] | null | 10 | 2018-10-05T02:27:33Z | 2021-11-03T22:16:06Z | null | NONE | null | Hi the `Pandas` dream team.
I think it would be nice if `rolling` could accept `strings` as well (see https://stackoverflow.com/questions/52657429/rolling-with-string-variables)
With the abundance of textual data nowadays, we want `Pandas` to stay at the top of the curve!
```
import pandas as pd
import numpy... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23003/events | https://github.com/pandas-dev/pandas/pull/23003 | 367,055,413 | MDExOlB1bGxSZXF1ZXN0MjIwNTgyNDk4 | 23,003 | fix typos | {
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"followers_url": "https://api.github... | 2 | 2018-10-05T04:28:02Z | 2018-10-05T14:28:10Z | 2018-10-05T11:58:41Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23004/events | https://github.com/pandas-dev/pandas/pull/23004 | 367,058,708 | MDExOlB1bGxSZXF1ZXN0MjIwNTg0ODM5 | 23,004 | CLN GH22875 Replace bare excepts by explicit excepts in pandas/io/ | {
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"followers_url": "https://api.github... | 8 | 2018-10-05T04:49:25Z | 2018-10-10T07:33:53Z | 2018-10-10T07:33:29Z | CONTRIBUTOR | null | - [X] closes #22875
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This is a resubmit of a previous PR I submitted that was approved (#22916). I tried to close and reopen to get a rebuild on travis but I couldn't reopen it because I had deleted... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23005/events | https://github.com/pandas-dev/pandas/pull/23005 | 367,084,619 | MDExOlB1bGxSZXF1ZXN0MjIwNjA0MTc4 | 23,005 | fixes the issue #22953 | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23006 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23006/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23006/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23006/events | https://github.com/pandas-dev/pandas/issues/23006 | 367,241,311 | MDU6SXNzdWUzNjcyNDEzMTE= | 23,006 | openpyxl depreciation warning | {
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"de... | closed | false | null | [] | null | 1 | 2018-10-05T14:41:36Z | 2018-10-08T18:28:25Z | 2018-10-08T18:28:25Z | NONE | null | With python 2.7.14, the following code
```df.to_excel('output.xlsx')```
produces the following warning:
`/Users/cychu/Library/Python/2.7/lib/python/site-packages/pandas/io/excel.py:784: DeprecationWarning: Call to deprecated function remove_sheet (Use wb.remove(worksheet) or del wb[sheetname]).
self.book.re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23007 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23007/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23007/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23007/events | https://github.com/pandas-dev/pandas/issues/23007 | 367,274,301 | MDU6SXNzdWUzNjcyNzQzMDE= | 23,007 | BUG: Don't include array-like repr in plot titles and axis label when using array inputs in dataframe.boxplot() | {
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... | open | false | null | [] | null | 5 | 2018-10-05T16:03:36Z | 2021-06-23T00:44:28Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.random((200,1)), columns = ['value'])
df['date'] = pd.date_range('2000-1-1', periods=200, freq='D')
df.boxplot(column='value',by=df['date'].dt.month)
```
#### Problem descrip... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23008/events | https://github.com/pandas-dev/pandas/issues/23008 | 367,325,194 | MDU6SXNzdWUzNjczMjUxOTQ= | 23,008 | API: Expose groupby API for fast custom calculations | {
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`df.groupby(['col1', 'col2']).mean()`
Is heavily optimized as it has access to the internal blocks and can use a cython based function to execute. If a custom calculation is required (for example root-mean-squared-error) then the only current option is to use:
`df.groupby(['col1', 'col2']).... | {
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"followers_url": "https://api.github... | 2 | 2018-10-05T21:05:52Z | 2018-10-23T03:10:07Z | 2018-10-23T03:10:07Z | CONTRIBUTOR | null | In #20347, I was asked to allow list-like inputs for the `.str.cat` methods for Series. However, I didn't know that `is_listlike({'a', 'b', 'c'})` is True (for sets) until I stumbled over it in #22486.
These objects should imo clearly be disallowed, lest users shoot themselves in the foot massively:
```
>>> s = pd... | {
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... | closed | false | null | [] | null | 5 | 2018-10-05T21:11:16Z | 2018-11-23T03:32:22Z | 2018-11-23T03:32:22Z | NONE | null | Added support for millis resolution on a parsed DatetimeIndex slice.
There was no elif statement for when _parsed_string_to_bounds(self,
reso, parsed) was given reso == 'millisecond'
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/23011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23011/events | https://github.com/pandas-dev/pandas/issues/23011 | 367,374,672 | MDU6SXNzdWUzNjczNzQ2NzI= | 23,011 | Disable .str-accessor for byte data | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-10-05T21:29:03Z | 2019-06-01T15:03:07Z | 2019-06-01T15:03:07Z | CONTRIBUTOR | null | This supersedes #22721.
Pandas is trying to straddle many different chasms, which leads to undesirable behaviour on the fringes. For the purpose of this issue, I'm talking mainly about
1. supporting python 2/3 (will be over soon...)
1. being largely based on numpy's type system
From the first point, we have the... | {
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