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https://api.github.com/repos/pandas-dev/pandas/issues/23312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23312/events | https://github.com/pandas-dev/pandas/issues/23312 | 373,388,525 | MDU6SXNzdWUzNzMzODg1MjU= | 23,312 | BUG: reducing ufuncs don't return a scalar | {
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```
In [1]: s = pd.Series([1, 2, 3])
In [3]: np.add.reduce(s)
Out[3]:
0 6
1 6
2 6
dtype: int64
In [4]: np.add.reduce(s.values)
Out[4]: 6
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- [x] tests added / passed
- [x] Array
- [x] Series
- [x] DataFrame
- [x] Panel
- [x] Sparse
- [x] Extension (Decimal)
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seems to be affecting multiple builds.
```
2018-10-24T15:55:48.9463601Z ##[command]"C:\Windows\system32\cmd.exe" /D /E:ON /V:OFF /S /C "CALL "D:\a\_temp\ecbf7c44-999c-40cd-8868-eadec34d4bc7.cmd""
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```
val = np.timedelta64(4*10**9, 'ns')
ser = pd.Series([val]) * 1.5
>>> ser % val # <-- raises TypeError in master
0 00:00:02
dtype: timedelta64[ns]
```
```
ri = pd.RangeIndex(1)
di = pd.DataFrame(ri)
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- [x] tests 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/23323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23323/events | https://github.com/pandas-dev/pandas/pull/23323 | 373,646,485 | MDExOlB1bGxSZXF1ZXN0MjI1NTI2NTE5 | 23,323 | TST: Update sparse data generation | {
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"followers_url": "https://api.github... | 2 | 2018-10-24T19:42:20Z | 2018-10-25T11:06:36Z | 2018-10-25T11:06:32Z | CONTRIBUTOR | null | There's a spurious failure on master when the first
is randomly chosen to be 0, since type(arr.fill_value) doesn't
match arr.dtype.type
https://github.com/pandas-dev/pandas/issues/23124 will fix the underlying issue, but this works around it so we don't have tests failing randomly.
Closes https://github.com/pan... | {
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```python
import pandas as pd
# valid time rounds incorrectly
pd.Timestamp('2018-03-11 01:59:00-0600', tz='America/Chicago').round(freq='5min')
# throws NonExistentTimeError: 2018-03-11 02:00:00
# should return pd.Timestamp('2018-03-11 03:00:00-0500', tz='... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23325/events | https://github.com/pandas-dev/pandas/issues/23325 | 373,747,066 | MDU6SXNzdWUzNzM3NDcwNjY= | 23,325 | AttributeError: module 'pandas' has no attribute 'core' - Pandas can't be imported | {
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```python
import pandas as pd
import pandas_profiling
df=pd.read_csv("test.xlsx", parse_dates=True, encoding='UTF-8')
profile = pandas_profiling.ProfileReport(df)
profile.to_file(outputfile="Test.html")
```
#### Problem description
''''
Importing pan... | {
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df = pd.DataFrame([list('abc')])
print(df)
df.loc[:, 'col1'] = int(5)
df['col2'] = int(5)
df = df.assign(col3=int(5))
print(df.dtypes)
print(df)
0 1 2
0 a b c
0 object
1 object
2 object
col1 float64
col2 int64
col3 int64
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23327/events | https://github.com/pandas-dev/pandas/pull/23327 | 373,805,547 | MDExOlB1bGxSZXF1ZXN0MjI1NjQ3OTYy | 23,327 | ENH: Implement IntervalIndex.is_overlapping | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
This is needed in the `get_indexer` implementation for the new `IntervalIndex` behavior, as an overlapping `IntervalIndex` may return non-unique indices for a given query; seems... | {
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```python
import pandas as pd
import json
df = pd.DataFrame([{'i':i, 'value':10**-i} for i in range(0, 21)])
json.loads(df.to_json(double_precision=10))['value']
# {'0': 1.0,
# '1': 0.1,
# '2': 0.01,
# '3': 0.001,
# '4': 0.0001,
# '5': 1e-05,
# '6': 1e-06,
# '7': 1e-07,
# '8':... | {
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"followers_url": "https://api.github... | 8 | 2018-10-25T15:33:49Z | 2018-10-26T20:48:44Z | 2018-10-26T12:23:40Z | CONTRIBUTOR | null | arrays/sparse.py was doing an `import pandas as pd`, which is prone to cause circular imports. I've eliminated that import and updated the namespaces appropriately (NaT, isna, algos.unique / factorize).
Also updated `setup.cfg` to check the import order in `arrays/sparse.py`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23330/events | https://github.com/pandas-dev/pandas/issues/23330 | 374,018,787 | MDU6SXNzdWUzNzQwMTg3ODc= | 23,330 | Matplotlib v3 | {
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"followers_url": "https://api.github... | 3 | 2018-10-25T15:57:40Z | 2018-10-25T16:36:46Z | 2018-10-25T16:36:22Z | NONE | null | Matplotlib v3 seems to break pandas at v.23.x. What version of matplotlib is required? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23331/events | https://github.com/pandas-dev/pandas/pull/23331 | 374,037,865 | MDExOlB1bGxSZXF1ZXN0MjI1ODMwNzMw | 23,331 | CLN: isort imports- util dir | {
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util directory/.py files in pandas directory.
- [x] xref #23334
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https://api.github.com/repos/pandas-dev/pandas/issues/23332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23332/events | https://github.com/pandas-dev/pandas/pull/23332 | 374,038,819 | MDExOlB1bGxSZXF1ZXN0MjI1ODMxNTAy | 23,332 | CLN: isort imports - io dir | {
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Files in `pandas/io/*` ( 1 of 2)
- [x] xref #23334
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https://api.github.com/repos/pandas-dev/pandas/issues/23333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23333/events | https://github.com/pandas-dev/pandas/pull/23333 | 374,043,384 | MDExOlB1bGxSZXF1ZXN0MjI1ODM1MTM2 | 23,333 | Cleanup tests/scalar, isolate scalar-only tests from scalar-mixed tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23334/events | https://github.com/pandas-dev/pandas/issues/23334 | 374,056,022 | MDU6SXNzdWUzNzQwNTYwMjI= | 23,334 | Fix import formatting using isort | {
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... | 34 | 2018-10-25T17:38:35Z | 2019-02-28T15:18:49Z | 2019-02-28T15:18:34Z | CONTRIBUTOR | null | Following on from #23048. We now need to run isort on all *.py files in the codebase that we are ignoring in CI see [here](https://github.com/pandas-dev/pandas/blob/master/setup.cfg). Information on Isort [here](https://pypi.org/project/isort/)
Useful commands:
To sort imports in files in pandas directory ( igno... | {
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Here is an example.
```Python
import pandas as pd
df = pd.DataFrame({'Date': ['2016-06-30', '2016-06-30', '2016-08-09'],
'amount': [100, 200, 10]
})
df['Date'] = pd.to_datetime(df['Date'])
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"followers_url": "https://api.github... | 32 | 2018-10-25T20:57:52Z | 2018-10-31T13:04:54Z | 2018-10-31T13:04:50Z | CONTRIBUTOR | null | The imports have been sorted with isort in the pandas/core/dtypes directory.
Moving onto sorting the pandas/core/groupby directory.
- [x] partly #23334
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Run `isort -rc pandas/tests/indexes/`
PR is capped at 20 files. So this is not all the files modified from `pandas/tests/indexes/`. So this is Part One of this directory `pandas/tests/indexes/`.
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Run `isort -rc pandas/tests/indexes/`
PR is capped at 20 files. So this is not all the files modified from `pandas/tests/indexes/`. So this is Part Two of this directory `pandas/tests/indexes/`.
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- [x] partially 23334
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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PR is capped at 20 files. So this is not all the files modified from `pandas/tests/indexes/`. So this is Part Four ( last pr) of this directory `pandas/tests/... | {
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- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Run `isort -rc pandas/tests/util/`
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"id": 13101118,
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"color": "ffa0f... | closed | false | null | [] | {
"closed_at": "2020-01-30T12:18:05Z",
"closed_issues": 2207,
"created_at": "2012-09-13T02:13:00Z",
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```python
import pandas as pd
pd.set_option('display.max_rows', -1)
test = [['a', 'b'] ,['c','d'] ,['f','g']]
pd.DataFrame(test, columns=['columna', 'columnb'])
```
#### Problem description
This incorrectly print's 4 rows:
```
Out[1]:
.. ... ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
``Index.hasnans`` currently returns either a python or a numpy boolean, depending on circumstances. This PR ensures that only python booleans ae returned and makes the tests for h... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Ran `isort --recursive pandas` and then checked imports using `isort --recursive --check-only pandas`
PR capped at 20 files, but 21 files changed because it includes setup.cfg which has also been changed.
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"followers_url": "https://api.github... | 0 | 2018-10-26T03:17:11Z | 2018-10-30T12:52:24Z | 2018-10-30T12:52:24Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
Initializing an `IntervalTree` with arrays containing `np.nan` can trigger a `RuntimeWarning`:
```python
In [2]: left, right = [0, 1, 2, np.nan], [1, 2, 3, np.nan]
In [3]: tree = pd._libs.interval.IntervalTree(left, right, leaf_size=2)
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"followers_url": "https://api.github... | 6 | 2018-10-26T04:37:12Z | 2018-10-31T22:44:55Z | 2018-10-30T12:52:24Z | MEMBER | null | - [X] closes #23352
- [X] tests added / passed
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- [X] whatsnew entry
xref #23327 : As far as I can tell the only reason that PR is failing is because of tests raising a `RuntimeWarning` due to this bug.
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There is no function available in pandas which can fill missing value in dataframe according to column type i.e whether column is of categorical type or numeric type.
It will be easier if we provide a direct function which can fill missing value according to the type of column
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(also moved from enhancements to api changes) | {
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It's working great, finding multiple places to fix, however in order to test I'm not able to run the appropriate commands.
* created a conda environment
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cc @jorisvandenbossche | {
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1. ops on PeriodArray and PeriodIndex
2. ...
If we determine that caching attributes like `hasnans` and `isna` does help then we can investigate caching on PeriodArray. | {
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I have written a custom dtype and array for my own API.
When I do a `pd.merge`, the type reverts back to `object` not `geometry` .
In cyberpandas, I do not see the same behavior. What needs to be set to accomplish this?
```python
from cyberpandas impo... | {
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- Follow up from #22601.
- Confirmed with openpyxl this bug was fixed in version 2.5.7 see [bitbucket issue here](https://bitbucket.org/openpyxl/openpyxl/issues/1093/newly-introduced-keyerror-problem-in)
This was release 13th Sept -> https://... | {
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```python
In [1]: import numpy as np
...: import pandas as pd
...:
...: a = np.random.randint(2000, 2100, size=1000)
...: b ... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/23365 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23365/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23365/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23365/events | https://github.com/pandas-dev/pandas/pull/23365 | 374,521,181 | MDExOlB1bGxSZXF1ZXN0MjI2MjA0OTcz | 23,365 | Fix import format at pandas/tests/extension directory | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
PR includes 21 files, but I think it's acceptable and unnecessary to divide it to two separate PRs.
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https://api.github.com/repos/pandas-dev/pandas/issues/23366 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23366/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23366/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23366/events | https://github.com/pandas-dev/pandas/pull/23366 | 374,521,995 | MDExOlB1bGxSZXF1ZXN0MjI2MjA1NjM4 | 23,366 | STY: proposed isort settings [ci skip] [skip ci] [ciskip] [skipci] | {
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I propose we change the isort settings to arrange within-pandas imports by dependency structure. i.e.
- `pandas._libs`, `pandas.compat`, `pandas.util._*`, `pandas.errors` are for the most part not dependent on pandas.core, so get their own section(s)
- `pandas.core.dtypes` f... | {
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"followers_url": "https://api.github... | 5 | 2018-10-26T20:01:31Z | 2018-10-28T02:08:01Z | 2018-10-28T02:07:57Z | CONTRIBUTOR | null | - [x] partial #23334
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Ran `isort --recursive pandas/tests/io/parser` and then checked imports using `isort --recursive --check-only pandas/tests/io/parser`
This PR also exceeded 20 file limit (22 files with setup.cfg), but I think it's acceptabl... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
#!/usr/bin/env python
import numpy as np
import pandas as pd
index = pd.MultiIndex.from_product([list(range(10000)), list(range(10))])
df = pd.DataFrame(np.random.rand(100000, 10), index=index, columns=list(range(10)))
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"followers_url": "https://api.github... | 26 | 2018-10-27T02:32:16Z | 2018-11-19T05:34:12Z | 2018-11-19T01:25:28Z | CONTRIBUTOR | null | - [x] closes #22872
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The empty `except` statements now capture specific exceptions.
Following warnings are fixed:
```
pandas/tests/test_panel.py:338:13: E722 do not use bare 'except'
pandas/tests/test_panel.py:344:13: E722 do not use bare 'ex... | {
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import pandas as pd
import numpy as np
df = pd.DataFrame(np.ones((10, 20)))
df.expanding(3, axis = 1).sum()
0 1 2 3 4 5 6 7 8 9 10 11 12 13 \
0 NaN NaN 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 10.0 10.0 10.0 10.0
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"de... | closed | false | null | [] | null | 3 | 2018-10-27T09:46:36Z | 2021-06-23T03:44:04Z | 2021-06-23T03:44:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
df1 = pd.DataFrame(np.arange(9).reshape(3, 3), columns=['a', 'b', 'c'])
df2 = df1.loc[df1['a'] == 100]
df3 = pd.pivot_table(df2, values='a', index='b', columns='c', aggfunc='sum')
df3.columns
```
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"followers_url": "https://api.github... | 3 | 2018-10-27T10:40:45Z | 2018-10-28T05:20:52Z | 2018-10-28T02:40:51Z | MEMBER | null | Drops the following:
* `pd.pnow`
* `pd.match`
* `pd.groupby`
* `pd.get_store`
As well as:
* `pd.Expr`
* `pd.Term`
xref #15538.
xref #15940.
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Integrated [flake8-rst](https://github.com/kataev/flake8-rst) into `code_check.sh` in order to check code in .. code-blocks:: python directives
* fixed all issues found with version v0.4.1
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https://github.com/pandas-dev/pandas/pull/23336#issuecomment-433637555 | {
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- [x] closes #23229
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* Explain relationship with `Timedelta`
* Clarify explanation of rollforward/back
* Bring all the offsets and their aliases to the front
Misc fixes:
* Period dtypes are preserved in Series & DataFrames
* Rendering for timezone nonexistent examples | {
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* `pandas.types`
* `pandas.computation`
* `pandas.util.decorators`
xref #16157.
xref #16250. | {
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- [x] passes `git diff master -u -- "*.py" | flake8 --diff`
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- [x] passes `git diff master -u -- "*.py" | flake8 --diff`
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- [x] passes `git diff master -u -- "*.py" | flake8 --diff`
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* `pandas.api.types.is_sequence`
* `pandas.api.types.is_any_int_dtype`
* `pandas.api.types.is_floating_dtype`
xref #16163.
xref #16189.
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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xref #15987. | {
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as parameters to aggregation (was deprecated before).
xref #15931. | {
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Hopefully no doc slowdowns on Travis this time 🙏 ! (xref #15559)
Closes #15475.
No deprecation of `__add__` and `__iadd__` because we rely on overloading `+` internally when operating on array-likes (in general) in some cases (e.g. [here](https://github.com/pandas-dev/pandas/blob/62a15fa... | {
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Was dropped in #15099 but accidentally added back in #18202.
Follow-up to #23375. | {
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Closes #9031.
xref #14565 (potentially can close this given how central `FrozenNDArray` was to discussion) | {
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```python
import os
import pandas
bio = pandas.read_parquet(os.path.join('data', 'bio.parquet') , engine='pyarrow')
```
#### Problem description
**
read_parquet not working on running in jupyter
**
![screenshot from 2018-10-28 16-47-40](https://user-im... | {
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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/23399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23399/events | https://github.com/pandas-dev/pandas/pull/23399 | 374,779,975 | MDExOlB1bGxSZXF1ZXN0MjI2Mzg0OTA1 | 23,399 | ENH: Use flake8 to check for PEP8 violations in doctests | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Improvement to PR #23381 regarding issue #23154
Enables `--doctests` flag, resulting in doctests being checked by flake8
Uses [flake8.api.legacy](http://flake8.pycqa.org/en/latest/user/python-api.html) to invoke the tests.
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https://api.github.com/repos/pandas-dev/pandas/issues/23400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23400/events | https://github.com/pandas-dev/pandas/pull/23400 | 374,780,354 | MDExOlB1bGxSZXF1ZXN0MjI2Mzg1MTgw | 23,400 | ENH: Add return_inverse to cython-unique; unify unique/factorize-code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23401/events | https://github.com/pandas-dev/pandas/pull/23401 | 374,789,474 | MDExOlB1bGxSZXF1ZXN0MjI2MzkxNDQ0 | 23,401 | CLN: Follow-up comments to gh-23392 | {
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* Minor spacing issues in docs
Follow-up to #23392. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23402 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23402/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23402/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23402/events | https://github.com/pandas-dev/pandas/pull/23402 | 374,819,433 | MDExOlB1bGxSZXF1ZXN0MjI2NDEwODU1 | 23,402 | BUG: Respect axis when doing DataFrame.expanding | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23403/events | https://github.com/pandas-dev/pandas/issues/23403 | 374,840,829 | MDU6SXNzdWUzNzQ4NDA4Mjk= | 23,403 | Support vmin and vmax for bars | {
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plot.bar(colormap=cmap, vmin=0, vmax=5)
```
#### Problem description
`vmin` and `vmax` are not supported. https://github.com/pandas-dev/pandas/issues/21526 adds support in the styler but not the bar plotting itself.
#### Expected Output
The color range should be set. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23404 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23404/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23404/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23404/events | https://github.com/pandas-dev/pandas/pull/23404 | 374,853,336 | MDExOlB1bGxSZXF1ZXN0MjI2NDM0MjU0 | 23,404 | PERF: speed up concat on Series by skipping unnecessary DataFrame creation | {
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- [ ] xref #23362
- [x] tests passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
### Performance Comparison
```python
import pandas as pd
im... | {
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- [x] tests added / passed
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Similar strategy as https://github.com/pandas-dev/pandas/pull/22647, added a `nonexistent` keyword argument to `round`, `ceil`, and `floor` to control rounding when encountering... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23407 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23407/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23407/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23407/events | https://github.com/pandas-dev/pandas/issues/23407 | 374,906,272 | MDU6SXNzdWUzNzQ5MDYyNzI= | 23,407 | Add a new function to pd.Datetime: Cross time indices | {
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Often people working with time series in different length and scales and want to compare these data to each other or do some operations on it. For this purpose the timestamps and datapoints have to match.
The code below works fine for the most use cases but some times its faili... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23408/events | https://github.com/pandas-dev/pandas/pull/23408 | 374,948,891 | MDExOlB1bGxSZXF1ZXN0MjI2NTA2OTEz | 23,408 | DOC: Clarify documentation of 'ambiguous' parameter | {
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"id": 211840... | closed | false | null | [] | null | 13 | 2018-10-29T10:29:22Z | 2018-11-04T15:57:06Z | 2018-11-04T13:56:59Z | CONTRIBUTOR | null | when first reading the docs, the `ambiguous` parameter was not clear to me. I propose to add a line of documentation and include an example that exactly indicates the issue that the `ambiguous` parameter solves.
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https://api.github.com/repos/pandas-dev/pandas/issues/23410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23410/events | https://github.com/pandas-dev/pandas/issues/23410 | 375,081,386 | MDU6SXNzdWUzNzUwODEzODY= | 23,410 | Memory leak in `xs`? | {
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"color": "a1... | closed | false | null | [] | null | 7 | 2018-10-29T15:43:54Z | 2019-08-01T23:47:02Z | 2018-10-30T16:04:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import itertools
import pandas as pd
import gc
import random
names = ['a','b','c','d']
levels = [range(10) for x in names]
def go():
full_index = pd.MultiIndex.from_product(levels, names=names)
full_frame = pd.DataFrame(index=full... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23411/events | https://github.com/pandas-dev/pandas/issues/23411 | 375,189,038 | MDU6SXNzdWUzNzUxODkwMzg= | 23,411 | "npmat @ pdseries" should be equivalent to "npmat @ pdseries.values" | {
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```python
import pandas as pd
import numpy as np
npmat = np.array([[1, 0],[1, 1]])
pdseries = pd.Series([1, 2])
np.testing.assert_allclose(npmat @ pdseries, npmat @ pdseries.values ) # fails but should succeed
```
#### Problem description
Maybe there is a good explanation but I did n... | {
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