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https://api.github.com/repos/pandas-dev/pandas/issues/23012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23012/events | https://github.com/pandas-dev/pandas/issues/23012 | 367,380,823 | MDU6SXNzdWUzNjczODA4MjM= | 23,012 | Bug in tseries.offsets.BDay | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-10-05T21:54:57Z | 2020-02-03T12:19:37Z | 2018-10-06T03:08:11Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
minRangeDate = '2015-12-28'
maxRangeDate = '2016-01-04'
nDays=0
for date in pd.date_range(start=minRangeDate, end=maxRangeDate):
dateRange = (date.date(), (date+pd.tseries.offsets.BDay(nDays)).date())
#dateRange = (dat... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-10-06T02:56:12Z | 2019-03-23T02:08:53Z | 2019-03-23T02:08:53Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
`Interval` with `Interval`/`Period` endpoints is allowed:
```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.24.0.dev0+681.g02f19f8'
In [2]: left = pd.Period(f'2018Q1', freq='Q')
In [3]: right = pd.Period(f'2018Q4', freq='Q')
In [4]: iv = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23014/events | https://github.com/pandas-dev/pandas/pull/23014 | 367,456,628 | MDExOlB1bGxSZXF1ZXN0MjIwODg2MDAz | 23,014 | DOC: improve documentation of DateOffset (closes #22929) | {
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"id... | closed | false | null | [] | null | 2 | 2018-10-06T13:22:04Z | 2018-12-09T20:13:33Z | 2018-12-09T20:13:33Z | CONTRIBUTOR | null | - [x] closes #22929
- [ ] 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/23015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23015/events | https://github.com/pandas-dev/pandas/issues/23015 | 367,461,450 | MDU6SXNzdWUzNjc0NjE0NTA= | 23,015 | Cannot create python environment due to broken dependency | {
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... | closed | false | null | [] | null | 6 | 2018-10-06T14:23:17Z | 2020-04-03T03:43:28Z | 2020-04-03T03:43:28Z | CONTRIBUTOR | null | #### Problem description
Following the [documentation](https://pandas.pydata.org/pandas-docs/stable/contributing.html#contributing-to-pandas) I've tried to [create a python environment](https://pandas.pydata.org/pandas-docs/stable/contributing.html#creating-a-python-environment-pip) and encountered this error messag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23016/events | https://github.com/pandas-dev/pandas/pull/23016 | 367,471,896 | MDExOlB1bGxSZXF1ZXN0MjIwODk1OTM4 | 23,016 | TST: further clean up of frame/test_analytics | {
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"followers_url": "https://api.github... | 3 | 2018-10-06T16:18:40Z | 2018-10-08T17:08:54Z | 2018-10-07T21:47:57Z | CONTRIBUTOR | null | Follow-up to #22733, where some things were left undone to ease reviewing.
Mainly:
* cleaning up the jumble of `_check_stat_op`, splitting it into two functions with separate purposes
* this removes redundant calls to the API-portion of the function in tests like `test_max` etc.
* renaming according to review in ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23017/events | https://github.com/pandas-dev/pandas/issues/23017 | 367,474,224 | MDU6SXNzdWUzNjc0NzQyMjQ= | 23,017 | Make DataFrame.dtypes return Categorical | {
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```
df.dtypes.kind == 'i'
```
There are easy workarounds for this, but it would be convenient if `df.dtypes` returned a Categorical so this could be made to work.
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https://api.github.com/repos/pandas-dev/pandas/issues/23018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23018/events | https://github.com/pandas-dev/pandas/issues/23018 | 367,474,373 | MDU6SXNzdWUzNjc0NzQzNzM= | 23,018 | CLN: Use consistent imports in tests | {
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"d... | closed | false | null | [] | null | 22 | 2018-10-06T16:47:38Z | 2020-04-14T05:06:56Z | 2020-04-14T05:06:56Z | CONTRIBUTOR | null | A while ago, I got the review from @jreback that:
* Replace instances of pd. with direct imports (from review https://github.com/pandas-dev/pandas/pull/21899#discussion_r202524353):
> don’t import pd, directly import instead
* Replace direct use of `assert_..._equal` with the `tm.assert_..._equal`
(from revie... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23019/events | https://github.com/pandas-dev/pandas/pull/23019 | 367,484,410 | MDExOlB1bGxSZXF1ZXN0MjIwOTA0MDQw | 23,019 | PERF: only output an html id if a style is applied | {
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"color": "006b7... | closed | false | null | [] | null | 4 | 2018-10-06T18:44:09Z | 2018-10-14T20:52:51Z | 2018-10-14T16:10:09Z | CONTRIBUTOR | null | - [x] closes #20695
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Greatly reduces the amount of `id` tag in the cells by only assigning one when a style is applied to that cell. If that is the not correct approach for solving #20695, I am open to suggestions.
Al... | {
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"followers_url": "https://api.github... | 1 | 2018-10-06T20:44:58Z | 2018-12-19T14:28:58Z | 2018-12-19T14:28:58Z | CONTRIBUTOR | null | ```
In [1]: df = pd.DataFrame({'A': pd.Series([1, 2, np.nan], dtype='Int64'), 'B': 1})
```
Merging with an EA included is ok
```
In [2]: pd.merge(df, df, on='B')
Out[2]:
A_x B A_y
0 1 1 1
1 1 1 2
2 1 1 NaN
3 2 1 1
4 2 1 2
5 2 1 NaN
6 NaN 1 1
7 NaN 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23021/events | https://github.com/pandas-dev/pandas/pull/23021 | 367,498,953 | MDExOlB1bGxSZXF1ZXN0MjIwOTEzNTg5 | 23,021 | DOC: Clarify rolling min_periods default value GH21489 | {
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"followers_url": "https://api.github... | 3 | 2018-10-06T21:50:54Z | 2018-10-07T21:46:13Z | 2018-10-07T21:46:08Z | CONTRIBUTOR | null | - [ ] closes #21489
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew Clarifies the documentation of the default value for the min_periods argument of the rolling function.
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https://api.github.com/repos/pandas-dev/pandas/issues/23022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23022/events | https://github.com/pandas-dev/pandas/pull/23022 | 367,506,302 | MDExOlB1bGxSZXF1ZXN0MjIwOTE4MjY4 | 23,022 | REF: Fuse all the types | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23023/events | https://github.com/pandas-dev/pandas/issues/23023 | 367,511,111 | MDU6SXNzdWUzNjc1MTExMTE= | 23,023 | Block.shape inconsistencies? | {
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] | closed | false | null | [] | null | 0 | 2018-10-07T01:25:54Z | 2019-06-13T04:15:08Z | 2019-06-13T04:15:08Z | MEMBER | null | Trying to simplify some things in internals. I expected that it would always be the case that `len(block) == block.shape[0]`, but `shape` is flipped in a few cases.
```
class Block:
def __len__(self):
return len(self.values)
@property
def shape(self):
return self.values.shape
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https://api.github.com/repos/pandas-dev/pandas/issues/23024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23024/events | https://github.com/pandas-dev/pandas/pull/23024 | 367,544,014 | MDExOlB1bGxSZXF1ZXN0MjIwOTQxMzM3 | 23,024 | DOC: Upgraded Docstring pandas.DataFrame.dot | {
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- [ ] tests added / passed
- [x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23025/events | https://github.com/pandas-dev/pandas/pull/23025 | 367,570,167 | MDExOlB1bGxSZXF1ZXN0MjIwOTU4MTEy | 23,025 | Accepts integer/float string with units and raises when unit is ambiguous (2) | {
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"color": "5319... | closed | false | null | [] | null | 20 | 2018-10-07T16:26:53Z | 2019-05-03T05:38:28Z | 2019-05-03T05:38:27Z | CONTRIBUTOR | null | Supersedes #21384.
- [x] closes #12136
- [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/23026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23026/events | https://github.com/pandas-dev/pandas/issues/23026 | 367,572,110 | MDU6SXNzdWUzNjc1NzIxMTA= | 23,026 | Block.copy `deep` kwarg consistency | {
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Block
```
def copy(self, deep=True, mgr=None):
""" copy constructor """
values = self.values
if deep:
values = values.copy()
return self.make_block_sam... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23027/events | https://github.com/pandas-dev/pandas/issues/23027 | 367,572,189 | MDU6SXNzdWUzNjc1NzIxODk= | 23,027 | Grouping Issue and gspread U | {
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] | closed | false | null | [] | null | 2 | 2018-10-07T16:51:29Z | 2018-10-08T04:17:27Z | 2018-10-08T03:48:54Z | NONE | null | Hello Everyone,
Kindly find the image below represents the required input data and output requirement of my study.
I am using Pandas data frame to achieve my output requirement. Facing two major issue... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23028/events | https://github.com/pandas-dev/pandas/issues/23028 | 367,572,415 | MDU6SXNzdWUzNjc1NzI0MTU= | 23,028 | __finalize__ consistency DataFrame vs SparseDataFrame | {
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] | closed | false | null | [] | null | 2 | 2018-10-07T16:54:00Z | 2019-11-05T22:18:05Z | 2019-11-05T22:18:05Z | MEMBER | null | SparseDataFrame arithmetic (and some comparison) ops call `.__finalize__(self)` before returning. `DataFrame` ops do not. Is this intentional? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23029/events | https://github.com/pandas-dev/pandas/pull/23029 | 367,581,764 | MDExOlB1bGxSZXF1ZXN0MjIwOTY1NDkx | 23,029 | TST: collect logical ops tests, use fixtures | {
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"followers_url": "https://api.github... | 3 | 2018-10-07T18:46:13Z | 2018-10-07T22:26:33Z | 2018-10-07T21:41:20Z | MEMBER | null | Collect tests for logical ops |, &, ^.
Use fixtures in a couple of places in tests/arithmetic
Rename a couple of poorly named tests
No logic is changed, nothing is moved cross-module. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23030/events | https://github.com/pandas-dev/pandas/issues/23030 | 367,585,877 | MDU6SXNzdWUzNjc1ODU4Nzc= | 23,030 | mssql pandas.DataFrame.to_sql AttributeError: 'Engine' object has no attribute 'cursor' | {
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] | closed | false | null | [] | null | 3 | 2018-10-07T19:34:56Z | 2018-10-09T10:23:24Z | 2018-10-09T10:23:24Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# test data
test = pd.DataFrame({'test':[1,2,3]}) #'te','te','te'
# import modules
import pyodbc
from sqlalchemy import create_engine
import urllib
# test 1
params = urllib.parse.quote_plus(r'DRIVER={SQL Server};SERVER=server_name;DATABASE=d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23031/events | https://github.com/pandas-dev/pandas/pull/23031 | 367,600,471 | MDExOlB1bGxSZXF1ZXN0MjIwOTc3ODIx | 23,031 | BUG: Fix PeriodIndex +/- TimedeltaIndex | {
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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/23032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23032/events | https://github.com/pandas-dev/pandas/pull/23032 | 367,610,127 | MDExOlB1bGxSZXF1ZXN0MjIwOTg0MjU3 | 23,032 | Add cookbook entry for triangular correlation matrix (closes #22840) | {
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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/23033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23033/events | https://github.com/pandas-dev/pandas/issues/23033 | 367,610,689 | MDU6SXNzdWUzNjc2MTA2ODk= | 23,033 | Problem with nlargest / nsmallest on dataframes with MultiIndex columns | {
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"followers_url": "https://api.github... | 1 | 2018-10-08T00:44:21Z | 2018-10-24T12:33:13Z | 2018-10-24T12:33:13Z | CONTRIBUTOR | null | #### The Problem
The `nlargest` / `nsmallest` functionality is broken when applied to dataframes with `MultiIndex` columns. For example:
```python
columns = pd.MultiIndex.from_tuples([('x', 'a'), ('x', 'b'), ('y', 'c'), ('y', 'd')])
values = np.random.rand(5, 4)
df = pd.DataFrame(data=values, columns=columns)
d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23034/events | https://github.com/pandas-dev/pandas/pull/23034 | 367,610,757 | MDExOlB1bGxSZXF1ZXN0MjIwOTg0NjQ5 | 23,034 | BUG: Fixed nlargest/smallest functionality for dataframes with MultiIndex columns | {
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"followers_url": "https://api.github... | 10 | 2018-10-08T00:45:00Z | 2018-10-24T22:09:00Z | 2018-10-24T12:33:14Z | CONTRIBUTOR | null | This change fixes nlargest/smallest functionality for dataframes with MultiIndex columns.
- [x] closes #23033
- [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/23035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23035/events | https://github.com/pandas-dev/pandas/issues/23035 | 367,614,065 | MDU6SXNzdWUzNjc2MTQwNjU= | 23,035 | memory leak in MultiIndex | {
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"default"... | closed | false | null | [] | null | 11 | 2018-10-08T01:15:47Z | 2021-06-23T00:46:52Z | 2021-06-23T00:46:52Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
import numpy as np
import gc
import psutil
def totmem(p):
# total memory used by process in MB
info = p.memory_info()
return 1e-6*(info.vms + info.rss)
dat_size = 6000000
# make dataset wit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23036/events | https://github.com/pandas-dev/pandas/pull/23036 | 367,617,104 | MDExOlB1bGxSZXF1ZXN0MjIwOTg4NzE1 | 23,036 | BUG-22796 Concat multicolumn tz-aware DataFrame | {
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"followers_url": "https://api.github... | 9 | 2018-10-08T01:48:14Z | 2018-10-09T18:42:09Z | 2018-10-09T18:41:43Z | CONTRIBUTOR | null | - [X] closes #22796
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Numpy arrays don't have the datetimetz dtype, so I just passed through the DatetimeIndex directly.
Side note: There's another small bug (I think) where np.nan or pd.NaT take... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23037/events | https://github.com/pandas-dev/pandas/issues/23037 | 367,651,782 | MDU6SXNzdWUzNjc2NTE3ODI= | 23,037 | BUG: Concatenating DataFrames with NaT TZ Timestamps results in incorrect dtype | {
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"color": "5319e7"... | closed | false | null | [] | null | 2 | 2018-10-08T06:23:15Z | 2020-03-29T19:09:58Z | 2020-03-29T19:09:58Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
ts1 = pd.Timestamp(pd.NaT, tz='UTC')
ts2 = pd.Timestamp('2015-01-01', tz='UTC')
df1 = pd.DataFrame([[ts1]])
df2 = pd.DataFrame([[ts2]])
result = pd.concat([df1, df2])
result[0]
Out[6]:
0 NaT
0 2015-01-01 00:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23038/events | https://github.com/pandas-dev/pandas/pull/23038 | 367,671,828 | MDExOlB1bGxSZXF1ZXN0MjIxMDI3ODQ0 | 23,038 | DOC: Added 'Modules Privacy Has Changed' section to overview.rst | {
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- [x] tests passed
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https://api.github.com/repos/pandas-dev/pandas/issues/23039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23039/events | https://github.com/pandas-dev/pandas/pull/23039 | 367,673,626 | MDExOlB1bGxSZXF1ZXN0MjIxMDI5MjAy | 23,039 | DOC:Updated as suggested in the comments of PR#20211 | {
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- [x] closes #20211
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The following is added for the doc string :
"""
Return a boolean if this key is in the index.
Parameters
----------
key : object
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23040/events | https://github.com/pandas-dev/pandas/issues/23040 | 367,675,209 | MDU6SXNzdWUzNjc2NzUyMDk= | 23,040 | ValueError: module functions cannot set METH_CLASS or METH_STATIC | {
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```python
import matplotlib.pyplot as plt
import pandas as pd
```
#### Problem description
If I import pyplot before pandas, I get the following error:
```
Traceback (most recent call last):
File "bug_pandas.py", line 2, in <module>
import pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23041/events | https://github.com/pandas-dev/pandas/pull/23041 | 367,727,787 | MDExOlB1bGxSZXF1ZXN0MjIxMDY4NjE4 | 23,041 | Doc: Adds example of exploding lists into columns instead of storing in dataframe cells | {
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This is the continuation of PR #19215
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Could someone give me more suggestions of Excel functions that are used often?
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```python
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
df.rename(index=str, columns={"C": "a", "B": "c"},inplace = True)
df
#Output
A c
0 1 4
1 2 5
2 3 6
```
#### Problem description
the current behaviour of code is accepting any rename column dictionary. If rename col... | {
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"followers_url": "https://api.github... | 4 | 2018-10-08T14:17:39Z | 2018-10-10T12:05:01Z | 2018-10-10T12:04:57Z | CONTRIBUTOR | null | - [x] closes #22985
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
It looks like the problem with #22985 is mostly the mismatch between the input trigger and the error message, so this is just a tiny hotfix. | {
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```python
import pandas as pd
good_input = np.array(['bad_format', '2013-06-07'], dtype='O')
bad_input = np.array([np.string_('bad_format'), '2013-06-07'], dtype='O')
pd.to_datetime(good_input, errors='coerce')
pd.to_datetime(bad_input, errors='coerce')
```
returns
```python
Out[4]: Datetime... | {
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... | 5 | 2018-10-08T16:13:53Z | 2018-10-14T10:50:08Z | null | CONTRIBUTOR | null | In the Pandas documentation pages, some [source] links of the functions don't point to the actual implementation of the function, but to `pandas/util/_decorators.py`, presumably because some of the decorators there have been used on the function in question and this messes up the doc generation somehow.
For an examp... | {
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] | closed | false | null | [] | null | 2 | 2018-10-08T18:42:15Z | 2018-11-02T18:40:15Z | 2018-11-02T18:40:15Z | CONTRIBUTOR | null | l am running a large computation, which is experiencing a memory leak that appears to be occurring in Pandas version 0.23.4. In total, the computation performs a large number of inner loops (it had performed ~85,000 when I stopped it due to ~50GB memory usage). At each inner loop, pandas reads a pickled dataframe label... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23048/events | https://github.com/pandas-dev/pandas/issues/23048 | 367,925,571 | MDU6SXNzdWUzNjc5MjU1NzE= | 23,048 | Use isort for standardizing import formatting | {
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"followers_url": "https://api.github... | 2 | 2018-10-08T19:37:50Z | 2018-10-17T13:59:25Z | 2018-10-17T13:59:25Z | CONTRIBUTOR | null | @TomAugspurger kindly pointed out on this [PR](https://github.com/pandas-dev/pandas/pull/22913) that we could be using [isort](https://pypi.org/project/isort/) for formatting imports and have a standardized approach across the codebase.
I will draft up an initial config based on the rules used in [dask-ml](https://g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23049/events | https://github.com/pandas-dev/pandas/issues/23049 | 367,945,732 | MDU6SXNzdWUzNjc5NDU3MzI= | 23,049 | Fatal Stack Overflow Stemming From Misuse of astype('category') | {
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```
import pandas as pd
foo = pd.DataFrame([{'a':'hello'}])
bar = pd.concat([foo,foo], axis=1)
bar.astype('category') # this will make it go boom
```
#### Problem description
As evidenced above, I hit a stack overflow from an error on my end when attempting to cast a column that appears t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23050/events | https://github.com/pandas-dev/pandas/issues/23050 | 367,949,373 | MDU6SXNzdWUzNjc5NDkzNzM= | 23,050 | Pandas DataFrame groupby().Size() giving 'Value Error : Length of passed values is 65, index implies 0' | {
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```python
from os import path
import pandas as pd
import numpy as np
input_file = path.join(r'C:\DUMP', 'Process Log 2 Week_2.txt')
tdf = pd.read_csv(input_file, low_memory=False)
# Value Error in this statement -->
tdf_gsdf = tdvdf.groupby(tdvdf.colum... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23051/events | https://github.com/pandas-dev/pandas/pull/23051 | 368,003,625 | MDExOlB1bGxSZXF1ZXN0MjIxMjgxNTI4 | 23,051 | DOC: update the pandas.DateTimeArrayMixin.is_month_start docstring | {
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"followers_url": "https://api.github... | 7 | 2018-10-09T01:05:35Z | 2018-10-26T10:11:36Z | 2018-10-26T09:15:50Z | CONTRIBUTOR | null | - [x] closes #20146
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
should close PR #20146 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23052/events | https://github.com/pandas-dev/pandas/pull/23052 | 368,008,168 | MDExOlB1bGxSZXF1ZXN0MjIxMjg0NzIw | 23,052 | Update api.rst | {
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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/23053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23053/events | https://github.com/pandas-dev/pandas/issues/23053 | 368,021,101 | MDU6SXNzdWUzNjgwMjExMDE= | 23,053 | pandas/io/feather_format.py should call use_threads instead of nthreads to prevent breakage in pyarrow 0.11.0 | {
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"followers_url": "https://api.github... | 11 | 2018-10-09T02:52:41Z | 2018-12-04T18:45:13Z | 2018-11-01T12:02:41Z | NONE | null | #### Code Sample
```python
d = {'one' : [1., 2., 3., 4.],
'two' : [4., 3., 2., 1.]}
df = pandas.DataFrame(d)
df.to_feather('example.feather')
# with pyarrow 0.10.0 this succeeds with a deprecation warning
# with pyarrow 0.11.0 this errors with a TypeError: unexpected argument 'nthreads'
df = pandas.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23054/events | https://github.com/pandas-dev/pandas/issues/23054 | 368,050,266 | MDU6SXNzdWUzNjgwNTAyNjY= | 23,054 | to_datetime followed by update on column ruins data type and formatting | {
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] | closed | false | null | [] | null | 3 | 2018-10-09T05:50:38Z | 2018-10-18T09:20:17Z | 2018-10-18T09:20:17Z | NONE | null | Before transformation of birthday entries stupidly recorded as floating-point values by company partner:
```
0 NaN
1 1.98508e+07
2 1.98811e+07
3 NaN
4 NaN
5 NaN
6 NaN
7 NaN
8 1.9951e+07
9 1.99605e+07
```
After I apply the foll... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23055/events | https://github.com/pandas-dev/pandas/issues/23055 | 368,180,622 | MDU6SXNzdWUzNjgxODA2MjI= | 23,055 | Converting None values with pandas.to_datetime is unpredictable | {
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... | 8 | 2018-10-09T12:15:47Z | 2020-07-10T14:02:51Z | null | NONE | null | Why does ``pandas`` convert ``None`` values in the different ways for ``to_datetime`` (unpredictable) and ``to_numeric`` (predictable)?
```python
import pandas as pd
VALUE = None
print(pd.to_datetime(VALUE))
print(pd.to_numeric(VALUE))
print(pd.__version__)
```
returns
```
None
nan
0.23.4
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23056/events | https://github.com/pandas-dev/pandas/issues/23056 | 368,186,125 | MDU6SXNzdWUzNjgxODYxMjU= | 23,056 | Inconsistent behaviour of read_csv() between python and c engine with null values. | {
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Using pandas v0.23.4
test.csv file
```
A,B,C
0,,2
,1,2
,,
a,2,
```
```
>>> df = pd.read_csv('test.csv', engine='python', dtype={'B': str})
>>> df
A B C
0 0 nan 2.0
1 NaN 1 2.0
2 NaN nan NaN
3 a 2 NaN
>>> df.isnull()
A B C
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23057/events | https://github.com/pandas-dev/pandas/issues/23057 | 368,198,120 | MDU6SXNzdWUzNjgxOTgxMjA= | 23,057 | Make default xfail strict | {
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"followers_url": "https://api.github... | 6 | 2018-10-09T12:59:38Z | 2018-12-03T13:32:36Z | 2018-12-03T13:32:36Z | CONTRIBUTOR | null | Pytest let's you configure the default xfail strictness in the `setup.cfg`
```
xfail_strict=true
```
This issue is to
1. Make that change
2. Update tests that are currently XPASSing
- If always passing then remove the xfail entirely
- If only sometimes passing (flaky test, dependency, configuratio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23058/events | https://github.com/pandas-dev/pandas/issues/23058 | 368,218,584 | MDU6SXNzdWUzNjgyMTg1ODQ= | 23,058 | np.random.permutation(DatetimeIndex) modifies argument in numpy 1.15 | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-10-09T13:45:53Z | 2018-10-12T19:16:46Z | 2018-10-12T19:16:34Z | CONTRIBUTOR | null | I'm not sure whether this counts as a numpy bug or a pandas bug
#### Code Sample
```python
import numpy as np
import pandas as pd
index = pd.DatetimeIndex(start='2017-01-01', end='2017-02-01', freq='1d')
index_copy = index.copy(deep=True)
random_index = pd.DatetimeIndex(np.random.permutation(index))
pd.te... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23059/events | https://github.com/pandas-dev/pandas/issues/23059 | 368,225,350 | MDU6SXNzdWUzNjgyMjUzNTA= | 23,059 | misrepresented fractional seconds in timestamps and timedeltas | {
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... | open | false | null | [] | null | 2 | 2018-10-09T14:00:09Z | 2020-05-03T21:40:00Z | null | CONTRIBUTOR | null | #### Code Sample
```python
>>> timestamp = 1490193630.8
>>> pd.to_timedelta(timestamp, unit='s')
Timedelta('17247 days 14:40:30.799999')
```
However, this works:
```python
>>> pd.to_timedelta(timestamp*1e9, unit='ns')
Timedelta('17247 days 14:40:30.800000')
```
#### Problem description
Depending upon ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23060/events | https://github.com/pandas-dev/pandas/pull/23060 | 368,268,811 | MDExOlB1bGxSZXF1ZXN0MjIxNDg1MTA1 | 23,060 | REF: collect ops dispatch functions in one place, try to de-duplicate SparseDataFrame methods | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23061/events | https://github.com/pandas-dev/pandas/issues/23061 | 368,299,281 | MDU6SXNzdWUzNjgyOTkyODE= | 23,061 | API: set should not be considered list_like | {
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"followers_url": "https://api.github... | 7 | 2018-10-09T16:39:15Z | 2018-10-23T05:52:34Z | 2018-10-23T05:52:34Z | CONTRIBUTOR | null | The name of the function `is_list_like` from `pandas.core.dtypes.common` suggests that whatever gets `True` returned will be "like a list". As such, it's used in a handful of places - e.g. I got asked to use it in #20347, and now again in #22486. What I found out in the latter one is that it's true for sets:
```
>>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23062/events | https://github.com/pandas-dev/pandas/pull/23062 | 368,338,111 | MDExOlB1bGxSZXF1ZXN0MjIxNTM5MzIy | 23,062 | DEPS: drop numpy < 1.12 | {
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"followers_url": "https://api.github... | 23 | 2018-10-09T18:25:59Z | 2018-10-15T18:28:01Z | 2018-10-15T17:07:34Z | CONTRIBUTOR | null | - [x] closes #21242
- [x] tests modified / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Spurred on also partly by compat failure of #22725. ;-)
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https://api.github.com/repos/pandas-dev/pandas/issues/23063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23063/events | https://github.com/pandas-dev/pandas/issues/23063 | 368,352,474 | MDU6SXNzdWUzNjgzNTI0NzQ= | 23,063 | BUG: TimedeltaIndex == integer raises TypeError | {
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"followers_url": "https://api.github... | 2 | 2018-10-09T19:03:44Z | 2018-12-05T12:47:23Z | 2018-12-05T12:47:23Z | MEMBER | null | ```
pd.TimedeltaIndex(['1D']) == 1
[...]
TypeError: cannot compare a TimedeltaIndex with type int
pd.TimedeltaIndex(['1D']) == 1.
[...]
TypeError: cannot compare a TimedeltaIndex with type float
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23064/events | https://github.com/pandas-dev/pandas/issues/23064 | 368,395,013 | MDU6SXNzdWUzNjgzOTUwMTM= | 23,064 | DataFrame merge significantly slower in Python 3.6 and 3.7 | {
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<details>
```python
import numpy as np
import pandas as pd
from line_profiler import LineProfiler
left_on = right_on = ['object_7', 'object_3', 'int64_21']
column_types = {
'object_5': 'object', 'int32_5': 'int32', 'object_14': 'object', 'int64... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23065 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23065/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23065/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23065/events | https://github.com/pandas-dev/pandas/pull/23065 | 368,408,580 | MDExOlB1bGxSZXF1ZXN0MjIxNTkzOTQz | 23,065 | Add allow_sets-kwarg to is_list_like | {
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"followers_url": "https://api.github... | 29 | 2018-10-09T21:37:23Z | 2018-10-22T14:16:59Z | 2018-10-18T15:53:33Z | CONTRIBUTOR | null | - [x] closes ~~#23009~~ #23061
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is an attempt responding to https://github.com/pandas-dev/pandas/pull/22486#issuecomment-428159769:
> @h-vetinari why don't you try (separate PR) excluding set... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23066/events | https://github.com/pandas-dev/pandas/issues/23066 | 368,420,307 | MDU6SXNzdWUzNjg0MjAzMDc= | 23,066 | hash_pandas_object on ExtensionArray-backed Series fails with TypeError | {
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"color": "eb6... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 8 | 2018-10-09T22:16:37Z | 2019-10-25T01:33:26Z | 2018-10-11T11:41:57Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd
In [2]: pd.Series
Out[2]: pandas.core.series.Series
In [4]: s = pd.Series(pd.interval_range(0, periods=10))
In [5]: pd.util.hash_pandas_object(s)
```
```pytb
---------------------------------------------------------------------------
TypeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23067/events | https://github.com/pandas-dev/pandas/issues/23067 | 368,463,820 | MDU6SXNzdWUzNjg0NjM4MjA= | 23,067 | read_csv() - "skiprows" should ignore "comment" | {
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... | 11 | 2018-10-10T01:58:23Z | 2020-05-13T19:55:07Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pandas.read_csv(URL, delimiter='|', comment='#', skiprows=4)
```
#### Problem description
`ParserError` when reading CSV files with comments at the beginning of the file. Line count of comments varies.
EDIT: `ParseError` is due to the fact that... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23068/events | https://github.com/pandas-dev/pandas/pull/23068 | 368,472,408 | MDExOlB1bGxSZXF1ZXN0MjIxNjQyODky | 23,068 | Corrected 'columns' argument of 'to_csv' method | {
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] | closed | false | null | [] | null | 1 | 2018-10-10T02:46:23Z | 2018-10-10T16:46:44Z | 2018-10-10T16:46:32Z | CONTRIBUTOR | null | Compared the 'to_csv' method described in https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html with the same method described in https://pandas.pydata.org/pandas-docs/stable/io.html#writing-to-csv-format and noticed difference between the two in the 'columns' and 'cols' argument.
- [ ]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23069/events | https://github.com/pandas-dev/pandas/issues/23069 | 368,497,366 | MDU6SXNzdWUzNjg0OTczNjY= | 23,069 | pandas.Series.multiply documentation examples correction | {
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Series.multiply(other, level=None, fill_value=None, axis=0)
Multiplication of series and other, element-wise (binary operator mul).
...
Examples:
>>> a = pd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
>>> a
a 1.0
b 1.0
c 1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23070/events | https://github.com/pandas-dev/pandas/issues/23070 | 368,502,768 | MDU6SXNzdWUzNjg1MDI3Njg= | 23,070 | Pandas any() returning false with true values present | {
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"followers_url": "https://api.github... | 3 | 2018-10-10T05:44:37Z | 2018-12-30T18:43:03Z | 2018-12-30T18:43:03Z | NONE | null | #### Code Sample
```python
In [1]: from io import StringIO
In [2]: import pandas as pd
In [3]: data = StringIO("""issue_date,issue_date_dt
...: ,
...: ,
...: 19600215.0,1960-02-15
...: ,
...: ,""")
In [4]: df = pd.read_csv(data, parse_dates=[1])
In [5]: df
Out[5]:
issue_date iss... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23071/events | https://github.com/pandas-dev/pandas/issues/23071 | 368,531,340 | MDU6SXNzdWUzNjg1MzEzNDA= | 23,071 | operator overloading when a Pandas series contains objects (Pyomo Var or Expressions) | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-10-10T07:37:48Z | 2018-10-10T13:06:49Z | 2018-10-10T13:06:43Z | NONE | null | ### This inequality expression on a series triggers an exception:
```python
(stocks.decisions.decision <= 1000)
```
##### When the types of the objects are as follows:
```python
type(stocks.decisions) ==> pandas.core.frame.DataFrame
type(stocks.decisions.decision) ==> pandas.core.serie... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23072/events | https://github.com/pandas-dev/pandas/pull/23072 | 368,550,615 | MDExOlB1bGxSZXF1ZXN0MjIxNzAxMDE5 | 23,072 | Fixing memory leaks in read_csv | {
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"followers_url": "https://api.github... | 15 | 2018-10-10T08:33:17Z | 2020-07-23T13:45:25Z | 2018-11-19T12:09:41Z | CONTRIBUTOR | null | This PR fixes a memory leak in parsers.pyx detected by valgrind, and also adds some further cleanup that should avoid memory leaks on exceptions,
closes #21353
- Moved the allocation of na_hashset further down, closer to where it is used. Otherwise it will not be freed if `continue` is executed,
- Delete `na_has... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23073/events | https://github.com/pandas-dev/pandas/pull/23073 | 368,689,964 | MDExOlB1bGxSZXF1ZXN0MjIxODA4Mzc3 | 23,073 | STY: avoid backslash | {
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This gets most of the non-`textwrap.dedent` cases. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23074/events | https://github.com/pandas-dev/pandas/issues/23074 | 368,737,239 | MDU6SXNzdWUzNjg3MzcyMzk= | 23,074 | Add base test for Series[ExtensionArray].value_counts with sort=False | {
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"d... | open | false | null | [] | null | 3 | 2018-10-10T15:58:45Z | 2019-10-21T19:52:18Z | null | CONTRIBUTOR | null | I had a bug in my `PeriodArray.sort_values` implementation w.r.t sorting.
Here's a generic test that would have caught it.
```diff
diff --git a/pandas/tests/extension/base/methods.py b/pandas/tests/extension/base/methods.py
index 4e7886dd2..4550817f0 100644
--- a/pandas/tests/extension/base/methods.py
+++ b/p... | {
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"followers_url": "https://api.github... | 3 | 2018-10-10T17:22:37Z | 2018-10-23T03:07:42Z | 2018-10-23T03:07:42Z | MEMBER | null | Some of the directives being used in our benchmarks (`asv_bench/benchmarks/`) are deprecated in asv. e.g. in `algorithms.py` each of the benchmark classes defines `goal_time` (e.g. https://github.com/pandas-dev/pandas/blob/master/asv_bench/benchmarks/algorithms.py#L18), but it looks like asv just ignores that: https://... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23076/events | https://github.com/pandas-dev/pandas/issues/23076 | 368,786,427 | MDU6SXNzdWUzNjg3ODY0Mjc= | 23,076 | Unclear documentation of inplace parameter for pandas.DataFrame.rename. | {
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The documentation for pandas.DataFrame.rename currently reads
> inplace : boolean, default False
>
> Whether to return a new DataFrame. If True then value of copy is ignored.
The sentence "Whether to return a new DataFrame" suggests that setting this parameter to True means a new Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23077/events | https://github.com/pandas-dev/pandas/issues/23077 | 368,850,838 | MDU6SXNzdWUzNjg4NTA4Mzg= | 23,077 | Handle ExtensionArrays in Series.unstack / DataFrame.stack | {
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"followers_url": "https://api.github... | 5 | 2018-10-10T20:56:47Z | 2018-11-07T15:34:58Z | 2018-11-07T15:34:58Z | CONTRIBUTOR | null | Here's a test for `Series.unstack`
```diff
diff --git a/pandas/tests/extension/base/reshaping.py b/pandas/tests/extension/base/reshaping.py
index 0340289e0..a040fba63 100644
--- a/pandas/tests/extension/base/reshaping.py
+++ b/pandas/tests/extension/base/reshaping.py
@@ -171,3 +171,16 @@ class BaseReshapingTest... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23078/events | https://github.com/pandas-dev/pandas/issues/23078 | 368,855,170 | MDU6SXNzdWUzNjg4NTUxNzA= | 23,078 | comparison between two PeriodIndexes doesn't validate length | {
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 4 | 2018-10-10T21:07:10Z | 2018-12-25T23:34:00Z | 2018-12-25T23:34:00Z | CONTRIBUTOR | null | ```python
In [5]: idx = pd.period_range('2017', periods=12, freq="A-DEC")
In [6]: idx <= idx[[0]]
Out[6]:
array([ True, False, False, False, False, False, False, False, False,
False, False, False])
```
This should raise.
Both `DatetimeIndex` and `TimedeltaIndex` do raise
```python
In [8]: idx... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23079/events | https://github.com/pandas-dev/pandas/issues/23079 | 368,863,712 | MDU6SXNzdWUzNjg4NjM3MTI= | 23,079 | Refactor DataFrame.combine for datetimelike | {
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"followers_url": "https://api.github... | 0 | 2018-10-10T21:31:53Z | 2018-10-26T00:21:23Z | 2018-10-26T00:21:23Z | CONTRIBUTOR | null | In DataFrame.combine, we handle datetimelike data special. https://github.com/pandas-dev/pandas/blob/296c251d0e2bd112d26b980f1798db14f264b664/pandas/core/frame.py#L5116
We attempt to pass a third argument to the combining `func`. This breaks things like
```python
In [16]: def combiner(x, y): return x
In [17]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23080/events | https://github.com/pandas-dev/pandas/issues/23080 | 368,908,685 | MDU6SXNzdWUzNjg5MDg2ODU= | 23,080 | DatetimeIndex._use_cached_range, _cached_range not reachable | {
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"followers_url": "https://api.github... | 1 | 2018-10-11T00:47:23Z | 2018-10-14T19:36:33Z | 2018-10-14T19:36:33Z | MEMBER | null | Because `freq._should_cache()` is always False.
My inclination would be to get rid of use_cached_range and cached_range (as opposed to enabling it) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23082/events | https://github.com/pandas-dev/pandas/pull/23082 | 368,922,060 | MDExOlB1bGxSZXF1ZXN0MjIxOTg0Mjcw | 23,082 | Support ExtensionArray in hash_pandas_object | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23083/events | https://github.com/pandas-dev/pandas/pull/23083 | 368,924,098 | MDExOlB1bGxSZXF1ZXN0MjIxOTg1Nzk4 | 23,083 | PERF: Override PeriodIndex.unique | {
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"followers_url": "https://api.github... | 3 | 2018-10-11T02:15:12Z | 2018-10-11T15:32:04Z | 2018-10-11T11:42:37Z | MEMBER | null | In trying to simplify the mess that is the PeriodIndex constructors, I found that PeriodIndex.unique is doing an unfortunate conversion to object-dtype. This PR avoids that and gets a nice speedup.
```
In [2]: pi = pd.period_range('1000Q1', periods=10000, freq='Q')
In [3]: %timeit pi.unique()
The slowest run t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23084/events | https://github.com/pandas-dev/pandas/issues/23084 | 368,949,548 | MDU6SXNzdWUzNjg5NDk1NDg= | 23,084 | Improve doc/README.rst | {
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Items here can certainly be improved for clarification to new contributors | {
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"followers_url": "https://api.github... | 9 | 2018-10-11T05:41:24Z | 2018-12-03T06:47:42Z | 2018-10-11T06:19:36Z | CONTRIBUTOR | null | #22947 broke the ASV - second time in a few days that linting the benchmarks has broken something (see #22978 / #22886)
@datapythonista, could you please require that PRs try
```
cd asv_bench
asv dev
```
to see if *collection* of benchmark works? This takes about 30 seconds and then the asv run can be aborted w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23086/events | https://github.com/pandas-dev/pandas/issues/23086 | 368,986,766 | MDU6SXNzdWUzNjg5ODY3NjY= | 23,086 | It is not clear whether database connection need to be closed manually after calling pd.read_sql() | {
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... | 9 | 2018-10-11T07:26:55Z | 2019-11-22T16:19:27Z | 2019-11-22T16:19:27Z | NONE | null | The document does not mention it. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23087/events | https://github.com/pandas-dev/pandas/issues/23087 | 369,077,120 | MDU6SXNzdWUzNjkwNzcxMjA= | 23,087 | Implement/dispatch unary operations for ExtensionArrays | {
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... | 3 | 2018-10-11T11:31:29Z | 2021-06-23T03:11:15Z | null | MEMBER | null | xref https://github.com/pandas-dev/pandas/pull/22325/files#r220580694
unary ops are not implemented by EAs and also not dispatched to EAs:
```
In [161]: s = pd.Series([1, 2, 3], dtype='Int64')
In [162]: -s
Out[162]:
0 -1
1 -2
2 -3
dtype: object
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23088/events | https://github.com/pandas-dev/pandas/issues/23088 | 369,077,934 | MDU6SXNzdWUzNjkwNzc5MzQ= | 23,088 | Pandas Fails Test | {
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```python
$ python3 -m jupyter console
Jupyter console 6.0.0
Python 3.6.5 (default, Apr 4 2018, 15:09:05)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.0.1 -- An enhanced Interactive Python. Type '?' for help.
In [1]: i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23089/events | https://github.com/pandas-dev/pandas/issues/23089 | 369,090,558 | MDU6SXNzdWUzNjkwOTA1NTg= | 23,089 | DEPR: index argument to SparseArray | {
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```python
In [1]: import pandas as pd
In [2]: pd.SparseArray(1, index=[0, 1, 2])
Out[2]:
[1, 1, 1]
Fill: 0
IntIndex
Indices: array([0, 1, 2], dtype=int32)
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23090/events | https://github.com/pandas-dev/pandas/pull/23090 | 369,099,601 | MDExOlB1bGxSZXF1ZXN0MjIyMTIwNzk0 | 23,090 | ASV: add tests for indexing engines and Uint64Engine | {
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"followers_url": "https://api.github... | 3 | 2018-10-11T12:34:13Z | 2018-10-18T17:46:22Z | 2018-10-18T16:12:19Z | CONTRIBUTOR | null | This is an offspring from #21699 to do the the ASV tests in a contained PR.
For reference the output from running ``asv run -b indexing_engines`` is:
```
· Creating environments
· Discovering benchmarks
·· Uninstalling from conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-x... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23091/events | https://github.com/pandas-dev/pandas/pull/23091 | 369,120,639 | MDExOlB1bGxSZXF1ZXN0MjIyMTM3NDI0 | 23,091 | clean CategoricalIndex.get_loc and improve error message | {
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"followers_url": "https://api.github... | 3 | 2018-10-11T13:26:22Z | 2018-10-18T17:43:21Z | 2018-10-18T16:13:22Z | CONTRIBUTOR | null | This is an offspring from #21699 to do the a cleanup in a contained PR.
``self.categories.get_loc(key)`` can never return -1, so the ``if (codes == -1): raise KeyError(key)`` is unnecessary. Instead, if key is not in self.categories, a KeyError is raised straight away.
```python
>>> ci = pd.CategoricalIndex(['a'... | {
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... | 2 | 2018-10-11T14:28:38Z | 2021-02-13T13:06:49Z | 2021-02-13T13:06:48Z | CONTRIBUTOR | null | I haven't investigated this at all. Maybe it's expected
```python
In [6]: pd.core.dtypes.cast.astype_nansafe(a, float)
Out[6]: array([1., 2., 3.])
In [7]: pd.core.dtypes.cast.astype_nansafe(a, float, copy=False)
Out[7]: array([4.9e-324, 9.9e-324, 1.5e-323])
```
To whoever maybe fixes this in the future, `_... | {
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See https://github.com/pandas-dev/pandas/issues/8508#issuecomment-421184687 for additional context. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23095/events | https://github.com/pandas-dev/pandas/pull/23095 | 369,230,328 | MDExOlB1bGxSZXF1ZXN0MjIyMjIxNzI3 | 23,095 | PERF: PeriodIndex.dropna, difference, take | {
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Besides the performance boost, this goes a long way towards making `PeriodIndex._simple_new` actually simple; avoids passing object-dtype to `_simple_new`
```
In [2]: pi_with_nas = pd.PeriodIndex(['1985Q1', 'NaT', '1985Q2'] * 1000, freq='Q')
In [3]: %timeit pi_with_nas.dropna()
The slowest run ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23096/events | https://github.com/pandas-dev/pandas/pull/23096 | 369,332,867 | MDExOlB1bGxSZXF1ZXN0MjIyMzAwNTUx | 23,096 | Add isort config | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Confirming that CI fails when Imports are incorrectly formatted. See here:
https://travis-ci.org/pandas-dev/pandas/jobs/440557769
Sample output:
Doctests top-level reshaping functions DONE
Check import format using iso... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23097/events | https://github.com/pandas-dev/pandas/pull/23097 | 369,337,326 | MDExOlB1bGxSZXF1ZXN0MjIyMzAzNzIw | 23,097 | Docs readme update | {
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- [x] No tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] Modified the process for updating forks in docs/README.rst to use git merge instead of git rebase. Also added the git command for setting upstream to pandas.
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https://api.github.com/repos/pandas-dev/pandas/issues/23098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23098/events | https://github.com/pandas-dev/pandas/issues/23098 | 369,355,952 | MDU6SXNzdWUzNjkzNTU5NTI= | 23,098 | CLN: commented-out code in TimedeltaIndex._partial_td_slice | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23099/events | https://github.com/pandas-dev/pandas/pull/23099 | 369,357,132 | MDExOlB1bGxSZXF1ZXN0MjIyMzE4OTU5 | 23,099 | REF: de-duplicate datetimelike wrapping code | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR is an update to PR #20211, improving the `Index.contains` docstring.
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https://api.github.com/repos/pandas-dev/pandas/issues/23101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23101/events | https://github.com/pandas-dev/pandas/pull/23101 | 369,472,409 | MDExOlB1bGxSZXF1ZXN0MjIyNDA1MzI1 | 23,101 | Ignoring W504 (line break after binary operator) in linting | {
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sample.html
the columns donnot match , should move to right
in Google Chrome, win 7 , l... | {
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] | open | false | null | [] | null | 4 | 2018-10-12T11:32:13Z | 2018-10-21T21:18:19Z | null | NONE | null | #### Problem description
The last page of the pandas documentation (as a PDF) contains a broken reference in the `Python Module Index`, namely `pandas, ??`. Those two question marks don't belong there I guess.
See https://pandas.pydata.org/pandas-docs/stable/pandas.pdf
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https://api.github.com/repos/pandas-dev/pandas/issues/23104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23104/events | https://github.com/pandas-dev/pandas/issues/23104 | 369,525,546 | MDU6SXNzdWUzNjk1MjU1NDY= | 23,104 | Reindex broken | {
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```python
from __future__ import print_function
import pandas as pd
import numpy as np
print("Panda version:", pd.__version__)
print("+++++++++++++++++++++++++++++++++++")
print(pd.show_versions())
print("+++++++++++++++++++++++++++++++++++")
####################################################
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23105/events | https://github.com/pandas-dev/pandas/pull/23105 | 369,526,969 | MDExOlB1bGxSZXF1ZXN0MjIyNDQ3NDk0 | 23,105 | DOC: Unclear documentation of inplace parameter for rename function. | {
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- [X] closes #23076
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23106/events | https://github.com/pandas-dev/pandas/issues/23106 | 369,527,248 | MDU6SXNzdWUzNjk1MjcyNDg= | 23,106 | API: IntegerArray reductions: data type of the scalar result? | {
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... | 5 | 2018-10-12T12:18:44Z | 2021-06-23T03:14:12Z | null | MEMBER | null | Follow-up on https://github.com/pandas-dev/pandas/pull/22762 which added `_reduce` to the ExtensionArray interface and added an implementation for IntegerArray.
Currently, for that IntegerArray we special case 'sum', 'min', 'max' to make sure they return ints (because the underlying implementation can be based on a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23107/events | https://github.com/pandas-dev/pandas/pull/23107 | 369,550,449 | MDExOlB1bGxSZXF1ZXN0MjIyNDY1NjAw | 23,107 | DOC: Improve the docstring of pd.Index.contains | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR updates the previous PR #20211, based on reviews and docstring standards. It was worked upon with the help of @datapythonista
Kindly review, I will make all the necessary changes to it. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23108/events | https://github.com/pandas-dev/pandas/issues/23108 | 369,573,704 | MDU6SXNzdWUzNjk1NzM3MDQ= | 23,108 | pandas saving with index=False as default | {
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I was wondering if it would be better to have `index=False` by default for instance in to_csv, to avoid having to eliminate the extra column every time you reload the same df.
Thanks for the feedbacks.
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https://api.github.com/repos/pandas-dev/pandas/issues/23109 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23109/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23109/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23109/events | https://github.com/pandas-dev/pandas/issues/23109 | 369,575,964 | MDU6SXNzdWUzNjk1NzU5NjQ= | 23,109 | BUG: skipna parameter in series.any() returns wrong result | {
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```
#importing pandas module
import pandas as pd
#importing numpy module
import numpy as np
data=pd.DataFrame({'A':[1,2,3,4,0,np.nan,3],
'B':[3,1,4,5,0,np.nan,5]})
data.any(axis=1,skipna=True)
```
Expected output:
0 True
1 True
2 True
3 True
4 False
5 T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23110/events | https://github.com/pandas-dev/pandas/pull/23110 | 369,594,185 | MDExOlB1bGxSZXF1ZXN0MjIyNDk5MzI0 | 23,110 | DEPR: deprecate fastpath keyword in Index constructors | {
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"followers_url": "https://api.github... | 12 | 2018-10-12T15:12:06Z | 2018-10-18T18:05:08Z | 2018-10-18T17:25:37Z | MEMBER | null | From all that looking at Index constructors ...
Apparently it was even hardly used internally for the Index classes (except a little bit in RangeIndex).
Part of https://github.com/pandas-dev/pandas/issues/20110
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https://api.github.com/repos/pandas-dev/pandas/issues/23111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23111/events | https://github.com/pandas-dev/pandas/pull/23111 | 369,607,786 | MDExOlB1bGxSZXF1ZXN0MjIyNTA5OTAy | 23,111 | CI: Some Azure Pipelines cleanups | {
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"followers_url": "https://api.github... | 23 | 2018-10-12T15:46:52Z | 2018-12-11T15:08:57Z | 2018-12-11T15:08:57Z | CONTRIBUTOR | null | Hey all, I'm a PM on Azure Pipelines. I noticed you had some comments in your `azure-pipelines.yml` regarding conditional steps and possibly adding a Linux flavor. I've taken the liberty of addressing those issues.
One thing I didn't completely finish: getting Linux to publish test results. The problem is that there... | {
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