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https://api.github.com/repos/pandas-dev/pandas/issues/33517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33517/events | https://github.com/pandas-dev/pandas/issues/33517 | 598,801,766 | MDU6SXNzdWU1OTg4MDE3NjY= | 33,517 | BUG: Fails and or weird aggregation results when using agg with custom functions | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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```python
Python 3.7.7 (default, Mar 26 2020, 10:32:53)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
Illegal instruction: 4
(Pandas) iMac:~ laurent$ sy... | {
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Closes https://github.com/pandas-dev/pandas/issues/33027
I have a larger cleanup planned, but this fixes the linked issues for now. | {
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To summarize differences between the general definition of frequency and the pandas definition of frequency:
- General de... | {
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cc @jreback | {
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The goal is to prevent index of string that look like datetimelike to be used as datetimelike.
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https://api.github.com/repos/pandas-dev/pandas/issues/33535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33535/events | https://github.com/pandas-dev/pandas/pull/33535 | 599,203,258 | MDExOlB1bGxSZXF1ZXN0NDAyODk2NDg4 | 33,535 | REF: put EA concat logic in _concat_arrays | {
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"de... | closed | false | null | [] | null | 12 | 2020-04-13T23:54:23Z | 2020-04-17T14:59:26Z | 2020-04-17T14:59:08Z | MEMBER | null | cc @jorisvandenbossche @TomAugspurger per discussion in #32586 (among others) about `_concat_same_type`, this is a proof of concept for a 3-method solution:
- `EA._concat_same_dtype` --> require same type _and_ dtype; DTA/PA do this now
- `EA._concat_same_type` --> require same type but not necessarily same type; w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33536/events | https://github.com/pandas-dev/pandas/pull/33536 | 599,214,168 | MDExOlB1bGxSZXF1ZXN0NDAyOTA1MDI0 | 33,536 | ENH: Clear index cache after reindex | {
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By default, reindex causes index to cache values which potentially increases the memory consumption significantly in the case of multiindexes.
```
In [2]: idx = pd.MultiIndex.from_product([pd.date_range('2010-01-01', '2015-01-01'), range(1000)], names=['date', 'id'])... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33537/events | https://github.com/pandas-dev/pandas/pull/33537 | 599,233,372 | MDExOlB1bGxSZXF1ZXN0NDAyOTIwMzg3 | 33,537 | REF: use cached inferred_type when calling lib.infer_dtype(index) | {
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```
if isinstance(key, Index):
key_type = key.inferred_type
else:
key_type = lib.infer_dtype(key, skipna=False)
```
Cleanup of nearby EA-handling code | {
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I think this is mostly interesting in that it allows normalize=True for value_counts on an IntegerArray backed Series, which currently doesn't work:
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https://api.github.com/repos/pandas-dev/pandas/issues/33539 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33539/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33539/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33539/events | https://github.com/pandas-dev/pandas/pull/33539 | 599,258,334 | MDExOlB1bGxSZXF1ZXN0NDAyOTM5ODIw | 33,539 | BUG: Series[listlike_of_ints] incorrect on MultiIndex | {
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- [x] passes `black pandas`
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This is one of the cases that @jorisvandenbossche identified in #33355. | {
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by avoiding Categorical construction for categorical series
- [x] closes #33365
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/33541 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33541/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33541/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33541/events | https://github.com/pandas-dev/pandas/issues/33541 | 599,346,577 | MDU6SXNzdWU1OTkzNDY1Nzc= | 33,541 | DownSampling Time Series Data using pandas | {
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] | closed | false | null | [] | null | 2 | 2020-04-14T07:08:21Z | 2020-08-21T17:06:00Z | 2020-04-14T16:25:39Z | NONE | null | Hi all, i am still new to machine learning , I have time series data as per below and i need tips/help on how to downsample it using scikit-learn. see my dummy data below ,Payment status is my label(0=missed, 1=paid), i need to downsample using time series strategy and keeping temporal order
```
Policy_no Deductio... | {
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... | closed | false | null | [] | null | 6 | 2020-04-14T07:16:53Z | 2020-04-23T20:36:24Z | 2020-04-23T20:36:24Z | NONE | null | #### Is your feature request related to a problem?
I wish I could use pandas to do
```
s = pd.Series([1,2,1,3,1,2])
s.groupby()
```
rather than
```
s.groupby(s)
```
#### Describe the solution you'd like
I would like pandas to interpret the series values as `grouper` when `by` or `level` is not prov... | {
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"color": "7fc... | closed | false | null | [] | null | 12 | 2020-04-14T08:53:45Z | 2021-04-20T05:06:20Z | 2021-04-20T05:06:19Z | CONTRIBUTOR | null | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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In the Getting Started tutorials, section 03 "How to get subsets from a DataFrame", the paragraph beginning:
> We now from before...
should be:
> We know from before... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Identified when trying to add `freq` check to `assert_index_equal` for DatetimeIndex and TimedeltaIndex. | {
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```
pandas/tests/generic/test_to_xarray.py:102
/home/travis/build/pandas-dev/pandas/pandas/tests/generic/test_to_xarray.py:102: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warni... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://github.com/pandas-dev/pandas/issues/29547
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>>> left = pd.array(['59 days', '59 days', pd.NaT]))
>>> left
<StringArray>
['59 days', '59 days', <NA>]
Length: 3, dtype: string
>>> left = pd.array(['59 days', '59 days', pd.NaT], dtype='m8[ns]')
>>> left
<TimedeltaArray>
['59 days', '59 days', NaT]
Length: 3, dtype: timedelta64[ns]
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
pd.Series(['a', 'b', 'c'])... | {
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I often need to plot a heatmap of a DataFrame which uses an `IntervalIndex` as its columns (and, usually, time as its index). Such a plot could also be called a "dynamic spectrum" or "2D histogram" and is used to quickly get an idea of how a spectrum develops over t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33562/events | https://github.com/pandas-dev/pandas/issues/33562 | 600,180,431 | MDU6SXNzdWU2MDAxODA0MzE= | 33,562 | BUG: df.style.apply(subset=...) argument only works for explicit slices but not ":" | {
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It seems that the `subset` argument for pd.DataFrame.style only works for slices with explicit labels, e.g. `['A',2]` but not for select-all labels, e.g. `[:,2]`. See MWE below
```python
import pandas as pd
pd.__version__ # 1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33563 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33563/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33563/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33563/events | https://github.com/pandas-dev/pandas/pull/33563 | 600,242,955 | MDExOlB1bGxSZXF1ZXN0NDAzNzE1NzUx | 33,563 | CI: Fix Deprecation warning from jedi | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/33564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33564/events | https://github.com/pandas-dev/pandas/issues/33564 | 600,253,481 | MDU6SXNzdWU2MDAyNTM0ODE= | 33,564 | DOC: rename_axis 'columns' param | {
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```python
import pandas as pd
import numpy as np
s1 = pd.Series(np.random.randn(3), name="First", index=['a', 'b', 'c'])
s1.rename(columns="My Column")
```
Except :
TypeError: rename_axis() got an unexpected keyword argument "columns"
Description :
The documentation shows a "columns" param whi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33566/events | https://github.com/pandas-dev/pandas/pull/33566 | 600,371,803 | MDExOlB1bGxSZXF1ZXN0NDAzODE5OTQw | 33,566 | CI: Fix jedi deprecation warning for 0.17.0 on IPython | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/33567 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33567/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33567/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33567/events | https://github.com/pandas-dev/pandas/issues/33567 | 600,383,935 | MDU6SXNzdWU2MDAzODM5MzU= | 33,567 | CI : jedi deprecation warnings fails CI | {
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"followers_url": "https://api.github.c... | 0 | 2020-04-15T15:25:13Z | 2020-05-26T09:40:47Z | 2020-04-15T18:09:32Z | MEMBER | null | ```
ip = <IPython.core.interactiveshell.InteractiveShell object at 0x7f10269bd910>
@async_mark()
async def test_tab_complete_warning(self, ip):
# GH 16409
pytest.importorskip("IPython", minversion="6.0.0")
from IPython.core.completer import provisionalcompleter
cod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33568/events | https://github.com/pandas-dev/pandas/pull/33568 | 600,405,347 | MDExOlB1bGxSZXF1ZXN0NDAzODQ2MTQ3 | 33,568 | DOC: Fix heading capitalization in doc/source/whatsnew - part5 (#32550) | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2020-04-15T15:53:50Z | 2020-05-06T21:14:57Z | 2020-05-06T21:14:50Z | CONTRIBUTOR | null | -Quite a lot of complicated issues here, need reviewing. Such as 'Groupby' transformed to 'GroupBy', 'I/O' to 'IO', and some others.
- [ ] Modify files v0.18.0.rst, v0.18.1.rst, v0.19.0.rst, v0.19.1.rst, v0.19.2.rst, v0.20.0.rst, v0.20.2.rst, v0.20.3.rst, v0.21.0.rst, v0.21.1.rst
-File v0.20.0.rst has bad file n... | {
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```
df = pd.DataFrame({
'category': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],
'value': [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]
})
quantiles = df.groupby('category')['value'].quantile(0.75)
print(quant... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33570/events | https://github.com/pandas-dev/pandas/pull/33570 | 600,540,482 | MDExOlB1bGxSZXF1ZXN0NDAzOTUwNTU5 | 33,570 | Reverted cython pin | {
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] | closed | false | null | [] | null | 4 | 2020-04-15T19:37:17Z | 2020-06-11T15:40:31Z | 2020-04-22T04:17:18Z | MEMBER | null | reverts #33534 and closes #33507 | {
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Added parameter that allows user to reset codes | {
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`data['DT']=data... | {
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This is really an extension of #31435, which added index output to the messages produced when series (and DataFrames) are compared. I failed to noti... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
df = pd.DataFrame([
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This is my first time contributing, if I made any errors please tell me! I tried to continue what @joybhallaa was working on. I made a check to see w... | {
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a sequence in JSON world we will receive odd results.
```
>>> json_normalize([{'key': 'value'}], record_path='key')
0
0 v
1 a
2 l
3 u
4 e
```
Based on RFC 8259 (https://tools.ietf.org/html/rfc8259) a JSON value MUST be
object, array... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```
df = pd.DataFrame({'x': [np.nan,... | {
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- [ X ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
I have stumbled upon a strange phenomenon...
T... | {
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with missing values.
- [ ] closes #28597
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Slicing a DataFrame with a datetime index by datetime results in a KeyError when the string contains microseconds.
`df['2017-10-25T16:25:04.252':'2017-10-25T16:50:05.237']`
```
During handling of the above exception, another exception occurred:
KeyError ... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x ] I have confirmed this bug exists on the latest version of pandas.
Version 1.0.3 from the conda distro.
#### Code Sample, a copy-pastable example
```python
import pandas as pd
print('pandas version is', pd.__version__, '\n')
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I created a check to see which files contain Pandas or *pandas* which will be of use for individuals aiming to resolve issue #32316. When the codec... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
import pandas as pd
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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This PR is a followup to #33220 and implements what was discussed there.
A few comments:
- `DatetimeIndex.isocalendar` does not set the index on the returned dataframe,
leading to some cumbersome syntax. This may be worth changing, please let me
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- ax
- subplots
- sharex
- sharey
- secondary_y
- sort_columns
- stacked
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
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Touched on in #32779, this makes all\* DataFrame indexing-on-columns do slicing instead of taking, so doesn't make copies.
\* Actually there is a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33600/events | https://github.com/pandas-dev/pandas/pull/33600 | 601,623,698 | MDExOlB1bGxSZXF1ZXN0NDA0ODYxNTYw | 33,600 | PERF: op(frame, series) when series is not EA | {
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ipython results for the asv this adds:
```
In [3]: arr = np.arange(10 ** 6).reshape(100, -1)
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It's common to want to select nlargest/nsmallest within a groupby based on whichever column is supposed to determine the sort order. However, the DataFrameGroupBy API has no such function, and it's very cumbersome to first select the largest records of a Series and ... | {
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https://github.com/pandas-dev/pandas/issues/29547
- [ ] closes #xxxx
- [x] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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## Scope of PR
This PR makes sure that when we call `count` with a `BaseIndexer` subclass, custom `start` and `end` arrays get calculated, and t... | {
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I sometimes need to visually screen several hundreds of records. For this I do:
```python
pd.set_option('display.max_rows', 300)
```
and then display the dataframe in the output cell of a jupyter notebook.
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Few notes compared to proposal in #22994:
- Since we already have a `f... | {
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- xref #28792
- Added '.' before dataframe/series reference to fix missing link problem. Don't know if it's the best approach.
- Changed base template that is used by some functions to return better See Also section. Hope it's ok.
- Also question about Window class. It doesn't has its counterpar... | {
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Also in this sequence: xref #33604 | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Added parameter that allows user to reset codes | {
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- [x] closes #xxxx
- [ ] tests added / passed
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- [x] closes #24670
- [x] passes `black pandas`
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```
pandas/core/internals/blocks.py:2739: error: unused 'type: ignore' comment
pandas/core/generic.py:4034: error: unused 'type: ignore' comment
pandas/core/generic.py:4093: error: unused 'type: ignore' comment
Found 3 erro... | {
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