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https://api.github.com/repos/pandas-dev/pandas/issues/39819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39819/events | https://github.com/pandas-dev/pandas/pull/39819 | 808,620,607 | MDExOlB1bGxSZXF1ZXN0NTczNjMwNjky | 39,819 | [WIP] ENH: Add only_unique group-by aggregation method | {
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- [x] closes #xxxx N/A
- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39820/events | https://github.com/pandas-dev/pandas/pull/39820 | 808,624,333 | MDExOlB1bGxSZXF1ZXN0NTczNjMzNzMy | 39,820 | REF: call ensure_wrapped_if_datetimelike before the array arithmetic_op | {
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The actual goal here is to have a version of [`array_ops.py::arithmetic_op`](https://github.com/... | {
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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- [x] update docs for existing highlight functions for consistency
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Trying to add it back using action provided by codecov. https://github.com/codecov/codecov-action
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https://api.github.com/repos/pandas-dev/pandas/issues/39823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39823/events | https://github.com/pandas-dev/pandas/issues/39823 | 808,738,600 | MDU6SXNzdWU4MDg3Mzg2MDA= | 39,823 | Raise an error on redundant definition of separator in read_csv | {
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When calling `read_csv` and specifying both `sep` and `delim_whitespace`, or both `delimiter` and `delim_whitespace` I get a `ValueError` in pandas 1.3.0.dev0+713.g9f792cd903. For example:
`df = pd.read_csv("my_data.csv", sep=' ', delim_whitespace=True)`
and
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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Using `np.prod` gives quite some overhead, and I *think* it's always equivalent to `.size` ?
```
In [1]: arr = np.random.randn(3, 2)
In [2]: %timeit arr.size
42.8 ns ± 0.628 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each)
In [3]: %timeit n... | {
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- [ ] ~~I have confirmed this bug exists on the latest version of pandas.~~
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Problem description
This issue is a bit vague, because I'm not sure that I... | {
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It also handles automatically unassigning them after a period of inactivity, which is the more interesting part. The motivation here is that I bet there are a lot of ... | {
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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
csv_reader = pandas.read_c... | {
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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
import os
import pandas a... | {
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```python
import pandas as pd
df = pd.DataFrame([{'publish_time': pd.Timestamp('2017-11-13 17:13:01+0000', tz='UTC'),
'title': 'A'},
{'publish_time': pd.Timestamp('2017-11-13 07:30:00+0000', tz='UTC'),
'title': 'B'},
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might as well include the test now.
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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
import pandas as pd
impor... | {
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<details>
```
[ 0.00%] ·· Benchmarking existing-py_home_simon_miniconda3_envs_numpy-types_bin_python
[ 50.00%] ··· series_methods.IsInLongSeriesLookUpDominates.time_isin ... | {
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... | 6 | 2021-02-16T16:45:21Z | 2021-08-09T06:41:55Z | null | NONE | null | #### Location of the documentation
`pandas.core.indexing.IndexingMixin.loc`
`pandas.DataFrame.__setitem__`
#### Documentation problem
When assigning a `Series` through `df[...] = ...` or `df.loc[...] = `, the `Series`' index is expanded to conform to the `DataFrame`'s, and then values are added according to t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39846 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39846/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39846/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39846/events | https://github.com/pandas-dev/pandas/pull/39846 | 809,474,274 | MDExOlB1bGxSZXF1ZXN0NTc0MzMwNjIy | 39,846 | ASV: add benchmarks for groupby cython aggregations | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
Hello Pandas, while working on cuDF binops, I noticed... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2021-02-16T19:54:43Z | 2021-02-17T21:34:38Z | 2021-02-17T21:34:38Z | MEMBER | null | Currently, we have a benchmark for frame/frame ops with a wide dataframe (originating from previous (long) PR / discussion about this, xref https://github.com/pandas-dev/pandas/pull/32779)
To get a better idea of the trade-offs for future changes to the ops code (eg ArrayManager related), I think it is useful to hav... | {
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"color": "5319... | closed | false | null | [] | null | 2 | 2021-02-16T21:19:22Z | 2021-02-22T06:09:35Z | 2021-02-22T06:09:35Z | CONTRIBUTOR | null | - [ ] closes #39823
- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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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
import pandas as pd
df = ... | {
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In [3]: arr = np.array(0)
In [4]: arr2 = np.array([0])
In [5]: %timeit is_list_like([])
118 ns ± 2.21 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each) # <-- PR
328 ns ± 3.3 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each) # <-- master
In [6]: %timeit is_list_like(0)
271 ns ± ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39853/events | https://github.com/pandas-dev/pandas/issues/39853 | 809,706,637 | MDU6SXNzdWU4MDk3MDY2Mzc= | 39,853 | BUG: array ufuncs with more than 2 inputs fails with 2 or more pd.Series and scalar arguments | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
(note that this requires the gsw libr... | {
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```
2021-02-16T22:44:34.3078267Z =================================== FAILURES ===================================
2021-02-16T22:44:34.3078772Z _______________... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/39857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39857/events | https://github.com/pandas-dev/pandas/issues/39857 | 809,862,249 | MDU6SXNzdWU4MDk4NjIyNDk= | 39,857 | BUG: read_csv() does not read all the lines in a tsv file | {
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"descript... | closed | false | null | [] | null | 4 | 2021-02-17T05:17:30Z | 2021-05-12T22:14:30Z | 2021-05-12T22:14:30Z | NONE | null | **Code Sample, a copy-pastable example if possible**
`snps_df = pd.read_csv('cast_chr7_snps.txt', sep='\t', header=None)`
[cast_chr7_snps.txt](https://github.com/pandas-dev/pandas/files/5993376/cast_chr7_snps.txt)
**Problem description**
`pd.read_csv` doesn't read the entire file (30219 of the 30423 rows).
I d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39858/events | https://github.com/pandas-dev/pandas/pull/39858 | 809,873,299 | MDExOlB1bGxSZXF1ZXN0NTc0NjU5MTk4 | 39,858 | DOC: Update matplotlib canonical | {
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https://pandas.pydata.org/docs/
#### Documentation problem
I'll write it as a user story:
_As a pandas user, when I come across a small problem with the documentation (like a typo), I want to be able to suggest a fix with minimal friction._
Currently, contributors need ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39860/events | https://github.com/pandas-dev/pandas/issues/39860 | 809,985,742 | MDU6SXNzdWU4MDk5ODU3NDI= | 39,860 | BUG: read_json() converts non-existent fields in text 'NaN' | {
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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.
---
I am reading a big JSON file with json in lines:
`pandas.read_json("big_file.js... | {
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Context: for a columnar dataframe (with ArrayManager), we would also perform the groupby operations column by column (instead of on the 2D blocks). Most of our custom cython aggregation algorithms are cur... | {
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Sorry for the german locales, but I guess the message is pretty clear anyways. The pandas docs are blocked by google safe browsing service.
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"followers_url": "https://api.github.com... | 4 | 2021-02-17T16:22:55Z | 2021-02-18T10:46:35Z | 2021-02-17T20:56:47Z | MEMBER | null | #### Location of the documentation
https://pandas.pydata.org/pandas-docs/dev/reference/api/pandas.DataFrame.lookup.html?highlight=lookup#pandas.DataFrame.lookup
#### Documentation problem
It says
> For an example see lookup() in the user guide.
but the hyperlink doesn't send to the user guide
#### S... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39864/events | https://github.com/pandas-dev/pandas/pull/39864 | 810,364,460 | MDExOlB1bGxSZXF1ZXN0NTc1MDY4MjMx | 39,864 | Update offsets.pyx | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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```
d = pd.Timestamp('2017-10-31T00:00:00+00:00')
d -= pd.DateOffset(months=1)
d += pd.DateOffset(months=1)
assert d == pd.Timestamp('2017-10-31T00:00:00+00:00'), f"Date '{d}' is not as expected"
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Proof of concept for #19254
Is relatively fast compared to @rhshadrach method
```
I... | {
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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
import numpy as np
import... | {
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"... | open | false | null | [] | null | 0 | 2021-02-17T22:33:31Z | 2021-03-24T14:35:23Z | null | NONE | null | #### Code `Sample`
```python
import numpy as np
import pandas as pd
from scipy import sparse as sp_sparse
# Create categorical type and sparse type from it.
custom_type = pd.CategoricalDtype(categories=['Zero', 'One'])
categorical_sparse_type = pd.SparseDtype(dtype=custom_type, fill_value='Zero')
# Create... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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df = pd.DataFrame({
'col1': ['A', 'A', 'A', 'A', 'A', 'A']*15,
'col2': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]*15,
'col3': [0, 1, 9, 4, 2, 3]*15,
'col4': ['a', 'B', 'c', 'D', 'e', 'F']*15
})
df.sort_values('col2', ascending=True)
```
Why this operation disorders the entire dataframe ? The same wil... | {
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- Ability to use three-letter month short names as `month` / `startingMonth` arguments of year- / quarter-based offset classes (as already used in their `_from_name` class method).
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- [x] I have confirmed this bug exists on the latest version of pandas.
(the issue sounds familiar, but I couldn't find it anywhere...)
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: P... | {
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I am expriencing a weird bug while trying to convert a list to datetime.
Here is a bug repro:
```python
import pandas as pd
s = pd.Series([None, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, pd.NaT, p... | {
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`maybe_numeric_slice` is a convoluted wrapper for selecting numeric columns so removed.
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This implements one aspect of groupby: basic cython-based aggregations (so not yet general apply, python fallback, or other methods, etc, only the basic aggregations that take the `_cython_agg_general` path).
Similarly to how we currently have a `_cython_agg... | {
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- [ ] One test does not pass and I don't know why
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It would address #38914 and #38859.
- [ ] closes #38914 #38859
- [x] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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In addition a new errata posted suggests that a scalar should be changed (albeit this ... | {
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Addresses #8435 and #5307
- [ ] closes #8435 #5307
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```
import openpyxl
import pandas as pd
import numpy as np
from openpyxl.workbook import Workbook
wb = openpyxl.load_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39895/events | https://github.com/pandas-dev/pandas/issues/39895 | 811,458,886 | MDU6SXNzdWU4MTE0NTg4ODY= | 39,895 | BUG: groupby dropna=False doesn't work for multi index columns | {
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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
In [1]: df = pd.DataFrame(dict(a=[nan], b=[0], c=[1])... | {
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`vintable = pd.concat([vintable, data], join='inner', ignore_index=True)`
I expect this to concatenate the rows, inner-join the columns, and then reindex - which it used to do in December. But now I get this error: "Reindexing only valid... | {
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The excel file has 2 columns Date and Time and I want to read both columns as str not the excel dtype.
Example of the excel file
[test1.xlsx](https://github.com/pandas-dev/pandas/files/6006593/test1.xlsx)
When using the dtype or the converters argument... | {
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xref [this comment](https://github.com/pandas-dev/pandas/pull/39561#discussion_r575644482):
> > more generally, i like relative imports for same-directory as ... | {
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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
From [StackOverflow question posted by Usal... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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If you go to https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop.html with a current Google Chrome (Version 88.0.4324.150 (Official Build) (64-bit), Linux), you get this red page
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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todo:
- [x] during the merge I removed the import gymnastics from `pandas/core/arrays/string_arrow.py`. We added since `ArrowStringDtype` should always be available. I think this is no longer the case and we want to move the import checks to `StringDtype`. I expect envs without pyarrow to f... | {
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Chrome version is 88.0.4324.182... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html
<img width="1439" alt="Screen Shot 2021-02-19 at 7 08 58 AM" src="https://user-images.githubusercontent.com/232564/108515589-7b025f00-7282-11eb-93e3-ad844d272c5a.png">
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https://api.github.com/repos/pandas-dev/pandas/issues/39911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39911/events | https://github.com/pandas-dev/pandas/issues/39911 | 812,083,542 | MDU6SXNzdWU4MTIwODM1NDI= | 39,911 | BUG: DataFrame does not display as LaTeX in Jupyter when it should | {
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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.
---
If you run the following in a Jupyter cell:
```python
import pandas as pd
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- [ ] 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.
---
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
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https://api.github.com/repos/pandas-dev/pandas/issues/39913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39913/events | https://github.com/pandas-dev/pandas/issues/39913 | 812,202,688 | MDU6SXNzdWU4MTIyMDI2ODg= | 39,913 | ENH: new orient setting for read_json to support common API format | {
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I see many APIs return results in the form:
```json
{
"results": [
{"a" :1,
"b":2
},
{
"a" :3,
"b":4
}
]
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```
This format isn't directly supported by pandas. The data is in the "records" orient, but there is an extra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39914/events | https://github.com/pandas-dev/pandas/issues/39914 | 812,209,750 | MDU6SXNzdWU4MTIyMDk3NTA= | 39,914 | ENH: Multi-layered Vector Functions | {
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When working on a large panadas dataframe, I tried to use the iloc method on the dataframe with a list of lists index query. I thought that the behavior of iloc with a 1d array would be extended to 2d arrays, and it would return a 2d array of the query results. This would allow fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39915/events | https://github.com/pandas-dev/pandas/issues/39915 | 812,225,525 | MDU6SXNzdWU4MTIyMjU1MjU= | 39,915 | ENH: `df.explode` should turn empty lists into *no* rows rather than a NaN row | {
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"description": "np.nan, ... | open | false | null | [] | null | 7 | 2021-02-19T18:04:54Z | 2021-08-15T18:42:58Z | null | NONE | null | #### Is your feature request related to a problem?
When using `df.explode`, I'd expect that a list-like `L` gets transformed into `len(L)` rows and a scalar into 1 row. While documented, the current behavior of turning empty list-likes into 1 row containing NaN instead of 0 rows is counterintuitive.
#### Describe... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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There is a cost to refactoring benchmarks, since we have to re-run the new benchmarks on older commi... | {
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"url": "https://api.github.com/repos/pandas-dev/pandas/pulls/39917"
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https://api.github.com/repos/pandas-dev/pandas/issues/39918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39918/events | https://github.com/pandas-dev/pandas/issues/39918 | 812,328,615 | MDU6SXNzdWU4MTIzMjg2MTU= | 39,918 | QST: The site ahead contains harmful programs | {
"avatar_url": "https://avatars.githubusercontent.com/u/3391614?v=4",
"events_url": "https://api.github.com/users/sorenwacker/events{/privacy}",
"followers_url": "https://api.github.com/users/sorenwacker/followers",
"following_url": "https://api.github.com/users/sorenwacker/following{/other_user}",
"gists_ur... | [
{
"color": "0052cc",
"default": false,
"description": null,
"id": 34444536,
"name": "Usage Question",
"node_id": "MDU6TGFiZWwzNDQ0NDUzNg==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Usage%20Question"
},
{
"color": "0052cc",
"default": false,
"descript... | closed | false | null | [] | {
"closed_at": null,
"closed_issues": 2361,
"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisva... | 4 | 2021-02-19T20:35:32Z | 2021-02-19T21:59:02Z | 2021-02-19T21:58:44Z | CONTRIBUTOR | null | I am getting "site contains harmful programs' error here:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.apply.html
> The site ahead contains harmful programs
> Attackers on pandas.pydata.org migh... | {
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} | https://api.github.com/repos/pandas-dev/pandas/issues/39918/timeline | null | null | null |
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