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https://api.github.com/repos/pandas-dev/pandas/issues/42621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42621/events | https://github.com/pandas-dev/pandas/pull/42621 | 948,243,307 | MDExOlB1bGxSZXF1ZXN0NjkzMTEwMTE0 | 42,621 | DOC: fix small issues | {
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also replace "OS X" -> macOS
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas... | {
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Will need a follow-on to fully correct for the `MultiIndex` case.
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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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- [Y] I have asked my usage related question on [StackOverflow](https://stackoverflow.com/questions/68456672/group-by-rolling-slow-on-one-instance-but-faster-on-another-is-it-possible-t... | {
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#### Code Sample, a copy-pastable example
```python
import pandas as pd
pd.... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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As I have to cope with financial data, like an accountant, pivot table is a powerful tool for me.Yet recently, calling method `pandas.DataFrame.pivot_table`, I encountered a problem.
With data of `General Ledgers` (17 columns and over 7000 rows) I had expected to get a pivot table with values = `debit... | {
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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 [1]: from asv_bench.benchmarks.frame_ctor import *
In [2]: cls = FromArrays
In [3]: self = cls()
In [4]: self.setup()
In [5]: %timeit self.time_frame_from_arrays_int()
6.21 ms ± 184 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) # <- master
3.27 ms ± 182 µs per loop (mean ± std. dev. of... | {
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Is there a better way to check the stacklevel here?
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Don't re-run ArrayManager tests if we are already in ArrayManager mode.
P.S. I'm not sur... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42638 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42638/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42638/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42638/events | https://github.com/pandas-dev/pandas/issues/42638 | 949,159,628 | MDU6SXNzdWU5NDkxNTk2Mjg= | 42,638 | date_range bug for | {
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... | closed | false | null | [] | null | 6 | 2021-07-20T22:29:17Z | 2021-07-22T16:51:26Z | 2021-07-22T16:19:51Z | NONE | null | I need help!!
When I use this code :
debut = df_idmatch.date.min().replace(tzinfo=None)
fin = df_idmatch.date.max().replace(tzinfo=None)
print(debut, fin)
dates=pd.date_range(start=debut,end=fin,freq='W')
date_index=dates.year.astype(str)+"-"+dates.weekofyear.astype(str).str.zfill(2)
date_index.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42639/events | https://github.com/pandas-dev/pandas/issues/42639 | 949,167,930 | MDU6SXNzdWU5NDkxNjc5MzA= | 42,639 | BUG: v1.3.0 to_datetime caching behavior changed compared to v1.2.5 | {
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] | closed | false | null | [] | null | 2 | 2021-07-20T22:44:35Z | 2021-07-22T12:28:40Z | 2021-07-22T12:28:22Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- [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
# 51 rows results in mis... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42640/events | https://github.com/pandas-dev/pandas/pull/42640 | 949,174,108 | MDExOlB1bGxSZXF1ZXN0NjkzOTIwMTY3 | 42,640 | BUG: Fix bug in SeriesGroupBy.value_counts when DataFrame has one row (#42618) | {
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- [x] tests added / passed
- [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
- [x] whatsnew entry
Was introduced in v1.3.0 [here](https://github.com/pandas-dev/pandas/pull/39326). I could... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42642 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42642/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42642/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42642/events | https://github.com/pandas-dev/pandas/issues/42642 | 949,290,164 | MDU6SXNzdWU5NDkyOTAxNjQ= | 42,642 | BUG: pandas 1.3.0 short series of type pandas.Int32DType() fails to calculate 0.75 quantile | {
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] | closed | false | null | [] | null | 2 | 2021-07-21T03:38:23Z | 2021-07-22T12:02:48Z | 2021-07-22T12:02:35Z | NONE | null | numpy uint32 is fine, but pd.Uint32Dtype() is not, on the same series:
```
>>> df = pd.DataFrame([{'x': 60}, {'x': 70}, {'x': 1514}, {'x': 1514}, {'x': 1514}, {'x': 1019}, {'x': 60}, {'x': 77}, {'x': 60}, {'x': 60}, {'x': 60}], dtype=np.uint32)
>>> df['x'].quantile(0.75)
1266.5
```
Now Pandas:
```
>>> df ... | {
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- [x] tests added / passed
- [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] closes #42530
- [x] tests added / passed
- [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
- [x] whatsnew entry
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I would like to be able to query a table immediately after creating it using `df.to_sql()`, in the SQLAlchemy interface.
#### Describe the solution you'd like
Currently `to_sql()` has no return value. I suggest simply returning the new table object, which is of... | {
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- [x] tests added / passed
- [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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https://api.github.com/repos/pandas-dev/pandas/issues/42650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42650/events | https://github.com/pandas-dev/pandas/pull/42650 | 949,975,586 | MDExOlB1bGxSZXF1ZXN0Njk0NTkyMDUw | 42,650 | BUG: EWM silently failed float32 | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/42651 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42651/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42651/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42651/events | https://github.com/pandas-dev/pandas/issues/42651 | 949,977,830 | MDU6SXNzdWU5NDk5Nzc4MzA= | 42,651 | BUG: pd.concat breaks pickle on non-unique multiindex | {
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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 pickle
import ... | {
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to_excel could be faster
#### Describe the solution you'd like
openpyxl's write only workbook is very fast and should be used
https://openpyxl.readthedocs.io/en/stable/optimized.html
```python
# Your code here, if applicable
def to_excel_fast(df,name):
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
In rolling aggregation, `min_periods` dictates that i... | {
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release note is moved in backport #42660, so this PR does not need backport. | {
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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I wish I could use pandas.read_csv() to include the original line number of csv file. It can be useful for error report in case of invalid entry (invalid from an application point of view not from csv's one). Given that users can skip few starting lines, blank lin... | {
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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
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- [x] tests added / passed
- [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
- [x] whatsnew entry
added test to pandas/tests/indexing/multi/test_loc.py | {
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- [ ] closes #xxxx
- [ ] tests added / passed
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Precursor for pyarrow csv reader integration.
@jorisvandenbossche Do you know if there ... | {
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Fix the next doctest error:
```
___________________________________________________________________ [doctest] pandas.io.stata.read_stata ____________________________________________________________________
2044 Categorical variables read through an iterator may not have the same
2045 categories and dty... | {
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Fix the next doctest error:
```
_________________________________________________________ [doctest] pandas.io.formats.format.EngFormatter.__call__ __________________________________________________________
1956
1957 Formats a number in engineering notation, appending a letter
1958 rep... | {
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Fix the next doctest error:
```
_____________________________________________________________ [doctest] pandas.io.formats.style.Styler.to_latex _____________________________________________________________
530 should be replaced by a LaTeX
531 ``(<command>, <options>)`` approach. Each c... | {
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"gi... | null | 5 | 2021-07-22T20:43:02Z | 2021-07-26T22:39:09Z | 2021-07-26T22:39:09Z | MEMBER | null | # tl;dr
Fix the next doctest error:
```
_____________________________________________________ [doctest] pandas.io.formats.style_render._parse_latex_header_span _____________________________________________________
1329 ``wrap`` is used to enclose the `display_value` in braces which is needed for
1330 c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42674 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42674/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42674/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42674/events | https://github.com/pandas-dev/pandas/issues/42674 | 951,040,271 | MDU6SXNzdWU5NTEwNDAyNzE= | 42,674 | TST: Fix doctest in _parse_latex_table_styles | {
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Fix the next doctest error:
```
____________________________________________________ [doctest] pandas.io.formats.style_render._parse_latex_table_styles _____________________________________________________
1249
1250 Return the first 'props' 'value' from ``tables_styles`` identified by ``selector``... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42675 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42675/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42675/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42675/events | https://github.com/pandas-dev/pandas/pull/42675 | 951,040,702 | MDExOlB1bGxSZXF1ZXN0Njk1NDkxMzAy | 42,675 | Bug in concat creating invalid MultiIndex | {
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- [x] tests added / passed
- [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
- [x] whatsnew entry
I am checking the levels here to make it clear, what caused the issue previously. | {
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```
> conda install pandas
The following packages will be downloaded:
package ... | {
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```
import pandas as pd
pd.__version__
ld = ['2021-09-24T00:00:00Z',
'2021-09-24T00:00:00Z',
'2021-09-24T00:00:00Z',
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[pandas-bug.zip](https://github.com/pandas-dev/pandas/files/6866965/pandas-bug.zip)
KeyError: 'x'
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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.
---
**Note** This issue is very similar to [Issue #8902](https://github.com/pandas-dev/pandas/is... | {
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Very often we merge very data sets(100Gb) with 'left'/'right'/'outer' which introduces NAs.
Basically, if we have integer field, we have two options:
1. Allow pandas autoconvert it to float which could be nan (default behaviour)
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- [x] tests added / passed
- [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
- [x] whatsnew entry
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#### Code Sample
```python
s = pd.Series([None, np.nan, 'Y'])
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I messed up my acces token and accidentially pushed to master. Not sure how this could happen :(
If someone has a better idea than simply reverting we can close this
cc @pandas-dev/pandas-core
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"followers_url": "https://api.github.co... | 3 | 2021-07-23T20:27:39Z | 2021-07-24T09:38:28Z | 2021-07-23T23:14:49Z | MEMBER | null | - [x] xref #34488
- [x] closes https://github.com/pandas-dev/pandas/issues/29130
- [x] tests added / passed
- [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
- [x] whatsnew entry
This time correctly. This s... | {
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https://pandas.pydata.org/docs/dev/reference/series.html
https://pandas.pydata.org/docs/dev/reference/api/pandas.Series.empty.html
#### Documentation problem
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reverting to get ci to green quickly. @jbrockmendel can you re-open original PR | {
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- [X] closes #42673
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- [x] tests added / passed
- [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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- [ ] 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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Re-implement #42631 without the bug-causing caching of Block.values | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
``` python
import pandas as pd
# Create mock dataframe
df = pd.DataFrame({
'a': [1, 2, 3, 4]
})
m = df['a'].eq... | {
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from asv_bench.benchmarks.reshape import *
self = ReshapeExtensionDtype()
self.setup("Period[s]")
%timeit self.time_unstack_fast("Period[s]")
23.2 ms ± 1.15 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) # <- master
9.37 ms ± 128 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) # <- PR
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Docs etc. for the newly added NumericIndex (#41153) + adding NumericIndex to the public namespace. | {
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https://github.com/pandas-dev/pandas/milestone/88
List of open regressions: https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+label%3ARegression
performance regressions between 1.2.5 and 1.3.x https://simonjayhawkin... | {
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As discussed a few days ago
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Passing:
https://github.com/pandas-dev/pandas/runs/3155104841
Failing:
https://github.com/pandas-dev/pandas/pull/42713/checks?check_run_id=3155841275 | {
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#41153 adds an internal attribute `_is_backward_compat_public_numeric_index` to the `Index` class (and its numeric child classes). This is on... | {
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- [x] tests added / passed
- [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
- [x] whatsnew entry
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42720/events | https://github.com/pandas-dev/pandas/pull/42720 | 952,505,965 | MDExOlB1bGxSZXF1ZXN0Njk2Njg4OTk1 | 42,720 | CLN: clean the conda-to-pip script | {
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