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https://api.github.com/repos/pandas-dev/pandas/issues/42120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42120/events | https://github.com/pandas-dev/pandas/issues/42120 | 925,393,429 | MDU6SXNzdWU5MjUzOTM0Mjk= | 42,120 | DOC share docs between Series.swaplevel and DataFrame.swaplevel | {
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```
### LINTING ###
if [[ -z "$CHECK" || "$CHECK" == "lint" ]]; then
# Check that cython casting is of the form `<type>obj` as opposed to `<type> obj`;
# it doesn't make a difference, but we want to be internally consistent.
# Note: th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42122/events | https://github.com/pandas-dev/pandas/issues/42122 | 925,394,823 | MDU6SXNzdWU5MjUzOTQ4MjM= | 42,122 | STYLE move blocklisted imports check to pre-commit | {
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"default... | closed | false | null | [] | null | 1 | 2021-06-19T13:30:08Z | 2021-06-19T15:34:22Z | 2021-06-19T15:34:22Z | MEMBER | null | here's the check from `ci/code_checks.sh` which needs moving;
```
MSG='Check import. No warnings, and blocklist some optional dependencies' ; echo $MSG
python -W error -c "
import sys
import pandas
blocklist = {'bs4', 'gcsfs', 'html5lib', 'http', 'ipython', 'jinja2', 'hypothesis',
'lxml', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42123/events | https://github.com/pandas-dev/pandas/issues/42123 | 925,395,593 | MDU6SXNzdWU5MjUzOTU1OTM= | 42,123 | STYLE move patterns checks to pre-commit | {
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```
### PATTERNS ###
if [[ -z "$CHECK" || "$CHECK" == "patterns" ]]; then
# Check for the following code in the extension array base tests: `tm.assert_frame_equal` and `tm.assert_series_equal`
MSG='Check for invalid EA testing' ; echo $... | {
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No examples! Can we add at least one? | {
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Align has no examples - can one be added? | {
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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**: 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/42133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42133/events | https://github.com/pandas-dev/pandas/issues/42133 | 925,435,001 | MDU6SXNzdWU5MjU0MzUwMDE= | 42,133 | DOC: .style.set_table_styles example produces error | {
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https://pandas.pydata.org/docs/user_guide/style.html
#### Documentation problem
The docs include sample code to demonstrate how a .style.set_table_styles method can be chained using the overwrite=False arg.
```
html = html.set_table_styles({
'B': [dict(selector='', ... | {
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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
`pandas/tests/arrays/sparse/test_dtype.py test_hash_equal` fails on Python3.10 (see #41940). This is due to the fact, that since Py... | {
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... | 1 | 2021-06-20T02:01:45Z | 2021-08-21T02:41:35Z | null | MEMBER | null | From https://github.com/pandas-dev/pandas/pull/41970#discussion_r654770580, right now constructing nullable integer (and floating) arrays from boolean data has the following behavior:
```
In [2]: pd.Series([True, False, True, True], dtype='Int64')
Out[2]:
0 1
1 0
2 1
3 1
dtype: Int64
In [3]: 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
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/42139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42139/events | https://github.com/pandas-dev/pandas/issues/42139 | 925,515,923 | MDU6SXNzdWU5MjU1MTU5MjM= | 42,139 | BUG: Pandas does not recognize NaN values on M1 macbook pro | {
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- [Y] I have confirmed this bug exists on the latest version of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42140/events | https://github.com/pandas-dev/pandas/pull/42140 | 925,535,876 | MDExOlB1bGxSZXF1ZXN0NjczOTg2MTU2 | 42,140 | DEPR: `Styler.render` in favour of `Styler.to_html` | {
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Additionally this PR has added a test to a new file `pandas/tests/io/formats/style/test_deprecated.py`, and it has moved some of the... | {
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>
> Following the recommended settings for Python’s configparser, Flake8 does not support inline comments for any of the keys. So while this is fine:
>
> [flake8]
> per-file-ignores =
> # imported but unused
> __init__.py: F401
>
> this is not:
>
> [flake8]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42142/events | https://github.com/pandas-dev/pandas/pull/42142 | 925,540,938 | MDExOlB1bGxSZXF1ZXN0NjczOTkwMDY0 | 42,142 | STYLE fixup cython linting | {
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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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- [ ] tests added / passed
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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/... | {
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Hi @MarcoGorelli, how does this look?
Let me know if this needs any changes.
Thanks | {
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... | null | 2 | 2021-06-20T16:13:59Z | 2021-06-21T18:35:51Z | null | MEMBER | null | Looking at the fillna code, it looks like a mask is generated and then the fill value is then put in using putmask. Wouldn't it be faster if we skipped the mask generation and just put in nan values directly by looping over in Cython.
https://github.com/pandas-dev/pandas/blob/98e22297bb66f81ff4c1d4f1c3277cfe8c6b9ce7/p... | {
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- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] tests added / passed
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## Base PullRequest
default branch (https://github.com/pandas-dev/pandas/tree/master)
## Command results
<details>
<summary>Details: </summary>
<details>
<summary><em>add path</em></summary>
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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.
---
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Orthogonal to #42168
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AFAICT the data size is only so large to test the warning given by the c parser and low memory case, so shrank size for other cases. | {
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Would be nice to share this with handling in https://github.com/... | {
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I wish to take the AND, OR, XOR, and NOT of dataframes. Of course I could do this manually but an inbuilt way would be far cleaner and elegant.
#### Possible Solution
Example 1:
A = {'a': 1 2 3}
B = {'a': 1 3 4}
pandas.xor(A,B, on = "a")
{'a': 2 4}
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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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- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
`pandas.cut` fails for a `pandas.Series` with non-unique index as input.
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The current mechanics are unstructured and the tests is not future proof (if new attributes are added tests will not pick these up and fail). This PR generalises the construction and future proofs the tests. No user facing cahnge.
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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
df1... | {
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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
```python
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- [ ] tests not added. Will update this PR with the tests.
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I'm asking since having this be unified would greatly simplify my work ... | {
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Ref: https://github.com/pandas-dev/pandas/pull/39941#issuecomment-829604511 and the conversation preceding it. While I don't find @MarcoGorelli's suggestion as i... | {
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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] 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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Still need to run ASVs to measure performance, making sure CI passes first.
Edit: ASV results for 7b86fdb
```
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Testing mypy fails with numpy 1.21.0, then will confirm mypy passes with < 1.21 | {
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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
Partially address perf hit discussed in #41929
```
import numpy as np
from pandas imp... | {
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```
In [3]: ser = pd.Series([True, True], dtype="boolean")
In [4]: ser.combine(2, lambda x... | {
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Probably not a bug in pandas per se, but it might be useful to be aware of this:
I noticed that the `python-dateutil` dependency on this github dependency graph page https://github.com/pandas-dev/pandas/network/dependencies points to https://git... | {
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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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- [ ] Remove from calendar | {
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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/... | {
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e.g. in tail docstring
```
For negative values of `n`, this function returns all rows except
the first `n` rows, equivalent to ``df[n:]``.
```
should read something like
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I would like to use `pd.cut` to sort values into bins that are half-open with the lower boundary being the closed end of the interval (i.e. [0, 5), so setting `right=False`) but still be able to include the upper bound of the last interval (i.e. have the last interv... | {
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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 - *I cannot find the linked page*
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The `engine_kwargs` argument was not passed properly an... | {
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- [X] As test, ran scripts/validate_docstring.py with outputs
Docstring for "pandas.core.generic.NDFrame.head" correct. :)
Docstring for "pandas.core.generic.NDFrame.tail" correct. :)
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