devmcp

Results 8 issues of devmcp

Pandas datatypes, such as `pd.Int64Dtype` (see [here](https://pandas.pydata.org/docs/user_guide/basics.html#dtypes)), do not seem to be supported: ```python import recordlinkage from recordlinkage.datasets import load_febrl4 dfA, dfB = load_febrl4() # Convert column types to pandas...

**Describe your context** ``` dash 1.9.1 dash-bootstrap-components 0.8.3 dash-core-components 1.8.1 dash-daq 0.4.0 dash-html-components 1.0.2 dash-renderer 1.2.4 dash-table 4.6.1 ``` - OS: MacOS 10.15.3 - Browser: Safari - Version 13.0.5 **Describe...

- **Poetry version**: 1.7.1 - **Python version**: 3.11 - **OS version and name**: Windows 11 - [ x] I am on the [latest](https://github.com/python-poetry/poetry/releases/latest) stable Poetry version, installed using a [recommended...

kind/feature
status/triage

**Describe the bug** In [`unique_values_eq`](https://github.com/unionai-oss/pandera/blob/e99737fadb7ff0609b0d6ab626f67bf351036eb8/pandera/api/checks.py#L528) the docstring says that `values` is an iterable, but the argument has the typehint `str`. There is also a typo in the [docstring ](https://github.com/unionai-oss/pandera/blob/e99737fadb7ff0609b0d6ab626f67bf351036eb8/pandera/api/checks.py#L535) -...

bug

Plotly express functions fall over when given dataframes containing `pd.NA` values. I think these should have the same behaviour as `None` values. Example: ``` # This works px.scatter(pd.DataFrame([1, 2, 3,...

bug
sev-3

As of [ruff v0.1.2](https://github.com/astral-sh/ruff/releases/tag/v0.1.2) it supports formatting as well as linting. It would be great to support this natively. There is a walkthrough [here](https://gist.github.com/jbwhit/eecdd1cac2756df85ad165f437445b0b) with a workaround, but I couldn't...

### Feature Type - [x] Adding new functionality to pandas - [ ] Changing existing functionality in pandas - [ ] Removing existing functionality in pandas ### Problem Description I...

Enhancement
Missing-data
Categorical

It seems like it's not possible to assign private variables as booleans. E.g. in cookiecutter.json if I have: ``` { "my_var": true, "__my_var_private": "{{ cookiecutter.my_var }}", } ``` Then `__my_var_private`...