Kenta Murata comments

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                                            Kenta Murata

New plots

For statistical data analysis, I often use boxplot and violinplot, and scatter plot matrix layout. There are examples of them in seaborn's gallery: - [Grouped boxplot](https://seaborn.pydata.org/examples/grouped_boxplot.html) - [Grouped violinplot](https://seaborn.pydata.org/examples/grouped_violinplots.html) -...

Support Spot Instances

I want this feature :+1:

ENH: generalize `init` on a `dict` to `abc.collections.Mapping` and `getitem` on a `list` to `abc.collections.Sequence`

@jbrockmendel I checked the performance degradation by accepting `Mapping`. The asv benchmark said `BENCHMARKS NOT SIGNIFICANTLY CHANGED`. See https://github.com/mrkn/pandas/pull/1 for more details and the patch I applied. Note that I...

ENH: generalize `init` on a `dict` to `abc.collections.Mapping` and `getitem` on a `list` to `abc.collections.Sequence`

I made a pull-request to propose introduce Mapping support in DataFrame construction https://github.com/pandas-dev/pandas/pull/58814.

ENH: generalize `init` on a `dict` to `abc.collections.Mapping` and `getitem` on a `list` to `abc.collections.Sequence`

@MilesCranmer Regarding `__getitem__`, the error in this method is not due to checking for `list`. The real cause is that `juliacall.VectorValue` is callable. The traceback indicating that the error occurred...

ENH: generalize `init` on a `dict` to `abc.collections.Mapping` and `getitem` on a `list` to `abc.collections.Sequence`

I guess the following change, skipping the call to the object if an error occurs, could be acceptable for improving pandas's interoperability with other libraries. ```diff diff --git a/pandas/core/common.py b/pandas/core/common.py...

Add julia_package option support

@Drvi What do you think about this feature?

Added support for generation of mutable structs

@Ochibobo I love this feature. In addition, what do you think about adding a new boolean option called `julia_mutalbe_struct` to specify this flag in the option directive, as shown below?...

Add a candidate with LIBSUFFIX

@alezummo Oh, I’m sorry for missing this important contribution! I’ll check and merge this if there is no problem.

Pandas compatibility

As you can see in [the document](https://juliapy.github.io/PythonCall.jl/stable/conversion-to-python/#jl2py-conversion), `AbstractArray` and `AbstractDict` are implicitly converted to wrapper objects on the Python call. In the first case, you should use `pydict` function to...