`Array` columns not supported by `extend()`

[guyrosin]

`Array` columns not supported by `extend()`

[guyrosin]

Right, it seems to work fine now :)

[leoforney]

I was unable to recreate this issue on my machine given the code you've provided. This is the output from my attempt:

>>> import polars as pl
>>> schema = {"foo": pl.Array(pl.Int32, 2)}  # this does not
>>> lists = [[1, 1], [2, 2]]
taFrame({"fo>>> df1 = pl.DataFrame({"foo": lists}, schema=schema)
foo": lists}, schema=schema)
df1.extend(df2)>>> df2 = pl.DataFrame({"foo": lists}, schema=schema)
>>> df1.extend(df2)
shape: (4, 1)
┌───────────────┐
│ foo           │
│ ---           │
│ array[i32, 2] │
╞═══════════════╡
│ [1, 1]        │
│ [2, 2]        │
│ [1, 1]        │
│ [2, 2]        │
└───────────────┘
>>> exit();

Here's my versions:

--------Version info---------
Polars:               0.20.19
Index type:           UInt32
Platform:             Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.35
Python:               3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          <not installed>
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               2023.6.0
gevent:               <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         <not installed>
numpy:                1.25.0
openpyxl:             <not installed>
pandas:               2.0.1
pyarrow:              12.0.1
pydantic:             1.10.10
pyiceberg:            <not installed>
pyxlsb:               <not installed>
sqlalchemy:           <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>