pl.Series(name, pandas_series, dtype) ignores dtype

[MarcoGorelli]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

print(pl.Series('foo', pd.Series([1,2,3]), pl.Float32))

Log output

shape: (3,)
Series: 'foo' [i64]
[
        1
        2
        3
]

Issue description

pl.Float32 was disregarded

Expected behavior

This, which is what would've happened with a NumPy array:

In [35]: pl.Series('foo', np.array([1,2,3]), pl.Float32)
Out[35]:
shape: (3,)
Series: 'foo' [f32]
[
        1.0
        2.0
        3.0
]

Installed versions

--------Version info---------
Polars:               0.20.22
Index type:           UInt32
Platform:             Linux-5.15.146.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
Python:               3.11.9 (main, Apr  6 2024, 17:59:24) [GCC 11.4.0]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          3.0.0
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               2024.3.1
gevent:               <not installed>
hvplot:               0.9.2
matplotlib:           3.8.4
nest_asyncio:         1.6.0
numpy:                1.26.4
openpyxl:             <not installed>
pandas:               2.2.2
pyarrow:              15.0.2
pydantic:             <not installed>
pyiceberg:            <not installed>
pyxlsb:               <not installed>
sqlalchemy:           <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>