BUG: also use Float Nullable dtypes in read_parquet when use_nullable_dtypes=True
fixes #45694 
Add float types in the mapping dictionary



Thanks for the PR! Please add tests, whatsnew line, and link this PR to the original issue. **Before Fix** :  float64 is returned instead of Float64 #45700 
```
>>> import pandas as pd
>>> df = pd.DataFrame({'a':[1, 2, 3], 'b':[1.0, 2.0, 3]})
>>> df['c'] = pd.Series([1, 2, 3], dtype='uint8')
>>> df.to_parquet('a')
>>> pd.read_parquet('a').dtypes
a      int64
b    float64
c      uint8
dtype: object
>>> pd.read_parquet('a', use_nullable_dtypes=True).dtypes
a      Int64
b    float64
c      UInt8
dtype: object
```


**After Fix :**  Float64 is returned instead of float64 and bug is fixed
```
>>> import pandas as pd 

>>> df = pd.DataFrame({'a':[1, 2, 3], 'b':[1.0, 2.0, 3]})

>>> df['c'] = pd.Series([1, 2, 3], dtype='uint8')

>>> pd.read_parquet('a').dtypes
a      int64
b    float64
c      uint8
dtype: object

>>> df.to_parquet('a')

>>> pd.read_parquet('a', use_nullable_dtypes=True).dtypes
a      Int64
b    Float64
c      UInt8
dtype: object
``` @Jaafarben2 - the tests need to be added to `pandas.tests`, see [the dev docs](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#test-driven-development-code-writing) for more details. Thanks for the PR!

To be explicit for the required test, there is an existing test for this functionality at

https://github.com/pandas-dev/pandas/blob/5c757e9c4cf6a74fabfa1983dcd72b4759a88e5f/pandas/tests/io/test_parquet.py#L603-L645

This tests the roundtrip of a dataframe with some columns that have a nullable dtype variant in pandas. I think it should be sufficient to add two extra columns to the test dataframe (float32 and float64) in that existing test. This pull request is stale because it has been open for thirty days with no activity. Please [update](https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#updating-your-pull-request) and respond to this comment if you're still interested in working on this.