Read from parquet does not work

Parquet file is existing and can be read with https://parquet-viewer-online.com

Execution of DSL script results in printing a frame with all (10) values nan

// read_from_parquet.daph
group_data = readFrame("/path/to/data.parquet");

print(group_data);

OUTPUT:

Frame(5x2, [Id:double, Vds:double])
nan nan
nan nan
nan nan
nan nan
nan nan

// /path/to/data.parquet.meta
{
  "numRows": 5,
  "numCols": 2,
  "schema": [
    {
      "label": "Id",
      "valueType": "f64"
    },
    {
      "label": "Vds",
      "valueType": "f64"
    }
  ]
}

This is how I created the parquet file:

import pyarrow.parquet as pq
from pathlib import Path
import pyarrow.csv as csv

def main(path: str):

    p = Path(path)
    ro = csv.ReadOptions(column_names = ["Id", "Vds"])
    table = csv.read_csv(p, read_options=ro)    

    print("Arrow table from csv ----------------------------------------------------------------------------")
    print(f"Num cols in table: {table.num_columns}")
    print(f"Num rows in table: {table.num_rows}")
    print(table)
    print("Writing arrow table -----------------------------------------------------------------------------")
    destpth = p.with_suffix(".parquet")
    print(f"writing to {destpth.resolve()}")
    pq.write_table(table, destpth, use_dictionary=False)
    print("Reading back again from parquet file-------------------------------------------------------------")
    rtable=pq.read_table(p.with_suffix(".parquet"))
    print(rtable)
    print("pandas repr.:")
    print(rtable.to_pandas())

from a csv file which looks like this:

0.1184805,4.2727
0.026556,4.2356
-0.0653686,4.248
-0.0347271,4.248
-0.0040855,4.6257

Sample parquet files can be acquired here (data is much more complex here): https://github.com/kaysush/sample-parquet-files/tree/main