test_parse.py

import pandas as pd
import xarray as xr
from pathlib import Path

file_path = Path("data/bayesian/l63_hm.nc")
with xr.open_dataset(file_path) as dataset:
    metric = dataset["metric"]
    metric = metric.where(metric != -1)
    metric_mean = metric.mean(dim="random_seed", skipna=True)
    df = metric_mean.to_dataframe(name="metric").reset_index()
    print(df.head())
    
file_path_abc = Path("data/bayesian/l63_abc.nc")
with xr.open_dataset(file_path_abc) as dataset:
    metric = dataset["metric"]
    metric = metric.where(metric != -1)
    metric_mean = metric.mean(dim="random_seed", skipna=True)
    df = metric_mean.to_dataframe(name="metric").reset_index()
    print(df.head())