import numpy as np
import pandas as pd

def read_csv_file(file_csv):
    df_csv = pd.read_csv(file_csv)
    return df_csv

def get_dict_nan_counts_per_col(data_frame):
    dict_nan_counts_per_col = data_frame.isna().sum().to_dict()
    dict_nan_counts_per_col = dict(sorted(dict_nan_counts_per_col.items(), key=lambda kv: kv[1], reverse=True))
    return dict_nan_counts_per_col

def get_data_from_data_frame(data_frame):
    arr = data_frame.to_numpy()
    X_arr, Y_arr = arr[:, :-1], arr[:, -1:].reshape(-1)
    return X_arr, Y_arr