import pandas as pd
import numpy as np

OUT_PATH="./data/"
FILE_COUNT=5
ROW_COUNT=int(1E5)

for file_num in range(FILE_COUNT):
    rand_numbers=pd.DataFrame(np.random.rand(ROW_COUNT),columns=["Numbers"])
    rand_letters=pd.DataFrame(np.random.randint(0,4,(ROW_COUNT)),columns=["Letters"]).replace({0:"A",1:"B",2:"C",3:"D"})
    data=pd.concat((rand_letters,rand_numbers),axis=1)
    with open(OUT_PATH+f"sample_{file_num+1}.csv","w",encoding="utf-8") as F:
        data.to_csv(F,index=None)