import pandas as pd
import numpy as np

def print_data(df):
    # print("=========================================")
    print(df)
    # print("-----------------------------------------")
    # print(df.dtypes)
    # print("-----------------------------------------")
    # print(df.shape)
    # print("-----------------------------------------")
    # print(df.info())

def load_data(filename, columns):
    df = pd.read_csv(filename, header = None, sep = "\s+", comment ='#')
    df.columns = columns
    df = df.dropna()
    df[columns[0]] = df.year.astype(float)
    print_data(df)
    return df

df_cores       = load_data("48yrs/cores.dat",       ["year", "cores"])
df_frequency   = load_data("48yrs/frequency.dat",   ["year", "frequency"])
df_specint     = load_data("48yrs/specint.dat",     ["year", "specint"])
df_transistors = load_data("48yrs/transistors.dat", ["year", "transistors"])
df_watts       = load_data("48yrs/watts.dat",       ["year", "watts"])