import pandas as pd
import numpy as np

filename = "48yrs/cores.dat"
df = pd.read_csv(filename, header = None, sep = "\s+")
df.columns = ["year", "cores"]
df = df.dropna()
df['year'] = df.year.astype(float)

cores_missing = df['cores'].isna()
print(df.loc[cores_missing,:])

print(df['year'].isna().sum())
print(df['cores'].isna().sum())

print(df)
print("-------------")
print(df.dtypes)
print("-------------")
print(df.shape)
print("-------------")
print(df.info())