Using pandas.pct_change() on dataset results in 'nan' loss in tensorflow model

Question

Let\'s say I have a dataframe like so:

df = pd.DataFrame({\'Inputs\': np.arange(100), \'Labels\': np.multiply(np.arange(100),5)})
df.head()