# Below are quick example
# Using DataFrame.mean() method to get column average
df2 = df["Fee"].mean()
# Using DataFrame.mean() to get entire column mean
df2 = df.mean()
# Using multiple columns mean using DataFrame.mean()
df2 = df[["Fee","Discount"]].mean()
# Average of each column using DataFrame.mean()
df2 = df.mean(axis=0)
# Find the mean including NaN values using DataFrame.mean()
df2 = df.mean(axis = 0, skipna = False)
# Using DataFrame.describe() method
df2 = df.describe()