import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline

# end date
end_date = dt.datetime(2018, 1, 1)
# start date
start_date = end_date -  timedelta(days = 19)
dates = pd.date_range(start_date, end_date)

# Create Dataframe with random Int
age = pd.DataFrame(np.random.randint(1,100,size=(20, 1)), columns=list('A'), index = dates)
salary = np.log2(age['A'])
salary =  pd.DataFrame(salary, index = dates)

df = pd.concat([salary['A'], age['A']], keys=['Salary', 'Age'], axis=1)
ax = df.plot(title='Age and Salary', fontsize=12, color=['green', 'red'])
ax.legend(loc='upper right')
plt.show()