ec_datetime_arange_condensed.py

# Modified from Coursera.org

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

linear_data = np.array([1,2,3,4,5,6,7,8])
exponential_data = linear_data**2

plt.figure()

observation_dates4 = list(map(pd.to_datetime, np.arange('2017-03-01', '2017-03-09', dtype='datetime64[D]')))

plt.plot(observation_dates4, linear_data, '-o',  observation_dates4, exponential_data, '-o')