WMT_LSTM_10.py

x = [dt.datetime.date(d) for d in df.index]
fig = plt.figure(figsize=(10,5))
plt.title('Walmart Quarterly Earnings')
plt.ylabel('Earnings (Billions)')
plt.grid(True)
plt.plot(x[:-len(predictions)],
         df.Earnings[:-len(predictions)],
         "b-")
plt.plot(x[-len(predictions):],
         df.Earnings[-len(predictions):],
         "b--",
         label='True Values')
plt.plot(x[-len(predictions):],
         predictions,
         "r-",
         label='Predicted Values')
plt.legend()