python - 10 minute timestamp interval visualization for patterns using pandas for forecasting? -

i have data file 1 column full of time stamps , have aggregated times in 10 minute time intervals, trying visualize them find underlying patterns of demand. have looked @ histogram of information...and heat map did not return results. information 1 column full of timestamps this: 2017-08-28 14:37:00 have 100,000 rows , trying use pandas forecasting, dont know if should use linear regression or kalman filter far visualization plt.figure() df["time"].apply(lambda x: x.hour).plot.hist(bins=24) trying more granular on 10 minute interval time , @ patterns , implement forecasting technique