Create a date-time scatter plot from datetime objects

datetimeScatterPlot.py

import matplotlib.pyplot as plt
from matplotlib import dates
import datetime

from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()

# TODO: Turn this bad boy into a function

# Raw data example (Format will vary)
data = ['2018-08-05 06:39:51', '2018-08-05 11:22:55', '2018-08-05 11:28:17', '2018-08-05 11:47:40', '2018-08-05 11:50:24', '2018-08-05 11:57:43', '2018-08-05 11:58:01', '2018-08-05 11:58:07', '2018-08-05 11:58:34', '2018-08-05 12:15:01']

# convert data to list of datetime objects; pay attention to format
lodt = [datetime.datetime.strptime(dt, '%Y-%m-%d %H:%M:%S') for dt in data]

# Build the plot axis from the dataset
x_axis, y_axis = zip(*[(itm.date(), itm.time()) for itm in lodt])

# Build the plot
# Add multiple plot calls for different data
plt.plot( x_axis, y_axis, 'b.', markersize=2 ) 
ax = plt.gcf().axes[0]
ax.xaxis.set_major_formatter(dates.DateFormatter('%Y-%m-%d'))
ax.set_ylim(["00:00:00", "23:59:59"])
ax.set_xlim(["2018-08-03", "2018-08-07"]) # Change to fit formatting
plt.gcf().autofmt_xdate(rotation=25) # fix axis formatting
plt.title('Date time scatter plot')
plt.ylabel('Time')
plt.xlabel('Date')
plt.show()