X-Git-Url: https://projects.mako.cc/source/matplotlib-cdsw/blobdiff_plain/0a6b1b4db717da540e57c15eb7506d2d8f75da58..7bd9bbbbb11d7585b76e63e354c0c779d5a8c547:/003-plot-timeseries.py

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+""" 
+003-plot-timeseries.py 
+
+Plot data from the Harry Potter data-set as a time-series
+
+""" 
+
+
+import matplotlib.pyplot as plt 
+import load_hp_data as hp
+
+# We can play with styles:
+#plt.style.use('bmh')
+plt.style.use('ggplot') 
+# To see available styles, type: 
+#plt.style.available
+
+fig, ax = plt.subplots(1)
+ax.plot(hp.columns['timestamp'],  hp.columns['size'])
+ax.set_xlabel('Time')
+ax.set_ylabel('Size of the edit')
+
+plt.show()
+
+
+# Challenge: plot the relationship between edit size. Use 
+
+## Hint 1: 
+
+#delta_time1 = hp.columns['timestamp'][1] - hp.columns['timestamp'][0]
+
+## Hint 2: 
+
+# You can give `plt.plot` more arguments to control the shape/size/color 
+# of the markers used. For example, try: 
+
+# ax.plot([1,2,3], [2,4,8], '.')
+# ax.plot([1,2,3], [2,4,8], 'r.')