Add more examples from the HP data-set.

[matplotlib-cdsw] / 004-plot-histogram.py

diff --git a/004-plot-histogram.py b/004-plot-histogram.py
new file mode 100644 (file)
index 0000000..785a068
--- /dev/null
+++ b/004-plot-histogram.py
@@ -0,0 +1,22 @@
+"""
+004-plot-histogram.py 
+
+Plot a histogram of edit sizes 
+
+"""
+
+import matplotlib.pyplot as plt 
+import load_hp_data as hp
+
+plt.style.use('ggplot')
+
+fig, ax = plt.subplots(1)
+ax.hist(hp.columns['size'], bins=1000)
+ax.set_xlabel('Size of the edit')
+ax.set_ylabel('')
+ax.set_title('Edit size distribution')
+
+# Maybe don't really need that axis to be so long:
+# ax.set_xlim([0, 200000])
+
+plt.show()