RFCT py3k compliant

Author: wrichert

ch01/analyze_webstats.py

@@ -6,10 +6,10 @@
 # It is made available under the MIT License
 
 import os
+from utils import DATA_DIR, CHART_DIR
 import scipy as sp
 import matplotlib.pyplot as plt
 
-from utils import DATA_DIR, CHART_DIR
 
 data = sp.genfromtxt(os.path.join(DATA_DIR, "web_traffic.tsv"), delimiter="\t")
 print(data[:10])
@@ -118,7 +118,8 @@ def error(f, x, y):
     print("Error d=%i: %f" % (f.order, error(f, xb, yb)))
 
 plot_models(
-    x, y, [fb1, fb2, fb3, fb10, fb100], os.path.join(CHART_DIR, "1400_01_07.png"),
+    x, y, [fb1, fb2, fb3, fb10, fb100], os.path.join(
+        CHART_DIR, "1400_01_07.png"),
     mx=sp.linspace(0 * 7 * 24, 6 * 7 * 24, 100),
     ymax=10000, xmin=0 * 7 * 24)
 

ch01/gen_webstats.py

@@ -28,8 +28,8 @@
 plt.title("Web traffic over the last month")
 plt.xlabel("Time")
 plt.ylabel("Hits/hour")
-plt.xticks([w * 7 * 24 for w in [0, 1, 2, 3, 4]], ['week %i' % (w + 1) for w in [
-           0, 1, 2, 3, 4]])
+plt.xticks([w * 7 * 24 for w in [0, 1, 2, 3, 4]], ['week %i' % (w + 1) for w in
+                                                   [0, 1, 2, 3, 4]])
 
 plt.autoscale(tight=True)
 plt.grid()

ch01/performance_test.py

@@ -8,7 +8,7 @@
 
 import timeit
 
-normal_py_sec = timeit.timeit('sum(x*x for x in xrange(1000))',
+normal_py_sec = timeit.timeit('sum(x*x for x in range(1000))',
                               number=10000)
 naive_np_sec = timeit.timeit('sum(na*na)',
                              setup="import numpy as np; na=np.arange(1000)",