pylab to plt and np

domspad · domspad · commit 72989de9bcfe · 2015-07-13T18:14:52.000-07:00
diff --git a/examples/pylab_examples/boxplot_demo.py b/examples/pylab_examples/boxplot_demo.py
@@ -1,47 +1,42 @@
-#!/usr/bin/python
-
-#
-# Example boxplot code
-#
-
-from pylab import *
+import matplotlib.pyplot as plt
+import numpy as np
 
 # fake up some data
-spread = rand(50) * 100
-center = ones(25) * 50
-flier_high = rand(10) * 100 + 100
-flier_low = rand(10) * -100
-data = concatenate((spread, center, flier_high, flier_low), 0)
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 50
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+data = np.concatenate((spread, center, flier_high, flier_low), 0)
 
 # basic plot
-boxplot(data)
+plt.boxplot(data)
 
 # notched plot
-figure()
-boxplot(data, 1)
+plt.figure()
+plt.boxplot(data, 1)
 
 # change outlier point symbols
-figure()
-boxplot(data, 0, 'gD')
+plt.figure()
+plt.boxplot(data, 0, 'gD')
 
 # don't show outlier points
-figure()
-boxplot(data, 0, '')
+plt.figure()
+plt.boxplot(data, 0, '')
 
 # horizontal boxes
-figure()
-boxplot(data, 0, 'rs', 0)
+plt.figure()
+plt.boxplot(data, 0, 'rs', 0)
 
 # change whisker length
-figure()
-boxplot(data, 0, 'rs', 0, 0.75)
+plt.figure()
+plt.boxplot(data, 0, 'rs', 0, 0.75)
 
 # fake up some more data
-spread = rand(50) * 100
-center = ones(25) * 40
-flier_high = rand(10) * 100 + 100
-flier_low = rand(10) * -100
-d2 = concatenate((spread, center, flier_high, flier_low), 0)
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 40
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+d2 = np.concatenate((spread, center, flier_high, flier_low), 0)
 data.shape = (-1, 1)
 d2.shape = (-1, 1)
 #data = concatenate( (data, d2), 1 )
@@ -51,7 +46,7 @@
 # a 2-D array into a list of vectors internally anyway.
 data = [data, d2, d2[::2, 0]]
 # multiple box plots on one figure
-figure()
-boxplot(data)
+plt.figure()
+plt.boxplot(data)
 
-show()
+plt.show()
