Commit: f2b96aabd502dccaa3318d52470959d220017cf1 - myprojects-hg-reborn (hg)

Commit MetaInfo

• Revisão: f2b96aabd502dccaa3318d52470959d220017cf1 (tree)
• Hora: 2009-06-26 22:56:18
• Autor: isella
• Commiter: isella

Mensagem de Log

I added a simple serialization example based on cpickle.

Mudança Sumário

• add: Python-codes/cpickle.py

Diff

diff -r c3c3a8f2494c -r f2b96aabd502 Python-codes/cpickle.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/Python-codes/cpickle.py	Fri Jun 26 13:56:18 2009 +0000
@@ -0,0 +1,36 @@
+#!/usr/bin/env python
+import cPickle
+import scipy as s
+inFridge = ["ketchup", "mustard", "relish"]
+print inFridge
+FILE = open("fridge.txt", 'w')
+cPickle.dump(inFridge, FILE)
+FILE.close()
+
+#Now I re-read the saved list into another format
+
+FILE2 = open("fridge.txt", 'r')
+inFridgeFile = cPickle.load(FILE2)
+FILE2.close()
+print inFridgeFile
+
+#Bottom line: via cpickle I can actually store a list into
+#a particular text file.
+
+#The same can be achieved for a numpy array
+
+z=s.arange(10)*s.sqrt(s.pi)
+
+
+FILE = open("sci_arr.txt", 'w')
+cPickle.dump(z, FILE)
+FILE.close()
+
+FILE = open("sci_arr.txt", 'r')
+z2 = cPickle.load(FILE)
+FILE.close()
+print z2
+
+
+
+print "So far so good"