Revision: 7380
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7380&view=rev
Author: jdh2358
Date: 2009-08-05 15:59:24 +0000 (Wed, 05 Aug 2009)
Log Message:
-----------
port more examples over to sample data
Modified Paths:
--------------
trunk/matplotlib/examples/api/date_index_formatter.py
trunk/matplotlib/examples/misc/rec_groupby_demo.py
trunk/matplotlib/examples/misc/rec_join_demo.py
Modified: trunk/matplotlib/examples/api/date_index_formatter.py
===================================================================
--- trunk/matplotlib/examples/api/date_index_formatter.py 2009-08-05
15:57:31 UTC (rev 7379)
+++ trunk/matplotlib/examples/api/date_index_formatter.py 2009-08-05
15:59:24 UTC (rev 7380)
@@ -9,7 +9,7 @@
import matplotlib.cbook as cbook
import matplotlib.ticker as ticker
-datafile = cbook.get_sample_data('aapl.csv', asobj=False)
+datafile = cbook.get_sample_data('aapl.csv', asfileobj=False)
print 'loading', datafile
r = mlab.csv2rec(datafile)
Modified: trunk/matplotlib/examples/misc/rec_groupby_demo.py
===================================================================
--- trunk/matplotlib/examples/misc/rec_groupby_demo.py 2009-08-05 15:57:31 UTC
(rev 7379)
+++ trunk/matplotlib/examples/misc/rec_groupby_demo.py 2009-08-05 15:59:24 UTC
(rev 7380)
@@ -2,11 +2,9 @@
import matplotlib.mlab as mlab
import matplotlib.cbook as cbook
-datafile = cbook.get_sample_data('aapl.csv', asobj=False)
+datafile = cbook.get_sample_data('aapl.csv', asfileobj=False)
print 'loading', datafile
r = mlab.csv2rec(datafile)
-
-r = mlab.csv2rec('../data/aapl.csv')
r.sort()
def daily_return(prices):
Modified: trunk/matplotlib/examples/misc/rec_join_demo.py
===================================================================
--- trunk/matplotlib/examples/misc/rec_join_demo.py 2009-08-05 15:57:31 UTC
(rev 7379)
+++ trunk/matplotlib/examples/misc/rec_join_demo.py 2009-08-05 15:59:24 UTC
(rev 7380)
@@ -2,7 +2,7 @@
import matplotlib.mlab as mlab
import matplotlib.cbook as cbook
-datafile = cbook.get_sample_data('aapl.csv', asobj=False)
+datafile = cbook.get_sample_data('aapl.csv', asfileobj=False)
print 'loading', datafile
r = mlab.csv2rec(datafile)
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