e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
27 lines
663 B
Python
Executable file
27 lines
663 B
Python
Executable file
import numpy as np
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import matplotlib.mlab as mlab
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r = mlab.csv2rec('../data/aapl.csv')
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r.sort()
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r1 = r[-10:]
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# Create a new array
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r2 = np.empty(12, dtype=[('date', '|O4'), ('high', np.float),
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('marker', np.float)])
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r2 = r2.view(np.recarray)
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r2.date = r.date[-17:-5]
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r2.high = r.high[-17:-5]
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r2.marker = np.arange(12)
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print "r1:"
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print mlab.rec2txt(r1)
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print "r2:"
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print mlab.rec2txt(r2)
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defaults = {'marker':-1, 'close':np.NaN, 'low':-4444.}
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for s in ('inner', 'outer', 'leftouter'):
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rec = mlab.rec_join(['date', 'high'], r1, r2,
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jointype=s, defaults=defaults)
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print "\n%sjoin :\n%s" % (s, mlab.rec2txt(rec))
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