[Numpy-discussion] fromrecords yields "ValueError: invalid itemsize in generic type tuple"

Rajat Banerjee rbanerj@fas.harvard....
Mon Dec 6 21:20:35 CST 2010


Hi All,
I have been using Numpy for a while with great success. I left my
little project for a little while
(http://web.mit.edu/stardev/cluster/) and now some of my code is
broken.

I have some Numpy code to create graphs of activity on a cluster with
matplotlib. It ran just fine in July / August 2010, but has since
stopped working. I have updated numpy on my machine, I think.

In [2]: np.version.version
Out[2]: '1.5.1'

My call to np.rec.fromrecords() is throwing this exception:

  File "/home/rajat/Envs/StarCluster/lib/python2.6/site-packages/numpy/core/records.py",
line 607, in fromrecords
    descr = sb.dtype((record, dtype))
ValueError: invalid itemsize in generic type tuple

Here is the code with some irrelevant stuff stripped:

        for line in file:
            a = [datetime.strptime(parts[0], '%Y-%m-%d %H:%M:%S.%f'),
                 int(parts[1]), int(parts[2]), int(parts[3]), int(parts[4]),
                 int(parts[5]), int(parts[6]), float(parts[7])]
            list.append(a)
        file.close()
        names = ['dt', 'hosts', 'running_jobs', 'queued_jobs',\
                 'slots', 'avg_duration', 'avg_wait', 'avg_load']
        descriptor = {'names':
('dt,hosts,running_jobs,queued_jobs,slots,avg_duration,avg_wait,avg_load'),\
                      'formats' : ('S20','u','u','u','u','u','u','f')}
        self.records = np.rec.fromrecords(list,','.join(names)) #used to work
        #self.records = np.rec.fromrecords(list, dtype=descriptor) #new attempt

Here is one "line" from the array "list":
>>> parts (8) = ['2010-12-07 03:09:46.855712', '2', '2', '177', '2', '86', '370', '1.05'].

Neither of those np.rec.fromrecords() calls works. I've tried both
separately. They both throw the exact same exception, ValueError:
invalid itemsize in generic type tuple


Can anybody help me? Am I doing something dumb?
Thank you.
Rajat Banerjee
Masters Candidate, Computer Science, Harvard University


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