I have a record array w/ dates (O4) and floats. If some of these
floats are NaN, np.save crashes (on my solaris platform but not on a
linux machine I tested on). Here is the code that produces the bug:
In [1]: pwd
Out[1]: '/home/titan/johnh/python/svn/matplotlib/matplotlib/examples/data'
In [2]: import matplotlib.mlab as mlab
In [3]: import numpy as np
In [4]: r = mlab.csv2rec('aapl.csv')
In [5]: r.dtype
Out[5]: dtype([('date', '|O4'), ('open', '<f8'), ('high', '<f8'),
('low', '<f8'), ('close', '<f8'), ('volume', '<i4'), ('adj_close',
'<f8')])
In [6]: r.close[100:] = np.nan
In [7]: r.close
Out[7]: array([ 124.63, 127.46, 129.4 , ..., NaN, NaN, NaN])
In [8]: np.save('mydata.npy', r)
------------------------------------------------------------
Traceback (most recent call last):
File "<ipython console>", line 1, in ?
File "/home/titan/johnh/dev/lib/python2.4/site-packages/numpy/lib/io.py",
line 158, in save
format.write_array(fid, arr)
File "/home/titan/johnh/dev/lib/python2.4/site-packages/numpy/lib/format.py",
line 272, in write_array
cPickle.dump(array, fp, protocol=2)
SystemError: frexp() result out of range
In [9]: np.__version__
Out[9]: '1.2.0.dev5136'
In [10]: !uname -a
SunOS flag 5.10 Generic_118855-15 i86pc i386 i86pc
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