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Unit.convert vs np.int32 #470

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bblay opened this issue Apr 23, 2013 · 1 comment · Fixed by #472
Closed

Unit.convert vs np.int32 #470

bblay opened this issue Apr 23, 2013 · 1 comment · Fixed by #472
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Type: Bug

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@bblay
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bblay commented Apr 23, 2013

iris.unit.Unit.convert breaks with scalar np.int32.

>>> import iris.unit 
>>> u = iris.unit.Unit("hPa")
>>> u.convert(200, "Pa")
20000.0
>>> u.convert(np.float(200), "Pa")
20000.0
>>> u.convert(np.int64(200), "Pa")
20000.0
>>> u.convert(np.array([200,200], dtype=np.int32), "Pa")
array([ 20000.,  20000.])
>>> u.convert(np.int32(200), "Pa")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/h05/itbb/.local/lib/python2.7/site-packages/iris/unit.py", line 1779, in convert
    pointer = value_copy.ctypes.data_as(
AttributeError: 'numpy.float64' object has no attribute 'ctypes'
This was referenced Apr 23, 2013
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@esc24 esc24 mentioned this issue Apr 23, 2013
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esc24 commented Apr 25, 2013

Fixed by #472.

@esc24 esc24 closed this as completed Apr 25, 2013
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Modified logic in Unit.convert to handle numpy scalars. esc24/iris
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@esc24 @bblay