Hello,
I have the following arrays read as masked array.
I[10]: basic.data['Air_Temp'].mask
O[10]: array([ True, False, False, ..., False, False, False], dtype=bool)
[12]: basic.data['Press_Alt'].mask
O[12]: False
I[13]: len basic.data['Air_Temp']
-----> len(basic.data['Air_Temp'])
O[13]: 1758
The first item data['Air_Temp'] has only the first element masked and this
result with mask attribute being created an equal data length bool array. On
the other hand data['Press_Alt'] has no elements to mask yielding a 'False'
scalar. Is this a documented behavior or intentionally designed this way?
This is the only case out of 20 that breaks my code as following: :)
IndexError Traceback (most recent call last)
130 for k in range(len(shorter)):
131 if (serialh.data['dccnTempSF'][k] != 0) \
--> 132 and (basic.data['Air_Temp'].mask[k+diff] == False):
133 dccnConAmb[k] = serialc.data['dccnConc'][k] * \
134 physical.data['STATIC_PR'][k+diff] * \
IndexError: invalid index to scalar variable.
since mask is a scalar in this case, nothing to loop terminating with an
IndexError.
--
Gökhan
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