----- Original Message -----
> From: Michael Rawlins <rawlin...@yahoo.com>
> To: Jeff Whitaker <jeffrey.s.whita...@noaa.gov>; Benjamin Root
> <ben.r...@ou.edu>; Matplotlib Users <matplotlib-users@lists.sourceforge.net>
> Cc:
> Sent: Wednesday, September 26, 2012 6:23 PM
> Subject: Re: [Matplotlib-users] error reading netcdf file
>
>
>
>> ________________________________
>> From: Jeff Whitaker <jeffrey.s.whita...@noaa.gov>
>> To: Benjamin Root <ben.r...@ou.edu>; Michael Rawlins
> <rawl...@geo.umass.edu>; Matplotlib Users
> <matplotlib-users@lists.sourceforge.net>
>> Sent: Wednesday, September 26, 2012 5:10 PM
>> Subject: Re: [Matplotlib-users] error reading netcdf file
>>
>>
>> Michael: You can't change an attribute in a read-only dataset. It
> should never have worked.
>>
>> -Jeff
>>
>>
>
>
> Thanks Jeff and Ben.
>
> Below is a complete version of one such program I use. I was give the program
> by
> a colleague and I do not know who wrote that code. My previous post showed
> only
> as far as the missing data statement.
>
<snip>
I've gotten my script to work by setting the missing value another way. I'm
showing lines commented out as well.
#data.missing_value=-9.99
#try:
# mval=data.missing_value
# print " using specified missing value =",mval
#except:
mval=-9.99
# print " faking missing value=",mval
# make a masked array: using missing value(s) in mval
maskdat=ma.masked_values(slice,mval)
If I understand correctly, in previous versions the value of -9.99 was passed
through the data.missing_value into mval. A mistake in coding that did not
result in an error. I will implement the change. Tomorrow I'll check that this
solution is backward compatible.
Mike
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