Ciarán Mooney wrote:
> Hi,
>
> I have an ASCII data set, which includes null data points. eg
>
> 1 x1 y1 z1
> 2 x2 y2 z2
> 3 x3 y3 z3
> 4 y3 z3
> 5 y4 z4
> 6 y5
>
> I am using ipython with pylab enabled, and the load("/xxx/xxx")
> function. However it chokes on the blank, "null", values. How can I
> get this data set into matplotlib?
I assume the file is using fixed-length fields. I don't know of any
ready-made tool for reading files with non-delimited fields, with or
without gaps, so you probably have to write your own to fit your
particular file. The general approach would be to read a line in as a
character string, use slices to isolate the fields, try to convert each
to a number, and if it fails put in a flag value. These numbers can go
in a list, and as you go through the lines you accumulate the lists in a
list. Then you can use numpy.ma.masked_equal(your_list_of_lists,
your_flag_value) to create a 2-D masked array suitable for use by mpl.
Eric
>
> Regards,
>
> Ciarán
>
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