Bryan Fodness wrote:
> I would like to have my data in a format so that I can create a contour plot.
>
> My data is in a file with a format, where there may be multiple fields
>
> field = 1
>
> 1a 0
If your data is really this regular, it is pretty easy to parse. A
useful technique is to access a file's next method directly. Something
like this (not tested!):
f = open('data.txt')
fields = {} # build a dict of fields
try:
while True:
# Get the field line
line = f.next()
field = int(line.split()[-1]) # last part of the line as an int
f.next() # skip blank line
data = {} # for each field, map (row, col) to value
for i in range(20): # read 20 data lines
line = f.next()
ix, value = f.split()
row = int(ix[:-1])
col = ix[-1]
data[row, col] = int(value)
fields[field] = data
f.next()
except StopIteration:
pass
This builds a dict whose keys are field numbers and values are
themselves dicts mapping (row, col) pairs to a value.
> where,
>
> a b
> a b a b
> 10 0000000000|0000000000 0000000000|0000000000 0000000000|0000000000
> 9 0000000000|0000000000 0000000000|0000000000 0000000000|0000000000
> 8 0000011111|1111100000 0000000000|0000000000 0000000000|0000000000
> 7 0000011111|1111100000 0000001111|1111000000 0000000000|0000000000
> 6 0000011111|1111100000 0000001111|1111000000 0000000111|1110000000
> 5 0000011111|1111100000 0000001111|1111000000 0000000111|1110000000
> 4 0000011111|1111100000 0000001111|1111000000 0000000000|0000000000
> 3 0000011111|1111100000 0000000000|0000000000 0000000000|0000000000
> 2 0000000000|0000000000 0000000000|0000000000 0000000000|0000000000
> 1 0000000000|0000000000 0000000000|0000000000 0000000000|0000000000
I guess this is the intended output? Do you want to actually create a
printed table like this, or some kind of data structure that represents
the table, or what?
Kent
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