Re: preparing data for visualization
On Nov 12, 5:12 pm, John Machin <[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] 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
> > 2a 0
>
> The above is NOT consistent with the later listing of your data file.
>
> [big snip
>
> > 10b 0
>
> > where the value is how far from the center it will be displaced,
>
> > a b a
> > b a b
> > 10 00|00 00|00 00|
>
> [big snip of seemingly irrelevant stuff]
>
>
>
>
>
> > 100|00 00|00 00|
> > 00
>
> > I could possibly have many of these that I will add together and
> > normalize to one.
>
> > Also, there are 60 a and b blocks, the middle 40 are 0.5 times the
> > width of the outer 20.
>
> > I thought about filling an array, but there is not a one to one
> > symmetry.
>
> > I cannot seem to get my head around this. Can anybody help me get
> > started?
>
> > I have tried to use a dictionary, but cannot seem to get it to work
> > the way I want.
>
> > I try this,
>
> > -----
>
> > f = open('TEST1.MLC')
>
> > fields = {}
>
> > for line in f:
> >if line.split()[0] == 'Field':
>
> >field = int(line.split()[-1])
>
> Do line.split() ONCE per line.
>
>
>
> >elif line.split()[0] == 'Leaf':
> >fields[field] = line.split()[-1]
> >else:
> >line = f.next()
>
> Don't mix
> for line in f
> and
> line = f.next()
> otherwise you will you will skip lines that you don't want to skip and/
> or become confused.
>
>
>
> > -----
>
> > and get,
>
> > -----
>
> > Traceback (most recent call last):
> > File "", line 1, in
> >line.split()[0]
> > IndexError: list index out of range
>
> This indicates that you have a list for which 0 is not a valid index.
> If it had 1 or more elements, then 0 would be a valid index. I
> conclude that the list is empty. This would happen if line contained
> no characters other than whitespace.
In other words, the blank lines between the blocks of data.
>
>
>
>
>
> > Here is my data file,
>
> > -----
>
> > File Rev = G
> > Treatment = Dynamic Dose
> > Last Name = Fodness
> > First Name = Bryan
> > Patient ID = 0001
> > Number of Fields = 4
> > Number of Leaves = 120
> > Tolerance = 0.50
>
> > Field = 10
> > Index = 0.
> > Carriage Group = 1
> > Operator =
> > Collimator = 0.0
> > Leaf 1A = 0.00
> > Leaf 2A = 0.00
> [snip]
> > Leaf 20A = 0.00
> > Leaf 21A = 5.00
> > Leaf 22A = 5.00
> [snip]
> > Leaf 40A = 5.00
>
> [big snip -- your code failed no later than the 10th line in the data
> file]
> To find out what is going on, print out some variables:
>
> 8<--- fodness.py
> f = open('fodness.dat')
> fields = {}
> for lino, line in enumerate(f):
> tokens = line.split()
> print "Line %d: tokens = %r" % (lino, tokens)
> if not tokens:
> continue # blank/empty line
> tok0 = tokens[0]
> if tok0 == 'Field':
> field = int(tokens[-1])
> elif tok0 == 'Leaf':
> fields[field] = tokens[-1]
> else:
> continue
> print " Fields:", fields
> 8<---
>
> Results [truncated]:
>
> C:\junk>fodness.py | more
> Line 0: tokens = []
> Line 1: tokens = ['File', 'Rev', '=', 'G']
> [snip]
> Line 8: tokens = ['Tolerance', '=', '0.50']
> Line 9: tokens = []
> Line 10: tokens = ['Field', '=', '10']
>Fields: {}
> Line 11: tokens = ['Index', '=', '0.']
> Line 12: tokens = ['Carriage', 'Group', '=', '1']
> Line 13: tokens = ['Operator', '=']
> Line 14: tokens = ['Collimator', '=', '0.0']
> Line 15: tokens = ['Leaf', '1A', '=', '0.00']
>Fields: {10: '0.00'} <<== Don't you need a float
> instead of a string??
> Line 16: tokens = ['Leaf', '2A', '=', '0.00']
>Fields: {10: '0.00'}
> Line 17: tokens = ['Leaf', '3A', '=', '0.00']
>Fields: {10: '0.00'}
> Line 18: tokens = ['Leaf', '4A', '=', '0.00']
>Fields: {10: '0.00'}
>
Yep, crahing on blank lines.
f = open(r'C:\python25\user\MLC\TEST1.MLC')
fields = {}
for line in f:
the_line = line.split() # split only once
if the_line: # test if the_line empty
if the_line[0] == 'Field': # if not, start checking
field = int(the_line[-1])
elif the_line[0] == 'Leaf':
fields[field] = the_line[-1]
## f.next() removed
> Don't you want/need to use the leaf IDs (1A, 2A, etc)?? I guess that
> you want to end up with NESTED dictonaries, like this:
> fields = {
> 10: {
> '1A': 0.0,
>
Re: preparing data for visualization
[EMAIL PROTECTED] 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
> 2a 0
The above is NOT consistent with the later listing of your data file.
[big snip
> 10b 0
>
> where the value is how far from the center it will be displaced,
>
> a b a
> b a b
> 10 00|00 00|00 00|
[big snip of seemingly irrelevant stuff]
> 100|00 00|00 00|
> 00
>
> I could possibly have many of these that I will add together and
> normalize to one.
>
> Also, there are 60 a and b blocks, the middle 40 are 0.5 times the
> width of the outer 20.
>
> I thought about filling an array, but there is not a one to one
> symmetry.
>
> I cannot seem to get my head around this. Can anybody help me get
> started?
>
> I have tried to use a dictionary, but cannot seem to get it to work
> the way I want.
>
> I try this,
>
> -
>
> f = open('TEST1.MLC')
>
> fields = {}
>
> for line in f:
>if line.split()[0] == 'Field':
>
>field = int(line.split()[-1])
Do line.split() ONCE per line.
>
>elif line.split()[0] == 'Leaf':
>fields[field] = line.split()[-1]
>else:
>line = f.next()
Don't mix
for line in f
and
line = f.next()
otherwise you will you will skip lines that you don't want to skip and/
or become confused.
>
> -
>
> and get,
>
> -
>
> Traceback (most recent call last):
> File "", line 1, in
>line.split()[0]
> IndexError: list index out of range
This indicates that you have a list for which 0 is not a valid index.
If it had 1 or more elements, then 0 would be a valid index. I
conclude that the list is empty. This would happen if line contained
no characters other than whitespace.
> Here is my data file,
>
> -
>
> File Rev = G
> Treatment = Dynamic Dose
> Last Name = Fodness
> First Name = Bryan
> Patient ID = 0001
> Number of Fields = 4
> Number of Leaves = 120
> Tolerance = 0.50
>
> Field = 10
> Index = 0.
> Carriage Group = 1
> Operator =
> Collimator = 0.0
> Leaf 1A = 0.00
> Leaf 2A = 0.00
[snip]
> Leaf 20A = 0.00
> Leaf 21A = 5.00
> Leaf 22A = 5.00
[snip]
> Leaf 40A = 5.00
[big snip -- your code failed no later than the 10th line in the data
file]
To find out what is going on, print out some variables:
8<--- fodness.py
f = open('fodness.dat')
fields = {}
for lino, line in enumerate(f):
tokens = line.split()
print "Line %d: tokens = %r" % (lino, tokens)
if not tokens:
continue # blank/empty line
tok0 = tokens[0]
if tok0 == 'Field':
field = int(tokens[-1])
elif tok0 == 'Leaf':
fields[field] = tokens[-1]
else:
continue
print " Fields:", fields
8<---
Results [truncated]:
C:\junk>fodness.py | more
Line 0: tokens = []
Line 1: tokens = ['File', 'Rev', '=', 'G']
[snip]
Line 8: tokens = ['Tolerance', '=', '0.50']
Line 9: tokens = []
Line 10: tokens = ['Field', '=', '10']
Fields: {}
Line 11: tokens = ['Index', '=', '0.']
Line 12: tokens = ['Carriage', 'Group', '=', '1']
Line 13: tokens = ['Operator', '=']
Line 14: tokens = ['Collimator', '=', '0.0']
Line 15: tokens = ['Leaf', '1A', '=', '0.00']
Fields: {10: '0.00'} <<== Don't you need a float
instead of a string??
Line 16: tokens = ['Leaf', '2A', '=', '0.00']
Fields: {10: '0.00'}
Line 17: tokens = ['Leaf', '3A', '=', '0.00']
Fields: {10: '0.00'}
Line 18: tokens = ['Leaf', '4A', '=', '0.00']
Fields: {10: '0.00'}
Don't you want/need to use the leaf IDs (1A, 2A, etc)?? I guess that
you want to end up with NESTED dictonaries, like this:
fields = {
10: {
'1A': 0.0,
'2A': 0.0,
etc,
},
8: {
etc,
},
etc,
}
HTH,
John
--
http://mail.python.org/mailman/listinfo/python-list
preparing data for visualization
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
2a 0
3a 5
4a 5
5a 5
6a 5
7a 5
8a 5
9a 0
10a 0
1b 0
2b 0
3b 5
4b 5
5b 5
6b 5
7b 5
8b 5
9b 0
10b 0
field = 2
1a 0
2a 0
3a 0
4a 4
5a 4
6a 4
7a 4
8a 0
9a 0
10a 0
1b 0
2b 0
3b 0
4b 4
5b 4
6b 4
7b 4
8b 0
9b 0
10b 0
field = 3
1a 0
2a 0
3a 0
4a 0
5a 3
6a 3
7a 0
8a 0
9a 0
10a 0
1b 0
2b 0
3b 0
4b 0
5b 3
6b 3
7b 0
8b 0
9b 0
10b 0
where the value is how far from the center it will be displaced,
a b a
b a b
10 00|00 00|00 00|
00
900|00 00|00 00|
00
801|10 00|00 00|
00
701|10 00|00 00|
00
601|10 00|00 000111|
111000
501|10 00|00 000111|
111000
401|10 00|00 00|
00
301|10 00|00 00|
00
200|00 00|00 00|
00
100|00 00|00 00|
00
I could possibly have many of these that I will add together and
normalize to one.
Also, there are 60 a and b blocks, the middle 40 are 0.5 times the
width of the outer 20.
I thought about filling an array, but there is not a one to one
symmetry.
I cannot seem to get my head around this. Can anybody help me get
started?
I have tried to use a dictionary, but cannot seem to get it to work
the way I want.
I try this,
-
f = open('TEST1.MLC')
fields = {}
for line in f:
if line.split()[0] == 'Field':
field = int(line.split()[-1])
elif line.split()[0] == 'Leaf':
fields[field] = line.split()[-1]
else:
line = f.next()
-
and get,
-
Traceback (most recent call last):
File "", line 1, in
line.split()[0]
IndexError: list index out of range
-
Here is my data file,
-
File Rev = G
Treatment = Dynamic Dose
Last Name = Fodness
First Name = Bryan
Patient ID = 0001
Number of Fields = 4
Number of Leaves = 120
Tolerance = 0.50
Field = 10
Index = 0.
Carriage Group = 1
Operator =
Collimator = 0.0
Leaf 1A = 0.00
Leaf 2A = 0.00
Leaf 3A = 0.00
Leaf 4A = 0.00
Leaf 5A = 0.00
Leaf 6A = 0.00
Leaf 7A = 0.00
Leaf 8A = 0.00
Leaf 9A = 0.00
Leaf 10A = 0.00
Leaf 11A = 0.00
Leaf 12A = 0.00
Leaf 13A = 0.00
Leaf 14A = 0.00
Leaf 15A = 0.00
Leaf 16A = 0.00
Leaf 17A = 0.00
Leaf 18A = 0.00
Leaf 19A = 0.00
Leaf 20A = 0.00
Leaf 21A = 5.00
Leaf 22A = 5.00
Leaf 23A = 5.00
Leaf 24A = 5.00
Leaf 25A = 5.00
Leaf 26A = 5.00
Leaf 27A = 5.00
Leaf 28A = 5.00
Leaf 29A = 5.00
Leaf 30A = 5.00
Leaf 31A = 5.00
Leaf 32A = 5.00
Leaf 33A = 5.00
Leaf 34A = 5.00
Leaf 35A = 5.00
Leaf 36A = 5.00
Leaf 37A = 5.00
Leaf 38A = 5.00
Leaf 39A = 5.00
Leaf 40A = 5.00
Leaf 41A = 0.00
Leaf 42A = 0.00
Leaf 43A = 0.00
Leaf 44A = 0.00
Leaf 45A = 0.00
Leaf 46A = 0.00
Leaf 47A = 0.00
Leaf 48A = 0.00
Leaf 49A = 0.00
Leaf 50A = 0.00
Leaf 51A = 0.00
Leaf 52A = 0.00
Leaf 53A = 0.00
Leaf 54A = 0.00
Leaf 55A = 0.00
Leaf 56A = 0.00
Leaf 57A = 0.00
Leaf 58A = 0.00
Leaf 59A = 0.00
Leaf 60A = 0.00
Leaf 1B = 0.00
Leaf 2B = 0.00
Leaf 3B = 0.00
Leaf 4B = 0.00
Leaf 5B = 0.00
Leaf 6B = 0.00
Leaf 7B = 0.00
Leaf 8B = 0.00
Leaf 9B = 0.00
Leaf 10B = 0.00
Leaf 11B = 0.00
Leaf 12B = 0.00
Leaf 13B = 0.00
Leaf 14B = 0.00
Leaf 15B = 0.00
Leaf 16B = 0.00
Leaf 17B = 0.00
Leaf 18B = 0.00
Leaf 19B = 0.00
Leaf 20B = 0.00
Leaf 21B = 5.00
Leaf 22B = 5.00
Leaf 23B = 5.00
Leaf 24B = 5.00
Leaf 25B = 5.00
Leaf 26B = 5.00
Leaf 27B = 5.00
Leaf 28B = 5.00
Leaf 29B = 5.00
Leaf 30B = 5.00
Leaf 31B = 5.00
Leaf 32B = 5.00
Leaf 33B = 5.00
Leaf 34B = 5.00
Leaf 35B = 5.00
Leaf 36B = 5.00
Leaf 37B = 5.00
Leaf 38B = 5.00
Leaf 39B = 5.00
Leaf 40B = 5.00
Le
