Darrick White wrote:
>> Dear Darrick,
>>
>> here is a second solution using reads.
>>
>> pro test
>> data=['1:23','2:32','3:30','4:45']
>>
>> s={x:bytarr(1),s:bytarr(1),y:bytarr(2)}
>> s=replicate(s,4)
>>
>> reads,byte(data),s
>>
>> print,string(s.x)
>> print,string(s.y)
>> end
>>
>> IDL> 1 2 3 4
>> IDL> 23 32 30 45
>
>
>
> It looks like I'm not explaining my problem clearly. For instance,
> the following sets of data are valid inputs to my application:
>
> 1) data=['1:23','2:32','3:30','4:45']
> 2) data=['12:23','22:32:34:45','32:30','42:45:90']
> 3) data=['100:23','200:32','300:30','400:45']
> 4) data=['1:23:2','2:32:2','3:30:2','4:45:2']
>
ok
do the followings. reads is very powerful (not only histogram)
data=replace_string(data,':',',')
1) data=replace_string(data,':',',')
a=intarr(2)
b=intarr(2)
c=intarr(2)
d=intarr(2)
reads,data,a,b,c,d
print,a,b,c,d
1 23
2 32
3 30
4 45
2) data=replace_string(data,':',',')
a=intarr(2)
b=intarr(4)
c=intarr(2)
d=intarr(3)
reads,data,a,b,c,d
print,a,b,c,d
12 23
22 32 34 45
32 30
42 45 90
3) data=replace_string(data,':',',')
a=intarr(2)
b=intarr(2)
c=intarr(2)
d=intarr(2)
reads,data,a,b,c,d
print,a,b,c,d
100 23
200 32
300 30
400 45
4) data=replace_string(data,':',',')
a=intarr(3)
b=intarr(3)
c=intarr(3)
d=intarr(3)
reads,data,a,b,c,d
print,a,b,c,d
1 23 2
2 32 2
3 30 2
4 45 2
You'll find replace_string at our library:
http://www.fz-juelich.de/icg/icg-i/idl_icglib/idl_source/idl _html/dbase/download/replace_string.tgz
or as idl5.6 binary
http://www.fz-juelich.de/icg/icg-i/idl_icglib/idl_source/idl _html/dbase/download/replace_string.sav
Please have a look for licensing and further routines at
http://www.fz-juelich.de/icg/icg-i/idl_icglib/idl_lib_intro. html
If you write yourself a function to count the ":" signs +1 then this
could be easy automated.
regards
Reimar
> The resulting transformation would like this for both:
>
> 1) print, intarr(2,4)
> 1 23
> 2 32
> 3 30
> 4 45
>
> 2) print, intarr(4,4)
> 12 23 NaN NaN
> 22 32 34 45
> 32 30 NaN NaN
> 42 45 90 NaN
>
> 3) print, intarr(2,4)
> 100 23
> 200 32
> 300 30
> 400 45
>
> 4) print, intarr(3,4)
> 1 23 2
> 2 32 2
> 3 30 2
> 4 45 2
>
> Is there a way (not knowing what data set input is used) to transform
> my data into the corresponding result array? Note: For
> transformation #2 above, I need to append each point to my new array.
> If the array dimensions don't match, I need to fill in those missing
> elements with 'NaN'.
>
> Thanks
> -Darrick
--
Reimar Bauer
Institut fuer Stratosphaerische Chemie (ICG-I)
Forschungszentrum Juelich
email: R.Bauer@fz-juelich.de
------------------------------------------------------------ -------
a IDL library at ForschungsZentrum Juelich
http://www.fz-juelich.de/icg/icg-i/idl_icglib/idl_lib_intro. html
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