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So I actually bothered to read the help the other day for

The first is passing a list to a function, and here is a simple example using the Python function

This takes the variables

This is a rather simplistic example, but the action is much simpler in Python than whatever equivalent SPSS code you can come up with. When using the

When passing a string constant to a function in

#data-manipulation

#Programmability

#python

#SPSS

#SPSSStatistics

`SPSSINC TRANS`

, which being generic allows you to use Python functions similar to how `COMPUTE`

statements work, just a bit more general. Two examples of passing arguments I did not know you could do were 1) pass a list as an argument, and 2) pass constants that aren't SPSS variables to functions. To follow are a few brief examples.The first is passing a list to a function, and here is a simple example using the Python function

`sorted()`

.`DATA LIST FREE / X1 X2 X3.`

BEGIN DATA

3 2 1

1 0 3

1 1 2

2 2 1

3 0 3

END DATA.

DATASET NAME Test.

SPSSINC TRANS RESULT=S1 S2 S3 TYPE=0

/FORMULA sorted([X1,X2,X3]).

This takes the variables

`X1`

to `X3`

, sorts them, and returns them in a new set of variables `S1`

to `S3`

. We can also do reverse sorting by passing a constant value of `1`

to the reverse function, which acts synonymously with `reverse=True`

.`SPSSINC TRANS RESULT=RS1 RS2 RS3 TYPE=0`

/FORMULA sorted([X1,X2,X3],reverse=1).

This is a rather simplistic example, but the action is much simpler in Python than whatever equivalent SPSS code you can come up with. When using the

`SPSSINC TRANS`

extension it expects the returned function to simply be a flat list. For this sorting situation though it might be convenient to return the order in which the original value was stored. Here I make a function that returns the indice of the original list, and then flattens the two into sequential order, per this SO answer.`BEGIN PROGRAM Python.`

import itertools

def SortList(L,reverse=0):

I = range(1,len(L)+1)

x = sorted(zip(L,I),reverse=reverse)

r = list(itertools.chain.from_iterable(x))

return r

#example use

print SortList(L=[2,1,3])

print SortList(L=[2,1,3],reverse=1)

END PROGRAM.

MATCH FILES FILE = * /DROP S1 TO RS3.

SPSSINC TRANS RESULT= S1 T1 S2 T2 S3 T3 TYPE=0

/FORMULA SortList([X1,X2,X3],reverse=1).

When passing a string constant to a function in

`SPSSINC TRANS`

you need to triple quote the string. This makes some of my prior examples of using the Google maps related API's much simpler. Instead of making variables to pass to the function, you can just triple quote the constants. Also when using the maps API I often have an argument for the API key, but you will get results even without a key (I presume Google just checks the IP address an limits you after so many requests). So for many of my functions you can not worry about making an API key and just pass an empty string. Here is an example from my prior Google distance API post using string constants and no API key.`BEGIN PROGRAM Python.`

import urllib, json

#This parses the returned json to pull out the distance in meters and

#duration in seconds, [None,None] is returned is status is not OK

def ExtJsonDist(place):

if place['rows'][0]['elements'][0]['status'] == 'OK':

meters = place['rows'][0]['elements'][0]['distance']['value']

seconds = place['rows'][0]['elements'][0]['duration']['value']

else:

meters,seconds = None,None

return [meters,seconds]

#Takes a set of lon-lat coordinates for origin and destination,

#plus your API key and returns the json from the distance API

def GoogDist(OriginX,OriginY,DestinationX,DestinationY,key):

MyUrl = ('https://maps.googleapis.com/maps/api/distancematrix/json'

'?origins=%s,%s'

'&destinations=%s,%s'

'&key=%s') % (OriginY,OriginX,DestinationY,DestinationX,key)

response = urllib.urlopen(MyUrl)

jsonRaw = response.read()

jsonData = json.loads(jsonRaw)

data = ExtJsonDist(jsonData)

return data

END PROGRAM.

*Grab the online data.

DATASET CLOSE ALL.

SPSSINC GETURI DATA

URI="https://dl.dropboxusercontent.com/u/3385251/NewYork_ZipCentroids.sav"

FILETYPE=SAV DATASET=NY_Zips.

*Selecting out only a few.

SELECT IF $casenum <= 5.

EXECUTE.

SPSSINC TRANS RESULT=Meters Seconds TYPE=0 0

/FORMULA GoogDist(OriginX=LongCent,OriginY=LatCent,DestinationX='''-78.276205''',DestinationY='''42.850721''',key=''' ''').

#data-manipulation

#Programmability

#python

#SPSS

#SPSSStatistics

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- The unquoted formula as in the example above,

/FORMULA sorted([X1,X2,X3],reverse=1)

works for simple cases, but since in that form it is first parsed by the Statistics parser and then glued together again by SPSSINC TRANS, more complicated syntax may fail. So it is a good idea to quote the entire formula using Statistics syntax rules. In this case it just means enclosing the formula in " or ', but if the formula has internal matching quote characters, they might need to be double. Usually, though, using " to surround and ' in the formula (or the other way around) is easiest.

- This example lists out the three variables, but if you need a lot of sequential variables either as arguments or for mutiple results, you can use the regular TO construct. For result variables, you could write S1 TO S3 here even if the variables do not already exist. For parameters, it is a little more roundabout, since TO is not Python syntax. The VARIABLES subcommand provides the TO expansion.

The VARIABLES subcommand can be used to create a Python variable list in the formula or initial expressions that supports SPSS rules.

It allows the use of TO according to the rules for RESULT except that all the variables must already exist (since these are inputs).

To refer to the variable list in the formula or initial expressions, use in that expression. For example,

/VARIABLES= V1 TO V3

/FORMULA "somefunc(, parm=100)"

would be interpreted as

/FORMULA "somefunc(V1, V2, V3, parm=100)"

e.g. could I make

/VARIABLES= V1 TO V3

/FORMULA “somefunc(, parm=100)”

be

“somefunc([V1,V2,V3], parm=100)”

instead of

“somefunc(V1, V2, V3, parm=100)”

?