SPSS调用python（6）：检索缺失值

前面几期讲过spss语法处理缺失值，这期让spss调用Python进行检索缺失值。

DATA LIST LIST (',') /numVar (f) stringVar (a4).

BEGIN DATA

0,a

1,b

,c

3,,

4,,

END DATA.

MISSING VALUES stringVar (' ') numVar(0).

BEGIN PROGRAM.

import spssdata

data=spssdata.Spssdata(convertUserMissing=False)

# Compile and store missing value information for the variables

# in the current cursor.

data.makemvchecker()

# Loop through the cases in the active dataset.

for i,row in enumerate(data):

# Check if the current case (row) has missing values.

if data.hasmissing(row):

print "引索: " + str(i+1)

# Loop through the variables in the current cursor.

for name in data.varnames():

varvalue = row[data.getvarindex(name)]

if varvalue==None:

print "\tThe value for variable " + str(name) + \

" is system-missing."

elif data.ismissing(name,varvalue):

print "\tThe value for variable " + str(name) + \

" is user-missing."

data.CClose()

END PROGRAM.

这时我们就可以在output栏里看到哪些被试具有缺失值，一个是系统缺失，另一个是人为设置缺失值，最后我们可以对缺失值进行处理。