#Spss code range how to#

Now if you have your list of variable names you want, you can figure out the index value. Here is a one liner to get the variable names of the active dataset and plop them in a list. The above code works fine if you know the position of the variable in the file, but if the position can change this wonвЂ™t work. The first print object is (('A',), ('B',), ('C',)), but the second is. SpAlp_list = for i in spAlp] #convert to nice list Here I use list comprehension to turn the resulting tuples for the Z variable into a nice list. When grabbing one variable, you may want just a list of the objects instead of the nested tuples. Remember, Python indices start at zero, so if you want the first and second variables in the dataset, you need to grab the 0 and 1 indices. To only grab particular variables from the list, you can pass a set of indices in the spss.Cursor object. You can also just grab one case by replacing dataCursor.fetchall() with dataCursor.fetchone(), in which case it will just return one tuple. Here is an example of grabbing all of the cases. To import this data into Python, we need to import the spss class of functions, which then you can read cases from the active dataset using the Cursor attribute. First to start out we will make a simple dataset of three variables. Here we are going to do the opposite - turn SPSS data into Python objects.

#Spss code range how to#

Previously I blogged about how to take Python data and turn it back into SPSS data.