Hi, I'm trying to read in single columns from an SQL database as 1D numpy arrays with the correct types. So a FLOAT column would be returned as a numpy.float32 array, etc. Is there an easy way to do this?
I tried to select a column from the whole table, and going through each element and appending it to a list, then converting to a numpy array, but the problem is that this doesn't guarantee the type of the final numpy array. For example, if a column is: [ Null, Null, 1.24124,5.12421, Null ] converting this to a numpy array gives a numpy array of type numpy.object type. Rather than trying to have an elaborate set of rules to figure out how to convert each column to its correct type, I thought there might be a robust way of doing this that just uses the existing column definition to figure out which numpy type to use? Thanks for any help, Thomas --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to sqlalchemy+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~----------~----~----~----~------~----~------~--~---
