I've a few questions about parsing XML. I wrote some code that works but I want to know which are the most intelligent data structures to parse data to
Consider that my XML file is something like the following: <Settings> <Station> <Id>1</Id> <Data1>XXX</Data1> <Groups> <Group> .... </Group> <Group> .... </Group> </Groups> </Station> <Station> .... </Station> </Settings> So root element can have station child element from 1 to n Each station element have unique child elements apart from groups which may have more group child element each with a few tags Now I want to parse this xml file and get the tag values into variables in python I could have 1 station element or 2 or 3 I could append all data in a long list, but is this good? Could it be better to build a dictionary for each station element and then build a list of dictionary Which method you suggest to find data and use it after parsing it? If later in the program I want to access a variable value I want to do it with the xml tag name and not with an index like Settings[10] for example but something like Settings['tag'].... But what if I have more than one structure like station which has the same keys? Following is part of my code for now. Thanks! marco try: import xml.etree.cElementTree as ET except ImportError: import xml.etree.ElementTree as ET # Settings XML File Parsing tree = ET.parse('settingstest.xml') root = tree.getroot() stations = len(root) print "Found ",stations, " stations configured in settings file" Settings = [] for station in root: StationId = station.find('StationId') Settings.append(StationId) ..... _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor