Fastest way to parse XML in Python

问题

I'm trying to find the qickest way to parse sensor data from a smartphone for a realtime application. The Format looks like this:

<?xml version='1.0' encoding='UTF-8' standalone='yes' ?>
<NodeId>0</NodeId>
<Accelerometer>
    <Accelerometer1>-.1875240802764893</Accelerometer1>
    <Accelerometer2>4.6734819412231445</Accelerometer2>
    <Accelerometer3>8.312667846679688</Accelerometer3>
</Accelerometer>
<Gyroscope>
    <Gyroscope1>-0.10551923513412476</Gyroscope1>
    <Gyroscope2>0.009592439979314804</Gyroscope2>
    <Gyroscope3>0.019185146316885948</Gyroscope3>
</Gyroscope>
<Gravity>
    <Gravity1>-1.2976515293121338</Gravity1>
    <Gravity2>3.672762393951416</Gravity2>
    <Gravity3>9.003327369689941</Gravity3>
</Gravity>
<TimeStamp>1377767599250</TimeStamp>

The available sensor data might change depending on the phone. But once the connection is established the structure of the packages won't change, so maybe parts of the parsing could be skipped.

回答1:

If parsing speed is a key factor for you, consider using cElementTree or lxml.

There are definitely more options out there, see these threads:

• What is the fastest way to parse large XML docs in Python?
• How do I parse XML in Python?
• High-performance XML parsing in Python with lxml

来源：https://stackoverflow.com/questions/18507481/fastest-way-to-parse-xml-in-python