[XML-SIG] parsing XML with minidom
kimmyaf
flahertyk1 at hotmail.com
Mon Apr 26 23:14:57 CEST 2010
Thanks Stefan. I tried this but it's not getting into the for block for some
reason.
I'll keep trying!
Stefan Behnel-3 wrote:
>
> kimmyaf, 26.04.2010 00:24:
>> Hello. I've only done a litte bit of parsing with minidom before but I'm
>> having trouble getting my values out of this xml. I need the latitude and
>> longitude values in bold.
>
> I don't see anything 'bold' in your mail, but your example tells me what
> data you mean.
>
> Here is some untested code using xml.etree.cElementTree:
>
> import xml.etree.cElementTree as ET
> tree = ET.parse("thefile.xml")
> for tag in tree.getiterator("location"):
> print tag.findtext("lat"), tag.findtext("lng")
>
> Note that cElementTree is both faster and simpler than minidom.
>
> Stefan
>
>
>
>> <GeocodeResponse>
>> <status>OK</status>
>> <result>
>> <type>street_address</type>
>> <formatted_address>50 Oakland St, Wellesley, MA 02481,
>> USA</formatted_address>
>> <address_component>
>> <long_name>50</long_name>
>> <short_name>50</short_name>
>> <type>street_number</type>
>> </address_component>
>> <address_component>
>> <long_name>Oakland St</long_name>
>> <short_name>Oakland St</short_name>
>> <type>route</type>
>> </address_component>
>> <address_component>
>> <long_name>Wellesley</long_name>
>> <short_name>Wellesley</short_name>
>> <type>locality</type>
>> <type>political</type>
>> </address_component>
>> <address_component>
>> <long_name>Wellesley</long_name>
>> <short_name>Wellesley</short_name>
>> <type>administrative_area_level_3</type>
>> <type>political</type>
>> </address_component>
>> <address_component>
>> <long_name>Norfolk</long_name>
>> <short_name>Norfolk</short_name>
>> <type>administrative_area_level_2</type>
>> <type>political</type>
>> </address_component>
>> <address_component>
>> <long_name>Massachusetts</long_name>
>> <short_name>MA</short_name>
>> <type>administrative_area_level_1</type>
>> <type>political</type>
>> </address_component>
>> <address_component>
>> <long_name>United States</long_name>
>> <short_name>US</short_name>
>> <type>country</type>
>> <type>political</type>
>> </address_component>
>> <address_component>
>> <long_name>02481</long_name>
>> <short_name>02481</short_name>
>> <type>postal_code</type>
>> </address_component>
>> <geometry>
>> <location>
>> <lat>42.3118520</lat>
>> <lng>-71.2632680</lng>
>> </location>
>> <location_type>ROOFTOP</location_type>
>> <viewport>
>> <southwest>
>> <lat>42.3093524</lat>
>> <lng>-71.2665476</lng>
>> </southwest>
>> <northeast>
>> <lat>42.3156476</lat>
>> <lng>-71.2602524</lng>
>> </northeast>
>> </viewport>
>> </geometry>
>> </result>
>> </GeocodeResponse>
>>
>>
>> Code:
>>
>> body = dom.getElementsByTagName('GeocodeResponse')[0]
>>
>> for item in body.getElementsByTagName('location'):
>> lat = item.getAttribute('lat')
>> lng = item.getAttribute('lng')
>
> _______________________________________________
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>
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