将多个元素附加到数据框

我有一个从zillow中提取大量变量的函数。我使用lambda函数将返回的值附加到数据帧。我想知道是否有更快的方法来返回所有变量并将它们附加到数据帧而不是单独。

这是我的代码：

from xml.dom.minidom import parse,parseString
import xml.dom.minidom
import requests
import sys
import pandas as pd
import numpy as np

l_zwsid=''

df = pd.read_csv('data.csv')

def getElementValue(p_dom,p_element):

if len(p_dom.getElementsByTagName(p_element)) > 0:
   l_value=p_dom.getElementsByTagName(p_element)[0]
   return(l_value.firstChild.data)
else:
   l_value='NaN'
   return(l_value)

def getData(l_zwsid, a_addr, a_zip):

try:
    l_url='http://www.zillow.com/webservice/GetDeepSearchResults.htm?zws-id='+l_zwsid+'&address='+a_addr+'&citystatezip='+a_zip
    xml=requests.get(l_url)
    dom=parseString(xml.text)

    responses=dom.getElementsByTagName('response')

    zpid=getElementValue(dom,'zpid')
    usecode=getElementValue(dom,'useCode')
    taxyear=getElementValue(dom,'taxAssessmentYear')
    tax=getElementValue(dom,'taxAssessment')
    yearbuilt=getElementValue(dom,'yearBuilt')
    sqft=getElementValue(dom,'finishedSqFt')
    lotsize=getElementValue(dom,'lotSizeSqFt')
    bathrooms=getElementValue(dom,'bathrooms')
    bedrooms=getElementValue(dom,'bedrooms')
    totalrooms=getElementValue(dom,'totalRooms')
    lastSale=getElementValue(dom,'lastSoldDate')
    lastPrice=getElementValue(dom,'lastSoldPrice')
    latitude=getElementValue(dom, 'latitude')
    longitude=getElementValue(dom, 'longitude')

    for response in responses:
        addresses=response.getElementsByTagName('address')
        for addr in addresses:
            street=getElementValue(addr,'street')
            zipcode=getElementValue(addr,'zipcode')

        zestimates=response.getElementsByTagName('zestimate')
        for zest in zestimates:
            amt=getElementValue(zest,'amount')
            lastupdate=getElementValue(zest,'last-updated')
            valranges=zest.getElementsByTagName('valuationRange')
            for val in valranges:
                low=getElementValue(val,'low')
                high=getElementValue(val,'high')
    return longitude, latitude
except AttributeError:
    return None

df['Longtitude'] = df.apply(lambda row: getData(l_zwsid, row['Street'], row['Zip']), axis = 1)
df['Latitude'] = df.apply(lambda row: getData(l_zwsid, row['Street'], row['Zip']), axis = 1)
这当前不起作用，因为新列将包含经度和纬度。