PYTHON

convert xml to dataframe python

XML_file = 'file.xml' 
df = pd.DataFrame(XMl_file)

Read XML file to Pandas DataFrame

from lxml import objectify
xml = objectify.parse('Document1.xml')
root = xml.getroot()

data=[]
for i in range(len(root.getchildren())):
    data.append([child.text for child in root.getchildren()[i].getchildren()])

df = pd.DataFrame(data).T
df.columns = ['bathrooms', 'price', 'property_id']

Python: Extracting XML to DataFrame (Pandas)

path = 'AttributesXMLPandas.xml'
dfcols = ['ID', 'Text', 'CreationDate']

root = et.parse(path)
rows = root.findall('.//row')

# NESTED LIST
xml_data = [[row.get('Id'), row.get('Text'), row.get('CreationDate')] 
            for row in rows]

df_xml = pd.DataFrame(xml_data, columns=dfcols)

print(df_xml)

#   ID   Text             CreationDate
# 0  1  (...)  2011-08-30T21:15:28.063
# 1  2  (...)  2011-08-30T21:24:56.573
# 2  3  (...)                     None