How to solve Key Error while XML File Parsing in Python
I have the following XML file which I want to convert as a Pandas DataFrame.
row {'Id': '-1', 'Reputation': '1', 'CreationDate': '2009-09-28T00:00:00.000', 'DisplayName': 'Community', 'LastAccessDate': '2010-11-10T17:25:34.627', 'WebsiteUrl': 'http://meta.stackexchange.com/', 'Location': 'on the server farm', 'AboutMe': '<p>Hi, I\'m not really a person.</p>\n\n<p>I\'m a background process that helps keep this site clean!</p>\n\n<p>I do things like</p>\n\n<ul>\n<li>Randomly poke old unanswered questions every hour so they get some attention</li>\n<li>Own community questions and answers so nobody gets unnecessary reputation from them</li>\n<li>Own downvotes on spam/evil posts that get permanently deleted</li>\n<li>Own suggested edits from anonymous users</li>\n<li><a href="http://meta.stackexchange.com/a/92006">Remove abandoned questions</a></li>\n</ul>\n', 'Views': '0', 'UpVotes': '21001', 'DownVotes': '27468', 'AccountId': '-1'} row {'Id': '1', 'Reputation': '21228', 'CreationDate': '2009-09-28T14:35:46.490', 'DisplayName': 'Anton Geraschenko', 'LastAccessDate': '2020-05-17T06:51:32.333', 'WebsiteUrl': 'http://stacky.net', 'Location': 'Palo Alto, CA, United States', 'AboutMe': '<p>You can get in touch with me at [email protected].</p>\n', 'Views': '25360', 'UpVotes': '1052', 'DownVotes': '90', 'AccountId': '36500'} The following code works for an almost identical XML file but when I use it for this file I get an error:
CODE
users_tree = ET.parse("/content/Users.xml") users_root = users_tree.getroot() file_path_users = r"/content/Users.xml" dict_list_users = [] for _, elem in ET.iterparse(file_path_users, events=("end",)): if elem.tag == "row": dict_list_users.append({'UserId': elem.attrib['Id'], 'Reputation': elem.attrib['Reputation'], 'CreationDate': elem.attrib['CreationDate'], 'DisplayName': elem.attrib['DisplayName'], 'LastAccessDate': elem.attrib['LastAccessDate'], 'WebsiteUrl': elem.attrib['WebsiteUrl'], 'Location': elem.attrib['Location'], 'AboutMe': elem.attrib['AboutMe'], 'Views': elem.attrib['Views'], 'UpVotes': elem.attrib['UpVotes'], 'DownVotes': elem.attrib['DownVotes'], 'AccountId': elem.attrib['AccountId']}) elem.clear() df_users = pd.DataFrame(dict_list_users) ERROR
KeyError Traceback (most recent call last) <ipython-input-18-7af87798bae8> in <module>() 24 'DisplayName': elem.attrib['DisplayName'], 25 'LastAccessDate': elem.attrib['LastAccessDate'], ---> 26 'WebsiteUrl': elem.attrib['WebsiteUrl'], 27 'Location': elem.attrib['Location'], 28 'AboutMe': elem.attrib['AboutMe'], KeyError: 'WebsiteUrl' NOTE: This error occurs for all attributes after LastAccessDate, i.e., even if I remove the WebsiteUrl key, I get error for the next attribute and so on.
Please provide me a way to fix this.
Error appears to be due to missing attributes in one or more of the <row> tags. Instead of explicitly assigning dictionary keys/values by each attribute consider retrieving all attributes. Doing so, the final DataFrame constructor will input NAs to rows with missing attributes.
for _, elem in ET.iterparse(file_path_users, events=("end",)): if elem.tag == "row": dict_list_users.append(elem.attrib) # RETRIEVE ALL ATTRIBUTES elem.clear() # SHOULD BE AT NESTED LEVEL df_users = pd.DataFrame(dict_list_users) If above pulls in more columns than needed, keep only the relevant columns with reindex:
df_users = df_users.reindexc(['UserId', 'Reputation', 'CreationDate', 'DisplayName', 'LastAccessDate', 'WebsiteUrl', 'Location', 'AboutMe', 'Views', 'UpVotes', 'DownVotes', 'AccountId'], axis='columns') 
