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So, based on your recommendations, please extract all relevant content that can be extracted from this XML file and put it on a csv file, and write complete python code for it. Kindly note that I have a directory that has multiple XML files.

Energetic Eel answered on July 23, 2023 Popularity 1/10 Helpfulness 1/10

answer So, based on your recommendations, please extract all relevant content that can be extracted from this XML file and put it on a csv file, and write complete python code for it. Kindly note that I have a directory that has multiple XML files.

So, based on your recommendations, please extract all relevant content that can be extracted from this XML file and put it on a csv file, and write complete python code for it. Kindly note that I have a directory that has multiple XML files.

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import os
import csv
import xml.etree.ElementTree as ET

def extract_data_from_xml(xml_file):
    tree = ET.parse(xml_file)
    root = tree.getroot()

    # Extract relevant information from the XML file
    metadata = root.findtext('meta')
    doc_source = root.findtext('docSource')
    u_id = root.findtext('uId')
    pmc_id = root.findtext('pmcId')
    license_type = root.findtext('licenseType')
    license_url = root.findtext('licenseURL')
    cc_license = root.findtext('ccLicense')
    article_url = root.findtext('articleURL')
    article_date = root.findtext('articleDate')
    article_type = root.findtext('articleType')
    publisher = root.findtext('publisher')
    title = root.findtext('title')
    note = root.findtext('note')
    specialty = root.findtext('specialty')
    subset = root.findtext('subset')

    abstract_comparison = root.findtext(".//AbstractText[@Label='COMPARISON']")
    abstract_indication = root.findtext(".//AbstractText[@Label='INDICATION']")
    abstract_findings = root.findtext(".//AbstractText[@Label='FINDINGS']")
    abstract_impression = root.findtext(".//AbstractText[@Label='IMPRESSION']")

    author_list = []
    for author in root.findall('.//Author'):
        last_name = author.findtext('LastName')
        fore_name = author.findtext('ForeName')
        initials = author.findtext('Initials')
        author_list.append(f"{fore_name} {last_name} {initials}")

    language = root.findtext('Language')

    publication_type_list = [pub_type.text for pub_type in root.findall('.//PublicationType')]

    image_captions = [caption.text for caption in root.findall('.//caption')]

    # Create a dictionary with extracted data
    data = {
        'Metadata': metadata,
        'Document Source': doc_source,
        'UID': u_id,
        'PMC ID': pmc_id,
        'License Type': license_type,
        'License URL': license_url,
        'CC License': cc_license,
        'Article URL': article_url,
        'Article Date': article_date,
        'Article Type': article_type,
        'Publisher': publisher,
        'Title': title,
        'Note': note,
        'Specialty': specialty,
        'Subset': subset,
        'Abstract Comparison': abstract_comparison,
        'Abstract Indication': abstract_indication,
        'Abstract Findings': abstract_findings,
        'Abstract Impression': abstract_impression,
        'Author List': '; '.join(author_list),
        'Language': language,
        'Publication Type List': '; '.join(publication_type_list),
        'Image Captions': '; '.join(image_captions)
    }

    return data

def main(input_dir, output_csv):
    # Initialize the CSV file with column headers
    csv_headers = [
        'Metadata', 'Document Source', 'UID', 'PMC ID', 'License Type', 'License URL', 'CC License',
        'Article URL', 'Article Date', 'Article Type', 'Publisher', 'Title', 'Note', 'Specialty',
        'Subset', 'Abstract Comparison', 'Abstract Indication', 'Abstract Findings', 'Abstract Impression',
        'Author List', 'Language', 'Publication Type List', 'Image Captions'
    ]

    with open(output_csv, 'w', newline='', encoding='utf-8') as csvfile:
        writer = csv.DictWriter(csvfile, fieldnames=csv_headers)
        writer.writeheader()

        # Process each XML file in the input directory
        for xml_file in os.listdir(input_dir):
            if xml_file.endswith('.xml'):
                xml_path = os.path.join(input_dir, xml_file)
                data = extract_data_from_xml(xml_path)
                writer.writerow(data)

if __name__ == "__main__":
    input_directory = "path/to/xml_files_directory"
    output_csv_file = "output_data.csv"

    main(input_directory, output_csv_file)

Popularity 1/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: csv directory extract file put python this xml

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Contributed on Jul 23 2023

Energetic Eel

0 Answers Avg Quality 2/10

So, based on your recommendations, please extract all relevant content that can be extracted from this XML file and put it on a csv file, and write complete python code for it. Kindly note that I have a directory that has multiple XML files.

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So, based on your recommendations, please extract all relevant content that can be extracted from this XML file and put it on a csv file, and write complete python code for it. Kindly note that I have a directory that has multiple XML files.

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