A python script to extract data from CSV and convert it into Gephi compatible GML.

DataFrame to GML.ipynb

xml2csv

import sys, time
import pandas as pd
import datetime as dt
from IPython.display import display

import csv
import xml.etree.ElementTree as ET

def xml_to_csv(file_path,csv_name) -> None:
tree = ET.parse(file_path)
root = tree.getroot()

with open(csv_name, 'w') as csv_file:
    writer= csv.writer(csv_file)
    headers = (child.tag for child in root[0])
    writer.writerow(headers)
    num_records = len(root)
    
    for record in range(num_records):
        rec = (child.text for child in root[record])
        writer.writerow(rec)

if name = 'main':

 import sys
 import pathlib


try:
    file_path= sys.argv[1]
    csv_name=  sys.argv[2]
    
except IndexError:
    sys.exit('Tow argument required. One cml path and one save file name.')
        
with pathlib.Path(file_path) as xml_file:
    if xml_file.is_file():
        xml_to_csv(file_path, csv_name)
        
        
    else:
        sys.exit(f'Did not find {file_path}')

can i have the dataset of the csv file because i want to see the structure of the csv file