如何将表与表转换为CSV并输出为JSON

Question

我有以下代码可以从Word Doc提取表并从表中创建CSV文件的列表：

from docx import Document
import pandas as pd
import csv 
import json
import time
document = Document('pathtoFile')

tables = []
for table in document.tables:
    df = [['' for i in range(len(table.columns))] for j in range(len(table.rows))]
    for i, row in enumerate(table.rows):
        for j, cell in enumerate(row.cells):
            if cell.text:
                df[i][j] = cell.text
    tables.append(pd.DataFrame(df))

    for nr, i in enumerate(tables):
        i.to_csv("table_" + str(nr) + ".csv")

我还具有以下脚本来获取CSV文件并将其提取到JSON：

import csv 
import json
import time

def csv_to_json(csvFilePath, jsonFilePath):
    jsonArray = []
      
    #read csv file
    with open(csvFilePath, encoding='utf-8', errors='ignore') as csvf: 
        #load csv file data using csv library's dictionary reader
        csvReader = csv.DictReader(csvf) 

        #convert each csv row into python dict
        for row in csvReader: 
            #add this python dict to json array
            jsonArray.append(row)
  
    #convert python jsonArray to JSON String and write to file
    with open(jsonFilePath, 'w', encoding='utf-8') as jsonf: 
        jsonString = json.dumps(jsonArray, indent=4)
        jsonf.write(jsonString)
          
csvFilePath = r'pathtoFile'
jsonFilePath = r'pathtoFile'

start = time.perf_counter()
csv_to_json(csvFilePath, jsonFilePath)
finish = time.perf_counter()

print(f"Conversion completed successfully in {finish - start:0.4f} seconds")

主要问题是组合两者并弄清楚。如何使用桌子将Word Document取用，将其提取到CSV，然后将CSV提取并转换为JSON。我可能会过度复杂化，但对建议开放。