如何用python将dbf文件转成dataframe

如题。我现在知道pandas里有read_sql，不过不知道里面的参数怎么填。因为我就用到一个dbf，不涉及数据库，平时也是用vfp来打开。现在想将它读进Python，所以求教各位大神！

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需要外部库dbfread

import dbfread
def readDbfFile(filename):
    table = dbfread.DBF(filename, encoding='GBK')
    for field in table.fields:
        print(field)

https://www.cnblogs.com/zhugaopeng/p/9745800.html

#!/usr/bin/python3
# -*- coding:utf-8 -*-
__author__ = 'mayi'

#导入模块
from dbfread import DBF

#数据表文件名
table = DBF('test.dbf')

#遍历数据表中（没加删除标志）的记录
for record in table:
    for field in record:
        print(field, "=", record[field], end = ",")
    print()

print("*" * 40)

#遍历数据表中（加了删除标志）的记录
for record in table.deleted:
    for field in record:
        print(field, "=", record[field], end = ",")
    print()