Python 读取stata文件

   利用Python读取stata文件，并防止中文乱码。其中 load_large_dta用于读取stata文件，decode_str用于编译中文字符串。

import pandas as pd
import numpy as np
import os


from pyecharts import Geo, Map

def load_large_dta(fname):
    import sys

    reader = pd.read_stata(fname,iterator=True)
    df = pd.DataFrame()

    try:
        chunk = reader.get_chunk(100*1000)
        while len(chunk) > 0:
            df = df.append(chunk, ignore_index=True)
            chunk = reader.get_chunk(100*1000)
            print ('.')
            sys.stdout.flush()
    except (StopIteration, KeyboardInterrupt):
        pass

    print('\nloaded {} rows'.format(len(df)))

    return df



def deconde_str(string):
    """
    解码 dta文件防止 乱码
    """
    re = string.encode('latin-1').decode('utf-8')
    return re

# example
df_2002_path="C:/Users/Administrator/Desktop/企业经纬度数据/final_data_2002.dta"
df_2002=load_large_dta(df_2002_path)

解码字符串实例：