first commit, it can work

Ashare.py

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+#-*- coding:utf-8 -*-    --------------Ashare 股票行情数据双核心版( https://github.com/mpquant/Ashare ) 
+import json,requests,datetime;      import pandas as pd  #
+
+#腾讯日线
+def get_price_day_tx(code, end_date='', count=10, frequency='1d'):     #日线获取  
+    unit='week' if frequency in '1w' else 'month' if frequency in '1M' else 'day'     #判断日线，周线，月线
+    if end_date:  end_date=end_date.strftime('%Y-%m-%d') if isinstance(end_date,datetime.date) else end_date.split(' ')[0]
+    end_date='' if end_date==datetime.datetime.now().strftime('%Y-%m-%d') else end_date   #如果日期今天就变成空    
+    URL=f'http://web.ifzq.gtimg.cn/appstock/app/fqkline/get?param={code},{unit},,{end_date},{count},qfq'     
+    st= json.loads(requests.get(URL).content);    ms='qfq'+unit;      stk=st['data'][code]   
+    buf=stk[ms] if ms in stk else stk[unit]       #指数返回不是qfqday,是day
+    df=pd.DataFrame(buf,columns=['time','open','close','high','low','volume'],dtype='float')     
+    df.time=pd.to_datetime(df.time);    df.set_index(['time'], inplace=True);   df.index.name=''          #处理索引 
+    return df
+
+#腾讯分钟线
+def get_price_min_tx(code, end_date=None, count=10, frequency='1d'):    #分钟线获取 
+    ts=int(frequency[:-1]) if frequency[:-1].isdigit() else 1           #解析K线周期数
+    if end_date: end_date=end_date.strftime('%Y-%m-%d') if isinstance(end_date,datetime.date) else end_date.split(' ')[0]        
+    URL=f'http://ifzq.gtimg.cn/appstock/app/kline/mkline?param={code},m{ts},,{count}' 
+    st= json.loads(requests.get(URL).content);       buf=st['data'][code]['m'+str(ts)] 
+    df=pd.DataFrame(buf,columns=['time','open','close','high','low','volume','n1','n2'])   
+    df=df[['time','open','close','high','low','volume']]    
+    df[['open','close','high','low','volume']]=df[['open','close','high','low','volume']].astype('float')
+    df.time=pd.to_datetime(df.time);   df.set_index(['time'], inplace=True);   df.index.name=''          #处理索引     
+    if len(buf) > 0:
+        df['close'][-1]=float(st['data'][code]['qt'][code][3])                #最新基金数据是3位的
+    return df
+
+
+#sina新浪全周期获取函数，分钟线 5m,15m,30m,60m  日线1d=240m   周线1w=1200m  1月=7200m
+def get_price_sina(code, end_date='', count=10, frequency='60m'):    #新浪全周期获取函数    
+    frequency=frequency.replace('1d','240m').replace('1w','1200m').replace('1M','7200m');   mcount=count
+    ts=int(frequency[:-1]) if frequency[:-1].isdigit() else 1       #解析K线周期数
+    if (end_date!='') & (frequency in ['240m','1200m','7200m']): 
+        end_date=pd.to_datetime(end_date) if not isinstance(end_date,datetime.date) else end_date    #转换成datetime
+        unit=4 if frequency=='1200m' else 29 if frequency=='7200m' else 1    #4,29多几个数据不影响速度
+        count=count+(datetime.datetime.now()-end_date).days//unit            #结束时间到今天有多少天自然日(肯定 >交易日)        
+        #print(code,end_date,count)    
+    URL=f'http://money.finance.sina.com.cn/quotes_service/api/json_v2.php/CN_MarketData.getKLineData?symbol={code}&scale={ts}&ma=5&datalen={count}' 
+    dstr= json.loads(requests.get(URL).content);       
+    #df=pd.DataFrame(dstr,columns=['day','open','high','low','close','volume'],dtype='float') 
+    df= pd.DataFrame(dstr,columns=['day','open','high','low','close','volume'])
+    df['open'] = df['open'].astype(float); df['high'] = df['high'].astype(float);                          #转换数据类型
+    df['low'] = df['low'].astype(float);   df['close'] = df['close'].astype(float);  df['volume'] = df['volume'].astype(float)    
+    df.day=pd.to_datetime(df.day);    df.set_index(['day'], inplace=True);     df.index.name=''            #处理索引                 
+    if (end_date!='') & (frequency in ['240m','1200m','7200m']): return df[df.index<=end_date][-mcount:]   #日线带结束时间先返回              
+    return df
+
+def get_price(code, end_date='',count=10, frequency='1d', fields=[]):        #对外暴露只有唯一函数，这样对用户才是最友好的  
+    xcode= code.replace('.XSHG','').replace('.XSHE','')                      #证券代码编码兼容处理 
+    xcode='sh'+xcode if ('XSHG' in code)  else  'sz'+xcode  if ('XSHE' in code)  else code     
+
+    if  frequency in ['1d','1w','1M']:   #1d日线  1w周线  1M月线
+         try:    return get_price_sina( xcode, end_date=end_date,count=count,frequency=frequency)   #主力
+         except: return get_price_day_tx(xcode,end_date=end_date,count=count,frequency=frequency)   #备用                    
+    
+    if  frequency in ['1m','5m','15m','30m','60m']:  #分钟线 ,1m只有腾讯接口  5分钟5m   60分钟60m
+         if frequency in '1m': return get_price_min_tx(xcode,end_date=end_date,count=count,frequency=frequency)
+         try:    return get_price_sina(  xcode,end_date=end_date,count=count,frequency=frequency)   #主力   
+         except: return get_price_min_tx(xcode,end_date=end_date,count=count,frequency=frequency)   #备用
+        
+if __name__ == '__main__':    
+    df=get_price('sh000001',frequency='1d',count=10)      #支持'1d'日, '1w'周, '1M'月  
+    print('上证指数日线行情\n',df)
+    
+    df=get_price('000001.XSHG',frequency='15m',count=10)  #支持'1m','5m','15m','30m','60m'
+    print('上证指数分钟线\n',df)
+
+# Ashare 股票行情数据( https://github.com/mpquant/Ashare ) 

get_min_data.py

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+from  Ashare import *
+
+import os
+import time
+import csv
+
+stock_codes = {}
+with open('table-r.txt', 'r', encoding='utf-8') as file:
+    csv_reader = csv.DictReader(file)
+    for row in csv_reader:
+        code = row["code"]
+        if code.startswith("sh") or code.startswith("sz"):
+            stock_codes[code] = row["name"]
+
+for c, n in stock_codes.items():
+    print(f"getting stock:{c} name:{n}")
+    file_name = str(c) + "-" + str(n) + ".txt"
+    file_name = file_name.replace("*", "#")
+    if os.path.exists(file_name):
+        print(f"file:{file_name} already exist, skip")
+        continue
+    try:
+        df = get_price(c, frequency='1m', count=240)
+        ctx = df.to_string()
+    except:
+        print("get price error")
+        ctx = ""
+    with open(file_name, "w", encoding="utf-8") as outfile:
+        outfile.write(ctx)
+    # time.sleep(0.01)