do_sings_user.py序列数据自动存放

#!/usr/bin/env python
from struct import *
import pandas as pd
import numpy as np
import os
import re
import pathlib

def get_new_data():
    #pathdir = "G:\datas of status\python codes\data of every months"
    pathdir = "G:\datas of status\python codes\everyday_data"#新数据原文件存放位置
    files = np.array(os.listdir(pathdir))

    #file_names = np.char.add(pathdir + "\", files)
    file_names =[pathdir+"\"+f for f in files if re.search('.csv$',f)]
    df_all = pd.DataFrame()
    for file in file_names:
        print(file)
        df1 = pd.read_csv(file)
        df_all = df_all.append(df1)


    #print(df_all)
    df_all["name"] = df_all["name"].str.replace("SZ","0_")
    df_all["name"] = df_all["name"].str.replace("SH","1_")
    df_all["name"] = df_all["name"] + ".dat"
    df_all["begin"] = df_all["name"].map(str) + df_all["date"].map(str)
    #print(df_all.columns.values)
    return df_all





def read_file_out(file):
    f3 = open(file,mode='rb')
    buf = f3.read()
    #print(buf)
    num=len(buf)
    #print(num)
    no = num / 8
    b = 0
    e = 8
    items = list()
    df_all = pd.DataFrame()
    for i in range(int(no)):
        date = unpack("I",buf[b:e-4])
        con = unpack("f",buf[b+4:e])
        data = {"date":date,
                'content':con}
        df1 = pd.DataFrame(data)
        #print(date)
        #print(data)
        #print(df1)
        df_all = df_all.append(df1)
        #print(a)
        #print(c)
        b = b + 8
        e = e + 8
    df_all = df_all.reset_index(drop=True)
    return df_all


def chang_to_bin(filew,df_all):
    fw = open(filew, mode='wb')
    for i in range(len(df_all)):
        #print(df_all.loc[i,"date"])
        #print(type(df_all.loc[i,"date"]))
        fw.write(pack("I",int(df_all.loc[i,"date"])))
        fw.write(pack("f",df_all.loc[i,"content"]))

dir_dict = {
    "z_xiao" : "signals_user_41",
    "z_zhong" : "signals_user_42",
    "z_da" : "signals_user_43",
    "z_te_da" : "signals_user_44",
    "f_xiao" : "signals_user_45",
    "f_zhong" : "signals_user_46",
    "f_da" : "signals_user_47",
    "f_te_da" : "signals_user_48"
    }
#pathdir =  "F:\python\untitled1\core\do_sings_user"#更新后数据存放位置
pathdir = "F:\通达信\New tdx vip2020.03开心果整合版红顶栏\New tdx vip2020.03开心果整合版\T0002\signals"
df_new_data = get_new_data()
df_only_name = df_new_data["name"]
#df_only = df_only.drop_duplicates(subset=['name'],keep='last',inplace=False)
df_only_name = df_only_name.drop_duplicates(keep='last',inplace=False)
print(len(df_only_name))
for name in df_only_name[13:14]:#控件股票数df_only_name[13:15]
    print(name)
    df_t_name = df_new_data[df_new_data["name"] == name]
    for key in dir_dict.keys():
        #if key == "f_zhong":
            #print(key)
            pathdir_key = pathdir + "\" + dir_dict[key]
            file_t_name = pathdir_key + "\" + name
            df_t_name_key =pd.DataFrame(df_t_name,columns = ["date",key])
            df_t_name_key["content"] = df_t_name_key[key]
            df_t_name_key = df_t_name_key.drop(columns=key)
            df_t_name_key = df_t_name_key.drop_duplicates(subset=["date"], keep="last", inplace=False)
            #print(df_t_name_key)
            if not os.path.isfile(file_t_name):
                pathlib.Path(file_t_name).touch()#创建空文件
            df_old = read_file_out(file_t_name)
            df_old = df_old.drop_duplicates(subset=["date"], keep="last", inplace=False)
            #print(df_old)
            df_t_name_key = df_old.append(df_t_name_key,sort = False)
            df_t_name_key = df_t_name_key.drop_duplicates(subset = ["date"],keep = "last",inplace=False)
            df_t_name_key = df_t_name_key.reset_index(drop =  True)
           #print(df_t_name_key)

            chang_to_bin(file_t_name, df_t_name_key)