def read_tdx_trader_stock(self,path=r'c:\new_tdx\t0002\blocknew\buy.blk'): ''' 读取通达信板块自选股交易 ''' try: stock_list=[] with open(r'{}'.format(path),'r+') as f: com=f.readlines() for i in com: i=i.strip() if len(str(i))>0: stock_list.append(i) df=pd.dataframe() df['证券代码']=stock_list df['证券代码']=df['证券代码'].apply(lambda x:str(x)[-
以下是为您补充的 3 点额外需要注意的逻辑点: 1. 考虑异常处理的完整性,比如文件不存在或无法读取的情况。 2. 对于读取到的数据的格式和内容进行更多的验证和处理,确保数据的准确性和可用性。 3. 优化代码的性能,例如减少不必要的内存占用或提高循环的效率。 [2024-12-07 13:53:04 | AI写代码神器 | 84点数解答]
相关提问
- [字节豆包] def read_tdx_trader_stock(self,path=r'c:\new_tdx\t0002\blocknew\buy.blk'): ''' 读取通达信板块自选股交易 ''' try: stock_list=[] with open(r'{}'.format(path),'r+') as f: com=f.readlines() for i in com: i=i.strip() if len(str(i))>0: stock_list.append(i) df=pd.dataframe() df['证券代码']=stock_list df['证券代码']=df['证券代码'].apply(lambda x:str(x)[-(84点数解答 | 2024-12-07 13:53:04)219
- [阿里通义] def read_tdx_trader_stock(self,path=r'c:\new_tdx\t0002\blocknew\buy.blk'): ''' 读取通达信板块自选股交易 ''' try: stock_list=[] with open(r'{}'.format(path),'r+') as f: com=f.readlines() for i in com: i=i.strip() if len(str(i))>0: stock_list.append(i) df=pd.dataframe() df['证券代码']=stock_list df['证券代码']=df['证券代码'].apply(lambda x:str(x)[-(340点数解答 | 2024-12-07 13:53:39)219
- [字节豆包] try: stock_list=[] with open(r'{}'.format(path),'r+') as f: com=f.readlines() for i in com: i=i.strip() if len(str(i))>0: stock_list.append(i) df=pd.dataframe() df['证券代码']=stock_list df['证券代码']=df['证券代码'].apply(lambda x:str(x)[-6:]) return df(294点数解答 | 2024-12-07 13:50:32)195
- [字节豆包] # 预处理 def load_and_preprocess(file_path): df = pd.read_excel(file_path, engine='openpyxl') df = df.rename(columns={ '评价内容': 'comment', '星级': 'rating' }) # 删除未评论评价以及评论为空的记录 df = df.remove('此用户没有填写评价。') df = df.remove('此用户未及时填写评价内容') df = df.remove('此用户未填写评价内容') df = df.remove('该用户未评价,系统默认好评') df = df.dropna(subset=['comment']) # 去除非文字字符(保留中文、英文、数字) df['comment'] = df['comment'].apply(lambda x: re.sub(r'[^\w\u4e00-\u9fff]', '', (635点数解答 | 2025-06-25 15:46:50)153
- [字节豆包] 只修改g_best和p_best这两行代码import random class point(object): def __init__(self, x, v): self.x_list = [x] self.v_list = [v] self.fit_list = [] class pso(object): def __init__(self): # 学习因子 self.c1 = 2.0 self.c2 = 2.0 # 种群数量 self.m = 5 # 惯性因子 self.w = 0.5 # 迭代次数 self.iter_num = 100 # 定义域 self.x_bound = (0, 31) self.group = self._init_x_list() # 得分函数 @staticmetho(298点数解答 | 2024-10-29 21:10:07)256
- [字节豆包] 继承以上rect类,设计一个newrect类,要求添加一个数据成员,用以存放矩形位置, 位置坐标通常为矩形左上角坐标,用元组表示,例如(x,y),然后 修改构造方法; 设计move()方法,将矩形从一个位置移动到另一个位置; 设计size()方法改变矩形大小; 设计where()返回矩形左上角的坐标值。 class rect: def __init__(self,length,width): self.length=length self.width=width def perimeter(self): return 2*(self.length+self.width) def area(self): return self.length*self.width def show(self): print("该矩形的信息如下:") print("长=",self.length,end=",") p(110点数解答 | 2025-01-02 23:42:09)243
- [字节豆包] 继承以上rect类,设计一个newrect类,要求添加一个数据成员,用以存放矩形位置, 位置坐标通常为矩形左上角坐标,用元组表示,例如(x,y),然后 修改构造方法; 设计move()方法,将矩形从一个位置移动到另一个位置; 设计size()方法改变矩形大小; 设计where()返回矩形左上角的坐标值。 class rect: def __init__(self,length,width): self.length=length self.width=width def perimeter(self): return 2*(self.length+self.width) def area(self): return self.length*self.width def show(self): print("该矩形的信息如下:") print("长=",self.length,end=",") p(94点数解答 | 2025-01-02 23:42:11)236
- [字节豆包] 继承以上rect类,设计一个newrect类,要求添加一个数据成员,用以存放矩形位置, 位置坐标通常为矩形左上角坐标,用元组表示,例如(x,y),然后 修改构造方法; 设计move()方法,将矩形从一个位置移动到另一个位置; 设计size()方法改变矩形大小; 设计where()返回矩形左上角的坐标值。 class rect: def __init__(self,length,width): self.length=length self.width=width def perimeter(self): return 2*(self.length+self.width) def area(self): return self.length*self.width def show(self): print("该矩形的信息如下:") print("长=",self.length,end=",") p(94点数解答 | 2025-01-02 23:42:12)246
- [字节豆包] class loaddata(dataset): def __init__(self, csv_file): # 读取数据 data = pd.read_csv(csv_file, parse_dates=['timestamp'], index_col='timestamp', dayfirst=true) self.data = self.prepare_daily_samples(data['household 200']) # 处理缺失值和异常值 self.data = self.handle_missing_and_outliers(self.data) # 数据最大值归一化处理 self.scaler = minmaxscaler() self.data = self.scaler.fit_transform(self.data.reshape(-1, self.data.shape[-1])).reshape(self(34点数解答 | 2024-11-09 10:50:56)296
- [GPT] class student: def __init__(self, name, chinese, math, english, physics, chemistry, biology, politics, history, geography): self.name = name self.chinese = chinese self.math = math self.english = english self.physics = physics self.chemistry = chemistry self.biology = biology self.politics = politics self.history = history self.geography = geography self.total_score = chinese + math + english + physics +(474点数解答 | 2024-12-01 20:47:57)279
- [字节豆包] class student: def __init__(self, name, chinese, math, english, physics, chemistry, biology, politics, history, geography): self.name = name self.chinese = chinese self.math = math self.english = english self.physics = physics self.chemistry = chemistry self.biology = biology self.politics = politics self.history = history self.geography = geography self.total_score = chinese + math + english + physics +(123点数解答 | 2024-12-01 20:51:20)325
- [GPT] import socket import threading import tkinter as tk from tkinter import scrolledtext, messagebox, simpledialog, filedialog import traceback class chatclient: def __init__(self, root): self.root = root self.root.title("pytalk") self.root.geometry("500x600") self.sock = none self.main_menu() def main_menu(self): for widget in self.root.winfo_children(): widget.destroy() self.label = tk.label(self.root, text="欢迎来到pytalk(1469点数解答 | 2024-10-30 13:14:13)291