饭果果

摘要： 1.评论去重的代码，数据清洗、分词、词性标注、去除停用词代码。 import pandas as pdimport reimport jieba.posseg as psgimport numpy as np # 去重，去除完全重复的数据reviews = pd.read_csv("./review 阅读全文

摘要： 连接数据库 import osimport pandas as pd # 修改工作路径到指定文件夹os.chdir("D:/周二实训/第六周") # 第一种连接方式from sqlalchemy import create_engine engine = create_engine('mysql+p 阅读全文

摘要： import pandas as pdimport matplotlib.pyplot as plt inputfile ='D:/Users/Lenovo/Documents/WeChat Files/wxid_jiprlm7rzg9u11/FileStorage/File/2023-03/ori 阅读全文

摘要： import numpy as npimport pandas as pdinputfile='D:\zy4\GoodsOrder.csv'data = pd.read_csv(inputfile,encoding = 'gbk')data.info()data = data['id']descri 阅读全文

摘要： #7-1 数据探索# 对数据进行基本的探索#返回缺失值个数以及最大、最小值# encoding:utf-8import pandas as pddatafile = 'D:/Jupyter/a/air_data.csv' # 航空原始数据，第一行为属性标签resultfile = 'D:/Jupyt 阅读全文

摘要： import numpy as npimport pandas as pd inputfile = 'D:\data.csv'data = pd.read_csv(inputfile) #描述性统计分析#依次计算最小值、最大值、均值、标准差description = [data.min(),data 阅读全文

摘要： import pandas as pdcatering_sale=(r'D:\sjfx\catering_sale.xls')data=pd.read_excel(catering_sale,index_col='日期')print(data.describe()) import matplotli 阅读全文

摘要： import tensorflow as tf #设置参数w的随机初始值为5，设定为可训练（即vaiable形式？） w = tf.Variable(tf.constant(5, dtype=tf.float32)) #学习率 lr=0.2 #循环次数 epoch=40 for epoch in r 阅读全文

摘要： import mathimport numpy as npimport pandas as pdfrom pandas import DataFrame,Series def sigmoid(x): #映射函数 return 1/(1+math.exp(-x)) x1=[0.66,0.55,0.54 阅读全文

摘要： def PI(n): pi=0 for k in range(n): pi += 1/pow(16,k)*(4/(8*k+1)-2/(8*k+4)-1/(8*k+5)-1/(8*k+6)) return pi import time scale = 20 print("执行开始".center(sc 阅读全文