untitied

摘要： 绘制词云 import pandas as pd import re import jieba.posseg as psg import numpy as np # 去重，去除完全重复的数据 reviews = pd.read_csv("reviews.csv") reviews = reviews 阅读全文

摘要： 连接数据库 import os import pandas as pd # 修改工作路径到指定文件夹 os.chdir("C:/Users/86188/Desktop/周二实训/第六周") # 第一种连接方式 from sqlalchemy import create_engine engine = 阅读全文

摘要： 一、水流量分布 import pandas as pd import matplotlib.pyplot as plt inputfile ='original_data.xls' data = pd.read_excel(inputfile) # 读取数据 # 查看有无水流的分布 # 数据提取 l 阅读全文

摘要： 1.查看数据特征 import numpy as np import pandas as pd inputfile = 'GoodsOrder.csv' data = pd.read_csv(inputfile,encoding= 'gbk') # 读取数据 data .info() # 查看数据属 阅读全文

摘要： import pandas as pd datafile= 'air_data.csv' # 航空原始数据,第一行为属性标签 resultfile = 'explore.csv' # 数据探索结果表 data = pd.read_csv(datafile,encoding='utf-8') # 包括 阅读全文

摘要： import numpy as npimport pandas as pd inputfile = 'data.csv' data = pd.read_csv(inputfile) # 描述性统计分析 description = [data.min(), data.max(), data.mean( 阅读全文

摘要： 1.不同菜品在某段时间的销售量的分布情况（饼图和条形图） import pandas as pd import matplotlib.pyplot as plt catering_dish_profit = 'catering_dish_profit.xls' # 餐饮数据 data = pd.re 阅读全文

摘要： 张量 import tensorflow as tf #创建常量 rank_0_tensor = tf.constant(4) print(rank_0_tensor) #创建一阶张量（向量） rank_1_tensor = tf.constant([2.0, 3.0, 4.0]) print(ra 阅读全文

摘要： import math from pandas import DataFrame def sigmoid(x):#激活函数 return 1/(1+math.exp(-x)) f = open(r"data.txt") line = f.readline() data_list = [] while 阅读全文

摘要： import jiebaexcludes = {"quot","什么","一个","我们","那里","你们","如今","说道","知道","起来","姑娘","这里","出来","他们","众人","自己", "一面","只见",&qu 阅读全文