大数据

利用anaconda3画正余弦图现象，并且给图像进行部分填充、加入注释达到如下图的效果#导入相应的包import numpy as npimport matplotlib.pyplot as pltplt.rcParams['font.family']=['SimHei']plt.rcParams['axes.unicode_minus']=False#确定画布大小fig=plt.figure(figsize=(5,4),dpi=90)ax=fig.add_subplot(

#导入模块import pandas as pdimport numpy as np#获取数据#导入待处理数据white_wine.csv，并显示前5行data=pd.read_csv("D:\python test\white_wine.csv")data.to_csv("D:\python test\my_white_wine.csv")data.head()#查看白葡萄酒总共分为几种品质等级group1=data['quality'].groupby(data['qual.

#3.8本章实训#求花瓣长度均值最大的品种和花瓣长度方差最小的品种#导入模块import numpy as npimport csv#获取数据iris_data=[]with open("D:\python test\iris.csv") as csvfile: csv_reader=csv.reader(csvfile) birth_header=next(csv_reader) for row in csv_reader: iris_data.ap.

2.7本章实训#读取数据import csv f=open("D:\python test\white_wine.csv","r") reader=csv.reader(f) content=[] for row in reader: content.append(row) f.close() for i in range(5): print