HTTPError类:该类是URLError的子类,,专门来处理HTTP请求错误,它有三个重要的属性—code(返回HTTP返回HTTP状态码),reason(返回错误的原因),headers(返回请求头) (三)parse模块 1.urlparse()方法和urlunparse()方法 2.urlsplit()方法和urlunsplit()方法 3.urljoin()方法 4.urlencode()方法 5. parse_qs()方法和parse_qsl()方法 6. quote()方法和unquote()...
defloadDataSet(filename): numFeatures=len(open(filename).readline().split('\t'))-1 dataMat=[] labelMat=[] f=open(filename) forlineinf.readlines(): lineArr=[] curLine=line.strip().split('\t') foriinrange(0,numFeatures): lineArr.append(float(curLine[i])) dataMat.append(lineArr...
import numpy as np from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score # 准备医学数据集 data, labels = prepare_medical_dataset() # 划分数据集为训练集和测试集 X_train, X_test, y_train, y_test = ...
seaborn自带了一些经典的数据集,用于基本的绘制图表示例数据。在联网状态下,可通过load_dataset()接口进行获取,首次下载后后续即可通过缓存加载。返回数据集格式为Pandas.DataFrame对象。 当前内置了10几个数据集,常用的经典数据集如下: iris:鸢尾花,与sklearn中数据集一致,仅有数值型数据 tips:小费,主要是中餐和晚餐的...
后者用于可视化决策树 from sklearn.model_selection import train_test_split # 用于将数据集分为训练...
1defloadDataSet():2data=[]3label=[]4fr=open('testSet.txt')5forlineinfr.readlines():# 循环读写,fr是一个已经打开的文件对象,readline()函数会读取文件中的一行内容6lineArr=line.strip().split()7data.append([1.0,float(lineArr[0]),float(lineArr[1])])# 添加列表8label.append(int(lineArr...
from surprise import SVD from surprise import Dataset from surprise.model_selection import train_test_split # 加载数据 data = Dataset.load_builtin('ml-100k') # 划分训练集和测试集 trainset, testset = train_test_split(data, test_size=0.25) # 使用SVD算法algo = SVD() algo.fit(trainset) #...
#导入依赖包%matplotlib inlineimport matplotlib.pyplot as pltimport seaborn as snssns.set(style="whitegrid", color_codes=True)tips = sns.load_dataset("tips") total_bill是消费总金额,tip是小费,size指用餐人数。boxplot()中数据参数有x和y,我们将消费数据依次传给x和y看看绘图效果: sns.boxplot(x=...
json_read = pd.read_json("./data/Sarcasm_Headlines_Dataset.json", orient="records", lines=True) 结果为: 5.3.2 to_json DataFrame.to_json(path_or_buf=None, orient=None, lines=False) 将Pandas 对象存储为json格式 path_or_buf=None:文件地址 orient:存储的json形式,{‘split’,’records’,...
Now you’re ready to split a larger dataset to solve a regression problem. You’ll use theCalifornia Housing dataset, which is included insklearn. This dataset has 20640 samples, eight input variables, and the house values as the output. You can retrieve it withsklearn.datasets.fetch_califor...