scikit-learn实现ebay数据分析 的随笔

注：只是随笔

import pandas as pd 

train = pd.read_csv()  读入scv格式的文件

train = train_set.drop([‘EbayID‘,‘QuantitySold‘,‘SellerName‘], axis=1) 去掉无用的features;

train.targer = train_set[‘QuantitySold‘]//获得成交信息

k,n=DataFrame.shape 

Return a tuple representing the dimensionality of the DataFrame.//获取成交 feature数量

# isSold： 拍卖成功为1， 拍卖失败为0

df = DataFrame(np.hstack((train,train_target[:, None])), columns=range(n_features) + ["isSold"])

_ = sns.pairplot(df[:50], vars=[2,3,4,10,13], hue="isSold", size=1.5)

scikit-learn实现ebay数据分析 的随笔

原文：http://www.cnblogs.com/sfzyk/p/6217953.html