易水寒

是《Python 网络爬虫实战与机器学习应用》12章的例子，地址在 https://yuedu.baidu.com/ebook/8cd608073868011ca300a6c30c2259010302f34d1.播放次数分析 chart1 = df3.sort_values('playCount', ascending=False).drop_duplicates('name')plt.figu...

import pandasimport matplotlib.pyplot as pltimport numpy as npimport jsonfrom pandas import DataFrame, Seriespath = 'ch02/usagov_bitly_data2012-03-16-1331923249.txt'#从文件中读取records = [json.load...

#去除naresults = Series([x.split()[0] for x in frame.a.dropna()])# print(results[:5])# print(results.value_counts()[:8])cframe = frame[frame.a.notnull()]#得到一个np，如果包含Windows就是Windows，不然是NotWindowso...

import pandas as pdimport matplotlib.pyplot as pltimport numpy as npimport jsonfrom pandas import DataFrame, Seriesunames = ['user_id', 'gender', 'age', 'occupation', 'zip']#用read_table方式读取数据，...

1. 连接mysql,使用 read_sqlimport pymysqlimport pandas as pdimport matplotlib.pyplot as pltimport numpy as npconnect = pymysql.connect( host = '127.0.0.1', db = 'wxarticle',...

import mpl_finance as mpffig, (ax1, ax2) = plt.subplots(2, sharex=True, figsize=(15,8))mpf.candlestick_ohlc(ax1,daysreshape.values,width=1.5,colorup='r',colordown='green')ax1.set_ylabel("price")#...

import numpy as npfrom pandas import Series,DataFrameimport pandas as pd# 使用pandas的cut函数划分年龄组ages = [20,22,25,27,21,23,37,31,61,45,32]bins = [18,25,35,60,100]cats = pd.cut(ages,bins)print(cats...