03 2020 档案
摘要：分析250条电影数据的类型数量分布# coding = utf-8import pandas as pdimport numpy as npfrom matplotlib import pyplot as pltfrom matplotlib import font_managermy_font =
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摘要：# coding = utf-8# encoding:utf-8import reimport sysfrom collections import OrderedDictimport pandas as pdimport requestsfrom bs4 import BeautifulSoup#
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摘要：# coding = utf-8import numpy as npdef nan_fill(a): for i in range(a.shape[1]): temp_col = a[:, i] count_col_nan = np.count_nonzero(temp_col == temp_co
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摘要：四部电影三天内的票房统计# coding=utf-8from matplotlib import pyplot as pltfrom matplotlib import font_managermy_font = font_manager.FontProperties(fname='C:/Windo
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摘要：# coding = utf-8from matplotlib import pyplot as pltimport randomfrom matplotlib import font_managerimport matplotlib#matplotlib设置字体#法一：适用于windows/lin
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摘要：# coding=utf-8from matplotlib import pyplot as pltx = range(2,26,2)y = [15,13,14.5,17,20,25,26,26,24,22,18,15]fig = plt.figure(figsize=(20,8),dpi=80)#
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摘要：from matplotlib import pyplot as pltinterval = [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 60, 90] # 时间width = [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 15, 30,
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摘要：# coding = utf-8from matplotlib import pyplot as pltimport randomy = [random.randint(90, 181) for i in range(250)] #随机生成250个大小在90-180的数字列表bin_width =
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摘要：def __init__(self, url, start_page, pages, page_size): """ 初始化 @param url: 爬取主网址 @param start_page: 起始页码 @param pages: 总页码（截止页码） @param page_size: 每页的
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摘要：pd.set_option('display.float_format',lambda x: '%.2f'%x) pd.set_option('display.expand_frame_repr',False) #显示所有列 pd.set_option('display.max_columns',
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