02 2019 档案

摘要:1.上一章绘制一幅最简单的图像,这一章介绍figure的详细用法,figure用于生成图像窗口的方法,并可以设置一些参数 2.先看此次生成的图像: 3.代码(代码中有详细的注释) 参考文章地址:https://morvanzhou.github.io/tutorials/data-manipulat 阅读全文
posted @ 2019-02-13 10:45 TAMAYURA 阅读(3653) 评论(0) 推荐(1) 编辑
摘要:1.下载方式:直接下载Andaconda,简单快捷,减少准备环境的时间 2.图像 3.代码:可直接运行(有详细注释) 阅读全文
posted @ 2019-02-13 10:36 TAMAYURA 阅读(235) 评论(0) 推荐(0) 编辑
摘要:# -*- encoding:utf-8 -*- # Copyright (c) 2015 Shiye Inc. # All rights reserved. # # Author: ldq # Date: 2019/2/12 10:07 import numpy as np import pandas as pd dates = pd.date_range("20190101", per... 阅读全文
posted @ 2019-02-12 11:06 TAMAYURA 阅读(505) 评论(0) 推荐(0) 编辑
摘要:# -*- encoding:utf-8 -*- # Copyright (c) 2015 Shiye Inc. # All rights reserved. # # Author: ldq # Date: 2019/2/12 9:26 import numpy as np import pandas as pd s = pd.Series() ''' 创建一个空序列 Series([],... 阅读全文
posted @ 2019-02-12 10:02 TAMAYURA 阅读(313) 评论(0) 推荐(0) 编辑
摘要:# -*- encoding:utf-8 -*- # Copyright (c) 2015 Shiye Inc. # All rights reserved. # # Author: ldq # Date: 2019/2/11 14:57 import numpy as np a = np.arange(2, 14).reshape(3, 4) ''' reshape矩阵变维 [[ 2 ... 阅读全文
posted @ 2019-02-11 16:15 TAMAYURA 阅读(154) 评论(0) 推荐(0) 编辑
摘要:# -*- encoding:utf-8 -*- # Copyright (c) 2015 Shiye Inc. # All rights reserved. # # Author: ldq # Date: 2019/2/11 13:41 import numpy as np a = np.array([0, np.pi/2, np.pi, np.pi/3, np.pi/4]) b = n... 阅读全文
posted @ 2019-02-11 14:55 TAMAYURA 阅读(191) 评论(0) 推荐(0) 编辑

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