{"width":"100%","published":"2018-02-28 09:10:27","author_url":"https://blog.hatena.ne.jp/iyoo14/","author_name":"iyoo14","provider_url":"https://hatena.blog","description":"%matplotlib inlinefrom scipy.stats import norm import matplotlib.pyplot as plt import numpy as npx = np.arange(-3, 3, 0.001)plt.plot(x, norm.pdf(x)) plt.show()#\u30d5\u30a1\u30a4\u30eb\u306b\u4fdd\u5b58 plt.plot(x, norm.pdf(x)) plt.plot(x, norm.pdf(x, 1.0, 0.5)) plt.savefig('MyPlot.png', format='png')#\u8ef8\u306e\u8abf\u6574 axes = plt.axes() #\u8ef8\u306e\u7bc4\u56f2 axe\u2026","type":"rich","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fiyoo14.hatenadiary.jp%2Fentry%2F2018%2F02%2F28%2F091027\" title=\"MatPlotLib - iyoo14\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","url":"https://iyoo14.hatenadiary.jp/entry/2018/02/28/091027","categories":[],"title":"MatPlotLib","blog_title":"iyoo14\u306e\u65e5\u8a18","image_url":null,"blog_url":"https://iyoo14.hatenadiary.jp/","provider_name":"Hatena Blog"}