matplotlib学习12之Subplot多合一显示2
代码：123456789101112131415161718192021222324252627282930313233# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport matplotlib.gridspec as gridsp
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matplotlib学习12之Subplot多合一显示
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代码：12345678910111213141516171819202122232425262728# -*- coding: utf-8 -*-import matplotlib.pyplot as pltfig = plt.figure()# 使用plt.subplot(2,1,1)将整个图像窗
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matplotlib学习11之3D图像
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代码：123456789101112131415161718192021222324# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as npfrom mpl_toolkits.mplot3d import Axe
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matplotlib学习9之Image图片
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代码：123456789101112131415# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as npa = np.linspace(0,1,9).reshape(3,3)# 三行三列的格子，a代表每一个值，图
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matplotlib学习9Contours等高线图
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代码：1234567891011121314151617181920212223242526# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as npdef f(x,y): # the height func
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matplotlib学习8之bar柱状图
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代码：1234567891011121314151617181920212223242526272829# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as npn = 10X = np.arange(n)# 均匀
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matplotlib学习7之散点图
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代码：1234567891011121314151617181920# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as npn = 1024# 高斯分布 http://blog.csdn.net/lanchunh
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matplotlib学习6之tick能见度
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代码：1234567891011121314151617181920212223242526272829303132333435363738# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as np# 产生数据x
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matplotlib学习5之标注annotate
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代码：123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051# -*- coding: utf-8 -*-import matplotlib.pyplot as plt
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matplotlib学习4之legend
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代码：123456789101112131415161718192021222324252627282930313233343536373839# -*- coding: utf-8 -*-import matplotlib.pyplot as pltimport numpy as np# 产生数据
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