摘要：Animation动画 1 import numpy as np 2 from matplotlib import pyplot as plt 3 from matplotlib import animation 4 5 fig,ax = plt.subplots() 6 7 x = np.aran 阅读全文

摘要：主次坐标轴 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 x = np.arange(0,10,0.1) 5 y1 = 0.05*x**2 6 y2 = -1*y1 7 8 fig,ax1 = plt.subplots() 9 阅读全文

摘要：图中图 1 import matplotlib.pyplot as plt 2 import matplotlib.gridspec as gridspec 3 4 fig = plt.figure() 5 x = [1,2,3,4,5,6,7] 6 y = [1,3,4,2,5,8,6] 7 8 阅读全文

摘要：Subplot 分格显示 1 import matplotlib.pyplot as plt 2 import matplotlib.gridspec as gridspec 3 import numpy as np 4 5 #method 1:subplot2grid 6 ############ 阅读全文

摘要：Subplot 多合一显示 1 import matplotlib.pyplot as plt 2 3 plt.figure() 4 5 #用subplot创建小图 6 plt.subplot(2,2,1) #将整个fig分成两行两列，将图片嵌入第一个部分 7 plt.plot([0,1],[0,1 阅读全文

摘要：3D数据 1 import matplotlib.pyplot as plt 2 import numpy as np 3 from mpl_toolkits.mplot3d import Axes3D 4 5 fig = plt.figure() 6 ax = Axes3D(fig) 7 8 #X 阅读全文

摘要：Image 图片 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 #image data 5 a = np.array([0.313,0.365,0.423, 6 0.365,0.439,0.525, 7 0.423,0.525, 阅读全文

摘要：等高线图 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 def f(x,y): 5 #the height function 6 return (1-x/2+x**5+y**3)*np.exp(-x**2-y**2) 7 8 n 阅读全文

摘要：Bar 柱状图 详解：4.2Python数据处理篇之Matplotlib系列(二) plt.scatter()散点图 - 梦并不遥远 - 博客园 (cnblogs.com) 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 n = 阅读全文

摘要：scatter散点图 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 n = 1024 #1024个数据 5 X = np.random.normal(0,1,n) #正态分布 6 Y = np.random.normal(0,1 阅读全文

摘要：如何在图片中添加一个注解呢？ 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 x = np.linspace(-3,3,50) 5 y = 2*x+1 6 7 plt.figure(num=1,figsize=(8,5),) 8 阅读全文

摘要：设置legend图例 1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 5 x = np.linspace(-3,3,50) 6 y1 = 2*x+1 7 y2 = x**2 8 9 plt.figure() 10 11 12 pl 阅读全文

摘要：1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 x = np.linspace(-3,3,50) 5 y1 = 2*x+1 6 y2 = x**2 7 8 plt.figure() 9 plt.plot(x,y2) 10 plt. 阅读全文

摘要：1 import matplotlib.pyplot as plt 2 import numpy as np 3 4 x = np.linspace(-3,3,50) #用numpy取得50各点 从-3到3这个区间 平分50分 5 6 y1 = 2*x+1 7 y2 = x**2 8 9 plt.f 阅读全文

摘要：-matplotlib安装 -make surre you have installed numpy -matplotlib基本用法 -这里面的所有功能基本上在一个分模块——pyplot :import matplotlib.pylot as plt 1 import matplotlib.pypl 阅读全文