To visualize the result of meshgrid(), we can use matplotlib. import numpy as np import matplotlib.pyplot as plt # create 1D arrays x = np.array([1, 2, 3]) y = np.array([1, 2, 3]) # create a 2D grid using meshgrid X, Y = np.meshgrid(x, y) # create a scatter plot ...
importnumpyasnp# 创建两个1D数组x=np.arange(5)y=np.arange(3)# 使用meshgrid创建2D网格xx,yy=np.meshgrid(x,y)print("numpyarray.com example (xx):",xx)print("numpyarray.com example (yy):",yy) Python Copy Output: 这个例子展示了如何使用meshgrid创建两个二维数组,它们代表了一个3×5的网格的x...
x = y = np.linspace(0,1.0, 4) xm,ym = np.meshgrid(x,y) xm array([[0. , 0.33333333, 0.66666667, 1. ], [0. , 0.33333333, 0.66666667, 1. ], [0. , 0.33333333, 0.66666667, 1. ], [0. , 0.33333333, 0.66666667, 1. ]]) >>> ... 我想用一个由3个元素组成的数组来替换每一个...
As I suggested previously, meshgrid is creating coordinates that would allow us to create a Euclidean, x and y space. (At least, that’s the case in this example. It’s giving us coordinates for a 2D space. If we used higher-dimensional inputs, it might give us coordinates for a high...
The np.meshgrid function takes two 1D arrays and produces two 2D matrices corresponding to all pairs of (x, y) in the two arrays: In [155]: points = np.arange(-5, 5, 0.01) # 1000 equally spaced points In [156]: xs, ys = np.meshgrid(points, points) In [157]: ys Out[157]:...
fromtxt', 'mask_indices', 'mat', 'math', 'matmul', 'matrix', 'matrixlib', 'max', 'maximum', 'maximum_sctype', 'may_share_memory', 'mean', 'median', 'memmap', 'meshgrid', 'mgrid', 'min', 'min_scalar_type', 'minimum', 'mintypecode', 'mirr', 'mod', 'modf', '...
4.1. tofile、fromfile 4.2. save、load 4.3. savez 4.4. csv 五、 常用函数 5.1. 激活函数、e**x、开方sqrt() 5.2. 加减乘除 5.3. random 5.4. modf 5.5. 小补充:函数可以有多个返回结果、默认返回None 5.6. power() 5.7. meshgrid() 生成网格点 ...
meshgrid 这是只有在文档中才能看到的函数之一。因为大部分人难理解它。可以使用meshgrid从给定的X和Y数组创建每个可能的坐标对。这里有一个简单的例子: x = [1, 2, 3, 4] y = [3, 5, 6, 8] xx, yy = np.meshgrid(x, y) xx array([[1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, ...
假设文件中的x和y值直接对应于索引(就像在示例中一样)，您可以执行类似的操作：
1x,y = np.meshgrid(np.linspace(-1,1,10),np.linspace(-1,1,10))2d = np.sqrt(x*x+y*y)3sigma,mu = 1.0,0.04g = np.exp(-(d-mu)**2/(2.0*sigma**2))5print(g) 运行结果:(太长)略 57. How to randomly place p elements in a 2D array? (★★☆) ...