Numpy.meshgrid Š NumPy V1.15 Manual — Num Py
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numpy.meshgrid — NumPy v1.15 Manual 1 von 3 https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.mes... numpy.meshgrid Previous topic Next topic Quick search sparse=False, copy=False 31.01.2019, 21:07 numpy.meshgrid — NumPy v1.15 Manual 2 von 3 https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.mes... Ni=len(xi) (N1, N2, N3,...Nn) (N2, N1, N3,...Nn) xv, yv = np.meshgrid(x, y, sparse=False, indexing='ij' ) for i in range(nx): for j in range(ny): # treat xv[i,j], yv[i,j] xv, yv = np.meshgrid(x, y, sparse=False, indexing='xy' ) for i in range(nx): for j in range(ny): # treat xv[j,i], yv[j,i] >>> 31.01.2019, 21:07 numpy.meshgrid — NumPy v1.15 Manual 3 von 3 https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.mes... >>> nx, ny = (3, 2) >>> x = np.linspace(0, 1, nx) >>> y = np.linspace(0, 1, ny) >>> xv, yv = np.meshgrid(x, y) >>> xv array([[ 0. , 0.5, 1. ], [ 0. , 0.5, 1. ]]) >>> yv array([[ 0., 0., 0.], [ 1., 1., 1.]]) >>> xv, yv = np.meshgrid(x, y, sparse=True) # make sp arse output arrays >>> xv array([[ 0. , 0.5, 1. ]]) >>> yv array([[ 0.], [ 1.]]) >>> x = np.arange(-5, 5, 0.1) >>> >>> y = np.arange(-5, 5, 0.1) >>> xx, yy = np.meshgrid(x, y, sparse=True) >>> z = np.sin(xx**2 + yy**2) / (xx**2 + yy**2) >>> h = plt.contourf(x,y,z) 31.01.2019, 21:07
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