Numpy.meshgrid Š NumPy V1.15 Manual — Num Py

numpy.meshgrid%20%E2%80%94%20NumPy%20v1.15%20Manual

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numpy.meshgrid

sparse=False, copy=False

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numpy.meshgrid — NumPy v1.15 Manual https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.mes...

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Ni=len(xi)

(N1, N2, N3,...Nn)

(N2, N1, N3,...Nn)

xv, yv = np.meshgrid(x, y, sparse=False, indexing='ij'

)

for iin range(nx):

for jin range(ny):

# treat xv[i,j], yv[i,j]

xv, yv = np.meshgrid(x, y, sparse=False, indexing='xy'

)

for iin range(nx):

for jin range(ny):

# treat xv[j,i], yv[j,i]

>>>

numpy.meshgrid — NumPy v1.15 Manual https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.mes...

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>>> 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)

>>>

numpy.meshgrid — NumPy v1.15 Manual https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.mes...

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