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pythonfunctionmultidimensional-arraynumpy
Nathan Fellman
Nathan Fellman

Reputation: 127428

How can I create a numpy array holding values of a multi-variable function?

I want to create an array holding a function f(x,y,z). If it were a function of one variable I'd do, for instance:

sinx = numpy.sin(numpy.linspace(-5,5,100))

to get sin(x) for x in [-5,5]

How can I do the same to get, for instance sin(x+y+z)?

Upvotes: 2

Views: 4196

Answers (3)

ignacio
ignacio

Reputation: 1

The numpy.mgrid function would work equally well:

x,y,z = numpy.mgrid[x_min:x_max:x_num, y_min:y_max:y_num, z_min:z_max:z_num]  
sinxyz = numpy.sin(x+y+z)

edit: to get it to work x_num, y_num and z_num have to be explicit numbers followed by j, e.g., x,y = numpy.mgrid[-1:1:10j, -1:1:10j]

Upvotes: -1

Andrew Marshall
Andrew Marshall

Reputation: 1569

xyz = numpy.mgrid[-5:5,-5:5,-5:5]
sinxyz = numpy.sin(xyz[0]+xyz[1]+xyz[2])

Upvotes: 4

Nathan Fellman
Nathan Fellman

Reputation: 127428

I seem to have found a way:

# define the range of x,y,z
x_range = numpy.linspace(x_min,x_max,x_num)
y_range = numpy.linspace(y_min,y_max,y_num)
z_range = numpy.linspace(z_min,z_max,z_num)

# create arrays x,y,z in the correct dimensions
# so that they create the grid
x,y,z = numpy.ix_(x_range,y_range,z_range)

# calculate the function of x, y and z
sinxyz = numpy.sin(x+y+z)

Upvotes: 5

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