The Linspace,meshgrid,concatenate function in Python

Linspace can be used to implement sampling at the same interval.

numpy.linspace(start, stop, num=50, endpoint=true, retstep=false , dtype=none)

The return value is Numpy.ndarray.

Attach an example:

Np.linspace (1,10,10) Array ([  1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,  10.])

Because endpoint=true by default, the resulting number is in the form of this

$x _{k} = x_{min} + \frac{x_{max}-x_{min}}{num-1} * (k-1) $,${k}\in{[1,m]}$

It can be understood that this is a straight line, to be divided into the average num, so it is necessary to num-1 sub-division, the size of each partition is $\frac{x_{max}-x_{min}}{num-1}/$

Meshgrid function is used to, how to say, is used to carry out a joint combination, a two-dimensional plane example.

x = [[+]

y = [+]

After the Meshgrid will produce 6 points of coordinates, the screen of their own brain repair, Lai to draw.

The last function is concatenate, this function can be able to federate a number of matrices together, by default, according to Axia=0 is a column of the way to be combined, according to the need can be specified as Axis=1, or otherwise, it is very convenient to use, but, The matrix or array to be federated must be passed in the form of tuples.

That's it.

The Linspace,meshgrid,concatenate function in Python