How does Python interpolate matrices? 50

First you need to create an array before you can do anything else with it.

We can create an array by passing the python sequence object to the array function, and if we pass a multi-layer nested sequence, we will create a multidimensional array (variable c in the example below).

a = , 2, 3, 4])

b = , 6, 7, 8))

c = , 2, 3, 4],[4, 5, 6, 7], 7, 8, 9, 10]])

barray([5, 6, 7, 8])

carray([[1, 2, 3, 4],4, 5, 6, 7],7, 8, 9, 10]])

dtype('int32')

The size of the array can be obtained by its shape property:

I only know how to interpolate images now, and I also want to know how to interpolate matrices to a specified size:

import

def resizeleepic(filename):

inim =

box = (3, 3, 2820, 12941) upper left and lower right.

ouim =

ouim = , 12944), width and height.

There doesn't seem to be a downsampled function in scipy, hmm. Is it because it's too simple, but it seems that it can be done with a loop, but if you think of a vector as a time series, it is very convenient to use the date range module in pandas to sample at different frequencies, and many operations on files are performed using pandas.

Are you sure you know what you're going to say in the second half?

Method 1:

1. As shown in the figure, we have created a matrix, generally if there is a matrix in our operation process, then it will appear in the workspace, as shown in the figure, we can double-click the matrix that needs to be changed in the workspace.

2. Then select the single matrix element that needs to be changed in the pop-up **, and make changes.

Method 2: 1. We can also use statements to assign values to a single element of the matrix. We can do this by the following statement:

a(1，2)=100

2. What happens if the number of rows and columns we input is greater than the original matrix? We can try, we enter a(5,6)=100 and see the result.

3. We can see that the matrix will automatically expand into a new matrix with 5 rows and 6 columns, and the rest of the assigned areas will automatically be 0, and we can also expand the matrix through this method.

I also studied for a long time, and finally found a problem.

Functions are correct. The mistake is in defining earth.

earth = [[0]*n]*n # does not workearth = [[0,0,0],[0,0,0],[0,0,0]] # work

If you want to use matrix operations in Python.

You need to know about the numpy library.

The conditions are insufficient. There are 9 unknowns, 3 equations, and even with the positive definite constraint, the total constraint is still too little. It is better to add two more sets of equations, i.e. to two more sets of xy.

I don't know if there is.,Maybe there will be a python math-related library, but what you wrote is not right.,Take 3 values.,It should be 4 equals.。

> def junfen(start,end,num):

k = (end - start)/(num + 1)return set([start + item * k for item in range(1,num + 1)])