作者：实事求是2502932297 | 来源：互联网 | 2023-07-15 18:30
原标题：Python和Matlab对照表Matlab vs. Python Create OperationMatlabPython1d array: size (n, )Not possibleA
原标题：Python和Matlab对照表
Matlab vs. Python
Create
Operation |
Matlab |
Python |
|---|
1d array: size (n, ) |
Not possible |
A = np.array([1, 2, 3]) |
Row vector: size (1, n) |
A = [1 2 3] |
A = np.array([1, 2, 3]).reshape(1, 3) |
Column vector: size (n, 1) |
A = [1; 2; 3] |
A = np.array([1, 2, 3]).reshape(3, 1) |
Integers from j to n with step size k |
A = j:k:n |
A = np.arange(j, n+1, k) |
Cr文章来源地址4772.htmleate a matrix |
A = [1 2; 3 4] |
A = np.array([[1文章来源地址4772.html, 2], [3, 4]]) |
Uniform random numbers |
A = rand(2, 2) |
A = np.random.rand(2, 2) |
random int |
randperm(5) |
shuffle(range(5));
np.random.permutation(5) |
Manipulating Vectors and Matrices
Operation |
Matlab |
Python |
|---|
Transpose |
A.’ |
A.T |
Complex conjugate transpose (Adjoint) |
A’ |
A.conj() |
Reshape |
A = reshape(1:10, 5, 2) |
A = A.reshape(5, 2) |
Convert matrix to vector |
A( : ) |
A = A.flatten() |
Repeat matrix |
repmat(A,www.yii666.com 3, 4) |
np.tile(A, (4, 3)) |
Preallocating/Similar |
x = rand(10);
y = zeros(size(x, 1), size(x, 2)) |
x = np.random.rand(3, 3);
y = np.empty_like(x)
# new dimsy = np.empty((2, 3)) |
Cat string |
A=[‘str1’,‘str2’]; |
A=‘str1’+‘str2’ |
Split |
B=split(A,‘-’) |
B=A.split(‘-’) |
concatenate |
C=[A,B];
C=cat(2,A,B);
C=[A;B] |
C=np.append(A,B,axis=1) # 只可以拼接两个; C=np.concatenate((A,B),aixs=1) # 可以拼接多个; C=np.hstack((A,B)) (适用于三个以上, 横向拼接); C=np.vstack((A,B)) (竖向拼接); |
swap axis |
permute(A,[2,1,3]) |
transpose(A,[2,1,3]) |
Seed setting |
rng(5) |
np.random.seed(5) |
reduce dimension |
squeeze(A) |
np.squeeze(A, axis=0) |
Increase dimension |
A2(:,:,1) = A |
A2= A(:,:,np.newaxis) |
Set operation |
intersection(A,B);
union(A,B);
setdiff(A,B) |
list(set(A)&set(B))
list(set(A)|set(B))
list(set(A)-set(B)) |
Accessing Vector/Matrix
Operation |
Matlab |
Python |
|---|
Get dimensions of matrix |
[nrow ncol] = size(A) |
nrow, ncol = np.shape(A) |
Step slicing |
A(1:2:6) |
A[1:7:2] |
Shape/Size |
size(A,1) |
np.size(A,0), A.size # 不加维度是所有元素个数
np.shape(A)[0], A.shape[0] # shape返回的是一个tuple |
Select |
A(A>0)=[]; |
A[A>0]=[]; |
index |
A(2) |
A[2] |
delete |
A(1:100)=[]; |
np.delete(A,np.s_[1:100],axis=0) |
Mathematical Operations
Operation |
Matlab |
Python |
|---|
Matrix multiplication |
A * B |
A @ B |
Element-wise multiplication |
A .* B |
A * B |
Matrix to a power |
A.^2 |
A**2 |
Inverse |
inv(A) A^(-1) |
np.linalg.inv(A) |
min of each column |
min(A, [], 1) |
np.amin(A, 0) |
min of entire matrix |
min(A( : )) |
np.amin(A) |
argmax |
vec2ind(A) |
argmax(A,axis=0) |
Memebr |
ismember(A,B) |
np.isin(A,B) |
Count |
tabulate(A) |
from collections import Counter
Counter(A) |
rounding |
ceil(A); around(A); floor(A); fix(A) |
np.ceil(A)
np.around(A)
np.floor(A)
np.fix(A) |
Programming
Operation |
Matlab |
Python |
|---|
Comment block |
%{ Comment block %} |
# Block # comment # following PEP8 |
Function: anonymous |
f = @(x) x^2 |
f = lambda x: x**2 |
logical expression |
if a == 1 or b == 3: |
if a == 1 |
Output omitting |
~ |
__ |
System
Operation |
Matlab |
Python |
|---|
Clear console command |
clc |
clear |
Clear var |
clear name1, name2 |
del name1, name2 |
clear all |
clear |
reset |
Mawww.yii666.comtlab与python的计数方向不同
>> A=[1,2,3;4,5,6;7,8,9]
A =
1 2 3
4 5 文章来源站点https://www.yii666.com/ 6
7 8 9
>> reshape(A,[1,9])
ans =
1 4 7 2 5 8 3 6 9
In [91]: A=np.array([[1,2,3],[4,5,6],[7,8,9]])
In [92]: np.reshape(A,[1,9])
Out[92]: array([[1, 2, 3, 4, 5, 6, 7, 8, 9]])
来源于：Python和Matlab对照表
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