matlab到python代码转换

时间:2012-07-26 17:35:38

标签: python matlab numpy scipy porting

由于缺少matlab,我试图将matlab代码转换为python。如果您能告诉我以下函数的python等价物,我将不胜感激:

letter2number_map('A') = 1;
number2letter_map(1) = 'A';
str2num()

strcmp()
trace()
eye()
getenv('STRING')

[MI_true, ~, ~] = function() What does ~ mean?
mslice
ones()

非常感谢您的帮助。

2 个答案:

答案 0 :(得分:2)

从字母转换为数字:ord("a") = 97

从数字转换为字母:chr(97) = 'a'

(您可以减去96以获得您正在寻找小写的结果,或64减去大写。)

将字符串解析为int:int("523") = 523

比较字符串(区分大小写):"Hello"=="Hello" = True

不区分大小写:"Hello".lower() == "hElLo".lower() = True

ones()[1]*ARRAY_SIZE

身份矩阵:[[int(x==y) for x in range(5)] for y in range(5)]

要制作二维数组,您需要使用numpy

编辑:

或者,您可以像这样制作一个5x5二维数组:[[1 for x in range(5)] for y in range(5)]

答案 1 :(得分:2)

我实际上并不知道matlab,但我可以回答其中一些(假设您已将numpy导入为np):

letter2number_map('A') = 1;  -> equivalent to a dictionary:  {'A':1}    
number2letter_map(1) = 'A';  -> equivalent to a dictionary:  {1:'A'}

str2num() -> maybe float(), although a look at the docs makes 
             it look more like eval -- Yuck. 
             (ast.literal_eval might be closest)
strcmp()  -> I assume a simple string comparison works here.  
             e.g. strcmp(a,b) -> a == b
trace()   -> np.trace()    #sum of the diagonal
eye()     -> np.eye()      #identity matrix (all zeros, but 1's on diagonal)
getenv('STRING')  -> os.environ['STRING'] (with os imported of course)
[MI_true, ~, ~] = function() -> Probably:  MI_true,_,_ = function()  
                                although the underscores could be any  
                                variable name you wanted. 
                                (Thanks Amro for providing this one)
mslice    -> ??? (can't even find documentation for that one)
ones()    -> np.ones()     #matrix/array of all 1's