Is there a keyword in Matlab that is roughly equivalent to None
in python?
I am trying to use it to mark an optional argument to a function. I am translating the following Python code
def f(x,y=None):
if y == None:
return g(x)
else:
return h(x,y)
into Matlab
function rtrn = f(x,y)
if y == []:
rtrn = g(x);
else
rtrn = h(x,y);
end;
end
As you can see currently I am using []
as None
. Is there a better way to do this?
The biggest technical difference between MATLAB and Python is that in MATLAB, everything is treated as an array, while in Python everything is a more general object. For instance, in MATLAB, strings are arrays of characters or arrays of strings, while in Python, strings have their own type of object called str .
Use the null function to calculate orthonormal and rational basis vectors for the null space of a matrix.
MATLAB® and NumPy have a lot in common, but NumPy was created to work with Python, not to be a MATLAB clone. This guide will help MATLAB users get started with NumPy.
MATLAB has very strong mathematical calculation ability, Python is difficult to do. Python has no matrix support, but the NumPy library can be achieved. MATLAB is particularly good at signal processing, image processing, in which Python is not strong, and performance is also much worse.
in your specific case. you may use nargin
to determine how many input arguments here provided when calling the function.
from the MATLAB documentation:
The nargin and nargout functions enable you to determine how many input and output arguments a function is called with. You can then use conditional statements to perform different tasks depending on the number of arguments. For example,
function c = testarg1(a, b)
if (nargin == 1)
c = a .^ 2;
elseif (nargin == 2)
c = a + b;
end
Given a single input argument, this function squares the input value. Given two inputs, it adds them together.
NaN
while not equivalent, often serves the similar purpose.
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