When calling a Python® function, MATLAB® converts MATLAB data into types that best represent the data to the Python language. Pass Scalar Values to Python
MATLAB Input Argument Type — Scalar Values Only | Resulting Python py. Type | Examples |
---|
double (real) single (real)
| float
| Use Python Numeric Variables in MATLAB
| double (complex) single (complex)
| complex
| z = complex(1,2);
py.cmath.polar(z) ans =
Python tuple with no properties.
(2.23606797749979, 1.1071487177940904)
| int8 uint8 int16 uint16 int32
| int
|
| uint32 int64 uint64
| int long (version 2.7 only)
|
| NaN
| float("nan")
|
| Inf
| float("inf")
|
| string scalar char vector
| str
| Use Python str Variables in MATLAB
| <missing> value in string
| None
| py.list({string(missing),'Value'}) ans =
Python list with no properties.
[None, 'Value']
| logical
| bool
|
| Structure
| dict
| Use Python dict Variables in MATLAB
| Python object — py .type
| type
|
| function handle @ py .module .function , to Python functions only
| module .function
| Pass Python Function to Python map Function
|
Pass Vectors to Python
MATLAB Input Argument Type — 1 -by-N Vector | Resulting Python Type |
---|
double (real)
| array.array('d')
| single (real)
| array.array('f')
| int8 (real)
| array.array('b')
| uint8 (real)
| array.array('B')
| int16 (real)
| array.array('h')
| uint16 (real)
| array.array('H')
| int32 (real)
| array.array('i')
| uint32 (real)
| array.array('I')
| int64 (real) - Not supported for Python 2.7 on Windows®
| array.array('q')
| uint64 (real) - Not supported for Python 2.7 on Windows
| array.array('Q')
| double (complex) single (complex) int8 (complex) uint8 (complex) int16 (complex) uint16 (complex) int32 (complex) uint32 (complex)
| memoryview
| logical
| memoryview
| char vector string scalar
| str
| char array containing values greater than 127 (version 2.7 only)
| unicode
| cell vector
| tuple
|
Pass Matrices and Multidimensional Arrays to PythonThe Python language provides a protocol for accessing memory buffers like the data stored in a MATLAB array. MATLAB implements this Python buffer protocol for MATLAB arrays so that you can read MATLAB arrays directly from Python code, running in the same process as MATLAB,
without copying data. Many Python functions directly use the MATLAB array from Python without converting it to a native Python type. Some functions might require a specific type, such as numpy.ndarray , or might modify data in the array. These functions might accept the MATLAB array and copy the data into the required type. Other functions might display an error if you do not pass the required type. To pass data to these functions, first create the required Python type from the MATLAB data, then
pass it to the Python function. For example, to create array p to pass to a Python function that requires data of type numpy.array , type: p = py.numpy.array(magic(3)) p =
Python ndarray:
8 1 6
3 5 7
4 9 2
Use details function to view the properties of the Python object.
Use double function to convert to a MATLAB array. MATLAB sparse arrays are not supported in Python. See Unsupported MATLAB Types. Troubleshooting Argument Errors
If a Python function expects a specific Python multidimensional array type such as numpy.ndarray , then MATLAB displays a message with tips about how to proceed. If the problem might be due to passing a matrix or a multidimensional array as an argument, then do the following. Check the documentation for the Python function and find out the expected type for the argument. Create a Python object of that type in MATLAB and pass that to the Python function.
For example, suppose that the following code returns an error. a = [1 2; 3 4];
py.pyfunc(a) If the documentation of pyfunc specifies that the expected type is numpy.ndarray , then try this conversion: py.pyfunc(numpy.ndarray(a)) If the error persists, then determine the root cause by checking for additional information in the Python exception. Automatically Convert Python Types to MATLAB Types
MATLAB automatically converts these data types returned from Python functions into MATLAB types. To convert other types, see Explicitly Convert Python Types to MATLAB Types.
Python Return Type, as Displayed in Python | Resulting MATLAB Type — Scalar |
---|
float
| double
| complex
| Complex double
| int (version 2.7 only).
For Python versions 3.x int , you must convert explicitly. See Explicitly Convert Python Types to MATLAB Types.
| int64
| bool
| logical
| All other Python types — type
| Python object — py .type
|
Explicitly Convert Python Types to MATLAB TypesIf the output of a Python function implements the Python buffer protocol, such as numpy.ndarray , and it is numeric or logical, then MATLAB displays: Use these MATLAB functions to convert Python data types to MATLAB types.
Python Return Type or Protocol, as Displayed in MATLAB | MATLAB Conversion Function | Examples |
---|
py.str (version 3.x)
| string char
| Use Python str Variables in MATLAB
| py.str (version 2.7)
| string char uint8
|
| py.unicode
| string char
|
| Object with __str__ method
| char
| py.help('datetime.date.__str__') Help on wrapper_descriptor in datetime.date:
datetime.date.__str__ = __str__(self, /)
Return str(self). d = py.datetime.date(...
int32(2020),int32(3),int32(4));
char(d) ans = '2020-3-04'
| py.bytes
| uint8
|
| py.int
| double or int64
|
| py.long
| double or int64
|
| py.array.array py.numpy.ndarray py.memoryview
You can convert py.array.array of any format and py.memoryview objects to the MATLAB type you want.
| Numeric functions: double single int8 uint8 int16 uint16 int32 uint32 int64 uint64
| Use Python Numeric Variables in MATLAB, for example, Use Python Integer array Types in MATLAB.
| py.list and py.tuple
| double single int8 uint8 int16 uint16 int32 uint32 int64 uint64 logical string cell
| Use Python list Variables in MATLAB Use Python tuple Variables in MATLAB For more information, see Error Converting
Elements of list or tuple.
| Mapping protocol; for example, py.dict
| struct
| Use Python dict Variables in MATLAB
|
For example, a Python function returns this array p : p =
Python ndarray:
8 1 6
3 5 7
4 9 2
Use details function to view the properties of the Python object.
Use double function to convert to a MATLAB array. You can convert it to a MATLAB matrix P by typing: P = 3×3
8 1 6
3 5 7
4 9 2
If you need specific information about the Python properties of p , type: py.numpy.ndarray handle with properties:
T: [1×1 py.numpy.ndarray]
base: [1×1 py.NoneType]
ctypes: [1×1 py.numpy.core._internal._ctypes]
data: [1×3 py.memoryview]
dtype: [1×1 py.numpy.dtype[float64]]
flags: [1×1 py.numpy.flagsobj]
flat: [1×1 py.numpy.flatiter]
imag: [1×1 py.numpy.ndarray]
itemsize: [1×1 py.int]
nbytes: [1×1 py.int]
ndim: [1×1 py.int]
real: [1×1 py.numpy.ndarray]
shape: [1×2 py.tuple]
size: [1×1 py.int]
strides: [1×2 py.tuple]
Methods, Events, Superclasses If the Python module provides content in its __doc__ attribute, then MATLAB links to that information. Unsupported
MATLAB TypesThese MATLAB types are not supported in Python. Multidimensional char or cell arrays Structure arrays Sparse arrays categorical , table , containers.Map , datetime types
MATLAB objects meta.class (py .class )
- Use Python Numeric Variables in MATLAB
- Use Python str Variables in MATLAB
- Use Python list Variables in MATLAB
- Use Python tuple Variables in MATLAB
- Use Python dict Variables in MATLAB
|