## MATLAB to Python Data Type Mapping

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
single

float

Use Python Numeric Variables in MATLAB

Complex single
Complex double

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

array.array('d')

single

array.array('f')

int8

array.array('b')

uint8

array.array('B')

int16

array.array('h')

uint16

array.array('H')

int32

array.array('i')

uint32

array.array('I')

int64 (Not supported for Python 2.7 on Windows®)

array.array('q')

uint64 (Not supported for Python 2.7 on Windows)

array.array('Q')

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 Python

When you pass real numeric or logical arrays to a Python function, MATLAB automatically converts the data to a Python memoryview object. If the output of a Python function implements the Python buffer protocol and is real numeric or logical, then MATLAB displays:

• The actual Python type

• The underlying data

• The corresponding MATLAB conversion function. Use this function to fully convert the Python object to a MATLAB array.

For example, suppose that you call a Python function in a module pyModule that returns a variable of type pyType with these values:

p =
Python pyType:

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.

To convert p to a MATLAB matrix P, type:

P = double(p)
P = 3×3
8     1     6
3     5     7
4     9     2

If you need specific information about the Python properties of p, type:

details(p)
py.pyModule.pyType handle with properties:

T: [1×1 py.pyModule.pyType]
base: [1×1 py.NoneType]
ctypes: [1×1 py.pyModule.core._internal._ctypes]
data: [1×3 py.memoryview]
dtype: [1×1 py.pyModule.dtype]
flags: [1×1 py.pyModule.flagsobj]
flat: [1×1 py.pyModule.flatiter]
imag: [1×1 py.pyModule.pyType]
itemsize: [1×1 py.int]
nbytes: [1×1 py.int]
ndim: [1×1 py.int]
real: [1×1 py.pyModule.pyType]
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.

Using Python memoryview objects allows Python to read the MATLAB data without making a copy of the MATLAB data. For information about memoryview objects and buffer protocol, search for these terms at https://www.python.org/doc/.

MATLAB complex and 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, 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.

1. Check the documentation for the Python function and find out the expected type for the argument.

2. 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 pyType, then try this conversion:

py.pyfunc(pyType(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 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 Types

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

You can convert py.array.array of any format to the MATLAB type you want.

numeric
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.

Sequence protocol; for example, py.list and py.tuple

cell

Use Python list Variables in MATLAB
Use Python tuple Variables in MATLAB

Mapping protocol; for example, py.dict

struct

Use Python dict Variables in MATLAB

### Unsupported MATLAB Types

These MATLAB types are not supported in Python.

• Multidimensional char or cell arrays

• Structure arrays

• Complex, scalar integers or arrays

• Sparse arrays

• categorical,
table,
containers.Map,
datetime types

• MATLAB objects

• meta.class (py.class)