Convert python numpy 2D array to matlab 2D array

What is the underlying python class of your ndarray? It doesn't seem to be recognized by double. Here, I create it with int8 and that works with double and int8 in MATLAB. Look at the display to see the hint or post back with more details

>> nd = py.numpy.zeros_like(int8(magic(4)))
nd = 
  Python ndarray:
   0   0   0   0
   0   0   0   0
   0   0   0   0
   0   0   0   0
    Use details function to view the properties of the Python object.
    Use int8 function to convert to a MATLAB array.
>> double(nd)
ans =
     0     0     0     0
     0     0     0     0
     0     0     0     0
     0     0     0     0
>> int8(nd)
ans =
  4×4 int8 matrix
   0   0   0   0
   0   0   0   0
   0   0   0   0
   0   0   0   0

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Stephen23 2022-2-23

在 MATLAB Online 中打开

Manju gurik's incorrectly posted "Answer" moved here:

Hi Sean,

Thank you for the reply.

My data is python double numpy array of array, its jagged array having different columns for each row, here is the data

[[-613.0, -2386.0, 571.0, 2391.0, -609.0, -2387.0, 605.0, 2391.0, -620.0, -2386.0, 587.0, 2391.0, -616.0, -2387.0, 586.0, 2390.0]
    [336.0, -38.0, -356.0, 39.0, 393.0, -36.0, -460.0, 40.0, 411.0, -36.0, -432.0, 39.0, 483.0, -35.0, -425.0, 39.0, 485.0, -38.0, -532.0, 39.0, 491.0, -35.0, -472.0, 40.0, 450.0, -36.0, -386.0, 39.0, 402.0, -36.0, -383.0, 38.0, 238.0, -35.0, -303.0, 39.0, 251.0 ]
    [1101.0, -3048.0, -1136.0, 3054.0, 1141.0, -3048.0, -1159.0]
    [974.0, -1457.0, -936.0, 1460.0, 843.0, -1457.0, -716.0, 1460.0, 625.0, -1457.0, -609.0, 1461.0, 608.0, -1457.0, -631.0, 1461.0, 790.0, -1457.0, -798.0]
    ]
details(inputCurve.curve_data)
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: [1×150 py.memoryview]
dtype: [1×1 py.numpy.dtype]
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: [1×1 py.tuple]
size: [1×1 py.int]
strides: [1×1 py.tuple]

Can you please help, how do i convert python numpy Jagged array to matab jagged array.

Thank you.

Manju gurik 2022-2-23

编辑：Manju gurik 2022-2-23

Hi Stephen,

can you please provide me some example to convert numpy array of array(jagged array) to matlab cell array.

Here is my numpy array returned from Python code

curve.curve_data

ans =

Python ndarray 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]

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: [1×1 py.tuple]

size: [1×1 py.int]

strides: [1×1 py.tuple]

[[-613.0, -2386.0, 571.0, 2391.0, -609.0, -2387.0, 605.0, 2391.0, -620.0, -2386.0, 587.0, 2391.0, -616.0, -2387.0, 586.0, 2390.0, -607.0, -2386.0, 599.0, 2391.0, -616.0, -2386.0, 590.0, 2391.0, -607.0, -2387.0, 589.0, 2391.0, -632.0, -2387.0, 571.0, 2390.0, -602.0, -2387.0, 577.0, 2391.0, -602.0, -2386.0, 599.0, 2391.0, -629.0, -2386.0, 584.0, 2391.0, -636.0, -2387.0, 587.0, 2390.0, -624.0, -2386.0, 579.0, 2390.0, -651.0, -2387.0, 560.0, 2390.0, -606.0, -2387.0, 592.0, 2391.0, -621.0, -2386.0, 583.0, 2391.0, -583.0, -2386.0, 558.0, 2390.0, -578.0, -2387.0, 575.0, 2391.0, -606.0, -2387.0, 592.0, 2390.0, -610.0, -2387.0, 595.0, 2390.0]

[336.0, -38.0, -356.0, 39.0, 393.0, -36.0, -460.0, 40.0, 411.0, -36.0, -432.0, 39.0, 483.0, -35.0, -425.0, 39.0, 485.0, -38.0, -532.0, 39.0, 491.0, -35.0, -472.0, 40.0, 450.0, -36.0, -386.0, 39.0, 402.0, -36.0, -383.0, 38.0, 238.0, -35.0, -303.0, 39.0, 251.0, -36.0, -224.0, 40.0, 126.0, -38.0, -170.0, 39.0, 93.0, -36.0, -73.0, 39.0, 97.0, -36.0, -82.0, 38.0, 51.0, -36.0, -8.0, 39.0, 39.0, -36.0, -73.0, 39.0, 125.0, -38.0, -113.0, 39.0, 101.0, -38.0, -126.0, 39.0, 215.0, -36.0, -240.0, 39.0, 258.0, -36.0, -285.0, 39.0, 380.0, -36.0, -416.0, 39.0]

[1101.0, -3048.0, -1136.0, 3054.0, 1141.0, -3048.0, -1159.0, 3053.0, 1137.0, -3048.0, -1110.0, 3054.0, 1140.0, -3049.0, -1137.0, 3053.0, 1148.0, -3047.0, -1143.0, 3054.0, 1141.0, -3047.0, -1118.0, 3054.0, 1142.0, -3048.0, -1065.0, 3054.0, 1120.0, -3047.0, -1121.0, 3053.0, 1098.0, -3048.0, -1123.0, 3054.0, 1170.0, -3048.0, -1190.0, 3053.0, 1115.0, -3048.0, -1153.0, 3054.0, 1118.0, -3048.0, -1140.0, 3054.0, 1172.0, -3047.0, -1122.0, 3053.0, 1124.0, -3048.0, -1192.0, 3054.0, 1103.0, -3048.0, -1118.0, 3053.0, 1138.0, -3048.0, -1089.0, 3054.0]]

when i do, double(curve.curve_data), i get this error

double(curve.curve_data)

Error using py.numpy.ndarray/double

Conversion of Python 'ndarray' type to MATLAB 'double' is only supported for real numbers and logicals.

Thank you.

Sean de Wolski 2022-2-24

在 MATLAB Online 中打开

Using gRPC through python or .NET seems perfectly logical to me. You'll just need a little data massaging after getting it back. I think I'd recommend going to the NaN-delimited segments approach, e.g. getting the ndarray you have into:

[1.2 2.3 nan 3.4 23 2.3 nan 1 1 1 1 1]

Manju gurik 2022-2-24

Ok. Got it. Thank you.

I understand that we dont have one available for matlab directly to connect to grpc services without Python or .NET.

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Convert python numpy 2D array to matlab 2D array

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Convert python numpy 2D array to matlab 2D array

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