matrix2d 1.0.0

A numpy-like package for mathematical 2d array functions and manipulations for dart

Matrix 2D 🧮

Matrix 2D is a lightweight dart library providing a subset of Python's numpy package. This package is written in pure dart 🔥.

Operations 😁

• addition(listA,listB) returns array of sums of corresponding elements of listA and listB of any dimensions.

• subtraction(listA,listB) returns array of differences of corresponding elements of listA and listB of any dimensions.

• division(listA,listB) divides listA by listB and returns new array

• dot(listA,listB) Function returns the dot product of two arrays. For 2-D vectors, it is the equivalent to matrix multiplication. For 1-D arrays, it is the inner product of the vectors. For N-dimensional arrays, it is a sum product over the last axis of a and the second-last axis of b.

• shape(list) returns dimensions of input array if the array is uniform or error otherwise.

• flatten(list) returns 1-D representation of any shape and any levels of nesting of list array.

• transpose(list) Reverse the axes of an array and returns the modified array

• arange(start, stop, steps) returns evenly spaced values within the half-open interval [start, stop) with optional steps argument.

• zeros(row,cols) Return a new array of given shape and type, with zeros

• ones(row,cols) Return a new array of given shape and type, with ones

• sum(list) Function returns the sum of array elements

• reshape(list)Reshaping means changing the shape of an array.

• diagonal(list) To find a diagonal element from a given matrix and gives output as one dimensional matrix.

• fill(row,cols,object) Just like zeros() and ones this function will return a new array of given shape, with given object(anything btw strings too)

• compareobject(list,operation,obj) compare values inside an array with given object and operations. function will return a new boolen array

• concatenate(listA,listB,{axis}) Concatenation refers to joining. This function is used to join two arrays of the same shape along a specified axis. The function takes the following parameters.Axis along which arrays have to be joined. Default is 0 concatenation of n number of arrays comming soon.....

• min(list,{axis}) Functions, used to find the minimum value for any given array

• max(list,{axis}) Functions, used to find the maximum value for any given array As soon as possible, more features will be available.

Examples

shape

List list = [[1, 2],[1, 2]];
print(list.shape);

ouput:

[2,2]

---

flatten

List list = [[1, 2],[1, 2]];
print(list.flatten);

ouput:

[1,2,1,2]

---

transpose

List list = [[1, 2],[1, 2]];
print(list.transpose);

ouput:

[[1,1],[2,2]]

---

addition

List list1 = [[1, 1],[1, 1]];
List list2 = [[2, 2],[2, 2]];
var addition = m2d.addition(list1,list2);
print(addition);

ouput:

[[3,3],[3,3]]

---

subtraction

List list1 = [[1, 1],[1, 1]];
List list2 = [[2, 2],[2, 2]];
var subtraction = m2d.subtraction(list1,list2);
print(subtraction);

ouput:

[[-1,-1],[-1,-1]]

---

division

List list1 = [[1, 1],[1, 1]];
List list2 = [[2, 2],[0, 2]];
var division = m2d.subtraction(division,list2);
print(division);

ouput:

[[0.5,Infinity],[0.5,0.5]]

---

dot operation

List list1 = [[1,2],[3,4]];
List list2 = [[11,12],[13,14]];
var dot = m2d.dot(division,list2);
print(dot);

ouput:

[[37, 40], [85, 92]]

---

arange

var arange = m2d.arange(8);
print(arange);

ouput:

[[0,1,2,3,4,5,6,7,8]]

---

sum

var list = [[2,2],[2,2]];
var sum = m2d.sum(list);
print(sum);

ouput:

8

---

reshape

List list = [[0, 1, 2, 3, 4, 5, 6, 7]];
list = list.reshape(2,4);
print(list);

ouput:

[[0, 1, 2, 3], [4, 5, 6, 7]]

---

linspace

var linspace = m2d.linspace(2, 3, 5);
print(linspace);

ouput:

[2.0, 2.25, 2.5, 2.75, 3.0]

---

diagonal

List list = [[1,1,1],[2,2,2],[3,3,3]];
print(list.diagonal);

ouput:

[1,2,3]

---

compareobject

var list = [[1,1,1],[2,2,2],[3,3,3]];
var compare = m2d.compare(list,'>',2);
print(compare);

ouput:

[[false, false, false], [false, false, false], [true, true, true]]

---

concatenate

axis 0

final l1 = [
    [1, 1, 1],
    [1, 1, 1],
    [1, 1, 1]
  ];
  final l2 = [
    [0, 0, 0],
    [0, 0, 0],
    [0, 0, 0],
    [0, 0, 0],
  ];
  final l3 = m2d.concatenate(l1, l2);
  print(l3);

ouput:

[[1, 1, 1], 
[1, 1, 1], 
[1, 1, 1], 
[0, 0, 0], 
[0, 0, 0],
[0, 0, 0], 
[0, 0, 0]]

axis 1

final a1 = [
    [1, 1, 1, 1],
    [1, 1, 1, 1],
    [1, 1, 1, 1]
  ];
  final a2 = [
    [0, 0, 0, 0, 0,0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0,0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0,0, 0, 0, 0, 0]
  ];

  final a3 = m2d.concatenate(a2, a1, axis: 1);
  print(a3);

ouput:

[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], 
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], 
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1]]

---

zeros,ones and fill

var zeros = m2d.zeros(2,2);
print(zeros);

var ones = m2d.ones(2,2);
print(ones);

var anything = m2d.fill(2,2,'i love dart');
print(anything);

ouput:

[[0,0],[1,1]]

[[1,1],[1,1]]

[['i love dart','i love dart'],['i love dart','i love dart']]

---

min max

 final numbers = [
    [1, 2, 3],
    [4, 5, 6],
    [7, 8, 9]
  ];
  print(numbers.min());
  print(numbers.min(axis: 1));
  print(numbers.min(axis: 0));
  print(numbers.max());
  print(numbers.max(axis: 1));
  print(numbers.max(axis: 0));

ouput:

[1]

[1, 4, 7]

[1, 2, 3]

[9]

[3, 6, 9]

[7, 8, 9]

---

for more examples vist Matrix2d Wiki

Contribution 🤓

Happy 😍 to recieve or provide contributions related to this package.

Features and bugs 🐛

Please file feature requests and bugs at the issue tracker.

Contact

if you have any questions , feel free to wite us on

• Twitter

• Mail