With Matrix 2D, you can perform matrix operations such as addition, subtraction, and multiplication in Dart. It is a simple and easy-to-use library inspired by Python's NumPy library.
-
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 likezeros()
andones
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 (this function is deprecated in favor ofcompare
) -
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 -
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 -
slice(list (List<List>), row_index [start, stop*], column_index [start, stop*]*)
Function used to slice two-dimensional arrays . (column_index and stop not required ) -
reverse(list,{axis})
Function used to reverse the array along the given axis. The function takes the following parameters.Axis along which the array is to be flipped. Default is 0
List list = [[1, 2],[1, 2]];
print(list.shape);
ouput:
[2,2]
List list = [[1, 2],[1, 2]];
print(list.flatten);
ouput:
[1,2,1,2]
List list = [[1, 2],[1, 2]];
print(list.transpose);
ouput:
[[1,1],[2,2]]
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]]
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]]
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]]
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]]
var arange = m2d.arange(8);
print(arange);
ouput:
[[0,1,2,3,4,5,6,7,8]]
var list = [[2,2],[2,2]];
var sum = m2d.sum(list);
print(sum);
ouput:
8
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]]
var linspace = m2d.linspace(2, 3, 5);
print(linspace);
ouput:
[2.0, 2.25, 2.5, 2.75, 3.0]
List list = [[1,1,1],[2,2,2],[3,3,3]];
print(list.diagonal);
ouput:
[1,2,3]
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]]
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]]
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]]
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']]
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]
var sliceArray = [
[1, 2, 3, 4, 5],
[6, 7, 8, 9, 10]
];
var newArray = m2d.slice(sliceArray, [0, 2], [1, 4]);
print(newArray);
ouput:
[[2, 3, 4],[7, 8, 9]]
If you want to contribute to this project, you are always welcome! Just make a pull request and I will review it as soon as possible.
If you have any problems or suggestions, please open an issue here.