npm install --save matrix-magic
This library performs various transformations on matrices. This library does not do matrix operations (or more specifically, matrix multiplication), but serves to manipulate the shape of a matrix. It does stuff like this:
getMajorDiagonals()
[[a, b, c], [[e],
[d, a, b], --> [d, d],
[e, d, a]] [a, a, a],
[b, b],
[c]]
Here's another fun one:
getClockwiseSpiral()
[[1, 2, 3],
[8, 9, 4], --> [1, 2, 3, 4, 5, 6, 7, 8, 9]
[7, 6, 5]]
It also provides some utilities to work with matrices:
transpose()
[[a, b, c], [[a, a, a],
[a, b, c], --> [b, b, b],
[a, b, c]] [c, c, c]]
getMiddleCols()
[[*, 1, 2, 3, *], [[1, 2, 3],
[*, 4, 5, 6, *], --> [4, 5, 6],
[*, 7, 8, 9, *]] [7, 8, 9]]
Note that in the following functions, matrix
is an array of arrays, where each sub-array has the same length. Most of these functions will throw an error if the input is not a matrix.
Matrix Utilities <>
Returns the width of matrix
i.e. the number of columns.
Returns the height of matrix
i.e. the number of rows.
Returns and object {width, height}
, where width
is the number of columns in matrix
, and height
is the number of rows in matrix
.
Row Utilities <>
Returns the slice of the rows of matrix
from index start
to index stop - 1
, much like Array.prototype.slice()
.
Returns the top row of matrix
as a matrix.
Returns matrix
without the top row.
Returns the bottom row of matrix
as a matrix.
Returns matrix
without the bottom row.
Returns matrix
without top and bottom rows.
flipRows(matrix)
<>
Returns matrix
with the rows in reverse order.
Column Utilities <>
Returns the slice of the columns of matrix
from index start
to index stop - 1
, much like Array.prototype.slice()
.
Returns the left column of matrix
as a matrix.
Returns the right column of `matrix as a matrix.
Returns matrix
without the left column.
Returns matrix
without the right column.
Returns matrix
without the left and right columns.
flipCols(matrix)
<>
Returns matrix
with the columns in reverse order.
transpose(matrix)
<>
Returns matrix
with the rows and the columns flipped, i.e. the leftmost column is now the top row (and vice versa), and so on.
getMinorDiagonals(matrix)
<>
Returns an nArray (an array of arrays, not necessarily of equal length) of the minor diagonals of matrix
, starting from the top-left corner, down to the bottom-right corner.
getMajorDiagonals(matrix)
<>
Returns an nArray (an array of arrays, not necessarily of equal length) of the major diagonals of matrix
, starting from the bottom-left corner, up to the top-right corner.
getClockwiseSpiral(matrix)
<>
Returns an array of the entries of matrix
going clockwise from the top-left corner, spiraling into the center.
getCounterClockwiseSpiral(matrix)
<>
Returns an array of entries of matrix
going counter-clockwise from the top-left corner, spiraling into the center.
Decorators <>
doColumnOperation(fcn)
returns a function that transposes matrix
, applies fcn
, and then returns the resulting transpose.
This utility allows us to use row utilities on the columns. The definition is
const doColumnOperation = fcn => (mtx, ...args) => {
return transpose(fcn(transpose(mtx), ...args));
};
doMatrixCheck(fcn)
returns a function that evaluates fcn(nArray, ...args)
if nArray
is a matrix. If nArray
is not a matrix, it will throw an error.
matrixWrapper(fcn)
returns a function that evaluates fcn(nArray, ...args)
pending several checks. Those checks are:
- Check if it is the empty matrix
[[]]
- Check if it is a matrix with
doMatrixCheck
This library has no dependencies and consists of entirely pure functions. I mostly did this because I thought it would be fun (and it is!), and to learn about unit testing with jest.
If you'd like to contribute, then by all means, go ahead! Here are ways you can help out:
- Make snippets like the ones I made above to show what each function is doing.
- Contribute to the documentation! Describe what each function does (related to providing examples).
- Write a test! This would be a big help, and would be a great way to get into testing if you have yet to try it (and you should be testing your code).
- Re-write a test. Just because it's there doesn't mean it's a good test.
- Make a pull request for a new feature. This might be a little harder, as I'd like to adhere to a purely functional style. Talk to me if you're interested in adding something.
- Find and report bugs!