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How many rows and columns are in an m x n matrix?


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26












$begingroup$


A simple question: By definition, does an m x n matrix have m rows and n columns, or is it vice versa?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Yes it's always "{number of rows} by {number of columns}"
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:15








  • 2




    $begingroup$
    You can name the variables how you like though. Curiously "m by n matrix" is about twice as common as "n by m matrix" in Google search results.
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:19






  • 1




    $begingroup$
    @ColonelPanic, that's probably because for a matrix $A$ operating on an $n$ dimensional vector $mathcal{x}$ (i.e. $A mathbf{x} = mathbf{y}$) $mathbf{y}$ is $m$ dimensional. In other words, it puts the input dimension before the output dimension alphabetically.
    $endgroup$
    – Shep
    Apr 3 '15 at 1:42


















26












$begingroup$


A simple question: By definition, does an m x n matrix have m rows and n columns, or is it vice versa?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Yes it's always "{number of rows} by {number of columns}"
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:15








  • 2




    $begingroup$
    You can name the variables how you like though. Curiously "m by n matrix" is about twice as common as "n by m matrix" in Google search results.
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:19






  • 1




    $begingroup$
    @ColonelPanic, that's probably because for a matrix $A$ operating on an $n$ dimensional vector $mathcal{x}$ (i.e. $A mathbf{x} = mathbf{y}$) $mathbf{y}$ is $m$ dimensional. In other words, it puts the input dimension before the output dimension alphabetically.
    $endgroup$
    – Shep
    Apr 3 '15 at 1:42
















26












26








26


2



$begingroup$


A simple question: By definition, does an m x n matrix have m rows and n columns, or is it vice versa?










share|cite|improve this question









$endgroup$




A simple question: By definition, does an m x n matrix have m rows and n columns, or is it vice versa?







matrices






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Sep 6 '12 at 2:15









Anderson GreenAnderson Green

40571322




40571322












  • $begingroup$
    Yes it's always "{number of rows} by {number of columns}"
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:15








  • 2




    $begingroup$
    You can name the variables how you like though. Curiously "m by n matrix" is about twice as common as "n by m matrix" in Google search results.
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:19






  • 1




    $begingroup$
    @ColonelPanic, that's probably because for a matrix $A$ operating on an $n$ dimensional vector $mathcal{x}$ (i.e. $A mathbf{x} = mathbf{y}$) $mathbf{y}$ is $m$ dimensional. In other words, it puts the input dimension before the output dimension alphabetically.
    $endgroup$
    – Shep
    Apr 3 '15 at 1:42




















  • $begingroup$
    Yes it's always "{number of rows} by {number of columns}"
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:15








  • 2




    $begingroup$
    You can name the variables how you like though. Curiously "m by n matrix" is about twice as common as "n by m matrix" in Google search results.
    $endgroup$
    – Colonel Panic
    Feb 18 '15 at 16:19






  • 1




    $begingroup$
    @ColonelPanic, that's probably because for a matrix $A$ operating on an $n$ dimensional vector $mathcal{x}$ (i.e. $A mathbf{x} = mathbf{y}$) $mathbf{y}$ is $m$ dimensional. In other words, it puts the input dimension before the output dimension alphabetically.
    $endgroup$
    – Shep
    Apr 3 '15 at 1:42


















$begingroup$
Yes it's always "{number of rows} by {number of columns}"
$endgroup$
– Colonel Panic
Feb 18 '15 at 16:15






$begingroup$
Yes it's always "{number of rows} by {number of columns}"
$endgroup$
– Colonel Panic
Feb 18 '15 at 16:15






2




2




$begingroup$
You can name the variables how you like though. Curiously "m by n matrix" is about twice as common as "n by m matrix" in Google search results.
$endgroup$
– Colonel Panic
Feb 18 '15 at 16:19




$begingroup$
You can name the variables how you like though. Curiously "m by n matrix" is about twice as common as "n by m matrix" in Google search results.
$endgroup$
– Colonel Panic
Feb 18 '15 at 16:19




1




1




$begingroup$
@ColonelPanic, that's probably because for a matrix $A$ operating on an $n$ dimensional vector $mathcal{x}$ (i.e. $A mathbf{x} = mathbf{y}$) $mathbf{y}$ is $m$ dimensional. In other words, it puts the input dimension before the output dimension alphabetically.
$endgroup$
– Shep
Apr 3 '15 at 1:42






$begingroup$
@ColonelPanic, that's probably because for a matrix $A$ operating on an $n$ dimensional vector $mathcal{x}$ (i.e. $A mathbf{x} = mathbf{y}$) $mathbf{y}$ is $m$ dimensional. In other words, it puts the input dimension before the output dimension alphabetically.
$endgroup$
– Shep
Apr 3 '15 at 1:42












4 Answers
4






active

oldest

votes


















22












$begingroup$

An $m times n$ matrix has $m$ rows and $n$ columns.






share|cite|improve this answer











$endgroup$













  • $begingroup$
    can you provide a reference/citation for this?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:16






  • 3




    $begingroup$
    All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
    $endgroup$
    – James
    Sep 6 '12 at 2:17












  • $begingroup$
    You said "almost all". Were there any exceptions?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:19






  • 1




    $begingroup$
    Sorry, I meant all.
    $endgroup$
    – James
    Sep 6 '12 at 2:20








  • 1




    $begingroup$
    @IvanBalashov In Numpy the first dimension is the row, not the column.
    $endgroup$
    – bfontaine
    Oct 22 '16 at 7:36



















1












$begingroup$

I suggest you always to check the notation on the book which you are using. I found sometimes this notation with different meaning. In advanced books, for example. Even the notation for linear maps as matrices. Sometimes they write $xT$.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    What does xT refer to in this case?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:36










  • $begingroup$
    It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
    $endgroup$
    – Sigur
    Sep 6 '12 at 2:38



















1












$begingroup$

Always check and make sure you have the right convention for the occasion. Usually m x n is rows x columns. I like to remember this as being in REVERSE alphabetical order - Rows by Columns, or R first then C. However, in Boyce & DiPrima's book "Elementary Differential Equations and Boundary Value Problems" an m x n matrix has m vertical columns and n horizontal rows.

However, when addressing elements within a matrix, it's the opposite. The element "a sub i,j" references the element in the ith row and jth column.
Lesson? Always check to make sure you have the correct convention!






share|cite|improve this answer









$endgroup$













  • $begingroup$
    so much for the "universal language of mathematics" :(
    $endgroup$
    – Robert Lugg
    Jan 21 at 17:32



















1












$begingroup$

Yes... It's m-rows and n-Columns.

Here is an example, how you can generate and read a matrix in JavaScript :)



let createMatrix = (m, n) => {
let [row, column] = [[], []],
rowColumn = m * n
for (let i = 1; i <= rowColumn; i++) {
column.push(i)
if (i % n === 0) {
row.push(column)
column = []
}
}
return row
}

let setColorForEachElement = (matrix, colors) => {
let row = matrix.map(row => {
let column = row.map((column, key) => {
return { number: column, color: colors[key] }
})
return column
})
return row
}

const colors = ['red', 'green', 'blue', 'purple', 'brown', 'yellow', 'orange', 'grey']
const matrix = createMatrix(6, 8)
const colorApi = setColorForEachElement(matrix, colors)

let table ='<table>'
colorApi.forEach(row => {
table+='<tr>'
row.forEach(column => table +=`<td style='background: ${column.color};'>${column.number}<td>` )
table+='</tr>'
})

document.write(table);





share|cite|improve this answer











$endgroup$













    Your Answer





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    4 Answers
    4






    active

    oldest

    votes








    4 Answers
    4






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    22












    $begingroup$

    An $m times n$ matrix has $m$ rows and $n$ columns.






    share|cite|improve this answer











    $endgroup$













    • $begingroup$
      can you provide a reference/citation for this?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:16






    • 3




      $begingroup$
      All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
      $endgroup$
      – James
      Sep 6 '12 at 2:17












    • $begingroup$
      You said "almost all". Were there any exceptions?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:19






    • 1




      $begingroup$
      Sorry, I meant all.
      $endgroup$
      – James
      Sep 6 '12 at 2:20








    • 1




      $begingroup$
      @IvanBalashov In Numpy the first dimension is the row, not the column.
      $endgroup$
      – bfontaine
      Oct 22 '16 at 7:36
















    22












    $begingroup$

    An $m times n$ matrix has $m$ rows and $n$ columns.






    share|cite|improve this answer











    $endgroup$













    • $begingroup$
      can you provide a reference/citation for this?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:16






    • 3




      $begingroup$
      All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
      $endgroup$
      – James
      Sep 6 '12 at 2:17












    • $begingroup$
      You said "almost all". Were there any exceptions?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:19






    • 1




      $begingroup$
      Sorry, I meant all.
      $endgroup$
      – James
      Sep 6 '12 at 2:20








    • 1




      $begingroup$
      @IvanBalashov In Numpy the first dimension is the row, not the column.
      $endgroup$
      – bfontaine
      Oct 22 '16 at 7:36














    22












    22








    22





    $begingroup$

    An $m times n$ matrix has $m$ rows and $n$ columns.






    share|cite|improve this answer











    $endgroup$



    An $m times n$ matrix has $m$ rows and $n$ columns.







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    edited Aug 13 '15 at 21:52









    Zhanxiong

    8,94911032




    8,94911032










    answered Sep 6 '12 at 2:16









    JamesJames

    62511421




    62511421












    • $begingroup$
      can you provide a reference/citation for this?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:16






    • 3




      $begingroup$
      All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
      $endgroup$
      – James
      Sep 6 '12 at 2:17












    • $begingroup$
      You said "almost all". Were there any exceptions?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:19






    • 1




      $begingroup$
      Sorry, I meant all.
      $endgroup$
      – James
      Sep 6 '12 at 2:20








    • 1




      $begingroup$
      @IvanBalashov In Numpy the first dimension is the row, not the column.
      $endgroup$
      – bfontaine
      Oct 22 '16 at 7:36


















    • $begingroup$
      can you provide a reference/citation for this?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:16






    • 3




      $begingroup$
      All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
      $endgroup$
      – James
      Sep 6 '12 at 2:17












    • $begingroup$
      You said "almost all". Were there any exceptions?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:19






    • 1




      $begingroup$
      Sorry, I meant all.
      $endgroup$
      – James
      Sep 6 '12 at 2:20








    • 1




      $begingroup$
      @IvanBalashov In Numpy the first dimension is the row, not the column.
      $endgroup$
      – bfontaine
      Oct 22 '16 at 7:36
















    $begingroup$
    can you provide a reference/citation for this?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:16




    $begingroup$
    can you provide a reference/citation for this?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:16




    3




    3




    $begingroup$
    All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
    $endgroup$
    – James
    Sep 6 '12 at 2:17






    $begingroup$
    All the textbooks i have read (both cs and math) have used this notation. For example, Strang's Introduction to Linear Algebra 4th.
    $endgroup$
    – James
    Sep 6 '12 at 2:17














    $begingroup$
    You said "almost all". Were there any exceptions?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:19




    $begingroup$
    You said "almost all". Were there any exceptions?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:19




    1




    1




    $begingroup$
    Sorry, I meant all.
    $endgroup$
    – James
    Sep 6 '12 at 2:20






    $begingroup$
    Sorry, I meant all.
    $endgroup$
    – James
    Sep 6 '12 at 2:20






    1




    1




    $begingroup$
    @IvanBalashov In Numpy the first dimension is the row, not the column.
    $endgroup$
    – bfontaine
    Oct 22 '16 at 7:36




    $begingroup$
    @IvanBalashov In Numpy the first dimension is the row, not the column.
    $endgroup$
    – bfontaine
    Oct 22 '16 at 7:36











    1












    $begingroup$

    I suggest you always to check the notation on the book which you are using. I found sometimes this notation with different meaning. In advanced books, for example. Even the notation for linear maps as matrices. Sometimes they write $xT$.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      What does xT refer to in this case?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:36










    • $begingroup$
      It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
      $endgroup$
      – Sigur
      Sep 6 '12 at 2:38
















    1












    $begingroup$

    I suggest you always to check the notation on the book which you are using. I found sometimes this notation with different meaning. In advanced books, for example. Even the notation for linear maps as matrices. Sometimes they write $xT$.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      What does xT refer to in this case?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:36










    • $begingroup$
      It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
      $endgroup$
      – Sigur
      Sep 6 '12 at 2:38














    1












    1








    1





    $begingroup$

    I suggest you always to check the notation on the book which you are using. I found sometimes this notation with different meaning. In advanced books, for example. Even the notation for linear maps as matrices. Sometimes they write $xT$.






    share|cite|improve this answer









    $endgroup$



    I suggest you always to check the notation on the book which you are using. I found sometimes this notation with different meaning. In advanced books, for example. Even the notation for linear maps as matrices. Sometimes they write $xT$.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Sep 6 '12 at 2:28









    SigurSigur

    4,50311736




    4,50311736












    • $begingroup$
      What does xT refer to in this case?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:36










    • $begingroup$
      It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
      $endgroup$
      – Sigur
      Sep 6 '12 at 2:38


















    • $begingroup$
      What does xT refer to in this case?
      $endgroup$
      – Anderson Green
      Sep 6 '12 at 2:36










    • $begingroup$
      It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
      $endgroup$
      – Sigur
      Sep 6 '12 at 2:38
















    $begingroup$
    What does xT refer to in this case?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:36




    $begingroup$
    What does xT refer to in this case?
    $endgroup$
    – Anderson Green
    Sep 6 '12 at 2:36












    $begingroup$
    It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
    $endgroup$
    – Sigur
    Sep 6 '12 at 2:38




    $begingroup$
    It is the notation for the image of $x$ by the linear map $T$. Usually we write $T(x)$ or $Tx$.
    $endgroup$
    – Sigur
    Sep 6 '12 at 2:38











    1












    $begingroup$

    Always check and make sure you have the right convention for the occasion. Usually m x n is rows x columns. I like to remember this as being in REVERSE alphabetical order - Rows by Columns, or R first then C. However, in Boyce & DiPrima's book "Elementary Differential Equations and Boundary Value Problems" an m x n matrix has m vertical columns and n horizontal rows.

    However, when addressing elements within a matrix, it's the opposite. The element "a sub i,j" references the element in the ith row and jth column.
    Lesson? Always check to make sure you have the correct convention!






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      so much for the "universal language of mathematics" :(
      $endgroup$
      – Robert Lugg
      Jan 21 at 17:32
















    1












    $begingroup$

    Always check and make sure you have the right convention for the occasion. Usually m x n is rows x columns. I like to remember this as being in REVERSE alphabetical order - Rows by Columns, or R first then C. However, in Boyce & DiPrima's book "Elementary Differential Equations and Boundary Value Problems" an m x n matrix has m vertical columns and n horizontal rows.

    However, when addressing elements within a matrix, it's the opposite. The element "a sub i,j" references the element in the ith row and jth column.
    Lesson? Always check to make sure you have the correct convention!






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      so much for the "universal language of mathematics" :(
      $endgroup$
      – Robert Lugg
      Jan 21 at 17:32














    1












    1








    1





    $begingroup$

    Always check and make sure you have the right convention for the occasion. Usually m x n is rows x columns. I like to remember this as being in REVERSE alphabetical order - Rows by Columns, or R first then C. However, in Boyce & DiPrima's book "Elementary Differential Equations and Boundary Value Problems" an m x n matrix has m vertical columns and n horizontal rows.

    However, when addressing elements within a matrix, it's the opposite. The element "a sub i,j" references the element in the ith row and jth column.
    Lesson? Always check to make sure you have the correct convention!






    share|cite|improve this answer









    $endgroup$



    Always check and make sure you have the right convention for the occasion. Usually m x n is rows x columns. I like to remember this as being in REVERSE alphabetical order - Rows by Columns, or R first then C. However, in Boyce & DiPrima's book "Elementary Differential Equations and Boundary Value Problems" an m x n matrix has m vertical columns and n horizontal rows.

    However, when addressing elements within a matrix, it's the opposite. The element "a sub i,j" references the element in the ith row and jth column.
    Lesson? Always check to make sure you have the correct convention!







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Jun 4 '15 at 21:56









    SeanSean

    211




    211












    • $begingroup$
      so much for the "universal language of mathematics" :(
      $endgroup$
      – Robert Lugg
      Jan 21 at 17:32


















    • $begingroup$
      so much for the "universal language of mathematics" :(
      $endgroup$
      – Robert Lugg
      Jan 21 at 17:32
















    $begingroup$
    so much for the "universal language of mathematics" :(
    $endgroup$
    – Robert Lugg
    Jan 21 at 17:32




    $begingroup$
    so much for the "universal language of mathematics" :(
    $endgroup$
    – Robert Lugg
    Jan 21 at 17:32











    1












    $begingroup$

    Yes... It's m-rows and n-Columns.

    Here is an example, how you can generate and read a matrix in JavaScript :)



    let createMatrix = (m, n) => {
    let [row, column] = [[], []],
    rowColumn = m * n
    for (let i = 1; i <= rowColumn; i++) {
    column.push(i)
    if (i % n === 0) {
    row.push(column)
    column = []
    }
    }
    return row
    }

    let setColorForEachElement = (matrix, colors) => {
    let row = matrix.map(row => {
    let column = row.map((column, key) => {
    return { number: column, color: colors[key] }
    })
    return column
    })
    return row
    }

    const colors = ['red', 'green', 'blue', 'purple', 'brown', 'yellow', 'orange', 'grey']
    const matrix = createMatrix(6, 8)
    const colorApi = setColorForEachElement(matrix, colors)

    let table ='<table>'
    colorApi.forEach(row => {
    table+='<tr>'
    row.forEach(column => table +=`<td style='background: ${column.color};'>${column.number}<td>` )
    table+='</tr>'
    })

    document.write(table);





    share|cite|improve this answer











    $endgroup$


















      1












      $begingroup$

      Yes... It's m-rows and n-Columns.

      Here is an example, how you can generate and read a matrix in JavaScript :)



      let createMatrix = (m, n) => {
      let [row, column] = [[], []],
      rowColumn = m * n
      for (let i = 1; i <= rowColumn; i++) {
      column.push(i)
      if (i % n === 0) {
      row.push(column)
      column = []
      }
      }
      return row
      }

      let setColorForEachElement = (matrix, colors) => {
      let row = matrix.map(row => {
      let column = row.map((column, key) => {
      return { number: column, color: colors[key] }
      })
      return column
      })
      return row
      }

      const colors = ['red', 'green', 'blue', 'purple', 'brown', 'yellow', 'orange', 'grey']
      const matrix = createMatrix(6, 8)
      const colorApi = setColorForEachElement(matrix, colors)

      let table ='<table>'
      colorApi.forEach(row => {
      table+='<tr>'
      row.forEach(column => table +=`<td style='background: ${column.color};'>${column.number}<td>` )
      table+='</tr>'
      })

      document.write(table);





      share|cite|improve this answer











      $endgroup$
















        1












        1








        1





        $begingroup$

        Yes... It's m-rows and n-Columns.

        Here is an example, how you can generate and read a matrix in JavaScript :)



        let createMatrix = (m, n) => {
        let [row, column] = [[], []],
        rowColumn = m * n
        for (let i = 1; i <= rowColumn; i++) {
        column.push(i)
        if (i % n === 0) {
        row.push(column)
        column = []
        }
        }
        return row
        }

        let setColorForEachElement = (matrix, colors) => {
        let row = matrix.map(row => {
        let column = row.map((column, key) => {
        return { number: column, color: colors[key] }
        })
        return column
        })
        return row
        }

        const colors = ['red', 'green', 'blue', 'purple', 'brown', 'yellow', 'orange', 'grey']
        const matrix = createMatrix(6, 8)
        const colorApi = setColorForEachElement(matrix, colors)

        let table ='<table>'
        colorApi.forEach(row => {
        table+='<tr>'
        row.forEach(column => table +=`<td style='background: ${column.color};'>${column.number}<td>` )
        table+='</tr>'
        })

        document.write(table);





        share|cite|improve this answer











        $endgroup$



        Yes... It's m-rows and n-Columns.

        Here is an example, how you can generate and read a matrix in JavaScript :)



        let createMatrix = (m, n) => {
        let [row, column] = [[], []],
        rowColumn = m * n
        for (let i = 1; i <= rowColumn; i++) {
        column.push(i)
        if (i % n === 0) {
        row.push(column)
        column = []
        }
        }
        return row
        }

        let setColorForEachElement = (matrix, colors) => {
        let row = matrix.map(row => {
        let column = row.map((column, key) => {
        return { number: column, color: colors[key] }
        })
        return column
        })
        return row
        }

        const colors = ['red', 'green', 'blue', 'purple', 'brown', 'yellow', 'orange', 'grey']
        const matrix = createMatrix(6, 8)
        const colorApi = setColorForEachElement(matrix, colors)

        let table ='<table>'
        colorApi.forEach(row => {
        table+='<tr>'
        row.forEach(column => table +=`<td style='background: ${column.color};'>${column.number}<td>` )
        table+='</tr>'
        })

        document.write(table);






        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Mar 13 at 23:21

























        answered Mar 13 at 23:08









        Driton HaxhiuDriton Haxhiu

        113




        113






























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