Preventing list elements from being reused in an algorithm










1














I;m trying to sort rgb values based on a greedy algorithm that is meant to work by getting a random colour, check the distance between itself and another colour, and then when it finds the one with the shortest distance (euclidean) to itself, append that onto the new array/list.



I'm getting an error concerning the line col[l] not in colouringArray. The point of this line is to make sure colours that are appended to the new list aren't used again.



python



def greedy(cols):

for i in range(len(cols)):
col = [eval(j) for j in cols[i]]
cols[i] = np.array(col)

greedyResult = #what will contain the result
colourArray =

resultIn =

randomColour = random.choice(cols) #make a random choice of colours
colourArray.append(randomColour)

greedyResult.append(colourArray)

colouringArray = greedyResult

resultIn.append(randomColour)

print(colouringArray)

for i in range(25 - 1):
shortestDist = 25
closestColour = ''


for l in range(0,25):
currPosition = colouringArray[-1]
checkPosition = cols[l]


distance = euc_distance(currPosition,checkPosition)
print(colouringArray)
print(colours[l])
if cols[l] not in colouringArray:

if distance < shortestDist:
shortestDist = distance
closestColour = cols[l]
colouringArray.append(closestColour)

print(colouringArray)
return colouringArray


def euc_distance(x, y):
maths = np.sum((x-y)**2)**0.5
print('x', x)
print('y', y)
return maths


Error



 if cols[l] not in colouringArray:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


RGB values being loaded in from just a .txt file



0.9664535356921388 0.4407325991753527 0.007491470058587191
0.9109759624491242 0.939268997363764 0.5822275730589491
0.6715634814879851 0.08393822683708396 0.7664809327917963
0.23680977536311776 0.030814021726609964 0.7887727172362835
0.3460889655971231 0.6232814750391685 0.6158156951036152
0.14855463870828756 0.18309064740993164 0.11441296968868764
0.014618780486909122 0.48675154060475834 0.9649015609162157
0.06456228097718608 0.5410881855511303 0.46589855900830957
0.6014634495610515 0.08892882999066232 0.5790026861873665
0.26958550381944824 0.5564325605562156 0.6446342341782827
0.48103637136651844 0.35523914744298335 0.249152121361209
0.9335154980423467 0.45338801947649354 0.5301612069115903
0.019299566309716853 0.5081019257797922 0.005780237417743139
0.14376842759559538 0.47282692534740633 0.3773474407725964
0.05417519864614284 0.5875285081310694 0.1640032237419612
0.5573302374414681 0.1442457216019083 0.9373070846962247
0.7709799715197749 0.9569331223494054 0.14122776441649953
0.3053927082876986 0.03958962422796164 0.27678369479169207
0.8065125051156038 0.177343035278254 0.15457051471078964
0.9547186557023949 0.154551400089043 0.8338892941512318
0.04106280627180747 0.38618352833582825 0.3495923019636925
0.3417077927504538 0.8164630567142304 0.47593490813172823
0.7828902895224036 0.4708401253088451 0.8173440068581418
0.8815675986556064 0.43959639767963965 0.781063597792481
0.8147411602576974 0.29567891564250737 0.12387667430690597









share|improve this question


























    1














    I;m trying to sort rgb values based on a greedy algorithm that is meant to work by getting a random colour, check the distance between itself and another colour, and then when it finds the one with the shortest distance (euclidean) to itself, append that onto the new array/list.



    I'm getting an error concerning the line col[l] not in colouringArray. The point of this line is to make sure colours that are appended to the new list aren't used again.



    python



    def greedy(cols):

    for i in range(len(cols)):
    col = [eval(j) for j in cols[i]]
    cols[i] = np.array(col)

    greedyResult = #what will contain the result
    colourArray =

    resultIn =

    randomColour = random.choice(cols) #make a random choice of colours
    colourArray.append(randomColour)

    greedyResult.append(colourArray)

    colouringArray = greedyResult

    resultIn.append(randomColour)

    print(colouringArray)

    for i in range(25 - 1):
    shortestDist = 25
    closestColour = ''


    for l in range(0,25):
    currPosition = colouringArray[-1]
    checkPosition = cols[l]


    distance = euc_distance(currPosition,checkPosition)
    print(colouringArray)
    print(colours[l])
    if cols[l] not in colouringArray:

    if distance < shortestDist:
    shortestDist = distance
    closestColour = cols[l]
    colouringArray.append(closestColour)

    print(colouringArray)
    return colouringArray


    def euc_distance(x, y):
    maths = np.sum((x-y)**2)**0.5
    print('x', x)
    print('y', y)
    return maths


    Error



     if cols[l] not in colouringArray:
    ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


    RGB values being loaded in from just a .txt file



    0.9664535356921388 0.4407325991753527 0.007491470058587191
    0.9109759624491242 0.939268997363764 0.5822275730589491
    0.6715634814879851 0.08393822683708396 0.7664809327917963
    0.23680977536311776 0.030814021726609964 0.7887727172362835
    0.3460889655971231 0.6232814750391685 0.6158156951036152
    0.14855463870828756 0.18309064740993164 0.11441296968868764
    0.014618780486909122 0.48675154060475834 0.9649015609162157
    0.06456228097718608 0.5410881855511303 0.46589855900830957
    0.6014634495610515 0.08892882999066232 0.5790026861873665
    0.26958550381944824 0.5564325605562156 0.6446342341782827
    0.48103637136651844 0.35523914744298335 0.249152121361209
    0.9335154980423467 0.45338801947649354 0.5301612069115903
    0.019299566309716853 0.5081019257797922 0.005780237417743139
    0.14376842759559538 0.47282692534740633 0.3773474407725964
    0.05417519864614284 0.5875285081310694 0.1640032237419612
    0.5573302374414681 0.1442457216019083 0.9373070846962247
    0.7709799715197749 0.9569331223494054 0.14122776441649953
    0.3053927082876986 0.03958962422796164 0.27678369479169207
    0.8065125051156038 0.177343035278254 0.15457051471078964
    0.9547186557023949 0.154551400089043 0.8338892941512318
    0.04106280627180747 0.38618352833582825 0.3495923019636925
    0.3417077927504538 0.8164630567142304 0.47593490813172823
    0.7828902895224036 0.4708401253088451 0.8173440068581418
    0.8815675986556064 0.43959639767963965 0.781063597792481
    0.8147411602576974 0.29567891564250737 0.12387667430690597









    share|improve this question
























      1












      1








      1







      I;m trying to sort rgb values based on a greedy algorithm that is meant to work by getting a random colour, check the distance between itself and another colour, and then when it finds the one with the shortest distance (euclidean) to itself, append that onto the new array/list.



      I'm getting an error concerning the line col[l] not in colouringArray. The point of this line is to make sure colours that are appended to the new list aren't used again.



      python



      def greedy(cols):

      for i in range(len(cols)):
      col = [eval(j) for j in cols[i]]
      cols[i] = np.array(col)

      greedyResult = #what will contain the result
      colourArray =

      resultIn =

      randomColour = random.choice(cols) #make a random choice of colours
      colourArray.append(randomColour)

      greedyResult.append(colourArray)

      colouringArray = greedyResult

      resultIn.append(randomColour)

      print(colouringArray)

      for i in range(25 - 1):
      shortestDist = 25
      closestColour = ''


      for l in range(0,25):
      currPosition = colouringArray[-1]
      checkPosition = cols[l]


      distance = euc_distance(currPosition,checkPosition)
      print(colouringArray)
      print(colours[l])
      if cols[l] not in colouringArray:

      if distance < shortestDist:
      shortestDist = distance
      closestColour = cols[l]
      colouringArray.append(closestColour)

      print(colouringArray)
      return colouringArray


      def euc_distance(x, y):
      maths = np.sum((x-y)**2)**0.5
      print('x', x)
      print('y', y)
      return maths


      Error



       if cols[l] not in colouringArray:
      ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


      RGB values being loaded in from just a .txt file



      0.9664535356921388 0.4407325991753527 0.007491470058587191
      0.9109759624491242 0.939268997363764 0.5822275730589491
      0.6715634814879851 0.08393822683708396 0.7664809327917963
      0.23680977536311776 0.030814021726609964 0.7887727172362835
      0.3460889655971231 0.6232814750391685 0.6158156951036152
      0.14855463870828756 0.18309064740993164 0.11441296968868764
      0.014618780486909122 0.48675154060475834 0.9649015609162157
      0.06456228097718608 0.5410881855511303 0.46589855900830957
      0.6014634495610515 0.08892882999066232 0.5790026861873665
      0.26958550381944824 0.5564325605562156 0.6446342341782827
      0.48103637136651844 0.35523914744298335 0.249152121361209
      0.9335154980423467 0.45338801947649354 0.5301612069115903
      0.019299566309716853 0.5081019257797922 0.005780237417743139
      0.14376842759559538 0.47282692534740633 0.3773474407725964
      0.05417519864614284 0.5875285081310694 0.1640032237419612
      0.5573302374414681 0.1442457216019083 0.9373070846962247
      0.7709799715197749 0.9569331223494054 0.14122776441649953
      0.3053927082876986 0.03958962422796164 0.27678369479169207
      0.8065125051156038 0.177343035278254 0.15457051471078964
      0.9547186557023949 0.154551400089043 0.8338892941512318
      0.04106280627180747 0.38618352833582825 0.3495923019636925
      0.3417077927504538 0.8164630567142304 0.47593490813172823
      0.7828902895224036 0.4708401253088451 0.8173440068581418
      0.8815675986556064 0.43959639767963965 0.781063597792481
      0.8147411602576974 0.29567891564250737 0.12387667430690597









      share|improve this question













      I;m trying to sort rgb values based on a greedy algorithm that is meant to work by getting a random colour, check the distance between itself and another colour, and then when it finds the one with the shortest distance (euclidean) to itself, append that onto the new array/list.



      I'm getting an error concerning the line col[l] not in colouringArray. The point of this line is to make sure colours that are appended to the new list aren't used again.



      python



      def greedy(cols):

      for i in range(len(cols)):
      col = [eval(j) for j in cols[i]]
      cols[i] = np.array(col)

      greedyResult = #what will contain the result
      colourArray =

      resultIn =

      randomColour = random.choice(cols) #make a random choice of colours
      colourArray.append(randomColour)

      greedyResult.append(colourArray)

      colouringArray = greedyResult

      resultIn.append(randomColour)

      print(colouringArray)

      for i in range(25 - 1):
      shortestDist = 25
      closestColour = ''


      for l in range(0,25):
      currPosition = colouringArray[-1]
      checkPosition = cols[l]


      distance = euc_distance(currPosition,checkPosition)
      print(colouringArray)
      print(colours[l])
      if cols[l] not in colouringArray:

      if distance < shortestDist:
      shortestDist = distance
      closestColour = cols[l]
      colouringArray.append(closestColour)

      print(colouringArray)
      return colouringArray


      def euc_distance(x, y):
      maths = np.sum((x-y)**2)**0.5
      print('x', x)
      print('y', y)
      return maths


      Error



       if cols[l] not in colouringArray:
      ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


      RGB values being loaded in from just a .txt file



      0.9664535356921388 0.4407325991753527 0.007491470058587191
      0.9109759624491242 0.939268997363764 0.5822275730589491
      0.6715634814879851 0.08393822683708396 0.7664809327917963
      0.23680977536311776 0.030814021726609964 0.7887727172362835
      0.3460889655971231 0.6232814750391685 0.6158156951036152
      0.14855463870828756 0.18309064740993164 0.11441296968868764
      0.014618780486909122 0.48675154060475834 0.9649015609162157
      0.06456228097718608 0.5410881855511303 0.46589855900830957
      0.6014634495610515 0.08892882999066232 0.5790026861873665
      0.26958550381944824 0.5564325605562156 0.6446342341782827
      0.48103637136651844 0.35523914744298335 0.249152121361209
      0.9335154980423467 0.45338801947649354 0.5301612069115903
      0.019299566309716853 0.5081019257797922 0.005780237417743139
      0.14376842759559538 0.47282692534740633 0.3773474407725964
      0.05417519864614284 0.5875285081310694 0.1640032237419612
      0.5573302374414681 0.1442457216019083 0.9373070846962247
      0.7709799715197749 0.9569331223494054 0.14122776441649953
      0.3053927082876986 0.03958962422796164 0.27678369479169207
      0.8065125051156038 0.177343035278254 0.15457051471078964
      0.9547186557023949 0.154551400089043 0.8338892941512318
      0.04106280627180747 0.38618352833582825 0.3495923019636925
      0.3417077927504538 0.8164630567142304 0.47593490813172823
      0.7828902895224036 0.4708401253088451 0.8173440068581418
      0.8815675986556064 0.43959639767963965 0.781063597792481
      0.8147411602576974 0.29567891564250737 0.12387667430690597






      python






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      asked Nov 11 '18 at 19:07







      user10463530


































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