Multi tool use

Clash Royale CLAN TAG

Change the output result of np.array

I have 3 different .txt files and each of them contains x,y,z coordinates such:
I read the content of those 3 files:

x,y,z

inputFileList = sorted(glob.glob(inputSourceDir + '/*.txt'), key=lambda x: (int(re.sub('D', '', x)), x))
inputFileList = inputFileList[0:100]
inputTotalDataList =
self.numberOfInputFiles = 0

for inputFilePath in inputFileList:
inputDataInFile = np.genfromtxt(inputFilePath, dtype=float, delimiter=',') # usecols= 0

baseWithExt = os.path.basename(inputFilePath)
base = os.path.splitext(baseWithExt)[0]

inputTotalDataList.append(inputDataInFile)

self.numberOfInputFiles = self.numberOfInputFiles + 1

self.inputTotalData = np.array(inputTotalDataList)
self.inputTotalData = self.inputTotalData.reshape(self.numberOfInputFiles * len(inputDataInFile), 3)
print('TotalData: ', inputTotalData )


As output I get:

TotalData: [[ 7.29948 -187.854 760.208 ]
[ -41.2607 -188.068 761.008 ]
[ -13.2162 -193.675 771.235 ]
[ 35.361 -185.632 776.405 ]
[ -58.8706 -188.025 785.184 ]
[ 12.8998 -196.275 789.446 ]
[ -27.303 -198.127 791.598 ]
[ -48.8703 -195.487 812.969 ]
[ 30.4976 -192.05 818.794 ]]


But I want to represent each read file like:

[[ 7.29948 -187.854 760.208 ]
[ -41.2607 -188.068 761.008 ]
[ -13.2162 -193.675 771.235 ]]
[[ 35.361 -185.632 776.405 ]
[ -58.8706 -188.025 785.184 ]
[ 12.8998 -196.275 789.446 ]]
[[ -27.303 -198.127 791.598 ]
[ -48.8703 -195.487 812.969 ]
[ 30.4976 -192.05 818.794 ]]


.
.
.

How can I convert my output to the desired result above?

reshape

self.inputTotalData

1 Answer
1

Instead of

self.inputTotalData = self.inputTotalData.reshape(self.numberOfInputFiles * len(inputDataInFile), 3)


use the desired inner shape (3x3) and let it deduce the first (outer) dimension

self.inputTotalData = self.inputTotalData.reshape(-1, 3, 3)


self.inputTotalData np.array

dict

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