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POHow to loop through one element of a zip() function twice - Python
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  1. POHow to loop through one element of a zip() function twice - Python
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    copied!<p>So here's my dilema... I'm writing a script that reads all .png files from a folder and then converts them to a number of different dimensions which I have specified in a list. Everything works as it should except it quits after handling one image. </p> <p>Here is my code:</p> <pre><code>sizeFormats = ["1024x1024", "114x114", "40x40", "58x58", "60x60", "640x1136", "640x960"] def resizeImages(): widthList = [] heightList = [] resizedHeight = 0 resizedWidth = 0 #targetPath is the path to the folder that contains the images folderToResizeContents = os.listdir(targetPath) #This splits the dimensions into 2 separate lists for height and width (ex: 640x960 adds #640 to widthList and 960 to heightList for index in sizeFormats: widthList.append(index.split("x")[0]) heightList.append(index.split("x")[1]) #for every image in the folder, apply the dimensions from the populated lists and save for image,w,h in zip(folderToResizeContents,widthList,heightList): resizedWidth = int(w) resizedHeight = int(h) sourceFilePath = os.path.join(targetPath,image) imageFileToConvert = Image.open(sourceFilePath) outputFile = imageFileToConvert.resize((resizedWidth,resizedHeight), Image.ANTIALIAS) outputFile.save(sourceFilePath) </code></pre> <p>The following will be returned if the target folder contains 2 images called image1.png,image2.png (for sake of visualization I'll add the dimensions that get applied to the image after an underscore):</p> <p>image1_1024x1024.png, .............., image1_640x690.png (Returns all 7 different dimensions for image1 fine)</p> <p>it stops there when I need it to apply the same transformations to image_2. I know this is because the length of widthList and heightList are only 7 elements long and so exits the loop before image2 gets its turn. Is there any way I can go about looping through widthList and heightList for every image in the targetPath? </p>
 

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