{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import zipfile\nfrom PIL import Image\nimport matplotlib.pyplot as plt\n\nfrom keras.preprocessing import image\n\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"data = pd.read_csv('../input/avito-demand-prediction/train.csv', usecols=['price','image'], nrows=100)\ndata","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\nimgzip = zipfile.ZipFile('../input/avito-demand-prediction/train_jpg.zip')\ninflist = imgzip.infolist()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def im_from_zip(template, imgzip, name):\n    f = template.format(name)\n    print(f)\n    ifile = imgzip.open(f)\n    img = Image.open(ifile)\n    print(img)\n    plt.imshow(img)\n    plt.show()\n    return img\n\n\ntemplate = 'data/competition_files/train_jpg/{}.jpg'\nname = data.image[0]\nim_from_zip(template, imgzip, name)\n","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}