{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport csv\nfrom PIL import Image\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\n#print(os.listdir(\"../input\"))\n#train and test are directories with images of type png\n#print(os.listdir(\"../input/train/\"))\n#print(os.listdir(\"../input/test/\"))\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ef3df6907dbf43bdc76617080216c5303e071da8"},"cell_type":"code","source":"def read_csv(filename):\n    with open(filename, 'r') as csv_reader:\n        csv_reader = csv.reader(csv_reader)\n        for line in csv_reader:\n            print(line)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"01a5bdc5acf9b5967a61543458e87fda0394b2fc"},"cell_type":"code","source":"def view_image():\n    #implement a counter to track images in directory\n    figure = plt.figure(figsize=(20, 20))\n    train_list = os.listdir(\"../input/train\")\n    for i, image in enumerate(np.random.choice(train_list, 5)):\n        image_axis = figure.add_subplot(2, 20//2, i+1, xticks=[], yticks=[])\n        image = Image.open(\"../input/train/\" + image)\n        plt.imshow(image)\n        ","execution_count":null,"outputs":[]},{"metadata":{"_kg_hide-output":true,"_kg_hide-input":true,"trusted":true,"_uuid":"fe9af1c40736024fc4425f63d27919814571b0c9"},"cell_type":"code","source":"def main():\n    #read_csv(\"../input/train.csv\")\n    #read_csv(\"../input/sample_submission.csv\")\n    view_image()\n\nmain()","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}