{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import pandas as pd\nimport zipfile\nimport os\nfrom PIL import Image\nimport IPython.display as display","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-11-01T01:46:52.088522Z","iopub.execute_input":"2023-11-01T01:46:52.088899Z","iopub.status.idle":"2023-11-01T01:46:52.094286Z","shell.execute_reply.started":"2023-11-01T01:46:52.088852Z","shell.execute_reply":"2023-11-01T01:46:52.092967Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Load the data files\ntrain_features = pd.read_csv('/kaggle/input/WIC2011/train.csv')\n\n# Display the first few rows of the training features\nprint(\"Training Features:\")\nprint(train_features.head())\n\nprint(train_features.shape)\nprint(train_features.info())\nprint(train_features.columns)","metadata":{"execution":{"iopub.status.busy":"2023-11-01T01:46:52.097188Z","iopub.execute_input":"2023-11-01T01:46:52.097578Z","iopub.status.idle":"2023-11-01T01:46:52.857719Z","shell.execute_reply.started":"2023-11-01T01:46:52.097543Z","shell.execute_reply":"2023-11-01T01:46:52.856335Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Path to the ZIP file\nzip_file_path = '/kaggle/input/WIC2011/color.zip'\n\n# Directory to extract the images\nextracted_dir = '/kaggle/working/color_images/'\n\n# Create the directory if it does not exist\nos.makedirs(extracted_dir, exist_ok=True)\n\n# Extract the ZIP file\nwith zipfile.ZipFile(zip_file_path, 'r') as zip_ref:\n    zip_ref.extractall(extracted_dir)\n","metadata":{"execution":{"iopub.status.busy":"2023-11-01T01:46:52.859171Z","iopub.execute_input":"2023-11-01T01:46:52.859523Z","iopub.status.idle":"2023-11-01T01:46:54.857062Z","shell.execute_reply.started":"2023-11-01T01:46:52.859495Z","shell.execute_reply":"2023-11-01T01:46:54.855851Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# List the extracted image files\nextracted_dir_train = '/kaggle/working/color_images/color/train'\nextracted_files = os.listdir(extracted_dir_train)\n\n# Display several unzipped images\nnum_images_to_display = 5\nfor i in range(num_images_to_display):\n    image_path = os.path.join(extracted_dir_train, extracted_files[i])\n    image = Image.open(image_path)\n    display.display(image)","metadata":{"execution":{"iopub.status.busy":"2023-11-01T01:46:54.859277Z","iopub.execute_input":"2023-11-01T01:46:54.859563Z","iopub.status.idle":"2023-11-01T01:46:58.785588Z","shell.execute_reply.started":"2023-11-01T01:46:54.859540Z","shell.execute_reply":"2023-11-01T01:46:58.784128Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}