{"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 geopandas\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 all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# importing required modules \nfrom zipfile import ZipFile \n  \n# specifying the zip file name \nfile_name = \"../input/dstl-satellite-imagery-feature-detection/grid_sizes.csv.zip\"\n  \n# opening the zip file in READ mode \nwith ZipFile(file_name, 'r') as zip: \n    # printing all the contents of the zip file \n    zip.printdir() \n  \n    # extracting all the files \n    print('Extracting all the files now...') \n    zip.extractall() \n    print('Done!') \n    \ngrid_sizes = pd.read_csv('grid_sizes.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"grid_sizes.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# importing required modules \nfrom zipfile import ZipFile \n  \n# specifying the zip file name \nfile_name = \"../input/dstl-satellite-imagery-feature-detection/train_wkt_v4.csv.zip\"\n  \n# opening the zip file in READ mode \nwith ZipFile(file_name, 'r') as zip: \n    # printing all the contents of the zip file \n    zip.printdir() \n  \n    # extracting all the files \n    print('Extracting all the files now...') \n    zip.extractall() \n    print('Done!') \n    \ntrain_wkt = pd.read_csv('train_wkt_v4.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_wkt.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# importing required modules \nfrom zipfile import ZipFile \n  \n# specifying the zip file name \nfile_name = \"../input/dstl-satellite-imagery-feature-detection/train_geojson_v3.zip\"\n  \n# opening the zip file in READ mode \nwith ZipFile(file_name, 'r') as zip: \n    # printing all the contents of the zip file \n    zip.printdir() \n  \n    # extracting all the files \n    print('Extracting all the files now...') \n    #zip.extractall() \n    zip.extract()\n    print('Done!') \n    \n#geopandas.read_file('train_geojson_v3')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# importing required modules \nfrom zipfile import ZipFile \n  \n# specifying the zip file name \nfile_name = \"../input/dstl-satellite-imagery-feature-detection/three_band.zip\"\n  \n# opening the zip file in READ mode \nwith ZipFile(file_name, 'r') as zip: \n    # printing all the contents of the zip file \n    zip.printdir() \n  \n    # extracting all the files \n    print('Extracting all the files now...') \n    #zip.extractall() \n    zip.extract('three_band/6010_0_4.tif')\n    print('Done!') \nimg =  mpimg.imread('three_band/6010_0_4.tif')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport matplotlib.image as mpimg\n%matplotlib inline\n\nimgplot = plt.imshow(img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# importing required modules \nfrom zipfile import ZipFile \n  \n# specifying the zip file name \nfile_name = \"../input/dstl-satellite-imagery-feature-detection/sixteen_band.zip\"\n  \n# opening the zip file in READ mode \nwith ZipFile(file_name, 'r') as zip: \n    # printing all the contents of the zip file \n    zip.printdir() \n  \n    # extracting all the files \n    print('Extracting all the files now...') \n    #zip.extractall() \n    zip.extract('sixteen_band/6010*')\n    print('Done!') \n#img =  mpimg.imread('sixteen_band/6010_0_0_A.tif')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport matplotlib.image as mpimg\n%matplotlib inline\n\nimgplot = plt.imshow(img)","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}