IR_Global_GeoComp_QuickView_DataRecipe.ipynb

{"cells":[{"cell_type":"markdown","metadata":{},"source":["<br>\n","       Infrared Global Geostationary Composite Quick View<br>\n","<br>\n","       Description: This code generates a PNG image of an Infrared <br>\n","               Global Geostationary Composite data file<br>\n","<br>\n","       Authors: Matthew Smith, Leigh Sinclair<br>\n","       Information and Technology Systems Center (ITSC)<br>\n","       University of Alabama in Huntsville<br>\n","<br>\n","       Last Edited: 5 July 2017<br>\n","<br>\n","<br>\n","Import Python packages"]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Requirement already satisfied: matplotlib in /home/davis_dev/anaconda3/lib/python3.9/site-packages (3.5.1)\n","Requirement already satisfied: numpy>=1.17 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (1.21.5)\n","Requirement already satisfied: python-dateutil>=2.7 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (2.8.2)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (1.3.2)\n","Requirement already satisfied: cycler>=0.10 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (0.11.0)\n","Requirement already satisfied: fonttools>=4.22.0 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (4.25.0)\n","Requirement already satisfied: packaging>=20.0 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (21.3)\n","Requirement already satisfied: pyparsing>=2.2.1 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (3.0.4)\n","Requirement already satisfied: pillow>=6.2.0 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from matplotlib) (9.0.1)\n","Requirement already satisfied: six>=1.5 in /home/davis_dev/anaconda3/lib/python3.9/site-packages (from python-dateutil>=2.7->matplotlib) (1.12.0)\n","Success, saved to test_files/globir/globir.22007.0120.png\n","Image created\n"]}],"source":["! pip install matplotlib\n","\n","import struct\n","import matplotlib.pyplot as plt\n"," \n","# Define the file path to the desired date file \n","globir=\"test_files/globir/globir.22007.0120\" #Place path to file here using forward slashes\n","try:\n","   IN=open(globir, 'rb')\n","except:\n","   print ('Error: opening file', globir)\n","   exit(1)\n"," \n","# Read the first 768 bytes of the file containing the header and navigation information\n","dataOffset=768\n","header=struct.unpack('<192I', IN.read(768))\n"," \n","# Extract the data parameters\n","lines=header[8]\n","elements=header[9]\n","arraySize=lines*elements\n","format=\"%4dB\" % (arraySize)\n","dataOffset=header[33]   # offset to data array (bytes)\n"," \n","# Read image array into a 1D array\n","IN.seek(dataOffset)\n","array=struct.unpack(format, IN.read(arraySize))\n","IN.close()\n"," \n","# Set up 2D array and reshape to 2D array to plot the data\n","array2D=[]\n","for n in range(0,lines):\n","   array2D.append(array[n*elements:(n+1)*elements])\n"," \n","# Create a plot of the data. The generated PNG image will save to the same folder where the data file is saved.\n","fig=plt.imshow(array2D, cmap='gray', interpolation='none')\n","plt.axis('off')\n","fig.axes.get_xaxis().set_visible(False)\n","fig.axes.get_yaxis().set_visible(False)\n","try:\n","   plt.savefig(globir+\".png\", dpi=400, bbox_inches='tight', pad_inches=0)\n","except:\n","   print ('Error: saving figure to',globir+\".png\")\n","   exit(1)\n","else:\n","   print ('Success, saved to', globir+\".png\")\n","plt.close('all')\n","#exit(0)\n","\n","print (\"Image created\")"]}],"metadata":{"kernelspec":{"display_name":"Python 3.9.12 ('base')","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.12"},"vscode":{"interpreter":{"hash":"a095a0f487344c688288b7e5a6e0064de8ffe78aee5a45c461691f60996a49b8"}}},"nbformat":4,"nbformat_minor":2}