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.ipynb_checkpoints/Data Analysis with images from Mars-checkpoint.ipynb

 {
- "cells": [],
- "metadata": {},
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#  Data Analysis with images from Mars\n",
+    "## Nombres: Gerardo Semprúm, Carla Gomez, Jennifer Ortega."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image\n",
+    "from PIL.ExifTags import TAGS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "imagename = \"Data/Mars.png\"\n",
+    "\n",
+    "# read the image data using PIL\n",
+    "image = Image.open(imagename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exifdata = image.getexif()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for tag_id in exifdata:\n",
+    "    tag = TAGS.get(tag_id, tag_id)\n",
+    "    data = exifdata.get(tag_id)\n",
+    "    # decode bytes \n",
+    "    if isinstance(data, bytes):\n",
+    "        data = data.decode()\n",
+    "    print(f\"{tag:25}: {data}\")\n",
+    "    print('Hola')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.3"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 4
 }