PythonMean.ipynb

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      "What's your name? Adrian\n",
      "What is your mark? Type -1 if you have already typed all your notes\n",
      " \t7\n",
      "What is your mark? Type -1 if you have already typed all your notes\n",
      " \t8\n",
      "What is your mark? Type -1 if you have already typed all your notes\n",
      " \t5\n",
      "What is your mark? Type -1 if you have already typed all your notes\n",
      " \t7\n",
      "What is your mark? Type -1 if you have already typed all your notes\n",
      " \t-1\n",
      "In what subject? Math\n",
      "                       Math\n",
      "Marks  [7.0, 8.0, 5.0, 7.0]\n",
      "Mean                   6.75\n",
      "The global mean is 6.75\n"
     ]
    }
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   "source": [
    "import pandas as pd\n",
    "import statistics\n",
    "\n",
    "name = input(\"What's your name? \")\n",
    "\n",
    "filename = \"notas\" + name + \"-\" + subject + \".csv\"\n",
    "file = open(filename, \"w\")\n",
    "\n",
    "marks = []\n",
    "user_marks = 0.0\n",
    "## subject_range = int(input(\"How many subjects you have? \"))\n",
    "\n",
    "def mean_calc():\n",
    "    \n",
    "    global user_marks\n",
    "    \n",
    "    while user_marks != -1:\n",
    "        user_marks = float(input(\"What is your mark? Type -1 if you have already typed all your notes\\n \\t\"))\n",
    "        marks.append(user_marks)\n",
    "\n",
    "    # Deletes the exit number (-1) which per default, gets appended into the array 'marks'\n",
    "    marks.pop()\n",
    "\n",
    "    ## Ask the user for the subject where that mark came from\n",
    "    subject = input(\"In what subject? \")\n",
    "    \n",
    "    ## Calculate the mean\n",
    "    mean = statistics.mean(marks)\n",
    "    \n",
    "    ## Create the DataFrame\n",
    "    notes_df = pd.DataFrame([ [marks], [mean] ], columns = [subject], index = [\"Marks\", \"Mean\"])\n",
    "    \n",
    "    ## Prints the DataFrame and the global mean\n",
    "    print(notes_df)\n",
    "    print(\"The global mean is\", round(mean, 2))\n",
    "    \n",
    "    file.write(str(notes_df))\n",
    "    file.close()\n",
    "    \n",
    "## Calls the function\n",
    "mean_calc()  "
   ]
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