Adicionando robot.md para o repositório

bus/bus.ipynb

@@ -32,52 +32,154 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "# variables\n",
-    "\n"
+    "\n",
+    "entrada = 0\n",
+    "saida = 0\n",
+    "\n",
+    "bus_stop = int()\n",
+    "limite = 50\n",
+    "paradas = []\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** '99' na variável 'entrada' para parar ***\n",
+      "\n",
+      "\n",
+      "entrada = 2\n",
+      "saida = 2\n",
+      "\n",
+      "entrada = 1\n",
+      "saida = 1\n",
+      "\n",
+      "entrada = 99\n",
+      "\n",
+      "Quantidade de paradas =  2 \n",
+      "Paradas [(2, 2), (1, 1)]\n"
+     ]
+    }
+   ],
    "source": [
-    "# 1. Calculate the number of stops.\n",
-    "\n"
+    "# Número de passageiros ENTRADA e SAÍDA\n",
+    "\n",
+    "print(\"*** '99' na variável 'entrada' para parar ***\\n\")\n",
+    "\n",
+    "while entrada !=  '99':\n",
+    "    entrada = input(\"\\nentrada = \")\n",
+    "    if entrada == '99':\n",
+    "        break\n",
+    "    else:\n",
+    "        saida = input(\"saida = \")\n",
+    "    bus_stop = (int(entrada), int(saida))\n",
+    "    paradas.append (bus_stop)\n",
+    "\n",
+    "\n",
+    "print(\"\\nQuantidade de paradas = \", len(paradas), \"\\nParadas\", (paradas))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Quantidade de paradas =  2\n"
+     ]
+    }
+   ],
    "source": [
-    "# 2. Assign a variable a list whose elements are the number of passengers in each stop: \n",
-    "# Each item depends on the previous item in the list + in - out.\n",
+    "# 1. Calculate the number of stops.\n",
+    "\n",
+    "qtd_paradas = 0\n",
+    "\n",
+    "for t in paradas:\n",
+    "\tqtd_paradas +=1\n",
+    "\n",
+    "print(\"Quantidade de paradas = \", qtd_paradas)\n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Histórico de ocupantes no ônibus =  [0, 0]\n",
+      "Quantidade de passageiros no ônibus (final) =  0\n",
+      "Máximo de ocupantes =  0\n",
+      "Média de passageiros  =  0.0\n"
+     ]
+    }
+   ],
    "source": [
+    "# 2. Assign a variable a list whose elements are the number of passengers in each stop: \n",
+    "\n",
+    "\n",
+    "# Each item depends on the previous item in the list + in - out.\n",
+    "# Number passengers in the bus \n",
     "# 3. Find the maximum occupation of the bus.\n",
+    "# 4. Calculate the average occupation. And the standard deviation.\n",
+    "\n",
+    "\n",
+    "##Number passengers in the bus##\n",
+    "##Max of passengers##\n",
+    "\n",
+    "number_pas = 0\n",
+    "total_pas = 0\n",
+    "hist_ocup = []\n",
+    "\n",
+    "for tupla in paradas:\n",
+    "\tnumber_pas = tupla[0]-tupla[1]\n",
+    "\ttotal_pas+=number_pas\n",
+    "\thist_ocup.append(total_pas)\n",
+    "\n",
+    "soma = sum(hist_ocup)\n",
+    "\t\n",
+    "print('Histórico de ocupantes no ônibus = ', hist_ocup)\n",
+    "print('Quantidade de passageiros no ônibus (final) = ',total_pas)\n",
+    "print('Máximo de ocupantes = ', max(hist_ocup))\n",
+    "print('Média de passageiros  = ', soma/len(hist_ocup))\n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Desvio Padrão do histórico de passageiros =  0.00\n"
+     ]
+    }
+   ],
    "source": [
-    "# 4. Calculate the average occupation. And the standard deviation.\n",
+    "##Desvio padrão##\n",
+    "\n",
+    "import statistics\n",
+    "print( \"Desvio Padrão do histórico de passageiros = \", \"%.2f\" %(statistics.stdev(hist_ocup)))\n",
+    "\n",
     "\n"
    ]
   },
@@ -105,7 +207,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,