Get the mean, minimum, maximum, standard deviation, 25th, 50th and 75th percentiles of a Data Frame

005-describe-dataframe.ipynb

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      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>53.010000</td>\n",
       "      <td>49.650000</td>\n",
       "      <td>48.310000</td>\n",
       "      <td>48.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>27.758517</td>\n",
       "      <td>30.336622</td>\n",
       "      <td>29.051224</td>\n",
       "      <td>29.808452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>29.750000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>24.750000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>53.000000</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>46.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>75.000000</td>\n",
       "      <td>78.250000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>76.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>94.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                A           B           C           D\n",
       "count  100.000000  100.000000  100.000000  100.000000\n",
       "mean    53.010000   49.650000   48.310000   48.040000\n",
       "std     27.758517   30.336622   29.051224   29.808452\n",
       "min      0.000000    0.000000    0.000000    0.000000\n",
       "25%     29.750000   23.000000   24.750000   22.000000\n",
       "50%     53.000000   46.500000   50.000000   46.500000\n",
       "75%     75.000000   78.250000   72.000000   76.250000\n",
       "max     99.000000   98.000000   98.000000   94.000000"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame(np.random.randint(low=0, high=100, size=(100, 4)),\n",
    "                  columns=list('ABCD'))\n",
    "\n",
    "df.describe()"
   ]
  }
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