DataFrame by dict of series objects.ipynb

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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Students</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shah</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alam</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ubaidah</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  Students result\n",
       "0     Shah     70\n",
       "1     Alam     79\n",
       "2  Ubaidah    100"
      ]
     },
     "execution_count": 1,
     "metadata": {},
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   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "names = pd.Series(['Shah','Alam','Ubaidah'])\n",
    "grades = pd.Series(['70','79','100'])\n",
    "dict1 = {'Students':names,'result':grades}\n",
    "df = pd.DataFrame(dict1)\n",
    "df\n",
    "# keys k name headings aur data jese manipulate hona tha hogya!"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "id": "991b6a57",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Students</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "  Students result\n",
       "a      NaN    NaN\n",
       "b      NaN    NaN\n",
       "c      NaN    NaN"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df = pd.DataFrame(dict1,index=['a','b','c'])\n",
    "df"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "a798a34a",
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