updated 02_function_basics/Class_II_Python.ipynb

UVADS · Aug 29, 2023 · 5a8e038 · 5a8e038
1 parent ba25fd3
commit 5a8e038
Showing 1 changed file with 21 additions and 40 deletions.
diff --git a/02_function_basics/Class_II_Python.ipynb b/02_function_basics/Class_II_Python.ipynb
@@ -50,17 +50,17 @@
   },
   {
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-   "execution_count": 3,
+   "execution_count": 1,
    "id": "317858ce",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'c:\\\\Users\\\\Brian Wright\\\\Documents\\\\3001Python\\\\DS-3001\\\\02_R_function_basics'"
+       "'c:\\\\Users\\\\Brian Wright\\\\Documents\\\\3001Python\\\\DS-3001\\\\02_function_basics'"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -120,25 +120,6 @@
     "  - Arrange in descending order by Mean GPA"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "4fa93edc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'c:\\\\Users\\\\Brian Wright\\\\Documents\\\\3001Python\\\\DS-3001\\\\02_R_function_basics'"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 4,
@@ -181,7 +162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "66c004cb",
    "metadata": {},
    "outputs": [
@@ -192,21 +173,21 @@
       "<class 'pandas.core.frame.DataFrame'>\n",
       "RangeIndex: 400 entries, 0 to 399\n",
       "Data columns (total 4 columns):\n",
-      " #   Column  Non-Null Count  Dtype  \n",
-      "---  ------  --------------  -----  \n",
-      " 0   admit   400 non-null    int64  \n",
-      " 1   gre     400 non-null    int64  \n",
-      " 2   gpa     400 non-null    float64\n",
-      " 3   rank    400 non-null    int64  \n",
-      "dtypes: float64(1), int64(3)\n",
-      "memory usage: 12.6 KB\n",
+      " #   Column  Non-Null Count  Dtype   \n",
+      "---  ------  --------------  -----   \n",
+      " 0   admit   400 non-null    int64   \n",
+      " 1   gre     400 non-null    int64   \n",
+      " 2   gpa     400 non-null    float64 \n",
+      " 3   rank    400 non-null    category\n",
+      "dtypes: category(1), float64(1), int64(2)\n",
+      "memory usage: 10.1 KB\n",
       "None\n"
      ]
     }
    ],
    "source": [
-    "admit_2.rank = admit_2.rank.astype(\"category\")   # here, we assign the newly-assigned vars\n",
-    "# to the corresponding columns in the initial dataframe. \n",
+    " #change rank to a categorical variable\n",
+    "admit_2['rank'] = admit_2['rank'].astype(\"category\")   # here, we assign the newly-assigned vars\n",
     "\n",
     "print(admit_2.info())"
    ]
@@ -293,12 +274,12 @@
        "</div>"
       ],
       "text/plain": [
-       "   admit  gre   gpa rank\n",
-       "0      0  380  3.61    3\n",
-       "1      1  660  3.67    3\n",
-       "2      1  800  4.00    1\n",
-       "3      1  640  3.19    4\n",
-       "4      0  520  2.93    4"
+       "   admit  gre   gpa  rank\n",
+       "0      0  380  3.61     3\n",
+       "1      1  660  3.67     3\n",
+       "2      1  800  4.00     1\n",
+       "3      1  640  3.19     4\n",
+       "4      0  520  2.93     4"
       ]
      },
      "execution_count": 6,
@@ -956,7 +937,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.9.17"
   },
   "vscode": {
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