2 Commits
2 changed files with 251 additions and 39 deletions
Vendored
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@@ -2,19 +2,246 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 1,
"id": "45bdce35", "id": "45bdce35",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"ename": "ModuleNotFoundError", "name": "stdout",
"evalue": "No module named 'sklearn'", "output_type": "stream",
"output_type": "error", "text": [
"traceback": [ "Feature data: (8124, 22)\n",
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "Target data: (8124,)\n"
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", ]
"Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatasets\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m fetch_openml\n\u001b[1;32m 3\u001b[0m mushroom \u001b[38;5;241m=\u001b[39m fetch_openml(data_id\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m43922\u001b[39m, as_frame\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 5\u001b[0m X \u001b[38;5;241m=\u001b[39m mushroom\u001b[38;5;241m.\u001b[39mdata\n", },
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'sklearn'" {
"data": {
"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",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cap_shape</th>\n",
" <th>cap_surface</th>\n",
" <th>cap_color</th>\n",
" <th>bruises</th>\n",
" <th>odor</th>\n",
" <th>gill_attachment</th>\n",
" <th>gill_spacing</th>\n",
" <th>gill_size</th>\n",
" <th>gill_color</th>\n",
" <th>stalk_shape</th>\n",
" <th>...</th>\n",
" <th>stalk_surface_below_ring</th>\n",
" <th>stalk_color_above_ring</th>\n",
" <th>stalk_color_below_ring</th>\n",
" <th>veil_type</th>\n",
" <th>veil_color</th>\n",
" <th>ring_number</th>\n",
" <th>ring_type</th>\n",
" <th>spore-print-color</th>\n",
" <th>population</th>\n",
" <th>habitat</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>s</td>\n",
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" <tr>\n",
" <th>4</th>\n",
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" </tr>\n",
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"</table>\n",
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"</div>"
],
"text/plain": [
" cap_shape cap_surface cap_color bruises odor gill_attachment gill_spacing \\\n",
"0 x s n t p f c \n",
"1 x s y t a f c \n",
"2 b s w t l f c \n",
"3 x y w t p f c \n",
"4 x s g f n f w \n",
"\n",
" gill_size gill_color stalk_shape ... stalk_surface_below_ring \\\n",
"0 n k e ... s \n",
"1 b k e ... s \n",
"2 b n e ... s \n",
"3 n n e ... s \n",
"4 b k t ... s \n",
"\n",
" stalk_color_above_ring stalk_color_below_ring veil_type veil_color \\\n",
"0 w w p w \n",
"1 w w p w \n",
"2 w w p w \n",
"3 w w p w \n",
"4 w w p w \n",
"\n",
" ring_number ring_type spore-print-color population habitat \n",
"0 o p k s u \n",
"1 o p n n g \n",
"2 o p n n m \n",
"3 o p k s u \n",
"4 o e n a g \n",
"\n",
"[5 rows x 22 columns]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"0 p\n",
"1 e\n",
"2 e\n",
"3 p\n",
"4 e\n",
"Name: class, dtype: category\n",
"Categories (2, str): ['e', 'p']"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"class\n",
"e 4208\n",
"p 3916\n",
"Name: count, dtype: int64\n"
] ]
} }
], ],
@@ -35,19 +262,23 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 2,
"id": "69e1a254", "id": "69e1a254",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"ename": "NameError", "name": "stdout",
"evalue": "name 'X' is not defined", "output_type": "stream",
"output_type": "error", "text": [
"traceback": [ "Missing cells: 0\n",
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "Rows with missing cells: 0\n",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "stalk_root\n",
"Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMissing cells:\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[43mX\u001b[49m\u001b[38;5;241m.\u001b[39misna()\u001b[38;5;241m.\u001b[39msum()\u001b[38;5;241m.\u001b[39msum())\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRows with missing cells:\u001b[39m\u001b[38;5;124m\"\u001b[39m, X\u001b[38;5;241m.\u001b[39misna()\u001b[38;5;241m.\u001b[39many(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\u001b[38;5;241m.\u001b[39msum())\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(X[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstalk_root\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalue_counts(dropna\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m))\n", "b 3776\n",
"\u001b[0;31mNameError\u001b[0m: name 'X' is not defined" "? 2480\n",
"e 1120\n",
"c 556\n",
"r 192\n",
"Name: count, dtype: int64\n"
] ]
} }
], ],
@@ -56,30 +287,11 @@
"print(\"Rows with missing cells:\", X.isna().any(axis=1).sum())\n", "print(\"Rows with missing cells:\", X.isna().any(axis=1).sum())\n",
"print(X[\"stalk_root\"].value_counts(dropna=False))" "print(X[\"stalk_root\"].value_counts(dropna=False))"
] ]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "a3459b1e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello\n"
]
}
],
"source": [
"a = \"hello\"\n",
"print(a)"
]
} }
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": ".venv (3.9.6)", "display_name": ".venv (3.12.10)",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
@@ -93,7 +305,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.6" "version": "3.12.10"
} }
}, },
"nbformat": 4, "nbformat": 4,