146 lines
3.8 KiB
Plaintext
146 lines
3.8 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "b6e46c69-04f1-4447-a1db-a5cce38d636a",
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"metadata": {},
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"outputs": [],
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"source": [
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"from pathlib import Path\n",
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"\n",
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"import pandas as pd\n",
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"\n",
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"DATA_PATH = Path(\"../data/iris.csv\")\n",
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"\n",
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"df = pd.read_csv(DATA_PATH)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "6dd33499-35a2-41d5-bbc9-a19f42ed6e01",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>sepal length (cm)</th>\n",
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" <th>sepal width (cm)</th>\n",
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" <th>petal length (cm)</th>\n",
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" <th>petal width (cm)</th>\n",
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" <th>target</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>5.1</td>\n",
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" <td>3.5</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>4.9</td>\n",
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" <td>3.0</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>4.7</td>\n",
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" <td>3.2</td>\n",
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" <td>1.3</td>\n",
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" <td>0.2</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>4.6</td>\n",
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" <td>3.1</td>\n",
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" <td>1.5</td>\n",
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" <td>0.2</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>5.0</td>\n",
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" <td>3.6</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n",
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"0 5.1 3.5 1.4 0.2 \n",
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"1 4.9 3.0 1.4 0.2 \n",
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"2 4.7 3.2 1.3 0.2 \n",
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"3 4.6 3.1 1.5 0.2 \n",
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"4 5.0 3.6 1.4 0.2 \n",
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"\n",
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" target \n",
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"0 0 \n",
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"1 0 \n",
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"2 0 \n",
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"3 0 \n",
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"4 0 "
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.head()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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