109 lines
3.1 KiB
Plaintext
109 lines
3.1 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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from sklearn.datasets import load_iris\n"
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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": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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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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" species \n",
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"0 setosa \n",
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"1 setosa \n",
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"2 setosa \n",
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"3 setosa \n",
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"4 setosa \n"
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]
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}
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],
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"source": [
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"iris = load_iris()\n",
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"df = pd.DataFrame(iris.data,columns=iris.feature_names)\n",
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"df['species'] = iris.target\n",
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"df[\"species\"] = df[\"species\"].map({0:iris.target_names[0],1:iris.target_names[1],2:iris.target_names[2]})\n",
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"print(df.head())"
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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": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" sepal length (cm) sepal width (cm) petal length (cm) \\\n",
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"count 150.000000 150.000000 150.000000 \n",
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"mean 5.843333 3.057333 3.758000 \n",
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"std 0.828066 0.435866 1.765298 \n",
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"min 4.300000 2.000000 1.000000 \n",
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"25% 5.100000 2.800000 1.600000 \n",
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"50% 5.800000 3.000000 4.350000 \n",
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"75% 6.400000 3.300000 5.100000 \n",
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"max 7.900000 4.400000 6.900000 \n",
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"\n",
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" petal width (cm) \n",
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"count 150.000000 \n",
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"mean 1.199333 \n",
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"std 0.762238 \n",
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"min 0.100000 \n",
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"25% 0.300000 \n",
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"50% 1.300000 \n",
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"75% 1.800000 \n",
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"max 2.500000 \n"
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]
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}
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],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns \n",
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"\n",
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"#Décrire le jeu de données\n",
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"print(df.describe())"
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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",
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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": "3.10.0"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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