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Ajout de l'exercice manquant (sélection)
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‎en/02-selection.ipynb‎

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" print(f'The problem: {error}')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "44cbc36a-59bd-4e78-8f8e-23e4b7073326",
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"metadata": {
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"lang": "en"
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},
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"source": [
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"### Exercise - Selecting data\n",
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"Calculate the average **hindfoot lengths** and\n",
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"**weights** of each **species** from `'NL'` to `'PB'`:\n",
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"\n",
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"1. Start by selecting only the required columns.\n",
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"2. At the end, select the rows from `'NL'` to `'PB'`.\n",
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"\n",
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"(3 min.)"
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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": null,
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"id": "cdb14a63-1037-4bc7-b7e8-48d273d2b2ac",
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"metadata": {
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"lang": "en",
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"tags": [
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"exer"
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]
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},
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"outputs": [],
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"source": [
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"columns = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df###.groupby('species_id').mean()###"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f1babaa7-f6a5-4445-b15c-fdb063e00682",

‎fr/02-selection.ipynb‎

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" print(f'Le problème : {erreur}')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "73db3a2a-4d6f-4342-b408-9c4a4f116759",
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"metadata": {
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"lang": "fr"
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},
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"source": [
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"### Exercice - Une sélection de données\n",
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"Calculez la moyenne des **longueurs d'arrière-pieds** et\n",
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"des **poids** de chaque **espèce** de `'NL'` à `'PB'` :\n",
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"\n",
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"1. Commencez par sélectionner uniquement les colonnes requises.\n",
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"2. À la fin, sélectionnez les lignes de `'NL'` à `'PB'`.\n",
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"\n",
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"(3 min.)"
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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": null,
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"id": "d7a08eaf-4ab2-4b57-b8e2-aca33f42b8b3",
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"metadata": {
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"lang": "fr",
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"tags": [
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"exer"
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]
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},
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"outputs": [],
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"source": [
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"colonnes = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df###.groupby('species_id').mean()###"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8f2ce1e8-85cd-4df4-b129-ae9326e305dd",

‎solution-en/02-selection.ipynb‎

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Original file line numberDiff line numberDiff line change
@@ -163,6 +163,39 @@
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" print(f'The problem: {error}')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "44cbc36a-59bd-4e78-8f8e-23e4b7073326",
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"metadata": {
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"lang": "en"
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},
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"source": [
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"### Exercise - Selecting data\n",
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"Calculate the average **hindfoot lengths** and\n",
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"**weights** of each **species** from `'NL'` to `'PB'`:\n",
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"\n",
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"1. Start by selecting only the required columns.\n",
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"2. At the end, select the rows from `'NL'` to `'PB'`.\n",
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"\n",
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"(3 min.)"
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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": null,
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"id": "ecc078ee-438b-4966-8f23-243a297c4f16",
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"metadata": {
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"lang": "en",
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"tags": [
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"soln"
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]
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},
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"outputs": [],
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"source": [
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"columns = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df[columns].groupby('species_id').mean().loc['NL':'PB', :]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f1babaa7-f6a5-4445-b15c-fdb063e00682",

‎solution-fr/02-selection.ipynb‎

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Original file line numberDiff line numberDiff line change
@@ -163,6 +163,39 @@
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" print(f'Le problème : {erreur}')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "73db3a2a-4d6f-4342-b408-9c4a4f116759",
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"metadata": {
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"lang": "fr"
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},
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"source": [
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"### Exercice - Une sélection de données\n",
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"Calculez la moyenne des **longueurs d'arrière-pieds** et\n",
175+
"des **poids** de chaque **espèce** de `'NL'` à `'PB'` :\n",
176+
"\n",
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"1. Commencez par sélectionner uniquement les colonnes requises.\n",
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"2. À la fin, sélectionnez les lignes de `'NL'` à `'PB'`.\n",
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"\n",
180+
"(3 min.)"
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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": null,
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"id": "5afff414-4369-4d3d-b7ee-8aa2d0a62664",
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"metadata": {
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"lang": "fr",
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"tags": [
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"soln"
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]
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},
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"outputs": [],
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"source": [
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"colonnes = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df[colonnes].groupby('species_id').mean().loc['NL':'PB', :]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8f2ce1e8-85cd-4df4-b129-ae9326e305dd",

‎src/02-selection.ipynb‎

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@@ -402,6 +402,104 @@
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" print(f'The problem: {error}')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "73db3a2a-4d6f-4342-b408-9c4a4f116759",
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"metadata": {
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"lang": "fr"
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},
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"source": [
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"### Exercice - Une sélection de données\n",
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"Calculez la moyenne des **longueurs d'arrière-pieds** et\n",
414+
"des **poids** de chaque **espèce** de `'NL'` à `'PB'` :\n",
415+
"\n",
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"1. Commencez par sélectionner uniquement les colonnes requises.\n",
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"2. À la fin, sélectionnez les lignes de `'NL'` à `'PB'`.\n",
418+
"\n",
419+
"(3 min.)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "44cbc36a-59bd-4e78-8f8e-23e4b7073326",
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"metadata": {
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"lang": "en"
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},
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"source": [
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"### Exercise - Selecting data\n",
430+
"Calculate the average **hindfoot lengths** and\n",
431+
"**weights** of each **species** from `'NL'` to `'PB'`:\n",
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"\n",
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"1. Start by selecting only the required columns.\n",
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"2. At the end, select the rows from `'NL'` to `'PB'`.\n",
435+
"\n",
436+
"(3 min.)"
437+
]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5afff414-4369-4d3d-b7ee-8aa2d0a62664",
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"metadata": {
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"lang": "fr",
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"tags": [
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"soln"
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]
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},
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"outputs": [],
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"source": [
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"colonnes = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df[colonnes].groupby('species_id').mean().loc['NL':'PB', :]"
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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": null,
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"id": "d7a08eaf-4ab2-4b57-b8e2-aca33f42b8b3",
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"metadata": {
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"lang": "fr",
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"tags": [
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"exer"
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]
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},
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"outputs": [],
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"source": [
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"colonnes = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df###.groupby('species_id').mean()###"
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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": null,
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"id": "ecc078ee-438b-4966-8f23-243a297c4f16",
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"metadata": {
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"lang": "en",
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"tags": [
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"soln"
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]
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},
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"outputs": [],
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"source": [
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"columns = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df[columns].groupby('species_id').mean().loc['NL':'PB', :]"
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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": null,
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"id": "cdb14a63-1037-4bc7-b7e8-48d273d2b2ac",
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"metadata": {
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"lang": "en",
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"tags": [
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"exer"
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]
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},
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"outputs": [],
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"source": [
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"columns = ['species_id', 'hindfoot_length', 'weight']\n",
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"surveys_df###.groupby('species_id').mean()###"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8f2ce1e8-85cd-4df4-b129-ae9326e305dd",

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