diff --git a/notebook_INSEE/prix_carburant.ipynb b/notebook_INSEE/prix_carburant.ipynb
index 07e80a96035b9351f4c78ab8e252efcada5a7e2d..c81a1ffbf3bd834effb4ee26312c9689ae569d72 100644
--- a/notebook_INSEE/prix_carburant.ipynb
+++ b/notebook_INSEE/prix_carburant.ipynb
@@ -5,7 +5,9 @@
"id": "b9c36fa1-d0ac-4202-91ba-236830bd3d1b",
"metadata": {},
"source": [
- "# Prix Carburant"
+ "# Prix Carburant\n",
+ "\n",
+ "Attention, le fichier \"prix_annuel_carburant.csv\" n'a pas le même ordre ni nombre de colonnes entre OpenFisca et ce dépôt."
]
},
{
@@ -22,7 +24,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 2,
"id": "b887ef4a-6f33-4152-af83-daeeffba5a79",
"metadata": {
"tags": []
@@ -40,7 +42,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"id": "4268984b-2876-498d-85e1-110f242376f4",
"metadata": {
"tags": []
@@ -56,7 +58,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"id": "36d19b81-57cc-4b3a-be5c-2c5813367b6f",
"metadata": {
"tags": []
@@ -72,7 +74,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"id": "5fbf5893-de0b-4522-91e6-49bf992cb768",
"metadata": {
"tags": []
@@ -91,7 +93,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"id": "1925b873-dc73-4d8b-b837-463f5f846f47",
"metadata": {
"tags": []
@@ -108,7 +110,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"id": "f1f6d31d-ed11-4d44-9a2c-d11a0ca2b8fb",
"metadata": {
"tags": []
@@ -122,7 +124,7 @@
},
{
"cell_type": "code",
- "execution_count": 84,
+ "execution_count": 8,
"id": "f566506b-95b9-4390-a6a6-f4ebfd844469",
"metadata": {
"tags": []
@@ -132,31 +134,31 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/tmp/ipykernel_1062893/3305679562.py:5: SettingWithCopyWarning: \n",
+ "/tmp/ipykernel_215083/3305679562.py:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['date'] = df['date'].astype(str) + '-01'\n",
- "/tmp/ipykernel_1062893/3305679562.py:5: SettingWithCopyWarning: \n",
+ "/tmp/ipykernel_215083/3305679562.py:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['date'] = df['date'].astype(str) + '-01'\n",
- "/tmp/ipykernel_1062893/3305679562.py:5: SettingWithCopyWarning: \n",
+ "/tmp/ipykernel_215083/3305679562.py:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['date'] = df['date'].astype(str) + '-01'\n",
- "/tmp/ipykernel_1062893/3305679562.py:5: SettingWithCopyWarning: \n",
+ "/tmp/ipykernel_215083/3305679562.py:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['date'] = df['date'].astype(str) + '-01'\n",
- "/tmp/ipykernel_1062893/3305679562.py:5: SettingWithCopyWarning: \n",
+ "/tmp/ipykernel_215083/3305679562.py:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
@@ -177,7 +179,7 @@
},
{
"cell_type": "code",
- "execution_count": 85,
+ "execution_count": 9,
"id": "a7354947-55e1-47e5-9fcd-7be37b00131c",
"metadata": {
"tags": []
@@ -214,49 +216,49 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>0</th>\n",
- " <td>2023-08-01</td>\n",
- " <td>1.85</td>\n",
- " <td>1.99</td>\n",
- " <td>1.94</td>\n",
+ " <th>388</th>\n",
+ " <td>2024-05-01</td>\n",
+ " <td>1.73</td>\n",
+ " <td>1.97</td>\n",
+ " <td>1.92</td>\n",
" <td>NaN</td>\n",
- " <td>1.93</td>\n",
+ " <td>1.88</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>1</th>\n",
- " <td>2023-07-01</td>\n",
- " <td>1.72</td>\n",
- " <td>1.91</td>\n",
- " <td>1.85</td>\n",
+ " <th>387</th>\n",
+ " <td>2024-04-01</td>\n",
+ " <td>1.79</td>\n",
+ " <td>1.99</td>\n",
+ " <td>1.94</td>\n",
" <td>NaN</td>\n",
- " <td>1.84</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>2</th>\n",
- " <td>2023-06-01</td>\n",
- " <td>1.70</td>\n",
+ " <th>386</th>\n",
+ " <td>2024-03-01</td>\n",
+ " <td>1.80</td>\n",
" <td>1.94</td>\n",
- " <td>1.88</td>\n",
+ " <td>1.89</td>\n",
" <td>NaN</td>\n",
" <td>1.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>3</th>\n",
- " <td>2023-05-01</td>\n",
- " <td>1.69</td>\n",
- " <td>1.93</td>\n",
- " <td>1.87</td>\n",
+ " <th>385</th>\n",
+ " <td>2024-02-01</td>\n",
+ " <td>1.83</td>\n",
+ " <td>1.92</td>\n",
+ " <td>1.86</td>\n",
" <td>NaN</td>\n",
- " <td>1.85</td>\n",
+ " <td>1.83</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>4</th>\n",
- " <td>2023-04-01</td>\n",
- " <td>1.81</td>\n",
- " <td>2.00</td>\n",
- " <td>1.95</td>\n",
+ " <th>384</th>\n",
+ " <td>2024-01-01</td>\n",
+ " <td>1.75</td>\n",
+ " <td>1.87</td>\n",
+ " <td>1.82</td>\n",
" <td>NaN</td>\n",
- " <td>1.93</td>\n",
+ " <td>1.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
@@ -268,7 +270,7 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>375</th>\n",
+ " <th>4</th>\n",
" <td>1992-05-01</td>\n",
" <td>0.54</td>\n",
" <td>0.78</td>\n",
@@ -277,7 +279,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>376</th>\n",
+ " <th>3</th>\n",
" <td>1992-04-01</td>\n",
" <td>0.53</td>\n",
" <td>0.77</td>\n",
@@ -286,7 +288,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>377</th>\n",
+ " <th>2</th>\n",
" <td>1992-03-01</td>\n",
" <td>0.54</td>\n",
" <td>0.77</td>\n",
@@ -295,7 +297,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>378</th>\n",
+ " <th>1</th>\n",
" <td>1992-02-01</td>\n",
" <td>0.54</td>\n",
" <td>0.78</td>\n",
@@ -304,7 +306,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>379</th>\n",
+ " <th>0</th>\n",
" <td>1992-01-01</td>\n",
" <td>0.54</td>\n",
" <td>0.78</td>\n",
@@ -314,40 +316,40 @@
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>380 rows × 6 columns</p>\n",
+ "<p>389 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" date diesel_ttc super_98_ttc super_95_ttc super_plombe_ttc \\\n",
- "0 2023-08-01 1.85 1.99 1.94 NaN \n",
- "1 2023-07-01 1.72 1.91 1.85 NaN \n",
- "2 2023-06-01 1.70 1.94 1.88 NaN \n",
- "3 2023-05-01 1.69 1.93 1.87 NaN \n",
- "4 2023-04-01 1.81 2.00 1.95 NaN \n",
+ "388 2024-05-01 1.73 1.97 1.92 NaN \n",
+ "387 2024-04-01 1.79 1.99 1.94 NaN \n",
+ "386 2024-03-01 1.80 1.94 1.89 NaN \n",
+ "385 2024-02-01 1.83 1.92 1.86 NaN \n",
+ "384 2024-01-01 1.75 1.87 1.82 NaN \n",
".. ... ... ... ... ... \n",
- "375 1992-05-01 0.54 0.78 NaN 0.81 \n",
- "376 1992-04-01 0.53 0.77 NaN 0.81 \n",
- "377 1992-03-01 0.54 0.77 NaN 0.81 \n",
- "378 1992-02-01 0.54 0.78 NaN 0.81 \n",
- "379 1992-01-01 0.54 0.78 NaN 0.80 \n",
+ "4 1992-05-01 0.54 0.78 NaN 0.81 \n",
+ "3 1992-04-01 0.53 0.77 NaN 0.81 \n",
+ "2 1992-03-01 0.54 0.77 NaN 0.81 \n",
+ "1 1992-02-01 0.54 0.78 NaN 0.81 \n",
+ "0 1992-01-01 0.54 0.78 NaN 0.80 \n",
"\n",
" super_95_e10_ttc \n",
- "0 1.93 \n",
- "1 1.84 \n",
- "2 1.86 \n",
- "3 1.85 \n",
- "4 1.93 \n",
+ "388 1.88 \n",
+ "387 1.91 \n",
+ "386 1.86 \n",
+ "385 1.83 \n",
+ "384 1.79 \n",
".. ... \n",
- "375 NaN \n",
- "376 NaN \n",
- "377 NaN \n",
- "378 NaN \n",
- "379 NaN \n",
+ "4 NaN \n",
+ "3 NaN \n",
+ "2 NaN \n",
+ "1 NaN \n",
+ "0 NaN \n",
"\n",
- "[380 rows x 6 columns]"
+ "[389 rows x 6 columns]"
]
},
- "execution_count": 85,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -359,7 +361,7 @@
},
{
"cell_type": "code",
- "execution_count": 86,
+ "execution_count": 10,
"id": "39a99f2a-9d68-465e-8911-687f70419885",
"metadata": {
"tags": []
@@ -396,7 +398,7 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>379</th>\n",
+ " <th>0</th>\n",
" <td>1992/01</td>\n",
" <td>0.54</td>\n",
" <td>0.78</td>\n",
@@ -405,7 +407,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>378</th>\n",
+ " <th>1</th>\n",
" <td>1992/02</td>\n",
" <td>0.54</td>\n",
" <td>0.78</td>\n",
@@ -414,7 +416,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>377</th>\n",
+ " <th>2</th>\n",
" <td>1992/03</td>\n",
" <td>0.54</td>\n",
" <td>0.77</td>\n",
@@ -423,7 +425,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>376</th>\n",
+ " <th>3</th>\n",
" <td>1992/04</td>\n",
" <td>0.53</td>\n",
" <td>0.77</td>\n",
@@ -432,7 +434,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>375</th>\n",
+ " <th>4</th>\n",
" <td>1992/05</td>\n",
" <td>0.54</td>\n",
" <td>0.78</td>\n",
@@ -450,86 +452,86 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>4</th>\n",
- " <td>2023/04</td>\n",
- " <td>1.81</td>\n",
- " <td>2.00</td>\n",
- " <td>1.95</td>\n",
+ " <th>384</th>\n",
+ " <td>2024/01</td>\n",
+ " <td>1.75</td>\n",
+ " <td>1.87</td>\n",
+ " <td>1.82</td>\n",
" <td>NaN</td>\n",
- " <td>1.93</td>\n",
+ " <td>1.79</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>3</th>\n",
- " <td>2023/05</td>\n",
- " <td>1.69</td>\n",
- " <td>1.93</td>\n",
- " <td>1.87</td>\n",
+ " <th>385</th>\n",
+ " <td>2024/02</td>\n",
+ " <td>1.83</td>\n",
+ " <td>1.92</td>\n",
+ " <td>1.86</td>\n",
" <td>NaN</td>\n",
- " <td>1.85</td>\n",
+ " <td>1.83</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>2</th>\n",
- " <td>2023/06</td>\n",
- " <td>1.70</td>\n",
+ " <th>386</th>\n",
+ " <td>2024/03</td>\n",
+ " <td>1.80</td>\n",
" <td>1.94</td>\n",
- " <td>1.88</td>\n",
+ " <td>1.89</td>\n",
" <td>NaN</td>\n",
" <td>1.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>1</th>\n",
- " <td>2023/07</td>\n",
- " <td>1.72</td>\n",
- " <td>1.91</td>\n",
- " <td>1.85</td>\n",
+ " <th>387</th>\n",
+ " <td>2024/04</td>\n",
+ " <td>1.79</td>\n",
+ " <td>1.99</td>\n",
+ " <td>1.94</td>\n",
" <td>NaN</td>\n",
- " <td>1.84</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>0</th>\n",
- " <td>2023/08</td>\n",
- " <td>1.85</td>\n",
- " <td>1.99</td>\n",
- " <td>1.94</td>\n",
+ " <th>388</th>\n",
+ " <td>2024/05</td>\n",
+ " <td>1.73</td>\n",
+ " <td>1.97</td>\n",
+ " <td>1.92</td>\n",
" <td>NaN</td>\n",
- " <td>1.93</td>\n",
+ " <td>1.88</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>380 rows × 6 columns</p>\n",
+ "<p>389 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" Date diesel_ttc super_98_ttc super_95_ttc super_plombe_ttc \\\n",
- "379 1992/01 0.54 0.78 NaN 0.80 \n",
- "378 1992/02 0.54 0.78 NaN 0.81 \n",
- "377 1992/03 0.54 0.77 NaN 0.81 \n",
- "376 1992/04 0.53 0.77 NaN 0.81 \n",
- "375 1992/05 0.54 0.78 NaN 0.81 \n",
+ "0 1992/01 0.54 0.78 NaN 0.80 \n",
+ "1 1992/02 0.54 0.78 NaN 0.81 \n",
+ "2 1992/03 0.54 0.77 NaN 0.81 \n",
+ "3 1992/04 0.53 0.77 NaN 0.81 \n",
+ "4 1992/05 0.54 0.78 NaN 0.81 \n",
".. ... ... ... ... ... \n",
- "4 2023/04 1.81 2.00 1.95 NaN \n",
- "3 2023/05 1.69 1.93 1.87 NaN \n",
- "2 2023/06 1.70 1.94 1.88 NaN \n",
- "1 2023/07 1.72 1.91 1.85 NaN \n",
- "0 2023/08 1.85 1.99 1.94 NaN \n",
+ "384 2024/01 1.75 1.87 1.82 NaN \n",
+ "385 2024/02 1.83 1.92 1.86 NaN \n",
+ "386 2024/03 1.80 1.94 1.89 NaN \n",
+ "387 2024/04 1.79 1.99 1.94 NaN \n",
+ "388 2024/05 1.73 1.97 1.92 NaN \n",
"\n",
" super_95_e10_ttc \n",
- "379 NaN \n",
- "378 NaN \n",
- "377 NaN \n",
- "376 NaN \n",
- "375 NaN \n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
".. ... \n",
- "4 1.93 \n",
- "3 1.85 \n",
- "2 1.86 \n",
- "1 1.84 \n",
- "0 1.93 \n",
+ "384 1.79 \n",
+ "385 1.83 \n",
+ "386 1.86 \n",
+ "387 1.91 \n",
+ "388 1.88 \n",
"\n",
- "[380 rows x 6 columns]"
+ "[389 rows x 6 columns]"
]
},
- "execution_count": 86,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -549,7 +551,7 @@
},
{
"cell_type": "code",
- "execution_count": 87,
+ "execution_count": 11,
"id": "49128573-c7ca-4d64-bac1-d84edcf65742",
"metadata": {
"tags": []
@@ -560,18 +562,18 @@
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
- "Int64Index: 380 entries, 0 to 379\n",
+ "Index: 389 entries, 388 to 0\n",
"Data columns (total 6 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
- " 0 date 380 non-null object \n",
- " 1 diesel_ttc 380 non-null float64\n",
- " 2 super_98_ttc 380 non-null float64\n",
- " 3 super_95_ttc 260 non-null float64\n",
+ " 0 date 389 non-null object \n",
+ " 1 diesel_ttc 389 non-null float64\n",
+ " 2 super_98_ttc 389 non-null float64\n",
+ " 3 super_95_ttc 269 non-null float64\n",
" 4 super_plombe_ttc 157 non-null float64\n",
- " 5 super_95_e10_ttc 56 non-null float64\n",
+ " 5 super_95_e10_ttc 65 non-null float64\n",
"dtypes: float64(5), object(1)\n",
- "memory usage: 20.8+ KB\n"
+ "memory usage: 21.3+ KB\n"
]
}
],
@@ -582,7 +584,7 @@
},
{
"cell_type": "code",
- "execution_count": 98,
+ "execution_count": 12,
"id": "8edc5227-ee31-45fd-8d94-a7e803012312",
"metadata": {
"tags": []
@@ -900,12 +902,21 @@
" <tr>\n",
" <th>31</th>\n",
" <td>2023</td>\n",
- " <td>1.80</td>\n",
- " <td>1.96</td>\n",
- " <td>1.90</td>\n",
+ " <td>1.82</td>\n",
+ " <td>1.95</td>\n",
+ " <td>1.89</td>\n",
" <td>NaN</td>\n",
" <td>1.88</td>\n",
" </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>2024</td>\n",
+ " <td>1.78</td>\n",
+ " <td>1.94</td>\n",
+ " <td>1.89</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1.85</td>\n",
+ " </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
@@ -943,7 +954,8 @@
"28 2020 1.27 1.42 1.37 NaN \n",
"29 2021 1.44 1.62 1.56 NaN \n",
"30 2022 1.86 1.88 1.83 NaN \n",
- "31 2023 1.80 1.96 1.90 NaN \n",
+ "31 2023 1.82 1.95 1.89 NaN \n",
+ "32 2024 1.78 1.94 1.89 NaN \n",
"\n",
" super_95_e10_ttc \n",
"0 NaN \n",
@@ -977,10 +989,11 @@
"28 1.35 \n",
"29 1.54 \n",
"30 1.78 \n",
- "31 1.88 "
+ "31 1.88 \n",
+ "32 1.85 "
]
},
- "execution_count": 98,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -1004,7 +1017,7 @@
},
{
"cell_type": "code",
- "execution_count": 90,
+ "execution_count": 13,
"id": "ca94602c-9898-479d-aa7b-1ede366e6850",
"metadata": {
"tags": []
@@ -1031,37 +1044,37 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
- " <th>diesel_ttcmean</th>\n",
- " <th>super_98_ttcmean</th>\n",
- " <th>super_95_ttcmean</th>\n",
- " <th>super_plombe_ttcmean</th>\n",
- " <th>super_95_e10_ttcmean</th>\n",
+ " <th>diesel_ttc</th>\n",
+ " <th>super_98_ttc</th>\n",
+ " <th>super_95_ttc</th>\n",
+ " <th>super_plombe_ttc</th>\n",
+ " <th>super_95_e10_ttc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
- " <td>32.000000</td>\n",
- " <td>32.000000</td>\n",
- " <td>22.000000</td>\n",
+ " <td>33.000000</td>\n",
+ " <td>33.000000</td>\n",
+ " <td>23.000000</td>\n",
" <td>14.000000</td>\n",
- " <td>5.000000</td>\n",
+ " <td>6.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
- " <td>1.059688</td>\n",
- " <td>1.274375</td>\n",
- " <td>1.394545</td>\n",
+ " <td>1.082121</td>\n",
+ " <td>1.294242</td>\n",
+ " <td>1.415652</td>\n",
" <td>1.018571</td>\n",
- " <td>1.608000</td>\n",
+ " <td>1.648333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
- " <td>0.358496</td>\n",
- " <td>0.318332</td>\n",
- " <td>0.228717</td>\n",
+ " <td>0.375681</td>\n",
+ " <td>0.333439</td>\n",
+ " <td>0.245298</td>\n",
" <td>0.136374</td>\n",
- " <td>0.217187</td>\n",
+ " <td>0.217937</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
@@ -1073,33 +1086,33 @@
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
- " <td>0.750000</td>\n",
- " <td>1.012500</td>\n",
- " <td>1.260000</td>\n",
+ " <td>0.770000</td>\n",
+ " <td>1.030000</td>\n",
+ " <td>1.270000</td>\n",
" <td>0.915000</td>\n",
- " <td>1.490000</td>\n",
+ " <td>1.502500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
- " <td>1.095000</td>\n",
- " <td>1.305000</td>\n",
- " <td>1.375000</td>\n",
+ " <td>1.100000</td>\n",
+ " <td>1.320000</td>\n",
+ " <td>1.380000</td>\n",
" <td>1.000000</td>\n",
- " <td>1.540000</td>\n",
+ " <td>1.660000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
- " <td>1.310000</td>\n",
- " <td>1.542500</td>\n",
- " <td>1.510000</td>\n",
+ " <td>1.340000</td>\n",
+ " <td>1.550000</td>\n",
+ " <td>1.535000</td>\n",
" <td>1.125000</td>\n",
- " <td>1.780000</td>\n",
+ " <td>1.832500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>1.860000</td>\n",
- " <td>1.960000</td>\n",
- " <td>1.900000</td>\n",
+ " <td>1.950000</td>\n",
+ " <td>1.890000</td>\n",
" <td>1.240000</td>\n",
" <td>1.880000</td>\n",
" </tr>\n",
@@ -1108,28 +1121,28 @@
"</div>"
],
"text/plain": [
- " diesel_ttcmean super_98_ttcmean super_95_ttcmean \\\n",
- "count 32.000000 32.000000 22.000000 \n",
- "mean 1.059688 1.274375 1.394545 \n",
- "std 0.358496 0.318332 0.228717 \n",
- "min 0.540000 0.780000 1.000000 \n",
- "25% 0.750000 1.012500 1.260000 \n",
- "50% 1.095000 1.305000 1.375000 \n",
- "75% 1.310000 1.542500 1.510000 \n",
- "max 1.860000 1.960000 1.900000 \n",
+ " diesel_ttc super_98_ttc super_95_ttc super_plombe_ttc \\\n",
+ "count 33.000000 33.000000 23.000000 14.000000 \n",
+ "mean 1.082121 1.294242 1.415652 1.018571 \n",
+ "std 0.375681 0.333439 0.245298 0.136374 \n",
+ "min 0.540000 0.780000 1.000000 0.810000 \n",
+ "25% 0.770000 1.030000 1.270000 0.915000 \n",
+ "50% 1.100000 1.320000 1.380000 1.000000 \n",
+ "75% 1.340000 1.550000 1.535000 1.125000 \n",
+ "max 1.860000 1.950000 1.890000 1.240000 \n",
"\n",
- " super_plombe_ttcmean super_95_e10_ttcmean \n",
- "count 14.000000 5.000000 \n",
- "mean 1.018571 1.608000 \n",
- "std 0.136374 0.217187 \n",
- "min 0.810000 1.350000 \n",
- "25% 0.915000 1.490000 \n",
- "50% 1.000000 1.540000 \n",
- "75% 1.125000 1.780000 \n",
- "max 1.240000 1.880000 "
+ " super_95_e10_ttc \n",
+ "count 6.000000 \n",
+ "mean 1.648333 \n",
+ "std 0.217937 \n",
+ "min 1.350000 \n",
+ "25% 1.502500 \n",
+ "50% 1.660000 \n",
+ "75% 1.832500 \n",
+ "max 1.880000 "
]
},
- "execution_count": 90,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -1140,7 +1153,7 @@
},
{
"cell_type": "code",
- "execution_count": 91,
+ "execution_count": 14,
"id": "d506ef42-c388-4690-b3dc-116a08a6c2c3",
"metadata": {
"tags": []
@@ -1151,18 +1164,18 @@
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
- "Int64Index: 32 entries, 0 to 31\n",
+ "RangeIndex: 33 entries, 0 to 32\n",
"Data columns (total 6 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 annee 32 non-null object \n",
- " 1 diesel_ttcmean 32 non-null float64\n",
- " 2 super_98_ttcmean 32 non-null float64\n",
- " 3 super_95_ttcmean 22 non-null float64\n",
- " 4 super_plombe_ttcmean 14 non-null float64\n",
- " 5 super_95_e10_ttcmean 5 non-null float64\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 annee 33 non-null object \n",
+ " 1 diesel_ttc 33 non-null float64\n",
+ " 2 super_98_ttc 33 non-null float64\n",
+ " 3 super_95_ttc 23 non-null float64\n",
+ " 4 super_plombe_ttc 14 non-null float64\n",
+ " 5 super_95_e10_ttc 6 non-null float64\n",
"dtypes: float64(5), object(1)\n",
- "memory usage: 1.8+ KB\n"
+ "memory usage: 1.7+ KB\n"
]
}
],
@@ -1172,7 +1185,7 @@
},
{
"cell_type": "code",
- "execution_count": 94,
+ "execution_count": 15,
"id": "02992af3-7110-4f17-9ac2-f4f0f2fdc4de",
"metadata": {
"tags": []
@@ -1209,49 +1222,49 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>0</th>\n",
- " <td>2023-08-01</td>\n",
- " <td>185.0</td>\n",
- " <td>199.0</td>\n",
- " <td>194.0</td>\n",
+ " <th>388</th>\n",
+ " <td>2024-05-01</td>\n",
+ " <td>173.0</td>\n",
+ " <td>197.0</td>\n",
+ " <td>192.0</td>\n",
" <td>NaN</td>\n",
- " <td>193.0</td>\n",
+ " <td>188.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>1</th>\n",
- " <td>2023-07-01</td>\n",
- " <td>172.0</td>\n",
- " <td>191.0</td>\n",
- " <td>185.0</td>\n",
+ " <th>387</th>\n",
+ " <td>2024-04-01</td>\n",
+ " <td>179.0</td>\n",
+ " <td>199.0</td>\n",
+ " <td>194.0</td>\n",
" <td>NaN</td>\n",
- " <td>184.0</td>\n",
+ " <td>191.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>2</th>\n",
- " <td>2023-06-01</td>\n",
- " <td>170.0</td>\n",
+ " <th>386</th>\n",
+ " <td>2024-03-01</td>\n",
+ " <td>180.0</td>\n",
" <td>194.0</td>\n",
- " <td>188.0</td>\n",
+ " <td>189.0</td>\n",
" <td>NaN</td>\n",
" <td>186.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>3</th>\n",
- " <td>2023-05-01</td>\n",
- " <td>169.0</td>\n",
- " <td>193.0</td>\n",
- " <td>187.0</td>\n",
+ " <th>385</th>\n",
+ " <td>2024-02-01</td>\n",
+ " <td>183.0</td>\n",
+ " <td>192.0</td>\n",
+ " <td>186.0</td>\n",
" <td>NaN</td>\n",
- " <td>185.0</td>\n",
+ " <td>183.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>4</th>\n",
- " <td>2023-04-01</td>\n",
- " <td>181.0</td>\n",
- " <td>200.0</td>\n",
- " <td>195.0</td>\n",
+ " <th>384</th>\n",
+ " <td>2024-01-01</td>\n",
+ " <td>175.0</td>\n",
+ " <td>187.0</td>\n",
+ " <td>182.0</td>\n",
" <td>NaN</td>\n",
- " <td>193.0</td>\n",
+ " <td>179.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
@@ -1263,7 +1276,7 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>375</th>\n",
+ " <th>4</th>\n",
" <td>1992-05-01</td>\n",
" <td>54.0</td>\n",
" <td>78.0</td>\n",
@@ -1272,7 +1285,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>376</th>\n",
+ " <th>3</th>\n",
" <td>1992-04-01</td>\n",
" <td>53.0</td>\n",
" <td>77.0</td>\n",
@@ -1281,7 +1294,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>377</th>\n",
+ " <th>2</th>\n",
" <td>1992-03-01</td>\n",
" <td>54.0</td>\n",
" <td>77.0</td>\n",
@@ -1290,7 +1303,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>378</th>\n",
+ " <th>1</th>\n",
" <td>1992-02-01</td>\n",
" <td>54.0</td>\n",
" <td>78.0</td>\n",
@@ -1299,7 +1312,7 @@
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>379</th>\n",
+ " <th>0</th>\n",
" <td>1992-01-01</td>\n",
" <td>54.0</td>\n",
" <td>78.0</td>\n",
@@ -1309,40 +1322,40 @@
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>380 rows × 6 columns</p>\n",
+ "<p>389 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" date diesel_ttc super_98_ttc super_95_ttc super_plombe_ttc \\\n",
- "0 2023-08-01 185.0 199.0 194.0 NaN \n",
- "1 2023-07-01 172.0 191.0 185.0 NaN \n",
- "2 2023-06-01 170.0 194.0 188.0 NaN \n",
- "3 2023-05-01 169.0 193.0 187.0 NaN \n",
- "4 2023-04-01 181.0 200.0 195.0 NaN \n",
+ "388 2024-05-01 173.0 197.0 192.0 NaN \n",
+ "387 2024-04-01 179.0 199.0 194.0 NaN \n",
+ "386 2024-03-01 180.0 194.0 189.0 NaN \n",
+ "385 2024-02-01 183.0 192.0 186.0 NaN \n",
+ "384 2024-01-01 175.0 187.0 182.0 NaN \n",
".. ... ... ... ... ... \n",
- "375 1992-05-01 54.0 78.0 NaN 81.0 \n",
- "376 1992-04-01 53.0 77.0 NaN 81.0 \n",
- "377 1992-03-01 54.0 77.0 NaN 81.0 \n",
- "378 1992-02-01 54.0 78.0 NaN 81.0 \n",
- "379 1992-01-01 54.0 78.0 NaN 80.0 \n",
+ "4 1992-05-01 54.0 78.0 NaN 81.0 \n",
+ "3 1992-04-01 53.0 77.0 NaN 81.0 \n",
+ "2 1992-03-01 54.0 77.0 NaN 81.0 \n",
+ "1 1992-02-01 54.0 78.0 NaN 81.0 \n",
+ "0 1992-01-01 54.0 78.0 NaN 80.0 \n",
"\n",
" super_95_e10_ttc \n",
- "0 193.0 \n",
- "1 184.0 \n",
- "2 186.0 \n",
- "3 185.0 \n",
- "4 193.0 \n",
+ "388 188.0 \n",
+ "387 191.0 \n",
+ "386 186.0 \n",
+ "385 183.0 \n",
+ "384 179.0 \n",
".. ... \n",
- "375 NaN \n",
- "376 NaN \n",
- "377 NaN \n",
- "378 NaN \n",
- "379 NaN \n",
+ "4 NaN \n",
+ "3 NaN \n",
+ "2 NaN \n",
+ "1 NaN \n",
+ "0 NaN \n",
"\n",
- "[380 rows x 6 columns]"
+ "[389 rows x 6 columns]"
]
},
- "execution_count": 94,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -1357,416 +1370,7 @@
},
{
"cell_type": "code",
- "execution_count": 96,
- "id": "17b3bb14-5ffe-42f3-a0f8-6164ea879b63",
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
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- " vertical-align: middle;\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>annee</th>\n",
- " <th>diesel_ttcmean</th>\n",
- " <th>super_98_ttcmean</th>\n",
- " <th>super_95_ttcmean</th>\n",
- " <th>super_plombe_ttcmean</th>\n",
- " <th>super_95_e10_ttcmean</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1992</td>\n",
- " <td>0.54</td>\n",
- " <td>0.78</td>\n",
- " <td>NaN</td>\n",
- " <td>0.81</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1993</td>\n",
- " <td>0.56</td>\n",
- " <td>0.79</td>\n",
- " <td>NaN</td>\n",
- " <td>0.84</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1994</td>\n",
- " <td>0.60</td>\n",
- " <td>0.82</td>\n",
- " <td>NaN</td>\n",
- " <td>0.87</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1995</td>\n",
- " <td>0.59</td>\n",
- " <td>0.87</td>\n",
- " <td>NaN</td>\n",
- " <td>0.90</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1996</td>\n",
- " <td>0.66</td>\n",
- " <td>0.92</td>\n",
- " <td>NaN</td>\n",
- " <td>0.96</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1997</td>\n",
- " <td>0.68</td>\n",
- " <td>0.96</td>\n",
- " <td>NaN</td>\n",
- " <td>0.99</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1998</td>\n",
- " <td>0.64</td>\n",
- " <td>0.93</td>\n",
- " <td>NaN</td>\n",
- " <td>0.96</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1999</td>\n",
- " <td>0.69</td>\n",
- " <td>0.96</td>\n",
- " <td>NaN</td>\n",
- " <td>1.01</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>2000</td>\n",
- " <td>0.85</td>\n",
- " <td>1.11</td>\n",
- " <td>NaN</td>\n",
- " <td>1.18</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>2001</td>\n",
- " <td>0.80</td>\n",
- " <td>1.05</td>\n",
- " <td>NaN</td>\n",
- " <td>1.13</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>2002</td>\n",
- " <td>0.77</td>\n",
- " <td>1.03</td>\n",
- " <td>1.00</td>\n",
- " <td>1.10</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>2003</td>\n",
- " <td>0.80</td>\n",
- " <td>1.04</td>\n",
- " <td>1.02</td>\n",
- " <td>1.11</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>2004</td>\n",
- " <td>0.89</td>\n",
- " <td>1.09</td>\n",
- " <td>1.08</td>\n",
- " <td>1.16</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>2005</td>\n",
- " <td>1.03</td>\n",
- " <td>1.21</td>\n",
- " <td>1.18</td>\n",
- " <td>1.24</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>2006</td>\n",
- " <td>1.09</td>\n",
- " <td>1.29</td>\n",
- " <td>1.25</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>2007</td>\n",
- " <td>1.10</td>\n",
- " <td>1.32</td>\n",
- " <td>1.29</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>2008</td>\n",
- " <td>1.28</td>\n",
- " <td>1.42</td>\n",
- " <td>1.38</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>2009</td>\n",
- " <td>1.01</td>\n",
- " <td>1.25</td>\n",
- " <td>1.22</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>2010</td>\n",
- " <td>1.16</td>\n",
- " <td>1.40</td>\n",
- " <td>1.36</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2011</td>\n",
- " <td>1.34</td>\n",
- " <td>1.55</td>\n",
- " <td>1.50</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2012</td>\n",
- " <td>1.41</td>\n",
- " <td>1.63</td>\n",
- " <td>1.59</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2013</td>\n",
- " <td>1.36</td>\n",
- " <td>1.60</td>\n",
- " <td>1.56</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2014</td>\n",
- " <td>1.30</td>\n",
- " <td>1.54</td>\n",
- " <td>1.50</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2015</td>\n",
- " <td>1.17</td>\n",
- " <td>1.41</td>\n",
- " <td>1.37</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2016</td>\n",
- " <td>1.11</td>\n",
- " <td>1.35</td>\n",
- " <td>1.32</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2017</td>\n",
- " <td>1.23</td>\n",
- " <td>1.45</td>\n",
- " <td>1.38</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2018</td>\n",
- " <td>1.44</td>\n",
- " <td>1.57</td>\n",
- " <td>1.51</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2019</td>\n",
- " <td>1.44</td>\n",
- " <td>1.56</td>\n",
- " <td>1.51</td>\n",
- " <td>NaN</td>\n",
- " <td>1.49</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2020</td>\n",
- " <td>1.27</td>\n",
- " <td>1.42</td>\n",
- " <td>1.37</td>\n",
- " <td>NaN</td>\n",
- " <td>1.35</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2021</td>\n",
- " <td>1.44</td>\n",
- " <td>1.62</td>\n",
- " <td>1.56</td>\n",
- " <td>NaN</td>\n",
- " <td>1.54</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2022</td>\n",
- " <td>1.86</td>\n",
- " <td>1.88</td>\n",
- " <td>1.83</td>\n",
- " <td>NaN</td>\n",
- " <td>1.78</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2023</td>\n",
- " <td>1.80</td>\n",
- " <td>1.96</td>\n",
- " <td>1.90</td>\n",
- " <td>NaN</td>\n",
- " <td>1.88</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " annee diesel_ttcmean super_98_ttcmean super_95_ttcmean \\\n",
- "0 1992 0.54 0.78 NaN \n",
- "1 1993 0.56 0.79 NaN \n",
- "2 1994 0.60 0.82 NaN \n",
- "3 1995 0.59 0.87 NaN \n",
- "4 1996 0.66 0.92 NaN \n",
- "5 1997 0.68 0.96 NaN \n",
- "6 1998 0.64 0.93 NaN \n",
- "7 1999 0.69 0.96 NaN \n",
- "8 2000 0.85 1.11 NaN \n",
- "9 2001 0.80 1.05 NaN \n",
- "10 2002 0.77 1.03 1.00 \n",
- "11 2003 0.80 1.04 1.02 \n",
- "12 2004 0.89 1.09 1.08 \n",
- "13 2005 1.03 1.21 1.18 \n",
- "14 2006 1.09 1.29 1.25 \n",
- "15 2007 1.10 1.32 1.29 \n",
- "16 2008 1.28 1.42 1.38 \n",
- "17 2009 1.01 1.25 1.22 \n",
- "18 2010 1.16 1.40 1.36 \n",
- "19 2011 1.34 1.55 1.50 \n",
- "20 2012 1.41 1.63 1.59 \n",
- "21 2013 1.36 1.60 1.56 \n",
- "22 2014 1.30 1.54 1.50 \n",
- "23 2015 1.17 1.41 1.37 \n",
- "24 2016 1.11 1.35 1.32 \n",
- "25 2017 1.23 1.45 1.38 \n",
- "26 2018 1.44 1.57 1.51 \n",
- "27 2019 1.44 1.56 1.51 \n",
- "28 2020 1.27 1.42 1.37 \n",
- "29 2021 1.44 1.62 1.56 \n",
- "30 2022 1.86 1.88 1.83 \n",
- "31 2023 1.80 1.96 1.90 \n",
- "\n",
- " super_plombe_ttcmean super_95_e10_ttcmean \n",
- "0 0.81 NaN \n",
- "1 0.84 NaN \n",
- "2 0.87 NaN \n",
- "3 0.90 NaN \n",
- "4 0.96 NaN \n",
- "5 0.99 NaN \n",
- "6 0.96 NaN \n",
- "7 1.01 NaN \n",
- "8 1.18 NaN \n",
- "9 1.13 NaN \n",
- "10 1.10 NaN \n",
- "11 1.11 NaN \n",
- "12 1.16 NaN \n",
- "13 1.24 NaN \n",
- "14 NaN NaN \n",
- "15 NaN NaN \n",
- "16 NaN NaN \n",
- "17 NaN NaN \n",
- "18 NaN NaN \n",
- "19 NaN NaN \n",
- "20 NaN NaN \n",
- "21 NaN NaN \n",
- "22 NaN NaN \n",
- "23 NaN NaN \n",
- "24 NaN NaN \n",
- "25 NaN NaN \n",
- "26 NaN NaN \n",
- "27 NaN 1.49 \n",
- "28 NaN 1.35 \n",
- "29 NaN 1.54 \n",
- "30 NaN 1.78 \n",
- "31 NaN 1.88 "
- ]
- },
- "execution_count": 96,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_ann_hecto"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 100,
+ "execution_count": 17,
"id": "372a7fe6-f63d-496b-87b8-171c1888ae81",
"metadata": {
"tags": []
@@ -2084,12 +1688,21 @@
" <tr>\n",
" <th>31</th>\n",
" <td>2023</td>\n",
- " <td>180.0</td>\n",
- " <td>196.0</td>\n",
- " <td>190.0</td>\n",
+ " <td>182.0</td>\n",
+ " <td>195.0</td>\n",
+ " <td>189.0</td>\n",
" <td>NaN</td>\n",
" <td>188.0</td>\n",
" </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>2024</td>\n",
+ " <td>178.0</td>\n",
+ " <td>194.0</td>\n",
+ " <td>189.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>185.0</td>\n",
+ " </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
@@ -2127,7 +1740,8 @@
"28 2020 127.0 142.0 137.0 NaN \n",
"29 2021 144.0 162.0 156.0 NaN \n",
"30 2022 186.0 188.0 183.0 NaN \n",
- "31 2023 180.0 196.0 190.0 NaN \n",
+ "31 2023 182.0 195.0 189.0 NaN \n",
+ "32 2024 178.0 194.0 189.0 NaN \n",
"\n",
" super_95_e10_ttc \n",
"0 NaN \n",
@@ -2161,10 +1775,11 @@
"28 135.0 \n",
"29 154.0 \n",
"30 178.0 \n",
- "31 188.0 "
+ "31 188.0 \n",
+ "32 185.0 "
]
},
- "execution_count": 100,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -2176,16 +1791,21 @@
"df_ann_hecto.to_csv(\"prix_hectolitre_annuel_carburant.csv\", index=False, index_label=False)\n",
"df_ann_hecto"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "14a78242",
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
- "interpreter": {
- "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
- },
"kernelspec": {
- "display_name": "prix-carburant",
+ "display_name": ".venv",
"language": "python",
- "name": "prix-carburant"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -2197,7 +1817,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.2"
+ "version": "3.11.9"
},
"toc-autonumbering": true,
"toc-showmarkdowntxt": false
diff --git a/notebook_gouv/prix_carburant_gouv.ipynb b/notebook_gouv/prix_carburant_gouv.ipynb
index 87cf205637ea9a22cd2b30b6ea561d6fb87fb3ae..beb636cb025498aa5ef9a37ad27570dbfbfe1491 100644
--- a/notebook_gouv/prix_carburant_gouv.ipynb
+++ b/notebook_gouv/prix_carburant_gouv.ipynb
@@ -1,8 +1,20 @@
{
"cells": [
+ {
+ "cell_type": "markdown",
+ "id": "2d9d5c62",
+ "metadata": {},
+ "source": [
+ "# Récupération des prix de Roulez-Eco\n",
+ "\n",
+ "Nécessite une clef API de l'INSEE pour fonctionner. A demander sur https://api.insee.fr/catalogue/site/themes/wso2/subthemes/insee/pages/application.jag?name=DefaultApplication\n",
+ "\n",
+ "Une fois les fichiers générés il faut les copier dans OpenFisca-France-Indirect-Taxation."
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"id": "d60999c6-2ae5-430b-934c-a95d309a496c",
"metadata": {
"tags": []
@@ -26,13 +38,13 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "523b21af-b7db-4fba-9ba5-831774c8e699",
"metadata": {},
"outputs": [],
"source": [
"START_DATE=2007\n",
- "END_DATE=2023"
+ "END_DATE=2024"
]
},
{
@@ -47,245 +59,35 @@
"name": "stderr",
"output_type": "stream",
"text": [
- " 0%| | 0/17 [00:00<?, ?it/s]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2007\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 6%|▌ | 1/17 [00:01<00:27, 1.71s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2008\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 12%|█▏ | 2/17 [00:04<00:31, 2.13s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2009\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 18%|█▊ | 3/17 [00:06<00:30, 2.18s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2010\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 24%|██▎ | 4/17 [00:08<00:30, 2.33s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2011\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 29%|██▉ | 5/17 [00:10<00:25, 2.10s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2012\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 35%|███▌ | 6/17 [00:12<00:24, 2.18s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2013\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 41%|████ | 7/17 [00:15<00:24, 2.41s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2014\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 47%|████▋ | 8/17 [00:17<00:20, 2.25s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2015\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 53%|█████▎ | 9/17 [00:20<00:18, 2.35s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2016\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 59%|█████▉ | 10/17 [00:23<00:18, 2.61s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2017\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 65%|██████▍ | 11/17 [00:26<00:16, 2.70s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2018\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 71%|███████ | 12/17 [00:28<00:12, 2.60s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2019\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 76%|███████▋ | 13/17 [00:31<00:10, 2.72s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2020\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 82%|████████▏ | 14/17 [00:34<00:07, 2.63s/it]"
+ " 0%| | 0/2 [00:00<?, ?it/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2021\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- " 88%|████████▊ | 15/17 [00:36<00:05, 2.60s/it]"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2022\n"
+ "https://donnees.roulez-eco.fr/opendata/annee/2023\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- " 94%|█████████▍| 16/17 [00:40<00:02, 2.97s/it]"
+ " 50%|█████ | 1/2 [00:03<00:03, 3.24s/it]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "https://donnees.roulez-eco.fr/opendata/annee/2023\n"
+ "https://donnees.roulez-eco.fr/opendata/annee/2024\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "100%|██████████| 17/17 [00:43<00:00, 2.56s/it]\n"
+ "100%|██████████| 2/2 [00:04<00:00, 2.14s/it]\n"
]
}
],
@@ -394,7 +196,7 @@
" # Cache non trouvé, on appel l'INSEE\n",
" headers = {\n",
" 'Accept': 'application/json',\n",
- " 'Authorization': 'Bearer 64011ad9-a729-3fc1-bcfe-93521808e51a', #Le changement est ici\n",
+ " 'Authorization': 'Bearer 1c3c3200-1412-3497-b2d3-5f851755d5a4', #Le changement est ici\n",
" }\n",
" params = {\n",
" 'date': date,\n",
@@ -406,340 +208,129 @@
" print(error)\n",
" raise Exception(error)\n",
" contenu = response.json()\n",
- " # l'API est limité à 30 requêtes par minute\n",
- " time.sleep(2.1)\n",
- " if isinstance(contenu,dict):\n",
- " print(contenu)\n",
- " cache_code_region_from_code_departement[code_departement][date]=contenu[0]['code']\n",
- " return cache_code_region_from_code_departement[code_departement][date]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "id": "0f05b801-1601-4d78-858e-30fdadf4608a",
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'27'"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "code_region_from_code_departement(\"21\",\"2023-01-01\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "id": "c5f67bd6-5cf9-4e09-a587-f4b2454f4618",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "#Les APIs sont relativement fragile, il arrive qu'il y ai des erreurs 500 ou 502. \n",
- "#Dans le cas là if faut supprimer l'année qui était en train de boucler de \"prix_by_region\".\n",
- "#Il faut ensuite recommencer la boucle à partir de cette date.\n",
- "def debug_if_error_500(date_debut,date_fin):\n",
- " for region, prix_by_carburant in prix_by_region.items():\n",
- " for carburant,prix_by_annee in prix_by_carburant.items():\n",
- " for annee in range(date_debut,date_fin+1):\n",
- " if annee in prix_by_annee:\n",
- " del prix_by_annee[annee]\n",
- "# debug_if_error_500(2007,2007)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "id": "14979ff2-770a-4a6c-8780-13a76a98512a",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "# tree = ET.parse('unzip_file/PrixCarburants_annuel_2021.xml')\n",
- "# pdv_liste = tree.getroot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "id": "bb42e6c2-f9e8-49da-a372-88b9b869993b",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "citycode_lat_long = {} "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "id": "4d1a148e-db02-42b5-b4b9-35c1ab57d924",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "prix_by_region = {}"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "id": "2cd9550a-5c9b-4787-a372-d4f8309eaf9d",
- "metadata": {
- "tags": []
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2007\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 7904/7904 [12:25<00:00, 10.61it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2008\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 8394/8394 [05:08<00:00, 27.18it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2009\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 9387/9387 [05:14<00:00, 29.85it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2010\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 10130/10130 [05:17<00:00, 31.86it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2011\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 10001/10001 [04:29<00:00, 37.09it/s]\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2012\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 10256/10256 [04:32<00:00, 37.59it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2013\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 10807/10807 [04:26<00:00, 40.50it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "code_departement is None\n",
- "2014\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 11064/11064 [04:15<00:00, 43.24it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2015\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 12333/12333 [04:45<00:00, 43.15it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2016\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 12391/12391 [04:52<00:00, 42.33it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2017\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 12559/12559 [06:51<00:00, 30.52it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2018\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 12785/12785 [07:37<00:00, 27.96it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2019\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 12969/12969 [05:42<00:00, 37.89it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2020\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 13188/13188 [05:32<00:00, 39.63it/s] \n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2021\n"
- ]
- },
+ " # l'API est limité à 30 requêtes par minute\n",
+ " time.sleep(2.1)\n",
+ " if isinstance(contenu,dict):\n",
+ " print(contenu)\n",
+ " cache_code_region_from_code_departement[code_departement][date]=contenu[0]['code']\n",
+ " return cache_code_region_from_code_departement[code_departement][date]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "0f05b801-1601-4d78-858e-30fdadf4608a",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
{
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "100%|██████████| 13386/13386 [05:03<00:00, 44.13it/s] \n"
- ]
- },
+ "data": {
+ "text/plain": [
+ "'27'"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "code_region_from_code_departement(\"21\",\"2023-01-01\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "c5f67bd6-5cf9-4e09-a587-f4b2454f4618",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "#Les APIs sont relativement fragile, il arrive qu'il y ai des erreurs 500 ou 502. \n",
+ "#Dans le cas là if faut supprimer l'année qui était en train de boucler de \"prix_by_region\".\n",
+ "#Il faut ensuite recommencer la boucle à partir de cette date.\n",
+ "def debug_if_error_500(date_debut,date_fin):\n",
+ " for region, prix_by_carburant in prix_by_region.items():\n",
+ " for carburant,prix_by_annee in prix_by_carburant.items():\n",
+ " for annee in range(date_debut,date_fin+1):\n",
+ " if annee in prix_by_annee:\n",
+ " del prix_by_annee[annee]\n",
+ "# debug_if_error_500(2007,2007)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "14979ff2-770a-4a6c-8780-13a76a98512a",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "# tree = ET.parse('unzip_file/PrixCarburants_annuel_2021.xml')\n",
+ "# pdv_liste = tree.getroot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "bb42e6c2-f9e8-49da-a372-88b9b869993b",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "citycode_lat_long = {} "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "4d1a148e-db02-42b5-b4b9-35c1ab57d924",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "prix_by_region = {}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "2cd9550a-5c9b-4787-a372-d4f8309eaf9d",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "2022\n"
+ "2023\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "100%|██████████| 13645/13645 [05:37<00:00, 40.39it/s] \n"
+ "100%|██████████| 13837/13837 [18:48<00:00, 12.26it/s] \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "2023\n"
+ "2024\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "100%|██████████| 13755/13755 [04:46<00:00, 47.93it/s] \n"
+ "100%|██████████| 13959/13959 [04:47<00:00, 48.62it/s] \n"
]
}
],
@@ -919,11 +510,11 @@
{
"data": {
"text/plain": [
- "{'region': '75',\n",
- " 'carburant': 'GPLc',\n",
- " 'annee': 2023,\n",
+ "{'region': '52',\n",
+ " 'carburant': 'SP98',\n",
+ " 'annee': 2024,\n",
" 'mois': 'moyenne',\n",
- " 'prix_moyen': 1.0}"
+ " 'prix_moyen': 1.91}"
]
},
"execution_count": 16,
@@ -988,43 +579,43 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
+ " <td>2023</td>\n",
" <td>1</td>\n",
- " <td>1020.41</td>\n",
+ " <td>1.93</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>2</td>\n",
- " <td>1026.61</td>\n",
+ " <td>2023</td>\n",
+ " <td>5</td>\n",
+ " <td>1.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>3</td>\n",
- " <td>1042.85</td>\n",
+ " <td>2023</td>\n",
+ " <td>6</td>\n",
+ " <td>1.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>4</td>\n",
- " <td>1070.66</td>\n",
+ " <td>2023</td>\n",
+ " <td>7</td>\n",
+ " <td>1.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>5</td>\n",
- " <td>1077.74</td>\n",
+ " <td>2023</td>\n",
+ " <td>8</td>\n",
+ " <td>1.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
@@ -1035,65 +626,65 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32781</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
- " <td>5</td>\n",
- " <td>1.01</td>\n",
+ " <th>2023</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
+ " <td>9</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32782</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2024</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>10</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32783</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2025</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>11</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32784</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2026</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>12</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32785</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2027</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>moyenne</td>\n",
- " <td>1.00</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>32786 rows × 5 columns</p>\n",
+ "<p>2028 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen\n",
- "0 82 Gazole 2007 1 1020.41\n",
- "1 82 Gazole 2007 2 1026.61\n",
- "2 82 Gazole 2007 3 1042.85\n",
- "3 82 Gazole 2007 4 1070.66\n",
- "4 82 Gazole 2007 5 1077.74\n",
- "... ... ... ... ... ...\n",
- "32781 75 GPLc 2023 5 1.01\n",
- "32782 75 GPLc 2023 10 0.99\n",
- "32783 75 GPLc 2023 11 0.99\n",
- "32784 75 GPLc 2023 12 0.99\n",
- "32785 75 GPLc 2023 moyenne 1.00\n",
+ " region carburant annee mois prix_moyen\n",
+ "0 84 Gazole 2023 1 1.93\n",
+ "1 84 Gazole 2023 5 1.70\n",
+ "2 84 Gazole 2023 6 1.71\n",
+ "3 84 Gazole 2023 7 1.74\n",
+ "4 84 Gazole 2023 8 1.87\n",
+ "... ... ... ... ... ...\n",
+ "2023 52 SP98 2024 9 1.91\n",
+ "2024 52 SP98 2024 10 1.91\n",
+ "2025 52 SP98 2024 11 1.91\n",
+ "2026 52 SP98 2024 12 1.91\n",
+ "2027 52 SP98 2024 moyenne 1.91\n",
"\n",
- "[32786 rows x 5 columns]"
+ "[2028 rows x 5 columns]"
]
},
"execution_count": 18,
@@ -1143,66 +734,14 @@
" </tr>\n",
" </thead>\n",
" <tbody>\n",
- " <tr>\n",
- " <th>207</th>\n",
- " <td>82</td>\n",
- " <td>Gazole</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>428</th>\n",
- " <td>82</td>\n",
- " <td>SP95</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>649</th>\n",
- " <td>82</td>\n",
- " <td>GPLc</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>870</th>\n",
- " <td>82</td>\n",
- " <td>E85</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1065</th>\n",
- " <td>82</td>\n",
- " <td>E10</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1208</th>\n",
- " <td>82</td>\n",
- " <td>SP98</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen\n",
- "207 82 Gazole 2022 moyenne NaN\n",
- "428 82 SP95 2022 moyenne NaN\n",
- "649 82 GPLc 2022 moyenne NaN\n",
- "870 82 E85 2022 moyenne NaN\n",
- "1065 82 E10 2022 moyenne NaN\n",
- "1208 82 SP98 2022 moyenne NaN"
+ "Empty DataFrame\n",
+ "Columns: [region, carburant, annee, mois, prix_moyen]\n",
+ "Index: []"
]
},
"execution_count": 19,
@@ -1251,66 +790,14 @@
" </tr>\n",
" </thead>\n",
" <tbody>\n",
- " <tr>\n",
- " <th>32252</th>\n",
- " <td>75</td>\n",
- " <td>Gazole</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>1.87</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32356</th>\n",
- " <td>75</td>\n",
- " <td>SP95</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>1.84</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32460</th>\n",
- " <td>75</td>\n",
- " <td>E85</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>0.82</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32564</th>\n",
- " <td>75</td>\n",
- " <td>SP98</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>1.89</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32668</th>\n",
- " <td>75</td>\n",
- " <td>E10</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>1.79</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32772</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2022</td>\n",
- " <td>moyenne</td>\n",
- " <td>0.86</td>\n",
- " </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen\n",
- "32252 75 Gazole 2022 moyenne 1.87\n",
- "32356 75 SP95 2022 moyenne 1.84\n",
- "32460 75 E85 2022 moyenne 0.82\n",
- "32564 75 SP98 2022 moyenne 1.89\n",
- "32668 75 E10 2022 moyenne 1.79\n",
- "32772 75 GPLc 2022 moyenne 0.86"
+ "Empty DataFrame\n",
+ "Columns: [region, carburant, annee, mois, prix_moyen]\n",
+ "Index: []"
]
},
"execution_count": 20,
@@ -1360,38 +847,38 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>32783</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2025</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>11</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32784</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2026</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>12</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32785</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2027</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>moyenne</td>\n",
- " <td>1.00</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen\n",
- "32783 75 GPLc 2023 11 0.99\n",
- "32784 75 GPLc 2023 12 0.99\n",
- "32785 75 GPLc 2023 moyenne 1.00"
+ " region carburant annee mois prix_moyen\n",
+ "2025 52 SP98 2024 11 1.91\n",
+ "2026 52 SP98 2024 12 1.91\n",
+ "2027 52 SP98 2024 moyenne 1.91"
]
},
"execution_count": 21,
@@ -1414,7 +901,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 22,
"id": "238df7cb-b1bb-41f3-a447-05c625c46bc8",
"metadata": {
"tags": []
@@ -1448,61 +935,61 @@
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
- " <td>32786.000000</td>\n",
- " <td>21089.000000</td>\n",
+ " <td>2028.000000</td>\n",
+ " <td>2006.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
- " <td>2016.101507</td>\n",
- " <td>1.236566</td>\n",
+ " <td>2023.500000</td>\n",
+ " <td>1.592886</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
- " <td>4.662337</td>\n",
- " <td>0.340319</td>\n",
+ " <td>0.500123</td>\n",
+ " <td>0.416359</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
- " <td>2007.000000</td>\n",
- " <td>0.605400</td>\n",
+ " <td>2023.000000</td>\n",
+ " <td>0.840000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
- " <td>2012.000000</td>\n",
- " <td>0.891460</td>\n",
+ " <td>2023.000000</td>\n",
+ " <td>1.040000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
- " <td>2017.000000</td>\n",
- " <td>1.311400</td>\n",
+ " <td>2023.500000</td>\n",
+ " <td>1.830000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
- " <td>2020.000000</td>\n",
- " <td>1.501820</td>\n",
+ " <td>2024.000000</td>\n",
+ " <td>1.910000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
- " <td>2023.000000</td>\n",
- " <td>2.270000</td>\n",
+ " <td>2024.000000</td>\n",
+ " <td>2.060000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " annee prix_moyen\n",
- "count 32786.000000 21089.000000\n",
- "mean 2016.101507 1.236566\n",
- "std 4.662337 0.340319\n",
- "min 2007.000000 0.605400\n",
- "25% 2012.000000 0.891460\n",
- "50% 2017.000000 1.311400\n",
- "75% 2020.000000 1.501820\n",
- "max 2023.000000 2.270000"
+ " annee prix_moyen\n",
+ "count 2028.000000 2006.000000\n",
+ "mean 2023.500000 1.592886\n",
+ "std 0.500123 0.416359\n",
+ "min 2023.000000 0.840000\n",
+ "25% 2023.000000 1.040000\n",
+ "50% 2023.500000 1.830000\n",
+ "75% 2024.000000 1.910000\n",
+ "max 2024.000000 2.060000"
]
},
- "execution_count": 4,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -1524,7 +1011,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 23,
"id": "428ffee1-3ef4-4738-a447-7e5958435042",
"metadata": {
"tags": []
@@ -1561,43 +1048,43 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
+ " <td>2023</td>\n",
" <td>1</td>\n",
- " <td>1.02041</td>\n",
+ " <td>1.93</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>2</td>\n",
- " <td>1.02661</td>\n",
+ " <td>2023</td>\n",
+ " <td>5</td>\n",
+ " <td>1.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>3</td>\n",
- " <td>1.04285</td>\n",
+ " <td>2023</td>\n",
+ " <td>6</td>\n",
+ " <td>1.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>4</td>\n",
- " <td>1.07066</td>\n",
+ " <td>2023</td>\n",
+ " <td>7</td>\n",
+ " <td>1.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
- " <td>82</td>\n",
+ " <td>84</td>\n",
" <td>Gazole</td>\n",
- " <td>2007</td>\n",
- " <td>5</td>\n",
- " <td>1.07774</td>\n",
+ " <td>2023</td>\n",
+ " <td>8</td>\n",
+ " <td>1.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
@@ -1608,68 +1095,68 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32781</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
- " <td>5</td>\n",
- " <td>1.01000</td>\n",
+ " <th>2023</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
+ " <td>9</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32782</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2024</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>10</td>\n",
- " <td>0.99000</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32783</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2025</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>11</td>\n",
- " <td>0.99000</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32784</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2026</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>12</td>\n",
- " <td>0.99000</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>32785</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>2027</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>moyenne</td>\n",
- " <td>1.00000</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>32786 rows × 5 columns</p>\n",
+ "<p>2028 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen\n",
- "0 82 Gazole 2007 1 1.02041\n",
- "1 82 Gazole 2007 2 1.02661\n",
- "2 82 Gazole 2007 3 1.04285\n",
- "3 82 Gazole 2007 4 1.07066\n",
- "4 82 Gazole 2007 5 1.07774\n",
- "... ... ... ... ... ...\n",
- "32781 75 GPLc 2023 5 1.01000\n",
- "32782 75 GPLc 2023 10 0.99000\n",
- "32783 75 GPLc 2023 11 0.99000\n",
- "32784 75 GPLc 2023 12 0.99000\n",
- "32785 75 GPLc 2023 moyenne 1.00000\n",
+ " region carburant annee mois prix_moyen\n",
+ "0 84 Gazole 2023 1 1.93\n",
+ "1 84 Gazole 2023 5 1.70\n",
+ "2 84 Gazole 2023 6 1.71\n",
+ "3 84 Gazole 2023 7 1.74\n",
+ "4 84 Gazole 2023 8 1.87\n",
+ "... ... ... ... ... ...\n",
+ "2023 52 SP98 2024 9 1.91\n",
+ "2024 52 SP98 2024 10 1.91\n",
+ "2025 52 SP98 2024 11 1.91\n",
+ "2026 52 SP98 2024 12 1.91\n",
+ "2027 52 SP98 2024 moyenne 1.91\n",
"\n",
- "[32786 rows x 5 columns]"
+ "[2028 rows x 5 columns]"
]
},
- "execution_count": 5,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -1709,36 +1196,12 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 24,
"id": "3985c3d7-f4d0-43b9-a9db-394cd83534ea",
"metadata": {
"tags": []
},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "En 2015 il manque 1 région : ['02']\n",
- "En 2016 il manque 17 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02']\n",
- "En 2017 il manque 17 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02']\n",
- "En 2018 il manque 18 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02' '04']\n",
- "En 2019 il manque 18 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02' '04']\n",
- "En 2020 il manque 18 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02' '04']\n",
- "En 2021 il manque 18 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02' '04']\n",
- "En 2022 il manque 18 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02' '04']\n",
- "En 2023 il manque 18 région : ['82' '22' '83' '73' '21' '91' '25' '54' '74' '26' '72' '43' '23' '31'\n",
- " '41' '42' '02' '04']\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"for year in range(START_DATE,END_DATE+1):\n",
" df = df_liste_prix_mensuel_region.query(\"carburant=='Gazole' and annee==@year and mois=='moyenne' and prix_moyen!=prix_moyen\")\n",
@@ -1749,7 +1212,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 25,
"id": "8a712431-90ff-42bb-9449-3f89bbaf2a15",
"metadata": {
"tags": []
@@ -1785,41 +1248,41 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>30261</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>1869</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>10</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>30262</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>1870</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>11</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>30263</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>1871</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>12</td>\n",
- " <td>0.99</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen_by_litre\n",
- "30261 75 GPLc 2023 10 0.99\n",
- "30262 75 GPLc 2023 11 0.99\n",
- "30263 75 GPLc 2023 12 0.99"
+ " region carburant annee mois prix_moyen_by_litre\n",
+ "1869 52 SP98 2024 10 1.91\n",
+ "1870 52 SP98 2024 11 1.91\n",
+ "1871 52 SP98 2024 12 1.91"
]
},
- "execution_count": 7,
+ "execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
@@ -1838,7 +1301,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 26,
"id": "0803570e-3b2c-4f0d-bc8b-aa34a3f6dfa6",
"metadata": {
"tags": []
@@ -1873,38 +1336,38 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>2519</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2021</td>\n",
- " <td>0.87</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2520</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2022</td>\n",
+ " <th>153</th>\n",
+ " <td>52</td>\n",
+ " <td>E85</td>\n",
+ " <td>2024</td>\n",
" <td>0.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>2521</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
+ " <th>154</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
" <td>2023</td>\n",
- " <td>1.00</td>\n",
+ " <td>1.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>155</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
+ " <td>1.91</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee prix_moyen_par_litre\n",
- "2519 75 GPLc 2021 0.87\n",
- "2520 75 GPLc 2022 0.86\n",
- "2521 75 GPLc 2023 1.00"
+ " region carburant annee prix_moyen_par_litre\n",
+ "153 52 E85 2024 0.86\n",
+ "154 52 SP98 2023 1.94\n",
+ "155 52 SP98 2024 1.91"
]
},
- "execution_count": 8,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
@@ -1924,7 +1387,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 27,
"id": "c48fc388-00cb-4c5d-a373-29be65b2559e",
"metadata": {
"tags": []
@@ -1960,41 +1423,41 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>30261</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>1869</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>10</td>\n",
- " <td>99.0</td>\n",
+ " <td>191.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>30262</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>1870</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>11</td>\n",
- " <td>99.0</td>\n",
+ " <td>191.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>30263</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2023</td>\n",
+ " <th>1871</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
" <td>12</td>\n",
- " <td>99.0</td>\n",
+ " <td>191.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee mois prix_moyen_par_hectolitre\n",
- "30261 75 GPLc 2023 10 99.0\n",
- "30262 75 GPLc 2023 11 99.0\n",
- "30263 75 GPLc 2023 12 99.0"
+ " region carburant annee mois prix_moyen_par_hectolitre\n",
+ "1869 52 SP98 2024 10 191.0\n",
+ "1870 52 SP98 2024 11 191.0\n",
+ "1871 52 SP98 2024 12 191.0"
]
},
- "execution_count": 9,
+ "execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
@@ -2012,7 +1475,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 28,
"id": "6d54c6f0-0d79-4292-b13b-f1ada4a621a6",
"metadata": {
"tags": []
@@ -2047,38 +1510,38 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>2519</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2021</td>\n",
- " <td>87.1</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2520</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
- " <td>2022</td>\n",
+ " <th>153</th>\n",
+ " <td>52</td>\n",
+ " <td>E85</td>\n",
+ " <td>2024</td>\n",
" <td>86.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>2521</th>\n",
- " <td>75</td>\n",
- " <td>GPLc</td>\n",
+ " <th>154</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
" <td>2023</td>\n",
- " <td>100.0</td>\n",
+ " <td>194.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>155</th>\n",
+ " <td>52</td>\n",
+ " <td>SP98</td>\n",
+ " <td>2024</td>\n",
+ " <td>191.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " region carburant annee prix_moyen_par_hectolitre\n",
- "2519 75 GPLc 2021 87.1\n",
- "2520 75 GPLc 2022 86.0\n",
- "2521 75 GPLc 2023 100.0"
+ " region carburant annee prix_moyen_par_hectolitre\n",
+ "153 52 E85 2024 86.0\n",
+ "154 52 SP98 2023 194.0\n",
+ "155 52 SP98 2024 191.0"
]
},
- "execution_count": 10,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
@@ -2097,7 +1560,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 29,
"id": "9d0cc5e4-1054-4efc-aa17-b23b0a46b2e0",
"metadata": {
"tags": []
@@ -2131,22 +1594,22 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>91</th>\n",
- " <td>SP98</td>\n",
- " <td>2021</td>\n",
- " <td>1.621</td>\n",
+ " <th>9</th>\n",
+ " <td>SP95</td>\n",
+ " <td>2024</td>\n",
+ " <td>1.883</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>92</th>\n",
+ " <th>10</th>\n",
" <td>SP98</td>\n",
- " <td>2022</td>\n",
- " <td>1.856</td>\n",
+ " <td>2023</td>\n",
+ " <td>1.954</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>93</th>\n",
+ " <th>11</th>\n",
" <td>SP98</td>\n",
- " <td>2023</td>\n",
- " <td>1.972</td>\n",
+ " <td>2024</td>\n",
+ " <td>1.931</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@@ -2154,12 +1617,12 @@
],
"text/plain": [
" carburant annee prix_moyen_par_litre\n",
- "91 SP98 2021 1.621\n",
- "92 SP98 2022 1.856\n",
- "93 SP98 2023 1.972"
+ "9 SP95 2024 1.883\n",
+ "10 SP98 2023 1.954\n",
+ "11 SP98 2024 1.931"
]
},
- "execution_count": 11,
+ "execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
@@ -2174,7 +1637,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 30,
"id": "11c180d5-6c67-4a13-8b75-7f13dfd80712",
"metadata": {
"tags": []
@@ -2209,38 +1672,38 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>1125</th>\n",
+ " <th>141</th>\n",
" <td>SP98</td>\n",
- " <td>2023</td>\n",
+ " <td>2024</td>\n",
" <td>10</td>\n",
- " <td>1.991</td>\n",
+ " <td>1.931</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>1126</th>\n",
+ " <th>142</th>\n",
" <td>SP98</td>\n",
- " <td>2023</td>\n",
+ " <td>2024</td>\n",
" <td>11</td>\n",
- " <td>1.991</td>\n",
+ " <td>1.931</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>1127</th>\n",
+ " <th>143</th>\n",
" <td>SP98</td>\n",
- " <td>2023</td>\n",
+ " <td>2024</td>\n",
" <td>12</td>\n",
- " <td>1.991</td>\n",
+ " <td>1.931</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " carburant annee mois prix_moyen_by_litre\n",
- "1125 SP98 2023 10 1.991\n",
- "1126 SP98 2023 11 1.991\n",
- "1127 SP98 2023 12 1.991"
+ " carburant annee mois prix_moyen_by_litre\n",
+ "141 SP98 2024 10 1.931\n",
+ "142 SP98 2024 11 1.931\n",
+ "143 SP98 2024 12 1.931"
]
},
- "execution_count": 12,
+ "execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
@@ -2255,7 +1718,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 31,
"id": "581f9f82-9820-41a2-bed7-513c40626fb2",
"metadata": {
"tags": []
@@ -2289,22 +1752,22 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>81</th>\n",
- " <td>SP98</td>\n",
- " <td>2021</td>\n",
- " <td>162.08</td>\n",
+ " <th>10</th>\n",
+ " <td>SP95</td>\n",
+ " <td>2024</td>\n",
+ " <td>188.31</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>87</th>\n",
+ " <th>5</th>\n",
" <td>SP98</td>\n",
- " <td>2022</td>\n",
- " <td>185.62</td>\n",
+ " <td>2023</td>\n",
+ " <td>195.38</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>93</th>\n",
+ " <th>11</th>\n",
" <td>SP98</td>\n",
- " <td>2023</td>\n",
- " <td>197.23</td>\n",
+ " <td>2024</td>\n",
+ " <td>193.08</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@@ -2312,12 +1775,12 @@
],
"text/plain": [
" carburant annee prix_moyen_par_hectolitre\n",
- "81 SP98 2021 162.08\n",
- "87 SP98 2022 185.62\n",
- "93 SP98 2023 197.23"
+ "10 SP95 2024 188.31\n",
+ "5 SP98 2023 195.38\n",
+ "11 SP98 2024 193.08"
]
},
- "execution_count": 39,
+ "execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
@@ -2342,9 +1805,9 @@
],
"metadata": {
"kernelspec": {
- "display_name": "prix-carburant",
+ "display_name": ".venv",
"language": "python",
- "name": "prix-carburant"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -2356,7 +1819,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.2"
+ "version": "3.11.9"
}
},
"nbformat": 4,