From 0cf1dc330fe72a1ea3786b1cbf82baa7ee5df606 Mon Sep 17 00:00:00 2001 From: lmoraine-ensae Date: Thu, 12 Mar 2026 21:28:58 +0000 Subject: [PATCH] ajout --- Challenge_cleaning.ipynb | 1964 ++++++++++++++++++++++++++------------ 1 file changed, 1376 insertions(+), 588 deletions(-) diff --git a/Challenge_cleaning.ipynb b/Challenge_cleaning.ipynb index 897a3f2..207a23a 100644 --- a/Challenge_cleaning.ipynb +++ b/Challenge_cleaning.ipynb @@ -60,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 142, "id": "0b66aee0-b726-4a57-9461-6a4550a625a8", "metadata": {}, "outputs": [ @@ -259,7 +259,7 @@ "4 2016-11-30 35.368 22489.4502 22489.4502 " ] }, - "execution_count": 3, + "execution_count": 142, "metadata": {}, "output_type": "execute_result" } @@ -946,22 +946,22 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 216, "id": "8ec0295d-add3-4674-a657-13bba49f09bf", "metadata": {}, "outputs": [], "source": [ "# Score initial = poids des comptes à la date de référence\n", - "score_history = []\n", + "score_history3 = []\n", "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n", - "score_history.append({\n", + "score_history3.append({\n", " \"date\": ref_date,\n", " \"total_score\": sum(scores.values())\n", "})\n", "\n", "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n", "\n", - "alpha = 0.01 # sensibilité, 1 = décroissance égale à l'écart moyen au-delà de tolérance\n", + "alpha = 0.05 # sensibilité, 1 = décroissance égale à l'écart moyen au-delà de tolérance\n", "tol = 0.05 # tolérance 5%\n", "\n", "for i in range(1, len(dates_sorted)):\n", @@ -975,7 +975,7 @@ " new_scores[account] = scores[account] * decay\n", "\n", " scores = new_scores\n", - " score_history.append({\n", + " score_history3.append({\n", " \"date\": date_t1,\n", " \"total_score\": sum(scores.values())\n", " })" @@ -983,13 +983,13 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 146, "id": "edadf900-04e6-4fca-8e58-a5ed38cfd2e6", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -999,7 +999,7 @@ } ], "source": [ - "score_df = pd.DataFrame(score_history_c)\n", + "score_df = pd.DataFrame(score_history)\n", "score_df = score_df.sort_values('date')\n", "\n", "plt.plot(score_df['date'], score_df['total_score'], marker='o',markersize=4)\n", @@ -1013,7 +1013,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 147, "id": "eb308001-cdec-43b1-935d-0dc9dc59c192", "metadata": {}, "outputs": [ @@ -1120,7 +1120,7 @@ "[130 rows x 2 columns]" ] }, - "execution_count": 25, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -1173,13 +1173,13 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": 218, "id": "e3c20686-38b7-473b-86e1-c8db01251098", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1192,11 +1192,11 @@ "# Analyse pour différentes sensibilités\n", "\n", "import matplotlib.pyplot as plt\n", - "score_df3 = pd.DataFrame(score_history_c)\n", + "score_df3 = pd.DataFrame(score_history2)\n", "score_df3 = score_df3.sort_values('date')\n", - "score_df2 = pd.DataFrame(score_history_c)\n", + "score_df2 = pd.DataFrame(score_history)\n", "score_df2 = score_df2.sort_values('date')\n", - "score_df1 = pd.DataFrame(score_history)\n", + "score_df1 = pd.DataFrame(score_history3)\n", "score_df1 = score_df1.sort_values('date')\n", "\n", "plt.figure(figsize=(10,5))\n", @@ -1204,18 +1204,22 @@ "# Tracer chaque score_history\n", "\n", "plt.plot(score_df2['date'], score_df2['total_score'], marker='o',markersize=2, label='alpha=0.01')\n", + "#plt.plot(score_df2['date'], score_df2['total_score'], marker='o',markersize=2, label='Seuil = 0.9 %')\n", "plt.plot(score_df1['date'], score_df1['total_score'], marker='o',markersize=2, label='alpha=0.05')\n", "plt.plot(score_df3['date'], score_df3['total_score'], marker='o',markersize=2, label='alpha=0.1')\n", + "#plt.plot(score_df3['date'], score_df3['total_score'], marker='o',markersize=2, label='Seuil = 1 %')\n", + "\n", + "#plt.plot(score_df1['date'], score_df1['total_score'], marker='o',markersize=2, label='Sans chirurgie')\n", "\n", "# Inverser l'axe X si tu veux remonter dans le temps\n", "plt.gca().invert_xaxis()\n", "\n", "# Limites et labels\n", - "plt.ylim(0.9, 1.05)\n", + "#plt.ylim(0.9, 1.05)\n", "plt.xlabel(\"Date\")\n", "plt.ylabel(\"Total Score\")\n", "plt.title(\"Évolution du score pour différentes sensibilités\")\n", - "\n", + "#plt.title(\"Évolution du score après chirurgie\")\n", "# Grille et légende\n", "plt.grid(True)\n", "plt.legend()\n", @@ -1225,7 +1229,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 148, "id": "d85c7835-b4f3-4d0e-a9e3-53bb3a1420c7", "metadata": {}, "outputs": [], @@ -1282,7 +1286,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 149, "id": "76c1d97f-3e73-4305-a161-4a12abc9ffc2", "metadata": {}, "outputs": [ @@ -1356,7 +1360,7 @@ "4 2025-10-31 200127809 0.024872" ] }, - "execution_count": 78, + "execution_count": 149, "metadata": {}, "output_type": "execute_result" } @@ -1368,7 +1372,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 150, "id": "0e0239f2-ec24-4a43-925b-365a087de3e4", "metadata": {}, "outputs": [ @@ -1410,7 +1414,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 151, "id": "dd2f09f1-e586-4f8d-925b-b7b8d2809541", "metadata": {}, "outputs": [], @@ -1447,7 +1451,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 152, "id": "3a6d1927-200e-48ee-8e96-f09e182ae340", "metadata": {}, "outputs": [ @@ -1489,7 +1493,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 153, "id": "bb58a3a7-34c8-4b1b-a31d-7861f9336725", "metadata": {}, "outputs": [], @@ -1508,546 +1512,18 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 195, "id": "4415773b-c5e8-44fb-965d-e53f74037e2c", "metadata": {}, "outputs": [], "source": [ - "ruptures = score_accounts_df[score_accounts_df[\"relative_drop\"] > 0.01]" + "ruptures = score_accounts_df[score_accounts_df[\"relative_drop\"] > 0.01]\n", + "ruptures2 = score_accounts_df[score_accounts_df[\"relative_drop\"] > 0.0095]" ] }, { "cell_type": "code", - "execution_count": 121, - "id": "38ad7718-e561-4457-8bcd-a67e09f027d8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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dateaccountscorescore_prevrelative_drop
198232022-01-312001271750.0001440.0001430.010900
189612022-03-312001271750.0001470.0001440.016491
169272022-07-312001271830.0015600.0015400.012848
93852024-01-312001273310.0002450.0002140.127564
132802023-04-302001273450.0001880.0000001.000000
94012024-01-312001273450.0002160.0001880.129203
208352021-10-312001273560.0011550.0011330.019231
44572024-12-312001273560.0012010.0011820.015673
117852023-07-312001273750.0011770.0011640.011002
203842021-11-302001274430.0013830.0013680.010832
190912022-02-282001274430.0014470.0014010.031917
3982025-10-312001274550.0001710.0001690.011677
166212022-08-312001274790.0004700.0000001.000000
157592022-10-312001274790.0004750.0004700.010020
111572023-09-302001274950.0001890.0000001.000000
1662025-10-312001275540.0009410.0008500.096969
126142023-05-312001275790.0016000.0015680.019538
96822023-12-312001276130.0006790.0004700.307807
141322023-02-282001276390.0002390.0002340.020886
173992022-06-302001277310.0009730.0008240.152497
100342023-11-302001277430.0015490.0015210.017847
98062023-12-312001284730.0002710.0000001.000000
175312022-06-302001316480.0003490.0003410.021279
161792022-09-302001317360.0005210.0004860.066359
151862022-11-302001374670.0016310.0015800.031048
143242023-01-312001374670.0016560.0016370.011322
130312023-04-302001374670.0017420.0016670.043261
126002023-05-312001374670.0017660.0017420.013685
104452023-10-312001374670.0019890.0017780.105985
91522024-01-312001374670.0020190.0019980.010172
502025-10-312001379970.0046740.0046180.012157
205392021-11-303653040.0000460.0000450.012108
201082021-12-313653040.0000460.0000460.010058
196772022-01-313653040.0000480.0000460.039179
192462022-02-283653040.0000510.0000480.058795
175222022-06-303653040.0000530.0000520.011141
136432023-03-313653040.0000650.0000540.163563
132122023-04-303653040.0000660.0000650.015525
127812023-05-313653040.0000820.0000660.199242
119192023-07-313653040.0000870.0000830.048745
114882023-08-313653040.0000880.0000870.013252
89022024-02-293653040.0000920.0000910.012791
80402024-04-303653040.0000930.0000920.010325
76092024-05-313653040.0000950.0000930.012915
67472024-07-313653040.0000990.0000950.038845
63162024-08-313653040.0001000.0000990.011412
58852024-09-303653040.0001050.0001000.041680
50232024-11-303653040.0001110.0001050.046012
45922024-12-313653040.0001150.0001110.037865
24372025-05-313653040.0001390.0001180.147957
20062025-06-303653040.0003610.0001390.614563
15752025-07-313653040.0003710.0003610.027594
7132025-09-303653040.0003790.0003730.015225
\n", - "
" - ], - "text/plain": [ - " date account score score_prev relative_drop\n", - "19823 2022-01-31 200127175 0.000144 0.000143 0.010900\n", - "18961 2022-03-31 200127175 0.000147 0.000144 0.016491\n", - "16927 2022-07-31 200127183 0.001560 0.001540 0.012848\n", - "9385 2024-01-31 200127331 0.000245 0.000214 0.127564\n", - "13280 2023-04-30 200127345 0.000188 0.000000 1.000000\n", - "9401 2024-01-31 200127345 0.000216 0.000188 0.129203\n", - "20835 2021-10-31 200127356 0.001155 0.001133 0.019231\n", - "4457 2024-12-31 200127356 0.001201 0.001182 0.015673\n", - "11785 2023-07-31 200127375 0.001177 0.001164 0.011002\n", - "20384 2021-11-30 200127443 0.001383 0.001368 0.010832\n", - "19091 2022-02-28 200127443 0.001447 0.001401 0.031917\n", - "398 2025-10-31 200127455 0.000171 0.000169 0.011677\n", - "16621 2022-08-31 200127479 0.000470 0.000000 1.000000\n", - "15759 2022-10-31 200127479 0.000475 0.000470 0.010020\n", - "11157 2023-09-30 200127495 0.000189 0.000000 1.000000\n", - "166 2025-10-31 200127554 0.000941 0.000850 0.096969\n", - "12614 2023-05-31 200127579 0.001600 0.001568 0.019538\n", - "9682 2023-12-31 200127613 0.000679 0.000470 0.307807\n", - "14132 2023-02-28 200127639 0.000239 0.000234 0.020886\n", - "17399 2022-06-30 200127731 0.000973 0.000824 0.152497\n", - "10034 2023-11-30 200127743 0.001549 0.001521 0.017847\n", - "9806 2023-12-31 200128473 0.000271 0.000000 1.000000\n", - "17531 2022-06-30 200131648 0.000349 0.000341 0.021279\n", - "16179 2022-09-30 200131736 0.000521 0.000486 0.066359\n", - "15186 2022-11-30 200137467 0.001631 0.001580 0.031048\n", - "14324 2023-01-31 200137467 0.001656 0.001637 0.011322\n", - "13031 2023-04-30 200137467 0.001742 0.001667 0.043261\n", - "12600 2023-05-31 200137467 0.001766 0.001742 0.013685\n", - "10445 2023-10-31 200137467 0.001989 0.001778 0.105985\n", - "9152 2024-01-31 200137467 0.002019 0.001998 0.010172\n", - "50 2025-10-31 200137997 0.004674 0.004618 0.012157\n", - "20539 2021-11-30 365304 0.000046 0.000045 0.012108\n", - "20108 2021-12-31 365304 0.000046 0.000046 0.010058\n", - "19677 2022-01-31 365304 0.000048 0.000046 0.039179\n", - "19246 2022-02-28 365304 0.000051 0.000048 0.058795\n", - "17522 2022-06-30 365304 0.000053 0.000052 0.011141\n", - "13643 2023-03-31 365304 0.000065 0.000054 0.163563\n", - "13212 2023-04-30 365304 0.000066 0.000065 0.015525\n", - "12781 2023-05-31 365304 0.000082 0.000066 0.199242\n", - "11919 2023-07-31 365304 0.000087 0.000083 0.048745\n", - "11488 2023-08-31 365304 0.000088 0.000087 0.013252\n", - "8902 2024-02-29 365304 0.000092 0.000091 0.012791\n", - "8040 2024-04-30 365304 0.000093 0.000092 0.010325\n", - "7609 2024-05-31 365304 0.000095 0.000093 0.012915\n", - "6747 2024-07-31 365304 0.000099 0.000095 0.038845\n", - "6316 2024-08-31 365304 0.000100 0.000099 0.011412\n", - "5885 2024-09-30 365304 0.000105 0.000100 0.041680\n", - "5023 2024-11-30 365304 0.000111 0.000105 0.046012\n", - "4592 2024-12-31 365304 0.000115 0.000111 0.037865\n", - "2437 2025-05-31 365304 0.000139 0.000118 0.147957\n", - "2006 2025-06-30 365304 0.000361 0.000139 0.614563\n", - "1575 2025-07-31 365304 0.000371 0.000361 0.027594\n", - "713 2025-09-30 365304 0.000379 0.000373 0.015225" - ] - }, - "execution_count": 121, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ruptures" - ] - }, - { - "cell_type": "code", - "execution_count": 122, + "execution_count": 198, "id": "3cecbc48-9ee8-4f81-b523-00561be292dc", "metadata": {}, "outputs": [], @@ -2062,7 +1538,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 199, "id": "30d11762-99be-4139-8b94-64f009290fdd", "metadata": {}, "outputs": [ @@ -2301,7 +1777,7 @@ "21 365304 2025-09-30 0.000379 0.000373 0.015225" ] }, - "execution_count": 123, + "execution_count": 199, "metadata": {}, "output_type": "execute_result" } @@ -2312,7 +1788,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 158, "id": "3da97871-c9e3-427b-9c8a-28034fe93cc2", "metadata": {}, "outputs": [], @@ -2322,28 +1798,28 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 193, "id": "fed34a3d-c499-412b-83ee-690f22d3b923", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "53" + "141" ] }, - "execution_count": 125, + "execution_count": 193, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "len(ruptures)" + "len(ruptures2)" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 160, "id": "72534b99-1125-43cf-a06c-f6958164cc2a", "metadata": {}, "outputs": [], @@ -2360,7 +1836,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 161, "id": "75c53c57-64ad-4c7a-829a-c77b4afdcc23", "metadata": {}, "outputs": [], @@ -2377,6 +1853,9 @@ " \n", " # Tous les ISIN impliqués\n", " all_isins = set(st_t.keys())\n", + "\n", + " if len(all_isins) == 0:\n", + " return account, 1\n", " \n", " # Décroissance initiale avec le même code\n", " st_t1_current = stocks_dict.get(date_t1, {}).get(account, {})\n", @@ -2594,7 +2073,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 141, "id": "8b239ffa-2986-4212-af74-f0d4e1753748", "metadata": {}, "outputs": [ @@ -2995,7 +2474,7 @@ "148 2025-10-31 200127375 0.001203 0.001202 0.000419" ] }, - "execution_count": 127, + "execution_count": 141, "metadata": {}, "output_type": "execute_result" } @@ -3006,26 +2485,475 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 208, "id": "92467723-1d7a-4eb7-bbf1-acb7ac60ce4a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "0\n", + "2\n", + "9\n", + "3\n", + "12\n", + "4\n", + "13\n", + "5\n", + "15\n", + "6\n", + "15\n", + "7\n", + "15\n", + "8\n", + "17\n", + "9\n", + "17\n", + "10\n", + "18\n", + "11\n", + "22\n", + "12\n", + "24\n", + "13\n", + "27\n", + "14\n", + "31\n", + "15\n", + "34\n", + "16\n", + "34\n", + 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"/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n", + " decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "54\n", + "157\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n", + " best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n", + "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n", + " decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "55\n", + "158\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n", + " best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n", + "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean 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des scores\n", "\n", - "score_history_c = []\n", - "score_history_accounts_c = []\n", + "score_history_c1 = []\n", + "score_history_accounts_c1 = []\n", "\n", "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n", - "dic_account = {}\n", + "dic_account1 = {}\n", "\n", - "score_history_c.append({\n", + "score_history_c1.append({\n", " \"date\": ref_date,\n", " \"total_score\": sum(scores.values())\n", "})\n", "\n", "for account, score in scores.items():\n", - " score_history_accounts_c.append({\n", + " score_history_accounts_c1.append({\n", " \"date\": ref_date,\n", " \"account\": account,\n", " \"score\": score\n", @@ -3037,50 +2965,910 @@ "tol = 0.05\n", "\n", "for i in range(1, len(dates_sorted)):\n", - "\n", + " print(i)\n", + " print(len(dic_account1))\n", " date_t = dates_sorted[i-1]\n", " date_t1 = dates_sorted[i]\n", "\n", " new_scores = scores.copy()\n", "\n", " for account in scores.keys():\n", - " if account not in dic_account:\n", + " if account not in dic_account1:\n", " decay = score_decay_vector_max(account, date_t, date_t1, tol=tol, alpha=alpha)\n", - " if decay > 0.99: \n", + " if decay > 0.991: \n", " new_scores[account] = scores[account] * decay\n", " else:\n", - " chirurgie = surgery_for_account(account,date_t,date_t1, tol = 0.01, alpha = 0.01)\n", - " dic_account[account] = chirurgie[0]\n", + " chirurgie = surgery_for_account(account,date_t,date_t1, tol = 0.009, alpha = 0.01)\n", + " dic_account1[account] = chirurgie[0]\n", " new_scores[account] = scores[account] * chirurgie[1]\n", " else: \n", - " decay = score_decay_vector_max(dic_account[account], date_t, date_t1, tol=tol, alpha=alpha)\n", - " if decay > 0.99: \n", + " account_final = dic_account1[account]\n", + " decay = score_decay_vector_max(account_final, date_t, date_t1, tol=tol, alpha=alpha)\n", + " if decay > 0.991: \n", " new_scores[account] = scores[account] * decay\n", " else:\n", - " chirurgie = surgery_for_account(dic_account[account],date_t,date_t1, tol = 0.01, alpha = 0.01)\n", - " dic_account[dic_account[account]] = chirurgie[0]\n", + " chirurgie = surgery_for_account(account_final,date_t,date_t1, tol = 0.009, alpha = 0.01)\n", + " dic_account1[account_final] = chirurgie[0]\n", " new_scores[account] = scores[account] * chirurgie[1]\n", " scores = new_scores\n", "\n", " # score total\n", - " score_history_c.append({\n", + " score_history_c1.append({\n", " \"date\": date_t1,\n", " \"total_score\": sum(scores.values())\n", " })\n", "\n", " # score par compte\n", " for account, score in scores.items():\n", - " score_history_accounts_c.append({\n", + " score_history_accounts_c1.append({\n", " \"date\": date_t1,\n", " \"account\": account,\n", " \"score\": score\n", " })" ] }, + { + "cell_type": "code", + "execution_count": 223, + "id": "40c88aeb-5507-40ec-be36-ff17f7e89b74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 0\n", + "2 9\n", + "3 12\n", + "4 13\n", + "5 15\n", + "6 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np.nanmean(relative_error_clip_c))\n", + "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n", + " best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n", + "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n", + " decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "125 404\n", + "126 404\n", + "127 405\n", + "128 407\n", + "129 408\n" + ] + } + ], + "source": [ + "score_history_c1 = []\n", + "score_history_accounts_c1 = []\n", + "\n", + "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n", + "\n", + "# historique des chirurgies\n", + "dic_account2 = {}\n", + "\n", + "def get_final_account(account):\n", + "\n", + " visited = set()\n", + "\n", + " while account in dic_account2:\n", + "\n", + " if account in visited:\n", + " # cycle détecté\n", + " break\n", + "\n", + " visited.add(account)\n", + " account = dic_account2[account][-1][\"to\"]\n", + "\n", + " return account\n", + "\n", + "\n", + "# score initial\n", + "score_history_c1.append({\n", + " \"date\": ref_date,\n", + " \"total_score\": sum(scores.values())\n", + "})\n", + "\n", + "for account, score in scores.items():\n", + " score_history_accounts_c1.append({\n", + " \"date\": ref_date,\n", + " \"account\": account,\n", + " \"score\": score\n", + " })\n", + "\n", + "\n", + "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n", + "\n", + "alpha = 0.01\n", + "tol = 0.05\n", + "\n", + "for i in range(1, len(dates_sorted)):\n", + "\n", + " print(i, len(dic_account2))\n", + "\n", + " date_t = dates_sorted[i-1]\n", + " date_t1 = dates_sorted[i]\n", + "\n", + " new_scores = {}\n", + "\n", + " for account, score in scores.items():\n", + "\n", + " account_final = get_final_account(account)\n", + "\n", + " decay = score_decay_vector_max(account_final, date_t, date_t1, tol=tol, alpha=alpha)\n", + "\n", + " if decay > 0.991:\n", + "\n", + " new_scores[account] = score * decay\n", + "\n", + " else:\n", + "\n", + " new_account, coef = surgery_for_account(\n", + " account_final,\n", + " date_t,\n", + " date_t1,\n", + " tol=0.009,\n", + " alpha=0.01\n", + " )\n", + "\n", + " # enregistrer la chirurgie\n", + " dic_account2.setdefault(account_final, []).append({\n", + " \"date\": date_t1,\n", + " \"to\": new_account\n", + " })\n", + "\n", + " new_scores[account] = score * coef\n", + "\n", + " scores = new_scores\n", + "\n", + " # score total\n", + " score_history_c1.append({\n", + " \"date\": date_t1,\n", + " \"total_score\": sum(scores.values())\n", + " })\n", + "\n", + " # score par compte\n", + " for account, score in scores.items():\n", + " score_history_accounts_c1.append({\n", + " \"date\": date_t1,\n", + " \"account\": account,\n", + " \"score\": score\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "id": "66dd1559-6a0c-4c56-8a1b-a93d9ec23ec4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'200137997': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200129910'}],\n", + " '200127554': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200127131'}],\n", + " '200142554': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200137361'}],\n", + " '200138977': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200102125'}],\n", + " '200142564': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200127579'}],\n", + " '200142552': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200096331'}],\n", + " '200142553': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200000566'}],\n", + " '200142569': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200127634'}],\n", + " '200127455': [{'date': Timestamp('2025-09-30 00:00:00'), 'to': '200127348'}],\n", + " '200142524': [{'date': Timestamp('2025-08-31 00:00:00'), 'to': '420207'}],\n", + " '365304': [{'date': Timestamp('2025-08-31 00:00:00'), 'to': '200127703'}],\n", + " 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