diff --git a/data/dandi_nwb_stats.tsv b/data/dandi_nwb_stats.tsv new file mode 100644 index 0000000..367ac2c --- /dev/null +++ b/data/dandi_nwb_stats.tsv @@ -0,0 +1,284 @@ + identifier created modified size species nauthors ecephys ophys icephys numberOfSubjects numberOfFiles has_related_pub +0 000003 2020-03-15 22:56:55.655000+00:00 2020-11-06 17:20:30.673000+00:00 2559248010229 House mouse 3 True False False 16.0 101 True +1 000004 2020-03-16 21:48:04.265000+00:00 2020-10-03 07:01:25.356000+00:00 6197474020 Human 13 True False False 59.0 87 True +2 000005 2020-03-16 22:52:44.757000+00:00 2020-04-09 20:59:35.377000+00:00 46436686324 House mouse 4 True False True 55.0 148 True +3 000006 2020-03-17 13:30:38.667000+00:00 2020-04-09 21:00:01.759000+00:00 139600500 House mouse 2 True False False 12.0 53 True +4 000007 2020-03-17 15:01:40.811000+00:00 2022-11-22 00:21:36.001459+00:00 199439472 House mouse 8 True False False 13.0 54 True +5 000008 2020-03-17 18:20:55.694000+00:00 2021-07-06 12:50:34.290153+00:00 11922334254 House mouse 17 False False True 266.0 1328 True +6 000009 2020-03-18 20:26:50.059000+00:00 2020-04-09 21:00:26.423000+00:00 12919706852 House mouse 6 True False True 31.0 173 True +7 000010 2020-03-19 15:44:00.241000+00:00 2022-11-22 00:21:11.515608+00:00 40006570644 House mouse 5 True True False 23.0 158 True +8 000011 2020-03-19 16:07:28.472000+00:00 2020-04-09 21:01:42.210000+00:00 32435325542 House mouse 4 True False False 19.0 92 True +9 000012 2020-03-19 16:21:49.854000+00:00 2020-05-27 16:58:00.574000+00:00 487524911 Human 2 False False True 4.0 297 False +10 000013 2020-03-19 16:26:21.576000+00:00 2020-12-05 18:02:25.212000+00:00 11408735292 House mouse 5 False False True 23.0 52 True +11 000015 2020-03-19 17:22:51.212000+00:00 2020-04-10 14:57:48.649000+00:00 17159727736 House mouse 4 False True False 6.0 210 True +12 000016 2020-03-19 19:10:05.697000+00:00 2020-12-05 18:04:23.533000+00:00 62572042499 2 False True False 4.0 135 True +13 000017 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9788560252 Human 8 True False False 21.0 41 False +143 000470 2023-04-02 10:24:42.776758+00:00 2023-04-02 10:24:42.776782+00:00 128199784 House mouse 1 False False False 1.0 1 False +144 000472 2023-04-06 19:58:28.232167+00:00 2024-02-01 18:24:48.985537+00:00 18442605394 C. elegans 5 False True False 10.0 10 False +145 000473 2023-04-12 14:12:01.809823+00:00 2023-04-12 14:12:01.809848+00:00 113558681447 House mouse 18 True False False 25.0 25 False +146 000481 2023-04-17 18:35:01.452343+00:00 2023-04-17 18:35:01.452360+00:00 6457880 Rabbit 1 True False False 1.0 2 False +147 000482 2023-04-18 02:06:34.582548+00:00 2023-04-18 02:26:07.197958+00:00 79941664 Rabbit 1 True False False 1.0 1 False +148 000483 2023-04-20 14:24:50.438334+00:00 2023-04-21 21:44:53.466059+00:00 695653683544 House mouse 2 False True False 20.0 128 False +149 000488 2023-04-21 17:07:16.030644+00:00 2023-06-07 21:39:21.888674+00:00 61460302104 House mouse 5 False True False 14.0 43 False +150 000489 2023-04-21 18:50:06.335247+00:00 2023-04-21 18:50:06.335264+00:00 18594422294 Cattle 4 False False False 18.0 18 False +151 000491 2023-04-26 03:36:47.214653+00:00 2023-04-26 13:18:19.364750+00:00 5324803662 House mouse 4 False True False 9.0 14 False +152 000529 2023-05-03 19:36:12.264986+00:00 2023-05-03 19:36:12.265002+00:00 5265108 Rat 1 False False False 3.0 27 False +153 000535 2023-05-09 23:58:56.843461+00:00 2023-06-07 21:39:05.689189+00:00 6827396992 House mouse 6 False True False 15.0 115 False +154 000537 2023-05-10 13:47:21.630926+00:00 2023-05-10 20:04:34.720627+00:00 6440628584 Human 3 False False False 125.0 125 False +155 000538 2023-05-10 16:43:21.402593+00:00 2023-05-10 20:04:57.323867+00:00 1954273200 Human 3 False False False 11.0 11 False +156 000540 2023-05-11 21:01:04.628860+00:00 2023-05-11 21:01:04.628878+00:00 1003937347960 Rat 3 False False False 33.0 990 False +157 000541 2023-05-12 00:36:15.913485+00:00 2024-02-01 18:24:34.648554+00:00 30525162874 C. elegans 9 False 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17:34:19.127841+00:00 1545387836482 House mouse 5 True False False 17.0 117 True +166 000554 2023-05-31 12:15:43.584820+00:00 2023-05-31 12:15:43.584837+00:00 129066795249 Rat 1 True False False 4.0 36 False +167 000559 2023-06-09 17:30:08.811501+00:00 2023-12-10 16:16:54.103512+00:00 14753252327642 Human 25 False False False 69.0 4425 True +168 000565 2023-06-17 01:48:24.158039+00:00 2024-03-20 22:31:51.972802+00:00 46250221065 C. elegans 3 False True False 21.0 21 False +169 000566 2023-06-19 00:03:34.728513+00:00 2023-06-19 20:21:17.103854+00:00 631788071 Fruit fly 1 False True False 1.0 1 False +170 000568 2023-06-28 15:39:24.241528+00:00 2023-06-28 15:40:05.500042+00:00 904756915175 House mouse 5 True False False 4.0 138 True +171 000569 2023-06-28 23:52:27.567158+00:00 2023-07-05 17:43:05.182552+00:00 5622625870 Pigtail macaque 5 False False True 9.0 103 False +172 000570 2023-06-29 20:25:43.159623+00:00 2023-07-05 17:42:52.656910+00:00 4628300559 Human 6 False False True 58.0 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2023-08-04 13:32:03.181357+00:00 145522643652 House mouse 9 True False False 4.0 124 False +181 000623 2023-08-31 18:13:43.895059+00:00 2024-01-30 20:30:16.845094+00:00 27744749325 Human 11 True False False 16.0 29 False +182 000624 2023-09-01 00:18:09.594806+00:00 2023-09-12 17:52:25.576100+00:00 131866973888 Rat 7 True False False 10.0 45 False +183 000625 2023-09-06 16:30:08.447291+00:00 2023-11-14 00:13:09.621247+00:00 74904128 House mouse 2 False True False 1.0 3 False +184 000626 2023-09-06 20:33:29.251788+00:00 2023-09-06 20:33:29.251804+00:00 18295752 Rhesus monkey 1 False False False 1.0 1 False +185 000628 2023-09-09 01:39:26.115969+00:00 2023-09-09 01:39:26.115992+00:00 52741296155 Rhesus monkey 4 False False False 13.0 2037 False +186 000629 2023-09-10 19:49:56.118436+00:00 2023-09-10 19:49:56.118454+00:00 16808409955494 Rat 5 True False False 4.0 114 False +187 000630 2023-09-13 20:50:35.329036+00:00 2023-09-13 20:57:50.067334+00:00 8073127848 Human 5 False False True 53.0 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23:26:28.568424+00:00 1199530787667 House mouse 0 True False False 33.0 33 False +196 000640 2023-09-22 00:16:23.478717+00:00 2023-11-08 17:03:15.403469+00:00 30511569704 Rat 2 False False False 24.0 339 False +197 000673 2023-09-26 20:41:29.787964+00:00 2024-01-18 21:11:46.214641+00:00 23447043476 Human 11 True False False 36.0 44 False +198 000678 2023-10-03 18:14:28.045050+00:00 2023-10-03 18:14:28.045078+00:00 8108311416 House mouse 5 False False False 13.0 391 False +199 000683 2023-10-12 21:24:42.300639+00:00 2023-10-12 21:24:42.300660+00:00 31732204 House mouse 1 False True False 1.0 1 False +200 000686 2023-10-17 15:00:46.437652+00:00 2023-10-17 15:00:46.437675+00:00 11736585692 Cattle 5 False False False 22.0 11 False +201 000687 2023-10-17 15:30:18.404487+00:00 2023-11-06 22:42:52.235917+00:00 4614611787654 House mouse 3 True False False 8.0 9 False +202 000688 2023-10-19 20:06:41.315772+00:00 2023-10-19 20:12:02.790484+00:00 13179483710 Macaca fascicularis - Cynomolgus 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03:59:51.607430+00:00 70529896 House mouse 3 False False False 4.0 366 False +218 000768 2023-12-18 18:50:53.146481+00:00 2024-03-04 20:39:45.028191+00:00 3153299188 Macaca nemestrina 5 False False True 3.0 51 False +219 000769 2023-12-18 18:57:38.221514+00:00 2023-12-18 18:57:38.221533+00:00 10299057874 Human 5 False False True 20.0 177 False +220 000773 2024-01-04 19:31:15.719296+00:00 2024-06-04 17:22:06.980271+00:00 1281980278656 Clonal raider ant 1 False True False 21.0 15246 False +221 000774 2024-01-09 05:13:50.004252+00:00 2024-04-25 19:23:32.682510+00:00 1358542068 House mouse 2 True False False 10.0 10 False +222 000776 2024-01-09 20:32:27.801335+00:00 2024-02-01 18:22:41.972446+00:00 1011743300552 C. elegans 18 False True False 38.0 38 False +223 000871 2024-01-19 18:43:55.864337+00:00 2024-02-15 17:05:04.042727+00:00 6263867545400 House mouse 5 False True False 2.0 284 False +224 000875 2024-01-24 15:59:59.693440+00:00 2024-01-24 15:59:59.693461+00:00 3607438018 Cattle 5 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01:45:05.960750+00:00 2024-07-18 17:48:34.784484+00:00 23491138657 House mouse 12 False False False 307.0 4133 True +248 000978 2024-05-01 14:47:00.350607+00:00 2024-05-11 02:59:36.596318+00:00 322981345984 Rat 2 True False False 8.0 9 False +249 000983 2024-05-06 20:59:12.283124+00:00 2024-05-13 23:07:14.713125+00:00 7441656 Unidentified 3 False False False 66.0 38 False +250 000987 2024-05-10 15:19:29.192835+00:00 2024-05-10 16:32:42.376194+00:00 1163037056 House mouse 3 True False False 3.0 14 False +251 000988 2024-05-13 21:21:48.364170+00:00 2024-05-13 21:22:30.550318+00:00 73787193680 Human 5 False False False 175.0 174 False +252 000989 2024-05-14 02:36:55.555253+00:00 2024-05-14 02:36:55.555270+00:00 52322892 Unidentified 3 False False False 8.0 257 False +253 001025 2024-05-15 20:33:08.663366+00:00 2024-05-15 20:33:08.663387+00:00 10690479132 Chinese hamster 5 False False False 12.0 12 False +254 001028 2024-05-16 19:10:42.432316+00:00 2024-05-16 19:10:42.432334+00:00 10869905261 Chinese hamster 5 False False False 6.0 6 False +255 001029 2024-05-16 21:06:01.287584+00:00 2024-05-16 21:06:01.287600+00:00 6773343496 House mouse 4 False False False 1.0 41 False +256 001030 2024-05-17 19:30:17.183063+00:00 2024-05-17 19:30:17.183081+00:00 51968333 House mouse 3 False False False 34.0 17 False +257 001031 2024-05-18 20:33:31.336567+00:00 2024-05-18 20:33:31.336584+00:00 4305334 House mouse 3 False False False 20.0 10 False +258 001032 2024-05-21 17:22:23.862583+00:00 2024-05-21 17:22:23.862601+00:00 118440312 Rat 3 False False False 14.0 178 False +259 001033 2024-05-21 17:22:45.538007+00:00 2024-05-21 17:22:45.538027+00:00 134723619 Rat 3 False False False 10.0 193 False +260 001034 2024-05-21 17:22:59.633414+00:00 2024-05-21 17:22:59.633430+00:00 118440312 Rat 3 False False False 14.0 178 False +261 001035 2024-05-21 17:23:15.380005+00:00 2024-05-21 17:23:15.380023+00:00 178384847 Rat 3 False False False 15.0 254 False +262 001038 2024-05-24 13:54:10.941834+00:00 2024-06-03 14:24:25.093506+00:00 22753138491 House mouse 14 False False False 105.0 1234 True +263 001046 2024-06-04 13:45:15.162160+00:00 2024-06-04 13:45:15.162178+00:00 1286915940 Taeniopygia guttata - Zebra finch 5 False False False 2.0 4 False +264 001047 2024-06-04 17:21:04.141576+00:00 2024-06-04 17:21:04.141592+00:00 14156734169 House mouse 3 False False False 5.0 13 False +265 001051 2024-06-05 21:28:46.759168+00:00 2024-06-06 18:18:47.332920+00:00 1808065536215 House mouse 2 True False False 27.0 663 False +266 001052 2024-06-10 16:59:44.419010+00:00 2024-07-20 05:16:45.950897+00:00 19510736 Rat 1 True False False 12.0 12 False +267 001054 2024-06-13 17:58:43.700749+00:00 2024-06-21 21:42:40.739922+00:00 56818295178 Rhesus monkey 1 True False False 3.0 301 False +268 001055 2024-06-14 07:38:22.119008+00:00 2024-06-14 10:01:10.120316+00:00 1253787768 Rhesus monkey 2 False False False 4.0 5 False +269 001056 2024-06-14 10:42:40.510060+00:00 2024-06-14 10:42:40.510078+00:00 54454695 Rhesus monkey 2 False False False 2.0 1 False +270 001057 2024-06-14 11:14:09.510068+00:00 2024-06-14 14:50:54.887608+00:00 1724680097 Rhesus monkey 2 False False False 6.0 4 False +271 001058 2024-06-14 13:42:27.754535+00:00 2024-07-01 08:50:25.116246+00:00 150032788 Rhesus monkey 2 False False False 2.0 1 False +272 001059 2024-06-14 14:03:06.361507+00:00 2024-06-14 14:03:06.361527+00:00 198309991 Rhesus monkey 2 False False False 1.0 1 False +273 001060 2024-06-14 14:14:33.080772+00:00 2024-06-14 14:14:33.080789+00:00 410749268 Rhesus monkey 2 False False False 1.0 1 False +274 001062 2024-06-14 18:10:23.655375+00:00 2024-06-14 18:10:23.655391+00:00 278740648 Callithrix jacchus - Common marmoset 4 True False False 1.0 1 False +275 001063 2024-06-17 02:19:57.276224+00:00 2024-06-17 02:19:57.276240+00:00 153184896 Fruit fly 1 False False False 218.0 213 False +276 001064 2024-06-17 05:28:46.214244+00:00 2024-06-23 03:10:18.805061+00:00 74912912 Fruit fly 1 False False False 130.0 96 False +277 001069 2024-06-21 16:58:13.699396+00:00 2024-06-21 16:58:13.699413+00:00 1360390639 Rhesus monkey 1 True False False 2.0 10 False +278 001073 2024-06-21 22:02:41.624982+00:00 2024-06-21 22:02:41.625001+00:00 495900228 Rat 1 True False False 3.0 3 False +279 001076 2024-06-27 18:30:30.864999+00:00 2024-06-27 18:30:51.854803+00:00 660278264 Zebrafish 1 False True False 1.0 44 False +280 001078 2024-07-01 11:09:01.762621+00:00 2024-07-01 11:09:01.762639+00:00 5683760829 Rhesus monkey 2 False False False 2.0 9 False +281 001084 2024-07-09 09:02:04.023305+00:00 2024-07-15 13:46:28.745018+00:00 32730793664 House mouse 16 False True False 2.0 3 True +282 001092 2024-07-22 15:35:15.014321+00:00 2024-07-22 16:26:44.825787+00:00 12627889 House mouse 1 False True False 2.0 3 False diff --git a/docs/source/conf.py b/docs/source/conf.py index db39ef0..e935c7d 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,6 +15,7 @@ import sys import sphinx_rtd_theme from nwb_project_analytics.create_codestat_pages import create_codestat_pages +from nwb_project_analytics.dandistats import DANDIStats from nwb_project_analytics._version import get_versions @@ -200,5 +201,17 @@ def setup(app): print_status=True) else: print("\033[1mSKIPPING: create_codestat_pages... \033[0m done " - "(the existing code_stat_pages up-to-date with the data cache)") + "(the existing code_stat_pages are up-to-date with the data cache)") + + if update_code_stat_pages: + DANDIStats.create_dandistats_pages( + out_dir=code_stat_pages_dir, + data_dir=code_stat_data_dir, + load_cached_results=True, + cache_results=True, + print_status=True + ) + else: + print("\033[1mSKIPPING: create_dandistats_pages... \033[0m done " + "(the existing dandistats_pages are up-to-date with the data cache)") diff --git a/docs/source/index.rst b/docs/source/index.rst index 852aead..58829c0 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -18,6 +18,11 @@ NWB Software Analytics code_stat_pages/code_stats_tools.rst +.. toctree:: + :maxdepth: 2 + + code_stat_pages/dandi_nwb_stats.rst + .. toctree:: :maxdepth: 2 :caption: Analytics API: diff --git a/notebooks/dandi_nwb_statistics_analysis.ipynb b/notebooks/dandi_nwb_statistics_analysis.ipynb index 62c7d3d..3702307 100644 --- a/notebooks/dandi_nwb_statistics_analysis.ipynb +++ b/notebooks/dandi_nwb_statistics_analysis.ipynb @@ -10,20 +10,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: seaborn in /opt/conda/lib/python3.10/site-packages (0.12.2)\n", - "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in /opt/conda/lib/python3.10/site-packages (from seaborn) (3.7.1)\n", - "Requirement already satisfied: numpy!=1.24.0,>=1.17 in /opt/conda/lib/python3.10/site-packages (from seaborn) (1.23.5)\n", - "Requirement already satisfied: pandas>=0.25 in /opt/conda/lib/python3.10/site-packages (from seaborn) (1.5.3)\n", - "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.39.0)\n", - "Requirement already satisfied: pyparsing>=2.3.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n", - "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.7)\n", - "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n", - "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.4.0)\n", - "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.0)\n", - "Requirement 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pillow>=6.2.0 in /Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages (from matplotlib>=2.2->seaborn) (10.1.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages (from matplotlib>=2.2->seaborn) (3.0.9)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages (from matplotlib>=2.2->seaborn) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages (from pandas>=0.23->seaborn) (2023.3.post1)\n", + "Requirement already satisfied: tzdata>=2022.1 in /Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages (from pandas>=0.23->seaborn) (2023.3)\n", + "Requirement already satisfied: six>=1.5 in /Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib>=2.2->seaborn) (1.16.0)\n" ] } ], @@ -33,7 +35,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "c9888113-0dfd-456d-bf5b-8918e750bbba", "metadata": {}, "outputs": [], @@ -53,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "fd415e8b-4223-4868-9341-6987f3ad4530", "metadata": {}, "outputs": [ @@ -61,7 +63,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 296/296 [00:18<00:00, 16.22it/s]\n" + "A newer version (0.62.4) of dandi/dandi-cli is available. You are using 0.60.0\n", + "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 476/476 [01:55<00:00, 4.12it/s]\n" ] } ], @@ -126,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "33746424-5b19-4100-aea7-0ce20aa91a6a", "metadata": {}, "outputs": [ @@ -257,83 +260,83 @@ " ...\n", " \n", " \n", - " 167\n", - " 000570\n", - " 2023-06-29 20:25:43.159623+00:00\n", - " 2023-07-05 17:42:52.656910+00:00\n", - " 4628300559\n", - " Human\n", - " 6\n", + " 278\n", + " 001073\n", + " 2024-06-21 22:02:41.624982+00:00\n", + " 2024-06-21 22:02:41.625001+00:00\n", + " 495900228\n", + " Rat\n", + " 1\n", + " True\n", " False\n", " False\n", - " True\n", - " 58.0\n", - " 155\n", + " 3.0\n", + " 3\n", " False\n", " \n", " \n", - " 168\n", - " 000574\n", - " 2023-07-04 13:52:07.557094+00:00\n", - " 2023-07-04 15:17:12.948762+00:00\n", - " 13067234538\n", - " Human\n", - " 8\n", - " True\n", + " 279\n", + " 001076\n", + " 2024-06-27 18:30:30.864999+00:00\n", + " 2024-06-27 18:30:51.854803+00:00\n", + " 660278264\n", + " Zebrafish\n", + " 1\n", " False\n", + " True\n", " False\n", - " 9.0\n", - " 37\n", + " 1.0\n", + " 44\n", " False\n", " \n", " \n", - " 169\n", - " 000575\n", - " 2023-07-04 17:07:21.531429+00:00\n", - " 2023-07-04 17:07:21.531458+00:00\n", - " 23228640\n", - " Human\n", - " 6\n", - " True\n", + " 280\n", + " 001078\n", + " 2024-07-01 11:09:01.762621+00:00\n", + " 2024-07-01 11:09:01.762639+00:00\n", + " 5683760829\n", + " Rhesus monkey\n", + " 2\n", " False\n", " False\n", - " 13.0\n", - " 18\n", + " False\n", + " 2.0\n", + " 9\n", " False\n", " \n", " \n", - " 170\n", - " 000579\n", - " 2023-07-10 21:58:09.569708+00:00\n", - " 2023-07-21 20:06:56.359828+00:00\n", - " 245591965505\n", + " 281\n", + " 001084\n", + " 2024-07-09 09:02:04.023305+00:00\n", + " 2024-07-15 13:46:28.745018+00:00\n", + " 32730793664\n", " House mouse\n", - " 3\n", + " 16\n", " False\n", " True\n", " False\n", - " 8.0\n", - " 308\n", - " False\n", + " 2.0\n", + " 3\n", + " True\n", " \n", " \n", - " 171\n", - " 000582\n", - " 2023-07-17 08:18:23.034598+00:00\n", - " 2023-07-19 12:59:15.137970+00:00\n", - " 1862075139\n", - " Rat\n", - " 9\n", + " 282\n", + " 001092\n", + " 2024-07-22 15:35:15.014321+00:00\n", + " 2024-07-22 16:26:44.825787+00:00\n", + " 12627889\n", + " House mouse\n", + " 1\n", + " False\n", " True\n", " False\n", + " 2.0\n", + " 3\n", " False\n", - " 12.0\n", - " 109\n", - " True\n", " \n", " \n", "\n", - "

172 rows × 12 columns

\n", + "

283 rows × 12 columns

\n", "" ], "text/plain": [ @@ -344,24 +347,24 @@ "3 000006 2020-03-17 13:30:38.667000+00:00 \n", "4 000007 2020-03-17 15:01:40.811000+00:00 \n", ".. ... ... \n", - "167 000570 2023-06-29 20:25:43.159623+00:00 \n", - "168 000574 2023-07-04 13:52:07.557094+00:00 \n", - "169 000575 2023-07-04 17:07:21.531429+00:00 \n", - "170 000579 2023-07-10 21:58:09.569708+00:00 \n", - "171 000582 2023-07-17 08:18:23.034598+00:00 \n", + "278 001073 2024-06-21 22:02:41.624982+00:00 \n", + "279 001076 2024-06-27 18:30:30.864999+00:00 \n", + "280 001078 2024-07-01 11:09:01.762621+00:00 \n", + "281 001084 2024-07-09 09:02:04.023305+00:00 \n", + "282 001092 2024-07-22 15:35:15.014321+00:00 \n", "\n", - " modified size species nauthors \\\n", - "0 2020-11-06 17:20:30.673000+00:00 2559248010229 House mouse 3 \n", - "1 2020-10-03 07:01:25.356000+00:00 6197474020 Human 13 \n", - "2 2020-04-09 20:59:35.377000+00:00 46436686324 House mouse 4 \n", - "3 2020-04-09 21:00:01.759000+00:00 139600500 House mouse 2 \n", - "4 2022-11-22 00:21:36.001459+00:00 199439472 House mouse 8 \n", - ".. ... ... ... ... \n", - "167 2023-07-05 17:42:52.656910+00:00 4628300559 Human 6 \n", - "168 2023-07-04 15:17:12.948762+00:00 13067234538 Human 8 \n", - "169 2023-07-04 17:07:21.531458+00:00 23228640 Human 6 \n", - "170 2023-07-21 20:06:56.359828+00:00 245591965505 House mouse 3 \n", - "171 2023-07-19 12:59:15.137970+00:00 1862075139 Rat 9 \n", + " modified size species nauthors \\\n", + "0 2020-11-06 17:20:30.673000+00:00 2559248010229 House mouse 3 \n", + "1 2020-10-03 07:01:25.356000+00:00 6197474020 Human 13 \n", + "2 2020-04-09 20:59:35.377000+00:00 46436686324 House mouse 4 \n", + "3 2020-04-09 21:00:01.759000+00:00 139600500 House mouse 2 \n", + "4 2022-11-22 00:21:36.001459+00:00 199439472 House mouse 8 \n", + ".. ... ... ... ... \n", + "278 2024-06-21 22:02:41.625001+00:00 495900228 Rat 1 \n", + "279 2024-06-27 18:30:51.854803+00:00 660278264 Zebrafish 1 \n", + "280 2024-07-01 11:09:01.762639+00:00 5683760829 Rhesus monkey 2 \n", + "281 2024-07-15 13:46:28.745018+00:00 32730793664 House mouse 16 \n", + "282 2024-07-22 16:26:44.825787+00:00 12627889 House mouse 1 \n", "\n", " ecephys ophys icephys numberOfSubjects numberOfFiles has_related_pub \n", "0 True False False 16.0 101 True \n", @@ -370,16 +373,16 @@ "3 True False False 12.0 53 True \n", "4 True False False 13.0 54 True \n", ".. ... ... ... ... ... ... \n", - "167 False False True 58.0 155 False \n", - "168 True False False 9.0 37 False \n", - "169 True False False 13.0 18 False \n", - "170 False True False 8.0 308 False \n", - "171 True False False 12.0 109 True \n", + "278 True False False 3.0 3 False \n", + "279 False True False 1.0 44 False \n", + "280 False False False 2.0 9 False \n", + "281 False True False 2.0 3 True \n", + "282 False True False 2.0 3 False \n", "\n", - "[172 rows x 12 columns]" + "[283 rows x 12 columns]" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -413,7 +416,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 35, "id": "be7004a1-4152-4368-b819-69652429e56a", "metadata": { "tags": [] @@ -425,10 +428,14 @@ "array(['House mouse', 'Human', nan, 'Rat', 'Rhesus monkey', 'Fruit fly',\n", " 'Zebrafish', 'Pig-tailed macaque', 'Chinese hamster', 'Dog',\n", " 'Clonal raider ant', 'C. elegans', 'Rabbit', 'Cattle',\n", - " 'Pigtail macaque'], dtype=object)" + " 'Pigtail macaque', 'Procambarus clarkii - Red swamp crayfish',\n", + " 'Macaca nemestrina', 'Macaca fascicularis - Cynomolgus monkeys',\n", + " 'Sus scrofa domesticus - Domestic pig', 'Unidentified',\n", + " 'Taeniopygia guttata - Zebra finch',\n", + " 'Callithrix jacchus - Common marmoset'], dtype=object)" ] }, - "execution_count": 4, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -439,7 +446,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 36, "id": "a5c53dd3-2a3e-46cf-8788-d40270171eb7", "metadata": { "tags": [] @@ -448,24 +455,32 @@ { "data": { "text/plain": [ - "House mouse 78\n", - "Rat 26\n", - "Human 24\n", - "Rhesus monkey 11\n", - "Fruit fly 5\n", - "Zebrafish 5\n", - "Cattle 4\n", - "C. elegans 3\n", - "Rabbit 2\n", - "Pig-tailed macaque 1\n", - "Chinese hamster 1\n", - "Dog 1\n", - "Clonal raider ant 1\n", - "Pigtail macaque 1\n", - "Name: species, dtype: int64" + "species\n", + "House mouse 117\n", + "Rat 42\n", + "Human 37\n", + "Rhesus monkey 25\n", + "Fruit fly 10\n", + "Cattle 9\n", + "C. elegans 7\n", + "Zebrafish 6\n", + "Chinese hamster 4\n", + "Macaca nemestrina 3\n", + "Clonal raider ant 2\n", + "Rabbit 2\n", + "Unidentified 2\n", + "Dog 1\n", + "Pig-tailed macaque 1\n", + "Pigtail macaque 1\n", + "Procambarus clarkii - Red swamp crayfish 1\n", + "Macaca fascicularis - Cynomolgus monkeys 1\n", + "Sus scrofa domesticus - Domestic pig 1\n", + "Taeniopygia guttata - Zebra finch 1\n", + "Callithrix jacchus - Common marmoset 1\n", + "Name: count, dtype: int64" ] }, - "execution_count": 5, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -476,23 +491,56 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "id": "fa53b8b6-9d18-45d3-a50d-0a7765070787", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['House mouse', 'Rat', 'Human', 'Rhesus monkey', 'Fruit fly', 'Cattle',\n", + " 'C. elegans', 'Zebrafish', 'Chinese hamster', 'Macaca nemestrina',\n", + " 'Clonal raider ant', 'Rabbit', 'Unidentified', 'Dog',\n", + " 'Pig-tailed macaque', 'Pigtail macaque',\n", + " 'Procambarus clarkii - Red swamp crayfish',\n", + " 'Macaca fascicularis - Cynomolgus monkeys',\n", + " 'Sus scrofa domesticus - Domestic pig',\n", + " 'Taeniopygia guttata - Zebra finch',\n", + " 'Callithrix jacchus - Common marmoset'],\n", + " dtype='object', name='species')" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"species\"].value_counts().keys()" + ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 38, "id": "849f2cd9-d113-47f0-a905-46ba1b5fe665", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Procambarus clarkii - Red swamp crayfish\n", + "Macaca fascicularis - Cynomolgus monkeys\n", + "Sus scrofa domesticus - Domestic pig\n", + "Taeniopygia guttata - Zebra finch\n", + "Callithrix jacchus - Common marmoset\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] }, "metadata": {}, @@ -501,8 +549,15 @@ ], "source": [ "sns.set_style(\"whitegrid\")\n", + "vals = df[\"species\"]\n", + "# Only show short-hand label. E.g. ,replace \"Procambarus clarkii - Red swamp crayfish\" with \"Red swamp crayfish\"\n", + "for name in df[\"species\"].value_counts().keys():\n", + " if \" - \" in name:\n", + " print(name)\n", + " vals = vals.replace(name, name.split(\" - \")[1]) \n", "\n", - "ax = df[\"species\"].value_counts().plot.barh(figsize=(1.6, 3))\n", + "ax = vals.value_counts().plot.barh(figsize=(3, 3))\n", + "ax.invert_yaxis()\n", "ax.set_xlabel(\"# of NWB Dandisets\")\n", "ax.set_ylabel(\"species\")\n", "sns.despine()\n", @@ -516,13 +571,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 39, "id": "2ff15dbe-0bab-4054-84b4-ddf18941daff", "metadata": {}, "outputs": [ { "data": { - "image/png": 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icOrUKeTl5cndHEFisRi3bt2ChYVFhQeQDusjEZf6Vqr3MtH9ChG/fffFxqYIdSo9ucLTp08RFRWFa9euITo6GsXFxbCxsRFybEQBSB2g5ORkbmsTHR2N7OxsWFlZoXPnznB1dYWpqeknn9ggNZfUf+O9e/eGrq4uXFxc4ObmBhMTky9y7qKmU/QZTaS+FtavXz8UFBRgy5Yt2Lx5M3bt2oW4uLhKn9irTcTFFf8/UlZWhrGxcYX/ED/1O/JG6i3QunXrAHyYiaN0N7Zt2za8f/8e1tbW6NSpEzp37gwzM7OqGqvCUlYSYeqBGCS8lO4uAgMtDfw53LKKRyUMmQ9a9PX1oa+vjxEjRgD4MOnC0aNH4efnhzVr1sjdpzB5kfAyR+pPe4qkUke9r1+/RnR0NHdQnZSUBDU1Namu3pKaReoAHT9+nNt1PXnyBMrKyjAzM0P//v25E4iVOSNNFJvUAZo1axY6dOiA3r17c4FRV1evyrERBSB1gKKjo1GvXr2qHAtRQFJ/jKfwkIpIvQVq167df97GKhKJ6FNYLSN1gDZu3PjJ12JiYrB37146qVgLSR2gXr16lVuWmJiINWvW4Ny5cxgwYACmTp0q6OCI/KvUeaAXL15gw4YNCAsLg62tLcLCwsrdHEZqB5kClJ2dDX9/f+zduxft27fHzp070bFjx6oaG1EAUgdo69at+Ouvv9C0aVP4+vpWuEsjtY/UAfL19YW6ujpatmyJsLAwhIWFVbje5w62Sc0jdYAcHR0FexqV1BxSB4i6EZKK0AxlhBcKEOGFAkR4oQARXqQK0ODBg5GVlQXgw8d0IefGIYpNqgAlJiZyodm0aRNyc3OrdFBEcUj1Mb59+/aYN28erK2twRjDtm3bPnl/EDVlqV2kCpC3tzc2bNiAc+fOQSQSITIyssJnmUQiEQWolpEqQG3atMHatWsBfLixbOfOneWmniO1k8y3c8THx1fFOIiCqtT9QE+fPsWuXbuQmJgIkUgEfX19uLu7o2XLlkKPj8g5mc8DRUZGwt7eHrGxsTAyMkLbtm1x+/ZtODg44PLly1UxRiLHZN4C+fr6YtSoUeXmKVy9ejVWr16Nbt26CTY4Iv9k3gIlJiZi6NCh5ZY7OTkhISFBkEER4VXVNDIyB6hx48a4f/9+ueX379+nT2bVrDqmkZF5F+bs7IxFixYhOTmZm1Dz33//xdatW+Hh4cFrMISf6phGRuYATZo0CRoaGti+fTvWrFkDANDS0sLkyZPh7u7OazCEvy89jYzMARKJRBg1ahRGjRrFtV2iaXdrL16zYlJwCN0PRHihABFeqjVAAQEBcHJygqWlJbp06YKJEyfi8ePHEutQ31T5Vq0Bio6Oxs8//4zg4GDs2LEDYrEYY8aMkbhhjfqmyrdKBWjp0qV48+YN7+Lbtm3DkCFD0LZtW7Rr1w7e3t5ITU1FXFwcAOH7phLhSR2g58+fc9+Hh4dzW4kBAwYgLS1NkMFkZ2cDANd897/6psqiOpvuKmodaUj9Mb5///7Q1NSElZUV3r9/j7S0NOjq6iIlJaVS/VI/xhiDt7c3rK2tualihOybWl1NdxW5jqBNd2/cuIG4uDjcuHEDp06dwrhx49C0aVMUFhYiMjISvXv3RrNmzWQbeRlLly7Fw4cPsW/fvnKvCdE3VR6b7taEOlLvwoqKimBmZobRo0dDXV0dYWFhWL58OZSUlHDw4EH07t1bpqa7ZXl6euLs2bPYtWsXdHR0uOWlgXz9+rXE+pXpm1racLbsV2VV9F6f+1LUOtKQegtkbW2N9u3bw8rKCoWFhcjLy4O1tTWUlZWxbt06aGtrIzY2VqaBM8bg6emJ06dPY8+ePfj6668lXtfT06O+qXJO6gBdvHgRt27dQkxMDIqKiuDk5ARTU1MUFhYiLi4OOjo6Ms9WtmTJEoSHh2Pz5s2oX78+d8zToEEDqKurQyQSUd9UOSf1Lqxx48aws7PDjBkzULduXYSEhMDV1RUikQgrV66EtbU1XF1dZSq+f/9+ZGdnw83NDba2ttzXsWPHuHXGjh2LkSNHYsmSJXBycsKLFy+ob6ocqfTF1AYNGsDe3h4LFizArl27oK6ujuvXr8v0Hg8ePPjPdUQiEaZMmYIpU6ZUdqikClUqQEeOHIG2tjYAoEWLFlBRUUGzZs1gb28v6OCI/KtUgJo3b859T2eEaze6Gk94oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBcKEOGFAkR4oQARXihAhBeFCFBgYCDs7OxgamqKIUOG4MaNG9U9JFJC7gN07NgxeHt7Y8KECQgLC4O1tTXGjh0rc8M5UjXkPkA7duyAk5MTnJ2doa+vjwULFkBHRwf79++v7qER8Gi28iUUFBQgLi4O48aNk1jerVs3qXumlnY3LCgoKNdETVlZGe116qOOlL3a2jSrX6n+pIpaR1lZGUpKSuU6RpYl1wHKzMyEWCyusGdqaW+x/1JcXAwAuHfvXoWvu+gD0K8n5YgYbt26JeW6NaOOhYXFZ7sXynWASlXUM/Vz/yrKUlFRgamp6X/+SyIVU1L6/FGOXAeoUaNGUFZW5tUzVUlJCWpqalUxPAI5P4hWU1ODiYkJLl++LLH8ypUrsLS0rKZRkbLkegsEAB4eHpg9ezY6dOgAS0tLBAUFIS0tDcOHD6/uoREoQIDs7e2RmZmJzZs34+XLlzA0NMSWLVvQokWL6h4aASBipZ9zCakEuT4GIvKPAkR4oQARXihAhBcKEOGFAkR4oQCVCA0Nxfnz57mfV65ciY4dO2L48OF49uyZYHUuXrwocUNcYGAgBg0ahBkzZiArK0uwOl8KBaiEv78/6tSpAwCIiYlBYGAgZs2aBU1NTXh7ewtWZ9WqVXj37h0A4MGDB/Dx8UH37t2RnJwMHx8fwep8LCcnB2fOnEFiYqKwb8wIY4wxMzMz9uzZM8YYYytXrmSzZs1ijDH28OFDZmNjI1gdCwsLlpyczBhjbP369WzKlCmMMcbu3r3LunbtKlid3377je3Zs4cxxlheXh7r06cPMzExYcbGxuzEiROC1aEtUIl69erhzZs3AIDLly+ja9euAIA6derg/fv3gtVRVVVFfn4+gA8Xhbt16wYAaNiwIXJycgSrc+PGDXTs2BEAcPr0aTDGcP36dSxYsAB+fn6C1ZH7a2FfSteuXbFw4UK0b98eSUlJ6N69OwDg0aNHgl53s7Kygre3N6ysrHDnzh2sW7cOAJCUlAQdHR3B6mRnZ6Nhw4YAgMjISPTp0wd169bFDz/8gFWrVglWh7ZAJf744w9YWFggIyMD69evR6NGjQAAcXFxcHBwEKzOokWLoKKigpMnT+KPP/6AtrY2gA8H1999951gdZo3b46YmBjk5uYiMjKS29K9fftW0Puj6GJqDRUYGIjly5ejXr160NXVRWhoKJSUlLBnzx6cOnUKe/bsEaQOBaiEnZ0dhgwZAicnJzRv3rzK6ri5ucHJyQn9+vWDurp6ldUBgDt37uD58+fo2rUr6tevDwA4f/48GjRoAGtra0FqUIBK7NmzB6GhoYiPj4eNjQ2GDh2K3r17C347rI+PD44ePYr8/Hz0798fQ4cOhYWFhaA1ACAqKgo2NjaCv+/HKEAfiY+PR0hICCIiIiAWi/Hjjz/CyckJJiYmgtUQi8U4d+4cDh06hIsXL6Jly5ZwcnLCoEGDpL7X+7+YmppCW1sbQ4YMweDBg6tsq0oB+oTCwkLs27cPq1evRlFREdq2bQt3d3c4OTkJ+nRHRkYGDhw4AH9/fxQXF+P777+Hm5sbunTpwut937x5gyNHjiA0NBQPHjxAly5d4OTkhF69etFBdFUqLCzE6dOncejQIVy5cgXm5uYYOnQoXr58icDAQNjY2MDX11eQWrGxsTh48CAiIiLQoEEDDB48GK9evcLRo0fh4uKCOXPmCFLn/v37OHjwIMLDw8EYw4ABAzB06FC0a9eO/5sLdkpSwd29e5ctXbqUde7cmXXp0oX5+PiwhIQEiXVu377NTE1NedV5/fo127ZtG3NwcGAmJiZsypQp7MKFC6y4uJhb5/Lly8zCwoJXnY89f/6crV+/nnXo0IFZWFiw9u3bMxcXF/bw4UNe70sBKtGuXTs2evRoduzYMVZQUFDhOu/evWNz587lVcfExIT169ePbd26laWnp1e4TnZ2NnN1deVVhzHGCgoK2PHjx9kvv/zCjI2N2bBhw1hwcDB79+4dS01NZb///jvr378/rxq0Cyvx7NmzL/KkR9lLDFXJ09MT4eHhAICBAwfC2dkZhoaGEuukpqbCzs4O8fHxla5DAfpIQUEBMjIyuGfqS+nq6lbTiCpn5MiRcHZ2Rp8+fT550FxUVIR///0XnTt3rnQdClCJJ0+eYMGCBeVm/WAlz+Hfv39fkDqvX7/GihUrcPXqVWRkZODj//1C1flS6GJqiXnz5kFFRQX+/v7Q0tKqsokY5s6di7S0NEycOBFaWlpVUqPUkydPEB0djfT09HJb1MmTJwtSg7ZAJSwsLHDw4EHo6+tXaR1LS0vs27cP7du3r9I6wcHBWLx4MRo1aoSmTZtK/IMQiUQIDQ0VpA5tgUro6+sjMzOzyus0b9683G6rKvj5+WHatGnlJucSWq2+nSMnJ4f7mjlzJlavXo2oqChkZmZKvCbkjV7z58+Hr68vUlJSBHvPimRlZaF///5VWgOo5buwdu3aSWzaWQUTVwlxEN2pUyeJ983NzYVYLIa6ujpUVVUl1o2Ojq50nbLmz58PU1NTuLi4CPJ+n1Krd2G7d+/+InXmz5//ReqU/fO0atUKf/75J27fvg1DQ0OoqEj+Vbu7uwtSs1ZvgWoaOzs7qdYTiUT4559/BKlJASojKysLISEhSExMhEgkgr6+PoYMGQJNTU1B64jFYpw+fVqiTs+ePcttJRQBBahEdHQ0JkyYgAYNGqBDhw4APtwP/fbtW/j5+fE6W1vWw4cPMXHiRLx+/RqtW7cG8OGG+kaNGsHPzw9GRkaC1Cmr9K+4Ss5t8bqSVoM4ODiwhQsXsqKiIm5ZUVER+7//+z/m4OAgWB1nZ2f266+/sjdv3nDL3rx5w8aPH8+GDRsmWB3GGAsODuau+puYmDAHBwcWHBwsaA0KUAlTU1OWmJhYbnliYiLvWzg+rlPRLRQPHjwQtM7atWuZhYUFW716NTtz5gw7c+YMW716NbOwsGBr1qwRrI7i7XSriLGxMR4/fow2bdpILH/8+LGgZ41bt26N169fo23bthLL09PT0apVK8Hq7N+/H56envjxxx+5ZT179oSRkRE8PT0xffp0QepQgEq4u7vDy8sL//vf/2Bubg4AuH37NgIDAzFz5kyJWx743Mn3+++/w8vLC5MnT+Zupr916xY2bdqEmTNnSpy01NDQqHSd4uJi7liuLBMTE5lbKHwOHUSX+K9QiEQiQU4qlq1TelDLPjrIFaKOp6cnVFRUMG/ePInlK1asQH5+Pv74449Kv3dZFKASskzhwufGM1nONPP55Ofp6YmwsDA0b95cYoualpYGR0dHiVMGH4dMFhSgavD27dty55uGDh2KBg0aCFbDzc1NqvVEIhGvM/IUoDLCwsJw4MABpKSkICgoCC1atMDOnTuhp6eHXr16CVLjzp07+OWXX1CnTh2YmZmBMYa7d+8iPz8f27dvF/T5sy9CsM9zCi4wMJDZ2NiwzZs3MzMzM/b06VPGGGMHDx4U5Ab3Ui4uLmzu3LmssLCQW1ZYWMjmzJnDRowYIVidUklJSezixYssLy+PMcYknv4QAgWoRP/+/dnp06cZYx8mgSoN0IMHD1jnzp0Fq2NqalrucSHGGHv06BEzMzMTrE5GRgZzd3dnRkZGrF27dtyfZ968eczb21uwOrX6fqCyUlJSKjzfo6amhry8PMHqaGhoIC0trdzytLQ0bgIEIXh7e0NFRQXnz5+XmMTB3t4ekZGRgtWhAJXQ09Or8GPzxYsXYWBgIFgde3t7LFiwAMeOHUNaWhqeP3+OiIgILFy4UNB5iC5fvoxZs2aVm7SqVatWgjYsphOJJcaMGYOlS5eioKAAwIfHjsPDw7FlyxYsW7ZMsDqzZ8/m/lt6Qk9FRQUuLi6YOXOmYHVyc3MrnD4mMzOTno2vKsHBwfDz8+N2Mdra2pg8eTKcnZ0Fr5WXl4enT5+CMYZWrVqhbt26gr7/uHHjYGxsjGnTpsHS0hJHjhxBixYtMH36dDDGsH79ekHqUIAqUPq81sfNfhVJQkIC3NzcYGJigmvXrsHOzg4JCQnIysrC/v370bJlS0HqUIBKJCcnQywW45tvvpFYnpSUBBUVFejp6VXPwHh49eoV9u/fj7i4OBQXF8PY2Bg///yzoM+jUYBKuLq6wsnJCYMHD5ZYfvjwYYSEhAg2p2BNQ5/CSty7dw9WVlbllltYWCjc48YAcPDgQRw/frzc8uPHjwv2UCFAAeKIRCKuBUFZ2dnZgt7+8KVs2bKFm6q4rCZNmsDf31+wOhSgEh07dkRAQIBEWMRiMbZs2SLYjKZfUmpqaoXHbbq6uhWeyKwsOg9UYtasWfj555/Rr18/bv6eGzduIDs7+4s9PyakJk2a4MGDB+VCFB8fL+hTJrQFKmFgYIAjR47A3t4e6enpePfuHQYNGoQTJ06Um5hJEdjb28PLywvXrl2DWCyGWCzG1atXsXz5ckHPeNMWqIzk5GSkpKQgKysLnp6e0NbWRlhYGPT09L7IrGJCmjZtGlJTUzFq1Cju5jGxWAxHR0fB7ocGKECckydPYvbs2RgwYADu3bvHXdJ49+4dAgICFC5AampqWLduHZKSknD//n2oq6vD0NBQ8Gn8KEAl/Pz8sGTJEjg6OiIiIoJbbmVlhc2bN1fjyKTn7e2NqVOnol69ehU2ybt27Rr3PZ/bWMuiAJV48uRJhVsZDQ0NvH37thpGJLt79+6hqKiI+/5ThHxClQJUolmzZnj69Gm5Ty03b97E119/XU2jkk3Zs+Vf6sw5fQor8dNPP8HLywu3b9+GSCTCixcvcOTIEaxYsQIjRoyo7uHJLboWVsbatWuxc+dOrsWlmpoaRo8ejWnTplXvwOQYBegjeXl5SEhIAGMM+vr6gt5mWhNRgAgvdAxEeKEAEV4oQIQXChDhhQJUDdzc3ODl5SX1+lFRUTAyMuLOiB86dEhurs1RgBSQvb09Tp48yf28YcMGDBo0qFrGQpcyFJC6unqV95yXFm2BynBzc4Onpye8vLzQqVMndO3aFUFBQcjNzcW8efNgaWmJXr164cKFC9zvREdHY+jQoejQoQNsbW25Ls+lcnNzMXv2bFhaWsLW1hbbt28vV/fw4cMYMmQILC0t0a1bN8yYMQPp6emfHGfZXdihQ4ewceNGxMfHw8jICEZGRjh06BDmzZuHX3/9VeL3ioqK0K1bN4SEhPD9X8WhAH0kNDQUjRo1wt9//w1XV1csXrwYU6dOhaWlJUJDQ2Fra4vZs2cjLy8PL168wLhx42BqaorDhw9j8eLFCAkJgZ+fH/d+K1euRFRUFDZu3Iht27YhOjoad+/elahZWFiIqVOn4siRI9i0aRNSUlIwd+5cqcZrb2+P0aNHo23btrh06RIuXboEe3t7ODs7IzIyEi9fvuTWvXDhAnJzc4VtwiLYPB81gKurK3NxceF+LioqYhYWFmzWrFncspcvXzJDQ0MWExPD1qxZw/r27Ssx587evXuZhYUFE4vFLCcnh5mYmLCIiAju9czMTGZmZsaWLVv2yXHcvn2bGRoaspycHMYYY9euXWOGhoYsKyuLMfZhziJra2tu/fXr17OBAweWex97e3u2ZcsW7ueJEyfybhr8MToG+kjZmeKVlZWhqakpcU9006ZNAXyYljcxMRGWlpYS99dYW1sjNzcXz58/x9u3b1FYWMjNxgoAmpqa3Az1pe7du4cNGzYgPj4eb9684SbdTEtL4zUziLOzM4KCgjB27Fikp6fjwoUL2LlzZ6XfryK0C/vIx/0qRCKRxLKyM6myCi4jsjIzrlb0+sdyc3MxevRo1KtXD6tWrUJISAg2btwI4MOujY9BgwYhOTkZMTEx3OQKQn/8pwDxYGBggJiYGImg/Pvvv6hfvz60tbXRsmVLqKqq4tatW9zrWVlZSEpK4n5+/PgxMjMzMXPmTHTs2BH6+vqfPYCuiKqqarmeqADQqFEj9OrVC4cOHcKhQ4cwZMgQmf+M/4UCxMOIESPw/PlzeHp6IjExEWfOnMGGDRvg4eEBJSUl1K9fH05OTli1ahWuXr2Khw8fYu7cuRK7PF1dXaiqqmLPnj1ITk7GP//8I/M92C1atEBKSgru37+PjIwM7oEA4MNuLDQ0FImJiXB0dBTqj86hAPGgra2NLVu2IDY2FoMGDcLixYsxdOhQTJgwgVtn9uzZ6NixIyZMmAAPDw9YW1tLzCDfuHFj+Pj44MSJE7C3t8fWrVsxZ84cmcbRt29ffPfdd3B3d0eXLl0QHh7Ovda1a1doaWnB1tYW2tra/P/QH6H7gWq4vLw8fPfdd1i+fDn69Okj+PvTp7Aaqri4GK9evcKOHTvQoEEDqbsZyooCVEOlpqaiZ8+e0NHRgY+PT5V1Q6RdGOGFDqIJLxQgwgsFiPBCASK8UIAILxQgwgsFiPBCASK8/D9nSLaZ8PcRIwAAAABJRU5ErkJggg==", + "image/png": 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", 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" ] @@ -548,13 +603,13 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 40, "id": "81d414d4-c31b-43a2-973e-1fe480f453d4", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -584,17 +639,17 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 41, "id": "65b0014e-0d53-4b91-916c-e94739589049", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "102.283687884985" + "302.977792275782" ] }, - "execution_count": 9, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -605,17 +660,17 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 42, "id": "80c1e1fe-29a5-4b6d-a1c0-3148a7115d40", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "102283687884985" + "302977792275782" ] }, - "execution_count": 10, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -626,17 +681,17 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 43, "id": "234f0c78-753c-41f4-9fa4-8d801b823a3e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "172" + "283" ] }, - "execution_count": 11, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -647,13 +702,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 44, "id": "58f3942e-dcec-47d4-a335-0839b20591c2", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -676,7 +731,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 45, "id": "a9b9c959-2bd5-47c9-b4be-727c15feabc7", "metadata": { "tags": [] @@ -684,7 +739,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -707,7 +762,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 46, "id": "5d718c2f-cf22-4496-830e-1afa84e5aad9", "metadata": { "tags": [] @@ -722,7 +777,7 @@ " dtype='object')" ] }, - "execution_count": 18, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -733,7 +788,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 47, "id": "6fdcd528-3b89-4317-b595-d74864d29f0d", "metadata": { "tags": [] @@ -741,7 +796,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -764,7 +819,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 48, "id": "dbd416eb-3b7b-4982-864c-247e05281b94", "metadata": { "tags": [] @@ -776,13 +831,13 @@ "[Text(0, 9, 'GB'), Text(0, 12, 'TB'), Text(0, 15, 'PB')]" ] }, - "execution_count": 15, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -805,7 +860,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 49, "id": "dbd87594-ff0f-44f2-b4f0-b16235b6f9cb", "metadata": { "tags": [] @@ -817,13 +872,13 @@ "(12.0, 15.0)" ] }, - "execution_count": 16, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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jABC5kMFgsOr8gYb7WaekpGDAgAFu0flHRUVhwYIFsu4DuQYDgMiFdDpdkzNuTCYT9u7d6/LOv1+/fnjttddw4MABnDt3DpMmTeJQjoIwAIiaYTAYkJ+fDwDSOL1lfD4oKAgArP6fnZ2Ns2fPIiEhAf7+/lZfrAoKCoJWq0VQUBBUKpVNCGg0GkRHR9t1g3VH6NmzJ9LS0qTOfvLkyU6vSe6HAUAeoXHH23hMuvHjlg44MjISpaWlOHDgAAIDAzF48GBERUXh7Nmz2LNnD4KDg+Hj44OgoCCYTCYUFRXh/vvvR0BAgFTn66+/xp///GercfqZM2fiww8/hNlshkqlAtAwfHN7h758+XKbZWq1Gunp6UhMTERaWprVMJBarUZaWhoiIiKQnp6OlJQUmEymZo+FWq3G008/jQcffBDBwcHQarUoKirCL37xC2i1Wuj1enTt2hWlpaWoqanBQw89hGvXrsHHxwdGoxFxcXEcyycADAByQwaDASdPnpQ6+9WrV2Px4sUQQlh1pBaZmZlISkpqcZ3GnbharcaMGTOkDv52Qghs3LjR6uem/t/cMrPZjJSUFMTGxuK5555Dr169cPXqVWg0GgwbNkwKtdtvsF5eXg69Xo+bN28iPDwcvr6+NidmAdxx2MZkMuHQoUO8QTvZYACQW/n73/+OP//5zzCbzVCr1Zg4cSK2bNkiPW42m5GcnIzY2FhpSKY1nT9g3UmbzWarDt4ZTCYT9Ho9/P390aNHD8TGxjbZITe+wTrfqZMzMQBINgaDAZs2bcKBAwcwePBgjBgxAitXrpQ6ZrPZbNX5WwghkJOTg9TUVOh0OlfvdqtpNBoEBgbKvRtEEgYAyeL2YZvPP/+8Rc8/d+4cAEgnYJ3Ncg7go48+gslkgkqlgkqlks4H3D7kc/syjUaDtLQ0aLXaO47vE7kSA4Bc7l6GbSzi4uIANAyXrFu3rtXnACyduEajwfTp06UOvvE6s2fPxtKlS6HVarFixQro9XrpnXzj/+fk5ODcuXOIi4uDv7+/NI5fW1vb5Lg9kdwYAORylqmVrTVr1iyrsXHLiVNLBxweHo6ysjIcPHgQDz/8MAYPHoxhw4bh7NmzyMvLQ2BgoHQy1WQyYfv27RgzZgwCAgKkDr65jrvx+LzlZ4vU1FSr/WSHT+6OAUAud+nSJbvX1Wg0KCgokL6o1NwURq1Wa9UBNzUrRqvV2jzXZDIhPDxc6qxv7+CJ2jIGALlc9+7d7Vqv8fx4zoYhcjwGALlcVFRUkydOCwoKUFVV1eT8eCJyPLXcO0DKo9VqkZGRAbW64ddPrVZj3bp1iIiIQI8ePTB58mRMnjyZnT+Rk/ETAMmi8TdeLSdaOT2SyLUYACQbnnAlkheHgIiIFIoBQESkUAwAIiKFYgAQESkUA4CISKE4C4hcznLXrdtvl0hErsUAIJfKzMzE7Nmzre66ZbnL1zPPPCPfjhEpEIeAyGUMBoNN5w/8fLtEg8Eg054RKRM/AShc4+GYU6dOAWi4Vo/ldou33zA9Pz8fer0eN27cQGRkpHRzdQB3vWn7p59+2uT9doGfb5fYtWtXp7WViKwxABSsqeEY4Oe7X1lukG65YfqmTZuavAH67TdXb+qm7U3Vacxyu8TKykoHtY6I7oZDQArV3HAM0NCRb9y4UXrMcsP0pjp/y/qN7+PbeDjnTnUsGt8ukYhch58AFMQy3BMUFASdTnfHTvleWIZztFrtXev85S9/waRJk3gxOCIZ8BOAQmRmZiIgIAAjRoxAQEAAioqKpKEbR7MM5wANN223XPa5qfUsnT8RuR4DQAFuH4Yxm8148cUXm11frVZj1qxZ0Gg0ABo66lmzZjUbGCqVSurkbx/O0Wq1SE9Pl7ZlwWEfIvlxCEgB3nnnnSanXjbl1VdfRVJSErRaLf7zP//T5obpBQUF0Ov1uHnzJsLDw6WbqwOwurZ/Y42v/d/czdaJyPUYADKxTKkEfp522VhhYSGys7NRXl6Oc+fOYdq0abh69SoyMjIQHx/f5E3Pm5rS2bdvX7z11ls261resTcOAo1GI3X+QMO799tvmD558uRm23SnDp3X/idyPwwAGWRmZiI5OVmaOaNSqZCRkSFNnXzmmWewceNGq+fs3LlT+n9aWhqioqKQl5dntc27zbZpbMGCBejXrx9SUlJgMpk4JEOkQAwAFzMYDFadP9AwjTIlJQWxsbE4e/asTefflPz8fOTk5CA+Pt6uqZaNqdVqvPDCC9BqtTa3ZSQi5eBJYBfT6XRNzqe3TJ3cs2eP3dvavn27tM2WTOlcsGCB1bBOTEwMO38iBeInABcLCgqCSqWyCQHL1EkfHx+7tzVmzBhpm2q12q4QsLz7JyLiJwAX02q1yMjIsJpSqVarpfH3iIgIzJo1667biYqKkk4ENzfVErCdopmens53+0QEgJ8AZGGZFllQUAAAGDZsmFWnvGHDBsyZMwdbt27FyZMnceHCBUyZMgVXr17F8ePHERcXZzML6PapluXl5dK2geanaBKRcjEAZHK3KZURERGIiIiQfjaZTDh06BDmzZvX5Dt9yzYtHXzj51oeIyJqjENAREQKxQAgIlIoBgARkUIxAIiIFIoBQESkUAwAIiKFYgAQESkUA4CISKEYAERECsUAICJSKAYAEZFCMQCIiBSKAUBEpFCtuhpoVVUVpk6dihUrVmDIkCHS8pKSEqxYsQJ6vR5+fn54/vnnra54mZWVhffeew8XL17Ev/3bv+Hll1/GwIEDbbaflJSEAwcOAADq6+thMpnQsWNH6fGtW7dizZo1yM7ORvv27QE03Faxd+/emDt3LmJjY1vTLLsZDAYcO3YMt27dslqm0+kQFBR0xytvWm727u/vj4SEBF6lk4jkI1qoqKhIjBw5UgQHB4t9+/ZJy6urq0VkZKT46KOPRH19vcjPzxcDBw4UJSUlQggh9u3bJwYOHCiKiorErVu3xAcffCCGDBki6urq7lhvzZo1Yvr06TbLlyxZIpYsWSL9bDKZRFZWlvjlL38pysvL7WqL0WgURUVFwmg02rW+EEKsW7dOqNVqAUCo1WqRnp5us2zdunVNPnfWrFkCgPRPpVI1u64j9vVeubqmEtooR022sW3UtLdeS/arRUNAWVlZWLhwIebPn2/z2FdffYWuXbviN7/5Dby8vDBs2DAkJCTg448/BgB89tlniIuLw+DBg9GuXTs888wz8PPzw7Zt2+45xICGu2pNmDABvr6+OHr0qEO2ebvbb75uNpuRmppqsywlJQUGg8HquYWFhTY3exdCYPbs2TbrEhG5QouGgKKjo5GQkAAvLy+bENDpdAgODrZaFhgYiC1btgBouCPVU089ZfP4sWPHWrPfNoxGI3Jzc6FSqRAZGdmi55pMJrvWO3bsmM19d5u6D6/JZMLx48fh7+8vLdu9e3eT2zSbzTbr3mkf7d1XR3B1TSW0UY6abGPbqGlvvZbsT4sC4IEHHmj2sdraWnh7e1st69ixI+rq6ux6vDVycnKQm5sLALh+/TqMRiOSkpLg5+fXou2UlZXZtd6tW7dsbr5uubevaHSTd7VajZs3b+LQoUPSsgcffLDJbTa1riP21ZFcXVMJbZSjJtvYNmo6sp7Dbgnp7e2Nmpoaq2U3btyAj4+P9PiNGzdsHm9pZ91YfHw8Vq1aBaChAy4uLsaCBQtgNpuxZMkSu7cTGhoKjUbT5IncwsJC7N27F9HR0ejfvz8SExORmZkJs9kMtVqN9957D2q1Gs8//zxMJhM0Gg3ef/99mxPRYWFh+Prrr7Fp0yZpmUqlwtq1a+06aW0ymVBWVibtqyu4uqYS2ihHTbaxbdS0t55lPXs4LACCg4ORl5dntUyv1yMoKAgAEBQUBJ1OZ/P4Y4895pD6KpUKgwYNwpgxY7B79+4WBYBGo8GGDRuksXy1Wo309HTs2bPHZty+sblz5yIpKQkajQZjx469643XN27ciLlz52Lr1q34xS9+gfj4+BbPAtJoNC77BZerphLaKEdNtrFt1HRkPYd9D2DUqFGorKzEhg0bUF9fj3379iE7O1sa9580aRKys7Oxb98+1NfXY8OGDbh06RJGjRrlqF3AiRMnkJubi/Dw8BY978cff7Q5kZucnHzHzh8A3n33XekErlarRUxMzF079IiICCxbtgypqamcAkpEsnLYJwA/Pz+sX78eK1euxJo1a9CtWzcsXboUQ4cOBQAMGzYMr776KpYtW4bz588jMDAQGRkZ6Nq1a6trZmdnY8eOHdLPnTt3RmxsLBYuXNii7Zw4ccLmZG7jMf3mmM1m6PV6BAQEtKgeEZE7aHUAHD9+3GZZaGgoNm/e3Oxzxo8fj/Hjx7eozrx585pcvmrVKmn8/149/PDDTZ7cvVsIqNVqBAYGOmQfiIhcjZeCANCrVy+kp6dL42oajQYZGRmYNWtWs89Rq9V46aWXOIxDRB7LYUNAni4xMRGxsbFWJ3ITExMxZ84c5OXlYfjw4fD390dBQQEAIDIyEpWVlTLvNRFR6zEAGtFqtTbv6CMiIhARESH9bLm2kclkYgAQkUfjENC/GAwG7Nq1i5dlICLFYAAA2LRpEwICAjBixAgEBAQgMzNT7l0iInI6BgCAF1544a4XcyMiamsYALC9oJvJZIJer5dpb4iIXIMBgIYpnY1pNBrO7yeiNo8BAOCdd96x+g5AWloa5/cTUZvHaaAAZs6ciVGjRt31Ym5ERG0JA+BfmvoOABFRW8YhICIihWIAEBEpFAOAiEihGABERArFACAiUigGABGRQjEAiIgUigFARKRQDAAiIoViABARKRQDgIhIoRgAREQKxQAgIlIoBgARkUIxAIiIFIoBQESkUAwAIiKFYgAQESkUA4CISKEYAERECsUAICJSKAYAEZFCMQCIiBSKAUBEpFAMACIihWIAEBEpFAOAiEihGABERArFACAiUigGABGRQjEAiIgUigFARKRQDAAiIoViABARKRQDgIhIoRgAREQKxQAgIlIoBgARkUIxAIiIFIoBQESkUAwAIiKFYgAQESkUA4CISKEYAERECsUAICJSKAYAEZFCMQCIiBSKAUBEpFAMACIihWIAEBEpFAOAiEihGABERArFACAiUigGABGRQjEAiIgUigFARKRQXnIUraqqwtSpU7FixQoMGTLE5vGioiIkJydLP9fV1aFDhw7QaDQAgISEBMyePRuPP/44vL29oVKpYDab4e3tjejoaLzyyiu47777XNYeIiJP5PIAOHDgAF588UVUVFQ0u054eDiKi4uln0NCQpCRkWEVFgaDAQCQk5MDrVYLAKisrMTzzz+PlStX4vXXX3dSC4iI2gaXDgFlZWVh4cKFmD9/vlO2f//992PcuHE4fPiwU7ZPRNSWuPQTQHR0NBISEuDl5eWUELh48SJ27tyJ0aNH27W+EAIAcOvWLWl4yV4mk6nVz20NV9eTo6YS2ihHTbaxbdS0t55lPUv/dicqYc9aThASEoJNmzY1eQ7AnnUNBgMef/xx+Pj4QK1Ww2Qyoa6uDv7+/sjMzMTDDz981+3eunULZWVl99QOIiJ3FBoaivbt299xHVlOAjvSl19+KZ0DuHbtGtasWYMpU6Zg27Zt6NGjxx2f6+XlhdDQUKjVaqhUKlfsLhGRUwkhYDab4eV19+7d4wOgMV9fX/zud7/Dxo0bceDAATzxxBN3XF+tVt81IYmI2qo29T2AmzdvYuPGjejYsSNCQ0Pl3h0iIrfm8Z8A4uPjpeEbtVqNfv36Ye3atejdu7fMe0ZE5N5kOwlMRETyalNDQEREZD8GABGRQjEAiIgUigFARKRQDAAiIoViADTj6tWrAACz2ezSum19UhaPq+PxmDqHEo4rA+A2lZWVmDFjBubMmQOg4bsFzlZVVYX9+/ejsrLSZZekqK2txb59+1xSC1DGceUxdQ4eV+dhADSyevVqjB49Gn369MH69etdUvOvf/0rxo4di7S0NEydOhV/+ctfcO3aNafXfffdd/HXv/4VP/30EwDnvutQynHlMXUOHlcnEiSEEGLBggUiLCxMXL58WVp269Ytp9bMzc0VEydOFGfOnBFCCPHNN9+IsLAwkZmZKa5fv+6UmvX19aKurk6MGTNGxMTEiP/5n/9xSh0LJRxXHlP+rraWHMe1McV/AhD/ejcxfPhwPPDAA+jatSu+//57zJkzB2+88QbS09Nx8+ZNp9QuKipCly5doNVqcevWLfz7v/87oqOj8cknn+DgwYMOr2e5QmBeXh769u2LmJgYHDp0SLr7mnDgOyulHFceU/6u3gtXH9fbKTIArl27hs2bN1uNKw4ePBjdu3fH3LlzsXjxYjz88MPw8/NDZmYm/vu//xuXLl1yeM2qqir4+fmhvr5euipp165dYTabcfDgwXv+pWtcUwghjWVmZ2dj5MiRmDZtGoQQ2Lp1K0wm0z2PPSrhuPKY8nfVkTWdfVzvyumfMdzM3/72NzFo0CDx3HPPiZiYGDFv3jxx8OBBcfPmTbFgwQLx5JNPitLSUmn97du3i7i4OFFRUeGwmr/97W+FTqcTR44cEeHh4eL1118X33//vUhPTxdLly4Vb731lhgzZozD25mfny+EEKKurk5aLz09XcycOVPs2LFDCCGE2Wx2WL22dlx5TPm76qg2uuK42kNRAVBVVSWSkpJEXl6eEEKI8vJysWDBApGcnCwqKyvFjh07xNq1a0VNTY24efOmEEKIixcvigEDBoiSkhKH1kxKShI1NTUiKytLJCcni4kTJ4opU6aIEydOiFOnTono6Gjx008/ObTm7NmzRXl5uRBCSO07e/aseOGFF8TixYtFVVWVEKLlf1hKOK48pvxd9aTjai9FBUBpaano37+/qKyslJbl5+eL5557TqxatUoIIYTRaBTV1dXSi79161aRkpLS6hMy9tQUQgiDwSD9Pz09XSxZsqRV9YQQoqysrMmaycnJYvny5dIyk8kkhBDiiy++EFOnThXp6emtqqeE48pjyt9VTzqu9vL4+wG0RIcOHRAWFobi4mKMHDkSADB06FAcPnwYe/fuxQ8//IDq6mq8+eabCAgIQLt27bBjxw4sWbIEHTt2dErNsrIyBAUFYfPmzaiqqoLZbMY///lPLFu2rNXtbN++/R1rHj58GI8++qh08mvkyJE4ePAg+vbt65Q2toXjymPK31VPOq72UtRJYD8/P/j6+qKoqEj6lp9KpUJ0dDTMZjMuXbqEyMhITJkyBb169UKXLl2Qm5uLqVOnOq3m1atX0bFjRwQHB6NLly7o1KkT/vGPf2Ds2LFOqSmEQFVVFQBAo9HAbDajU6dOePnll6VfTke3sS0cVx5T/q46o43OOq52c/pnDBc6ffq0NGbWeGzQbDZLH+c2btwopk+fLr788kshxM8fLYcPHy62bNniETVLSkrE/v37xenTp63q2lszKyvLpfXkaGNLax4+fFgcPnxYXLhwwWpbzjqm91qvNcdUjpqlpaVi3759QoiGoRULZx3Xe60nRxtbU9NR2swngPPnz+P3v/89duzYAQDSNDHLlLH27dujuroakZGRePDBB7Ft2zYUFBRArVZDp9PhoYcewqBBg9y6ZmVlJRITEzF37lysXbsW48ePR0FBAVQqFYxGo901f/WrX7m0nhxttLfmhQsX8Oyzz2LOnDl4++23kZqaisuXL0OtVjvlmDqqXkuOqRw1AaCmpgbLli3DihUrADS8ixdCtOjvw97j6qh6crSxpTUdyeMDQPxrbLC0tBRHjx7Fd999h9LSUukxjUYDAFixYgWGDh2Ky5cvIzk5Gf7+/pgzZw7mzZuHadOmISIiwu5xRblqrlq1Cj179sS3336L9PR0PPHEE3jjjTcAAF5eXg6t6ep6ctQ0Go146aWXoNVq8c0332Dq1KkQQuDKlSttop5cNS28vb1RV1eH8+fPIyMjA0DDF7yc8fchRz25ajqULJ87nGDp0qXilVdeEdOnTxfvvvuuuHHjhhBCiHPnzonExEQxY8YM6evWFiUlJSInJ0ecPXvW7WuePHlSPPnkk9L8aCGE2LVrl4iPjxdXrlwRFy5ccGhNV9eTo2Z+fr4YO3asNL971apVIiYmRnz44YeiuLhYVFVViZSUFDF9+nSPrCdXTQu9Xi/i4uJEWlqaGDFihDh37pwQQoiffvrJKX+Trq4nV01H8rgAKCkpEZ9++qkoKCiQxttOnjwpJkyYIC5duiTWrFkjZsyYIb799lshRMMc4sZf4Kivr5fG3zyhpqUzPH/+vHjqqadEeXm5tK3XXntNJCYmOqSmq+u5QxsvXrwojd1+9NFHYty4cWLNmjVi5syZYvjw4eKbb77xqHpy12z89yGEEMePHxeLFi0SJSUl4j/+4z/EsmXLhBBCXL582SHH1VX15KrpCh4TANeuXRMvvPCCGDJkiFiyZIl49NFHxVtvvSXNra2trRVCCFFZWSmmT58uli9fLi5evGi1jcYvnCfVfPPNN0V9fb3VL1RdXZ148sknmzxJ1pKarq7nLm1cvXq11Wtl+WKRxdNPPy1efvllIUTDH68713Onmm+//bZUMysrS6SkpAghGi56Fh0dLSZOnCjeeecdqda9Hldn1pOrpit5zPcAPvnkE5hMJuk6GpGRkUhLS8NTTz2F7t27o1OnTjAajejevTvGjRuH//u//8P+/fsRFxcnbcMyLudpNdeuXYvJkycjICBAWu/o0aO4fv06fv3rX0vLKioq0KdPnxbVdHU9d2ljWloaJk2ahPvvvx9Aw1Q9oOF6Lb6+voiKisLevXsB/DxO7q713K3mhAkTcP/996O2thbR0dEAgG+//VaaAvm73/1O2oYjXkdn1ZOrpit5xEngW7duobCwEL169ZKWxcXFobq6WjqZBfx8oCdPnowHH3wQW7duxYkTJzy+5pUrV6SaJpMJAPDBBx9g+PDh6NKlC7744gv86le/QlZWVovuXuTqeu7Uxttfx+LiYlRXV8PX1xcAcOrUKUycOLFFbZOjnjvXrKqqwvr16xEbG4tTp07hT3/6E8xmM7744gu3rydXTVdzy08Ax44dQ0FBAQICAjBixAioVCoEBARg8ODBMJvNUKvVyM/PR+fOndGnTx8IIaBSqaBSqaTHJ0yYgC+//BKdOnVqMzXNZjNUKhWuX7+OS5cuISQkBM8++ywqKirw5ptvYvTo0W5VzxPaaHkdly9fDqPRiOjoaBw6dAi3bt3CvHnzHN6+e63nCTUfeughmEwmmEwm9OjRA0lJSXj88cdhNBpRXV2NPn36uF09uWrKTtYBqNuYTCaxcuVKMXDgQLFkyRIRGRkp/vjHP4rjx4/b3Jhh8eLFYuHChTbbaOnFoTyx5g8//CBCQkJEZGSkXTfJcHU9T2qj5cRcRUWF2LJli3jttdfEBx984Hb1PKmmZcy7urra6nF7/k5cXU+umu7CrQLg9OnTYsaMGdK3P4uLi8WLL74opk+fbnVgr1y5IuLi4kRRUZG0LD8/X1y5cqXN18zLyxPl5eVi48aN4tq1a25ZzxPbaHkd7f0DdnU9T61ZU1Njdy056slV013Ifg7g2LFjOHPmDEwmE3Q6HXQ6Hfr06QOTyYSwsDCMGzcOtbW1SEtLk56TnZ2Nzp07Y/Dgwfj6668xfPhw/O1vf2vzNaOiorB582b4+flh5syZ8PHxcZt6ntrG4cOHY/PmzdLjd7rRiKvrtYWa9pyvcXU9uWq6I9nOAZw5cwYvvfQSLly4gC5dusDb2xtJSUnQarU4ePCg9PXoAQMGYPTo0di5c6c0o6GkpAQ+Pj5ITU3F4cOHsWjRIkyYMKHN11y8ePFda7q6nqe30Z7X0dN/b9y1phLa6O5k+QRQVVWFRYsWITQ0FDt27MD8+fNhNpuRnp6OkJAQbN++XVrXx8cH4eHhuO+++3D69Glcv34dBQUF+O677/DII49g7969dr0ISqjJNnp+PaXUVEIbPYEsnwAKCwthNBrx+9//HgAwbNgw/OMf/4Cvry86d+6M/fv3Izc3V7rka+/evVFaWgq1Wg1vb2/Mnz8fMTEx6NatG2uyjW2qnlJqKqGNnkCWTwCdO3dGXV0d2rdvD6PRCKDhwmrdunXDhAkT0LNnT6xbt06aT19WVobQ0FD07NkTADBx4sQWvwhKqMk2en49pdRUQhs9ghxnnm/cuCGOHDki/VxRUSFGjBgh9Hq9EKLhAkspKSli5MiRYtq0aWLo0KEiOzubNd2snhw123o9pdRUQhs9gVtMA83IyBDTp0+3WmY2m0VFRYX46quvWNND6slRs63XU0pNJbTRHckaAEajUdTU1IhRo0aJv//970IIIT799FMREhIi3TmHNd2/nhw123o9pdRUQhvdmayXgtBoNPjxxx/RrVs3tGvXDtOmTUN1dTXWrl2LmJgY1vSQenLUbOv1lFJTCW10Z7JfC+j777/HoUOHYDAYMGvWLCQnJ7OmB9aTo2Zbr6eUmkpoo7tSCfGv+xvKZM+ePSgtLUVycjLat2/Pmh5aT46abb2eUmoqoY3uSvYAEP+6UiFrenY9OWq29XpKqamENror2QOAiIjkIfvF4IiISB4MACIihWIAEBEpFAOAiEihGABERArFACAiUigGABGRQjEAiIgUigFARKRQDAAiIoX6/7AeFH6yvurRAAAAAElFTkSuQmCC", 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" ] @@ -848,7 +903,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 50, "id": "7e480699-6c54-4eec-ab03-c711f3bebf48", "metadata": { "tags": [] @@ -860,7 +915,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 51, "id": "bbe46d8a-6028-47b5-81c3-f93603c380f2", "metadata": { "tags": [] @@ -873,7 +928,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 52, "id": "6bbfc675-c944-4ea5-9abf-c43f02fca815", "metadata": { "tags": [] @@ -885,13 +940,13 @@ "Text(0.5, 0, 'date')" ] }, - "execution_count": 19, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -911,7 +966,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 53, "id": "f2a60dbd-2234-40f6-91fa-d70988f45890", "metadata": { "tags": [] @@ -923,13 +978,13 @@ "Text(0, 0.5, 'total size (TB)')" ] }, - "execution_count": 20, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -946,7 +1001,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 54, "id": "22afb955-1b4d-4ef7-a19f-53672dfbac24", "metadata": { "tags": [] @@ -958,13 +1013,13 @@ "(0.0, 3.0)" ] }, - "execution_count": 21, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -1007,7 +1062,7 @@ }, { "cell_type": "code", - "execution_count": 200, + "execution_count": 55, "id": "b4730a57-71e9-4e0c-bdae-a25902d77156", "metadata": { "tags": [] @@ -1020,7 +1075,7 @@ " 12.77815125, 12.84509804, 12.90308999, 12.95424251, 13. ])" ] }, - "execution_count": 200, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1031,7 +1086,7 @@ }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 56, "id": "10a53a39-a2a4-4cd6-b2e9-b0c310a065ff", "metadata": { "tags": [] @@ -1039,7 +1094,7 @@ "outputs": [ { "data": { - "image/png": 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", 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KPfroo3rqqaf05z//WZs2bdJ3vvMdnXLKKXrnnXf00EMP6dVXX9Vdd93V9/3/+Mc/NGPGDK1cuVK33367/ud//kdr1qzRt771Ld12220aOXKkPvroI33lK18Jet/77rtPr732mp588km9+uqrWr8++P9sN954o7Zu3aqnnnpKK1asUE5Ojq688sq+oCRJr732mp555hm99NJLqq+v13333SdJWrlypW688UYtXrxYH374oW644QZde+21qqqq0uuvv65bb71VP/7xj7Vq1SpdddVVuuqqq7RhQ+QRy/v7y1/+optuukkrV67UKaecoh//+Mfq7OzUz372Mx199NG69NJL9cADD6i9vV0XXXSRxo8frzfeeEOPPvqo3nnnnb5AJvUEwblz5+qdd97RySefrLKyMr3wwgt9zz/99NM6/fTTZbPZdPPNN8tqteq5557T6tWrdcEFF+j2229XW1v4GjGA9Pf8xzt12Z9WD3gwXnmeXYYMbWkI/W9BRb6DEs0BIJAkyT//+U/Z7XZdccUVstlsOuigg/TQQw/pq1/9qp599lkddthh+va3vy2bzaaDDz5YP/rRj/TEE0/I7+/pVRkzZozOPPNMmc1mnXjiiSotLdWWLVuivu///d//6Xvf+54qKyvlcrl08803yzB60ntDQ4Neeukl3XTTTSouLpbb7daNN96otWvX6pNPPul7jUsuuUR5eXkqKSnRzJkz+973mWee0SmnnKITTzxRJpNJJ5xwgh599FGVlZXpT3/6k8477zxNnTpVZrNZJ510kmbOnKnHH388pj+v2bNna8KECbLZbDrrrLPU0tKihoaGkOtee+01dXV16eqrr5bdbldFRYV++MMf6pFHHum7xmq16owzzpDNZpPD4dC8efP6elCam5v16quvat68eZKkJUuW6NZbb5XValVNTY3cbrc8Ho/27t0b030DSC/R+kWsZkOHlLpU39ql5jDbfhf9x3i9dd1MBp0dAHpIkqSurk4VFRV9YUCSDjnkEEk9waD/jpHRo0fL4/H0fQiXlpYGPW+1WvvCykBqa2tVUfH5/1Hy8vKUn58vSdqxY4ckaf78+UHfYzabtX37dhUUFEiSSkpK+p6zWCx9qye1tbWaMGFC0PceccQRfa+9atUqPfbYY33P+Xw+HXPMMVHvWQr+eS2Wnl/bcD/vjh071NjYqKlTp/Y9FggE5PV6g/7sTKbPs/jZZ5+t5cuXa9u2bXrzzTc1fvx4ffGLX5Qkbdu2TXfddZe2bNmiMWPG6OCDD4743gDSW89OmshTV/McFhW6bNpUFzomgomrQ0cgSZLy8nLt3LlTgUCgL5SsWLFCra2tGjVqlP7xj38EXV9dXS2bzdYXHobyvtu2bev7ur29va9/oqysTJL0wgsvBAWAqqoqVVZWqq6ubsDXrqioUE1NTdBjv//97zVp0iSVl5frzDPP1Pe///2+52pqauRwOIb08/RXXl6ugw46SC+++GLfY62trWpoaFBRUZEkBYVAqSegnHDCCfr73/+u119/vW91xOv16tJLL9XVV1+t888/X4ZhaN26dTHv/gGQ+nz+gFZtbtRLn+zUH97dGvYaQ1J5vkOtnV5tbWwPeY7G1fjIgpKNSTKMKP/Eck2Ufwb5R/nVr35V3d3deuCBB9TV1aXq6motXbpUnZ2dmjNnjjZu3Kg//OEPfc/98pe/1Ny5c4e8a+Y///M/9eCDD2rjxo3q7OzUnXfeKZ/PJ6knkHz1q1/Vz372MzU1Ncnr9er+++/XvHnz1NzcHPW1zzrrLL388st666235Pf79eabb2r58uXKzc3V/Pnz9cc//lEff/yxJGnt2rU6++yz9fe//31IP48k2Wy2vlB10kknqa2tTQ8++KC6urrU3Nys6667TosWLQoJIvubP3++/vKXv+izzz7T3LlzJfUEEo/HI4fDIcMwVFNTo7vvvrvvOQDp7cV1OzXj56/qvP95Tw+/s1WB0L5U2cyGDil1q7alUy0eX8jzNK7GT2avkNhcPcPKorF7JHsc/qZuc8V8aV5enn73u9/pjjvu0EMPPSSn06lvfvObOueccyRJDz74oH75y19q+fLlcjgcOu2007Rw4cIh3+Ill1yijo4OXXDBBeru7tb8+fP7SjGSdNddd+kXv/iFzjzzTLW2tmr8+PF68MEHVVpaqu3btw/42lOmTNHPf/5z/fznP9eOHTs0atQo/fKXv9T48eM1fvx4tbe368Ybb1RNTY0KCgp00UUX6cILLxzyz3TmmWfqJz/5idatW6dHH31UDz/8sO688049+OCD8vv9mj59uu6///4BX+P444+X3+/XKaecopycHEmSy+XS0qVL9atf/UpLlixRcXGx5s+fr6qqKq1fv15jx44d8r0DSI5YBp3lOy3Kc1i1sS584+qtcydQookjIxAIlwlTi8/n05o1azRp0iSZzeag5zwejzZv3qyxY8ce0PJ/IBBQe3u7XC7XgH+DBgZrqL+bAIZH7wm9YXbqSvq8RNPS4VVrV+iqSCaeRTPQ52yiXjezV0gAANgnlkFnNrOhyiKXNte3hQQWzqIZXgQSAEDGe3HdTv3kb58MOFsk32lRboQSjcRZNMONQAIAyFixrIoYRk9PyN52r7Y3dYQ8z8pIYhBIAAAZKZZVEbvFpMoipzbVhZZoerEykhgZE0gYVIVUw+8kkDyx7KIpcFnksllUVRu+RMNOmsRK+0Bis9lkMplUU1Oj0tJS2Wy2Qe2WCQQC6uzslMlkYpcN4iIQCKirq0t1dXUymUxpe+IykK56d9FEYhjSyAKH9rR5VdPuCX5O0kVfGaNTvlSuaWOLMmonTapL+0BiMpk0duxY7dy5M2RKaCx6x4pbrVYCCeLK5XLpoIMOChpTD2D4xNIv4rCYNLrIqY11bWEHof3m/MkcipckaR9IJPUdTtfd3d03dTRWPp9P//73v3XooYfGde81spvZbJbFYiHkAgkSS79Iocsqp9UctkRDeSb5MiKQSD3nk1itVlmt1kF9X2+AcTgcBBIASEPR+kVMhjSywKnGti41tYce+5CJg87SUcYEEgBA9onWL+Kw9uyiqaoNLdGwKpJaCCQAgLQTS79Ikdsqm9mkDbtDSzSsiqQeAgkAIK1E6xcxGdKoQqfqW7rU2O9kboacpS4CCQAgLcSyKuK0mlRZ5NL63a1hn2fIWeoikAAAUl4su2iK3VaZTUbYMEK/SOojkAAAUlYsqyLmfSWa2pZOebyhE5LpF0kPBBIAQEqKZVXEZTVpVKFLG2pDV0XoF0kvBBIAQMqJ5SyakhyrDBlhw4hEv0i6IZAAAFJKtNkiZkMaXeTUrr2d6uwOLdHQL5KeCCQAgJQQS7+Iy2bWqAJnxFUR+kXSF4EEAJB0sfSLlObYFAgobBhhVST9EUgAAEkT0y4ak6HRhU7t2usJW6JhVSQzEEgAAEkRy6qI22ZWeb5DG+s4oTfTEUgAAAn34rqduvxPqxUY4JoRuTZ1+wJhwwirIpmHQAIASKiubr9ufHpdxDBi2VeiqdnjUZcvuETDbJHMlbBA0t3drWuvvVY7d+6U2+3WPffco4KCgkS9PQAgBby4bqdufHqtGtu8YZ/PsZs1IteuTfXtYZ9ntkjmMiXqjV566SUVFxfrscce05w5c/SHP/whUW8NAEgynz+gX63YoMv+tDpiGCnLtclqNoUNIxX5Dj1wwVE69YiRw32rSJKErZDMmTNHs2fPliTV1NQoJycnUW8NAEiiaM2rFpOhyiKntjd1yOsLLeTQL5IdEtpDYrFY9P3vf19r167VQw89lMi3BgAkWCxbenPtZpXkOrS5nl002S7hTa2//e1vtXXrVl166aV68cUXE/32AIAEiGVLb3meTR1ef9gwwqpI9klYIPnLX/4ij8ejb33rW3K73TKZEta+AgBIkFhWRaxmQ5WFTlU3dqjbH1yiKXbb9LOzvsyqSBZKWCA59dRTtXjxYv3jH/+Q3+/XT3/600G/hs/ni/t99b7mcLw2AGSTlz7Zpdue/Zd2t3RFvCbXYVaxO/wumiK3VW9d+1XZLCb+m5xgw/VZOJjXMwKBwEBzaSJqbGzUOeecoyVLlmj69OmSpIaGBt1yyy1atWqVzGazTj/9dF133XWyWIaWe3w+n9asWTOk1wAADJ/3tnt097t7Ij5vSCrLs6u9y6dmT3fYaxYfW6BjRjuG5waRVJMmTZLZbB7wmgNKCh9++KGuv/56VVdXBz2+cOFClZWV6c0331R9fb0uv/xyPfzww7r44osP5G1CTJw4MeoPNFg+n09r164dltcGgGzQ1e3XJc//M+LzVrOhyiKXqhvaQ0o0Uk/z6i1zvqjZXyofztvEAIbrs7D3dWMx6EDy9NNPa9myZVq8eLEWLVrU9/jWrVu1atUqvfHGG3I6naqsrNSCBQt09913xy2QmM3mYQsNw/naAJCpog06y3NYVOCyaVOY8e8SzaupJpmfhYMOJDNmzNDcuXNlsViCAsmGDRtUUFCgsrKyvsfGjRunmpoaNTc3Ky8vLz53DABIKp8/oFWbG/Xyv3bp929vCXuNIak836HWTq+qG8MPOmNLL/Y36EBSWloa9vG2tjY5nc6gx3q/bm9vJ5AAQAZ4cd1O3fbsv7RzryfiNbZ9JZotDe3yhSnRsCqCcOK2y8blcqmjoyPosd6v3W53vN4GAJAksZzQm++0KM9hDXtCL6siGEjcAsn48eO1Z88e1dfXq6SkRJK0ceNGlZeXKzc3N15vAwBIgmgn9BqSKgocam73altTR8jzrIogmrhNJxszZoymTJmipUuXqrW1Vdu2bdN9992nefPmxestAABJ8OK6nTrmjhVqbAs/X8RmMXRIqVu79nrU2hU8d6LYbdMDFxylH/7HFwgjGFBcB6MtW7ZMP/3pTzVr1iyZTCadeeaZWrBgQTzfAgCQILFMXS1wWuR2WMKWaIrcVr17wyzZLEzmRnRDCiSfffZZ0NclJSVatmzZkG4IAJB80c6iMYyenpC97V7taApucO1dB1l61kTCCGKW8MP1AACpLVrzqt1iUmWRU5vq2hRmE43KaV7FASCQAAD6RGteLXRZ5LRZVFUbWqL53nFj9B8TyjVtbBH9Ihg0AgkAQNLAU1dNRs8umj1tXjW1B5doOKEX8UAgAYAsFsvUVce+Ek1VXZv6H8dK4yrihUACAFkqlqmrhS6rHBaTNoQp0RiicRXxQyABgCwUrXHVZEgjC5xqbOtSU3toCYepq4g3AgkAZJlojasO674STW1oiUZi6iqGB4EEALLIQI2rUk9PiM1s0obdoSUamlcxnAgkAJDhYmlcNRnSqEKn6lu61OgNDSs0r2K4EUgAIIPF0rjqtJpUWeTS+t2tIc8xdRWJQiABgAwVrXFVkordVplNRtgwIjF1FYlDIAGADBStcdW8r0RT29Ipj9cf8jxTV5FoBBIAyDDRGlddVpNGFbq0oTZ0VYTGVSQLgQQAMki0Mk1Jjk2SwoYRGleRTAQSAMgAPn9A721s0PV/XRs2jJhNhkYXOrRrb6c6u4NLNDSuIhUQSAAgzUXbSeOymTWqwBl2VUSicRWpgUACAGkoltkiklSaY1MgEL5EQ+MqUgmBBADSTCyzRXpKNE7t2usJKdHQuIpURCABgDQSy2wRt82s8nyHNtaFjn+ncRWpikACAGkgWtNqrxG5NnX7AiFhhMZVpDoCCQCkuFhKNBaTodFFTtU0edTlCx10RuMqUh2BBABSWCwlmhy7WSNy7dpU3x7yXIHTqt988ygdc0gxjatIaQQSAEhBsZdo7PL6/CFhpDd63PmNiTru0JJhu08gXggkAJBiYi3RVBY5tb2pQ15faGShRIN0QyABgBQSS4km125WSa5Dm+tDd9EwWwTpikACACki2gm9klSeZ1OH1x8SRipYEUGaI5AAQAqIdkKv1WyostCp6sYOdfs/jyw0rSJTEEgAIMmilWlyHRYVu21Bjas0rSLTEEgAIAl6z6LZtbdDtz/3adgwYkgqy7ervdOnLQ3Bu2hoWkWmIZAAQILFsovGajZUWeTS1oZ2+SjRIAsQSAAggWLZRZPnsKjAZdOmMOPfKdEgU3GgAQAkgM8f0Nsb6gccdGaoZ7dMQAFVNwaXaIrdNt1/wVGUaJCxWCEBgGEWS4nGtq9Es6VfiUbihF5kBwIJAAyjWEo0+U6L8hxWTuhFVuM3HACGQawlmpEFDvl8AW1r6gh5vjzfQZkGWYMVEgCIs5hKNBZDBxW5tKmuTftXaIrcVt1y2pdUnudg/DuyCoEEAOIolhJNgdMit8OiqtrPSzT7l2dYEUE2omQDAHHi8wd027P/ilyiMaRRBQ55fQHtaApePaE8g2zHCgkAxIHPH9DDb2+OWKaxW0yqLHKGlGgYdAb0IJAAwBBF6xkpdFnltJnDlmgYdAb0IJAAwBAM1DNiMqSKAof2tHnV1B58ii9n0QDBCCQAMEixHIzn2FeiqaprU4ASDRAVgQQABiGWLb1FLqvsFpM2UKIBYkYgAYAYRdvSazKkkQVONbZ1qZESDTAoBBIAiMLnD+i9jQ0DTl11WPeVaGqDSzSSdMucw3XRcWMp0QADIJAAwABiKdEUu62ymk3asDv0LJryfAdhBIgBgQQAIoilRDOq0Kn6li51eINLNL3x49a5EwgjQAwIJAAQRrSpq06rSZVFLq3f3Rr2eXpGgMEhkADAfnq39L5dVRexTFPstspsMkLCCAfjAQeOQAIA+0TrFzHvK9Hsbu5UZ7e/73EOxgOGjkACAIreL+KymTSqwKUNtaElGsozwNARSABktVi29Jbk2CQpJIwwdRWIHwIJgKwVtURjMjS60KFde8OXaJi6CsQPgQRAVopeojFrVIGTEg2QIAQSAFkn2pbe0lybAv7QEs2VJx2q4w4tYQcNMAwIJACyRrQtvWaTocpCp3bu9YSUaMrzHVp08hcIIsAwIZAAyArR+kXcNrMq8h2qqgsd/y4xcRUYbgQSABkvWr9Iaa5NPl8gJIxI9IsAiUIgAZCResszu/Z26PbnPg0bRiwmQ6OLnKpp8qjL5w96ji29QGIRSABknFhO6M2xmzUi165N9e1Bj7OlF0gOAgmAjBKtPCNJI/Ls8nb7Q8KIRIkGSBYCCYCMEW07r3VfiWZ7U4e8vuCr2NILJBeBBEDai+WE3hy7WaW5Dm2uD91Fw5ZeIPkIJADSWiz9ImV5dnm8vrBhRGJLL5AKCCQA0la0fhGruWfQWXVjh7r9oVfRLwKkDgIJgLQUrV8k12FRsdsW0rha5LbqltO+pPI8B/0iQAohkABIK9H6RQxJZfl2tXf6tKWhPehxSVp61kRWRIAURCABkDai9YtYzYYqi1za2tAuX78SDeUZILURSACkhWj9InkOiwpcNm3qN/6d7bxAeiCQAEh5A/WL9G7bbfV4Vd3YHvI423mB9EAgAZCSentFals8qm/pDFumse0r0WzpV6JhOy+QfggkAFJOLLNF8p0W5Tms2sgJvUBGIJAASCnRekUMSRUFDjW3e7WtqSPoOfpFgPRFIAGQMqLNFrFbTKoscmpTXZv230RDvwiQ/ggkAJIulrNoCpwWuR0WVdUy/h3IRAQSAEkVrV/EMKSR+Q7tafdqR1PoNfSLAJmBQAIgaaL1i0Qq0dwy53CV5No1Ipfx70CmIJAASIpo/SKFLqucNnNQiaa3V+Si48YSQoAMQyABkDCxzBYxGdLIAoea2rxqavf2PU6vCJDZCCQAEiKW2SKOfSWaqro2BfotndArAmQ2AgmAYRetV0SSilxW2S0mbajlLBogGxFIAAyraL0iJkMaVeBUfWuXGvuVaJgtAmQPAgmAYbVqc2PEMo3DalJlkUtVta1BJRr6RYDsQyABEHf7N69u2N0a9ppit1UWkyns8/SLANmHQAIgrqI1r5oMaVShU3UtnfJ4Py/RMFsEyG4EEgBxE6151bmvRLN+v1URZosAkAgkAOIkWvNqsdsqs8kICSMSvSIACCQAhiCWQWfmfSWa3c2d6uz2Bz1HrwiAXgQSAAcklkFnLptJowpc2lD7+arIlSeN0/iyXHpFAAQhkAAYtFgGnZXk2CQpKIxI0nGHlurYccXDeHcA0hGBBMCgROsVMZsMjS50aNfe4BJNb/PqtLFFCblPAOmFQAJgUAYadOaymTWqwBmyKkLzKoBoCCQAoopl0Flprk1+fyAkjEg0rwKIjkACYEDRmlctJkOjCp3atdcTVKJh0BmAwSCQAIgoWvOq22ZWeZ5DG+s/P6GXQWcADkTCAklXV5cWL16s+vp6eb1e3XjjjZo0aVKi3h7AIEVrXh2Ra1e3zx8SRiR6RQAMnilRb/TUU09pzJgxeuSRR3TnnXfqjjvuSNRbAzgAkZpXLSZDY0pc2tPuVWO7N+i58nyH7r/gKHpFAAxawlZITjvtNBlGz9+Y/H6/bDZbot4aQAz2b1wdkevQrubQMJJjN6s0167N9e19jzHoDEA8JCyQ5OTkSJIaGxt17bXX6sYbb0zUWwOIIlzjap4z+D8PZXl2dXp9QWFEYtAZgPhIWMlGkrZs2aJvf/vbuuKKK3T00Ucn8q0BRNDbuNq/PNPc0S2pp0QztsSlxrYu7dn3mNTTL1LBoDMAcZKwFZLdu3fr8ssv15133qkjjzwyUW8LYADRGldz7WYV5zi0pb4t6BqaVwHEW8ICyf3336+2tjbdc889kqTCwkItW7ZsUK/h8/nifl+9rzkcrw2kuvc2NUScL1KeZ1eH16ctDW0qclvV2PZ5A2t5vkO3zPmiTj58BP/fATLAcH0WDub1jEAgMND5WBE1NjbqnHPO0ZIlSzR9+nRJUkNDg2655RatWrVKZrNZp59+uq677jpZLEPLPT6fT2vWrBnSawDo4QsE9Gldl5o8fm1v7taTn7YFPW81G6osdKq6sUPd/p7/PPxgWp6KnWY1efwqdJh0eKlNZoOVEQCxmTRpksxm84DXHFBS+PDDD3X99deruro66PGFCxeqrKxMb775purr63X55Zfr4Ycf1sUXX3wgbxNi4sSJUX+gwfL5fFq7du2wvDaQal76ZJd++vdPtau5M+zzeQ6LCl02berXuDp94mE65hAaV4FMNVyfhb2vG4tBB5Knn35ay5Yt0+LFi7Vo0aK+x7du3apVq1bpjTfekNPpVGVlpRYsWKC77747boHEbDYPW2gYztcGUsGL63bqikfXhO0XMSSV5dvV1tmtrY3tQY+X5zt0zLhSekWALJDMz8JB77KZMWOGXn75ZZ166qlBj2/YsEEFBQUqKyvre2zcuHGqqalRc3Pz0O8UwAEbqHnVajY0ttStupYutXg+r/fSuAogkQYdSEpLS8P2hLS1tcnpdAY91vt1e3t7yPUAEifS1NU8h0UV+U5tqmuTzx8cV5i6CiCR4rbLxuVyqaOjI+ix3q/dbne83gZADKJNXe0txbR6vKpuZOoqgOSLWyAZP3689uzZo/r6epWUlEiSNm7cqPLycuXm5sbrbQBEEW7qqtP6+WKozWyossilLQ3tIasiTF0FkCxxm9Q6ZswYTZkyRUuXLlVra6u2bdum++67T/PmzYvXWwCIItLU1Q6vX5KU77RoRJ5DG/uVaJi6CiDZ4jo6ftmyZeru7tasWbM0f/58HX/88VqwYEE83wJABAM1rhqSRhY45PMFtKOpI+Q5ieZVAMk1pJLNZ599FvR1SUnJoKevAoiPSI2rdotJlUU9jav+gFTktqmxravv+fJ8h26dO4HmVQBJlbDR8QDiK1rjqiQVOC1yOyyqqv18Gustcw5Xeb6z7/toXgWQCggkQBoK17ia6/h8mJFhSCPzHdrb0a0dTcFBpTzfSeMqgJRDIAHSTG/jav9ekd6hZv1LNL16t/rSuAogFRFIgDQyUOOqJBW6rHLazNpY2xZ0DY2rAFJdXHfZABhekRpXTYY0utChzm6/avZ4VOi2BT3P1FUAqY4VEiBF9W9anTa2SLUtoWHEsa9EU1XXpsC+ZREaVwGkGwIJkILCNa1W5Ds0Z2J50HVFbqvsZpM27LeLRqJxFUD6IZAAKSZS0+rOvR49+NYWST0lmlEFTtW3dqnR6+27hsZVAOmKQAKkkGhNq5Lktpk1qtCpqtrWkF00Eo2rANITTa1AConUtNqr2G1Vjt2iORNHqizPEfQcjasA0hkrJEAKCde0Ku0r0RQ6VdfSKY/XqzElLr113cyQpldWRgCkKwIJkET9d9KU5NhDrnFaTaoscmn97ta+x0bkOmQ2GTSuAsgYBBIgScLtpCnJsclsMuTb1xxSnGOTSeoLIzStAshUBBIgCSLtpKlv7TmF12xIowud2tXcqc5uvySaVgFkNppagQSLtpPGZTNpYmW+OrsDfWFEomkVQGZjhQRIsIF20pTk9Ix8X1O9V498b7pMJoOmVQBZgUACJFi4nTRmk6HRhQ7t2vt5iaa+rVNnTBqV6NsDgKQgkADDKNx5NAXO4IPvXDazRhY4VNVv/PuI3OA5IwCQyQgkwDAJt4umNMcmq+Xz1q3SXJv8/kBQGGEnDYBsRCABhkGkXTR1+3bRuG1mjci1q2aPR52+zxtX2UkDIFuxywaIs2i7aHLsZn1pZJ4Wz/6iinKCyzfspAGQrVghAeJsoF00I3Lt6vb5tWpLkxadfBjj3wFgHwIJEGfhdtFYTIZGFzlV0+RR174STW2Lh/HvALAPgQQ4QOF20JhNhvIc1qDrcuxmlebatbm+PehxdtEAwOcIJMABCLeDpiLfoe/NGKNHVm7re6wsz65Ory8ojLCLBgBCEUiAQYq0g2bnXo+WPPdvSVKR26oCp1XbmzrU5fv8SnbRAEB47LIBBiHaDhpJKnZb9dLCE3Xt176o4hx70HPsogGA8FghAQZhoB00klSeZ1eH16eq2lZ97csVOnlCObtoACAGBBJgEMLtoJEkq9lQZZFT1Q0d6vYH+q5jFw0AxIZAAgxCuJ0xeQ6LCl02baprH/A6AEBkBBIggnDbeu0Wk8yGIV8gIENSWb5dbZ3d2trYE0bYQQMAB4ZAAoQRbltvrsOits5u+QOSzWyossilLQ3t8vl7WlzZQQMAB45dNkA/vdt6+zevtnh6wsi0MYVadt4ktXf5+sKIxA4aABgKVkiA/Qy0rddQz/CzxrYunTyhQidPqGAHDQDECYEE2E+kbb39SzSrNjfq2HHF7KABgDghkAD7CbetN99pUZ7Tqo11bQNeBwA4cPSQAPtpaO3q+3dD0sgCh3y+gLY1dgRdx7ZeAIgvVkiQlfpv6Z1ycKH++/WNunfFekmS3WJSZZFTm+ratF/fKtt6AWCYEEiQdcJt6bVZTOrq9kuSjj+0WJvq27Sxti2ouZVtvQAwfCjZIKtE2tLb1e2XYUiXHj9W/3vxMbrltAkqzw8uy7CtFwCGDyskyBoDbem1W0w6qMipZz/eqWu/fjgH4wFAghFIkDUibektdFnlsJq1obat77pjxxVzMB4AJBAlG2SN/lt1TYY0utChzm5/UFBhSy8AJB4rJMgK3T6//vnv2r6vHft20VTVtSnQr4bDll4ASDwCCTJKuBN6a1s8+sFjH+n9LU2SpCK3VTazqa9E04stvQCQPAQSZIxw23kLXVZ1+fxq6/Qpx27Wd78yRg++tUVNXm/Q97KlFwCSi0CCjNC7nbf/Dpqm9p7gMabYpYe/M01jStyaMCo/JLiU5zt069wJbOkFgCQhkCDtDbSdV5KK3TblOCyqLHJJElt6ASAFEUiQ9iJt5zUZ0qhCp+paOrVuR3Pfdl5JbOkFgBRDIEHaC7dN12k1qbLIpfW7Wwe8DgCQGggkSHv9t+0W59hkkoLCiMR2XgBIZQQSpLXn1+7Uzc+skySZ95Vodjd3qnPfQXkS23kBIB0QSJAW+s8XOXJ0vu544d/63/e2SpK+MCJHAUlVta2c0AsAaYhAgpQXbr6IxWSo298TPS4/8RBdfcpheuXT3WznBYA0RSBBSos0X6TbH5DZZOiak8fr8pPGS2I7LwCkMwIJUtZA80XcNrNGFjj0x/eq9f0TD+0LHWznBYD0xGm/SFmR5ouU5trksPacRbNzr0erNjcm4e4AAPHECglSVv+5IRaTodGFTtXs8ajL5494HQAg/RBIkJLau7r11OodfV+77WaV5zq0sb4t5FrmiwBA+iOQIOV8tqtFVzy6WlW1PYPNRuTa1e3zh4QR5osAQOYgkCBp+s8WmTqmUH9dvV23/u0Tebx+jci16/vHj9VdL30mry+4tZX5IgCQWQgkSIpws0UcVpM83p7ekOPHl+jecyapJMeu0UUu5osAQIYjkCDhIs0W6Q0j5x49WkvPPkKmfSsfzBcBgMxHIEFCDTRbxGo2VFno1NsbG0KeZ74IAGQ25pAgoSLNFsm1mzWqwKVN9e3a1tTBbBEAyDIEEiRUuJkh5Xl2mUyGtjS0DXgdACBzUbJBwgQCAa3euqfva6vZUGWRU9UNHX0H5fVitggAZBcCCRJib7tX1/71/+mlT3ZLkvIcFhW6bNpU1x50HbNFACA7EUgQV/1ni0wbW6S1O/bqykdXa3tTh6xmQ+dNrdQza3aoujE0jEjMFgGAbEQgQdyEmy2S67CorbNb/oB0UJFTvz7/KB0xukBfObSE2SIAgD4EEsRFpNkiLZ5uSdK0MYV68KKpynNYJTFbBAAQjECCIRtotoghqSLfoca2Lrltwb9uzBYBAPRi2y+GLNJsEZvZ0CGlbu1q9qiqro3ZIgCAiFghwZCFmxmS77Qo12HVxjpmiwAAomOFBEPW0NrV9++GpJEFDvl8AW1v6gi6jtkiAIBIWCHBAfP5A7rvn1W6d8V6SZLdYlJlkVOb6tq0/5wzZosAAKIhkOCA1LV0atGf1+itqnpJ0gnjS7SxrlUba9uCmluZLQIAiAWBBAMKN+jsvU0N+uHja1Tf2imn1azbz/iS5h1dGXYOCbNFAACxIJAgonABI8duVlunTwFJh5Xl6NfnH6XxZbmSmC0CADhwBBKEFWnQWWunT5J00hdKdd8FU+S0mYOeZ7YIAOBAEEgQYqBBZyZDGlXg1NbGdtksbNICAMQHnygIEWnQmcNq0rhSt7bv6dCmegadAQDihxUShAg3wKzIbZXNbNKGWgadAQDijxUShNh/oJnJkCoLnero8mtXc2fQdQw6AwDECysk6OP1+XX3S5/pt29skiQ5rSaNLnKpqrZVAQadAQCGEYEky4SbK2I2Gdre1K4rH/1Ia7btkSTNnlCm/7dtj6p2tzLoDAAw7AgkWSTcXJGKfIfOmDRSj66sVrOnW3kOi+6ed4Rmf7mCQWcAgIQhkGSJSHNFdu716IHXe0o0kyrztfy8o1RZ5JLEoDMAQOIQSLLAQHNFeo0udOqxS45l0BkAICnYZZMFIs0VkSSzIR1U5FRdS2df/wgAAInGCkkWiDQvxGUza3ShU+t3tw54HQAAw41AkgXCzQspybFJAfWFkUjXAQCQCASSLLCr2SNDUkA9PSGjC53atdejzm6/JOaKAACSj0CSwTxen2579hM9tmqbJMltM2tkgSNo/DtzRQAAqYBAkqYiDTjrVVXboise+Uif7W6RYUhXnXSoJo7K14//9knQ6zBXBACQCpISSFasWKFXXnlFd9xxRzLePu1FGnDWGyz++uF23fzMOnV4fSrJsem/zpmsGeNLJEkzDy9jrggAIOUkPJDcc889WrFihSZNmpTot84IkQac7drr0WV/Wq1jDynSu5saJUnHjSvWvedOCmpWZa4IACAVJTyQTJw4UTNmzNAzzzyT6LdOewMNOOt97N1NjTIZ0sJZ43XFzPGsfgAA0kLCB6PNnj1bhsGH5IEYaMBZL4vJ0JIzvqwf/McXCCMAgLRBU2saiTa4LMduVmmuXW4H/7MCANILo+PTyECDy8ry7LKYDG2ub2fAGQAg7aTVX6V9Pt+wveZwvHa8TTkoX2W5Nu1u6ep7zGruGXS2rbFDPn9AFfkOTTkoPy1+HgBAahiuz8LBvJ4RCAQGOgR2QI2NjTrnnHO0ZMkSTZ8+XZLU0NCgW265RatWrZLZbNbpp5+u6667ThbLgWcfn8+nNWvWHPD3Z4o2r18/e7NJnzV4JUm5douKc+za0vD5oLPFxxbomNGskAAAUsekSZNkNpsHvOaAU8KHH36o66+/XtXV1UGPL1y4UGVlZXrzzTdVX1+vyy+/XA8//LAuvvjiA32rPhMnToz6Aw2Wz+fT2rVrh+W142ntjr26+fE1qm70ymwYOrjYqfrWrr4wUpHv0C1zvqjZXypP8p0CANLNcH0W9r5uLA4okDz99NNatmyZFi9erEWLFvU9vnXrVq1atUpvvPGGnE6nKisrtWDBAt19991xCSRms3nYQsNwvvZQBAIB/eGdLVr6/L/V5fNrVIFTy8+frCNHFzDgDAAQV8n8LDygQDJjxgzNnTtXFoslKJBs2LBBBQUFKisr63ts3LhxqqmpUXNzs/Ly8oZ+x1lkb7tX1/71/+mlT3ZLkk6ZUKa75x2pfJdVkhhwBgDIGAcUSEpLS8M+3tbWJqfTGfRY79ft7e0EkkH4qLpJVz32kbY3dchqNnTj1w/XRceNYYYLACAjxXWXjcvlUkdHR9BjvV+73e54vlXG6H9I3tQxhXr4nS2684V/q9sf0EFFTv36/KN0xOiCZN8qAADDJq6BZPz48dqzZ4/q6+tVUtJzmNvGjRtVXl6u3NzceL5VRgh3SJ7dYlJnt1+SNGdiue74xhHKc1iTdYsAACREXAejjRkzRlOmTNHSpUvV2tqqbdu26b777tO8efPi+TYZofeQvP6j4Du7/TIkfecrB+vX5x9FGAEAZIW4T2pdtmyZuru7NWvWLM2fP1/HH3+8FixYEO+3SWsDHZJnMxsaV+rWP/61W/4DnhADAEB6GXLJ5rPPPgv6uqSkRMuWLRvqy2a0SIfk5TstynVYVVXX1ncdO2kAANmAs2ySoP8heYakkQUOdfsC2t7UEfE6AAAyVVqdZZMJfP6A3tpQ3/e13WJSZZFTm+raQko0HJIHAMgWBJIEqmvp1MI/f6S3qxokSQUuq1w2s6pq24KuMySV5/dMXwUAIBtQskmQt6vq9fVfvam3qxrktJp12Qlj1d3t1849oeUbSbp17gRGwQMAsgYrJMPM5w/oV69s0PJXNygQkA4ry9FvvnmUDh2Rq0kHFYbMISnPd+jWuRP0tS9XJPGuAQBILALJMNrd7NEPHvtIKzc3SpLOnVqpW+d+SU5bz8FFX/tyhU6eUM4heQCArEcgGSavr6/T1X9eo4a2LrltZi0968s6Y/LokOvMJoOtvQCArEcgGaL+Z9EcdVCB/uuVDbr/tY2SpMMrcvWb84/SIaU5Sb5TAABSF4FkCMKdRWM1G/L6evbvXnjMQbppzgQ5rOZk3SIAAGmBQHKAes+i6T/d3esLyGRIV550qK4+5bCk3BsAAOmGbb8HYKCzaJxWkw4dkaMnP9wuH4fRAAAQEwLJAYh0Fk2x26Y8h1Xrd7eqZq9Hq/btrgEAAAOjZHMA+p8xYzKk0YVO1bZ0yuP1R7wOAACERyAZpM5un15Yt6vva6fVrNGFTm2obQ25lrNoAACIDYFkELY2tOnKRz/S2h17JUklOTYZUkgY4SwaAAAGhx6SGD338U6dtuwtrd2xVwVOq645ZbxaPd2qb+0Kuo6zaAAAGDxWSKLweH1a8ty/9Kf3qiVJRx9cqGXnTdbIAqcOHZHLWTQAAMQBgWQAm+padcWjH+nTnc2SpAVfHadFJ39BVnPPwhJn0QAAEB9ZHUh8/oDe29Sg96s75Mlr0DHjSvvCxP+t2aEbn1qrti6filxW3XvuZJ34hdKQ1+AsGgAAhi5rA0nI2PeV76si36Ebvv5FvbOxQY+/v02SNH1skZadN1lleeyYAQBguGRlIIk09n3nXo9+8PgaSZJhSFeddKh+MGu8LGZ6fwEAGE5ZF0gGGvvey2Y29OC3p+qEMCUaAAAQf1kXSCKNfe/ltptVlmvva1wFAADDL+sCyUDj3Efk2uX1+bWpvp2x7wAAJFDWBZJw49wtJkOVRU5tb+qQ1xeIeB0AABgeWVeXmDa2SBX5Du0/KcRkSJvr2+X1BWRIqmDsOwAACZV1gcRsMnTr3AmSPh/z3rVvVYSx7wAAJEfWBRKpZ8Lq/RccpfL84LJMeb5D919wFGPfAQBIsKzrIenVO/b9vY11en/dek398heCJrUCAIDEydpAIvWUb445pFiOZqcmHVJMGAEAIEmysmQDAABSC4EEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkXVqMjg8Eek7j9fl8cX/t3tccjtcGACAdDNdnYe/r9X6OD8QIxHJVknV1dWnt2rXJvg0AAHAAJk6cKJvNNuA1aRFI/H6/uru7ZTKZZBgcgAcAQDoIBALy+/2yWCwymQbuEkmLQAIAADIbTa0AACDpCCQAACDpCCQAACDpCCQAACDpCCQAACDpCCQAACDpCCQAACDpCCQAACDpCCQR+P1+3XDDDTr33HN18cUXq7GxMdm3BABAUqxYsUI33HDDsL4HgSSCl19+WXa7XY8//rjOPvts/fa3v032LQEAkHD33HOP7rnnnpgOyBsKAkkEq1ev1owZMyRJxx9/vN57770k3xEAAIk3ceJE/eQnPxn29yGQRNDa2qqcnBxJktvtVltbW5LvCACAxJs9e3ZCDrYlkESQk5PTF0La2tqUm5ub5DsCACBzEUgimDRpkt5++21J0htvvKHJkycn+Y4AAMhclmTfQKo65ZRT9MYbb+jcc8+V1WrVvffem+xbAgAgYxmB4W6bTRGNjY0655xztGTJEk2fPl2S1NDQoFtuuUWrVq2S2WzW6aefruuuu04WCzkNAJB5UvmzMCtKNh9++KHOOeccVVdXBz2+cOFCuVwuvfnmm3ryySf17rvv6uGHH07OTQIAMIxS/bMw4wPJ008/rWuuuUaLFi0Kenzr1q1atWqVFi9eLKfTqcrKSi1YsECPPPJIku4UAIDhkQ6fhRkfSGbMmKGXX35Zp556atDjGzZsUEFBgcrKyvoeGzdunGpqatTc3Jzo2wQAYNikw2dhxgeS0tLSsHWwtrY2OZ3OoMd6v25vb0/IvQEAkAjp8FmY8YEkEpfLpY6OjqDHer92u93JuCUAABIqlT4LszaQjB8/Xnv27FF9fX3fYxs3blR5eTlD0AAAWSGVPguzNpCMGTNGU6ZM0dKlS9Xa2qpt27bpvvvu07x585J9awAAJEQqfRZmbSCRpGXLlqm7u1uzZs3S/Pnzdfzxx2vBggXJvi0AABImVT4Ls2YwGgAASF1ZvUICAABSA4EEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAkHYEEAAAk3f8HOCGSn2wMshkAAAAASUVORK5CYII=", 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" ] @@ -1082,7 +1137,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 57, "id": "b2a17ccd-0445-4cfc-b848-879262ad3d00", "metadata": { "tags": [] @@ -1095,7 +1150,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 58, "id": "93992448-d8b5-4937-9071-df972c0e677c", "metadata": { "tags": [] @@ -1105,10 +1160,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/conda/lib/python3.10/site-packages/pandas/core/arraylike.py:402: RuntimeWarning: overflow encountered in exp\n", + "/Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages/pandas/core/arraylike.py:396: RuntimeWarning: overflow encountered in exp\n", " result = getattr(ufunc, method)(*inputs, **kwargs)\n", - "/opt/conda/lib/python3.10/site-packages/scipy/optimize/_minpack_py.py:862: RuntimeWarning: overflow encountered in square\n", - " cost = np.sum(infodict['fvec'] ** 2)\n" + "/Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages/scipy/optimize/_minpack_py.py:966: RuntimeWarning: overflow encountered in square\n", + " cost = np.sum(infodict['fvec'] ** 2)\n", + "/Users/oruebel/miniforge3/envs/py4nwb/lib/python3.11/site-packages/scipy/optimize/_minpack_py.py:1010: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n" ] } ], @@ -1123,7 +1180,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 59, "id": "51851a65-345e-442e-ae58-5414c09325eb", "metadata": { "tags": [] @@ -1135,7 +1192,7 @@ "array([1., 1.])" ] }, - "execution_count": 43, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1146,7 +1203,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 60, "id": "ba6670fe-e9ca-4043-870d-475c4fce7afb", "metadata": { "tags": [] @@ -1158,7 +1215,7 @@ "['MB', 'GB', 'TB', 'PB']" ] }, - "execution_count": 59, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1170,13 +1227,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 31, "id": "b9be3f32-7f4c-4632-83db-b9a168eb849a", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1198,13 +1255,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 32, "id": "6081564b-20f0-46e7-becf-7779742060d9", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -1227,7 +1284,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 33, "id": "2feb5e3e-d5d5-4bd7-9efe-57935e442fd9", "metadata": {}, "outputs": [], @@ -1241,7 +1298,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 34, "id": "3502f9f0-8899-4f67-a033-0aba8e06afda", "metadata": {}, "outputs": [ @@ -1249,11 +1306,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 148/148 [00:04<00:00, 30.55it/s]\n", - "100%|██████████| 572/572 [00:18<00:00, 30.51it/s]\n", - "100%|██████████| 263/263 [00:08<00:00, 29.49it/s]\n", - "100%|██████████| 60/60 [00:01<00:00, 30.79it/s]\n", - "100%|██████████| 513/513 [00:16<00:00, 30.31it/s]\n" + "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 148/148 [00:16<00:00, 9.06it/s]\n", + "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 572/572 [01:05<00:00, 8.73it/s]\n", + "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 263/263 [00:29<00:00, 8.80it/s]\n", + "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 60/60 [00:06<00:00, 8.80it/s]\n", + "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 513/513 [00:57<00:00, 8.89it/s]\n", + " 0%| | 0/1576 [00:00 9\u001b[0m sex \u001b[38;5;241m=\u001b[39m \u001b[43masset_metadata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwasAttributedTo\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39msex\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sex \u001b[38;5;129;01mand\u001b[39;00m sex\u001b[38;5;241m.\u001b[39mname \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMale\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 11\u001b[0m asset_list\u001b[38;5;241m.\u001b[39mappend(asset)\n", + "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable" ] } ], @@ -1273,28 +1342,17 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "id": "56e1dc46-a74e-4cb0-8dcb-eb8f526a3a7d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "660" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "len(asset_list)" ] }, { "cell_type": "code", - "execution_count": 79, + "execution_count": null, "id": "1b6c2570-0e72-4c41-ae90-6b4372321ffd", "metadata": {}, "outputs": [], @@ -1327,7 +1385,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.9" + "version": "3.11.0" } }, "nbformat": 4, diff --git a/requirements.txt b/requirements.txt index 77b351c..8f1dbe9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,4 +8,5 @@ cloc # https://github.com/AlDanial/cloc requests hdmf-docutils # used to programmatically create RST pages PyGithub # For issue response time analysis -tqdm # For issue response time analysis \ No newline at end of file +tqdm # For issue response time analysis +dandi \ No newline at end of file diff --git a/src/nwb_project_analytics/dandistats.py b/src/nwb_project_analytics/dandistats.py new file mode 100644 index 0000000..09decda --- /dev/null +++ b/src/nwb_project_analytics/dandistats.py @@ -0,0 +1,421 @@ +""" +Compute DANDI statistics for NWB projects +""" + +from dandi.dandiapi import DandiAPIClient +from collections import defaultdict +from tqdm import tqdm +import numpy as np +import pandas as pd +import os +from matplotlib import pyplot as plt +from matplotlib import dates as mpl_dates +from hdmf_docutils.doctools.output import PrintHelper +from hdmf_docutils.doctools.rst import RSTDocument, RSTFigure + + +class DANDIStats: + + # Map NWB neurodata_types to types of physiology ecephys, ophys, icephys + NEURODATA_TYPE_MAP = dict( + ecephys=["LFP", "Units", "ElectricalSeries"], + ophys=["PlaneSegmentation", "TwoPhotonSeries", "ImageSegmentation"], + icephys=[ + "PatchClampSeries", + "VoltageClampSeries", + "CurrentClampSeries", + "CurrentClampStimulusSeries", + ], + ) + + # Dict with mappings used to clean up species + SPECIES_REPLACEMENT = { + "Mus musculus - House mouse": "House mouse", + "Rattus norvegicus - Norway rat": "Rat", + "Brown rat": "Rat", + "Rat; norway rat; rats; brown rat": "Rat", + "Homo sapiens - Human": "Human", + "Drosophila melanogaster - Fruit fly": "Fruit fly", + "Danio rerio - Leopard danio": "Zebrafish", + "Macaca mulatta - Rhesus monkey": "Rhesus monkey", + "Danio rerio - Zebra fish": "Zebrafish", + "Macaca nemestrina - Pig-tailed macaque": "Pig-tailed macaque", + "Cricetulus griseus - Cricetulus aureus": "Chinese hamster", + "Caenorhabditis elegans": "C. elegans", + "Canis lupus familiaris - Dog": "Dog", + "Oryctolagus cuniculus - Rabbits": "Rabbit", + "Bos taurus - Cattle": "Cattle", + "Macaca nemestrina - Pigtail macaque": "Pigtail macaque", + "Ooceraea biroi - Clonal raider ant": "Clonal raider ant", + } + + # Name of the file where dandi nwb statistics are cached + DANDI_NWB_STATS_FILENAME = "dandi_nwb_stats.tsv" + + @staticmethod + def is_nwb(metadata): + """Check if the dandiset is a NWB dandiset""" + return any( + x['identifier'] == 'RRID:SCR_015242' + for x in metadata['assetsSummary'].get('dataStandard', {}) + ) + + @staticmethod + def has_related_publication(metadata): + """Check if the dandiset has related publications""" + return "relatedResource" in metadata and any( + x.get("relation") == "dcite:IsDescribedBy" for x in metadata["relatedResource"]) + + @staticmethod + def cached(output_dir): + """Check if a complete cached version of this class exists at output_dir""" + return os.path.exists(os.path.join(output_dir, DANDIStats.DANDI_NWB_STATS_FILENAME)) + + @classmethod + def compute_dandi_nwb_stats(cls, + cache_dir: str, + read_cache: bool = True, + write_cache: bool = True, + print_status: bool = True): + """ + Compute the NWB statistics for all DANDI datasets + + :param cache_dir: Path to the director where the files with the cached results + are stored or should be written to + :param read_cache: Bool indicating whether results should be loaded from cache + if cached files exists at cache_dir. NOTE: If read_cache is + True and files are in the cache then the results will be + loaded without checking results (e.g., whether results + in the cache are complete and up-to-date). + :param write_cache: Bool indicating whether to write the results to the cache. + :param print_status: Print status of creation (Default=True) + """ + cache_filename = os.path.join(cache_dir, DANDIStats.DANDI_NWB_STATS_FILENAME) + if cls.cached(cache_dir) and read_cache: + if print_status: + PrintHelper.print("LOADING DANDI NWB statistics from %s" % cache_filename, PrintHelper.BOLD) + return pd.read_csv( + cache_filename, + sep="\t") + if print_status: + PrintHelper.print("BUILDING DANDI NWB statistics", PrintHelper.BOLD) + + client = DandiAPIClient() + dandisets = list(client.get_dandisets()) + + data = defaultdict(list) + for dandiset in tqdm(dandisets): + dandiset = dandiset.for_version("draft") + identifier = dandiset.identifier + metadata = dandiset.get_raw_metadata() + + if not cls.is_nwb(metadata) or not dandiset.draft_version.size: + continue + data["identifier"].append(identifier) + data["created"].append(dandiset.created) + data["modified"].append(dandiset.modified) + data["size"].append(dandiset.draft_version.size) + if "species" in metadata["assetsSummary"] and len(metadata["assetsSummary"]["species"]): + data["species"].append(metadata["assetsSummary"]["species"][0]["name"]) + else: + data["species"].append(np.nan) + + data["nauthors"].append( + sum(x.get('schemaKey', []) == "Person" for x in + metadata["contributor"]) if "contributor" in metadata else 0 + ) + + for modality, ndtypes in cls.NEURODATA_TYPE_MAP.items(): + data[modality].append( + any(x in ndtypes for x in metadata["assetsSummary"]["variableMeasured"]) + ) + + data["numberOfSubjects"].append(metadata["assetsSummary"].get("numberOfSubjects", np.nan)) + data["numberOfFiles"].append(metadata["assetsSummary"].get("numberOfFiles", np.nan)) + data["has_related_pub"].append(cls.has_related_publication(metadata)) + + dandistats_df = pd.DataFrame.from_dict(data) + + # Clean up species + for key, val in cls.SPECIES_REPLACEMENT.items(): + dandistats_df["species"] = dandistats_df["species"].replace(key, val) + + if write_cache: + if print_status: + PrintHelper.print("SAVING DANDI NWB statistics to %s" % cache_filename, PrintHelper.BOLD) + dandistats_df.to_csv(cache_filename, sep="\t") + + return dandistats_df + + @staticmethod + def plot_species_histogram(dandistats_df: pd.DataFrame, + figure_path: str): + """ + Plot histogram of species distribution across NWB dandisets + + :param dandistats_df: Datafram with DANDI NWB stats computed by compute_dandi_nwb_stats + :param figure_path: Path where the figure should be saved + """ + fig, ax = plt.subplots(figsize=(3, 3)) + vals = dandistats_df["species"] + # Only show shorthand label. E.g. ,replace "Procambarus clarkii - Red swamp crayfish" with "Red swamp crayfish" + for name in dandistats_df["species"].value_counts().keys(): + if " - " in name: + vals = vals.replace(name, name.split(" - ")[1]) + + ax = vals.value_counts().plot.barh(figsize=(3, 3)) + ax.invert_yaxis() + ax.set_xlabel("# of NWB Dandisets") + ax.set_ylabel("Species") + plt.grid(True, which='both', axis='both', color='gray', linestyle='--', linewidth=0.75, zorder=0) + ax.yaxis.grid(False) + ax.figure.savefig( + figure_path, + bbox_inches="tight", + dpi=300, + transparent=True, + ) + + @staticmethod + def plot_modality_histogram(dandistats_df: pd.DataFrame, + figure_path: str): + """ + Plot histogram of modalities ecephys, ophys, icephys distribution across NWB dandisets + + :param dandistats_df: Datafram with DANDI NWB stats computed by compute_dandi_nwb_stats + :param figure_path: Path where the figure should be saved + """ + fig, ax = plt.subplots(figsize=(1, 3)) + dandistats_df[["ecephys", "ophys", "icephys"]].sum().plot.bar(ax=ax) + ax.set_xlabel("Modality") + ax.set_ylabel("# of NWB Dandisets") + plt.grid(True, which='both', axis='both', color='gray', linestyle='--', linewidth=0.75, zorder=0) + ax.xaxis.grid(False) + ax.figure.savefig( + figure_path, + bbox_inches="tight", + dpi=300, + transparent=True, + ) + + @staticmethod + def plot_dandiset_size_histogram(dandistats_df: pd.DataFrame, + figure_path: str): + """ + Plot histogram of data sizes across NWB dandisets + + :param dandistats_df: Datafram with DANDI NWB stats computed by compute_dandi_nwb_stats + :param figure_path: Path where the figure should be saved + """ + logsize = np.log10(dandistats_df["size"]) + fig, ax = plt.subplots(figsize=(3, 3)) + ax = logsize.plot.hist(bins=20, ax=ax) + ax.set_xticks([3, 6, 9, 12, 15]) + ax.set_xticklabels(["KB", "MB", "GB", "TB", "PB"]) + ax.set_xlabel("Total Dandiset size") + ax.set_ylabel("# of NWB Dandisets") + plt.grid(True, which='both', axis='both', color='gray', linestyle='--', linewidth=0.75, zorder=0) + ax.xaxis.grid(False) + ax.figure.savefig( + figure_path, + bbox_inches="tight", + dpi=300, + transparent=True, + ) + + @staticmethod + def plot_number_of_dandisets_by_date(dandistats_df: pd.DataFrame, + figure_path: str): + """ + Plot curve-plot of the number of DANDI NWB datasets over time + + :param dandistats_df: Datafram with DANDI NWB stats computed by compute_dandi_nwb_stats + :param figure_path: Path where the figure should be saved + """ + fig, ax = plt.subplots(figsize=(4, 3)) + + dates = dandistats_df['created'] + dates = mpl_dates.date2num(dates) + ax.plot(dates, + np.arange(len(dandistats_df)), + '-k.', + linewidth=0.5) + for label in ax.get_xticklabels(which='major'): + label.set(rotation=30, horizontalalignment='right') + ax.set_ylabel('# of NWB Dandisets') + ax.set_xlabel("Date created") + # Formatting the x-axis to show dates correctly + plt.gca().xaxis.set_major_locator(mpl_dates.DayLocator(interval=180)) + plt.gca().xaxis.set_major_formatter(mpl_dates.DateFormatter('%Y-%m-%d')) + # Rotate and format the date labels + plt.gcf().autofmt_xdate() + plt.grid(True, which='both', axis='both', color='gray', linestyle='--', linewidth=0.75, zorder=0) + ax.figure.savefig( + figure_path, + bbox_inches="tight", + dpi=300, + transparent=True) + + @staticmethod + def plot_size_of_dandisets_by_date(dandistats_df: pd.DataFrame, + figure_path: str): + """ + Plot curve-plot of the total size of DANDI NWB datasets over time + + :param dandistats_df: Datafram with DANDI NWB stats computed by compute_dandi_nwb_stats + :param figure_path: Path where the figure should be saved + """ + fig, ax = plt.subplots(figsize=(4, 3)) + order = np.argsort(dandistats_df['modified']) + dates = mpl_dates.date2num(dandistats_df['modified'][order]) + ax.plot(dates, + dandistats_df['size'][order].cumsum() / 10 ** 12, + '-k.', + linewidth=0.5) + for label in ax.get_xticklabels(which='major'): + label.set(rotation=30, horizontalalignment='right') + ax.set_xlabel("Date") + _ = ax.set_ylabel("TB of NWB on the archive") + # Formatting the x-axis to show dates correctly + plt.gca().xaxis.set_major_locator(mpl_dates.DayLocator(interval=180)) + plt.gca().xaxis.set_major_formatter(mpl_dates.DateFormatter('%Y-%m-%d')) + # Rotate and format the date labels + plt.gcf().autofmt_xdate() + plt.grid(True, which='both', axis='both', color='gray', linestyle='--', linewidth=0.75, zorder=0) + ax.figure.savefig( + figure_path, + bbox_inches="tight", + dpi=300, + transparent=True) + + @staticmethod + def plot_number_of_nwbfiles_by_date(dandistats_df: pd.DataFrame, + figure_path: str): + """ + Plot curve-plot of the total number of NWB files in DANDI datasets over time + + :param dandistats_df: Datafram with DANDI NWB stats computed by compute_dandi_nwb_stats + :param figure_path: Path where the figure should be saved + """ + fig, ax = plt.subplots(figsize=(4, 3)) + order = np.argsort(dandistats_df['modified']) + dates = mpl_dates.date2num(dandistats_df['modified'][order]) + ax.plot(dates, + dandistats_df['numberOfFiles'][order].cumsum(), + '-k.', + linewidth=0.5) + for label in ax.get_xticklabels(which='major'): + label.set(rotation=30, horizontalalignment='right') + ax.set_xlabel("Date") + _ = ax.set_ylabel("# NWB files on the archive") + # Formatting the x-axis to show dates correctly + plt.gca().xaxis.set_major_locator(mpl_dates.DayLocator(interval=180)) + plt.gca().xaxis.set_major_formatter(mpl_dates.DateFormatter('%Y-%m-%d')) + # Rotate and format the date labels + plt.gcf().autofmt_xdate() + plt.grid(True, which='both', axis='both', color='gray', linestyle='--', linewidth=0.75, zorder=0) + ax.figure.savefig( + figure_path, + bbox_inches="tight", + dpi=300, + transparent=True) + + @classmethod + def create_dandistats_pages(cls, + out_dir: str, + data_dir: str, + load_cached_results: bool = True, + cache_results: bool = True, + print_status: bool = True): + """ + Render all pages and figures related to the dandi nwb statistics + + :param out_dir: Directory where the RST and image files should be saved to + :param data_dir: Directory where the data for the code statistics should be cached + :param load_cached_results: Load code statists from data_dir if available + :param cache_results: Save code statistic results to data_dir + :param print_status: Print status of creation (Default=True) + """ + dandistats_df = cls.compute_dandi_nwb_stats(cache_dir=data_dir, + read_cache=load_cached_results, + write_cache=cache_results, + print_status=print_status) + dandistat_figures = [] + + # Render all the figures + if print_status: + PrintHelper.print("CREATING DANDI NWB figures and rst", PrintHelper.BOLD) + dandistats_rst = RSTDocument() + dandistats_rst.add_label("dandi-statistics") + dandistats_rst.add_section("DANDI: NWB Data Statistics") + dandistats_rst.add_subsection("NWB data on DANDI over time") + # Figure 1 + count_figpath = os.path.join(out_dir, 'nwb_dandiset_count_by_date.png') + cls.plot_number_of_dandisets_by_date(dandistats_df=dandistats_df, + figure_path=count_figpath) + dandistat_figures.append( + RSTFigure( + image_path=os.path.basename(count_figpath), + alt="Number of NWB dandisets over time", + width="100%") + ) + dandistats_rst.add_figure(figure=dandistat_figures[-1]) + # Figure 2 + sizebytime_figpath = os.path.join(out_dir, 'nwb_dandiset_size_by_date.png') + cls.plot_size_of_dandisets_by_date(dandistats_df=dandistats_df, + figure_path=sizebytime_figpath) + dandistat_figures.append( + RSTFigure( + image_path=os.path.basename(sizebytime_figpath), + alt="Size of NWB dandisets by date", + width="100%") + ) + dandistats_rst.add_figure(figure=dandistat_figures[-1]) + # Figure 3 + nwb_count_figpath = os.path.join(out_dir, 'nwb_dandiset_nwbcount_by_date.png') + cls.plot_number_of_nwbfiles_by_date(dandistats_df=dandistats_df, + figure_path=nwb_count_figpath) + dandistat_figures.append( + RSTFigure( + image_path=os.path.basename(nwb_count_figpath), + alt="Number of NWB files in dandisets over time", + width="100%") + ) + dandistats_rst.add_figure(figure=dandistat_figures[-1]) + # Figure 4 + dandistats_rst.add_subsection("Histograms of properties of NWB data on DANDI") + species_figpath = os.path.join(out_dir, 'nwb_dandiset_species_hist.png') + cls.plot_species_histogram(dandistats_df=dandistats_df, + figure_path=species_figpath) + dandistat_figures.append( + RSTFigure( + image_path=os.path.basename(species_figpath), + alt="Distribution of species in NWB dandisets", + width="100%") + ) + dandistats_rst.add_figure(figure=dandistat_figures[-1]) + # Figure 5 + modality_figpath = os.path.join(out_dir, 'nwb_dandiset_modality_hist.png') + cls.plot_modality_histogram(dandistats_df=dandistats_df, + figure_path=modality_figpath) + dandistat_figures.append( + RSTFigure( + image_path=os.path.basename(modality_figpath), + alt="NWB dandisets modality distribution", + width="50%") + ) + dandistats_rst.add_figure(figure=dandistat_figures[-1]) + # Figure 6 + size_figpath = os.path.join(out_dir, 'nwb_dandiset_size_hist.png') + cls.plot_dandiset_size_histogram(dandistats_df=dandistats_df, + figure_path=size_figpath) + dandistat_figures.append( + RSTFigure( + image_path=os.path.basename(size_figpath), + alt="NWB dandisets size distribution", + width="100%") + ) + dandistats_rst.add_figure(figure=dandistat_figures[-1]) + + # Save the RST file to disk + dandistats_rst.write(os.path.join(out_dir, "dandi_nwb_stats.rst"))