|
16 | 16 | }, |
17 | 17 | { |
18 | 18 | "cell_type": "code", |
19 | | - "execution_count": 22, |
| 19 | + "execution_count": 1, |
20 | 20 | "id": "540c82888ebb6bff", |
21 | 21 | "metadata": {}, |
22 | 22 | "outputs": [], |
|
51 | 51 | }, |
52 | 52 | "outputs": [], |
53 | 53 | "source": [ |
54 | | - "process_graph_url = \"https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/refs/heads/hv_notebook_fix/algorithm_catalog/vito/eurac_pv_farm_detection/openeo_udp/eurac_pv_farm_detection.json\"\n", |
| 54 | + "process_graph_url = \"https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/refs/heads/main/algorithm_catalog/vito/eurac_pv_farm_detection/openeo_udp/eurac_pv_farm_detection.json\"\n", |
55 | 55 | "process_id = \"eurac_pv_farm_detection\"" |
56 | 56 | ] |
57 | 57 | }, |
|
116 | 116 | }, |
117 | 117 | { |
118 | 118 | "cell_type": "code", |
119 | | - "execution_count": 15, |
| 119 | + "execution_count": 4, |
120 | 120 | "id": "927eaf44", |
121 | 121 | "metadata": {}, |
122 | 122 | "outputs": [], |
|
158 | 158 | "text": [ |
159 | 159 | "Authenticated using refresh token.\n" |
160 | 160 | ] |
161 | | - }, |
162 | | - { |
163 | | - "data": { |
164 | | - "text/plain": [ |
165 | | - "defaultdict(int,\n", |
166 | | - " {'job_db persist': 16,\n", |
167 | | - " 'track_statuses': 7,\n", |
168 | | - " 'job_db get_by_status': 1,\n", |
169 | | - " 'start_job call': 9,\n", |
170 | | - " 'job get status': 18,\n", |
171 | | - " 'job start': 9,\n", |
172 | | - " 'job launch': 9,\n", |
173 | | - " 'run_jobs loop': 7,\n", |
174 | | - " 'sleep': 7,\n", |
175 | | - " 'job describe': 30,\n", |
176 | | - " 'job finished': 9,\n", |
177 | | - " 'job started running': 7})" |
178 | | - ] |
179 | | - }, |
180 | | - "execution_count": 16, |
181 | | - "metadata": {}, |
182 | | - "output_type": "execute_result" |
183 | 161 | } |
184 | 162 | ], |
185 | 163 | "source": [ |
|
462 | 440 | }, |
463 | 441 | { |
464 | 442 | "cell_type": "code", |
465 | | - "execution_count": 23, |
| 443 | + "execution_count": null, |
466 | 444 | "id": "e3bfca66", |
467 | 445 | "metadata": {}, |
468 | 446 | "outputs": [ |
|
503 | 481 | " # Labels and title\n", |
504 | 482 | " plt.xlabel('Temporal Extent (Months)')\n", |
505 | 483 | " plt.ylabel('Spatial Extent (Square km)')\n", |
506 | | - " plt.title('Job Cost vs. Temporal and Spatial Extent for the used memory settings')\n", |
| 484 | + " plt.title('Job Cost vs. Temporal and Spatial Extent for the used job settings')\n", |
507 | 485 | " plt.show()\n", |
508 | 486 | "\n", |
509 | 487 | "# Example usage (assuming df is your DataFrame)\n", |
|
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