"object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<div class=\"lasso_control\">\n\n<button type=\"button\" class=\"btn btn-info\" style=\"font-size:larger; color: #ffffff; font-weight: bold;\" onclick=\"run_lasso()\">RUN</button>\n\n<button type=\"button\" class=\"btn btn-default\" style=\"font-size:larger;\" onclick=\"reset_lasso()\">Reset</button>\n\n<label title=\"This button becomes active when the\nrun is finished. By clicking it, an interactive plot of the first 2\ndimensions of the optimized descriptor will be opened\"> \n<a href=\"/user/tmp/a74b7d2f6d0952af.html\" target=\"_blank\" class=\"btn btn-primary active\" style=\"font-size:larger;\" id=\"lasso_result_button\">View interactive 2D scatter plot</a> </label>\n </div>"
"object": "<script>\nvar beaker = bkHelper.getBeakerObject().beakerObj;\n</script>\n<div class=\"lasso_control\">\n\n<button type=\"button\" class=\"btn btn-info\" style=\"font-size:larger; color: #ffffff; font-weight: bold;\" onclick=\"run_lasso()\">RUN</button>\n\n<button type=\"button\" class=\"btn btn-default\" style=\"font-size:larger;\" onclick=\"reset_lasso()\">Reset</button>\n\n<label title=\"This button becomes active when the\nrun is finished. By clicking it, an interactive plot of the first 2\ndimensions of the optimized descriptor will be opened\"> \n<a href=\"/user/tmp/a74b7d2f6d0952af.html\" target=\"_blank\" class=\"btn btn-primary disabled\" style=\"font-size:larger;\" id=\"lasso_result_button\">View interactive 2D scatter plot</a> </label>\n </div>"
"print \"INFO: Number of samples in overlap region: %s\" %overlap"
],
...
...
@@ -1105,12 +1103,15 @@
},
"output": {
"state": {},
"selectedType": "Results",
"selectedType": "BeakerDisplay",
"pluginName": "IPython",
"shellId": "8CE349A8F6AB447C8CAA5B71C70F7177"
"shellId": "CE552833FBAD408FB7F3D612A07C5623",
"height": 155,
"elapsedTime": 7419
},
"evaluatorReader": true,
"lineCount": 2
"lineCount": 5,
"tags": "calc_cell"
},
{
"id": "code6Zind4",
...
...
@@ -1131,7 +1132,8 @@
"print ",
"# parameters for the nomad viewer",
"target_list = list(P)",
"chemical_formula_list = chemical_formula_list = [\"%s (%s structure)\" % (df['compound'].tolist()[i], df['structure'].tolist()[i]) for i in range(len(target_list))]",