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asmirnov69asmirnov69
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added nb utils get_cell_id and register_pre_run to handle nb cell pyjviz case
1 parent a03c3c2 commit 022f269

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-50
lines changed

4 files changed

+165
-50
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‎examples/notebooks/why-janitor.ipynb‎

Lines changed: 106 additions & 47 deletions
Original file line numberDiff line numberDiff line change
@@ -10,10 +10,13 @@
1010
"name": "stdout",
1111
"output_type": "stream",
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"text": [
13+
"register_pre_run\n",
14+
"pre_run_cell: This function will be called before every cell is executed.\n",
15+
"cell_id: 80990326-1ef0-4588-8e28-0f377bd4b5bd\n",
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"call dropna\n",
14-
"my rename 140465675825360\n",
17+
"my rename 140163077598768\n",
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"new copy: () {'deep': None}\n",
16-
"my rename 140465675826032\n",
19+
"my rename 140163077599296\n",
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"new copy: () {'deep': None}\n",
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"new copy: () {}\n"
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]
@@ -34,17 +37,17 @@
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" <polygon fill=\"white\" points=\"-4,4 -4,-113 1995,-113 1995,4 -4,4\" stroke=\"transparent\"/>\n",
3538
" <g class=\"cluster\" id=\"clust1\">\n",
3639
" <title>\n",
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3841
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4043
" <text font-family=\"Helvetica,Arial,sans-serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"995.5\" y=\"-85.8\">\n",
4144
" WHY JANITOR?\n",
4245
" </text>\n",
4346
" </g>\n",
44-
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5053
" &lt;thead&gt;\n",
@@ -105,31 +108,31 @@
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" </text>\n",
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" </g>\n",
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" </g>\n",
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114117
" <text font-family=\"Helvetica,Arial,sans-serif\" font-size=\"14.00\" text-anchor=\"start\" x=\"209\" y=\"-38.8\">\n",
115118
" remove_columns(df, ...)\n",
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" </text>\n",
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" </g>\n",
118-
" <!-- node_7350196740953114244&#45;&gt;node_d8297656796017466239 -->\n",
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122125
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125128
" <text font-family=\"Helvetica,Arial,sans-serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"173\" y=\"-46.8\">\n",
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" df\n",
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" </text>\n",
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" </g>\n",
129-
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" &lt;thead&gt;\n",
@@ -185,31 +188,31 @@
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" </text>\n",
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" </g>\n",
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" </g>\n",
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" <!-- node_3009124502050678936 -->\n",
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195198
" dropna(df, ...)\n",
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" </text>\n",
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" </g>\n",
198-
" <!-- node_6080578892279087024&#45;&gt;node_3009124502050678936 -->\n",
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205208
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" df\n",
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209-
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212+
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" &lt;thead&gt;\n",
@@ -259,31 +262,31 @@
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" </text>\n",
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" </g>\n",
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" rename_column(df, ...)\n",
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" </text>\n",
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" </g>\n",
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" <!-- node_d8893236431485775077&#45;&gt;node_d2412246820646920085 -->\n",
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" df\n",
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" </text>\n",
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" &lt;thead&gt;\n",
@@ -333,31 +336,31 @@
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" </text>\n",
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" </g>\n",
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336-
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342345
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" rename_column(df, ...)\n",
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" </text>\n",
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" </g>\n",
346-
" <!-- node_d2694599867417863562&#45;&gt;node_2452196101976357619 -->\n",
349+
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349-
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352+
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350353
" </title>\n",
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352355
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" <text font-family=\"Helvetica,Arial,sans-serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"1263\" y=\"-46.8\">\n",
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" df\n",
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" </text>\n",
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" </g>\n",
357-
" <!-- node_d7379048532167015300 -->\n",
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" &lt;thead&gt;\n",
@@ -407,31 +410,31 @@
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" </text>\n",
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" </g>\n",
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" </g>\n",
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" <!-- node_d124244031066527821 -->\n",
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414417
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416419
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" add_column(df, ...)\n",
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" </text>\n",
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" </g>\n",
420-
" <!-- node_d7379048532167015300&#45;&gt;node_d124244031066527821 -->\n",
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" <text font-family=\"Helvetica,Arial,sans-serif\" font-size=\"14.00\" text-anchor=\"middle\" x=\"1643\" y=\"-46.8\">\n",
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" df\n",
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" </text>\n",
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@@ -485,42 +488,42 @@
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" </text>\n",
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" </g>\n",
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" </g>\n",
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" <!-- node_d8297656796017466239&#45;&gt;node_6080578892279087024 -->\n",
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496-
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" <g class=\"edge\" id=\"edge4\">\n",
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499-
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502+
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501504
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502505
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503506
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504-
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507+
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507-
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510+
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508511
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511514
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512-
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515+
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515-
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518+
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516519
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517520
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519522
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520-
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523-
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526+
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524527
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525528
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@@ -534,6 +537,13 @@
534537
},
535538
"metadata": {},
536539
"output_type": "display_data"
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},
541+
{
542+
"name": "stdout",
543+
"output_type": "stream",
544+
"text": [
545+
"80990326-1ef0-4588-8e28-0f377bd4b5bd\n"
546+
]
537547
}
538548
],
539549
"source": [
@@ -560,14 +570,63 @@
560570
" .add_column(\"Google\", [450.0, 550.0, 800.0])\n",
561571
" )\n",
562572
"\n",
563-
"pyjviz.show(vertical=False)\n"
573+
"pyjviz.show(vertical=False)\n",
574+
"print(pyjviz.nb_utils.get_cell_id())"
564575
]
565576
},
566577
{
567578
"cell_type": "code",
568-
"execution_count": null,
579+
"execution_count": 2,
569580
"id": "db8f1e76-5296-4c61-aed9-f22d5f3a6ccf",
570581
"metadata": {},
582+
"outputs": [
583+
{
584+
"name": "stdout",
585+
"output_type": "stream",
586+
"text": [
587+
"pre_run_cell: This function will be called before every cell is executed.\n",
588+
"cell_id: db8f1e76-5296-4c61-aed9-f22d5f3a6ccf\n"
589+
]
590+
},
591+
{
592+
"data": {
593+
"text/plain": [
594+
"'db8f1e76-5296-4c61-aed9-f22d5f3a6ccf'"
595+
]
596+
},
597+
"execution_count": 2,
598+
"metadata": {},
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"output_type": "execute_result"
600+
}
601+
],
602+
"source": [
603+
"pyjviz.nb_utils.get_cell_id()"
604+
]
605+
},
606+
{
607+
"cell_type": "code",
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"execution_count": 6,
609+
"id": "7e2a1879-97b8-41e5-a493-96a64d07188b",
610+
"metadata": {},
611+
"outputs": [
612+
{
613+
"name": "stdout",
614+
"output_type": "stream",
615+
"text": [
616+
"pre_run_cell: This function will be called before every cell is executed.\n",
617+
"hi 7e2a1879-97b8-41e5-a493-96a64d07188b\n"
618+
]
619+
}
620+
],
621+
"source": [
622+
"print('hi', pyjviz.nb_utils.get_cell_id())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d06bd090-f942-4cf0-9ed6-a9d756a5b973",
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"metadata": {},
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"outputs": [],
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"source": []
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}

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