# Indexing Jupyter Notebooks

**URL:** <https://discuss.elastic.co/t/indexing-jupyter-notebooks/194639>\
**Category:** Elasticsearch\
**Created:** [August 9, 2019, 2:54pm UTC](https://discuss.elastic.co/t/indexing-jupyter-notebooks/194639 "2019-08-09T14:54:10Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![venkateshreddypala](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/venkateshreddypala/32/52035_2.png) [@venkateshreddypala](https://discuss.elastic.co/u/venkateshreddypala)\
**Post date:** [August 9, 2019, 2:54pm UTC](https://discuss.elastic.co/t/indexing-jupyter-notebooks/194639/1 "2019-08-09T14:54:10Z")

</div>

I am trying to index, jupyter notebooks in raw format. Jupyter notebooks are pretty much the new line delimited JSON. I need help in ignoring some of the fields which only indicates the type of markdown.

```
PUT _template/ispel

```

{  
"aliases" : {  
"my\_alias" : {}  
},  
"mappings" : {  
"cells" : {  
"properties" : {  
"source" : {  
"ignore\_above" : 256  
}  
}  
}  
},  
"settings" :{  
"number\_of\_shards" : 1,  
"number\_of\_replicas" :2  
}  
}

This is my code for indexing and below is a sample for ndjson  
{  
"cells": [  
{  
"cell\_type": "markdown",  
"metadata": {},  
"source": [  
"[//]: # (Long-Title: Subsets; Universal Sets, Proper Subsets, Improper Subsets, and Set Equality)\n",  
"\n",  
"[//]: # (Short-Title: Subsets)\n",  
"\n",  
"[//]: # (Keyword: Subsets)\n",  
"\n",  
"[//]: # (Keyword: Subsets of Universal Set)\n",  
"\n",  
"[//]: # (Keyword: Proper Subsets)\n",  
"\n",  
"[//]: # (Keyword: Strict Subsets)\n",  
"\n",  
"[//]: # (Keyword: Improper Subsets)\n",  
"\n",  
"[//]: # (Keyword: Set Equality)\n",  
"\n",  
"[//]: # (Keyword: Subset notation)"  
]  
},  
{  
"cell\_type": "markdown",  
"metadata": {},  
"source": [  
"# Subsets\n",  
"\n",  
"Consider the following two sets:\n",  
"\n",  
"Alphabet={a,b,c,.....z};vowels={a,e,i,o,u}\n",  
"\n",  
"The set vowels contains a subset of the elements of the set Alphabet.\n",  
"\n",  
"vowels is a subset of Alphabet since all the elements of vowels are also in Alphabet.\n",  
"\n",  
"The mathematical notation for indicating that Vowels in a subset of Alphabet is: \n",  
"\n",  
"Vowels \\subset Alphabet\n",  
"\n",  
"Example:\n",  
"\n",  
"D is the set of decimal digits; D={0,1,2,3,4,5,6,7,8,9}\n",  
"\n",  
"B is the set of binary digits ; B={0,1}\n",  
"\n",  
"Since all the elements in B are also in D, B is a subset of D B$\subset$D\n",  
"\n",  
"Example:\n",  
"\n",  
"H is the set of hexadecimal digits.\n",  
"\n",  
"H={,1,2,...9,A,B,C,D,E,F}\n",  
"\n",  
"O is the set of Octal digits\n",  
"\n",  
"O={0,1,2,3,4,5,6,7}\n",  
"\n",  
"Is H$\subset$O?\n",  
"\n",  
"Since not all elements of H are in O, H is not a subset of O. The corresponding mathematical notation is\n",  
"\n",  
"H$\not\subset$ O\n",  
"\n",  
"On the other hand,O is a subset of H:\n",  
"\n",  
"O$\subset$H\n",  
"\n",  
"The relational operator \\subset indicates proper subset strict subset relationship.\n",  
"\n",  
"When we write O$\subset$H, it means that O is contained in H, but O is not equal to H.\n",  
"\n",  
"On the other hand, when we write A$\subseteq$B, it means that A is a subset of B but may also be equal to B.\n",  
"\n",  
"Example \n",  
"\n",  
"Let A={1,2,3,4}. Since all the elements in A are also in B. It is also true that B$\subseteq$A.\n",  
"\n",  
"The \\subseteq notation gives us a way to define set equality.\n",  
"\n",  
"Two sets A and B are equal if all the elements of A are in B, and all elements of B are also in A.\n",  
"\n",  
"In other words, A=B since A$\subseteq$B and B$\subseteq$A.\n",  
"\n",  
"\n"  
]  
},  
{  
"cell\_type": "code",  
"execution\_count": null,  
"metadata": {},  
"outputs": ,  
"source":   
}  
],  
"metadata": {  
"celltoolbar": "Edit Metadata",  
"kernelspec": {  
"display\_name": "Python 3",  
"language": "python",  
"name": "python3"  
},  
"language\_info": {  
"codemirror\_mode": {  
"name": "ipython",  
"version": 3  
},  
"file\_extension": ".py",  
"mimetype": "text/x-python",  
"name": "python",  
"nbconvert\_exporter": "python",  
"pygments\_lexer": "ipython3",  
"version": "3.7.3"  
}  
},  
"nbformat": 4,  
"nbformat\_minor": 2  
}

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [September 6, 2019, 2:54pm UTC](https://discuss.elastic.co/t/indexing-jupyter-notebooks/194639/2 "2019-09-06T14:54:12Z")

</div>

Closed on September 6, 2019, 2:54pm UTC

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