How to hide one specific cell (input or output) in IPython Notebook?

Question

Is there a way to selectively hide one specific input or output cell in IPython notebook?

I could only find the below code to show / hide all input cells.

http://blog.nextgenetics.net/?e=102

But what if I only want to hide the first input cell of a notebook?

Answer 1

This is now built into nbconvert (as of 5.3.0) using tags.

Here's an example removing a specific cell from the output, using this notebook, which is also included at the end of this post. The example has three cells: a markdown cell, a code cell that will be hidden, and a code cell that will not be hidden.

1. Add the remove_cell tag to any cells you want to hide using the tag editor built into the notebook or JupyterLab (the specific name "remove_cell" doesn't matter)
2. Convert with nbconvert

jupyter nbconvert nbconvert-example.ipynb --TagRemovePreprocessor.remove_cell_tags='{"remove_cell"}'

Any cells with the tag remove_cell will be removed from the output.

In addition to entire cells, you can filter just inputs or just outputs:

• TagRemovePreprocessor.remove_input_tags
• TagRemovePreprocessor.remove_single_output_tags
• TagRemovePreprocessor.remove_all_outputs_tags

Here's the full source for the notebook used in this example:

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's an example of how to hide cells with nbconvert."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "# This cell is hidden\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A\n",
       "0  1\n",
       "1  2"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({\"A\": [1, 2]})"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "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": "3.6.1"
  }
 },