Created
May 17, 2022 16:57
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IPythonJI - Emoji for IPython
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "779a5d6f", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%pip install emoji" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "3bf0d6c2", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import ast\n", | |
"import emoji\n", | |
"\n", | |
"DELIMITERS = (\"__pythonji_\", \"__\")\n", | |
"\n", | |
"def demoji_raw_source(lines):\n", | |
" demojized_lines = []\n", | |
" for line in lines:\n", | |
" demojized_lines.append(emoji.demojize(line, delimiters=DELIMITERS))\n", | |
" return demojized_lines\n", | |
"\n", | |
"class EmojiNodeTransformer(ast.NodeTransformer):\n", | |
" def visit_Str(self, node):\n", | |
" return ast.copy_location(\n", | |
" ast.Str(s=emoji.emojize(node.s, delimiters=DELIMITERS)), node\n", | |
" )\n", | |
"\n", | |
"ip = get_ipython()\n", | |
"ip.input_transformers_post = [demoji_raw_source]\n", | |
"ip.ast_transformers = [EmojiNodeTransformer()]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "8f12773f", | |
"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>animal</th>\n", | |
" <th>scale</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>π¦</td>\n", | |
" <td>0.841312</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>πͺ²</td>\n", | |
" <td>0.264566</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>πͺ²</td>\n", | |
" <td>0.655013</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>π¦</td>\n", | |
" <td>0.458347</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>πͺ²</td>\n", | |
" <td>0.539141</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>5</th>\n", | |
" <td>π¦</td>\n", | |
" <td>0.791464</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>6</th>\n", | |
" <td>πͺ²</td>\n", | |
" <td>0.086120</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>7</th>\n", | |
" <td>π¦</td>\n", | |
" <td>0.048357</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>8</th>\n", | |
" <td>πͺ²</td>\n", | |
" <td>0.104178</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>9</th>\n", | |
" <td>π¦</td>\n", | |
" <td>0.125664</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" animal scale\n", | |
"0 π¦ 0.841312\n", | |
"1 πͺ² 0.264566\n", | |
"2 πͺ² 0.655013\n", | |
"3 π¦ 0.458347\n", | |
"4 πͺ² 0.539141\n", | |
"5 π¦ 0.791464\n", | |
"6 πͺ² 0.086120\n", | |
"7 π¦ 0.048357\n", | |
"8 πͺ² 0.104178\n", | |
"9 π¦ 0.125664" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"import pandas as πΌ\n", | |
"import random as π\n", | |
"\n", | |
"π = πΌ.DataFrame([{'animal': π.choice(['π¦', 'πͺ²', 'π¦']), 'scale': π.random()} for _ in range(10)])\n", | |
"π" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "ed587c39", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"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": "3.9.7" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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