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February 8, 2023 14:11
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Example of using SQL over pandas dataframes
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"# %pip install jupysql duckdb duckdb-engine --quiet" | |
] | |
}, | |
{ | |
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"id": "f4190914-bd93-4097-8b6f-d6b32c4f369c", | |
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"source": [ | |
"import pandas as pd\n", | |
"%load_ext sql\n", | |
"%sql duckdb://" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "1c439d3a-ab9c-46c0-9bae-2e534f27f6ff", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [], | |
"source": [ | |
"df1 = pd.DataFrame.from_dict({'a': [42, 34, 66], \n", | |
" 'b': ['ball', 'bag', 'bummer'],\n", | |
" 'c': ['cack', 'cook', 'creek']})\n", | |
"\n", | |
"df2 = pd.DataFrame.from_dict({'a': [42, 34], \n", | |
" 'b': ['blag', 'bleary'],\n", | |
" 'd': ['doggy', 'ditto']})" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "6f739a14-01af-4e03-909b-783fa81b1393", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
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"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"* duckdb://\n", | |
"Done.\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<table>\n", | |
" <tr>\n", | |
" <th>a</th>\n", | |
" <th>b</th>\n", | |
" <th>c</th>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>42</td>\n", | |
" <td>ball</td>\n", | |
" <td>cack</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>34</td>\n", | |
" <td>bag</td>\n", | |
" <td>cook</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>66</td>\n", | |
" <td>bummer</td>\n", | |
" <td>creek</td>\n", | |
" </tr>\n", | |
"</table>" | |
], | |
"text/plain": [ | |
"[(42, 'ball', 'cack'), (34, 'bag', 'cook'), (66, 'bummer', 'creek')]" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"%sql select * from df1" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "dadf42ca-2c93-4215-892e-a18aedd5bc5e", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"* duckdb://\n", | |
"Done.\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<table>\n", | |
" <tr>\n", | |
" <th>a</th>\n", | |
" <th>b</th>\n", | |
" <th>c</th>\n", | |
" <th>a_1</th>\n", | |
" <th>b_1</th>\n", | |
" <th>d</th>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>42</td>\n", | |
" <td>ball</td>\n", | |
" <td>cack</td>\n", | |
" <td>42</td>\n", | |
" <td>blag</td>\n", | |
" <td>doggy</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>34</td>\n", | |
" <td>bag</td>\n", | |
" <td>cook</td>\n", | |
" <td>34</td>\n", | |
" <td>bleary</td>\n", | |
" <td>ditto</td>\n", | |
" </tr>\n", | |
"</table>" | |
], | |
"text/plain": [ | |
"[(42, 'ball', 'cack', 42, 'blag', 'doggy'),\n", | |
" (34, 'bag', 'cook', 34, 'bleary', 'ditto')]" | |
] | |
}, | |
"execution_count": 5, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"%sql select * from df1, df2 where df1.a = df2.a" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "28d2eeb4-0191-479e-ba53-a74050f08328", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"* duckdb://\n", | |
"Done.\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<table>\n", | |
" <tr>\n", | |
" <th>a</th>\n", | |
" <th>b</th>\n", | |
" <th>c</th>\n", | |
" <th>a_1</th>\n", | |
" <th>b_1</th>\n", | |
" <th>d</th>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>42</td>\n", | |
" <td>ball</td>\n", | |
" <td>cack</td>\n", | |
" <td>42</td>\n", | |
" <td>blag</td>\n", | |
" <td>doggy</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>34</td>\n", | |
" <td>bag</td>\n", | |
" <td>cook</td>\n", | |
" <td>34</td>\n", | |
" <td>bleary</td>\n", | |
" <td>ditto</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td>66</td>\n", | |
" <td>bummer</td>\n", | |
" <td>creek</td>\n", | |
" <td>None</td>\n", | |
" <td>None</td>\n", | |
" <td>None</td>\n", | |
" </tr>\n", | |
"</table>" | |
], | |
"text/plain": [ | |
"[(42, 'ball', 'cack', 42, 'blag', 'doggy'),\n", | |
" (34, 'bag', 'cook', 34, 'bleary', 'ditto'),\n", | |
" (66, 'bummer', 'creek', None, None, None)]" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"%sql select * from df1 left join df2 on df1.a = df2.a" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
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"name": "python", | |
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