Created
July 27, 2018 12:54
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MySQL query transpose and pivot
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
" year month value\n", | |
"0 2001 1 123\n", | |
"1 2002 2 234\n", | |
"2 2003 3 345\n" | |
] | |
} | |
], | |
"source": [ | |
"import pandas as pd\n", | |
"from sqlalchemy import create_engine\n", | |
"\n", | |
"dbconnection = create_engine(\"mysql://root:rockford@medec.ruby/test\")\n", | |
"matrix = pd.read_sql(\"SELECT * FROM matrix\", dbconnection)\n", | |
"print(matrix)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
" 0 1 2\n", | |
"year 2001 2002 2003\n", | |
"month 1 2 3\n", | |
"value 123 234 345\n" | |
] | |
} | |
], | |
"source": [ | |
"m = matrix.transpose()\n", | |
"print(m)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"month 1 2 3\n", | |
"year \n", | |
"2001 123.0 NaN NaN\n", | |
"2002 NaN 234.0 NaN\n", | |
"2003 NaN NaN 345.0\n" | |
] | |
} | |
], | |
"source": [ | |
"n = matrix.pivot(index=\"year\", columns=\"month\", values=\"value\")\n", | |
"print(n)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"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": "3.6.5" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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