Normalize table (remove redundancy) - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/forum-7.html) +--- Forum: Data Science (https://python-forum.io/forum-44.html) +--- Thread: Normalize table (remove redundancy) (/thread-31545.html) |
Normalize table (remove redundancy) - CatorCanulis - Dec-17-2020 Hi everyone, I have a excel table like this: CODE | MATRIX | SAMPLING | FREQUENCY | PARAM XX123 | OG | spot | 14 | 99 XX123 | OG | spot | 14 | 50 XX123 | OG | spot | 14 | 1620 AB006 | OG | mix | 28 | 3 AB006 | OG | mix | 28 | 4005 Can I somehow normalize this data to a list of dictionaries like this?: [[ {'CODE': 'XX123', 'MATRIX': 'OG', 'SAMPLING':'spot', 'FREQUENCY':14, 'PARAM':[99, 50, 1620]}, {'CODE': 'AB006', 'MATRIX': 'OG', 'SAMPLING':'mix', 'FREQUENCY':28, 'PARAM':[3, 4005]} ]I tried googling this problem but didn't come across an exact match. Thanks in advance Markus RE: Normalize table (remove redundancy) - ibreeden - Dec-20-2020 Is it possible to change the layout of the dictionary so the key is comprised of ('CODE ', ' MATRIX ', ' SAMPLING ', ' FREQUENCY '). This would make it much simpler to build up the values of the last column. It would look like this:
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