csv_parser_python

A quick python script to parse csv file to perform data manipulation on the parsed data

We have a csv file that looks like this

Id,Vendor,Product Name,Product Code,Unit,Weight,Price
1,Vendor1,Coriander Leaves (April-Nov),3736,Kg,3,90
2,Vendor1,Mint Leaves 500 Gm,4371,Grams,500,27.5
3,Vendor1,Ginger 500 Gm,4356,Grams,500,29.5
4,Vendor1,Lemon 500 Gm,4365,Grams,500,32.5
5,Vendor2,Coriander Leaves (April-Nov),3736,Kg,3,80
6,Vendor2,Mint Leaves 500 Gm,4371,Grams,500,27.5
7,Vendor2,Ginger 500 Gm,4356,Grams,500,30
8,Vendor2,Lemon 500 Gm,4365,Grams,500,31
9,Vendor3,Coriander Leaves (April-Nov),3736,Kg,3,88
10,Vendor3,Mint Leaves 500 Gm,4371,Grams,500,27.3
11,Vendor3,Ginger 500 Gm,4356,Grams,500,29.7
12,Vendor3,Lemon 500 Gm,4365,Grams,500,34.5
..
..
..

i.e., product list from multiple vendors and their price offerrings

Unfortunately, the file is consolidated and we need a better way to extract useful information.

We would like to be able to generate a product list based on:

- cheapest prices
- expensive prices
- get cheapest price list only for given product IDs [3736, 4356, 3732, 3746, 3759, 3719, 3740, 4341]

For example, for cheapest prices, we would get a list like:

    3,Vendor1,Ginger 500 Gm,4356,Grams,500,29.5
    5,Vendor2,Coriander Leaves (April-Nov),3736,Kg,3,80
    8,Vendor2,Lemon 500 Gm,4365,Grams,500,31
    10,Vendor3,Mint Leaves 500 Gm,4371,Grams,500,27.3

Usage

>>> python products.py