Reading excel table into dataframe and spliting values into lists

Question

I have an excel file containing some columns and, in each column some values to be searched into a database.

I want to read this file (I am using pandas because its a very simple way to read excel files) and extract info into variables:

Desired extract information of each row
Company : Ebay (STR format)
company_name_for_search : [EBAY, eBay, Ebay] (list of strings)
company_register: [4722,4721] (list os ints)

Getting this info, I will run a search script. Some info must be lists because the script will do e search for every item inside the list (for loop).

When I read the excel file, each column is read as a object type in a dataframe, so I couldn’t access each value inside such object.

How to split values, change formats and deal with that?

Asked By: FábioRB

||

Source

Answer 1

Your variables are represented as single strings rather than rows of strings and numbers.

Instead of:

company_name	register
eBay	4722
eBay	4721
Amazon	9999

You have:

company_name	register
ebay,ebay	4722,4721
amazon	9999

You can split each string and then explode the resulting Series containing arrays to get a long form DataFrame.

import pandas as pd

mess = pd.DataFrame(
    {
        "letters": ["A,B", "C,D", "E,F,G,H"],
        "nums": ["100,200", "300,400", "500, 600, 700, 800"],
    }
)

mess = mess.apply(lambda col: col.str.split(",").explode())

Answered By: Joshua Megnauth

Reading excel table into dataframe and spliting values into lists

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