Key error when selecting columns in pandas dataframe after read_csv

use sep='\s*,\s*' so that you will take care of spaces in column-names:

transactions = pd.read_csv('transactions.csv', sep=r'\s*,\s*',
                           header=0, encoding='ascii', engine="python")

alternatively you can make sure that you don’t have unquoted spaces in your CSV file and use your command (unchanged)

prove:

print(transactions.columns.tolist())

Output:

['product_id', 'customer_id', 'store_id', 'promotion_id', 'month_of_year', 'quarter', 'the_year', 'store_sales', 'store_cost', 'unit_sales', 'fact_count']

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