Python script that will allow you to add multiple photography prints in a CSV file and will output another CSV file with the price of each photography print.

input.csv

notes.md

The script will read the input values from input.csv to calculate the print price and write the results to the output.csv file with an additional 'Print Price' column.

Here is an example of how the output.csv would look like:

Size,Edition,Reputation Factor,Production Cost,Framing Cost,Subject Value,Print Price
16,50,1.5,200,200,0,840.8
20,100,1.2,300,250,1.5,3150.0
24,25,1.8,350,300,-0.5,3187.5

selling-price-multiple-photography-prints-python.py

import csv

# Define the formula function
def calculate_print_price(size, edition, reputation_factor, production_cost, framing_cost, subject_value):
    type_factor = 1.0
    if size == 16:
        type_factor = 1.0
    elif size == 20:
        type_factor = 1.5
    elif size == 24:
        type_factor = 2.0
    else:
        print(f"Error: invalid size '{size}'")
        return None
    
    total_cost = production_cost + framing_cost
    subject_value_multiplier = 1.0 + (subject_value / 10)
    
    return round(type_factor * edition * reputation_factor * total_cost * subject_value_multiplier, 2)

# Define the input and output file paths
input_file_path = 'input.csv'
output_file_path = 'output.csv'

# Read the input CSV file
with open(input_file_path, mode='r') as csv_file:
    csv_reader = csv.DictReader(csv_file)
    input_rows = list(csv_reader)

# Calculate the print price for each row
for row in input_rows:
    size = int(row['Size'])
    edition = int(row['Edition'])
    reputation_factor = float(row['Reputation Factor'])
    production_cost = float(row['Production Cost'])
    framing_cost = float(row['Framing Cost'])
    subject_value = float(row['Subject Value'])
    
    print_price = calculate_print_price(size, edition, reputation_factor, production_cost, framing_cost, subject_value)
    if print_price is not None:
        row['Print Price'] = print_price

# Write the results to the output CSV file
with open(output_file_path, mode='w', newline='') as csv_file:
    field_names = input_rows[0].keys()
    csv_writer = csv.DictWriter(csv_file, fieldnames=field_names)
    csv_writer.writeheader()
    csv_writer.writerows(input_rows)

print(f"Results written to {output_file_path}")