为特定列值添加特定行数据

Question

Hi everyone, I'm new to python. When I find a specific value in the column comm_rate , I want to add the utility_name and zip to print out, like the example below. Any help will be highly appreciated.

Here is the link for the CSV file :

The highest rate is: Napakiak Ircinraq Power Co (99634, AK) - $0.839779005525

Here is my code and CSV image attached:

import csv

def pronmpt_filename():
    filename = input("Please enter the data file: ")
    return filename

def comm_rate():
    commR_list = []
    with open(pronmpt_filename(), "r") as my_csv:
        reader = csv.DictReader(my_csv, delimiter=",")
        for row in reader:
            commR = row["comm_rate"]
            if commR != None and commR != "":
                commR_list.append(float(row["comm_rate"]))

    avg_commR = sum(commR_list) / len(commR_list)
    print("")
    print("The average commercial rate is: ", avg_commR)
    print("")
    print("The highest rate is: \n", max(commR_list))
    print("")
    print("The lowest rate is: \n", min(commR_list))

Answer 1

You can do it using python zip function. Here I show you the example (I will be using pandas to read the csv file, you can choose as per your requirement. But I will recommend pandas for this type of problems):

import pandas as pd
read_file = pd.read_csv("filename.csv")
zipped_result = [ (f, i) for f, i in zip(read_file["comm_rate"], read_file["utility_name"])]

for i,j in zipped_result:
    print(f"The highest rate is:  {j} -  {i}.")