我得到了一个原始 csv 文件,我的任务是读取它,添加一个新的平均值列,然后将更新后的数据写回另一个 csv 文件。
直到写入列表中的数据为止,一切都已成功。
"""Student Do: Sales Analysis.
This script will use the Pathlib library to set the file path,
use the csv library to read in the file, and iterate over each
row of the file to calculate customer sales averages.
"""
# @TODO: Import the pathlib and csv library
from pathlib import Path
import csv
# @TODO: Set the file path
csv_path = Path("Resources/sales.csv")
# Initialize list of records
records = []
# @TODO: Open the csv file as an object
with open (csv_path, 'r') as csv_file:
# @TODO:
# Pass in the csv file to the csv.reader() function
# (with ',' as the delmiter/separator) and return the csvreader object
csv_reader = csv.reader(csv_file, delimiter=',')
# @TODO: Read the header row
header = next(csv_reader)
# @TODO: Print the header
# @TODO: Append the column 'Average' to the header
header.append('Average')
print (header)
# @TODO: Append the header to the list of records
records.append(header)
# @TODO: Read each row of data after the header
for row in csv_reader:
# @TODO: Print the row
#print(row)
# @TODO:
# Set the 'name', 'count', 'revenue' variables for better
# readability, convert strings to ints for numerical calculations
name = row[0]
count = int(row[1])
revenue = int(row[2])
records.append(name)
records.append(count)
records.append(revenue)
# @TODO: Calculate the average (round to the nearest 2 decimal places)
average = round(revenue/count, 2)
# @TODO: Append the average to the row
row.append(average)
# @TODO: Append the row to the list of records
records.append(row[3])
print (row)
# @TODO: Set the path for the output.csv
csv_output_path = Path("output.csv")
# @TODO:
# Open the output path as a file and pass into the 'csv.writer()' function
# Set the delimiter/separater as a ','
with open (csv_output_path, 'w') as file:
csv_writer = csv.writer(file, delimiter=',')
# @TODO:
# Loop through the list of records and write every record to the
# output csv file
csv_writer.writerow(header)
for row in records:
csv_writer.writerow(records)
for data in records:
print (data)
输出文件全错了,header在name部分,name在count部分,count在revenue,其他都在average部分
答案 0 :(得分:1)
用 csv_writer.writerow(row) 替换 csv_writer.writerow(records)