数据分析之Python对数据分组排序

原数据样例：

最后的结果：

1、读取csv文件数据

input_csv_file = 'data.csv'
output_csv_file = 'sorted_data_with_qualifications.csv'

# 读取CSV文件并处理数据
with open(input_csv_file, newline='', encoding='utf-8') as csvfile:
    reader = csv.reader(csvfile)
    header = next(reader)  # 跳过表头

2、对数据中的某一个字段进行分组排序

原数据中第二列中是按照、分隔的。

sorted_data = []
    for row in reader:
        person = row[0]
        qualifications = row[1].split('、')  # 按顿号分割资质能力

        sorted_qualifications = sorted(qualifications)  # 对资质能力进行排序

        for idx, qualification in enumerate(sorted_qualifications,start=1):

            sorted_data.append([person, qualification, idx, row[2]])  # 添加序号和组别

3、结果保存到csv文件中

# 将处理后的数据写入新的CSV文件
with open(output_csv_file, 'w', newline='', encoding='utf-8') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(['','',''])  # 写入新表头
    for row in sorted_data:
        writer.writerow(row)  # 写入每行数据

完整代码

import csv

# 假设CSV文件名为"data.csv"，我们将结果保存到"sorted_data_with_qualifications.csv"
input_csv_file = 'data.csv'
output_csv_file = 'sorted_data_with_qualifications.csv'

# 读取CSV文件并处理数据
with open(input_csv_file, newline='', encoding='utf-8') as csvfile:
    reader = csv.reader(csvfile)
    header = next(reader)  # 跳过表头

    sorted_data = []
    for row in reader:
        person = row[0]
        qualifications = row[1].split('、')  # 按顿号分割资质能力

        sorted_qualifications = sorted(qualifications)  # 对资质能力进行排序

        for idx, qualification in enumerate(sorted_qualifications,start=1):

            sorted_data.append([person,row[1], qualification, idx, row[2]])  # 添加序号和组别

# 将处理后的数据写入新的CSV文件
with open(output_csv_file, 'w', newline='', encoding='utf-8') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(['','',''])  # 写入新表头
    for row in sorted_data:
        writer.writerow(row)  # 写入每行数据

print(f"Sorted data with qualifications has been written to {output_csv_file}")