根据云数据流 Python SDK 中的列值拆分 CSV 文件的步骤如下:
import csv
from qcloud_cos import CosS3Client
secret_id = 'your-secret-id'
secret_key = 'your-secret-key'
region = 'your-region'
bucket = 'your-bucket'
cos_client = CosS3Client(secret_id, secret_key, region)
def split_csv_file(file_key, column_name):
# 下载 CSV 文件
local_file_path = '/path/to/local/file.csv'
cos_client.download_file(bucket, file_key, local_file_path)
# 按列值拆分 CSV 文件
with open(local_file_path, 'r') as input_file:
csv_reader = csv.DictReader(input_file)
csv_data = {}
for row in csv_reader:
column_value = row[column_name]
if column_value in csv_data:
csv_data[column_value].append(row)
else:
csv_data[column_value] = [row]
# 保存拆分后的 CSV 文件
for column_value, rows in csv_data.items():
output_file_path = f'/path/to/output/{column_value}.csv'
with open(output_file_path, 'w') as output_file:
csv_writer = csv.DictWriter(output_file, fieldnames=csv_reader.fieldnames)
csv_writer.writeheader()
csv_writer.writerows(rows)
# 上传拆分后的 CSV 文件到 COS
cos_client.upload_file(bucket, output_file_path, f'output/{column_value}.csv')
file_key = 'your-csv-file-key.csv'
column_name = 'your-column-name'
split_csv_file(file_key, column_name)
注意:以上代码仅供参考,需要根据实际情况进行修改和调整。具体的文件路径、密钥信息、列名等需要根据实际需求进行配置。
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