我的CSV文件中从弹性搜索导出的可读列名称?

时间:2017-10-11 15:59:25

标签: python python-3.x csv elasticsearch python-3.6

下面是从弹性搜索中获取一些数据并将该数据导出到名为“mycsvfile”的csv文件的代码。 我想更改列名,以便人类可以读取。 以下是代码:

from elasticsearch import Elasticsearch
import csv

es = Elasticsearch(["9200"])

# Replace the following Query with your own Elastic Search Query
res = es.search(index="search", body=
                {
                    "_source": ["DTDT", "TRDT", "SPLE", "RPLE"],
                    "query": {
                        "bool": {
                            "should": [
                                {"wildcard": {"CN": "TEST1"}}

                            ]
                        }
                    }
}, size=10)



with open('mycsvfile.csv', 'w') as f:  # Just use 'w' mode in 3.x
    header_present  = False
    for doc in res['hits']['hits']:
        my_dict = doc['_source'] 
        if not header_present:
            w = csv.DictWriter(f, my_dict.keys())
            w.writeheader()
            header_present = True


        w.writerow(my_dict)

当我运行上述查询时,CSV文件数据如下所示:

DTDT    TRDT    SPLE    SACL    RPLE

20170512    12/05/2017 15:39    1001    0   0

20170512    12/05/2017 15:39    1001    0   0

20170908    08/09/2017 02:42    1001    0   0

20170908    08/09/2017 06:30    1001    0   0

正如您所看到的,列名与查询中的列名相同,我希望在生成文件时为它们提供可读的名称。例如,我想让DATE和TRDT成为TIME等而不是DTDT

有人可以显示并修复我的代码,让我在CSV文件中输入列名吗?

提前谢谢

2 个答案:

答案 0 :(得分:1)

编辑:对不起,写下我的背后的那一行。正确的,经过测试的版本如下。

with open('mycsvfile.csv', 'w') as f:  # Just use 'w' mode in 3.x
    header_present  = False
    for doc in res['hits']['hits']:
        my_dict = doc['_source'] 
        if not header_present:
            fieldnames = ['name', 'name', 'name']
            w = csv.DictWriter(f, fieldnames=fieldnames)
            w.writeheader()
            header_present = True

        w.writerow(my_dict)

使脚本写出标题的原因是传递给DictWriter的my_dict.keys()。用标签列表替换这些键,编写者应该正确编写它。

答案 1 :(得分:0)

一种简单的方法是将dict用作转换表并将其写为一行而不是编写实际的DictWriter标题:

header_names = { 'DTDT': 'DATE', 'TRDT': 'TIME', ...}

with open('mycsvfile.csv', 'w') as f:  # Just use 'w' mode in 3.x
    header_present  = False
    for doc in res['hits']['hits']:
        my_dict = doc['_source'] 
        if not header_present:
            w = csv.DictWriter(f, my_dict.keys())
            w.writerow(header_names)  # will write DATE, TIME, ... in correct place
            header_present = True


        w.writerow(my_dict)