Python JSON转储/附加到.txt,每个变量都在新行

2023-09-27Python开发问题
56

本文介绍了Python JSON转储/附加到.txt,每个变量都在新行的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

My code creates a dictionary, which is then stored in a variable. I want to write each dictionary to a JSON file, but I want each dictionary to be on a new line.

My dictionary:

hostDict = {"key1": "val1", "key2": "val2", "key3": {"sub_key1": "sub_val2", "sub_key2": "sub_val2", "sub_key3": "sub_val3"}, "key4": "val4"}

Part of my code:

g = open('data.txt', 'a')
with g as outfile:
  json.dump(hostDict, outfile)

This appends each dictionary to 'data.txt' but it does so inline. I want each dictionary entry to be on new line. Any advice would be appreciated.

解决方案

Your question is a little unclear. If you're generating hostDict in a loop:

with open('data.txt', 'a') as outfile:
    for hostDict in ....:
        json.dump(hostDict, outfile)
        outfile.write('
')

If you mean you want each variable within hostDict to be on a new line:

with open('data.txt', 'a') as outfile:
    json.dump(hostDict, outfile, indent=2)

When the indent keyword argument is set it automatically adds newlines.

这篇关于Python JSON转储/附加到.txt,每个变量都在新行的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11