'dict' 对象没有属性 'read'

#39;dict#39; object has no attribute #39;read#39;(dict 对象没有属性 read)
本文介绍了'dict' 对象没有属性 'read'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

在 Windows 系统上运行 Python 我遇到了将 JSON 文件加载到内存中的问题.我的代码有什么问题?

Running Python on a Windows system I encountered issues with loading a JSON file into memory. What is wrong with my code?

>>> import json
>>> array = json.load({"name":"Name","learning objective":"load json files for data analysis"})
Traceback (most recent call last):
  File "<pyshell#1>", line 1, in <module>
    array = json.load({"name":"Name","learning objective":"load json files for data analysis"})
  File "C:Python34libjson\__init__.py", line 265, in load
    return loads(fp.read(),
AttributeError: 'dict' object has no attribute 'read'

推荐答案

既然要转成json格式,就用json.dumps()代替json.load().这会起作用:

Since you want to convert it into json format, you should use json.dumps() instead of json.load(). This would work:

>>> import json
>>> array = json.dumps({"name":"Galen","learning objective":"load json files for data analysis"})
>>> array
'{"learning objective": "load json files for data analysis", "name": "Galen"}'

输出:

>>> a = json.loads(array)
>>> a["name"]
u'Galen'

这篇关于'dict' 对象没有属性 'read'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!

本站部分内容来源互联网,如果有图片或者内容侵犯了您的权益,请联系我们,我们会在确认后第一时间进行删除!

相关文档推荐

groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)
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)
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)
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)
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)