我在我的IPython笔记本中使用了西里尔符号。当我在ML工作室工作时,它工作正常。
但是当我下载笔记本并打开它们时(例如在http://try.jupyter.org上),我看到了奇怪的字符。
错误的笔记本(在Azure ML Studio上创建):
{"nbformat_minor": 0, "cells": [{"source": "\u00d1\u0082\u00d0\u00b5\u00d1\u0081\u00d1\u0082", "cell_type": "markdown", "metadata": {"collapsed": true}}], "nbformat": 4, "metadata": {"kernelspec": {"display_name": "Python 2", "name": "python2", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "2.7.11", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython2", "codemirror_mode": {"version": 2, "name": "ipython"}}}}
$ file bad.ipynb
bad.ipynb: ASCII text, with very long lines, with no line terminators
“好”版本,在http://try.jupyter.org上创建:
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"тест"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
$ file good.ipynb
good.ipynb: UTF-8 Unicode text
答案 0 :(得分:1)
我做了一些实验,发现你的json编码成utf-8。对于您的情况,获取真实内容很简单。请参阅以下代码:
Python 3.x
a = '{"nbformat_minor": 0, "cells": [{"source": "\u00d1\u0082\u00d0\u00b5\u00d1\u0081\u00d1\u0082", "cell_type": "markdown", "metadata": {"collapsed": true}}], "nbformat": 4, "metadata": {"kernelspec": {"display_name": "Python 2", "name": "python2", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "2.7.11", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython2", "codemirror_mode": {"version": 2, "name": "ipython"}}}}'
result = a.encode('latin-1').decode("utf-8")
Python 2.x
a = '{"nbformat_minor": 0, "cells": [{"source": "\u00d1\u0082\u00d0\u00b5\u00d1\u0081\u00d1\u0082", "cell_type": "markdown", "metadata": {"collapsed": true}}], "nbformat": 4, "metadata": {"kernelspec": {"display_name": "Python 2", "name": "python2", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "2.7.11", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython2", "codemirror_mode": {"version": 2, "name": "ipython"}}}}'
result = a.decode('unicode-escape').encode("latin-1")
这段代码可能不适用于其他一些情况,因为'latin-1'并不涵盖所有0-255个字符。因此,我仍然在为这类事情寻找更好的编码。