自动将ipython输出转换为pdf [英] Automating ipython output to pdf

问题描述

我有一个小程序，基本上可以进行各种统计计算，并打印出结果和图表.

I have a little program that basically does all kinds of statistical calculation and prints out results and charts.

目前，一种获得程序良好pdf输出的便捷方法是使用魔术命令％matplotlib内联在Jupyter IPython Notebook中运行我的代码，并通过执行通过LaTex(.pdf)PDF"将其另存为pdf

At present, a convenient way to get a nice pdf output of my program is to run my code in Jupyter IPython Notebook using magic command %matplotlib inline and save as pdf by doing "PDF via LaTex(.pdf) "

但是，问题是我每次运行程序时都必须手动进行操作.此外，我无法以二进制可执行文件的形式将程序交付给其他人，这是我的最终目标.

But, the problem is I have to do it manually every time I run the program. In addition, I cannot deliver the program as binary executable to other people, which is my final goal.

是否可以通过编程方式执行此操作?明确地说，我想要的只是我的程序以pdf格式输出，以便在运行可执行文件时，输出为pdf. 我不希望最终用户创建ipython笔记本.最终用户将无权访问源代码.

Is there a way to do this programmatically? Just to be clear, all I want is output of my program in pdf format so that when the executable is run, the output is pdf. I don't want the end user to create ipython notebook. The end user will not have access to the source code.

推荐答案

截至目前，尚无用于将笔记本转换为PDF的编程语言API.但是，存在一个名为 nbconvert 的命令行实用程序.它具有与Web界面的格式转换器相同的功能.要转换为PDF，可以执行jupyter nbconvert notebook.ipynb --to pdf.

As of now there's not a programming language API to convert notebooks to PDF. However, a command line utility exists called nbconvert. It has the same functionality as the web interface's format converters. To convert to PDF, you can do jupyter nbconvert notebook.ipynb --to pdf.

幸运的是，Python有一个方便的子流程模块，该模块可让您产生新的流程，检查其输入和输出，并获取其返回码.因此，您可以执行以下操作:

Luckily, Python has a handy subprocess module which allows you to spawn new processes, check their inputs and outputs, and get their return codes. So you could do something like:

import subprocess
subprocess.call("jupyter nbconvert notebook.ipynb --to pdf")

有点骇人听闻的方法，但是它可以工作.如果您使用的是Windows，则可能需要将其他kwarg shell=True添加到subprocess.call()

Kind of a hacky way, but it will work. If you're using Windows, you may need to add the additional kwarg shell=True to subprocess.call()

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