jupyter notebook中代码显示行号可以方便调试,显示行号的方法有: 1、点击菜单中的view,并选择toggle line numbers 2、对于新版本jupyter notebook, view中没有toggle line numbers选项,这时可按L显示行号,再按L行号消失
Jupyter Notebook折叠输出的内容 一、问题描述 当Jupyter Notebook的输出内容很多时,为了屏幕可以显示更多的代码行,我需要将输出的内容进行折叠。 二、解决方法 1、鼠标操作 (1)鼠标左键双击输出单元格的左侧灰色区域。 (2)展开:鼠标左键单机下方的灰色区域即可。如下图所示: 2、快捷键操作 (1)按Esc键 (2)...
jupyterjupyter-notebookline-numbersjupyter-extension UpdatedDec 19, 2022 JavaScript Add Line Number to Text is a tool that allows you to automatically assign line numbers to each line of text in a document. phptoolsonlinejsscripttextsource-codeline-numbersline-numberadd-line-number-to-text ...
Useful Magic Commands in Jupyter Notebook %load_extline_profiler 3.2 Profile Single Function¶ Below we have created a simple function that generated a numpy array of a random number between 1-100 of size1000x1000. We are then taking an average of an array and returning average. At the st...
Use thetag to add a new line in a Jupyter Notebook markdown cell. Thetag stands for "line break" and is used to produce a line break in the text. example.md bobbyhadzcom Make sureMarkdownis selected from the dropdown as shown in the screenshot. You can run the code...
on-comment.yml on: issue_comment main 16s Oh hello! Nice to see you. Made with ️ by humans.txt Annotations 1 warning main Unexpected input(s) 'appInsightsKey', valid inputs are ['token', 'notYetReleasedLabel', 'insidersReleasedLabel'] ...
Before creating a training job, use the ModelArts development environment to debug the training code to maximally eliminate errors in code migration. Use the online notebook environment for debugging. For details, seeJupyterLab Overview and Common Operations. ...
UsageError: Line magic function `%` not found. Jupyter Notebook 一开始搜到的方案说, 1.安装line_profiler 下载地址:https://pypi.python.org/pypi/line_profiler/2.0 安装:python setup.py install 后来还要修改配置什么的,我虚拟环境不知道怎么配置 ...
Tkinter的GUI设计 和 django页面设计,那么笔者只是想快速做个demo原型,以上的内容能不能结合着来,有一些简单的交互 + web可以快速访问的到,于是就看到了jupyter notebook这两个库,非常简单的玩具,来看看呗~ ipywidgets比较强调输入项的各式花样,但是其对输出内容的格式的花样非常少。
现在,要在金融数据上测试此算法,Zipline 提供了三种接口:1. 通过zipline命令的命令行,2. 通过zipline魔法在Jupyter Notebook中,3. 通过run_algorithm()执行你的算法,就像任何 Python 脚本一样,例如在你的 IDE 中。 在我们运行任何算法之前,我们需要一些数据。