Jupyter使用

jupyter

图片alt

jupyter notebook --ip=0.0.0.0 --port=8888

• 安装cpp环境
  <https://blog.csdn.net/weixin_37543731/article/details/99254107 >
• 安装插件
  <https://blog.csdn.net/jac_chao/article/details/107303538 >

jupyter添加或删除内核

• 切换到要添加的环境，确认已安装 ipykernel
  python -m ipykernel --version
  如果没有安装，则安装：python -m pip install ipykernel
• jupyter安装内核(kernel)
  python -m ipykernel install --user [ --name= ]
  注意：在linux系统中由于用户权限问题，不能省略 --user ！
• 查看jupyter notebook kernel
  jupyter kernelspec list
• jupyter删除内核
  jupyter kernelspec remove kernelname

切换进conda虚拟环境的ipython

• 在cmd中切换到想要的环境
  • codna create -n ***
• 在此环境中中安装好ipykernel
  • conda install ipykernel
• python -m ipykernel install --name ***

插件

pip install ipympl
# If using JupyterLab
conda install nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib

Native R kernel for Jupyter

https://github.com/IRkernel/IRkernel

install.packages('IRkernel')
IRkernel::installspec() 
[InstallKernelSpec] Installed kernelspec ir in /home/wangyang/.local/share/jupyter/kernels/ir

install.packages('devtools')
install.packages("ElemStatLearn", repos=‘https://mran.microsoft.com/snapshot/2019-02-01/’)
devtools::install_github('IRkernel/IRkernel')
IRkernel::installspec() 

--------------------------- [ANTICONF] --------------------------------
Configuration failed to find the harfbuzz freetype2 fribidi library. Try installing:
 * deb: libharfbuzz-dev libfribidi-dev (Debian, Ubuntu, etc)
 * rpm: harfbuzz-devel fribidi-devel (Fedora, EPEL)
 * csw: libharfbuzz_dev libfribidi_dev (Solaris)
 * brew: harfbuzz fribidi (OSX)
If harfbuzz freetype2 fribidi is already installed, check that 'pkg-config' is in your
PATH and PKG_CONFIG_PATH contains a harfbuzz freetype2 fribidi.pc file. If pkg-config
is unavailable you can set INCLUDE_DIR and LIB_DIR manually via:
R CMD INSTALL --configure-vars='INCLUDE_DIR=... LIB_DIR=...'
-------------------------- [ERROR MESSAGE] ---------------------------
<stdin>:1:10: fatal error: hb-ft.h: No such file or directory
compilation terminated.
--------------------------------------------------------------------
ERROR: configuration failed for package ‘textshaping’

Native R kernel for Jupyter

https://github.com/IRkernel/IRkernel

install.packages('IRkernel')
IRkernel::installspec() 
[InstallKernelSpec] Installed kernelspec ir in /home/wangyang/.local/share/jupyter/kernels/ir

install.packages('devtools')
install.packages("ElemStatLearn", repos=‘https://mran.microsoft.com/snapshot/2019-02-01/’)
devtools::install_github('IRkernel/IRkernel')
IRkernel::installspec() 

--------------------------- [ANTICONF] --------------------------------
Configuration failed to find the harfbuzz freetype2 fribidi library. Try installing:
 * deb: libharfbuzz-dev libfribidi-dev (Debian, Ubuntu, etc)
 * rpm: harfbuzz-devel fribidi-devel (Fedora, EPEL)
 * csw: libharfbuzz_dev libfribidi_dev (Solaris)
 * brew: harfbuzz fribidi (OSX)
If harfbuzz freetype2 fribidi is already installed, check that 'pkg-config' is in your
PATH and PKG_CONFIG_PATH contains a harfbuzz freetype2 fribidi.pc file. If pkg-config
is unavailable you can set INCLUDE_DIR and LIB_DIR manually via:
R CMD INSTALL --configure-vars='INCLUDE_DIR=... LIB_DIR=...'
-------------------------- [ERROR MESSAGE] ---------------------------
<stdin>:1:10: fatal error: hb-ft.h: No such file or directory
compilation terminated.
--------------------------------------------------------------------
ERROR: configuration failed for package ‘textshaping’

参考

• https://www.cnpython.com/qa/39198
• jupyter 安装R kernel

conda env remove --name myenv
alternatively:

conda remove --name myenv --all 

jupyter转python

 jupyter nbconvert --to script *.ipynb

快捷键

命令模式 (按键 Esc 开启)
Enter : 转入编辑模式
Shift-Enter : 运行本单元，选中下个单元
Ctrl-Enter : 运行本单元
Alt-Enter : 运行本单元，在其下插入新单元
Y : 单元转入代码状态
M :单元转入markdown状态
R : 单元转入raw状态
1 : 设定 1 级标题
2 : 设定 2 级标题
3 : 设定 3 级标题
4 : 设定 4 级标题
5 : 设定 5 级标题
6 : 设定 6 级标题
Up : 选中上方单元
K : 选中上方单元
Down : 选中下方单元
J : 选中下方单元
Shift-K : 扩大选中上方单元
Shift-J : 扩大选中下方单元
A : 在上方插入新单元
B : 在下方插入新单元
X : 剪切选中的单元
C : 复制选中的单元
Shift-V : 粘贴到上方单元
V : 粘贴到下方单元
Z : 恢复删除的最后一个单元
D,D : 删除选中的单元
Shift-M : 合并选中的单元
Ctrl-S : 文件存盘
S : 文件存盘
L : 转换行号
O : 转换输出
Shift-O : 转换输出滚动
Esc : 关闭页面
Q : 关闭页面
H : 显示快捷键帮助
I,I : 中断Notebook内核
0,0 : 重启Notebook内核
Shift : 忽略
Shift-Space : 向上滚动
Space : 向下滚动
编辑模式 ( Enter 键启动)
Tab : 代码补全或缩进
Shift-Tab : 提示
Ctrl-] : 缩进
Ctrl-[ : 解除缩进
Ctrl-A : 全选
Ctrl-Z : 复原
Ctrl-Shift-Z : 再做
Ctrl-Y : 再做
Ctrl-Home : 跳到单元开头
Ctrl-Up : 跳到单元开头
Ctrl-End : 跳到单元末尾
Ctrl-Down : 跳到单元末尾
Ctrl-Left : 跳到左边一个字首
Ctrl-Right : 跳到右边一个字首
Ctrl-Backspace : 删除前面一个字
Ctrl-Delete : 删除后面一个字
Esc : 进入命令模式
Ctrl-M : 进入命令模式
Shift-Enter : 运行本单元，选中下一单元
Ctrl-Enter : 运行本单元
Alt-Enter : 运行本单元，在下面插入一单元
Ctrl-Shift-- : 分割单元
Ctrl-Shift-Subtract : 分割单元
Ctrl-S : 文件存盘
Shift : 忽略
Up : 光标上移或转入上一单元
Down :光标下移或转入下一单元

sudo pip3 install jupyter_server_proxy
jupyter serverextension enable jupyter_server_proxy

import plotly.graph_objects as go
fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
fig.write_html('first_figure.html', auto_open=True)

导出HTML

jupyter nbconvert --to html notebook.ipynb

import nbformat as nbf
import pandas as pd

Jupyter添加主题

jupyter lab paths
cd /home/wangyang/anaconda3/share/jupyter/nbconvert/templates

参考

https://blog.csdn.net/weixin_35757704/article/details/115002123
https://nbconvert.readthedocs.io/en/latest/customizing.html#inheritance
https://nbformat.readthedocs.io/en/latest/