常见的jupyter notebook 更改操作，包括主题，格式；创造虚拟环境
jupyter notebook 更改操作
- 目录
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- 一.更改主题
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- 1.报错情况
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- 1.1 缺少某些包
- 2.1 某些包无法调用
- 3.1: 500 : Internal Server Error
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- 2. 查看哪些主题可以使用
- 3.设置主题参数
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- 二.更改jupyter notebook工作情况
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- 1.修改工作路径
- 2.修改密码
- 3.创造虚拟环境
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目录
jupyter notebook原版主题纯白色，好看简洁，但是亮瞎。
一.更改主题
主题安装命令
pip install jupyterthemes
如果太慢，使用如下命令
pip install -i https://pypi.doubanio.com/simple/ --upgrade jupyterthemes
PS: sasa
1.报错情况
1.1 缺少某些包
distributed 1.21.8 requires msgpack, which is not installed.
notebook 6.0.3 has requirement jupyter-core>=4.6.1, but you'll have jupyter-core 4.4.0 which is incompatible.
jupyter-client 6.1.3 has requirement jupyter-core>=4.6.0, but you'll have jupyter-core 4.4.0 which is incompatible.
明显缺少了msgpack和更高版本的jupyter-core，解决方法输入：
pip install -i https://pypi.doubanio.com/simple/ msgpack
pip install -U -i https://pypi.tuna.tsinghua.edu.cn/simple jupyter-core==4.6.1
2.1 某些包无法调用
ERROR: Cannot uninstall 'terminado'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
那么输入如下
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple terminado --upgrade --ignore-installed terminado
3.1: 500 : Internal Server Error
# 简单地解决方法
pip install --upgrade --user nbconvert
如果还不行，就用下面的方法
conda install nb_conda
该命令会导致一些包的版本变更，请注意，但是可以完成该环境的全面维护
2. 查看哪些主题可以使用
# 查看有哪些可用用的主题
jt -l
# 有如下
Available Themes:
chesterish
grade3
gruvboxd
gruvboxl
monokai # 大黑色，我最喜欢的
oceans16 # 紫色
onedork
solarizedd
solarizedl
3.设置主题参数
非常常用
-t：设置主题
-T：打开工具栏（Toolbar）
-N：显示名字(Name)—方便更改名字
比较常用
-f：设置字体（font）
-nf：设置notebook字体
不常用的
| 命令 | 含义 |
|---|---|
| -nfs | notebook字体尺寸 |
| -cellw | 细胞宽度 |
| -dfs | pandas库的dataframe数据字体尺寸 |
| -ofs | 输出空间尺寸 |
| -tfs | Txt文本字体尺寸 |
| -tf | TXT字体格式 |
没用过的
我都没用过，怎么可能写教程
如果不想那么麻烦，直接用我的示例
jt -t monokai -f roboto -nf robotosans -tf robotosans -N -T -cellw 70% -dfs 10 -ofs 10
二.更改jupyter notebook工作情况
查看所有的jupyter notebook的工作配置文件
jupyter notebook --generate-config
# 输出
Overwrite /home/zy/.jupyter/jupyter_notebook_config.py with default config? [y/N]
y # 输入Y同意
# 配置文件路径打印
Writing default config to: /home/zy/.jupyter/jupyter_notebook_config.py
1.修改工作路径
ctrl + h # 显示隐藏路径找到 /.jupyter/jupyter_notebook_config.py
# 找到下面这行
#c.NotebookApp.notebook_dir =
删除#把路径添加进去，例如我
c.NotebookApp.notebook_dir = r'/home/zy/study'
2.修改密码
同样的文件，找到如下这一行
# c.NotebookApp.password =‘ ’
当内容是'代表有密码，取消密码只需要去掉#和'
3.创造虚拟环境
在Anaconda中，我们可以使用conda create -n 环境名 python=版本号的方法创建虚拟环境，(ubuntu)并使用source activate 环境名方式激活该虚拟环境，(windows)并使用activate 环境名方式激活该虚拟环境。
但是，可能会有以下问题：
- 一直
solving environment: Failed
Solving environment: failed
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
`$ D:\Anaconda\Scripts\conda update anaconda-navigator`
environment variables:
CIO_TEST=<not set>
CONDA_ROOT=D:\Anaconda
CUDA_PATH=D:\CUDA\Development
HOMEPATH=\Users\ZY
NVTOOLSEXT_PATH=C:\Program Files\NVIDIA Corporation\NvToolsExt\
PATH=D:\CUDA\Development\bin;D:\CUDA\Development\libnvvp;D:\CUDA\Developmen
t\extras\CUPTI\lib64;D:\Anaconda;D:\Anaconda\Library\mingw-w64\bin;D:\
Anaconda\Library\usr\bin;D:\Anaconda\Library\bin;D:\Anaconda\Scripts;C
:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\Syst
em32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program
Files (x86)\NVIDIA Corporation\PhysX\Common;E:\UE;C:\Program
Files\NVIDIA Corporation\Nsight Compute
2020.1.2\;C:\Users\ZY\AppData\Local\Microsoft\WindowsApps;
PSMODULEPATH=C:\Program Files\WindowsPowerShell\Modules;C:\Windows\system32\Windows
PowerShell\v1.0\Modules
REQUESTS_CA_BUNDLE=<not set>
SSL_CERT_FILE=<not set>
active environment : None
user config file : C:\Users\ZY\.condarc
populated config files : C:\Users\ZY\.condarc
conda version : 4.5.4
conda-build version : 3.10.5
python version : 3.6.5.final.0
base environment : D:\Anaconda (writable)
channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/win-64
https://repo.anaconda.com/pkgs/pro/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : D:\Anaconda\pkgs
C:\Users\ZY\AppData\Local\conda\conda\pkgs
envs directories : D:\Anaconda\envs
C:\Users\ZY\AppData\Local\conda\conda\envs
C:\Users\ZY\.conda\envs
platform : win-64
user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Windows/10 Windows/10.0.17763
administrator : True
netrc file : None
offline mode : False
V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V V
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch/repodata.json>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
SSLError(MaxRetryError('HTTPSConnectionPool(host=\'mirrors.tuna.tsinghua.edu.cn\', port=443): Max retries exceeded with url: /anaconda/pkgs/free/noarch/repodata.json (Caused by SSLError(SSLError("bad handshake: Error([(\'SSL routines\', \'ssl3_get_server_certificate\', \'certificate verify failed\')],)",),))',),)
A reportable application error has occurred. Conda has prepared the above report.
只需要把防火墙解决一下：conda config --set ssl_verify false。就好了
- 激活环境后无法使用里面的
tensorflow包，解决方案：解决无法导包问题 - 安装包的时候，特别慢，解决第三方包慢的问题;或者直接在“软件与更新”里面，更改第三方源的位置。
pycharm使用anaconda的环境，如何使用环境