使用Kyle Dunovan的jupyter-themes包很容易做到这一点。您可以使用conda安装它。否则，您将需要使用pip。

使用conda安装:

conda install -c conda-forge jupyterthemes

或小毛病:

pip install jupyterthemes

你可以通过以下方法获得可用主题的列表:

jt -l

所以改变你的主题:

jt -t theme-name

要加载主题，最后，重新加载页面。文档和源代码都在这里。在设置主题时，还可以在同一个命令中指定-T(——toolbar)来保留工具栏，否则工具栏将不会显示。如需帮助，请输入jt -h。

暗模式:-

我已经使用Raleway字体样式

到C:\User\UserName\.jupyter\custom\custom.css文件

附加给定的样式，这是专门为黑暗模式的jupyter笔记本…

这应该是您当前的custom.css文件:-

/* This file contains any manual css for this page that needs to override the global styles.
    This is only required when different pages style the same element differently. This is just
    a hack to deal with our current css styles and no new styling should be added in this file.*/

#ipython-main-app {
    position: relative;
}

#jupyter-main-app {
    position: relative;
}

现在开始追加内容

.header-bar {
    display: none;
}

#header-container img {
    display: none;
}

#notebook_name {
    margin-left: 0px !important;
}

#header-container {
    padding-left: 0px !important
}

html,
body {
    overflow: hidden;
    font-family: OpenSans;
}

#header {
    background-color: #212121 !important;
    color: #fff;
    padding-top: 20px;
    padding-bottom: 50px;
}

.navbar-collapse {
    background-color: #212121 !important;
    color: #fff;
    border: none !important
}

#menus {
    border: none !important;
    color: white !important;
}

#menus .dropdown-toggle {
    color: white !important;
}

#filelink {
    color: white !important;
    text-align: centerimportant;
    padding-left: 7px;
    text-decoration: none !important;
}

.navbar-default .navbar-nav>.open>a,
.navbar-default .navbar-nav>.open>a:hover,
.navbar-default .navbar-nav>.open>a:focus {
    background-color: #191919 !important;
    color: #eee !important;
    text-align: left !important;
}

.dropdown-menu,
.dropdown-menu a,
.dropdown-submenu a {
    background-color: #191919;
    color: #fff !important;
}

.dropdown-menu>li>a:hover,
.dropdown-menu>li>a:focus,
.dropdown-submenu>a:after {
    background-color: #212121;
    color: #fff !important;
}

.btn-default {
    color: #fff !important;
    background-color: #212121 !important;
    border: none !important;
}

.dropdown {
    text-align: left !important;
}

.form-control.select-xs {
    background-color: #191919 !important;
    color: #eee !important;
    border: none;
    outline: none;
}

#modal_indicator {
    display: none;
}

#kernel_indicator {
    color: #fff;
}

#notification_trusted,
#notification_notebook {
    background-color: #212121;
    color: #eee !important;
    border: none;
    border-bottom: 1px solid #eee;
}

#logout {
    background-color: #191919;
    color: #eee;
}

#maintoolbar-container {
    padding-top: 0px !important;
}

.notebook_app {
    background-color: #222222;
}

::-webkit-scrollbar {
    display: none;
}

#notebook-container {
    background-color: #212121;
}

div.cell.selected,
div.cell.selected.jupyter-soft-selected {
    border: none !important;
}

.cm-keyword {
    color: orange !important;
}

.input_area {
    background-color: #212121 !important;
    color: white !important;
    border: 1px solid rgba(255, 255, 255, 0.1) !important;
}

.cm-def {
    color: #5bc0de !important;
}

.cm-variable {
    color: yellow !important;
}

.output_subarea.output_text.output_result pre,
.output_subarea.output_text.output_stream.output_stdout pre {
    color: white !important;
}

.CodeMirror-line {
    color: white !important;
}

.cm-operator {
    color: white !important;
}

.cm-number {
    color: lightblue !important;
}

.inner_cell {
    border: 1px thin #eee;
    border-radius: 50px !important;
}

.CodeMirror-lines {
    border-radius: 20px;
}

.prompt.input_prompt {
    color: #5cb85c !important;
}

.prompt.output_prompt {
    color: lightblue;
}

.cm-string {
    color: #6872ac !important;
}

.cm-builtin {
    color: #f0ad4e !important;
}

.run_this_cell {
    color: lightblue !important;
}

.input_area {
    border-radius: 20px;
}

.output_png {
    background-color: white;
}

.CodeMirror-cursor {
    border-left: 1.4px solid white;
}

.box-flex1.output_subarea.raw_input_container {
    color: white;
}

input.raw_input {
    color: black !important;
}

div.output_area pre {
    color: white
}

h1,
h2,
h3,
h4,
h5,
h6 {
    color: white !important;
    font-weight: bolder !important;
}

.CodeMirror-gutter.CodeMirror-linenumber,
.CodeMirror-gutters {
    background-color: #212121 !important;
}


span.filename:hover {
    color: #191919 !important;
    height: auto !important;
}

#site {
    background-color: #191919 !important;
    color: white !important;
}

#tabs li.active a {
    background-color: #212121 !important;
    color: white !important;
}

#tabs li {
    background-color: #191919 !important;
    color: white !important;
    border-top: 1px thin #eee;
}

#notebook_list_header {
    background-color: #212121 !important;
    color: white !important;
}

#running .panel-group .panel {
    background-color: #212121 !important;
    color: white !important;
}

#accordion.panel-heading {
    background-color: #212121 !important;
}

#running .panel-group .panel .panel-heading {
    background-color: #212121;
    color: white
}

.item_name {
    color: white !important;
    cursor: pointer !important;
}

.list_item:hover {
    background-color: #212121 !important;
}

.item_icon.icon-fixed-width {
    color: white !important;
}

#texteditor-backdrop {
    background-color: #191919 !important;
    border-top: 1px solid #eee;
}

.CodeMirror {
    background-color: #212121 !important;
}

#texteditor-backdrop #texteditor-container .CodeMirror-gutter,
#texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #212121 !important;
}

.celltoolbar {
    background-color: #212121 !important;
    border: none !important;
}

我的完整解决方案:

1)在chrome上获得黑暗读者，这不仅会让你为Jupyter一个伟大的黑暗主题，而且为每一个你想要的网站(你可以玩不同的过滤器。我使用Dynamic)。

2)将这些代码行粘贴到你的笔记本上，这样图例和轴就可以看到了:

from jupyterthemes import jtplot
jtplot.style(theme='monokai', context='notebook', ticks=True, grid=False)

你已经为迪斯科编码之夜做好了准备!

如果有人有兴趣在启用主题的docker中运行anaconda

docker run -t --rm -p 8888:8888 -v $(pwd):/opt/notebooks continuumio/anaconda3 /bin/bash -c "pip install jupyterthemes; jt -t onedork; /opt/conda/bin/jupyter notebook --ip=0.0.0.0 --port=8888 --notebook-dir=/opt/notebooks --allow-root --no-browser;"

conda install jupyterthemes

在Windows系统中不适合我。我用的是水蟒。

但是,

pip install jupyterthemes

在Anaconda Prompt工作过。

!pip install jupyterthemes

运行这个库:

from jupyterthemes import get_themes
import jupyterthemes as jt
from jupyterthemes.stylefx import set_nb_theme

这:

set_nb_theme('monokai')

主题:

’monokai’, ’chesterish’, ’oceans16’, ’solarizedl’, ’solarizedd’, ’grade3’, ’onedork’