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!

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;
}

你可以直接在打开的笔记本上完成:

!pip install jupyterthemes
!jt -t chesterish

重新启动主题应用程序的jupyter服务器

!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’

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!

另一个选择是如果你使用谷歌chrome，想要一个黑暗的主题，让你在jupyter/网页上工作几个小时更容易，同时也让你的代码中的配色方案可读，那就是在实验中使用“Web内容的自动暗模式”标志- chrome://flags -我通常会选择“启用选择性图像反转”选项。