Awesome

jupyterthemes

Theme-ify your Jupyter Notebooks!

Author	Version	Status	Demo
Kyle Dunovan

Updates

Scaling Back Support:

As anyone who has opened a bug report or feature request in the last several years can attest, I have begun scaling back support for the jupyter-themes package - mostly due to my personal preference for using Jupyter Lab over Jupyter Notebook classic (see update below for two of my JupyterLab theme repos). Thank you to everyone who contributed to jupyter-themes.

JupyterLab Themes:

JupyterLab themes with similar style/design conventions to jupyter-themes:

JupyterLab v3.0

• Legos Theme.
• Darkside Theme.

JupyterLab v4.0

• Darkside Theme.

JT Customizable Features

plotting style

markdown/equations

pandas dataframes

command palette

Links

• jupyterthemes on PyPI
• jupyterthemes on GitHub

Requirements

• Python 3.4, 3.5, 3.6, 3.7 and 3.8
• Jupyter (Anaconda recommended)
• matplotlib

Install with pip

# install jupyterthemes
pip install jupyterthemes

# upgrade to latest version
pip install --upgrade jupyterthemes

Install with conda

# install jupyterthemes
conda install -c conda-forge jupyterthemes

# update to latest version
conda update jupyterthemes

Known issues

• for best results: use notebook>=5.6.0 (pip install --upgrade notebook)
• refreshing / removing / resetting: depending on your system, browser, etc., you may need to empty your browser cache after installing a new theme (-t) or attempting to restore the default (-r) in order for those changes to take effect. (see discussion here). At the very least you'll need to refresh your browser window (usually cmd+r or ctrl+r).
• install issue: if you get an error saying jt is not recognized, try this fix.
• slow render when scrolling: fix available here

Command Line Usage

jt  [-h] [-l] [-t THEME] [-f MONOFONT] [-fs MONOSIZE] [-nf NBFONT]
    [-nfs NBFONTSIZE] [-tf TCFONT] [-tfs TCFONTSIZE] [-dfs DFFONTSIZE]
    [-m MARGINS] [-cursw CURSORWIDTH] [-cursc CURSORCOLOR] [-vim]
    [-cellw CELLWIDTH] [-lineh LINEHEIGHT] [-altp] [-altmd] [-altout]
    [-P] [-T] [-N] [-r] [-dfonts]

Description of Command Line options

Command Line Examples

# list available themes
# onedork | grade3 | oceans16 | chesterish | monokai | solarizedl | solarizedd
jt -l

# select theme...
jt -t chesterish

# restore default theme
# NOTE: Need to delete browser cache after running jt -r
# If this doesn't work, try starting a new notebook session.
jt -r

# toggle toolbar ON and notebook name ON
jt -t grade3 -T -N

# toggle kernel logo.  kernel logo is in same container as name
# toggled with -N.  That means that making the kernel logo visible is
# pointless without also making the name visible
jt -t grade3 -N -kl

# set code font to 'Roboto Mono' 12pt
# (see monospace font table below)
jt -t onedork -f roboto -fs 12

# set code font to Fira Mono, 11.5pt
# 3digit font-sizes get converted into float (115-->11.5)
# 2digit font-sizes > 25 get converted into float (85-->8.5)
jt -t solarizedd -f fira -fs 115

# set font/font-size of markdown (text cells) and notebook (interface)
# see sans-serif & serif font tables below
jt -t oceans16 -tf merriserif -tfs 10 -nf ptsans -nfs 13

# adjust cell width (% screen width) and line height
jt -t chesterish -cellw 90% -lineh 170

# or set the cell width in pixels by leaving off the '%' sign
jt -t solarizedl -cellw 860

# fix the container-margins on the intro page (defaults to 'auto')
jt -t monokai -m 200

# adjust cursor width (in px) and make cursor red
# options: b (blue), o (orange), r (red), p (purple), g (green), x (font color)
jt -t oceans16 -cursc r -cursw 5

# choose alternate prompt layout (narrower/no numbers)
jt -t grade3 -altp

# my two go-to styles
# dark
jt -t onedork -fs 95 -altp -tfs 11 -nfs 115 -cellw 88% -T
# light
jt -t grade3 -fs 95 -altp -tfs 11 -nfs 115 -cellw 88% -T

Set Plotting Style (from within notebook)

jtplot.style() makes changes to matplotlib's rcParams dictionary so that figure aesthetics match those of a chosen jupyterthemes style. In addition to setting the color scheme, jtplot.style() allows you to control various figure properties (spines, grid, font scale, etc.) as well as the plotting "context" (borrowed from seaborn).

Note, these commands do not need to be re-run every time you generate a new plot, just once at the beginning of your notebook or whenever style changes are desired after that.

Pro-tip: Include the following two lines in ~/.ipython/profile_default/startup/startup.ipy file to set plotting style automatically whenever you start a notebook:

# import jtplot submodule from jupyterthemes
from jupyterthemes import jtplot

# currently installed theme will be used to
# set plot style if no arguments provided
jtplot.style()

jtplot.style() Examples

# import jtplot module in notebook
from jupyterthemes import jtplot

# choose which theme to inherit plotting style from
# onedork | grade3 | oceans16 | chesterish | monokai | solarizedl | solarizedd
jtplot.style(theme='onedork')

# set "context" (paper, notebook, talk, poster)
# scale font-size of ticklabels, legend, etc.
# remove spines from x and y axes and make grid dashed
jtplot.style(context='talk', fscale=1.4, spines=False, gridlines='--')

# turn on X- and Y-axis tick marks (default=False)
# turn off the axis grid lines (default=True)
# and set the default figure size
jtplot.style(ticks=True, grid=False, figsize=(6, 4.5))

# reset default matplotlib rcParams
jtplot.reset()

Monospace Fonts (code cells)

Sans-Serif Fonts

Serif Fonts