Customize your Jupyter Notebook Theme in 2 lines of code | by Satyam Kumar | Towards Data Science

The interface themes define the appearance of the windows, buttons, toolbar, cells, and all visual elements of the user interface. By default, Jupyter Notebook uses the light theme. Some of the programmers or data scientists like to use some dark themes or other themes on different platform such as PyCharm, Spyder, etc.
Jupyter Notebook does not come up with an inbuilt option to change the theme of the notebook. In this article, you can read how to change the theme of your jupyter notebook, enable/disable toolbars, and customize your notebook according to your need.
Jupyter themes is an open-source library developed by Kyle Dunovan used to change themes, plotting style, fonts in the jupyter notebook. You can install Jupiter themes using pip:
# install jupyterthemespip install jupyterthemes# upgrade to latest versionpip install --upgrade jupyterthemes
By default, Jupyter Notebook uses a light theme as mentioned in the below image. Notebook themes are customizable along with toolbars, text and code fonts, and other elements of the user interface. To view the list of available themes in jupyterthemes package use command line usage !jt -l:
Command-line statement to change the theme of the notebook:
!jt -t [theme name]
To restore the default theme of the notebook, run the command line statement as !jt -r
When the theme of the notebook is changed to the above-mentioned themes, the toolbar, filename, kernel logo, is hidden by default. You can enable these options by changing the command line statement.
Enable the toolbar: !jt -t [theme name] -T
Enable the filename and logo: !jt -t [theme name] -N
Enable the kernel logo: !jt -t [theme name] -kl
To change the theme and enable the toolbar, filename, logo, kernel logo in same command line statement: !jt -t [theme name] -T -N -kl
Jupyter themes provide features to change code font, code font size, notebook font, notebook font size, pandas data frame font size, etc.
Command Line Usage: !jt [arg] [FONT or FONTSIZE]
!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]
jtplot.style() makes changes to matplotlib library rcParams dictionary so that figure aesthetics match with the chosen jupyter themes. In addition to setting the color scheme, jtplot.style() allows controlling various figure properties such as spines, grid, font scale, etc. as well as the plotting "context".
Note:jtplot style commands need to run just once in the notebook, not every time before generating the plot
Jupyter themes library is used to customize the visual elements of the user interface. It can be used to modify plots created through matplotlib. With the jupyterthemes library, you can take your visualization to the next level.
[1] Jupyter Themes GitHub repo: https://github.com/dunovank/jupyter-themes
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