Display pandas dataframe with larger font in jupyter notebook

Question

I have a small-shaped (5 rows, 3 columns) dataframe which I can display by calling df in jupyter cell. I would like to enlarge (font size) this output for presentation purpose. Is it possible?

Answer 1

In order to change the default HTML style for all dataframes in a notebook and not having to apply the style individually to each dataframe, you have two options:

1. For a single notebook use the magic function %%html:

   In the first cell of your notebook put

   %%html
   <style>
   /* Any CSS style can go in here. */
   .dataframe th {
       font-size: 18px;
   }
   .dataframe td {
       font-size: 16px;
   }
   </style>
   

2. For all notebooks adjust the Jupyter CSS style:

   Add the CSS style information

   .dataframe th {
       font-size: 18px;
   }
   .dataframe td {
       font-size: 16px;
   }
   

   to one of the following files:

   • Jupyter Notebook:

     $HOME/.jupyter/custom/custom.css

   • JupyterLab (depending on the theme):

     $HOME/anaconda3/envs/[ENVIRONMENT NAME]/share/jupyter/lab/themes/@jupyterlab/theme-dark-extension/index.css

     or

     $HOME/anaconda3/envs/[ENVIRONMENT NAME]/share/jupyter/lab/themes/@jupyterlab/theme-light-extension/index.css

     For the JupyterLab the custom.css is unfortunateley not used, so I do not see another way to change the CSS.

Answer 2

You can play around with styles using df.style.set_table_styles()

This might help:

heading_properties = [('font-size', '18px')]

cell_properties = [('font-size', '16px')]

dfstyle = [dict(selector="th", props=heading_properties),\
 dict(selector="td", props=cell_properties)]

df.style.set_table_styles(dfstyle)