Overview

This is a method to change the default appearance (style / CSS) of the data frame pandas.DataFrame output via the IPython.display module in GoogleColab.

In addition, we have confirmed the operation with GoogelChrome.

Change data frame style

If you execute the following in the code cell of GoogleColab.

`python`


import pandas as pd
df = pd.DataFrame([[1, 2, 3],[4, 5, 6],[7, 8, 9]],
                  columns=['Osaka','Tokyo','Aichi'])
display(df)

A data frame ** formatted using HTML ** table elements is output as follows:

If you want to customize the style (CSS) of this table, insert code like this: After that, the CSS specified in the code will be applied to the ** data frame (HTML table element) output via ʻIPython.display (...)` **.

`Change the CSS applied to the output of the data frame`


import IPython

def set_css_in_cell_output():
  display(IPython.display.HTML('''<style>
  table.dataframe td, table.dataframe th{
    border:1px solid #dadada;
  }
  table.dataframe th{
    font-family: 'Roboto','Noto',sans-serif;
    background: #eeeeee;
    font-weight: bold;
  }
  table.dataframe td{
    background: #ffffff;
  }
  table.dataframe tbody tr:hover th{
    color: #ffffff;
    background-color:#4169e1;
  }
  table.dataframe tr:hover td{
    background-color: #d7eeff;
  }
  </style>'''))

get_ipython().events.register('pre_run_cell', set_css_in_cell_output)

From now on, the dataframe will be output as follows (all tables are now bordered and the header font and mouseover color will change):

Conditional formatting

It seems to use DataFrame.style if you want to apply ** conditional formatting **, such as changing the color according to the number in the cell.

User Guide :: Styling @ pandas.pydata.org

Reference material

How to import CSS file into Google Colab notebook (Python3) @ stackoverflow

[PYTHON] Changed the default style (CSS) of pandas data frame output by display in Google Colab