pandas: HTML output with conditional formatting

Question

I am trying to format a table, such that data in each column are formatted in a style depending on their values (similar to conditional formatting in spreadsheet programs).

Answer 1

Since pandas 0.17.1, it is easy to apply custom formatting to the data frame HTML representation using the styling api.

import pandas as pd

df = pd.DataFrame({
    'correlation':[0.5, 0.1,0.9],
    'p_value':[0.1,0.8,0.01]})
styled_df = df.style.apply(
    lambda x: ['font-weight: bold; background-color: yellow'
               if value <= 0.01 else '' for value in x])
styled_df

The output is rendered automatically in interfaces such as the Jupyter Notebook and the string representation of the HTML can be returned with the render() method.

print(styled_df.render())

  
 
    
 
        
 
        
correlation
 
        
p_value
 
    
 
    
 
        
0
 
        
0.5
 
        
0.1
 
    
    
 
        
1
 
        
0.1
 
        
0.8
 
    
    
 
        
2
 
        
0.9
 
        
0.01