Python: How to Apply Style on Pandas Dataframe by Comparing Two Values on the Same Column but on the Different Rows?

Question

Suppose that we have this dataframe:

Value 1	Value 2	Value 3
6	5	6
6	5	10

How to apply color if values on the same column is equals but skip the first column?
In my case, column Value 2 must be colored

I have used Pandas df.apply, but the example is compare column on the same row

Asked By: yunastrian

||

Source

Answer 1

Hi, you can try like this one:

df = df.style.apply(lambda x: ['background-color: lightgreen']*len(df) if (x.iloc[0] == x.iloc[1] and x.name != 'Value1') else ['background-color: white']*len(df), axis = 0)

Answered By: Haekal Rizky Yulianto

Answer 2

You can use:

def color(s):
    return s.duplicated(keep=False).map({True: 'background-color: yellow'})

df.style.apply(color, subset=df.columns[1:], axis=0)

output:

Answered By: mozway

Answer 3

Use:

df.style.apply(lambda x: np.where(np.ones(len(x), dtype=bool) * x.nunique() == 1, 
              'background-color: yellow', ''), 
               subset=df.columns[1:], 
               axis=0)

Answered By: jezrael

Python: How to Apply Style on Pandas Dataframe by Comparing Two Values on the Same Column but on the Different Rows?

Question:

Answers: