比较行值与列名并突出显示 Pandas 中的相交单元格

Question

I have a dataset like this and i want to highlight the intersecting cell based on the date1 and date2 value in a row and the corresponding column name input dataset

sample output

Answer 1

My comment was actually incorrect. Pandas does offer conditional formatting / conditional styling for output in Jupyter notebooks. The documentation is here: https://pandas.pydata.org/pandas-docs/stable/user_guide/style.html

There are actually several ways to implement this, but the simplest way is to check the value of, and set the style for, each individual cell.

data = pd.DataFrame({
    'x': [1, 2, 3, 4],
    'y': [19, 10, 11, 12]
})

def yellow_highlight_max(series):
    is_max_val = series == series.max()
    return is_max_val.map({True: 'background-color: yellow', False: ''}).tolist()

data.style.apply(yellow_highlight_max)

You should carefully consult the documentation for your desired usage.