How to color each column in a heatmap individually?

📊 Plotly Python
1

Hello everyone

I used plotly.figure_factory to plot the following heatmap:

image
image708×141 15.9 KB

But what I want is to colorscale each column individually. Something like this:

image
(done in Excel)

Notice how for example in column A, the highest value 52 [A4] is darkest among column A, and value 30 [A2] is lightest, while in column D the highest value 34 [D5] is darkest among column D, and the value 8 D[3] is the lightest.

Can this be achievable in plotly?

Thank for you very much in advance!

2

I actually managed to do it with the help of this answer. I.e. by scaling each column by its max value, and providing the raw values in the ‘text’ and annotation_text arguments:

def _scale(column, new_range):
    old_range = (column.min(), column.max())
    return (((column - old_range[0]) * (new_range[1] - new_range[0])) / (old_range[1] - old_range[0])) + new_range[0]

ff.create_annotated_heatmap(z=(hm.apply(lambda col: _scale(col, (0, 1)))).values,
                            annotation_text=hm.values,
                            text=hm.values,
                            x=hm.columns.to_list(),
                            y=hm.index.to_list(),
                            hoverinfo='x+y+text',
                            colorscale='Blues')