Heatmap with multiple colormaps by column

I have a dataframe where each column contains values considered "normal" if they fall within an interval, which is different for every column:

# The main dfdf = pd.DataFrame({"A": [20, 10, 7, 39], "B": [1, 8, 12, 9], "C": [780, 800, 1200, 250]})

The df_info represents the intervals for each column of df.So for example df_info["A"][0] is the min for the column df["A"] and df_info["A"][1] represents the max for the column df["A"] and so on.

df_info =  pd.DataFrame({"A": [22, 35], "B": [5, 10], "C": [850, 900]})

Thanks to this SO Answer I was able to create a custom heatmap to print in blue values below the range, in red value above the range and in white values within the range. Just remember each column has a different range. SO i normalized according to this:

df_norm = pd.DataFrame()for col in df:    col_min = df_info[col][0]    col_max = df_info[col][1]    df_norm[col] = (df[col] - col_min) / (col_max - col_min)

And finally printed my heatmap

vmin = df_norm.min().min()vmax = df_norm.max().max()norm_zero = (0 - vmin) / (vmax - vmin)norm_one = (1 - vmin) / (vmax - vmin)colors = [[0, 'darkblue'],            [norm_zero, 'white'],            [norm_one, 'white'],            [1, 'darkred']            ]cmap = LinearSegmentedColormap.from_list('', colors, )fig, ax = plt.subplots()ax=sns.heatmap(data=data,             annot=True,            annot_kws={'size': 'large'},            mask=None,            cmap=cmap,            vmin=vmin,            vmax=vmax) \        .set_facecolor('white')

In the example you can see that the third column has values much higher/lower compared to the the 0-1 interval (and to the first column) so they "absorb" all the shades of red and blue.

QUESTION:What I want to obtain is use the entire shades of red/blue for each column or at least to reduce the perceptual difference between (for example) the first and third column.

I had tough of:

1. create a custom colormap where each colormap normalization is performed by column
2. use multiple colormaps, each one applied to a different column
3. applying a colormap mpl.colors.LogNorm but I'm not sure how to use it with my custom LinearSegmentedColormap