Matplotlib

%pip install ipywidgets

import numpy as np
import matplotlib.pyplot as plt
from ipywidgets import interact, interactive
from IPython.display import display

import numpy as np

from matplotlib import pyplot as plt

def plot(colormap):

    fig = plt.figure()
    n = 100_000
    x = np.random.standard_normal(n)
    y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
    xlim = x.min(), x.max()
    ylim = y.min(), y.max()

    ax0 = plt.axes()

    hb = plt.hexbin(x, y, gridsize=50, bins='log', cmap=colormap)
    ax0.set(xlim=xlim, ylim=ylim)
    ax0.set_title("With a log color scale")
    fig.colorbar(hb, ax=ax0, label='log10(N)')
    plt.show()

w = interactive(plot, colormap=[ 'viridis', 'plasma', 'inferno', 'magma', 'cividis'])
display(w)