有没有一种方法可以用python中的可滚动地图来可视化大型的2d数组？

import plotly.graph_objects as go
from ipywidgets import interact, IntSlider
import numpy as np

# 创建一个大型二维数组作为示例
large_2d_array = np.random.rand(100, 100)

# 定义一个函数来显示数组的一部分
def display_map(x_start, x_end, y_start, y_end):
    fig = go.Figure(data=go.Heatmap(
                   z=large_2d_array[x_start:x_end, y_start:y_end],
                   colorscale='Viridis'))
    fig.update_layout(title='Scrollable Map View',
                      xaxis_title='X Axis',
                      yaxis_title='Y Axis')
    fig.show()

# 创建滑块小部件来控制可视化的区域
interact(display_map, 
         x_start=IntSlider(min=0, max=large_2d_array.shape[0]-10, step=1, value=0),
         x_end=IntSlider(min=10, max=large_2d_array.shape[0], step=1, value=10),
         y_start=IntSlider(min=0, max=large_2d_array.shape[1]-10, step=1, value=0),
         y_end=IntSlider(min=10, max=large_2d_array.shape[1], step=1, value=10))