Automargins cause imshow figure to jump around and change pixel size and labels spacing

I wasn't sure if this was a bug initially so I provided a reproducible example and closer description in the forum.

Briefly, with automargin=False, heatmaps of different figure sizes have the same pixel size:

Setting automargin=True creates figures with widely different pixel sizes and shifts where the figure appear and its whitespace (with more than just the label length):

The jumping around behavior and inconsistent pixel sizes both seem to come from a bug in how the automargins are calculated or applied. A workaround is to set automargin=False and then manually specifying how much space is needed for the labels in the margin dictionary, e.g. margin=dict(t=100, b=0, l=80, r=0) and pad the overall figure size with these numbers, e.g. height = 100 + cut * 30.

It seems like the automargins are not correctly adding their label padding to the overall figure size, so that would be my suggestion for what could be a possible solution here.

Example code:

import plotly.express as px
import numpy as np
import pandas as pd


np.random.seed(20934)
img = np.random.rand(200, 200)
for cut in [10, 50]:
    fig = px.imshow(
        img[:cut, :cut],
        height=cut * 30,
        width=cut * 30,
        x = [''.join(np.random.choice(list('qwertyuioplkjhgfdsazxcvbnm,.;[098765432'), np.random.choice(40))) for x in range(cut)],
        y = [''.join(np.random.choice(list('qwertyuioplkjhgfdsazxcvbnm,.;[098765432'), np.random.choice(40))) for x in range(cut)],
        
    )
    fig.update_layout(
        coloraxis_showscale=False,
        margin=dict(t=0, b=0, l=0, r=0),
        xaxis_nticks=cut + 1,
        yaxis_nticks=cut + 1,
    ).update_xaxes(
        automargin=False,
    ).update_yaxes(
        automargin=False,
    )
    fig.show()

从提供的 Python px.imshow 复现开始，将 automargin=True 与手动边距解决方案进行比较，并检查 x 轴和 y 轴的 automargin 行为。跟踪 update_xaxes 和 update_yaxes 所使用的 automargin 计算或应用过程。当不同大小的热力图无需手动边距即可保持一致的像素大小、位置和标签间距时，即视为完成。