[Python] 2D plots in plotly cannot show small variations

I have to plot some kind of graphs to represent the data below:

[[ 0. , 234. , 568.33333333, 881.66666667],
[ 0. , 234.66888889, 569.44555556, 865.03806017],
[ 0. , 235.33627407, 570.06910753, 849.9592539 ],
[ 0. , 235.9989178 , 570.2632452 , 836.28943309]]


I tried the below code of plotly.

import numpy as np
from plotly.subplots import make_subplots
import plotly.graph_objects as go
from pathlib import Path
import os
import plotly.io as pio

Smax = 1000
T = 1

classical_2d_without_boundary = np.array([[ 0. , 234. , 568.33333333, 881.66666667],
[ 0. , 234.66888889, 569.44555556, 865.03806017],
[ 0. , 235.33627407, 570.06910753, 849.9592539 ],
[ 0. , 235.9989178 , 570.2632452 , 836.28943309]])

n_rows, n_cols = classical_2d_without_boundary.shape
x = np.linspace(0, Smax, n_cols)
y = np.linspace(T, 0, n_rows)

x, y = np.meshgrid(x,y)
fig = make_subplots(rows= 1, cols = 1)
quantum_contour = go.Contour(
z=classical_2d_without_boundary,
x=x[0, :], # assuming x is 2D after meshgrid
y=y[:, 0], # assuming y is 2D after meshgrid
colorscale='Inferno'

)

fig.add_trace(quantum_contour, row = 1, col = 1)

fig.update_layout(
title_x=0.5,
title_font = dict(size=40),
xaxis_title="x-axis",
yaxis_title="time (Year)",
height=900,
width=855, # Earlier it was 750
xaxis_title_font = dict(size=36),
yaxis_title_font = dict(size= 36),
legend_title_font= dict(size=36),
font= dict(size=30),
paper_bgcolor ='white',

margin=dict(l=20, r=20, t=350, b=20)
)
fig.update_xaxes(title_font=dict(size=24))
fig.update_yaxes(title_font=dict(size=24))


for annotation in fig['layout']['annotations']:
annotation['font'].update(size= 40)
annotation.update(y=1.02) # Increase the y value to move the title up

# display
fig.show()


The graph obtained is as below. My problem is that small variations in values along the columns are not at all captured and visible in the graph generated. Can something be done or some other way a 2D graph can be drawn with plotly that even these variations are very clearly visible?

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