@AIMPED Thanks again for your help. Uisng a contour plot and borrowing your codes, I am able to make a plot very similar to what you did above:
import plotly.graph_objects as go
import numpy as np
# data for overlay
lowT = np.asarray([35, 32, 41, 70, 79, 60, 38])
hiT = np.asarray([48, 51, 48, 82, 94, 77, 51])
# scaling the x- axis with 100
x = np.arange(0, len(lowT)) * 100
# create rectangle
arr = np.ones((100, x.max()))
y = np.arange(1, 101).reshape(100, 1)
arr = np.multiply(arr, y)
fig = go.Figure(data = go.Contour(z=arr, colorscale='bluered',
contours_coloring='heatmap', line_width=0))
fig.add_trace(
go.Scatter(
x=x,
y=hiT,
fill='none',
mode='lines',
marker=dict(color='white'),
showlegend=False
)
)
fig.add_trace(
go.Scatter(
x=x,
y=[y.max()]*len(hiT),
fill='tonexty',
fillcolor='white',
mode='lines',
marker=dict(color='white'),
showlegend=False
)
)
fig.add_trace(
go.Scatter(
x=x,
y=lowT,
fill='tozeroy',
fillcolor='white',
mode='lines',
marker=dict(color='white'),
showlegend=False
)
)
fig.update_layout(plot_bgcolor="white")
fig.show()