Iām working on a chart that works as a heatmap, but instead of a ātraditionalā color scale, I want to set a specific color to values between x and x+0.05;
The image below is a good visual example to illustrate what I want to do:
I have tried some approaches to do it but no one of them have worked.
Below is an MWE
import pandas as pd
import plotly.express as px
dict_vals = [
{"user1": None, "user2": 0.906, "user3": 0.842},
{"user1": 0.906, "user2": None, "user3": 0.527},
{"user1": 0.842, "user2": 0.527, "user3": None},
]
matrix_df=pd.DataFrame.from_dict(dict_vals)
fig = px.imshow(
matrix_df,
x=matrix_df.columns,
y=matrix_df.columns,
zmin=0.75,
zmax=0.95,
text_auto=True,
aspect="auto"
)
colors = [
"rgb(214, 11, 67)",
"rgb(255, 107, 0)",
"rgb(255, 201, 77)",
"rgb(168, 227, 0)",
"rgb(65, 175, 26)",
]
fig.update_coloraxes(
showscale=False,
colorscale=[
(0.0, colors[0]),
(0.8, colors[1]),
(0.85, colors[2]),
(0.9, colors[3]),
(0.95, colors[4]),
(1, colors[4]),
],
)
If you have any reference about how to solve this, I will be very grateful