I wanted to create a heatmap of a probability density matrix using plotly.
import numpy as np
from plotly.offline import download_plotlyjs, init_notebook_mode, plot
import plotly.graph_objs as go
probability_matrix = np.loadtxt("/path/to/file")
trace = go.Heatmap(z = probability_matrix)
data=[trace]
plot(data, filename='basic-heatmap')
This gives me an image like this:
I want to smoothen the color of the squares so that the transition between adjacent squares in the image are somewhat "smoother". I was wondering if there is a way of doing that, without manually resizing the matrix using interpolation.
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