I am using Plotly and Python 3 for data visualization. It is known to me that default number of colors in Plotly is 10 and are repeated in cycle if more elements than 10.
I do not want to use this approach to bring more colors in my 3D scattegram: How to create discrete colormap with n colors using Plotly cause the colors look too similar.
I am looking for a solution that would assign one unique qualitative color to each element (cluster) in my code. Here is my code:
fig_tSNE = px.scatter_3d(x = projections[:,0],
y = projections[:,1],
z = projections[:,2],
color = to_be_plotted['Cluster'],
color_discrete_sequence = px.colors.sequential.PuBu)
Thanks for help.
As Alec said in the comment, you can build your color palette. Alternatively, you can use one of the available discrete color maps.
import plotly.express as px
import numpy as np
n = 100
ncat = 20
xx = np.random.uniform(-10, 10, n)
yy = np.random.uniform(-10, 10, n)
zz = np.random.uniform(-10, 10, n)
cc = np.random.uniform(0, ncat, n).astype(int).astype(str)
px.scatter_3d(x=xx, y=yy, z=zz, color=cc, color_discrete_sequence=px.colors.qualitative.Alphabet)