Created
March 26, 2024 14:33
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# Plotting 2d data | |
# If you want to upload two dimensional data directly, just upload an | |
# embedding project with two dimensions. Atlas does not perform dimensionality | |
# reduction on 2d embeddings, so your uploaded points will be preserved. | |
# Clifford attractor function simplified from https://examples.holoviz.org/gallery/attractors/attractors.html | |
import numpy as np, pandas as pd | |
from math import sin, cos | |
from nomic.atlas import map_data | |
n=100_000 | |
def Clifford(x, y, a, b, c, d, *o): | |
return sin(a * y) + c * cos(a * x), \ | |
sin(b * x) + d * cos(b * y) | |
def trajectory_coords(fn, x0, y0, a, b=0, c=0, d=0, e=0, f=0, n=n): | |
x, y = np.zeros(n), np.zeros(n) | |
x[0], y[0] = x0, y0 | |
for i in np.arange(n-1): | |
x[i+1], y[i+1] = fn(x[i], y[i], a, b, c, d, e, f) | |
return x,y | |
def trajectory(fn, x0, y0, a, b=0, c=0, d=0, e=0, f=0, n=n): | |
x, y = trajectory_coords(fn, x0, y0, a, b, c, d, e, f, n) | |
return np.stack([x, y], axis=1) | |
path = trajectory(Clifford, 0, 0, -1.3, -1.3, -1.8, -1.9) | |
base = path[:-2] | |
combined = pd.DataFrame({ | |
'base.x': path[:-2,0], | |
'base.y': path[:-2,1], | |
'next.x': path[1:-1,0], | |
'next.y': path[1:-1,1], | |
'last.x': path[2:,0], | |
'last.y': path[2:,1], | |
}) | |
map_data(data=combined, embeddings=base, identifier="bmschmidt/clifford", description="Clifford Attractor", topic_model=False) |
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