{
"cells": [
{
"cell_type": "markdown",
"id": "cdcd865c-1264-413f-b317-452953ebb5f8",
"metadata": {},
"source": [
"### Try this notebook in Google Colab, Binder or SageMaker!\n",
"\n",
"[](https://colab.research.google.com/github/InsightSoftwareConsortium/itkwidgets/blob/main/examples/NumPyArrayPointSet.ipynb)\n",
"[](https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/HEAD?labpath=examples%2FNumPyArrayPointSet.ipynb)\n",
"[](https://studiolab.sagemaker.aws/import/github.com/InsightSoftwareConsortium/itkwidgets/blob/main/examples/NumPyArrayPointSet.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "492c7f7a-b291-4f01-9c85-9fea9da52fcc",
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"\n",
"!{sys.executable} -m pip install -q \"itkwidgets[all]>=1.0a23\""
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ee6c9cad-31f9-4adc-8740-6bb2103ade97",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"from itkwidgets import view"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "684615f0-f389-460f-8de6-6e3fc986d022",
"metadata": {},
"outputs": [],
"source": [
"number_of_points = 3000\n",
"gaussian_mean = [0.0, 0.0, 0.0]\n",
"gaussian_cov = [[1.0, 0.0, 0.0], [0.0, 2.0, 0.0], [0.0, 0.0, 0.5]]\n",
"point_set = np.random.multivariate_normal(gaussian_mean, gaussian_cov, number_of_points)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "77eddd48-d365-43f0-8025-4ace104ca387",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" 
\n",
" \n",
" "
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""
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},
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{
"data": {
"application/javascript": [
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"source": [
"viewer = view(point_set)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "83dfad1a-7199-4647-81da-57ce7cb1088e",
"metadata": {},
"outputs": [],
"source": [
"number_of_points_2 = 3000\n",
"gaussian_mean_2 = [0.5, 1.0, 0.0]\n",
"gaussian_cov_2 = [[1.0, 0.0, 0.0], [0.0, 2.0, 0.0], [0.0, 0.0, 0.5]]\n",
"point_set_2 = np.random.multivariate_normal(gaussian_mean, gaussian_cov, number_of_points)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "5eac65f8-e50f-4ba6-bd27-4386739ca805",
"metadata": {},
"outputs": [],
"source": [
"viewer.add_point_set(point_set_2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6a6cb39a-de85-4dce-b4c4-f9a0f9d6712e",
"metadata": {},
"outputs": [],
"source": []
}
],
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"language": "python",
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"name": "python",
"nbconvert_exporter": "python",
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