Jupyter notebook visualization example ready.
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87
analysis/python/jupyter/notebook_example.ipynb
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87
analysis/python/jupyter/notebook_example.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import astar.data as ad\n",
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"import astar.visual as vis\n",
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"#import pylab as plt \n",
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"#import numpy as np "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Here we read data from the run directory"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"imesh = 0\n",
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"meshdir = \"/scratch/data/mvaisala/iotest/\"\n",
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"mesh = ad.read.Mesh(imesh, fdir=meshdir)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Example visualization funtion call. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"vis.slices.plot_3(mesh, mesh.uu[0], title = r'$u_x$', bitmap = False, fname = 'uux')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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