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January 27, 2022 08:14
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{ | |
"cells": [ | |
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"import numpy as np \n", | |
"import pandas as pd\n", | |
"import plotly.express as px\n" | |
] | |
}, | |
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"array([[ 1. , -0.8, 0. ],\n", | |
" [ 0. , 1. , 0. ],\n", | |
" [ 1. , 0. , 0. ]])" | |
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}, | |
"execution_count": 2, | |
"metadata": {}, | |
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"# create a numpy array of the xyz coordinates of 3 pts\n", | |
"A = np.array(\n", | |
" [[1, -0.8, 0], \n", | |
" [0, 1, 0], \n", | |
" [1, 0, 0]]\n", | |
")\n", | |
"\n", | |
"A\n" | |
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"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
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" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>x</th>\n", | |
" <th>y</th>\n", | |
" <th>z</th>\n", | |
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" <tbody>\n", | |
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" <td>1.0</td>\n", | |
" <td>-0.8</td>\n", | |
" <td>0.0</td>\n", | |
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" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
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" <tr>\n", | |
" <th>2</th>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
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" x y z\n", | |
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}, | |
"execution_count": 3, | |
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"# turn numpy array into pandas dataframe\n", | |
"A_df = pd.DataFrame(A, columns=['x', 'y', 'z'])\n", | |
"A_df\n" | |
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"scene": { | |
"xaxis": { | |
"backgroundcolor": "rgb(17,17,17)", | |
"gridcolor": "#506784", | |
"gridwidth": 2, | |
"linecolor": "#506784", | |
"showbackground": true, | |
"ticks": "", | |
"zerolinecolor": "#C8D4E3" | |
}, | |
"yaxis": { | |
"backgroundcolor": "rgb(17,17,17)", | |
"gridcolor": "#506784", | |
"gridwidth": 2, | |
"linecolor": "#506784", | |
"showbackground": true, | |
"ticks": "", | |
"zerolinecolor": "#C8D4E3" | |
}, | |
"zaxis": { | |
"backgroundcolor": "rgb(17,17,17)", | |
"gridcolor": "#506784", | |
"gridwidth": 2, | |
"linecolor": "#506784", | |
"showbackground": true, | |
"ticks": "", | |
"zerolinecolor": "#C8D4E3" | |
} | |
}, | |
"shapedefaults": { | |
"line": { | |
"color": "#f2f5fa" | |
} | |
}, | |
"sliderdefaults": { | |
"bgcolor": "#C8D4E3", | |
"bordercolor": "rgb(17,17,17)", | |
"borderwidth": 1, | |
"tickwidth": 0 | |
}, | |
"ternary": { | |
"aaxis": { | |
"gridcolor": "#506784", | |
"linecolor": "#506784", | |
"ticks": "" | |
}, | |
"baxis": { | |
"gridcolor": "#506784", | |
"linecolor": "#506784", | |
"ticks": "" | |
}, | |
"bgcolor": "rgb(17,17,17)", | |
"caxis": { | |
"gridcolor": "#506784", | |
"linecolor": "#506784", | |
"ticks": "" | |
} | |
}, | |
"title": { | |
"x": 0.05 | |
}, | |
"updatemenudefaults": { | |
"bgcolor": "#506784", | |
"borderwidth": 0 | |
}, | |
"xaxis": { | |
"automargin": true, | |
"gridcolor": "#283442", | |
"linecolor": "#506784", | |
"ticks": "", | |
"title": { | |
"standoff": 15 | |
}, | |
"zerolinecolor": "#283442", | |
"zerolinewidth": 2 | |
}, | |
"yaxis": { | |
"automargin": true, | |
"gridcolor": "#283442", | |
"linecolor": "#506784", | |
"ticks": "", | |
"title": { | |
"standoff": 15 | |
}, | |
"zerolinecolor": "#283442", | |
"zerolinewidth": 2 | |
} | |
} | |
} | |
} | |
} | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# plot the points in 3d scatter plot\n", | |
"fig_3pts = px.scatter_3d(\n", | |
" A_df,\n", | |
" x = 'x', \n", | |
" y = 'y',\n", | |
" z = 'z',\n", | |
" template = 'plotly_dark', \n", | |
")\n", | |
"\n", | |
"# camera_topView = dict(\n", | |
"# up = dict(x=0, y=1, z=0), \n", | |
"# eye = dict(x=0., y=0., z=2.0), \n", | |
"# )\n", | |
"\n", | |
"fig_3pts.update_layout(\n", | |
" height=800, \n", | |
" scene=dict(\n", | |
" aspectmode ='cube', \n", | |
" aspectratio = dict(x=1, y=1, z=1), \n", | |
" xaxis = dict(range=[0, 2], nticks=5, ticks='outside', tickwidth=5, tickcolor='yellow'), \n", | |
" yaxis = dict(range=[-1, 1], nticks=5), \n", | |
" zaxis = dict(range=[-1, 1], nticks=5), \n", | |
" ),\n", | |
"# scene_camera=camera_topView,\n", | |
")\n", | |
"\n", | |
"fig_3pts.update_traces(\n", | |
" marker_size = 5,\n", | |
")\n", | |
"\n", | |
"fig_3pts.update_scenes(\n", | |
" xaxis_autorange='reversed', \n", | |
" yaxis_autorange='reversed', \n", | |
" camera_projection_type='orthographic', \n", | |
")\n", | |
"\n", | |
"fig_3pts.show()\n", | |
"fig_3pts.write_html('./fig_3pts.html')\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"interpreter": { | |
"hash": "81684d8f5a970c8c0e02f404d54936361cc66a1d7985f3e531d0b89818a6c4f6" | |
}, | |
"kernelspec": { | |
"display_name": "Python 3.8.10 64-bit ('pytorch3d': conda)", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.8.10" | |
}, | |
"orig_nbformat": 4 | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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