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shao
2024-03-02 17:31:06 +08:00
{
"cells": [
{
"cell_type": "code",
shao
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"execution_count": 2,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"import plotly.graph_objects as go\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
shao
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"execution_count": 3,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"data = pd.read_csv('./data/mt_bruno_elevation.csv')\n",
"del data['index']"
]
},
{
"cell_type": "code",
shao
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"execution_count": 4,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
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},
shao
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"execution_count": 4,
shao
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
shao
2024-03-12 21:03:05 +08:00
"execution_count": 5,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"height = data.values"
]
},
{
"cell_type": "code",
shao
2024-03-12 21:03:05 +08:00
"execution_count": 6,
shao
2024-03-02 17:31:06 +08:00
"metadata": {
"pycharm": {
"name": "#%%\n"
}
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shao
2024-03-12 21:03:05 +08:00
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shao
2024-03-02 17:31:06 +08:00
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"surface = go.Surface(z = height)\n",
"fig = go.Figure(surface)\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## customized surface"
]
},
{
"cell_type": "code",
shao
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"execution_count": 7,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
shao
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"execution_count": 8,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"x = np.arange(-5, 6)\n",
"y = np.arange(-5, 6)"
]
},
{
"cell_type": "code",
shao
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"execution_count": 9,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"xv, yv = np.meshgrid(x, y)"
]
},
{
"cell_type": "code",
shao
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"execution_count": 10,
shao
2024-03-02 17:31:06 +08:00
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": "array([[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],\n [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]])"
},
shao
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"execution_count": 10,
shao
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"xv"
]
},
{
"cell_type": "code",
shao
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"execution_count": 11,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": "array([[-5, -5, -5, -5, -5, -5, -5, -5, -5, -5, -5],\n [-4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4],\n [-3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3],\n [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2],\n [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],\n [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2],\n [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4],\n [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]])"
},
shao
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"execution_count": 11,
shao
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"metadata": {},
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],
"source": [
"yv"
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},
{
"cell_type": "code",
shao
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"execution_count": 12,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": "array([[50, 41, 34, 29, 26, 25, 26, 29, 34, 41, 50],\n [41, 32, 25, 20, 17, 16, 17, 20, 25, 32, 41],\n [34, 25, 18, 13, 10, 9, 10, 13, 18, 25, 34],\n [29, 20, 13, 8, 5, 4, 5, 8, 13, 20, 29],\n [26, 17, 10, 5, 2, 1, 2, 5, 10, 17, 26],\n [25, 16, 9, 4, 1, 0, 1, 4, 9, 16, 25],\n [26, 17, 10, 5, 2, 1, 2, 5, 10, 17, 26],\n [29, 20, 13, 8, 5, 4, 5, 8, 13, 20, 29],\n [34, 25, 18, 13, 10, 9, 10, 13, 18, 25, 34],\n [41, 32, 25, 20, 17, 16, 17, 20, 25, 32, 41],\n [50, 41, 34, 29, 26, 25, 26, 29, 34, 41, 50]])"
},
shao
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"execution_count": 12,
shao
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"z = xv**2 + yv**2\n",
"z"
]
},
{
"cell_type": "code",
shao
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"execution_count": 13,
shao
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"metadata": {
"pycharm": {
"name": "#%%\n"
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},
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},
shao
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"text/html": "<div> <div id=\"e2156342-97f5-4acc-899d-ded3c441dd93\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"e2156342-97f5-4acc-899d-ded3c441dd93\")) { Plotly.newPlot( \"e2156342-97f5-4acc-899d-ded3c441dd93\", [{\"x\":[[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5],[-5,-4,-3,-2,-1,0,1,2,3,4,5]],\"y\":[[-5,-5,-5,-5,-5,-5,-5,-5,-5,-5,-5],[-4,-4,-4,-4,-4,-4,-4,-4,-4,-4,-4],[-3,-3,-3,-3,-3,-3,-3,-3,-3,-3,-3],[-2,-2,-2,-2,-2,-2,-2,-2,-2,-2,-2],[-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1],[0,0,0,0,0,0,0,0,0,0,0],[1,1,1,1,1,1,1,1,1,1,1],[2,2,2,2,2,2,2,2,2,2,2],[3,3,3,3,3,3,3,3,3,3,3],[4,4,4,4,4,4,4,4,4,4,4],[5,5,5,5,5,5,5,5,5,5,5]],\"z\":[[50,41,34,29,26,25,26,29,34,41,50],[41,32,25,20,17,16,17,20,25,32,41],[34,25,18,13,10,9,10,13,18,25,34],[29,20,13,8,5,4,5,8,13,20,29],[26,17,10,5,2,1,2,5,10,17,26],[25,16,9,4,1,0,1,4,9,16,25],[26,17,10,5,2,1,2,5,10,17,26],[29,20,13,8,5,4,5,8,13,20,29],[34,25,18,13,10,9,10,13,18,25,34],[41,32,25,20,17,16,17,20,25,32,41],[50,41,34,29,26,25,26,29,34,41,50]],\"type\":\"surface\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333
shao
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},
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}
],
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},
{
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shao
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"execution_count": 13,
shao
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