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"import numpy as np\n",
"import sklearn as sk\n",
"import pandas as pd\n",
"import plotly.graph_objects as go\n",
"import math"
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"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
}
}
},
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# generate differencing value of cosine data\n",
"velocity = np.diff(y, n=1)\n",
"acceleration = np.diff(y, n=2)\n",
"# generate scatter plot from velocity, acceleration with plotly in one figure\n",
"fig = go.Figure()\n",
"fig = go.Figure(data=go.Scatter(x=x, y=y, name='positionvector'))\n",
"fig.add_trace(go.Scatter(x=x[1:], y=velocity, name='velocity'))\n",
"fig.add_trace(go.Scatter(x=x[2:], y=acceleration, name='acceleration'))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[-0.00994175 -0.0097925 -0.00954541 -0.00920294 -0.00876851 -0.00824648\n",
" -0.00764205 -0.00696126 -0.00621092 -0.00539852 -0.00453218 -0.00362056\n",
" -0.00267276 -0.00169826 -0.00070678 0.00029175 0.00128737 0.00227013\n",
" 0.0032302 0.004158 0.00504426 0.00588011 0.00665721 0.00736779\n",
" 0.00800476 0.00856175 0.00903319 0.00941437 0.00970149 0.00989168\n",
" 0.00998303 0.00997463 0.00986657 0.00965993 0.00935677 0.00896011\n",
" 0.00847394 0.00790309 0.00725328 0.00653099 0.00574345 0.00489852\n",
" 0.00400465 0.00307077 0.0021062 0.00112059 0.00012378 -0.00087426\n",
" -0.00186357 -0.00283426 -0.00377663 -0.00468126 -0.00553913 -0.00634164\n",
" -0.00708079 -0.0077492 -0.00834017 -0.00884782 -0.00926706 -0.0095937\n",
" -0.00982449]\n"
]
}
],
"source": [
"print(acceleration)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.0"
},
"orig_nbformat": 4
},
"nbformat": 4,
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}