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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"## Surface Animation with slider ##" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"from plotly.offline import download_plotlyjs, init_notebook_mode, iplot, plot\n", | |
"init_notebook_mode(connected=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"u = np.linspace(-8, 8, 100)\n", | |
"x, y = np.meshgrid(u, u)\n", | |
"r = np.sqrt(x**2+y**2)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"t = np.linspace(0, np.pi*2, 37)\n", | |
"z = np.array([(np.cos(r + s) * np.exp(-r/5)) for s in t])\n", | |
"zmin=np.min(z)\n", | |
"zmax=np.max(z)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"pl_ice=[[0.0, 'rgb(3, 5, 18)'],#cmocean\n", | |
" [0.11, 'rgb(27, 26, 54)'],\n", | |
" [0.22, 'rgb(48, 46, 95)'],\n", | |
" [0.33, 'rgb(60, 66, 136)'],\n", | |
" [0.44, 'rgb(62, 93, 168)'],\n", | |
" [0.56, 'rgb(66, 122, 183)'],\n", | |
" [0.67, 'rgb(82, 149, 192)'],\n", | |
" [0.78, 'rgb(106, 177, 203)'],\n", | |
" [0.89, 'rgb(140, 203, 219)'],\n", | |
" [1, 'rgb(188, 227, 235)']\n", | |
" ]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"data=[dict(type='surface',\n", | |
" x=x, \n", | |
" y=y, \n", | |
" z=np.cos(r) * np.exp(-r/5),\n", | |
" colorscale=pl_ice, \n", | |
" showscale=False,\n", | |
" )]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"axis = dict(showbackground=True, \n", | |
" backgroundcolor=\"rgb(230, 230,230)\",\n", | |
" gridcolor=\"rgb(255, 255, 255)\", \n", | |
" zerolinecolor=\"rgb(255, 255, 255)\", \n", | |
" )" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"frames=[dict(data= [ dict(z=z[k])],\n", | |
" traces= [0],\n", | |
" name='frame{}'.format(k) \n", | |
" ) for k in range(t.shape[0])]\n", | |
" " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"sliders=[dict(steps= [dict(method= 'animate',#Sets the Plotly method to be called when the\n", | |
" #slider value is changed.\n", | |
" args= [[ 'frame{}'.format(k) ],#Sets the arguments values to be passed to \n", | |
" #the Plotly method set in method on slide\n", | |
" dict(mode= 'immediate',\n", | |
" frame= dict( duration=50, redraw= False ),\n", | |
" transition=dict( duration= 0)\n", | |
" )\n", | |
" ],\n", | |
" label='{:.2f}'.format(t[k])\n", | |
" ) for k in range(t.shape[0])], \n", | |
" transition= dict(duration= 0 ),\n", | |
" x=0,#slider starting position \n", | |
" y=0, \n", | |
" currentvalue=dict(font=dict(size=12), \n", | |
" prefix='Time: ', \n", | |
" visible=True, \n", | |
" xanchor= 'center'\n", | |
" ), \n", | |
" len=1.0)#slider length)\n", | |
" ]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"layout = dict(title='Animating a 2d wave',\n", | |
" autosize=False,\n", | |
" width=600,\n", | |
" height=600,\n", | |
" showlegend=False,\n", | |
" scene=dict(camera = dict(eye=dict(x=1.25, y=0.9, z=1.1)),\n", | |
" aspectratio=dict(x=1, y=1, z=0.5),\n", | |
" xaxis=dict(axis),\n", | |
" yaxis=dict(axis), \n", | |
" zaxis=dict(axis, **{'range':[zmin, zmax]}),\n", | |
" \n", | |
" ),\n", | |
" updatemenus=[dict(type='buttons', showactive=False,\n", | |
" y=0,\n", | |
" x=1.15,\n", | |
" xanchor='right',\n", | |
" yanchor='top',\n", | |
" pad=dict(t=0, r=10),\n", | |
" buttons=[dict(label='Play',\n", | |
" method='animate',\n", | |
" args=[None, \n", | |
" dict(frame=dict(duration=30, \n", | |
" redraw=False),\n", | |
" transition=dict(duration=0),\n", | |
" fromcurrent=True,\n", | |
" mode='immediate'\n", | |
" )\n", | |
" ]\n", | |
" )\n", | |
" ]\n", | |
" )\n", | |
" ],\n", | |
" sliders=sliders\n", | |
" \n", | |
")\n", | |
"\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"fig=dict(data=data, layout=layout, frames=frames)\n", | |
"plot(fig) #if you want use iplot uncomment the line below:\n", | |
"#iplot(fig, validate=False)#validate=False is needed since there is an issue in offline.iplot:\n", | |
" #https://github.com/plotly/plotly.py/issues/702" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python [default]", | |
"language": "python", | |
"name": "python2" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 2 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.13" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} | |
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