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t,i,o,a;if(r)for(i=0,o=b(this),a=yt(e);t=a[i++];)o.hasClass(t)?o.removeClass(t):o.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=vt(this))&&G.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":G.get(this,\"__className__\")||\"\"))}))},hasClass:function(e){var t,n,r=0;for(t=\" \"+e+\" \";n=this[r++];)if(1===n.nodeType&&(\" \"+gt(vt(n))+\" \").indexOf(t)>-1)return!0;return!1}});var mt=/\\r/g;b.fn.extend({val:function(e){var t,n,r,i=this[0];return arguments.length?(r=h(e),this.each((function(n){var i;1===this.nodeType&&(null==(i=r?e.call(this,n,b(this).val()):e)?i=\"\":\"number\"==typeof i?i+=\"\":Array.isArray(i)&&(i=b.map(i,(function(e){return null==e?\"\":e+\"\"}))),(t=b.valHooks[this.type]||b.valHooks[this.nodeName.toLowerCase()])&&\"set\"in t&&void 0!==t.set(this,i,\"value\")||(this.value=i))}))):i?(t=b.valHooks[i.type]||b.valHooks[i.nodeName.toLowerCase()])&&\"get\"in t&&void 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o,a,s,u,l,f,p,d,y=[r||v],m=c.call(t,\"type\")?t.type:t,x=c.call(t,\"namespace\")?t.namespace.split(\".\"):[];if(a=d=s=r=r||v,3!==r.nodeType&&8!==r.nodeType&&!xt.test(m+b.event.triggered)&&(m.indexOf(\".\")>-1&&(x=m.split(\".\"),m=x.shift(),x.sort()),l=m.indexOf(\":\")<0&&\"on\"+m,(t=t[b.expando]?t:new b.Event(m,\"object\"==typeof t&&t)).isTrigger=i?2:3,t.namespace=x.join(\".\"),t.rnamespace=t.namespace?new RegExp(\"(^|\\\\.)\"+x.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"):null,t.result=void 0,t.target||(t.target=r),n=null==n?[t]:b.makeArray(n,[t]),p=b.event.special[m]||{},i||!p.trigger||!1!==p.trigger.apply(r,n))){if(!i&&!p.noBubble&&!g(r)){for(u=p.delegateType||m,xt.test(u+m)||(a=a.parentNode);a;a=a.parentNode)y.push(a),s=a;s===(r.ownerDocument||v)&&y.push(s.defaultView||s.parentWindow||e)}for(o=0;(a=y[o++])&&!t.isPropagationStopped();)d=a,t.type=o>1?u:p.bindType||m,(f=(G.get(a,\"events\")||Object.create(null))[t.type]&&G.get(a,\"handle\"))&&f.apply(a,n),(f=l&&a[l])&&f.apply&&X(a)&&(t.result=f.apply(a,n),!1===t.result&&t.preventDefault());return t.type=m,i||t.isDefaultPrevented()||p._default&&!1!==p._default.apply(y.pop(),n)||!X(r)||l&&h(r[m])&&!g(r)&&((s=r[l])&&(r[l]=null),b.event.triggered=m,t.isPropagationStopped()&&d.addEventListener(m,bt),r[m](),t.isPropagationStopped()&&d.removeEventListener(m,bt),b.event.triggered=void 0,s&&(r[l]=s)),t.result}},simulate:function(e,t,n){var r=b.extend(new b.Event,n,{type:e,isSimulated:!0});b.event.trigger(r,null,t)}}),b.fn.extend({trigger:function(e,t){return this.each((function(){b.event.trigger(e,t,this)}))},triggerHandler:function(e,t){var n=this[0];if(n)return b.event.trigger(e,t,n,!0)}}),d.focusin||b.each({focus:\"focusin\",blur:\"focusout\"},(function(e,t){var n=function(e){b.event.simulate(t,e.target,b.event.fix(e))};b.event.special[t]={setup:function(){var r=this.ownerDocument||this.document||this,i=G.access(r,t);i||r.addEventListener(e,n,!0),G.access(r,t,(i||0)+1)},teardown:function(){var r=this.ownerDocument||this.document||this,i=G.access(r,t)-1;i?G.access(r,t,i):(r.removeEventListener(e,n,!0),G.remove(r,t))}}}));var wt=e.location,Tt={guid:Date.now()},Ct=/\\?/;b.parseXML=function(t){var n;if(!t||\"string\"!=typeof t)return null;try{n=(new e.DOMParser).parseFromString(t,\"text/xml\")}catch(e){n=void 0}return n&&!n.getElementsByTagName(\"parsererror\").length||b.error(\"Invalid XML: \"+t),n};var 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],
"text/plain": [
":Layout\n",
" .Curve.R :Curve [Time] (r)\n",
" .Curve.Z :Curve [Time] (z)\n",
" .Curve.A :Curve [Time] (a)\n",
" .Overlay.I :Overlay\n",
" .Curve.U_exStab :Curve [Time] (U_exStab)\n",
" .Curve.I_exStab :Curve [Time] (I_exStab)"
]
},
"execution_count": 17,
"metadata": {
"application/vnd.holoviews_exec.v0+json": {
"id": "1001"
}
},
"output_type": "execute_result"
}
],
"source": [
"\n",
"if exStab==True:\n",
" from bokeh.models import Range1d, LinearAxis\n",
" from bokeh.models.renderers import GlyphRenderer\n",
" def apply_formatter(plot, element):\n",
" p = plot.state\n",
" \n",
" if df_processed['I_exStab'].max()>df_processed['I_exStab'].min():\n",
" ymax=df_processed['I_exStab'].max()\n",
" else:\n",
" ymax=df_processed['I_exStab'].min()\n",
" p.extra_y_ranges = {\"twiny\": Range1d(start=-25, \n",
" end=25)}\n",
" p.add_layout(LinearAxis(y_range_name=\"twiny\"), 'left')\n",
" glyph = p.select(dict(type=GlyphRenderer))[0]\n",
" glyph.y_range_name = 'twiny'\n",
" \n",
"\n",
" plot = df_processed['r'].hvplot(title = '', ylabel='r [mm]', xlabel='', ylim=(-85, 85),height=250, width=600, grid = True) +\\\n",
" df_processed['z'].hvplot(title = '',ylabel='z [mm]', xlabel='', ylim=(-85, 85), height=250, width=600, grid=True) +\\\n",
" df_processed['a'].hvplot(title = '',ylabel='a [mm]', xlabel='Time [ms]', ylim=(-85, 85), height=250, width=600, grid = True) +\\\n",
" df_processed['U_exStab'].hvplot(title = '',ylabel='U_exStab [V]', xlabel='Time [ms]', yaxis='right', height=250, width=600,\n",
" ylim=(-max(abs(df_processed['U_exStab']))-1.5,max(abs(df_processed['U_exStab']))+1.5), grid=True) *\\\n",
" df_processed['I_exStab'].hvplot(ylabel='IexStab [A]', grid=True).opts(hooks=[apply_formatter])\n",
"\n",
" plot.cols(2)\n",
"else:\n",
" hline = hv.HLine(0)\n",
" hline.opts(\n",
" color='k', \n",
" line_dash='dashed',\n",
" alpha = 0.4,\n",
" line_width=1.0)\n",
"\n",
" layout = hv.Layout([df_processed[v].hvplot.line(\n",
" xlabel='', ylabel=l,ylim=(-85,85), xlim=(start,end),legend=False, title='', grid=True, group_label=v)\n",
" for (v, l) in [('r', ' r [mm]'), ('z', 'z [mm]'), ('a', 'a [mm]')] ])*hline\n",
"\n",
" plot=layout.cols(1).opts(hv.opts.Curve(width=600, height=200), hv.opts.Curve('a', xlabel='time [ms]'))\n",
"plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Results"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" \n",
" r \n",
" z \n",
" a \n",
" I_exStab \n",
" U_exStab \n",
" \n",
" \n",
" \n",
" \n",
" count \n",
" 15617.000000 \n",
" 15617.000000 \n",
" 15617.000000 \n",
" 16397.000000 \n",
" 16397.000000 \n",
" \n",
" \n",
" mean \n",
" 7.576659 \n",
" 20.367884 \n",
" 58.562499 \n",
" 7.709760 \n",
" 0.246164 \n",
" \n",
" \n",
" std \n",
" 39.168892 \n",
" 12.000584 \n",
" 9.071958 \n",
" 8.978544 \n",
" 0.428497 \n",
" \n",
" \n",
" min \n",
" -665.458878 \n",
" -932.419917 \n",
" 0.000000 \n",
" -4.700198 \n",
" -0.058639 \n",
" \n",
" \n",
" 25% \n",
" 2.952522 \n",
" 18.567640 \n",
" 56.606462 \n",
" -0.391683 \n",
" -0.039093 \n",
" \n",
" \n",
" 50% \n",
" 10.378940 \n",
" 22.349231 \n",
" 59.030130 \n",
" 5.483564 \n",
" 0.019546 \n",
" \n",
" \n",
" 75% \n",
" 16.960912 \n",
" 24.644764 \n",
" 61.968681 \n",
" 15.667328 \n",
" 0.938231 \n",
" \n",
" \n",
" max \n",
" 4310.918426 \n",
" 569.552057 \n",
" 79.733762 \n",
" 24.676040 \n",
" 1.016417 \n",
" \n",
" \n",
"
\n",
"
"
],
"text/plain": [
" r z a I_exStab U_exStab\n",
"count 15617.000000 15617.000000 15617.000000 16397.000000 16397.000000\n",
"mean 7.576659 20.367884 58.562499 7.709760 0.246164\n",
"std 39.168892 12.000584 9.071958 8.978544 0.428497\n",
"min -665.458878 -932.419917 0.000000 -4.700198 -0.058639\n",
"25% 2.952522 18.567640 56.606462 -0.391683 -0.039093\n",
"50% 10.378940 22.349231 59.030130 5.483564 0.019546\n",
"75% 16.960912 24.644764 61.968681 15.667328 0.938231\n",
"max 4310.918426 569.552057 79.733762 24.676040 1.016417"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_processed.describe()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" \n",
" Values \n",
" \n",
" \n",
" \n",
" \n",
" z_start \n",
" 3.40 \n",
" \n",
" \n",
" z_end \n",
" 19.02 \n",
" \n",
" \n",
" r_start \n",
" 66.98 \n",
" \n",
" \n",
" r_end \n",
" -11.46 \n",
" \n",
" \n",
" I_exStabMax \n",
" 24.68 \n",
" \n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Values\n",
"z_start 3.40\n",
"z_end 19.02\n",
"r_start 66.98\n",
"r_end -11.46\n",
"I_exStabMax 24.68"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"z_end=round(z_cut.iat[-25],2)\n",
"z_start=round(z_cut.iat[25],2)\n",
"r_end=round(r_cut.iat[-25],2)\n",
"r_start=round(r_cut.iat[25],2)\n",
"if exStab==True:\n",
" I_exStabMax= round(max(abs(IexStab_cut)),2)\n",
" name=('z_start', 'z_end', 'r_start', 'r_end', 'I_exStabMax')\n",
" values=(z_start, z_end, r_start, r_end, I_exStabMax)\n",
" data={'Values':[z_start, z_end, r_start, r_end, I_exStabMax]}\n",
" results=pd.DataFrame(data, index=name)\n",
"else:\n",
" name=('z_start', 'z_end', 'r_start', 'r_end')\n",
" values=(z_start, z_end, r_start, r_end)\n",
" data={'Values':[z_start, z_end, r_start, r_end]}\n",
" results=pd.DataFrame(data, index=name)\n",
" \n",
"dictionary='Results/'\n",
"j=0\n",
"for i in values :\n",
" with open(dictionary+name[j], 'w') as f:\n",
" f.write(str(i))\n",
" j+=1\n",
" \n",
"results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Icon fig"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"responsestab = requests.get(\"http://golem.fjfi.cvut.cz/shots/%i/Production/Parameters/PowSup4InnerStab\"%shot_no)\n",
"stab = responsestab.text\n",
"\n",
"if not '-1' in stab or 'Not Found' in stab and exStab==False:\n",
" fig, axs = plt.subplots(4, 1, sharex=True, dpi=200)\n",
" dataNI = (read_signal(shot_no, 'Rog', data_URL, 'lvm')) #data from NI\n",
" dataNI = dataNI.set_index('Time')\n",
" dataNI = dataNI.set_index(dataNI.index*1e3)\n",
" Irog = dataNI['RogQuadr']\n",
"# Irog=abs(Irog)\n",
" Irog*=1/5e-3\n",
" r.plot(grid=True, ax=axs[0])\n",
" z.plot(grid=True, ax=axs[1])\n",
" a.plot(grid=True, ax=axs[2])\n",
" Irog.plot(grid=True, ax=axs[3])\n",
" axs[3].set(xlim=(start,end), ylabel = 'I [A]')\n",
" axs[2].set(ylim=(0,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$a$ [mm]')\n",
" axs[1].set(ylim=(-85,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$\\Delta$z [mm]')\n",
" axs[0].set(ylim=(-85,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$\\Delta$r [mm]', \n",
" title = 'Horizontal, vertical plasma position and radius #{}'.format(shot_no))\n",
"\n",
"\n",
"elif exStab==True:\n",
" fig, axs = plt.subplots(4, 1, sharex=True, dpi=200)\n",
" r.plot(grid=True, ax=axs[0])\n",
" z.plot(grid=True, ax=axs[1])\n",
" a.plot(grid=True, ax=axs[2])\n",
" I_exStab.plot(grid=True, ax=axs[3])\n",
" axs[3].set(xlim=(start,end), xlabel= 'Time [ms]', ylabel = 'IexStab [A]')\n",
" axs[2].set(ylim=(0,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$a$ [mm]')\n",
" axs[1].set(ylim=(-85,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$\\Delta$z [mm]')\n",
" axs[0].set(ylim=(-85,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$\\Delta$r [mm]', \n",
" title = 'Horizontal, vertical plasma position and radius #{}'.format(shot_no))\n",
" \n",
"else:\n",
" fig, axs = plt.subplots(3, 1, sharex=True, dpi=200)\n",
" r.plot(grid=True, ax=axs[0])\n",
" z.plot(grid=True, ax=axs[1])\n",
" a.plot(grid=True, ax=axs[2])\n",
" axs[2].set(ylim=(0,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$a$ [mm]')\n",
" axs[1].set(ylim=(-85,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$\\Delta$z [mm]')\n",
" axs[0].set(ylim=(-85,85), xlim=(start,end), xlabel= 'Time [ms]', ylabel = '$\\Delta$r [mm]', \n",
" title = 'Horizontal, vertical plasma position and radius #{}'.format(shot_no))\n",
"\n",
" \n",
" \n",
"plt.savefig('icon-fig') \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Fast Cameras "
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"from PIL import Image\n",
"from io import BytesIO\n",
"from IPython.display import Image as DispImage\n",
"\n",
"FastCamera = True\n",
"\n",
"\n",
"try:\n",
" url = \"http://golem.fjfi.cvut.cz/shots/%i/Diagnostics/FastExCameras/plasma_film.png\"%(shot_no)\n",
" image = requests.get(url)\n",
" img = Image.open(BytesIO(image.content)).convert('P') #'L','1'\n",
"\n",
" data = np.asanyarray(img)\n",
"\n",
" r = []\n",
"# z = []\n",
" for i in range(data.shape[1]):\n",
" a=0\n",
" b=0\n",
" for j in range(336):\n",
" a += data[j,i]*j\n",
" b += data[j,i]\n",
" r.append((a/b)*(170/336))\n",
"# z.append((a/b)*(-170/336))\n",
" Tcd = 3 #delay\n",
" camera_time = np.linspace(start+abs(start-Tcd), end, len(r))\n",
" r_camera = pd.Series(r, index = camera_time)-85\n",
" r_mirnov = horpol(shot_no, vacuum_shot).loc[start:end]\n",
" \n",
"# camera_time = np.linspace(start+abs(start-Tcd), end, len(z))\n",
"# z_camera = pd.Series(z, index = camera_time)-85\n",
"# z_mirnov = verpol(shot_no, vacuum_shot).loc[start:end]\n",
"\n",
"# print(start, end, len(r))\n",
" \n",
" fig = plt.figure()\n",
" ax = r_camera.plot(label = 'Fast Camera')\n",
" ax = r_mirnov.plot(label = 'Mirnov coils')\n",
" \n",
"# ax = z_camera.plot(label = 'Fast Camera')\n",
"# ax = z_mirnov.plot(label = 'Mirnov coils')\n",
" \n",
" plt.legend()\n",
" ax.set(ylim=(-85, 85), title='#%i'%shot_no,ylabel='$\\Delta$r visible radiation')\n",
" ax.axhline(y=0, color='k', ls='--', lw=1, alpha=0.4)\n",
" fig.savefig('FastCameras_deltaR')\n",
"# fig.savefig('FastCameras_deltaZ')\n",
"except OSError:\n",
" FastCamera = False"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"if FastCamera == True:\n",
" plt.imshow(img)\n"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"if not '-1' in stab and not 'Not Found' in stab:\n",
" dataNI = (read_signal(shot_no, 'Rog', data_URL, 'lvm')) #data from NI\n",
" dataNI = dataNI.set_index('Time')\n",
" dataNI=dataNI.set_index(dataNI.index*1e3)\n",
" Irog = dataNI['RogQuadr']\n",
" # Irog=abs(Irog)\n",
" Irog*=1/5e-3\n",
" Irog=Irog.loc[start:end]\n",
" data = pd.concat([df_processed, Irog], axis='columns')\n",
" data.to_csv('plasma_position.csv')\n",
" data['RogQuadr'].plot()\n",
"# data"
]
}
],
"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": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}