GraphTest1-Copy1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "quality-zimbabwe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14, 21)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from papyri.crosslink import IngestedBlobs\n",
    "\n",
    "from papyri.config import ingest_dir\n",
    "from papyri.crosslink import TreeReplacer\n",
    "from papyri.graphstore import GraphStore\n",
    "from json import loads, dumps\n",
    "from papyri.take2 import RefInfo\n",
    "import json\n",
    "\n",
    "gs = GraphStore(ingest_dir)\n",
    "\n",
    "\n",
    "key = ('scipy', '1.5.0', 'module', 'scipy.signal.filter_design.cheb2ord')\n",
    "key = 'numpy/1.20.0/api/numpy.polyfit'.replace('api','module').split('/')\n",
    "data = gs.get(key)\n",
    "data = json.loads(data.decode())\n",
    "gbr_data = gs.get_backref(key)\n",
    "data['backrefs'] = [RefInfo(*x).to_json() for x in gbr_data]\n",
    "blob = IngestedBlobs.from_json(data)\n",
    "\n",
    "def cgraph(gs, blob, key):\n",
    "    nodes_names = [b.path for b in blob.backrefs+blob.refs]+[key[3]]\n",
    "    #nodes_names = [n for n in nodes_names if n.startswith('numpy')]\n",
    "\n",
    "    raw_edges = []\n",
    "    for k in blob.backrefs+blob.refs:\n",
    "        orig = [x[3] for x in gs.get_backref(tuple(k))]\n",
    "        for o in orig:\n",
    "            raw_edges.append((k.path, o))\n",
    "\n",
    "    data = {'nodes':[], 'links':[]}\n",
    "\n",
    "    nums_ = set()\n",
    "    edges = list(raw_edges)\n",
    "    nodes = list(set(nodes_names))\n",
    "    for a,b in edges:\n",
    "        if (a not in nodes) or (b not in nodes):\n",
    "            continue\n",
    "        nums_.add(a)\n",
    "        nums_.add(b)\n",
    "    nums = {x:i for i,x in enumerate(nodes, start=1)}\n",
    "\n",
    "\n",
    "\n",
    "    for i,(from_,to) in enumerate(edges[:N]):\n",
    "        if (from_ not in nodes):\n",
    "            continue\n",
    "        if (to not in nodes):\n",
    "            continue\n",
    "        if key[3] in (to, from_):\n",
    "            continue\n",
    "\n",
    "        data['links'].append({\"source\":nums[from_],\"target\":nums[to], \"id\":i})\n",
    "    x = nums.keys()\n",
    "\n",
    "    for node in nodes:\n",
    "        diam = 8\n",
    "        if node == key[3]:\n",
    "            diam = 18\n",
    "        data['nodes'].append({\"id\":nums[node],\"val\":diam, \"label\":node, \"mod\":'.'.join(node.split('.')[0:1])})\n",
    "    return data\n",
    "\n",
    "data = cgraph(gs, blob, key)\n",
    "\n",
    "\n",
    "    \n",
    "with open('d3.json', 'w') as f:\n",
    "    f.write(dumps(data))\n",
    "len(data['nodes']), len(data['links'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "precise-nurse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"nodes\": [{\"id\": 1, \"val\": 8, \"label\": \"numpy.polynomial.polynomial.polyfit\", \"mod\": \"numpy\"}, {\"id\": 2, \"val\": 8, \"label\": \"matplotlib.pyplot.show\", \"mod\": \"matplotlib\"}, {\"id\": 3, \"val\": 18, \"label\": \"numpy.polyfit\", \"mod\": \"numpy\"}, {\"id\": 4, \"val\": 8, \"label\": \"matplotlib.pyplot.ylim\", \"mod\": \"matplotlib\"}, {\"id\": 5, \"val\": 8, \"label\": \"numpy.RankWarning\", \"mod\": \"numpy\"}, {\"id\": 6, \"val\": 8, \"label\": \"numpy.polynomial\", \"mod\": \"numpy\"}, {\"id\": 7, \"val\": 8, \"label\": \"papyri\", \"mod\": \"papyri\"}, {\"id\": 8, \"val\": 8, \"label\": \"matplotlib.pyplot\", \"mod\": \"matplotlib\"}, {\"id\": 9, \"val\": 8, \"label\": \"matplotlib\", \"mod\": \"matplotlib\"}, {\"id\": 10, \"val\": 8, \"label\": \"matplotlib.pyplot.plot\", \"mod\": \"matplotlib\"}, {\"id\": 11, \"val\": 8, \"label\": \"fig-numpy.polyfit-1.png\", \"mod\": \"fig-numpy\"}, {\"id\": 12, \"val\": 8, \"label\": \"numpy.poly1d\", \"mod\": \"numpy\"}, {\"id\": 13, \"val\": 8, \"label\": \"numpy.ma.extras.polyfit\", \"mod\": \"numpy\"}, {\"id\": 14, \"val\": 8, \"label\": \"numpy.linalg.lstsq\", \"mod\": \"numpy\"}], \"links\": [{\"source\": 10, \"target\": 10, \"id\": 5}, {\"source\": 10, \"target\": 14, \"id\": 17}, {\"source\": 10, \"target\": 13, \"id\": 25}, {\"source\": 14, \"target\": 14, \"id\": 149}, {\"source\": 14, \"target\": 13, \"id\": 152}, {\"source\": 14, \"target\": 1, \"id\": 159}, {\"source\": 4, \"target\": 13, \"id\": 166}, {\"source\": 12, \"target\": 13, \"id\": 177}, {\"source\": 5, \"target\": 5, \"id\": 187}, {\"source\": 5, \"target\": 13, \"id\": 188}, {\"source\": 5, \"target\": 1, \"id\": 195}, {\"source\": 6, \"target\": 13, \"id\": 196}, {\"source\": 6, \"target\": 12, \"id\": 198}, {\"source\": 6, \"target\": 6, \"id\": 205}, {\"source\": 2, \"target\": 14, \"id\": 234}, {\"source\": 2, \"target\": 13, \"id\": 243}, {\"source\": 8, \"target\": 8, \"id\": 407}, {\"source\": 8, \"target\": 14, \"id\": 422}, {\"source\": 8, \"target\": 13, \"id\": 430}, {\"source\": 9, \"target\": 14, \"id\": 676}, {\"source\": 9, \"target\": 13, \"id\": 685}]}"
     ]
    }
   ],
   "source": [
    "cat d3.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "postal-seeker",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/bussonniermatthias/dev/papyri'"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "contained-sixth",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('numpy.fft.fft2', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.fft2', 'numpy.fft.fft2'),\n",
       " ('numpy.fft.fft2', 'numpy.fft.ifft2'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.fft2'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.ifftn'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.rfftn'),\n",
       " ('numpy.fft.ifftn', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.ifftn', 'numpy.fft.ifft2'),\n",
       " ('numpy.fft.ifftn', 'numpy.fft.ifftn'),\n",
       " ('numpy.fft.ifftn', 'numpy.fft.irfftn'),\n",
       " ('numpy.fft.rfftn', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.rfftn', 'numpy.fft.irfftn'),\n",
       " ('numpy.fft.rfftn', 'numpy.fft.rfft2'),\n",
       " ('numpy.fft.rfftn', 'numpy.fft.rfftn'),\n",
       " ('matplotlib.pyplot', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot', 'matplotlib.figure.Figure.colorbar'),\n",
       " ('matplotlib.pyplot', 'matplotlib.pyplot'),\n",
       " ('matplotlib.pyplot', 'matplotlib.pyplot.colorbar'),\n",
       " ('matplotlib.pyplot', 'numpy.bartlett'),\n",
       " ('matplotlib.pyplot', 'numpy.blackman'),\n",
       " ('matplotlib.pyplot', 'numpy.fft.fft'),\n",
       " ('matplotlib.pyplot', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot', 'numpy.fft.ifft'),\n",
       " ('matplotlib.pyplot', 'numpy.fft.ifftn'),\n",
       " ('matplotlib.pyplot', 'numpy.geomspace'),\n",
       " ('matplotlib.pyplot', 'numpy.hamming'),\n",
       " ('matplotlib.pyplot', 'numpy.hanning'),\n",
       " ('matplotlib.pyplot', 'numpy.histogram'),\n",
       " ('matplotlib.pyplot', 'numpy.histogram2d'),\n",
       " ('matplotlib.pyplot', 'numpy.interp'),\n",
       " ('matplotlib.pyplot', 'numpy.kaiser'),\n",
       " ('matplotlib.pyplot', 'numpy.linalg.lstsq'),\n",
       " ('matplotlib.pyplot', 'numpy.linspace'),\n",
       " ('matplotlib.pyplot', 'numpy.logspace'),\n",
       " ('matplotlib.pyplot', 'numpy.ma.core.absolute'),\n",
       " ('matplotlib.pyplot', 'numpy.ma.core.arccos'),\n",
       " ('matplotlib.pyplot', 'numpy.ma.core.arctan'),\n",
       " ('matplotlib.pyplot', 'numpy.ma.core.cosh'),\n",
       " ('matplotlib.pyplot', 'numpy.ma.core.exp'),\n",
       " ('matplotlib.pyplot', 'numpy.ma.extras.polyfit'),\n",
       " ('matplotlib.pyplot', 'numpy.meshgrid'),\n",
       " ('matplotlib.pyplot', 'numpy.polyfit'),\n",
       " ('matplotlib.pyplot', 'numpy.sinc'),\n",
       " ('matplotlib.pyplot', 'papyri.examples.example1'),\n",
       " ('matplotlib.pyplot', 'papyri.examples.example2'),\n",
       " ('matplotlib.pyplot', 'scipy.fft._basic.fft'),\n",
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       " ('matplotlib.pyplot', 'scipy.fft._basic.ifft'),\n",
       " ('matplotlib.pyplot', 'scipy.fft._basic.ifftn'),\n",
       " ('matplotlib.pyplot', 'scipy.integrate._bvp.solve_bvp'),\n",
       " ('matplotlib.pyplot', 'scipy.integrate._ivp.ivp.solve_ivp'),\n",
       " ('matplotlib.pyplot', 'scipy.integrate._quad_vec.quad_vec'),\n",
       " ('matplotlib.pyplot', 'scipy.integrate._quadrature.cumtrapz'),\n",
       " ('matplotlib.pyplot', 'scipy.integrate.odepack.odeint'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate._bsplines.BSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate._bsplines.BSpline.integrate'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate._bsplines.make_interp_spline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate._bsplines.make_lsq_spline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate._cubic.CubicSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate._cubic.pchip_interpolate'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.fitpack.splprep'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.fitpack.splrep'),\n",
       " ('matplotlib.pyplot',\n",
       "  'scipy.interpolate.fitpack2.InterpolatedUnivariateSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.fitpack2.LSQSphereBivariateSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.fitpack2.LSQUnivariateSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.fitpack2.RectSphereBivariateSpline'),\n",
       " ('matplotlib.pyplot',\n",
       "  'scipy.interpolate.fitpack2.SmoothSphereBivariateSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.fitpack2.UnivariateSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.interpolate.interp1d'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.interpolate.interp2d'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.ndgriddata.griddata'),\n",
       " ('matplotlib.pyplot',\n",
       "  'scipy.interpolate.polyint.approximate_taylor_polynomial'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.polyint.barycentric_interpolate'),\n",
       " ('matplotlib.pyplot', 'scipy.interpolate.polyint.krogh_interpolate'),\n",
       " ('matplotlib.pyplot', 'scipy.linalg.basic.lstsq'),\n",
       " ('matplotlib.pyplot', 'scipy.misc.common.ascent'),\n",
       " ('matplotlib.pyplot', 'scipy.misc.common.electrocardiogram'),\n",
       " ('matplotlib.pyplot', 'scipy.misc.common.face'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.gaussian_filter'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.gaussian_filter1d'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.gaussian_gradient_magnitude'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.gaussian_laplace'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.laplace'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.maximum_filter'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.median_filter'),\n",
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       " ('matplotlib.pyplot', 'scipy.ndimage.filters.percentile_filter'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.prewitt'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.rank_filter'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.sobel'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.filters.uniform_filter'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.fourier.fourier_ellipsoid'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.fourier.fourier_gaussian'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.fourier.fourier_shift'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.fourier.fourier_uniform'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.interpolation.rotate'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.interpolation.spline_filter'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.interpolation.spline_filter1d'),\n",
       " ('matplotlib.pyplot', 'scipy.ndimage.interpolation.zoom'),\n",
       " ('matplotlib.pyplot', 'scipy.optimize.minpack.curve_fit'),\n",
       " ('matplotlib.pyplot', 'scipy.optimize.optimize.bracket'),\n",
       " ('matplotlib.pyplot', 'scipy.optimize.zeros.newton'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._arraytools.const_ext'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._arraytools.even_ext'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._arraytools.odd_ext'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._max_len_seq.max_len_seq'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._peak_finding.find_peaks'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._peak_finding.peak_prominences'),\n",
       " ('matplotlib.pyplot', 'scipy.signal._peak_finding.peak_widths'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.barthann'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.bartlett'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.blackman'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.blackmanharris'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.bohman'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.boxcar'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.bsplines.qspline1d'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.bsplines.qspline1d_eval'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.chebwin'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.cosine'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.exponential'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.bessel'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.bilinear'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.bilinear_zpk'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.butter'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.buttord'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.cheb1ord'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.cheb2ord'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.cheby1'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.cheby2'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.ellip'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.ellipord'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.freqs'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.freqs_zpk'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.freqz'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.freqz_zpk'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.group_delay'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.iirdesign'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.iirfilter'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.iirnotch'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.iirpeak'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.lp2bp'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.lp2bs'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.lp2hp'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.lp2lp'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.filter_design.sosfreqz'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.fir_filter_design.firls'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.fir_filter_design.kaiserord'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.fir_filter_design.minimum_phase'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.fir_filter_design.remez'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.flattop'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.gaussian'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.general_gaussian'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.hamming'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.hann'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.kaiser'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.bode'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.dbode'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.dfreqresp'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.dimpulse'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.dlti.bode'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.dstep'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.freqresp'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.impulse'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.impulse2'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.lsim'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.lsim2'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.lti.bode'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.place_poles'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.step'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.ltisys.step2'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.nuttall'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.parzen'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.convolve'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.convolve2d'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.correlate'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.correlate2d'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.fftconvolve'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.filtfilt'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.hilbert'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.lfilter'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.oaconvolve'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.resample'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.resample_poly'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.sosfilt'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.sosfilt_zi'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.sosfiltfilt'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.signaltools.wiener'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.slepian'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.coherence'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.csd'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.istft'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.lombscargle'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.periodogram'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.spectrogram'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.stft'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.spectral.welch'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.triang'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.tukey'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.waveforms.chirp'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.waveforms.gausspulse'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.waveforms.sawtooth'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.waveforms.square'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.waveforms.sweep_poly'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.waveforms.unit_impulse'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.wavelets.cwt'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.wavelets.morlet2'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.wavelets.ricker'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.barthann'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.bartlett'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.blackman'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.blackmanharris'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.bohman'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.boxcar'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.chebwin'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.cosine'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.dpss'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.exponential'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.flattop'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.gaussian'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.general_cosine'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.general_gaussian'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.general_hamming'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.hamming'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.hann'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.kaiser'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.nuttall'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.parzen'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.slepian'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.triang'),\n",
       " ('matplotlib.pyplot', 'scipy.signal.windows.windows.tukey'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial._geometric_slerp.geometric_slerp'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial._plotutils.convex_hull_plot_2d'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial._plotutils.delaunay_plot_2d'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial._plotutils.voronoi_plot_2d'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial._spherical_voronoi.SphericalVoronoi'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial.kdtree.KDTree.query_ball_point'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial.qhull.ConvexHull'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial.qhull.Delaunay'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial.qhull.HalfspaceIntersection'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial.qhull.Voronoi'),\n",
       " ('matplotlib.pyplot', 'scipy.spatial.qhull.tsearch'),\n",
       " ('matplotlib.pyplot',\n",
       "  'scipy.spatial.transform._rotation_spline.RotationSpline'),\n",
       " ('matplotlib.pyplot', 'scipy.special._basic.diric'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._binned_statistic.binned_statistic'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._binned_statistic.binned_statistic_dd'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._continuous_distns.rv_histogram'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._discrete_distns.hypergeom_gen'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._distn_infrastructure.rv_discrete'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._multivariate.invwishart_gen'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._multivariate.multivariate_normal_gen'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._multivariate.wishart_gen'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._stats_mstats_common.linregress'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._stats_mstats_common.siegelslopes'),\n",
       " ('matplotlib.pyplot', 'scipy.stats._stats_mstats_common.theilslopes'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.kde.gaussian_kde'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.kde.gaussian_kde.set_bandwidth'),\n",
       " ('matplotlib.pyplot',\n",
       "  'scipy.stats.morestats._calc_uniform_order_statistic_medians'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.bayes_mvs'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.boxcox'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.boxcox_llf'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.boxcox_normmax'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.boxcox_normplot'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.ppcc_max'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.ppcc_plot'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.probplot'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.yeojohnson'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.yeojohnson_llf'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.yeojohnson_normmax'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.morestats.yeojohnson_normplot'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.stats.cumfreq'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.stats.kurtosis'),\n",
       " ('matplotlib.pyplot', 'scipy.stats.stats.relfreq'),\n",
       " ('numpy.fft', 'numpy.fft.fftn'),\n",
       " ('numpy.fft', 'numpy.fft'),\n",
       " ('numpy.fft', 'numpy.fft.fft'),\n",
       " ('numpy.fft', 'numpy.fft.fft2'),\n",
       " ('numpy.fft', 'numpy.fft.fftn'),\n",
       " ('numpy.fft', 'numpy.fft.hfft'),\n",
       " ('numpy.fft', 'numpy.fft.ifft'),\n",
       " ('numpy.fft', 'numpy.fft.ifft2'),\n",
       " ('numpy.fft', 'numpy.fft.ifftn'),\n",
       " ('numpy.fft', 'numpy.fft.ihfft'),\n",
       " ('numpy.fft', 'numpy.fft.irfft'),\n",
       " ('numpy.fft', 'numpy.fft.irfft2'),\n",
       " ('numpy.fft', 'numpy.fft.irfftn'),\n",
       " ('numpy.fft', 'numpy.fft.rfft'),\n",
       " ('numpy.fft', 'numpy.fft.rfft2'),\n",
       " ('numpy.fft', 'numpy.fft.rfftn'),\n",
       " ('numpy.fft', 'scipy.ndimage.fourier.fourier_ellipsoid'),\n",
       " ('numpy.fft', 'scipy.ndimage.fourier.fourier_gaussian'),\n",
       " ('numpy.fft', 'scipy.ndimage.fourier.fourier_shift'),\n",
       " ('numpy.fft', 'scipy.ndimage.fourier.fourier_uniform'),\n",
       " ('numpy.fft', 'scipy.signal._max_len_seq.max_len_seq'),\n",
       " ('numpy.fft', 'scipy.special._basic.diric'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.fft2'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.fftn'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.ifftn'),\n",
       " ('numpy.fft.fftn', 'numpy.fft.rfftn'),\n",
       " ('fig-numpy.fft.fftn-1.png', 'numpy.fft.fftn'),\n",
       " ('fig-numpy.fft.fftn-1.png', 'numpy.fft.fftn'),\n",
       " ('fig-numpy.fft.fftn-1.png', 'numpy.fft.fftn'),\n",
       " ('fig-numpy.fft.fftn-1.png', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot.show', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot.show', 'matplotlib.figure.Figure.show'),\n",
       " ('matplotlib.pyplot.show', 'matplotlib.image.thumbnail'),\n",
       " ('matplotlib.pyplot.show', 'matplotlib.pyplot.isinteractive'),\n",
       " ('matplotlib.pyplot.show', 'matplotlib.pyplot.plotting'),\n",
       " ('matplotlib.pyplot.show', 'numpy.bartlett'),\n",
       " ('matplotlib.pyplot.show', 'numpy.blackman'),\n",
       " ('matplotlib.pyplot.show', 'numpy.fft.fft'),\n",
       " ('matplotlib.pyplot.show', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot.show', 'numpy.fft.ifft'),\n",
       " ('matplotlib.pyplot.show', 'numpy.fft.ifftn'),\n",
       " ('matplotlib.pyplot.show', 'numpy.geomspace'),\n",
       " ('matplotlib.pyplot.show', 'numpy.hamming'),\n",
       " ('matplotlib.pyplot.show', 'numpy.hanning'),\n",
       " ('matplotlib.pyplot.show', 'numpy.histogram'),\n",
       " ('matplotlib.pyplot.show', 'numpy.histogram2d'),\n",
       " ('matplotlib.pyplot.show', 'numpy.interp'),\n",
       " ('matplotlib.pyplot.show', 'numpy.kaiser'),\n",
       " ('matplotlib.pyplot.show', 'numpy.linalg.lstsq'),\n",
       " ('matplotlib.pyplot.show', 'numpy.linspace'),\n",
       " ('matplotlib.pyplot.show', 'numpy.logspace'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.core.absolute'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.core.arccos'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.core.arctan'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.core.cosh'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.core.exp'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.core.sin'),\n",
       " ('matplotlib.pyplot.show', 'numpy.ma.extras.polyfit'),\n",
       " ('matplotlib.pyplot.show', 'numpy.meshgrid'),\n",
       " ('matplotlib.pyplot.show', 'numpy.polyfit'),\n",
       " ('matplotlib.pyplot.show', 'numpy.sinc'),\n",
       " ('matplotlib.pyplot.show', 'papyri.examples.example1'),\n",
       " ('matplotlib.pyplot.show', 'papyri.examples.example2'),\n",
       " ('matplotlib.pyplot.show', 'scipy.fft._basic.fft'),\n",
       " ('matplotlib.pyplot.show', 'scipy.fft._basic.fftn'),\n",
       " ('matplotlib.pyplot.show', 'scipy.fft._basic.ifft'),\n",
       " ('matplotlib.pyplot.show', 'scipy.fft._basic.ifftn'),\n",
       " ('matplotlib.pyplot.show', 'scipy.integrate._bvp.solve_bvp'),\n",
       " ('matplotlib.pyplot.show', 'scipy.integrate._ivp.ivp.solve_ivp'),\n",
       " ('matplotlib.pyplot.show', 'scipy.integrate._quad_vec.quad_vec'),\n",
       " ('matplotlib.pyplot.show', 'scipy.integrate._quadrature.cumtrapz'),\n",
       " ('matplotlib.pyplot.show', 'scipy.integrate.odepack.odeint'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate._bsplines.BSpline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate._bsplines.BSpline.integrate'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate._bsplines.make_interp_spline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate._bsplines.make_lsq_spline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate._cubic.CubicSpline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate._cubic.pchip_interpolate'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.fitpack.splprep'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.fitpack.splrep'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.interpolate.fitpack2.InterpolatedUnivariateSpline'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.interpolate.fitpack2.LSQSphereBivariateSpline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.fitpack2.LSQUnivariateSpline'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.interpolate.fitpack2.RectSphereBivariateSpline'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.interpolate.fitpack2.SmoothSphereBivariateSpline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.fitpack2.UnivariateSpline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.interpolate.interp1d'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.interpolate.interp2d'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.ndgriddata.griddata'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.interpolate.polyint.approximate_taylor_polynomial'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.interpolate.polyint.barycentric_interpolate'),\n",
       " ('matplotlib.pyplot.show', 'scipy.interpolate.polyint.krogh_interpolate'),\n",
       " ('matplotlib.pyplot.show', 'scipy.linalg.basic.lstsq'),\n",
       " ('matplotlib.pyplot.show', 'scipy.misc.common.ascent'),\n",
       " ('matplotlib.pyplot.show', 'scipy.misc.common.electrocardiogram'),\n",
       " ('matplotlib.pyplot.show', 'scipy.misc.common.face'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.gaussian_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.gaussian_filter1d'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.ndimage.filters.gaussian_gradient_magnitude'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.gaussian_laplace'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.laplace'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.maximum_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.median_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.minimum_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.percentile_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.prewitt'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.rank_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.sobel'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.filters.uniform_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.fourier.fourier_ellipsoid'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.fourier.fourier_gaussian'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.fourier.fourier_shift'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.fourier.fourier_uniform'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.interpolation.rotate'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.interpolation.spline_filter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.interpolation.spline_filter1d'),\n",
       " ('matplotlib.pyplot.show', 'scipy.ndimage.interpolation.zoom'),\n",
       " ('matplotlib.pyplot.show', 'scipy.optimize.minpack.curve_fit'),\n",
       " ('matplotlib.pyplot.show', 'scipy.optimize.optimize.bracket'),\n",
       " ('matplotlib.pyplot.show', 'scipy.optimize.zeros.newton'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._arraytools.const_ext'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._arraytools.even_ext'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._arraytools.odd_ext'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._max_len_seq.max_len_seq'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._peak_finding.find_peaks'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._peak_finding.peak_prominences'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal._peak_finding.peak_widths'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.bsplines.qspline1d'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.bsplines.qspline1d_eval'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.cosine'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.bessel'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.butter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.buttord'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.cheb1ord'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.cheb2ord'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.cheby1'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.cheby2'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.ellip'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.ellipord'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.freqs'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.freqs_zpk'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.freqz'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.freqz_zpk'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.group_delay'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.iirfilter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.iirnotch'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.iirpeak'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.filter_design.sosfreqz'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.fir_filter_design.firls'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.fir_filter_design.kaiserord'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.fir_filter_design.remez'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.bode'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.dbode'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.dfreqresp'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.dlti.bode'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.freqresp'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.lsim'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.lsim2'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.ltisys.lti.bode'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.filtfilt'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.lfilter'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.resample'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.resample_poly'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.sosfilt'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.sosfilt_zi'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.sosfiltfilt'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.signaltools.wiener'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.coherence'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.csd'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.istft'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.lombscargle'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.periodogram'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.spectrogram'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.stft'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.spectral.welch'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.waveforms.chirp'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.waveforms.sweep_poly'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.waveforms.unit_impulse'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.wavelets.cwt'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.wavelets.morlet2'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.wavelets.ricker'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.windows.windows.cosine'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.windows.windows.dpss'),\n",
       " ('matplotlib.pyplot.show', 'scipy.signal.windows.windows.general_cosine'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial._geometric_slerp.geometric_slerp'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial._plotutils.convex_hull_plot_2d'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial._plotutils.delaunay_plot_2d'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial._plotutils.voronoi_plot_2d'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.spatial._spherical_voronoi.SphericalVoronoi'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial.kdtree.KDTree.query_ball_point'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial.qhull.ConvexHull'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial.qhull.Delaunay'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial.qhull.HalfspaceIntersection'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial.qhull.Voronoi'),\n",
       " ('matplotlib.pyplot.show', 'scipy.spatial.qhull.tsearch'),\n",
       " ('matplotlib.pyplot.show',\n",
       "  'scipy.spatial.transform._rotation_spline.RotationSpline'),\n",
       " ('matplotlib.pyplot.show', 'scipy.special._basic.diric'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._binned_statistic.binned_statistic'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._continuous_distns.rv_histogram'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._discrete_distns.hypergeom_gen'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._distn_infrastructure.rv_discrete'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._stats_mstats_common.linregress'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._stats_mstats_common.siegelslopes'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats._stats_mstats_common.theilslopes'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.kde.gaussian_kde'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.kde.gaussian_kde.set_bandwidth'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.bayes_mvs'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.boxcox'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.boxcox_llf'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.boxcox_normmax'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.boxcox_normplot'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.ppcc_max'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.ppcc_plot'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.probplot'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.yeojohnson'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.yeojohnson_llf'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.yeojohnson_normmax'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.morestats.yeojohnson_normplot'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.stats.cumfreq'),\n",
       " ('matplotlib.pyplot.show', 'scipy.stats.stats.relfreq'),\n",
       " ('matplotlib.pyplot.imshow', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot.imshow', 'matplotlib.axes._axes.Axes.imshow'),\n",
       " ('matplotlib.pyplot.imshow', 'matplotlib.pyplot.gci'),\n",
       " ('matplotlib.pyplot.imshow', 'matplotlib.pyplot.imshow'),\n",
       " ('matplotlib.pyplot.imshow', 'matplotlib.pyplot.plotting'),\n",
       " ('matplotlib.pyplot.imshow', 'numpy.fft.fftn'),\n",
       " ('matplotlib.pyplot.imshow', 'numpy.fft.ifftn'),\n",
       " ('matplotlib.pyplot.imshow', 'numpy.histogram2d'),\n",
       " ('matplotlib.pyplot.imshow', 'numpy.ma.core.absolute'),\n",
       " ('matplotlib.pyplot.imshow', 'numpy.ma.core.exp'),\n",
       " ('matplotlib.pyplot.imshow', 'scipy.fft._basic.fftn'),\n",
       " ('matplotlib.pyplot.imshow', 'scipy.fft._basic.ifftn'),\n",
       " ('matplotlib.pyplot.imshow', 'scipy.interpolate.ndgriddata.griddata'),\n",
       " ('matplotlib.pyplot.imshow', 'scipy.misc.common.ascent'),\n",
       " ('matplotlib.pyplot.imshow', 'scipy.misc.common.face'),\n",
       " ('matplotlib.pyplot.imshow', 'scipy.signal.wavelets.cwt'),\n",
       " ('matplotlib', 'numpy.fft.fftn'),\n",
       " ('matplotlib', 'numpy.bartlett'),\n",
       " ('matplotlib', 'numpy.blackman'),\n",
       " ('matplotlib', 'numpy.fft.fft'),\n",
       " ('matplotlib', 'numpy.fft.fftn'),\n",
       " ('matplotlib', 'numpy.fft.ifft'),\n",
       " ('matplotlib', 'numpy.fft.ifftn'),\n",
       " ('matplotlib', 'numpy.geomspace'),\n",
       " ('matplotlib', 'numpy.hamming'),\n",
       " ('matplotlib', 'numpy.hanning'),\n",
       " ('matplotlib', 'numpy.histogram'),\n",
       " ('matplotlib', 'numpy.histogram2d'),\n",
       " ('matplotlib', 'numpy.interp'),\n",
       " ('matplotlib', 'numpy.kaiser'),\n",
       " ('matplotlib', 'numpy.linalg.lstsq'),\n",
       " ('matplotlib', 'numpy.linspace'),\n",
       " ('matplotlib', 'numpy.logspace'),\n",
       " ('matplotlib', 'numpy.ma.core.absolute'),\n",
       " ('matplotlib', 'numpy.ma.core.arccos'),\n",
       " ('matplotlib', 'numpy.ma.core.arctan'),\n",
       " ('matplotlib', 'numpy.ma.core.cosh'),\n",
       " ('matplotlib', 'numpy.ma.core.exp'),\n",
       " ('matplotlib', 'numpy.ma.core.sin'),\n",
       " ('matplotlib', 'numpy.ma.extras.polyfit'),\n",
       " ('matplotlib', 'numpy.meshgrid'),\n",
       " ('matplotlib', 'numpy.polyfit'),\n",
       " ('matplotlib', 'numpy.sinc'),\n",
       " ('matplotlib', 'papyri.examples.example1'),\n",
       " ('matplotlib', 'papyri.examples.example2'),\n",
       " ('matplotlib', 'scipy.fft._basic.fft'),\n",
       " ('matplotlib', 'scipy.fft._basic.fftn'),\n",
       " ('matplotlib', 'scipy.fft._basic.ifft'),\n",
       " ('matplotlib', 'scipy.fft._basic.ifftn'),\n",
       " ('matplotlib', 'scipy.integrate._bvp.solve_bvp'),\n",
       " ('matplotlib', 'scipy.integrate._ivp.ivp.solve_ivp'),\n",
       " ('matplotlib', 'scipy.integrate._quad_vec.quad_vec'),\n",
       " ('matplotlib', 'scipy.integrate._quadrature.cumtrapz'),\n",
       " ('matplotlib', 'scipy.integrate.odepack.odeint'),\n",
       " ('matplotlib', 'scipy.interpolate._bsplines.BSpline'),\n",
       " ('matplotlib', 'scipy.interpolate._bsplines.BSpline.integrate'),\n",
       " ('matplotlib', 'scipy.interpolate._bsplines.make_interp_spline'),\n",
       " ('matplotlib', 'scipy.interpolate._bsplines.make_lsq_spline'),\n",
       " ('matplotlib', 'scipy.interpolate._cubic.CubicSpline'),\n",
       " ('matplotlib', 'scipy.interpolate._cubic.pchip_interpolate'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack.splprep'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack.splrep'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack2.InterpolatedUnivariateSpline'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack2.LSQSphereBivariateSpline'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack2.LSQUnivariateSpline'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack2.RectSphereBivariateSpline'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack2.SmoothSphereBivariateSpline'),\n",
       " ('matplotlib', 'scipy.interpolate.fitpack2.UnivariateSpline'),\n",
       " ('matplotlib', 'scipy.interpolate.interpolate.interp1d'),\n",
       " ('matplotlib', 'scipy.interpolate.interpolate.interp2d'),\n",
       " ('matplotlib', 'scipy.interpolate.ndgriddata.griddata'),\n",
       " ('matplotlib', 'scipy.interpolate.polyint.approximate_taylor_polynomial'),\n",
       " ('matplotlib', 'scipy.interpolate.polyint.barycentric_interpolate'),\n",
       " ('matplotlib', 'scipy.interpolate.polyint.krogh_interpolate'),\n",
       " ('matplotlib', 'scipy.linalg.basic.lstsq'),\n",
       " ('matplotlib', 'scipy.misc.common.ascent'),\n",
       " ('matplotlib', 'scipy.misc.common.electrocardiogram'),\n",
       " ('matplotlib', 'scipy.misc.common.face'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.gaussian_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.gaussian_filter1d'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.gaussian_gradient_magnitude'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.gaussian_laplace'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.laplace'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.maximum_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.median_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.minimum_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.percentile_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.prewitt'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.rank_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.sobel'),\n",
       " ('matplotlib', 'scipy.ndimage.filters.uniform_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.fourier.fourier_ellipsoid'),\n",
       " ('matplotlib', 'scipy.ndimage.fourier.fourier_gaussian'),\n",
       " ('matplotlib', 'scipy.ndimage.fourier.fourier_shift'),\n",
       " ('matplotlib', 'scipy.ndimage.fourier.fourier_uniform'),\n",
       " ('matplotlib', 'scipy.ndimage.interpolation.rotate'),\n",
       " ('matplotlib', 'scipy.ndimage.interpolation.spline_filter'),\n",
       " ('matplotlib', 'scipy.ndimage.interpolation.spline_filter1d'),\n",
       " ('matplotlib', 'scipy.ndimage.interpolation.zoom'),\n",
       " ('matplotlib', 'scipy.optimize.minpack.curve_fit'),\n",
       " ('matplotlib', 'scipy.optimize.optimize.bracket'),\n",
       " ('matplotlib', 'scipy.optimize.zeros.newton'),\n",
       " ('matplotlib', 'scipy.signal._arraytools.const_ext'),\n",
       " ('matplotlib', 'scipy.signal._arraytools.even_ext'),\n",
       " ('matplotlib', 'scipy.signal._arraytools.odd_ext'),\n",
       " ('matplotlib', 'scipy.signal._max_len_seq.max_len_seq'),\n",
       " ('matplotlib', 'scipy.signal._peak_finding.find_peaks'),\n",
       " ('matplotlib', 'scipy.signal._peak_finding.peak_prominences'),\n",
       " ('matplotlib', 'scipy.signal._peak_finding.peak_widths'),\n",
       " ('matplotlib', 'scipy.signal.barthann'),\n",
       " ('matplotlib', 'scipy.signal.bartlett'),\n",
       " ('matplotlib', 'scipy.signal.blackman'),\n",
       " ('matplotlib', 'scipy.signal.blackmanharris'),\n",
       " ('matplotlib', 'scipy.signal.bohman'),\n",
       " ('matplotlib', 'scipy.signal.boxcar'),\n",
       " ('matplotlib', 'scipy.signal.bsplines.qspline1d'),\n",
       " ('matplotlib', 'scipy.signal.bsplines.qspline1d_eval'),\n",
       " ('matplotlib', 'scipy.signal.chebwin'),\n",
       " ('matplotlib', 'scipy.signal.cosine'),\n",
       " ('matplotlib', 'scipy.signal.exponential'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.bessel'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.bilinear'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.bilinear_zpk'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.butter'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.buttord'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.cheb1ord'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.cheb2ord'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.cheby1'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.cheby2'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.ellip'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.ellipord'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.freqs'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.freqs_zpk'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.freqz'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.freqz_zpk'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.group_delay'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.iirdesign'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.iirfilter'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.iirnotch'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.iirpeak'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.lp2bp'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.lp2bs'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.lp2hp'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.lp2lp'),\n",
       " ('matplotlib', 'scipy.signal.filter_design.sosfreqz'),\n",
       " ('matplotlib', 'scipy.signal.fir_filter_design.firls'),\n",
       " ('matplotlib', 'scipy.signal.fir_filter_design.kaiserord'),\n",
       " ('matplotlib', 'scipy.signal.fir_filter_design.minimum_phase'),\n",
       " ('matplotlib', 'scipy.signal.fir_filter_design.remez'),\n",
       " ('matplotlib', 'scipy.signal.flattop'),\n",
       " ('matplotlib', 'scipy.signal.gaussian'),\n",
       " ('matplotlib', 'scipy.signal.general_gaussian'),\n",
       " ('matplotlib', 'scipy.signal.hamming'),\n",
       " ('matplotlib', 'scipy.signal.hann'),\n",
       " ('matplotlib', 'scipy.signal.kaiser'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.bode'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.dbode'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.dfreqresp'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.dimpulse'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.dlti.bode'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.dstep'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.freqresp'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.impulse'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.impulse2'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.lsim'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.lsim2'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.lti.bode'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.place_poles'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.step'),\n",
       " ('matplotlib', 'scipy.signal.ltisys.step2'),\n",
       " ('matplotlib', 'scipy.signal.nuttall'),\n",
       " ('matplotlib', 'scipy.signal.parzen'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.convolve'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.convolve2d'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.correlate'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.correlate2d'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.fftconvolve'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.filtfilt'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.hilbert'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.lfilter'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.oaconvolve'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.resample'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.resample_poly'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.sosfilt'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.sosfilt_zi'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.sosfiltfilt'),\n",
       " ('matplotlib', 'scipy.signal.signaltools.wiener'),\n",
       " ('matplotlib', 'scipy.signal.slepian'),\n",
       " ('matplotlib', 'scipy.signal.spectral.coherence'),\n",
       " ('matplotlib', 'scipy.signal.spectral.csd'),\n",
       " ('matplotlib', 'scipy.signal.spectral.istft'),\n",
       " ('matplotlib', 'scipy.signal.spectral.lombscargle'),\n",
       " ('matplotlib', 'scipy.signal.spectral.periodogram'),\n",
       " ('matplotlib', 'scipy.signal.spectral.spectrogram'),\n",
       " ('matplotlib', 'scipy.signal.spectral.stft'),\n",
       " ('matplotlib', 'scipy.signal.spectral.welch'),\n",
       " ('matplotlib', 'scipy.signal.triang'),\n",
       " ('matplotlib', 'scipy.signal.tukey'),\n",
       " ('matplotlib', 'scipy.signal.waveforms.chirp'),\n",
       " ('matplotlib', 'scipy.signal.waveforms.gausspulse'),\n",
       " ('matplotlib', 'scipy.signal.waveforms.sawtooth'),\n",
       " ('matplotlib', 'scipy.signal.waveforms.square'),\n",
       " ('matplotlib', 'scipy.signal.waveforms.sweep_poly'),\n",
       " ('matplotlib', 'scipy.signal.waveforms.unit_impulse'),\n",
       " ('matplotlib', 'scipy.signal.wavelets.cwt'),\n",
       " ('matplotlib', 'scipy.signal.wavelets.morlet2'),\n",
       " ('matplotlib', 'scipy.signal.wavelets.ricker'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.barthann'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.bartlett'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.blackman'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.blackmanharris'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.bohman'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.boxcar'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.chebwin'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.cosine'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.dpss'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.exponential'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.flattop'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.gaussian'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.general_cosine'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.general_gaussian'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.general_hamming'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.hamming'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.hann'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.kaiser'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.nuttall'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.parzen'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.slepian'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.triang'),\n",
       " ('matplotlib', 'scipy.signal.windows.windows.tukey'),\n",
       " ('matplotlib', 'scipy.spatial._geometric_slerp.geometric_slerp'),\n",
       " ('matplotlib', 'scipy.spatial._plotutils.convex_hull_plot_2d'),\n",
       " ('matplotlib', 'scipy.spatial._plotutils.delaunay_plot_2d'),\n",
       " ('matplotlib', 'scipy.spatial._plotutils.voronoi_plot_2d'),\n",
       " ('matplotlib', 'scipy.spatial._spherical_voronoi.SphericalVoronoi'),\n",
       " ('matplotlib', 'scipy.spatial.kdtree.KDTree.query_ball_point'),\n",
       " ('matplotlib', 'scipy.spatial.qhull.ConvexHull'),\n",
       " ('matplotlib', 'scipy.spatial.qhull.Delaunay'),\n",
       " ('matplotlib', 'scipy.spatial.qhull.HalfspaceIntersection'),\n",
       " ('matplotlib', 'scipy.spatial.qhull.Voronoi'),\n",
       " ('matplotlib', 'scipy.spatial.qhull.tsearch'),\n",
       " ('matplotlib', 'scipy.spatial.transform._rotation_spline.RotationSpline'),\n",
       " ('matplotlib', 'scipy.special._basic.diric'),\n",
       " ('matplotlib', 'scipy.stats._binned_statistic.binned_statistic'),\n",
       " ('matplotlib', 'scipy.stats._binned_statistic.binned_statistic_dd'),\n",
       " ('matplotlib', 'scipy.stats._continuous_distns.rv_histogram'),\n",
       " ('matplotlib', 'scipy.stats._discrete_distns.hypergeom_gen'),\n",
       " ('matplotlib', 'scipy.stats._distn_infrastructure.rv_discrete'),\n",
       " ('matplotlib', 'scipy.stats._multivariate.invwishart_gen'),\n",
       " ('matplotlib', 'scipy.stats._multivariate.multivariate_normal_gen'),\n",
       " ('matplotlib', 'scipy.stats._multivariate.wishart_gen'),\n",
       " ('matplotlib', 'scipy.stats._stats_mstats_common.linregress'),\n",
       " ('matplotlib', 'scipy.stats._stats_mstats_common.siegelslopes'),\n",
       " ('matplotlib', 'scipy.stats._stats_mstats_common.theilslopes'),\n",
       " ('matplotlib', 'scipy.stats.kde.gaussian_kde'),\n",
       " ('matplotlib', 'scipy.stats.kde.gaussian_kde.set_bandwidth'),\n",
       " ('matplotlib', 'scipy.stats.morestats._calc_uniform_order_statistic_medians'),\n",
       " ('matplotlib', 'scipy.stats.morestats.bayes_mvs'),\n",
       " ('matplotlib', 'scipy.stats.morestats.boxcox'),\n",
       " ('matplotlib', 'scipy.stats.morestats.boxcox_llf'),\n",
       " ('matplotlib', 'scipy.stats.morestats.boxcox_normmax'),\n",
       " ('matplotlib', 'scipy.stats.morestats.boxcox_normplot'),\n",
       " ('matplotlib', 'scipy.stats.morestats.ppcc_max'),\n",
       " ('matplotlib', 'scipy.stats.morestats.ppcc_plot'),\n",
       " ('matplotlib', 'scipy.stats.morestats.probplot'),\n",
       " ('matplotlib', 'scipy.stats.morestats.yeojohnson'),\n",
       " ('matplotlib', 'scipy.stats.morestats.yeojohnson_llf'),\n",
       " ('matplotlib', 'scipy.stats.morestats.yeojohnson_normmax'),\n",
       " ('matplotlib', 'scipy.stats.morestats.yeojohnson_normplot'),\n",
       " ('matplotlib', 'scipy.stats.stats.cumfreq'),\n",
       " ('matplotlib', 'scipy.stats.stats.kurtosis'),\n",
       " ('matplotlib', 'scipy.stats.stats.relfreq')]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "pleased-motel",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'SeeAlsoItem' object has no attribute 'ref'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-42-5dd98b799de1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m sa \u001b[38;5;241m=\u001b[39m blob\u001b[38;5;241m.\u001b[39msee_also[\u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m----> 2\u001b[0m \u001b[48;5;17msa\u001b[49m\u001b[38;5;241;48;5;17m.\u001b[39;49m\u001b[48;5;17mref\u001b[49m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'SeeAlsoItem' object has no attribute 'ref'"
     ]
    }
   ],
   "source": [
    "sa = blob.see_also[2]\n",
    "sa.ref"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "precious-india",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(False,\n",
       " ['numpy.lib.scimath.log',\n",
       "  'fig-numpy.logspace-1.png',\n",
       "  'numpy.logspace',\n",
       "  'scipy.signal.filter_design.freqs_zpk',\n",
       "  'scipy.signal.filter_design.buttord',\n",
       "  'scipy.signal.filter_design.freqs',\n",
       "  'numpy.geomspace',\n",
       "  'scipy.signal.filter_design.ellipord'])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'numpy.ma.core.asanyarray' in nodes, nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "under-scanner",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'edges'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-2acba4142179>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m nid \u001b[38;5;241m=\u001b[39m [n[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mid\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m n \u001b[38;5;129;01min\u001b[39;00m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnodes\u001b[39m\u001b[38;5;124m'\u001b[39m]]\n\u001b[0;32m----> 2\u001b[0m tid \u001b[38;5;241m=\u001b[39m [e[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtarget\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m e \u001b[38;5;129;01min\u001b[39;00m \u001b[48;5;17mdata\u001b[49m\u001b[48;5;17m[\u001b[49m\u001b[38;5;124;48;5;17m'\u001b[39;49m\u001b[38;5;124;48;5;17medges\u001b[39;49m\u001b[38;5;124;48;5;17m'\u001b[39;49m\u001b[48;5;17m]\u001b[49m]\n\u001b[1;32m      3\u001b[0m sid \u001b[38;5;241m=\u001b[39m [e[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msource\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m e \u001b[38;5;129;01min\u001b[39;00m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124medges\u001b[39m\u001b[38;5;124m'\u001b[39m]]\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mset\u001b[39m(tid) \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mset\u001b[39m(nid)\n",
      "\u001b[0;31mKeyError\u001b[0m: 'edges'"
     ]
    }
   ],
   "source": [
    "nid = [n['id'] for n in data['nodes']]\n",
    "tid = [e['target'] for e in data['edges']]\n",
    "sid = [e['source'] for e in data['edges']]\n",
    "set(tid) - set(nid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cheap-transmission",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges[:N]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "authorized-finance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50, 82)"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data['edges']),len(data['nodes']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "specialized-frame",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('JavaScript-Network-Graphs/assets/data/user_network.json') as f:\n",
    "    dd = json.loads(f.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "impressive-nutrition",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'edges': [{'source': 1, 'id': 1297, 'target': 67},\n",
       "  {'source': 1, 'id': 814, 'target': 4},\n",
       "  {'source': 1, 'id': 1208, 'target': 5},\n",
       "  {'source': 1, 'id': 1435, 'target': 7},\n",
       "  {'source': 1, 'id': 1291, 'target': 73},\n",
       "  {'source': 1, 'id': 1127, 'target': 10},\n",
       "  {'source': 1, 'id': 475, 'target': 75},\n",
       "  {'source': 1, 'id': 153, 'target': 76},\n",
       "  {'source': 1, 'id': 1292, 'target': 78},\n",
       "  {'source': 1, 'id': 1284, 'target': 17},\n",
       "  {'source': 1, 'id': 1295, 'target': 19},\n",
       "  {'source': 1, 'id': 1437, 'target': 21},\n",
       "  {'source': 1, 'id': 1498, 'target': 26},\n",
       "  {'source': 1, 'id': 1228, 'target': 27},\n",
       "  {'source': 1, 'id': 1294, 'target': 33},\n",
       "  {'source': 1, 'id': 870, 'target': 34},\n",
       "  {'source': 1, 'id': 43, 'target': 37},\n",
       "  {'source': 1, 'id': 1287, 'target': 38},\n",
       "  {'source': 1, 'id': 109, 'target': 39},\n",
       "  {'source': 1, 'id': 1286, 'target': 42},\n",
       "  {'source': 1, 'id': 1293, 'target': 71},\n",
       "  {'source': 1, 'id': 1050, 'target': 46},\n",
       "  {'source': 1, 'id': 1296, 'target': 47},\n",
       "  {'source': 1, 'id': 1181, 'target': 48},\n",
       "  {'source': 1, 'id': 531, 'target': 54},\n",
       "  {'source': 1, 'id': 423, 'target': 55},\n",
       "  {'source': 1, 'id': 1289, 'target': 56},\n",
       "  {'source': 1, 'id': 1285, 'target': 62},\n",
       "  {'source': 2, 'id': 1090, 'target': 64},\n",
       "  {'source': 2, 'id': 544, 'target': 2},\n",
       "  {'source': 2, 'id': 570, 'target': 22},\n",
       "  {'source': 2, 'id': 554, 'target': 68},\n",
       "  {'source': 2, 'id': 543, 'target': 69},\n",
       "  {'source': 2, 'id': 539, 'target': 8},\n",
       "  {'source': 2, 'id': 558, 'target': 12},\n",
       "  {'source': 2, 'id': 1113, 'target': 10},\n",
       "  {'source': 2, 'id': 545, 'target': 75},\n",
       "  {'source': 2, 'id': 190, 'target': 76},\n",
       "  {'source': 2, 'id': 541, 'target': 77},\n",
       "  {'source': 2, 'id': 540, 'target': 78},\n",
       "  {'source': 2, 'id': 552, 'target': 15},\n",
       "  {'source': 2, 'id': 914, 'target': 17},\n",
       "  {'source': 2, 'id': 546, 'target': 19},\n",
       "  {'source': 2, 'id': 549, 'target': 20},\n",
       "  {'source': 2, 'id': 562, 'target': 73},\n",
       "  {'source': 2, 'id': 771, 'target': 25},\n",
       "  {'source': 2, 'id': 461, 'target': 24},\n",
       "  {'source': 2, 'id': 550, 'target': 4},\n",
       "  {'source': 2, 'id': 563, 'target': 26},\n",
       "  {'source': 2, 'id': 542, 'target': 28},\n",
       "  {'source': 2, 'id': 566, 'target': 29},\n",
       "  {'source': 2, 'id': 555, 'target': 30},\n",
       "  {'source': 2, 'id': 571, 'target': 33},\n",
       "  {'source': 2, 'id': 5, 'target': 37},\n",
       "  {'source': 2, 'id': 607, 'target': 38},\n",
       "  {'source': 2, 'id': 564, 'target': 39},\n",
       "  {'source': 2, 'id': 547, 'target': 40},\n",
       "  {'source': 2, 'id': 560, 'target': 41},\n",
       "  {'source': 2, 'id': 1468, 'target': 42},\n",
       "  {'source': 2, 'id': 567, 'target': 43},\n",
       "  {'source': 2, 'id': 568, 'target': 45},\n",
       "  {'source': 2, 'id': 1060, 'target': 46},\n",
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       "  {'source': 2, 'id': 746, 'target': 52},\n",
       "  {'source': 2, 'id': 548, 'target': 54},\n",
       "  {'source': 2, 'id': 556, 'target': 55},\n",
       "  {'source': 2, 'id': 565, 'target': 56},\n",
       "  {'source': 2, 'id': 305, 'target': 57},\n",
       "  {'source': 2, 'id': 559, 'target': 58},\n",
       "  {'source': 2, 'id': 1477, 'target': 59},\n",
       "  {'source': 2, 'id': 553, 'target': 62},\n",
       "  {'source': 3, 'id': 1095, 'target': 64},\n",
       "  {'source': 3, 'id': 502, 'target': 75},\n",
       "  {'source': 3, 'id': 1164, 'target': 70},\n",
       "  {'source': 3, 'id': 1071, 'target': 9},\n",
       "  {'source': 3, 'id': 379, 'target': 11},\n",
       "  {'source': 3, 'id': 187, 'target': 76},\n",
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       "  {'source': 3, 'id': 708, 'target': 22},\n",
       "  {'source': 3, 'id': 1455, 'target': 24},\n",
       "  {'source': 3, 'id': 765, 'target': 25},\n",
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       "  {'source': 3, 'id': 1337, 'target': 28},\n",
       "  {'source': 3, 'id': 1247, 'target': 29},\n",
       "  {'source': 3, 'id': 1456, 'target': 31},\n",
       "  {'source': 3, 'id': 1459, 'target': 33},\n",
       "  {'source': 3, 'id': 20, 'target': 37},\n",
       "  {'source': 3, 'id': 1458, 'target': 44},\n",
       "  {'source': 3, 'id': 1461, 'target': 51},\n",
       "  {'source': 3, 'id': 732, 'target': 52},\n",
       "  {'source': 3, 'id': 1367, 'target': 53},\n",
       "  {'source': 3, 'id': 1460, 'target': 56},\n",
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       "  {'source': 3, 'id': 1457, 'target': 6},\n",
       "  {'source': 3, 'id': 1473, 'target': 59},\n",
       "  {'source': 3, 'id': 1261, 'target': 61},\n",
       "  {'source': 4, 'id': 1096, 'target': 64},\n",
       "  {'source': 4, 'id': 833, 'target': 4},\n",
       "  {'source': 4, 'id': 1215, 'target': 5},\n",
       "  {'source': 4, 'id': 816, 'target': 6},\n",
       "  {'source': 4, 'id': 810, 'target': 71},\n",
       "  {'source': 4, 'id': 829, 'target': 72},\n",
       "  {'source': 4, 'id': 591, 'target': 74},\n",
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       "  {'source': 4, 'id': 825, 'target': 66},\n",
       "  {'source': 4, 'id': 826, 'target': 13},\n",
       "  {'source': 4, 'id': 822, 'target': 16},\n",
       "  {'source': 4, 'id': 818, 'target': 21},\n",
       "  {'source': 4, 'id': 817, 'target': 22},\n",
       "  {'source': 4, 'id': 442, 'target': 24},\n",
       "  {'source': 4, 'id': 809, 'target': 25},\n",
       "  {'source': 4, 'id': 813, 'target': 26},\n",
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       "  {'source': 4, 'id': 751, 'target': 52},\n",
       "  {'source': 4, 'id': 832, 'target': 53},\n",
       "  {'source': 4, 'id': 815, 'target': 55},\n",
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       "  {'source': 4, 'id': 827, 'target': 58},\n",
       "  {'source': 4, 'id': 819, 'target': 62},\n",
       "  {'source': 5, 'id': 1209, 'target': 66},\n",
       "  {'source': 5, 'id': 806, 'target': 67},\n",
       "  {'source': 5, 'id': 1160, 'target': 70},\n",
       "  {'source': 5, 'id': 1206, 'target': 7},\n",
       "  {'source': 5, 'id': 1111, 'target': 10},\n",
       "  {'source': 5, 'id': 384, 'target': 11},\n",
       "  {'source': 5, 'id': 152, 'target': 76},\n",
       "  {'source': 5, 'id': 999, 'target': 77},\n",
       "  {'source': 5, 'id': 65, 'target': 14},\n",
       "  {'source': 5, 'id': 1211, 'target': 15},\n",
       "  {'source': 5, 'id': 1214, 'target': 17},\n",
       "  {'source': 5, 'id': 1213, 'target': 75},\n",
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       "  {'source': 5, 'id': 445, 'target': 24},\n",
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       "  {'source': 5, 'id': 1207, 'target': 40},\n",
       "  {'source': 5, 'id': 1205, 'target': 41},\n",
       "  {'source': 5, 'id': 1203, 'target': 47},\n",
       "  {'source': 5, 'id': 1371, 'target': 53},\n",
       "  {'source': 5, 'id': 690, 'target': 56},\n",
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       "  {'source': 6, 'id': 1490, 'target': 51},\n",
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       "  {'source': 6, 'id': 358, 'target': 11},\n",
       "  {'source': 6, 'id': 1494, 'target': 76},\n",
       "  {'source': 6, 'id': 75, 'target': 14},\n",
       "  {'source': 6, 'id': 1171, 'target': 48},\n",
       "  {'source': 6, 'id': 927, 'target': 17},\n",
       "  {'source': 6, 'id': 270, 'target': 19},\n",
       "  {'source': 6, 'id': 197, 'target': 78},\n",
       "  {'source': 6, 'id': 1493, 'target': 54},\n",
       "  {'source': 6, 'id': 1404, 'target': 23},\n",
       "  {'source': 6, 'id': 685, 'target': 56},\n",
       "  {'source': 6, 'id': 761, 'target': 25},\n",
       "  {'source': 6, 'id': 1492, 'target': 55},\n",
       "  {'source': 6, 'id': 1491, 'target': 53},\n",
       "  {'source': 7, 'id': 1387, 'target': 66},\n",
       "  {'source': 7, 'id': 1431, 'target': 75},\n",
       "  {'source': 7, 'id': 1432, 'target': 70},\n",
       "  {'source': 7, 'id': 1082, 'target': 9},\n",
       "  {'source': 7, 'id': 364, 'target': 11},\n",
       "  {'source': 7, 'id': 157, 'target': 76},\n",
       "  {'source': 7, 'id': 1434, 'target': 77},\n",
       "  {'source': 7, 'id': 83, 'target': 14},\n",
       "  {'source': 7, 'id': 1014, 'target': 18},\n",
       "  {'source': 7, 'id': 216, 'target': 78},\n",
       "  {'source': 7, 'id': 1495, 'target': 26},\n",
       "  {'source': 7, 'id': 1330, 'target': 28},\n",
       "  {'source': 7, 'id': 1428, 'target': 69},\n",
       "  {'source': 7, 'id': 1349, 'target': 33},\n",
       "  {'source': 7, 'id': 863, 'target': 34},\n",
       "  {'source': 7, 'id': 1433, 'target': 39},\n",
       "  {'source': 7, 'id': 939, 'target': 40},\n",
       "  {'source': 7, 'id': 316, 'target': 41},\n",
       "  {'source': 7, 'id': 1436, 'target': 45},\n",
       "  {'source': 7, 'id': 1168, 'target': 48},\n",
       "  {'source': 7, 'id': 1309, 'target': 49},\n",
       "  {'source': 7, 'id': 1506, 'target': 50},\n",
       "  {'source': 7, 'id': 522, 'target': 54},\n",
       "  {'source': 7, 'id': 413, 'target': 55},\n",
       "  {'source': 7, 'id': 675, 'target': 56},\n",
       "  {'source': 7, 'id': 290, 'target': 57},\n",
       "  {'source': 7, 'id': 1429, 'target': 58},\n",
       "  {'source': 7, 'id': 1430, 'target': 60},\n",
       "  {'source': 7, 'id': 1253, 'target': 61},\n",
       "  {'source': 7, 'id': 1042, 'target': 62},\n",
       "  {'source': 8, 'id': 1320, 'target': 65},\n",
       "  {'source': 8, 'id': 794, 'target': 67},\n",
       "  {'source': 8, 'id': 1397, 'target': 66},\n",
       "  {'source': 8, 'id': 1383, 'target': 69},\n",
       "  {'source': 8, 'id': 1381, 'target': 70},\n",
       "  {'source': 8, 'id': 1386, 'target': 72},\n",
       "  {'source': 8, 'id': 1378, 'target': 10},\n",
       "  {'source': 8, 'id': 478, 'target': 75},\n",
       "  {'source': 8, 'id': 1376, 'target': 76},\n",
       "  {'source': 8, 'id': 991, 'target': 77},\n",
       "  {'source': 8, 'id': 1380, 'target': 14},\n",
       "  {'source': 8, 'id': 1019, 'target': 18},\n",
       "  {'source': 8, 'id': 241, 'target': 19},\n",
       "  {'source': 8, 'id': 231, 'target': 78},\n",
       "  {'source': 8, 'id': 1377, 'target': 22},\n",
       "  {'source': 8, 'id': 1384, 'target': 28},\n",
       "  {'source': 8, 'id': 1408, 'target': 31},\n",
       "  {'source': 8, 'id': 935, 'target': 40},\n",
       "  {'source': 8, 'id': 895, 'target': 43},\n",
       "  {'source': 8, 'id': 1385, 'target': 48},\n",
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       "   'id': 67,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1245,\n",
       "   'x': 28.60260591048612,\n",
       "   'location': 'Arlington',\n",
       "   'label': 'Omar',\n",
       "   'geo_cd': '0500000US51013',\n",
       "   'size': 100,\n",
       "   'company': 'Govini',\n",
       "   'y': -38.951811938967154},\n",
       "  {'job_title': 'Business Intelligence Analyst',\n",
       "   'skills': 'Java/Linux/SQL',\n",
       "   'industry': 'Defense & Aerospace',\n",
       "   'betwc': 0.0023,\n",
       "   'id': 68,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.0783,\n",
       "   'x': 48.25754702843824,\n",
       "   'location': 'Los Angeles',\n",
       "   'label': 'Paul',\n",
       "   'geo_cd': '0500000US06037',\n",
       "   'size': 100,\n",
       "   'company': 'Leidos',\n",
       "   'y': -49.509591011694745},\n",
       "  {'job_title': 'Crew Member',\n",
       "   'skills': 'Investing/Sports/Music',\n",
       "   'industry': 'Entertainment',\n",
       "   'betwc': 0.0017,\n",
       "   'id': 69,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.0634,\n",
       "   'x': 26.5527911446968,\n",
       "   'location': 'Orlando',\n",
       "   'label': 'Que',\n",
       "   'geo_cd': '0500000US12095',\n",
       "   'size': 100,\n",
       "   'company': 'Disney',\n",
       "   'y': -52.36865512116682},\n",
       "  {'job_title': 'Store Clerk',\n",
       "   'skills': 'Music/Retail/Art',\n",
       "   'industry': 'Retail',\n",
       "   'betwc': 0.0071,\n",
       "   'id': 70,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1187,\n",
       "   'x': 30.16653859437014,\n",
       "   'location': 'Nashville',\n",
       "   'label': 'Roxanne',\n",
       "   'geo_cd': '0500000US47037',\n",
       "   'size': 100,\n",
       "   'company': 'New Age Records',\n",
       "   'y': -25.21939895836587},\n",
       "  {'job_title': 'Historian',\n",
       "   'skills': 'Art/History/Writing',\n",
       "   'industry': 'Local Government',\n",
       "   'betwc': 0.0047,\n",
       "   'id': 71,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.0926,\n",
       "   'x': 40.88762882994431,\n",
       "   'location': 'Charleston',\n",
       "   'label': 'Sandy',\n",
       "   'geo_cd': '0500000US45019',\n",
       "   'size': 100,\n",
       "   'company': 'Charleston Historical Society',\n",
       "   'y': -25.173956588721147},\n",
       "  {'job_title': 'Manager',\n",
       "   'skills': 'Retail/Management/Sales',\n",
       "   'industry': 'Retail',\n",
       "   'betwc': 0.0031,\n",
       "   'id': 72,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.0877,\n",
       "   'x': 18.398359378493687,\n",
       "   'location': 'Richmond',\n",
       "   'label': 'Tom',\n",
       "   'geo_cd': '0500000US51041',\n",
       "   'size': 100,\n",
       "   'company': 'Marlboro',\n",
       "   'y': -35.355053680403245},\n",
       "  {'job_title': 'Biologist',\n",
       "   'skills': 'Biology/Math/Engineering',\n",
       "   'industry': 'Pharmaceuticals & Health',\n",
       "   'betwc': 0.0147,\n",
       "   'id': 73,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1414,\n",
       "   'x': 31.26084494132506,\n",
       "   'location': 'Portland',\n",
       "   'label': 'Urelia',\n",
       "   'geo_cd': '0500000US41051',\n",
       "   'size': 100,\n",
       "   'company': 'Johnson & Johnson',\n",
       "   'y': -33.151793329173834},\n",
       "  {'job_title': 'Congressman',\n",
       "   'skills': 'Leadership/Writing/Law',\n",
       "   'industry': 'Federal Government',\n",
       "   'betwc': 0.0114,\n",
       "   'id': 74,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1443,\n",
       "   'x': 24.17827438023363,\n",
       "   'location': 'Denver',\n",
       "   'label': 'Vladimir',\n",
       "   'geo_cd': '0500000US08001',\n",
       "   'size': 100,\n",
       "   'company': 'US Government',\n",
       "   'y': -29.882111653000244},\n",
       "  {'job_title': 'Manager',\n",
       "   'skills': 'Management/Big Data/SQL',\n",
       "   'industry': 'Defense & Aerospace',\n",
       "   'betwc': 0.0143,\n",
       "   'id': 75,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1511,\n",
       "   'x': 30.43421966420915,\n",
       "   'location': 'Denver',\n",
       "   'label': 'Wendy',\n",
       "   'geo_cd': '0500000US08001',\n",
       "   'size': 100,\n",
       "   'company': 'Leidos',\n",
       "   'y': -29.01820773857611},\n",
       "  {'job_title': 'College Professor',\n",
       "   'skills': 'Leadership/History/Psychic Powers',\n",
       "   'industry': 'Education',\n",
       "   'betwc': 0.0212,\n",
       "   'id': 76,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1688,\n",
       "   'x': 32.96216566809193,\n",
       "   'location': 'Phoenix',\n",
       "   'label': 'Xavier',\n",
       "   'geo_cd': '0500000US04013',\n",
       "   'size': 100,\n",
       "   'company': 'University of Phoenix',\n",
       "   'y': -39.96947152704902},\n",
       "  {'job_title': 'Data Scientist',\n",
       "   'skills': 'Writing/Leadership/Math',\n",
       "   'industry': 'Software & Technology',\n",
       "   'betwc': 0.0062,\n",
       "   'id': 77,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.1077,\n",
       "   'x': 41.480566160541855,\n",
       "   'location': 'Oakland',\n",
       "   'label': 'Yang',\n",
       "   'geo_cd': '0500000US06001',\n",
       "   'size': 100,\n",
       "   'company': 'Yelp',\n",
       "   'y': -35.44566672578274},\n",
       "  {'job_title': 'Web Developer',\n",
       "   'skills': 'Python/Biology/Creating Memes',\n",
       "   'industry': 'Software & Technology',\n",
       "   'betwc': 0.0202,\n",
       "   'id': 78,\n",
       "   'color': 'rgb(45,45,60)',\n",
       "   'eigenc': 0.166,\n",
       "   'x': 26.92040839198358,\n",
       "   'location': 'Los Angeles',\n",
       "   'label': 'Zed',\n",
       "   'geo_cd': '0500000US06037',\n",
       "   'size': 100,\n",
       "   'company': 'Reddit',\n",
       "   'y': -31.85508077812874}]}"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "continuous-quilt",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\r\n",
      "  \"nodes\": [\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.wavelets.morlet\",\r\n",
      "      \"label\": \"morlet\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.stats._continuous_distns.weibull_max_gen\",\r\n",
      "      \"label\": \"weibull_max_gen\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.invres\",\r\n",
      "      \"label\": \"invres\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.convolve\",\r\n",
      "      \"label\": \"convolve\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.stats.stats.trim_mean\",\r\n",
      "      \"label\": \"trim_mean\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize.zeros.brentq\",\r\n",
      "      \"label\": \"brentq\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.correlate2d\",\r\n",
      "      \"label\": \"correlate2d\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize.optimize.fmin_bfgs\",\r\n",
      "      \"label\": \"fmin_bfgs\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.stats.mstats_basic.moment\",\r\n",
      "      \"label\": \"moment\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.stats.morestats.levene\",\r\n",
      "      \"label\": \"levene\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.spatial.distance.minkowski\",\r\n",
      "      \"label\": \"minkowski\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.fftconvolve\",\r\n",
      "      \"label\": \"fftconvolve\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.stats.stats.moment\",\r\n",
      "      \"label\": \"moment\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize._root.root\",\r\n",
      "      \"label\": \"root\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.unique_roots\",\r\n",
      "      \"label\": \"unique_roots\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.spatial.distance.wminkowski\",\r\n",
      "      \"label\": \"wminkowski\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.filter_design.cheby1\",\r\n",
      "      \"label\": \"cheby1\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.wavelets.cwt\",\r\n",
      "      \"label\": \"cwt\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize.tnc.fmin_tnc\",\r\n",
      "      \"label\": \"fmin_tnc\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.correlate\",\r\n",
      "      \"label\": \"correlate\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize.zeros.toms748\",\r\n",
      "      \"label\": \"toms748\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.signaltools.choose_conv_method\",\r\n",
      "      \"label\": \"choose_conv_method\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.stats._continuous_distns.weibull_min_gen\",\r\n",
      "      \"label\": \"weibull_min_gen\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize.nonlin\",\r\n",
      "      \"label\": \"nonlin\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.optimize.zeros.RootResults\",\r\n",
      "      \"label\": \"RootResults\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"id\": \"scipy.signal.filter_design.cheby2\",\r\n",
      "      \"label\": \"cheby2\",\r\n",
      "      \"x\": 0,\r\n",
      "      \"y\": 0,\r\n",
      "      \"size\": 1\r\n",
      "    }\r\n",
      "  ],\r\n",
      "  \"edges\": [\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.signal.signaltools.fftconvolve\",\r\n",
      "      \"target\": \"scipy.signal.signaltools.convolve\",\r\n",
      "      \"id\": \"scipy.signal.signaltools.fftconvolvescipy.signal.signaltools.convolve\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.optimize.zeros.brentq\",\r\n",
      "      \"target\": \"scipy.optimize.tnc.fmin_tnc\",\r\n",
      "      \"id\": \"scipy.optimize.zeros.brentqscipy.optimize.tnc.fmin_tnc\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.signal.signaltools.correlate2d\",\r\n",
      "      \"target\": \"scipy.signal.signaltools.correlate\",\r\n",
      "      \"id\": \"scipy.signal.signaltools.correlate2dscipy.signal.signaltools.correlate\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.signal.signaltools.invres\",\r\n",
      "      \"target\": \"scipy.signal.signaltools.unique_roots\",\r\n",
      "      \"id\": \"scipy.signal.signaltools.invresscipy.signal.signaltools.unique_roots\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.stats.morestats.levene\",\r\n",
      "      \"target\": \"scipy.stats.stats.trim_mean\",\r\n",
      "      \"id\": \"scipy.stats.morestats.levenescipy.stats.stats.trim_mean\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.signal.wavelets.morlet\",\r\n",
      "      \"target\": \"scipy.signal.wavelets.cwt\",\r\n",
      "      \"id\": \"scipy.signal.wavelets.morletscipy.signal.wavelets.cwt\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.optimize.zeros.brentq\",\r\n",
      "      \"target\": \"scipy.optimize.optimize.fmin_bfgs\",\r\n",
      "      \"id\": \"scipy.optimize.zeros.brentqscipy.optimize.optimize.fmin_bfgs\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.stats._continuous_distns.weibull_max_gen\",\r\n",
      "      \"target\": \"scipy.stats._continuous_distns.weibull_min_gen\",\r\n",
      "      \"id\": \"scipy.stats._continuous_distns.weibull_max_genscipy.stats._continuous_distns.weibull_min_gen\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.signal.filter_design.cheby1\",\r\n",
      "      \"target\": \"scipy.signal.filter_design.cheby2\",\r\n",
      "      \"id\": \"scipy.signal.filter_design.cheby1scipy.signal.filter_design.cheby2\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.stats.mstats_basic.moment\",\r\n",
      "      \"target\": \"scipy.stats.stats.moment\",\r\n",
      "      \"id\": \"scipy.stats.mstats_basic.momentscipy.stats.stats.moment\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.signal.signaltools.choose_conv_method\",\r\n",
      "      \"target\": \"scipy.signal.signaltools.convolve\",\r\n",
      "      \"id\": \"scipy.signal.signaltools.choose_conv_methodscipy.signal.signaltools.convolve\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.optimize.zeros.toms748\",\r\n",
      "      \"target\": \"scipy.optimize.zeros.RootResults\",\r\n",
      "      \"id\": \"scipy.optimize.zeros.toms748scipy.optimize.zeros.RootResults\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.optimize._root.root\",\r\n",
      "      \"target\": \"scipy.optimize.nonlin\",\r\n",
      "      \"id\": \"scipy.optimize._root.rootscipy.optimize.nonlin\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"source\": \"scipy.spatial.distance.wminkowski\",\r\n",
      "      \"target\": \"scipy.spatial.distance.minkowski\",\r\n",
      "      \"id\": \"scipy.spatial.distance.wminkowskiscipy.spatial.distance.minkowski\"\r\n",
      "    }\r\n",
      "  ]\r\n",
      "}"
     ]
    }
   ],
   "source": [
    "!cat npg.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sacred-vietnamese",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "mimetype": "text/python",
   "name": "Python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}