example/JupyterSigplot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SigPlot Jupyter Notebook Extension!\n",
    "\n",
    "[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/LGSInnovations/jupyter-sigplot/master?filepath=example%2FJupyterSigplot.ipynb)\n",
    "\n",
    "## Installation (If not running the notebook on [myBinder](https://mybinder.org/v2/gh/LGSInnovations/jupyter-sigplot/master?filepath=example%2FJupyterSigplot.ipynb))\n",
    "- Download extension from [GitHub](https://github.com/LGSInnovations/jupyter-sigplot)\n",
    "- Install Python 2.6+ or 3.5+\n",
    "- Install `pip` (usually bundled with Python)\n",
    "- Install Jupyter using `pip` (or install the Anaconda platform, which also includes Jupyter)\n",
    "\n",
    "```\n",
    "pip install jupyter\n",
    "```\n",
    "\n",
    "- Install the SigPlot Jupyter Notebook extension (run the following in order)\n",
    "\n",
    "```\n",
    "[/path/to/jupyter_sigplot]$ python setup.py install\n",
    "[/path/to/jupyter_sigplot]$ jupyter nbextension install --py --symlink --sys-prefix jupyter_sigplot\n",
    "[/path/to/jupyter_sigplot]$ jupyter nbextension enable jupyter_sigplot --py --sys-prefix\n",
    "```\n",
    "- To launch the notebook, simply run\n",
    "\n",
    "```\n",
    "$ jupyter notebook\n",
    "```\n",
    "\n",
    "- (Note: you do not need X-MIDAS installed to use  [SigPlot](https://github.com/lgsinnovations/sigplot).)\n",
    "\n",
    "## sigplot.Plot Usage\n",
    "- `Plot(args*, kwargs*)` - creates a sigplot with each arg as input data and kwargs as options\n",
    "- `overlay_array(data)` - adds an array of numbers to the sigplot's input data\n",
    "- `overlay_href(path)` - adds data from a file or URI to the sigplot\n",
    "- `change_settings(**kwargs)` - changes the options of the sigplot\n",
    "- `plot(*args)` - displays an interactive sigplot\n",
    "\n",
    "(Note: Changing the kernel's current working directory will affect relative data paths.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The only import you _need_ for plotting is `jupyter_sigplot.sigplot.Plot`.\n",
    "from jupyter_sigplot.sigplot import Plot\n",
    "\n",
    "# We'll import `numpy` too to show how to plot a `numpy` array.\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2c561bb2db0a4b20ad265ba96d8c1211",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(plot_options={'noxaxis': True, 'noyaxis': True, 'xi': True}, uuid='a26aadac-51ce-454f-b97a-ce06b98f0158')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# self-explanatory, but we're instantiating a `jupyter_sigplot.sigplot.Plot` object\n",
    "# and saying do not show the x and y axes.\n",
    "plot = Plot(noxaxis=True, noyaxis=True, xi=True)\n",
    "\n",
    "# Multiple `overlay_*` calls will layer on top of one-another\n",
    "plot.overlay_array((1,2,3))\n",
    "plot.overlay_array([3,2,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can change settings after the plot is instantiated,\n",
    "# so we'll add cross-hairs and show the x axis!\n",
    "plot.change_settings({'cross': True, 'show_x_axis': True})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f3dcc6da9c04071ba409d487ac32668",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(plot_options={'noxaxis': True, 'noyaxis': True}, uuid='f29b48c3-e815-40a1-a486-294196be972c')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 583 ms, sys: 255 ms, total: 837 ms\n",
      "Wall time: 967 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# self-explanatory, but we're instantiating a `SigPlot` object\n",
    "# and saying do not show the x and y axes.\n",
    "plot = Plot(noxaxis=True, noyaxis=True)\n",
    "\n",
    "# Multiple `overlay_*` calls will layer on top of one-another\n",
    "x = np.arange(0, 200e3, .01)\n",
    "plot.overlay_array(np.sin(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d879702339284e3f98b6f478a12f42f7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(plot_options={'noxaxis': True, 'noyaxis': False}, uuid='42ddd815-71cc-47fb-aa17-adfd51c1c9a1')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = Plot(noxaxis=True, noyaxis=False)\n",
    "\n",
    "# overlay_href() can accept a local Jupyter file or an arbitrary URI;\n",
    "# if it's an http or https URI, it will copy the file locally to\n",
    "# avoid dealing with cross-origin resource sharing (CORS)\n",
    "plot.overlay_href(\"http://sigplot.lgsinnovations.com/dat/pulse.tmp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "02ce3bd798cd480e94bc1907a4d175c1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='74a64273-8e2f-4189-8c8d-dd2b6d19d4f8')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# You can also plot mixed-types (i.e., hrefs and arrays)\n",
    "plot = Plot()\n",
    "plot.overlay_href(\"http://sigplot.lgsinnovations.com/dat/sin.tmp\")\n",
    "plot.overlay_href(\"http://sigplot.lgsinnovations.com/dat/pulse.tmp\")\n",
    "plot.overlay_array(np.arange(0, 4, .01))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7546142dda53474abcd09dcf308a6dad",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='c5f684fa-39c1-4c0c-bd71-4434ffea6a44')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# once the resource is local,\n",
    "# you can just refer to the filename\n",
    "# Note: changing the kernel's current working directory will affect\n",
    "# relative data paths.\n",
    "# Note: Running this will affect the previous cell's plot\n",
    "plot = Plot()\n",
    "plot.overlay_href(\"sin.tmp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "56cc4c1e44354e12b21aa133fcfee1cc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='895d439e-5842-42b7-bf4b-e9f38b814f2b')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# penny.prm is a type-2000 file, meaning it's layed out as\n",
    "# a 2-dimensional matrix, so `plot()` will by default plot each row\n",
    "# individually in a 1-D plot\n",
    "plot = Plot()\n",
    "plot.overlay_href(\"http://sigplot.lgsinnovations.com/dat/penny.prm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "889b00eda729427491a08b30f9b32412",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='899df386-4bc1-4218-b1d5-2bdd323b1bce')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = Plot()\n",
    "\n",
    "# we can also force SigPlot to plot 1-dimensional arrays\n",
    "# as a heatmap/raster setting `subsize` to how many\n",
    "# elements should be in each row\n",
    "plot.overlay_array([1,2,3,2,3,4,1,2,3], {'subsize': 3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "38d402ef96fd4a8db02306f6ef241a39",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='919731b6-a45a-4ef2-922f-992fe0974265')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = Plot()\n",
    "plot.overlay_array([1,2,3,2,3,4,1,2,3], {'subsize': 5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "669d5643ae6e44e2a4bb64137e4fb35c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='18ff2366-3fe9-423e-961b-e638298c84f2')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = Plot()\n",
    "\n",
    "# alternatively, you can just pass a 2-dimensional array/list\n",
    "# and as long as \"subsize\" is passed, it will plot it correctly\n",
    "plot.overlay_array([[1,2,3],[2,3,4],[1,2,3]], {'subsize': 3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c5dbfd6f26824107af00aeae421f1e1c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Plot(uuid='2cf06d57-c5a5-436e-91a4-25a0873728ab')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img alt=\"SigPlot plot\" src=\"data:image/png;base64,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\" width=\"100%\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = Plot()\n",
    "\n",
    "# you can also specify multiple files using '|' as\n",
    "# the delimiter\n",
    "plot.overlay_href('pulse.tmp|sin.tmp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}