{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pytexshade import ipyshade\n",
    "from plotnine import ggplot,geom_rect, geom_point, aes, stat_smooth,geom_bar, xlim, ylim, facet_wrap, theme_bw,theme_xkcd, geom_line, geom_tile\n",
    "from plotnine import scale_y_continuous,scale_x_continuous, theme_bw,theme_classic, theme_dark, theme_light, theme_matplotlib, theme_minimal, theme_seaborn, theme_void\n",
    "import plotnine as pn\n",
    "from plotnine.data import mtcars\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from seqplot import p9tools\n",
    "from seqplot.p9tools import geom_seq_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from seqplot.pdb_plot import plot_prof4pdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain I is discontinuous at line 14839.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain J is discontinuous at line 14846.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain A is discontinuous at line 14852.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain D is discontinuous at line 14853.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain E is discontinuous at line 14854.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain H is discontinuous at line 14856.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain I is discontinuous at line 14857.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain J is discontinuous at line 15637.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain A is discontinuous at line 16439.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain B is discontinuous at line 16658.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain C is discontinuous at line 16787.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain D is discontinuous at line 17001.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain E is discontinuous at line 17197.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain F is discontinuous at line 17418.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain G is discontinuous at line 17620.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain H is discontinuous at line 17808.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain I is discontinuous at line 13607.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain J is discontinuous at line 13614.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain A is discontinuous at line 13620.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain D is discontinuous at line 13621.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain E is discontinuous at line 13622.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain H is discontinuous at line 13624.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain I is discontinuous at line 13625.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain J is discontinuous at line 14405.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain A is discontinuous at line 15207.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain B is discontinuous at line 15426.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain C is discontinuous at line 15555.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain D is discontinuous at line 15769.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain E is discontinuous at line 15965.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain F is discontinuous at line 16186.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain G is discontinuous at line 16388.\n",
      "  PDBConstructionWarning,\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/Bio/PDB/StructureBuilder.py:92: PDBConstructionWarning: WARNING: Chain H is discontinuous at line 16576.\n",
      "  PDBConstructionWarning,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 17.1 s, sys: 243 ms, total: 17.3 s\n",
      "Wall time: 21.9 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1920x213.333 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8739542137527)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "plot_prof4pdb(quick=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple example with description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "shaded=ipyshade.shadepdbquick(pdb_chain_id='1KX5_A',feature_types=['SecStr'],force_feature_pos='bottom',ruler='bottom',legend=False,show_seq_names=False,show_seq_length=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<pytexshade.ipyshade.shadepdbquick at 0x7f41e37aabe0>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shaded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.DataFrame({'x':np.arange(1,136),'value':np.abs(np.sin(np.arange(1,136)/10.))})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1920x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363291796814869)>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g=(ggplot(data=df,mapping=aes(x='x', y='value'))\n",
    "+ geom_point(size=0.1)+geom_bar(stat='identity')\n",
    "+ scale_x_continuous(limits=(0.5,135.5),expand=(0,0),name='',breaks=[])\n",
    "+ scale_y_continuous(breaks=[0,0.5,1.0])\n",
    "+ theme_light()+pn.theme(aspect_ratio=0.15,dpi=300,plot_margin=0))\n",
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1920x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8745059560498)>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gseq = g + geom_seq_x(seqimg=shaded.img,x=df.x,y=df.value,aspect_ratio=0.15)\n",
    "gseq\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/plotnine/ggplot.py:729: PlotnineWarning: Saving 6.4 x 4.8 in image.\n",
      "  from_inches(height, units), units), PlotnineWarning)\n",
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/plotnine/ggplot.py:730: PlotnineWarning: Filename: plot.png\n",
      "  warn('Filename: {}'.format(filename), PlotnineWarning)\n"
     ]
    }
   ],
   "source": [
    "gseq.save('plot.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:moldyn]",
   "language": "python",
   "name": "conda-env-moldyn-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}