vignette.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# platetools\n",
    "\n",
    "Here are some examples of the plots available in platetools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "library(platetools)\n",
    "library(ggplot2)\n",
    "library(viridis)\n",
    "\n",
    "# set figure size for jupyter notebook\n",
    "options(repr.plot.width = 6)\n",
    "options(repr.plot.height = 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Manipulating plate data\n",
    "\n",
    "We can generate well labels with the function `num_to_well()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'A01'</li>\n",
       "\t<li>'A02'</li>\n",
       "\t<li>'A03'</li>\n",
       "\t<li>'A04'</li>\n",
       "\t<li>'A05'</li>\n",
       "\t<li>'A06'</li>\n",
       "\t<li>'A07'</li>\n",
       "\t<li>'A08'</li>\n",
       "\t<li>'A09'</li>\n",
       "\t<li>'A10'</li>\n",
       "\t<li>'A11'</li>\n",
       "\t<li>'A12'</li>\n",
       "\t<li>'B01'</li>\n",
       "\t<li>'B02'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'A01'\n",
       "\\item 'A02'\n",
       "\\item 'A03'\n",
       "\\item 'A04'\n",
       "\\item 'A05'\n",
       "\\item 'A06'\n",
       "\\item 'A07'\n",
       "\\item 'A08'\n",
       "\\item 'A09'\n",
       "\\item 'A10'\n",
       "\\item 'A11'\n",
       "\\item 'A12'\n",
       "\\item 'B01'\n",
       "\\item 'B02'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'A01'\n",
       "2. 'A02'\n",
       "3. 'A03'\n",
       "4. 'A04'\n",
       "5. 'A05'\n",
       "6. 'A06'\n",
       "7. 'A07'\n",
       "8. 'A08'\n",
       "9. 'A09'\n",
       "10. 'A10'\n",
       "11. 'A11'\n",
       "12. 'A12'\n",
       "13. 'B01'\n",
       "14. 'B02'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"A01\" \"A02\" \"A03\" \"A04\" \"A05\" \"A06\" \"A07\" \"A08\" \"A09\" \"A10\" \"A11\" \"A12\"\n",
       "[13] \"B01\" \"B02\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_to_well(1:14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>'A01'</li>\n",
       "\t<li>'A02'</li>\n",
       "\t<li>'A03'</li>\n",
       "\t<li>'A04'</li>\n",
       "\t<li>'A05'</li>\n",
       "\t<li>'A06'</li>\n",
       "\t<li>'A07'</li>\n",
       "\t<li>'A08'</li>\n",
       "\t<li>'A09'</li>\n",
       "\t<li>'A10'</li>\n",
       "\t<li>'A11'</li>\n",
       "\t<li>'A12'</li>\n",
       "\t<li>'A13'</li>\n",
       "\t<li>'A14'</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'A01'\n",
       "\\item 'A02'\n",
       "\\item 'A03'\n",
       "\\item 'A04'\n",
       "\\item 'A05'\n",
       "\\item 'A06'\n",
       "\\item 'A07'\n",
       "\\item 'A08'\n",
       "\\item 'A09'\n",
       "\\item 'A10'\n",
       "\\item 'A11'\n",
       "\\item 'A12'\n",
       "\\item 'A13'\n",
       "\\item 'A14'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'A01'\n",
       "2. 'A02'\n",
       "3. 'A03'\n",
       "4. 'A04'\n",
       "5. 'A05'\n",
       "6. 'A06'\n",
       "7. 'A07'\n",
       "8. 'A08'\n",
       "9. 'A09'\n",
       "10. 'A10'\n",
       "11. 'A11'\n",
       "12. 'A12'\n",
       "13. 'A13'\n",
       "14. 'A14'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"A01\" \"A02\" \"A03\" \"A04\" \"A05\" \"A06\" \"A07\" \"A08\" \"A09\" \"A10\" \"A11\" \"A12\"\n",
       "[13] \"A13\" \"A14\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_to_well(1:14, plate = 384)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also convert alpha-numerical well labels into row and column positions on a plate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>well</th><th scope=col>val</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>A10              </td><td>-1.31743846934188</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>A11              </td><td>0.388102570298997</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>A12               </td><td>-0.340345482065108</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>B01             </td><td>1.10997718522557</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>B02              </td><td>0.707896010345693</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>B03             </td><td>1.04006906979301</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       "  & well & val\\\\\n",
       "\\hline\n",
       "\t1 & A10               & -1.31743846934188\\\\\n",
       "\t2 & A11               & 0.388102570298997\\\\\n",
       "\t3 & A12                & -0.340345482065108\\\\\n",
       "\t4 & B01              & 1.10997718522557\\\\\n",
       "\t5 & B02               & 0.707896010345693\\\\\n",
       "\t6 & B03              & 1.04006906979301\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "  well        val\n",
       "1  A10 -1.3174385\n",
       "2  A11  0.3881026\n",
       "3  A12 -0.3403455\n",
       "4  B01  1.1099772\n",
       "5  B02  0.7078960\n",
       "6  B03  1.0400691"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# generate example dataframe of well label and values\n",
    "example_df <- data.frame(well = num_to_well(10:19),\n",
    "                         val = rnorm(10))\n",
    "head(example_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>well</th><th scope=col>Row</th><th scope=col>Column</th><th scope=col>values</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>A10              </td><td>1                </td><td>10               </td><td>-1.31743846934188</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>A11              </td><td>1                </td><td>11               </td><td>0.388102570298997</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>A12               </td><td>1                 </td><td>12                </td><td>-0.340345482065108</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>B01             </td><td>2               </td><td>1               </td><td>1.10997718522557</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>B02              </td><td>2                </td><td>2                </td><td>0.707896010345693</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>B03             </td><td>2               </td><td>3               </td><td>1.04006906979301</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llll}\n",
       "  & well & Row & Column & values\\\\\n",
       "\\hline\n",
       "\t1 & A10               & 1                 & 10                & -1.31743846934188\\\\\n",
       "\t2 & A11               & 1                 & 11                & 0.388102570298997\\\\\n",
       "\t3 & A12                & 1                  & 12                 & -0.340345482065108\\\\\n",
       "\t4 & B01              & 2                & 1                & 1.10997718522557\\\\\n",
       "\t5 & B02               & 2                 & 2                 & 0.707896010345693\\\\\n",
       "\t6 & B03              & 2                & 3                & 1.04006906979301\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "  well Row Column     values\n",
       "1  A10   1     10 -1.3174385\n",
       "2  A11   1     11  0.3881026\n",
       "3  A12   1     12 -0.3403455\n",
       "4  B01   2      1  1.1099772\n",
       "5  B02   2      2  0.7078960\n",
       "6  B03   2      3  1.0400691"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calculate row and column values from well labels\n",
    "out <- plate_map(data = example_df$val,\n",
    "                 well = example_df$well)\n",
    "head(out)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting plate maps\n",
    "\n",
    "These functions allow us to plot platemaps from well labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      ],
      "text/plain": [
       "plot without title"
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     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# example dataframe\n",
    "df <- data.frame(vals = rnorm(1:384),\n",
    "                 well = num_to_well(1:384, plate = 384))\n",
    "\n",
    "raw_map(data = df$vals,\n",
    "        well = df$well,\n",
    "        plate = 384)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These plots can be modified with additional ggplot functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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       "<path style=\"fill:none;stroke-width:0.375;stroke-linecap:butt;stroke-linejoin:round;stroke:rgb(100%,100%,100%);stroke-opacity:1;stroke-miterlimit:10;\" d=\"M 391.089844 155.664062 L 394.546875 155.664062 \"/>\n",
       "<path style=\"fill:none;stroke-width:0.375;stroke-linecap:butt;stroke-linejoin:round;stroke:rgb(100%,100%,100%);stroke-opacity:1;stroke-miterlimit:10;\" d=\"M 391.089844 125.816406 L 394.546875 125.816406 \"/>\n",
       "<g style=\"fill:rgb(0%,0%,0%);fill-opacity:1;\">\n",
       "  <use xlink:href=\"#glyph2-1\" x=\"186.519531\" y=\"21.944336\"/>\n",
       "  <use xlink:href=\"#glyph2-2\" x=\"195.321289\" y=\"21.944336\"/>\n",
       "  <use xlink:href=\"#glyph2-3\" x=\"198.519531\" y=\"21.944336\"/>\n",
       "  <use xlink:href=\"#glyph2-4\" x=\"202.524414\" y=\"21.944336\"/>\n",
       "  <use xlink:href=\"#glyph2-5\" x=\"205.722656\" y=\"21.944336\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "raw_map(data = df$vals,\n",
    "        well = df$well,\n",
    "        plate = 384) + \n",
    "    ggtitle(\"Title\") + \n",
    "    theme_dark() +\n",
    "    scale_fill_viridis()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The platemaps handle missing wells without any trouble."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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

Dear Dr. Warchal, thanks for the amazing tool! It has been helping me a lot!

As I am relatively new in coding, I wonder if it would be possible to highlight the border of specific wells (based on a separate variable, for exemple). I tried to modify the final plot using common ggplot2 functions, without success. I wonder if you ever had a similar issue.

Thanks a lot in advance for the feedback!

Hi Lucas,

It's possible (but ugly) to to this with ggplot functions.

My idea was to plot squares over the top of the wells with another geom_point() call, and set the stroke conditionally on another column in the dataframe.

library(platetools)
library(ggplot2)

# create example data with 10% wells highlighted
df <- data.frame(
    vals = rnorm(384),
    well = num_to_well(1:384, plate=384),
    highlight = sample(c(TRUE, FALSE), prob=c(0.1, 0.9), 384, replace=TRUE)
)

raw_map(
    data=df$vals,
    well=df$well,
    plate=384,
    size=5
) +
geom_point(
    aes(stroke=df$highlight),
    color="red",
    pch=22,
    size=5
) +
theme_dark()

Dear Dr. Warchal, thank you very much for the reply!
It worked quite nicely for me! I haven't thought about the stroke argument and it was, indeed, a very elegant solution!
Have a nice day!