notebooks/EDA-DL-0-3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We explored the error file in `EDA-DL-0-1.ipynb` and saved a CSV of the failed download records, as it was not clear how we could potentially find those images from their Zenodo records (they didn't seem to be present in the records whose metadata listed them). There seem to be only 23 specimens that were not otherwise represented in our download.\n",
    "\n",
    "## Explore Downloaded Images\n",
    "\n",
    "We'll do an inner merge on the master file and checksums to get a master downloadable file, which will be further reduced to just unique images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42143, 3)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "checksums = pd.read_csv(\"../metadata/deduplication/Jiggins_Zenodo_Img_Master_3477891Patch_checksums.csv\", low_memory=False)\n",
    "checksums.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "filepath    42143\n",
       "filename    42143\n",
       "md5         36212\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "checksums.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Difference between these is the number of unique Image names among the duplicated images. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(44809, 28)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master = pd.read_csv(\"../metadata/Jiggins_Zenodo_Img_Master_3477891Patch.csv\", low_memory = False)\n",
    "master.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`filename` in `checksums` is `<X>_<Image_name>`, so we'll create such a `filename` column in `master` to merge the two DataFrames on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CAMID               11991\n",
       "X                   44809\n",
       "Image_name          36281\n",
       "View                    7\n",
       "zenodo_name            33\n",
       "zenodo_link            30\n",
       "Sequence            10905\n",
       "Taxonomic_Name        366\n",
       "Locality              645\n",
       "Sample_accession     1559\n",
       "Collected_by           12\n",
       "Other_ID             3081\n",
       "Date                  807\n",
       "Dataset                 8\n",
       "Store                 137\n",
       "Brood                 224\n",
       "Death_Date             81\n",
       "Cross_Type             30\n",
       "Stage                   1\n",
       "Sex                     3\n",
       "Unit_Type               4\n",
       "file_type               3\n",
       "record_number          30\n",
       "species               246\n",
       "subspecies            155\n",
       "genus                  94\n",
       "file_url            39297\n",
       "hybrid_stat             2\n",
       "filename            44809\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master[\"filename\"] = master[\"X\"].astype(str) + \"_\" + master[\"Image_name\"]\n",
    "master.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our number of unique downloaded images is 69 less than the number of unique values of `Image_name`. For reference, we recorded 612 unique `CAMID`s in our error log of 2666 images that could not be downloaded.\n",
    "\n",
    "### Merge `master` and `checksums`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42143, 31)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_checksums = pd.merge(master,\n",
    "                            checksums,\n",
    "                            on = \"filename\",\n",
    "                            how = \"inner\")\n",
    "# Expectation is 42143 entries now\n",
    "master_checksums.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CAMID         11968\n",
       "Image_name    36216\n",
       "X             42143\n",
       "filename      42143\n",
       "md5           36212\n",
       "file_url      36631\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "id_cols = [\"CAMID\", \"Image_name\", \"X\", \"filename\", \"md5\", \"file_url\"]\n",
    "master_checksums[id_cols].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "23 CAMIDs lost, as expected from the error evaluation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Did we lose any of our diversity? Taxonomic, image view, source (dataset or location of butterfly), etc. Only one stage is indicated in full master file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Taxonomic_Name    366\n",
       "species           246\n",
       "subspecies        155\n",
       "genus              94\n",
       "Cross_Type         30\n",
       "View                7\n",
       "Locality          644\n",
       "Sex                 3\n",
       "Dataset             7\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats_cols = [\"Taxonomic_Name\", \"species\", \"subspecies\", \"genus\", \"Cross_Type\", \"View\", \"Locality\", \"Sex\", \"Dataset\"]\n",
    "\n",
    "master_checksums[stats_cols].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We lost one location and one dataset source to unsuccessful downloads.\n",
    "\n",
    "#### Check on Lost Representation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24204    Huaymayaco\n",
       "Name: Locality, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master.loc[~master[\"Locality\"].isin(list(master_checksums[\"Locality\"].unique())), \"Locality\"].sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24233    Cambridge Collection\n",
       "Name: Dataset, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master.loc[~master[\"Dataset\"].isin(list(master_checksums[\"Dataset\"].unique())), \"Dataset\"].sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 47 entries, 24194 to 24240\n",
      "Data columns (total 29 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   CAMID             47 non-null     object\n",
      " 1   X                 47 non-null     int64 \n",
      " 2   Image_name        47 non-null     object\n",
      " 3   View              47 non-null     object\n",
      " 4   zenodo_name       47 non-null     object\n",
      " 5   zenodo_link       47 non-null     object\n",
      " 6   Sequence          47 non-null     object\n",
      " 7   Taxonomic_Name    47 non-null     object\n",
      " 8   Locality          47 non-null     object\n",
      " 9   Sample_accession  0 non-null      object\n",
      " 10  Collected_by      0 non-null      object\n",
      " 11  Other_ID          0 non-null      object\n",
      " 12  Date              47 non-null     object\n",
      " 13  Dataset           47 non-null     object\n",
      " 14  Store             0 non-null      object\n",
      " 15  Brood             0 non-null      object\n",
      " 16  Death_Date        47 non-null     object\n",
      " 17  Cross_Type        0 non-null      object\n",
      " 18  Stage             0 non-null      object\n",
      " 19  Sex               47 non-null     object\n",
      " 20  Unit_Type         47 non-null     object\n",
      " 21  file_type         47 non-null     object\n",
      " 22  record_number     47 non-null     int64 \n",
      " 23  species           47 non-null     object\n",
      " 24  subspecies        47 non-null     object\n",
      " 25  genus             47 non-null     object\n",
      " 26  file_url          47 non-null     object\n",
      " 27  hybrid_stat       47 non-null     object\n",
      " 28  filename          47 non-null     object\n",
      "dtypes: int64(2), object(27)\n",
      "memory usage: 11.0+ KB\n"
     ]
    }
   ],
   "source": [
    "missing_samples = master.loc[(master[\"Locality\"] == \"Huaymayaco\") | (master[\"Dataset\"] == \"Cambridge Collection\")] \n",
    "missing_samples.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "record_number\n",
       "4289223    47\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_samples.record_number.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This record ([4289223](https://zenodo.org/records/4289223)) was examined in `EDA-DL-0-2.ipynb`. The images were listed in the provided metadata file for that record, but they did not appear in the record itself.\n",
    "They are the majority of the images from Rachel Blow's Ecuador collection 2018 melpomene and timareta, near ikiam (taken in October 2019), listed in [0.2.rachel.blow.mel.tim.ikiam.csv](https://zenodo.org/records/4289223/preview/0.2.rachel.blow.mel.tim.ikiam.csv?include_deleted=0)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore Downloaded Images\n",
    "\n",
    "We have approximately 6000 duplicated images. We need to explore the information associated with each and reduce down to just unique images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Are CAMIDs consistent in naming that duplicate images share CAMID (in same format)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(11858, 32)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "CAMID                2815\n",
       "X                   11858\n",
       "Image_name           5931\n",
       "View                    2\n",
       "zenodo_name            15\n",
       "zenodo_link            15\n",
       "Sequence             2815\n",
       "Taxonomic_Name        195\n",
       "Locality              210\n",
       "Sample_accession      446\n",
       "Collected_by            0\n",
       "Other_ID              106\n",
       "Date                  200\n",
       "Dataset                 1\n",
       "Store                  58\n",
       "Brood                   9\n",
       "Death_Date              0\n",
       "Cross_Type              0\n",
       "Stage                   0\n",
       "Sex                     3\n",
       "Unit_Type               3\n",
       "file_type               3\n",
       "record_number          15\n",
       "species               121\n",
       "subspecies             93\n",
       "genus                  38\n",
       "file_url             6346\n",
       "hybrid_stat             2\n",
       "filename            11858\n",
       "filepath            11858\n",
       "md5                  5927\n",
       "duplicate_md5           1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_checksums[\"duplicate_md5\"] = master_checksums.duplicated(\"md5\", keep = False)\n",
    "duplicated_images = master_checksums.loc[master_checksums[\"duplicate_md5\"]]\n",
    "\n",
    "print(duplicated_images.shape)\n",
    "duplicated_images.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observations:\n",
    "- Half of the Zenodo records wind up with duplicated images. \n",
    "- `Image_name` uniqueness is close to `md5`, but there are 4 more unique image names than unique images. \n",
    "- None of the cross types are duplicated.\n",
    "- We do have multiple unique images for a single `CAMID`, more than just dorsal vs ventral since there are 2815 unique CAMIDs and 5927 unique `md5` values (5927 = 2x2815 + 297)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save master file of all downloaded images with MD5s (no duplicate marker)\n",
    "master_checksums[list(master_checksums.columns)[:-1]].to_csv(\"../metadata/deduplication/Jiggins_Zenodo_Img_Master_3477891Patch_downloaded.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9212"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_checksums.loc[~master_checksums[\"duplicate_md5\"], \"CAMID\"].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CAMID',\n",
       " 'X',\n",
       " 'Image_name',\n",
       " 'View',\n",
       " 'zenodo_name',\n",
       " 'zenodo_link',\n",
       " 'Sequence',\n",
       " 'Taxonomic_Name',\n",
       " 'Locality',\n",
       " 'Sample_accession',\n",
       " 'Other_ID',\n",
       " 'Date',\n",
       " 'Dataset',\n",
       " 'Store',\n",
       " 'Brood',\n",
       " 'Sex',\n",
       " 'Unit_Type',\n",
       " 'file_type',\n",
       " 'record_number',\n",
       " 'species',\n",
       " 'subspecies',\n",
       " 'genus',\n",
       " 'file_url',\n",
       " 'hybrid_stat',\n",
       " 'filename',\n",
       " 'filepath',\n",
       " 'md5',\n",
       " 'duplicate_md5']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_null_cols = [col for col in list(duplicated_images.columns) if duplicated_images.loc[duplicated_images[col].notna()].shape[0] > 0]\n",
    "non_null_cols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's remove all the columns with null values for easier analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 11858 entries, 3233 to 40186\n",
      "Data columns (total 28 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   CAMID             11858 non-null  object\n",
      " 1   X                 11858 non-null  int64 \n",
      " 2   Image_name        11858 non-null  object\n",
      " 3   View              11858 non-null  object\n",
      " 4   zenodo_name       11858 non-null  object\n",
      " 5   zenodo_link       11858 non-null  object\n",
      " 6   Sequence          11858 non-null  object\n",
      " 7   Taxonomic_Name    11858 non-null  object\n",
      " 8   Locality          11836 non-null  object\n",
      " 9   Sample_accession  1846 non-null   object\n",
      " 10  Other_ID          830 non-null    object\n",
      " 11  Date              10046 non-null  object\n",
      " 12  Dataset           11614 non-null  object\n",
      " 13  Store             11670 non-null  object\n",
      " 14  Brood             808 non-null    object\n",
      " 15  Sex               11474 non-null  object\n",
      " 16  Unit_Type         11614 non-null  object\n",
      " 17  file_type         11858 non-null  object\n",
      " 18  record_number     11858 non-null  int64 \n",
      " 19  species           11858 non-null  object\n",
      " 20  subspecies        8200 non-null   object\n",
      " 21  genus             11858 non-null  object\n",
      " 22  file_url          11858 non-null  object\n",
      " 23  hybrid_stat       8264 non-null   object\n",
      " 24  filename          11858 non-null  object\n",
      " 25  filepath          11858 non-null  object\n",
      " 26  md5               11858 non-null  object\n",
      " 27  duplicate_md5     11858 non-null  bool  \n",
      "dtypes: bool(1), int64(2), object(25)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "duplicated_images = duplicated_images[non_null_cols]\n",
    "duplicated_images.info(show_counts=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is some inconsistency with label coverage, which is hopefully resolvable for duplciated images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "record_number\n",
       "3477891    5501\n",
       "2707828    1276\n",
       "2714333    1113\n",
       "2686762     980\n",
       "2684906     747\n",
       "2677821     703\n",
       "2813153     435\n",
       "4291095     415\n",
       "2702457     260\n",
       "2682458     148\n",
       "2682669      92\n",
       "2552371      91\n",
       "2550097      50\n",
       "2553977      27\n",
       "5526257      20\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicated_images.record_number.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is mostly record 3477891 and the number of duplicate images in record 3477891 (5501) matches with the number of images that were matched to the multimedia CSV from that record to do the download patch. If I remove all instances of record 3477891, will we still have duplicates and will we have the same number of unique images?\n",
    "\n",
    "### Check without Record 3477891"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36642\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "CAMID         11968\n",
       "Image_name    36216\n",
       "X             36642\n",
       "filename      36642\n",
       "md5           36212\n",
       "file_url      36631\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch = master_checksums.loc[master_checksums[\"record_number\"] != 3477891]\n",
    "\n",
    "print(no_patch.shape[0])\n",
    "no_patch[id_cols].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yes, removing that record gives us the same number of unique images. ID Stats are consistent (unique MD5s and CAMIDs).\n",
    "\n",
    "We have 430 images that are duplicates (`X - md5`)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Would keeping it allow us to remove others?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CAMID          2704\n",
       "Image_name     5497\n",
       "X             10998\n",
       "filename      10998\n",
       "md5            5497\n",
       "file_url       5497\n",
       "dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_3477891_urls = list(master_checksums.loc[master_checksums[\"record_number\"] == 3477891, \"file_url\"].unique())\n",
    "\n",
    "rec_3477891_images = master_checksums.loc[master_checksums[\"file_url\"].isin(rec_3477891_urls)]\n",
    "\n",
    "rec_3477891_images[id_cols].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "record_number\n",
       "3477891    5501\n",
       "2707828    1276\n",
       "2714333    1113\n",
       "2686762     980\n",
       "2684906     747\n",
       "2677821     703\n",
       "2702457     260\n",
       "2682458     148\n",
       "2682669      92\n",
       "2552371      89\n",
       "2550097      50\n",
       "2813153      20\n",
       "2553977      19\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_3477891_images.record_number.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2677821\n",
      "X           769\n",
      "CAMID       387\n",
      "md5         769\n",
      "file_url    769\n",
      "dtype: int64\n",
      "\n",
      "3477891\n",
      "X           5501\n",
      "CAMID       2704\n",
      "md5         5497\n",
      "file_url    5497\n",
      "dtype: int64\n",
      "\n",
      "2682458\n",
      "X           950\n",
      "CAMID       476\n",
      "md5         950\n",
      "file_url    950\n",
      "dtype: int64\n",
      "\n",
      "2682669\n",
      "X           915\n",
      "CAMID       458\n",
      "md5         915\n",
      "file_url    915\n",
      "dtype: int64\n",
      "\n",
      "2684906\n",
      "X           977\n",
      "CAMID       492\n",
      "md5         977\n",
      "file_url    977\n",
      "dtype: int64\n",
      "\n",
      "2552371\n",
      "X           2392\n",
      "CAMID       1189\n",
      "md5         2391\n",
      "file_url    2392\n",
      "dtype: int64\n",
      "\n",
      "2553977\n",
      "X           158\n",
      "CAMID        79\n",
      "md5         154\n",
      "file_url    157\n",
      "dtype: int64\n",
      "\n",
      "2686762\n",
      "X           1384\n",
      "CAMID        694\n",
      "md5         1384\n",
      "file_url    1384\n",
      "dtype: int64\n",
      "\n",
      "2550097\n",
      "X           1400\n",
      "CAMID        351\n",
      "md5         1400\n",
      "file_url    1400\n",
      "dtype: int64\n",
      "\n",
      "2702457\n",
      "X           771\n",
      "CAMID       388\n",
      "md5         771\n",
      "file_url    771\n",
      "dtype: int64\n",
      "\n",
      "2813153\n",
      "X           523\n",
      "CAMID       158\n",
      "md5         523\n",
      "file_url    523\n",
      "dtype: int64\n",
      "\n",
      "2707828\n",
      "X           1292\n",
      "CAMID        646\n",
      "md5         1292\n",
      "file_url    1292\n",
      "dtype: int64\n",
      "\n",
      "2714333\n",
      "X           1356\n",
      "CAMID        647\n",
      "md5         1356\n",
      "file_url    1356\n",
      "dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for record in list(rec_3477891_images.record_number.unique()):\n",
    "    print(record)\n",
    "    temp = master_checksums.loc[master_checksums[\"record_number\"] == record]\n",
    "    print(temp[[\"X\",\"CAMID\", \"md5\", \"file_url\"]].nunique())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definitely cleaner to just remove record 3477891."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4289223\n",
      "X           145\n",
      "CAMID        73\n",
      "md5         145\n",
      "file_url    145\n",
      "dtype: int64\n",
      "\n",
      "4288311\n",
      "X           3088\n",
      "CAMID       1050\n",
      "md5         3088\n",
      "file_url    3088\n",
      "dtype: int64\n",
      "\n",
      "2677821\n",
      "X           769\n",
      "CAMID       387\n",
      "md5         769\n",
      "file_url    769\n",
      "dtype: int64\n",
      "\n",
      "2682458\n",
      "X           950\n",
      "CAMID       476\n",
      "md5         950\n",
      "file_url    950\n",
      "dtype: int64\n",
      "\n",
      "2682669\n",
      "X           915\n",
      "CAMID       458\n",
      "md5         915\n",
      "file_url    915\n",
      "dtype: int64\n",
      "\n",
      "2684906\n",
      "X           977\n",
      "CAMID       492\n",
      "md5         977\n",
      "file_url    977\n",
      "dtype: int64\n",
      "\n",
      "2552371\n",
      "X           2392\n",
      "CAMID       1189\n",
      "md5         2391\n",
      "file_url    2392\n",
      "dtype: int64\n",
      "\n",
      "2553977\n",
      "X           158\n",
      "CAMID        79\n",
      "md5         154\n",
      "file_url    157\n",
      "dtype: int64\n",
      "\n",
      "2686762\n",
      "X           1384\n",
      "CAMID        694\n",
      "md5         1384\n",
      "file_url    1384\n",
      "dtype: int64\n",
      "\n",
      "2549524\n",
      "X           1471\n",
      "CAMID        368\n",
      "md5         1471\n",
      "file_url    1471\n",
      "dtype: int64\n",
      "\n",
      "2550097\n",
      "X           1400\n",
      "CAMID        351\n",
      "md5         1400\n",
      "file_url    1400\n",
      "dtype: int64\n",
      "\n",
      "4153502\n",
      "X           583\n",
      "CAMID       147\n",
      "md5         583\n",
      "file_url    583\n",
      "dtype: int64\n",
      "\n",
      "3082688\n",
      "X           2917\n",
      "CAMID       1467\n",
      "md5         2917\n",
      "file_url    2917\n",
      "dtype: int64\n",
      "\n",
      "2813153\n",
      "X           523\n",
      "CAMID       158\n",
      "md5         523\n",
      "file_url    523\n",
      "dtype: int64\n",
      "\n",
      "1748277\n",
      "X           1992\n",
      "CAMID        499\n",
      "md5         1992\n",
      "file_url    1992\n",
      "dtype: int64\n",
      "\n",
      "2702457\n",
      "X           771\n",
      "CAMID       388\n",
      "md5         771\n",
      "file_url    771\n",
      "dtype: int64\n",
      "\n",
      "2548678\n",
      "X           1298\n",
      "CAMID        325\n",
      "md5         1298\n",
      "file_url    1298\n",
      "dtype: int64\n",
      "\n",
      "5561246\n",
      "X           1478\n",
      "CAMID        371\n",
      "md5         1478\n",
      "file_url    1478\n",
      "dtype: int64\n",
      "\n",
      "2707828\n",
      "X           1292\n",
      "CAMID        646\n",
      "md5         1292\n",
      "file_url    1292\n",
      "dtype: int64\n",
      "\n",
      "2714333\n",
      "X           1356\n",
      "CAMID        647\n",
      "md5         1356\n",
      "file_url    1356\n",
      "dtype: int64\n",
      "\n",
      "4291095\n",
      "X           2212\n",
      "CAMID        553\n",
      "md5         2212\n",
      "file_url    2212\n",
      "dtype: int64\n",
      "\n",
      "3569598\n",
      "X           1618\n",
      "CAMID        377\n",
      "md5         1618\n",
      "file_url    1618\n",
      "dtype: int64\n",
      "\n",
      "4287444\n",
      "X           1188\n",
      "CAMID        269\n",
      "md5         1188\n",
      "file_url    1188\n",
      "dtype: int64\n",
      "\n",
      "4288250\n",
      "X           2593\n",
      "CAMID        579\n",
      "md5         2593\n",
      "file_url    2593\n",
      "dtype: int64\n",
      "\n",
      "5526257\n",
      "X           1324\n",
      "CAMID        330\n",
      "md5         1314\n",
      "file_url    1314\n",
      "dtype: int64\n",
      "\n",
      "2553501\n",
      "X           464\n",
      "CAMID       232\n",
      "md5         464\n",
      "file_url    464\n",
      "dtype: int64\n",
      "\n",
      "2735056\n",
      "X           452\n",
      "CAMID       113\n",
      "md5         452\n",
      "file_url    452\n",
      "dtype: int64\n",
      "\n",
      "2554218\n",
      "X           492\n",
      "CAMID       123\n",
      "md5         492\n",
      "file_url    492\n",
      "dtype: int64\n",
      "\n",
      "2555086\n",
      "X           440\n",
      "CAMID       110\n",
      "md5         440\n",
      "file_url    440\n",
      "dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for record in list(no_patch.record_number.unique()):\n",
    "    print(record)\n",
    "    temp = no_patch.loc[no_patch[\"record_number\"] == record]\n",
    "    print(temp[[\"X\",\"CAMID\", \"md5\", \"file_url\"]].nunique())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Two records have a few duplicate images within them (record 2552371 has 1 and record 2553977 has 3)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_74270/343859278.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  no_patch[\"duplicate_md5\"] = no_patch.duplicated(\"md5\", keep = False)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "duplicate_md5\n",
       "False    35782\n",
       "True       860\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch[\"duplicate_md5\"] = no_patch.duplicated(\"md5\", keep = False)\n",
    "no_patch[\"duplicate_md5\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yes, we still have duplicates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CAMID         11864\n",
       "Image_name    35782\n",
       "X             35782\n",
       "filename      35782\n",
       "md5           35782\n",
       "file_url      35782\n",
       "dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_dupes = no_patch.loc[~no_patch[\"duplicate_md5\"]]\n",
    "non_dupes[id_cols].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "View\n",
       "dorsal                17019\n",
       "ventral               16954\n",
       "hindwing dorsal         254\n",
       "hindwing ventral        254\n",
       "forewing dorsal         252\n",
       "forewing ventral        252\n",
       "dorsal and ventral       18\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_dupes.View.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "file_type\n",
       "jpg    25618\n",
       "raw    10111\n",
       "tif       53\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_dupes.file_type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "View\n",
       "dorsal                12405\n",
       "ventral               12342\n",
       "hindwing dorsal         127\n",
       "hindwing ventral        127\n",
       "forewing dorsal         126\n",
       "forewing ventral        126\n",
       "dorsal and ventral       18\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_dupes.loc[non_dupes[\"file_type\"] != \"raw\", \"View\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So among our non-duplicated images we do see multiple images of the same specimen after accounting for file type and view of the specimen (as determined by the number of ventral or dorsal images)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the duplicates\n",
    "Ensure that we maintain all the available metadata associated with the images as we remove duplicates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 860 entries, 11978 to 40145\n",
      "Data columns (total 28 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   CAMID             860 non-null    object\n",
      " 1   X                 860 non-null    int64 \n",
      " 2   Image_name        860 non-null    object\n",
      " 3   View              860 non-null    object\n",
      " 4   zenodo_name       860 non-null    object\n",
      " 5   zenodo_link       860 non-null    object\n",
      " 6   Sequence          860 non-null    object\n",
      " 7   Taxonomic_Name    860 non-null    object\n",
      " 8   Locality          838 non-null    object\n",
      " 9   Sample_accession  0 non-null      object\n",
      " 10  Other_ID          806 non-null    object\n",
      " 11  Date              0 non-null      object\n",
      " 12  Dataset           616 non-null    object\n",
      " 13  Store             832 non-null    object\n",
      " 14  Brood             800 non-null    object\n",
      " 15  Sex               608 non-null    object\n",
      " 16  Unit_Type         616 non-null    object\n",
      " 17  file_type         860 non-null    object\n",
      " 18  record_number     860 non-null    int64 \n",
      " 19  species           860 non-null    object\n",
      " 20  subspecies        858 non-null    object\n",
      " 21  genus             860 non-null    object\n",
      " 22  file_url          860 non-null    object\n",
      " 23  hybrid_stat       858 non-null    object\n",
      " 24  filename          860 non-null    object\n",
      " 25  filepath          860 non-null    object\n",
      " 26  md5               860 non-null    object\n",
      " 27  duplicate_md5     860 non-null    bool  \n",
      "dtypes: bool(1), int64(2), object(25)\n",
      "memory usage: 189.0+ KB\n"
     ]
    }
   ],
   "source": [
    "no_patch_duplicates = no_patch.loc[no_patch[\"duplicate_md5\"]]\n",
    "\n",
    "no_patch_duplicates[non_null_cols].info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A couple more nulls were introduced."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CAMID         111\n",
       "Image_name    434\n",
       "X             860\n",
       "filename      860\n",
       "md5           430\n",
       "file_url      849\n",
       "dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch_duplicates[id_cols].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Taxonomic_Name    4\n",
       "species           3\n",
       "subspecies        3\n",
       "genus             1\n",
       "Cross_Type        0\n",
       "View              2\n",
       "Locality          6\n",
       "Sex               2\n",
       "Dataset           1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch_duplicates[stats_cols].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "record_number\n",
       "4291095    415\n",
       "2813153    415\n",
       "5526257     20\n",
       "2553977      8\n",
       "2552371      2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch_duplicates.record_number.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like we just have two of each image.\n",
    "\n",
    "I'd hazard a guess that records [4291095](https://zenodo.org/records/4291095) and [2813153](https://zenodo.org/records/2813153) are duplicates of each other and contain some of the images from the others (as there are 430 unique images).\n",
    "\n",
    "based on their descriptions (on Zenodo) it doesn't seem like they should have any overlap..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAMID</th>\n",
       "      <th>X</th>\n",
       "      <th>Image_name</th>\n",
       "      <th>View</th>\n",
       "      <th>zenodo_name</th>\n",
       "      <th>zenodo_link</th>\n",
       "      <th>Sequence</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>Locality</th>\n",
       "      <th>Sample_accession</th>\n",
       "      <th>...</th>\n",
       "      <th>record_number</th>\n",
       "      <th>species</th>\n",
       "      <th>subspecies</th>\n",
       "      <th>genus</th>\n",
       "      <th>file_url</th>\n",
       "      <th>hybrid_stat</th>\n",
       "      <th>filename</th>\n",
       "      <th>filepath</th>\n",
       "      <th>md5</th>\n",
       "      <th>duplicate_md5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32499</th>\n",
       "      <td>CAM041807</td>\n",
       "      <td>40194</td>\n",
       "      <td>CAM041807_d.CR2</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,807</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40194_CAM041807_d.CR2</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40194_C...</td>\n",
       "      <td>1ef3dbe7b286a34882d21ef39424f18a</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32502</th>\n",
       "      <td>CAM041807</td>\n",
       "      <td>40197</td>\n",
       "      <td>CAM041807_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,807</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40197_CAM041807_v.JPG</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40197_C...</td>\n",
       "      <td>844f9b09adda5d919694a8c1a38ca991</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32504</th>\n",
       "      <td>CAM041807</td>\n",
       "      <td>40195</td>\n",
       "      <td>CAM041807_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,807</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40195_CAM041807_d.JPG</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40195_C...</td>\n",
       "      <td>1e77684537bc187b8e82b0f9f4342275</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32505</th>\n",
       "      <td>CAM041807</td>\n",
       "      <td>40196</td>\n",
       "      <td>CAM041807_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,807</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40196_CAM041807_v.CR2</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40196_C...</td>\n",
       "      <td>b1daeb529e16952906c986d193bcc32d</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32507</th>\n",
       "      <td>CAM041808</td>\n",
       "      <td>40198</td>\n",
       "      <td>CAM041808_d.CR2</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,808</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40198_CAM041808_d.CR2</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40198_C...</td>\n",
       "      <td>e1b16f08005517abfda5ef098b11b8b1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32511</th>\n",
       "      <td>CAM041808</td>\n",
       "      <td>40201</td>\n",
       "      <td>CAM041808_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,808</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40201_CAM041808_v.JPG</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40201_C...</td>\n",
       "      <td>3325bc1d4bf98f1b49a7f9b1580cbf8d</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32512</th>\n",
       "      <td>CAM041808</td>\n",
       "      <td>40199</td>\n",
       "      <td>CAM041808_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,808</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40199_CAM041808_d.JPG</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40199_C...</td>\n",
       "      <td>5498918119fbcbdf714d3f31388336a2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32513</th>\n",
       "      <td>CAM041808</td>\n",
       "      <td>40200</td>\n",
       "      <td>CAM041808_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,808</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40200_CAM041808_v.CR2</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40200_C...</td>\n",
       "      <td>241d924503c32d33c44d0e6863da4d9c</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32517</th>\n",
       "      <td>CAM041809</td>\n",
       "      <td>40203</td>\n",
       "      <td>CAM041809_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,809</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40203_CAM041809_d.JPG</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40203_C...</td>\n",
       "      <td>6ab1ecd5eaf4b38bbe441565bc8b87ab</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32518</th>\n",
       "      <td>CAM041809</td>\n",
       "      <td>40205</td>\n",
       "      <td>CAM041809_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>0.gmk.broods.all.csv</td>\n",
       "      <td>https://zenodo.org/record/4291095</td>\n",
       "      <td>41,809</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>Ikiam Mariposario</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4291095</td>\n",
       "      <td>Heliconius erato</td>\n",
       "      <td>lativitta</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/4291095/files/CAM041...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>40205_CAM041809_v.JPG</td>\n",
       "      <td>images/Heliconius erato ssp. lativitta/40205_C...</td>\n",
       "      <td>78508c7ea9cf973b2d3dfe4d91fc11f1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           CAMID      X       Image_name     View           zenodo_name  \\\n",
       "32499  CAM041807  40194  CAM041807_d.CR2   dorsal  0.gmk.broods.all.csv   \n",
       "32502  CAM041807  40197  CAM041807_v.JPG  ventral  0.gmk.broods.all.csv   \n",
       "32504  CAM041807  40195  CAM041807_d.JPG   dorsal  0.gmk.broods.all.csv   \n",
       "32505  CAM041807  40196  CAM041807_v.CR2  ventral  0.gmk.broods.all.csv   \n",
       "32507  CAM041808  40198  CAM041808_d.CR2   dorsal  0.gmk.broods.all.csv   \n",
       "32511  CAM041808  40201  CAM041808_v.JPG  ventral  0.gmk.broods.all.csv   \n",
       "32512  CAM041808  40199  CAM041808_d.JPG   dorsal  0.gmk.broods.all.csv   \n",
       "32513  CAM041808  40200  CAM041808_v.CR2  ventral  0.gmk.broods.all.csv   \n",
       "32517  CAM041809  40203  CAM041809_d.JPG   dorsal  0.gmk.broods.all.csv   \n",
       "32518  CAM041809  40205  CAM041809_v.JPG  ventral  0.gmk.broods.all.csv   \n",
       "\n",
       "                             zenodo_link Sequence  \\\n",
       "32499  https://zenodo.org/record/4291095   41,807   \n",
       "32502  https://zenodo.org/record/4291095   41,807   \n",
       "32504  https://zenodo.org/record/4291095   41,807   \n",
       "32505  https://zenodo.org/record/4291095   41,807   \n",
       "32507  https://zenodo.org/record/4291095   41,808   \n",
       "32511  https://zenodo.org/record/4291095   41,808   \n",
       "32512  https://zenodo.org/record/4291095   41,808   \n",
       "32513  https://zenodo.org/record/4291095   41,808   \n",
       "32517  https://zenodo.org/record/4291095   41,809   \n",
       "32518  https://zenodo.org/record/4291095   41,809   \n",
       "\n",
       "                        Taxonomic_Name           Locality Sample_accession  \\\n",
       "32499  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32502  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32504  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32505  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32507  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32511  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32512  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32513  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32517  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "32518  Heliconius erato ssp. lativitta  Ikiam Mariposario              NaN   \n",
       "\n",
       "       ... record_number           species subspecies       genus  \\\n",
       "32499  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32502  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32504  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32505  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32507  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32511  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32512  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32513  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32517  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "32518  ...       4291095  Heliconius erato  lativitta  Heliconius   \n",
       "\n",
       "                                                file_url hybrid_stat  \\\n",
       "32499  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32502  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32504  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32505  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32507  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32511  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32512  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32513  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32517  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "32518  https://zenodo.org/record/4291095/files/CAM041...  non-hybrid   \n",
       "\n",
       "                    filename  \\\n",
       "32499  40194_CAM041807_d.CR2   \n",
       "32502  40197_CAM041807_v.JPG   \n",
       "32504  40195_CAM041807_d.JPG   \n",
       "32505  40196_CAM041807_v.CR2   \n",
       "32507  40198_CAM041808_d.CR2   \n",
       "32511  40201_CAM041808_v.JPG   \n",
       "32512  40199_CAM041808_d.JPG   \n",
       "32513  40200_CAM041808_v.CR2   \n",
       "32517  40203_CAM041809_d.JPG   \n",
       "32518  40205_CAM041809_v.JPG   \n",
       "\n",
       "                                                filepath  \\\n",
       "32499  images/Heliconius erato ssp. lativitta/40194_C...   \n",
       "32502  images/Heliconius erato ssp. lativitta/40197_C...   \n",
       "32504  images/Heliconius erato ssp. lativitta/40195_C...   \n",
       "32505  images/Heliconius erato ssp. lativitta/40196_C...   \n",
       "32507  images/Heliconius erato ssp. lativitta/40198_C...   \n",
       "32511  images/Heliconius erato ssp. lativitta/40201_C...   \n",
       "32512  images/Heliconius erato ssp. lativitta/40199_C...   \n",
       "32513  images/Heliconius erato ssp. lativitta/40200_C...   \n",
       "32517  images/Heliconius erato ssp. lativitta/40203_C...   \n",
       "32518  images/Heliconius erato ssp. lativitta/40205_C...   \n",
       "\n",
       "                                    md5 duplicate_md5  \n",
       "32499  1ef3dbe7b286a34882d21ef39424f18a          True  \n",
       "32502  844f9b09adda5d919694a8c1a38ca991          True  \n",
       "32504  1e77684537bc187b8e82b0f9f4342275          True  \n",
       "32505  b1daeb529e16952906c986d193bcc32d          True  \n",
       "32507  e1b16f08005517abfda5ef098b11b8b1          True  \n",
       "32511  3325bc1d4bf98f1b49a7f9b1580cbf8d          True  \n",
       "32512  5498918119fbcbdf714d3f31388336a2          True  \n",
       "32513  241d924503c32d33c44d0e6863da4d9c          True  \n",
       "32517  6ab1ecd5eaf4b38bbe441565bc8b87ab          True  \n",
       "32518  78508c7ea9cf973b2d3dfe4d91fc11f1          True  \n",
       "\n",
       "[10 rows x 32 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch_duplicates.loc[no_patch_duplicates[\"record_number\"] == 4291095].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_74270/3053018095.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  rec_4291095[\"dupes\"] = rec_4291095.duplicated(\"md5\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "dupes\n",
       "False    415\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_4291095 = no_patch_duplicates.loc[no_patch_duplicates[\"record_number\"] == 4291095]\n",
    "rec_4291095[\"dupes\"] = rec_4291095.duplicated(\"md5\")\n",
    "rec_4291095[\"dupes\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "415"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_patch_duplicates.loc[no_patch_duplicates[\"record_number\"].isin([4291095, 2813153]), \"md5\"].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These shouldn't be duplicates based on their Zenodo descriptions. Let's download their CSV files and check the metadata matches."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4291095 = pd.read_csv(\"../metadata/deduplication/Zenodo_meta_files/0.gmk.broods.all_(rec4291095).csv\", low_memory=False)\n",
    "df_2813153 = pd.read_csv(\"../metadata/deduplication/Zenodo_meta_files/CAM.coll.images.batch10_(rec2813153).csv\", low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2220, 591)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_4291095.shape[0], df_2813153.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "record_number\n",
       "4291095    2212\n",
       "2813153     523\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_checksums.loc[master_checksums[\"record_number\"].isin([4291095, 2813153]), \"record_number\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['image.name', 'unit.id', 'side'], dtype='object')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_4291095.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2212"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_4291095_check = pd.merge(master_checksums.loc[master_checksums[\"record_number\"] == 4291095],\n",
    "                             df_4291095,\n",
    "                             left_on = \"Image_name\",\n",
    "                             right_on = \"image.name\",\n",
    "                             how = \"inner\")\n",
    "\n",
    "rec_4291095_check.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Filename', 'UnitID', 'View'], dtype='object')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2813153.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "523"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_2813153_check = pd.merge(master_checksums.loc[master_checksums[\"record_number\"] == 2813153],\n",
    "                             df_2813153,\n",
    "                             left_on = \"Image_name\",\n",
    "                             right_on = \"Filename\",\n",
    "                             how = \"inner\")\n",
    "\n",
    "rec_2813153_check.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These do both seem to align properly, are the `UnitID`/`unit.id` overlapping for 415 images?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "415\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "X_x               415\n",
       "Image_name_x      415\n",
       "CAMID             104\n",
       "unit.id           104\n",
       "md5               415\n",
       "Taxonomic_Name      1\n",
       "X_y               415\n",
       "Image_name_y      415\n",
       "UnitID            104\n",
       "dtype: int64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_match = pd.merge(rec_4291095_check[[\"X\", \"Image_name\", \"CAMID\", \"unit.id\", \"md5\", \"Taxonomic_Name\"]],\n",
    "                    rec_2813153_check[[\"X\", \"Image_name\", \"CAMID\", \"UnitID\", \"md5\", \"Taxonomic_Name\"]],\n",
    "                    left_on = [\"CAMID\", \"unit.id\", \"Taxonomic_Name\", \"md5\"],\n",
    "                    right_on = [\"CAMID\", \"UnitID\", \"Taxonomic_Name\", \"md5\"],\n",
    "                    how = \"inner\")\n",
    "\n",
    "print(rec_match.shape[0])\n",
    "rec_match.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X_x</th>\n",
       "      <th>Image_name_x</th>\n",
       "      <th>CAMID</th>\n",
       "      <th>unit.id</th>\n",
       "      <th>md5</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>X_y</th>\n",
       "      <th>Image_name_y</th>\n",
       "      <th>UnitID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40194</td>\n",
       "      <td>CAM041807_d.CR2</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>1ef3dbe7b286a34882d21ef39424f18a</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>14461</td>\n",
       "      <td>CAM041807_d.CR2</td>\n",
       "      <td>CAM041807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40197</td>\n",
       "      <td>CAM041807_v.JPG</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>844f9b09adda5d919694a8c1a38ca991</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>14464</td>\n",
       "      <td>CAM041807_v.JPG</td>\n",
       "      <td>CAM041807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40195</td>\n",
       "      <td>CAM041807_d.JPG</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>1e77684537bc187b8e82b0f9f4342275</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>14462</td>\n",
       "      <td>CAM041807_d.JPG</td>\n",
       "      <td>CAM041807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40196</td>\n",
       "      <td>CAM041807_v.CR2</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>CAM041807</td>\n",
       "      <td>b1daeb529e16952906c986d193bcc32d</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>14463</td>\n",
       "      <td>CAM041807_v.CR2</td>\n",
       "      <td>CAM041807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40198</td>\n",
       "      <td>CAM041808_d.CR2</td>\n",
       "      <td>CAM041808</td>\n",
       "      <td>CAM041808</td>\n",
       "      <td>e1b16f08005517abfda5ef098b11b8b1</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>14465</td>\n",
       "      <td>CAM041808_d.CR2</td>\n",
       "      <td>CAM041808</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     X_x     Image_name_x      CAMID    unit.id  \\\n",
       "0  40194  CAM041807_d.CR2  CAM041807  CAM041807   \n",
       "1  40197  CAM041807_v.JPG  CAM041807  CAM041807   \n",
       "2  40195  CAM041807_d.JPG  CAM041807  CAM041807   \n",
       "3  40196  CAM041807_v.CR2  CAM041807  CAM041807   \n",
       "4  40198  CAM041808_d.CR2  CAM041808  CAM041808   \n",
       "\n",
       "                                md5                   Taxonomic_Name    X_y  \\\n",
       "0  1ef3dbe7b286a34882d21ef39424f18a  Heliconius erato ssp. lativitta  14461   \n",
       "1  844f9b09adda5d919694a8c1a38ca991  Heliconius erato ssp. lativitta  14464   \n",
       "2  1e77684537bc187b8e82b0f9f4342275  Heliconius erato ssp. lativitta  14462   \n",
       "3  b1daeb529e16952906c986d193bcc32d  Heliconius erato ssp. lativitta  14463   \n",
       "4  e1b16f08005517abfda5ef098b11b8b1  Heliconius erato ssp. lativitta  14465   \n",
       "\n",
       "      Image_name_y     UnitID  \n",
       "0  CAM041807_d.CR2  CAM041807  \n",
       "1  CAM041807_v.JPG  CAM041807  \n",
       "2  CAM041807_d.JPG  CAM041807  \n",
       "3  CAM041807_v.CR2  CAM041807  \n",
       "4  CAM041808_d.CR2  CAM041808  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_match.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The big question in removing duplicate records is just if all the metadata assoicated to the image remains the same. This would be all metadata other than `record_number`, `file_url`, `X`, `zenodo_link`, `zenodo_name` (CSV source), `Dataset` (Zenodo record name), `Image_name`, and possibly some other columns we don't usually work with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CAMID',\n",
       " 'View',\n",
       " 'Sequence',\n",
       " 'Taxonomic_Name',\n",
       " 'Locality',\n",
       " 'Other_ID',\n",
       " 'Store',\n",
       " 'Brood',\n",
       " 'Sex',\n",
       " 'Unit_Type',\n",
       " 'file_type',\n",
       " 'species',\n",
       " 'subspecies',\n",
       " 'genus',\n",
       " 'hybrid_stat',\n",
       " 'md5']"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_cols = [\"record_number\", \"file_url\", \"X\", \"zenodo_link\", \"zenodo_name\", \"filename\", \"filepath\", \"Image_name\", \"Dataset\"]\n",
    "\n",
    "merge_cols = [col for col in list(no_patch_duplicates.columns)[:-1] if (no_patch_duplicates.loc[no_patch_duplicates[col].notna()].shape[0] > 0) and (col not in diff_cols)]\n",
    "merge_cols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Start with these two larger overlaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(415, 32)"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_2813153 = no_patch_duplicates.loc[no_patch_duplicates[\"record_number\"] == 2813153]\n",
    "rec_2813153.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "311"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge_check = pd.merge(rec_4291095,\n",
    "                       rec_2813153,\n",
    "                       on = merge_cols,\n",
    "                       how = \"inner\")\n",
    "\n",
    "merge_check.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CAMID',\n",
       " 'X',\n",
       " 'Image_name',\n",
       " 'View',\n",
       " 'zenodo_name',\n",
       " 'zenodo_link',\n",
       " 'Sequence',\n",
       " 'Taxonomic_Name',\n",
       " 'Locality',\n",
       " 'Other_ID',\n",
       " 'Dataset',\n",
       " 'Store',\n",
       " 'Brood',\n",
       " 'Sex',\n",
       " 'Unit_Type',\n",
       " 'file_type',\n",
       " 'record_number',\n",
       " 'species',\n",
       " 'subspecies',\n",
       " 'genus',\n",
       " 'file_url',\n",
       " 'hybrid_stat',\n",
       " 'filename',\n",
       " 'filepath',\n",
       " 'md5']"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overlap_non_null_cols = [col for col in list(no_patch_duplicates.columns)[:-1] if (no_patch_duplicates.loc[no_patch_duplicates[col].notna()].shape[0] > 0)]\n",
    "overlap_non_null_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CAMID 415\n",
      "X 0\n",
      "Image_name 415\n",
      "View 311\n",
      "zenodo_name 0\n",
      "zenodo_link 0\n",
      "Sequence 415\n",
      "Taxonomic_Name 415\n",
      "Locality 415\n",
      "Other_ID 415\n",
      "Dataset 415\n",
      "Store 415\n",
      "Brood 415\n",
      "Sex 415\n",
      "Unit_Type 415\n",
      "file_type 415\n",
      "record_number 0\n",
      "species 415\n",
      "subspecies 415\n",
      "genus 415\n",
      "file_url 0\n",
      "hybrid_stat 415\n",
      "filename 0\n",
      "filepath 0\n",
      "md5 415\n"
     ]
    }
   ],
   "source": [
    "for col in overlap_non_null_cols:\n",
    "    merge_on = [\"md5\", col]\n",
    "    temp = pd.merge(rec_2813153,\n",
    "                    rec_4291095,\n",
    "                    on = merge_on,\n",
    "                    how = \"inner\")\n",
    "    print(col, temp.shape[0])\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Expected columns fail, but also `View` seems to be an issue, so let's look at where the view disagrees. Note that the `Image_name` seems to match for all of them, this could be an option for checking proper views."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(415, 9)"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view_check_cols = [\"X\", \"Image_name\", \"CAMID\", \"md5\", \"Taxonomic_Name\", \"View\", \"file_type\"]\n",
    "view_check = pd.merge(rec_2813153[view_check_cols],\n",
    "                      rec_4291095[view_check_cols],\n",
    "                      on = [\"Image_name\", \"CAMID\", \"md5\", \"Taxonomic_Name\", \"file_type\"],\n",
    "                      suffixes = (\"_28\", \"_42\"),\n",
    "                      how = \"inner\")\n",
    "\n",
    "view_check.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mismatched_view\n",
       "False    311\n",
       "True     104\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view_check[\"mismatched_view\"] = view_check[\"View_28\"] != view_check[\"View_42\"]\n",
    "view_check[\"mismatched_view\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X_28</th>\n",
       "      <th>Image_name</th>\n",
       "      <th>CAMID</th>\n",
       "      <th>md5</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>View_28</th>\n",
       "      <th>file_type</th>\n",
       "      <th>X_42</th>\n",
       "      <th>View_42</th>\n",
       "      <th>mismatched_view</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>14599</td>\n",
       "      <td>CAM041841_v.CR2</td>\n",
       "      <td>CAM041841</td>\n",
       "      <td>005a48b915e7c5a750648e5f37ea5fd8</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40332</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>14579</td>\n",
       "      <td>CAM041836_v.CR2</td>\n",
       "      <td>CAM041836</td>\n",
       "      <td>6c816d18dc8c903fbdbfb93f4c04c3b0</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40312</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>14611</td>\n",
       "      <td>CAM041844_v.CR2</td>\n",
       "      <td>CAM041844</td>\n",
       "      <td>59e2410288a9636c691086cc3720c761</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40344</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>14519</td>\n",
       "      <td>CAM041821_v.CR2</td>\n",
       "      <td>CAM041821</td>\n",
       "      <td>57163f6da6697359d233a6e712373b7d</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40252</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>14743</td>\n",
       "      <td>CAM041878_v.CR2</td>\n",
       "      <td>CAM041878</td>\n",
       "      <td>171701048825a19051127dc253e39e50</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40477</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>14547</td>\n",
       "      <td>CAM041828_v.CR2</td>\n",
       "      <td>CAM041828</td>\n",
       "      <td>c6de0b670edbe46881497bf60b1f9853</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40280</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>14655</td>\n",
       "      <td>CAM041856_v.CR2</td>\n",
       "      <td>CAM041856</td>\n",
       "      <td>6f5face02339ba69483f6dbf6c0aa601</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40389</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>14479</td>\n",
       "      <td>CAM041811_v.CR2</td>\n",
       "      <td>CAM041811</td>\n",
       "      <td>9cb25be5951488b9e37342586cb678f6</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40212</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>14751</td>\n",
       "      <td>CAM041880_v.CR2</td>\n",
       "      <td>CAM041880</td>\n",
       "      <td>b27fa3842baba1f3bb1679419dd009e7</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40485</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>14771</td>\n",
       "      <td>CAM041885_v.CR2</td>\n",
       "      <td>CAM041885</td>\n",
       "      <td>d7105469b2c4b24fb288e7e3b9b1241d</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>raw</td>\n",
       "      <td>40505</td>\n",
       "      <td>ventral</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      X_28       Image_name      CAMID                               md5  \\\n",
       "136  14599  CAM041841_v.CR2  CAM041841  005a48b915e7c5a750648e5f37ea5fd8   \n",
       "118  14579  CAM041836_v.CR2  CAM041836  6c816d18dc8c903fbdbfb93f4c04c3b0   \n",
       "148  14611  CAM041844_v.CR2  CAM041844  59e2410288a9636c691086cc3720c761   \n",
       "56   14519  CAM041821_v.CR2  CAM041821  57163f6da6697359d233a6e712373b7d   \n",
       "281  14743  CAM041878_v.CR2  CAM041878  171701048825a19051127dc253e39e50   \n",
       "86   14547  CAM041828_v.CR2  CAM041828  c6de0b670edbe46881497bf60b1f9853   \n",
       "194  14655  CAM041856_v.CR2  CAM041856  6f5face02339ba69483f6dbf6c0aa601   \n",
       "18   14479  CAM041811_v.CR2  CAM041811  9cb25be5951488b9e37342586cb678f6   \n",
       "290  14751  CAM041880_v.CR2  CAM041880  b27fa3842baba1f3bb1679419dd009e7   \n",
       "310  14771  CAM041885_v.CR2  CAM041885  d7105469b2c4b24fb288e7e3b9b1241d   \n",
       "\n",
       "                      Taxonomic_Name View_28 file_type   X_42  View_42  \\\n",
       "136  Heliconius erato ssp. lativitta  dorsal       raw  40332  ventral   \n",
       "118  Heliconius erato ssp. lativitta  dorsal       raw  40312  ventral   \n",
       "148  Heliconius erato ssp. lativitta  dorsal       raw  40344  ventral   \n",
       "56   Heliconius erato ssp. lativitta  dorsal       raw  40252  ventral   \n",
       "281  Heliconius erato ssp. lativitta  dorsal       raw  40477  ventral   \n",
       "86   Heliconius erato ssp. lativitta  dorsal       raw  40280  ventral   \n",
       "194  Heliconius erato ssp. lativitta  dorsal       raw  40389  ventral   \n",
       "18   Heliconius erato ssp. lativitta  dorsal       raw  40212  ventral   \n",
       "290  Heliconius erato ssp. lativitta  dorsal       raw  40485  ventral   \n",
       "310  Heliconius erato ssp. lativitta  dorsal       raw  40505  ventral   \n",
       "\n",
       "     mismatched_view  \n",
       "136             True  \n",
       "118             True  \n",
       "148             True  \n",
       "56              True  \n",
       "281             True  \n",
       "86              True  \n",
       "194             True  \n",
       "18              True  \n",
       "290             True  \n",
       "310             True  "
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view_check.loc[view_check[\"mismatched_view\"]].sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "file_type\n",
       "raw    104\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view_check.loc[view_check[\"mismatched_view\"], \"file_type\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahh only the raw photos have the mismatch. Were they the only ones mislabeled or were their associated JPGs mislabeled?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X_28</th>\n",
       "      <th>Image_name</th>\n",
       "      <th>CAMID</th>\n",
       "      <th>md5</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>View_28</th>\n",
       "      <th>file_type</th>\n",
       "      <th>X_42</th>\n",
       "      <th>View_42</th>\n",
       "      <th>mismatched_view</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>14738</td>\n",
       "      <td>CAM041877_d.JPG</td>\n",
       "      <td>CAM041877</td>\n",
       "      <td>7cba96d6031a6c4b8ccdb9971a5f9728</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40472</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>14582</td>\n",
       "      <td>CAM041837_d.JPG</td>\n",
       "      <td>CAM041837</td>\n",
       "      <td>a7cc8d0b392b2088e122b736e8a09650</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40315</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>14810</td>\n",
       "      <td>CAM041895_d.JPG</td>\n",
       "      <td>CAM041895</td>\n",
       "      <td>60d3c82b6c57c08e3c71b73982aa1f09</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40544</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>14740</td>\n",
       "      <td>CAM041877_v.JPG</td>\n",
       "      <td>CAM041877</td>\n",
       "      <td>46eaec54590b045ab352728a4b12441a</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>ventral</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40474</td>\n",
       "      <td>ventral</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>14644</td>\n",
       "      <td>CAM041852_v.JPG</td>\n",
       "      <td>CAM041852</td>\n",
       "      <td>40b5d568cf0ab0590756181307dbf3df</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>ventral</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40377</td>\n",
       "      <td>ventral</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>14638</td>\n",
       "      <td>CAM041851_d.JPG</td>\n",
       "      <td>CAM041851</td>\n",
       "      <td>6e0ef053a5208fb33fe612777e85fe90</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40371</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>14564</td>\n",
       "      <td>CAM041832_v.JPG</td>\n",
       "      <td>CAM041832</td>\n",
       "      <td>a0f4b27b90a322c36c26d8375f303adb</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>ventral</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40297</td>\n",
       "      <td>ventral</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>14534</td>\n",
       "      <td>CAM041825_d.JPG</td>\n",
       "      <td>CAM041825</td>\n",
       "      <td>795185b9e27ff897d94278a11eec5c99</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40267</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>14646</td>\n",
       "      <td>CAM041853_d.JPG</td>\n",
       "      <td>CAM041853</td>\n",
       "      <td>9f3ad95d8ff999ac4b8bb76cad171aaf</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40379</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>14742</td>\n",
       "      <td>CAM041878_d.JPG</td>\n",
       "      <td>CAM041878</td>\n",
       "      <td>c0d154ebbf7552bcdbcb233556a5f286</td>\n",
       "      <td>Heliconius erato ssp. lativitta</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>jpg</td>\n",
       "      <td>40476</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      X_28       Image_name      CAMID                               md5  \\\n",
       "276  14738  CAM041877_d.JPG  CAM041877  7cba96d6031a6c4b8ccdb9971a5f9728   \n",
       "121  14582  CAM041837_d.JPG  CAM041837  a7cc8d0b392b2088e122b736e8a09650   \n",
       "346  14810  CAM041895_d.JPG  CAM041895  60d3c82b6c57c08e3c71b73982aa1f09   \n",
       "278  14740  CAM041877_v.JPG  CAM041877  46eaec54590b045ab352728a4b12441a   \n",
       "180  14644  CAM041852_v.JPG  CAM041852  40b5d568cf0ab0590756181307dbf3df   \n",
       "176  14638  CAM041851_d.JPG  CAM041851  6e0ef053a5208fb33fe612777e85fe90   \n",
       "103  14564  CAM041832_v.JPG  CAM041832  a0f4b27b90a322c36c26d8375f303adb   \n",
       "74   14534  CAM041825_d.JPG  CAM041825  795185b9e27ff897d94278a11eec5c99   \n",
       "186  14646  CAM041853_d.JPG  CAM041853  9f3ad95d8ff999ac4b8bb76cad171aaf   \n",
       "283  14742  CAM041878_d.JPG  CAM041878  c0d154ebbf7552bcdbcb233556a5f286   \n",
       "\n",
       "                      Taxonomic_Name  View_28 file_type   X_42  View_42  \\\n",
       "276  Heliconius erato ssp. lativitta   dorsal       jpg  40472   dorsal   \n",
       "121  Heliconius erato ssp. lativitta   dorsal       jpg  40315   dorsal   \n",
       "346  Heliconius erato ssp. lativitta   dorsal       jpg  40544   dorsal   \n",
       "278  Heliconius erato ssp. lativitta  ventral       jpg  40474  ventral   \n",
       "180  Heliconius erato ssp. lativitta  ventral       jpg  40377  ventral   \n",
       "176  Heliconius erato ssp. lativitta   dorsal       jpg  40371   dorsal   \n",
       "103  Heliconius erato ssp. lativitta  ventral       jpg  40297  ventral   \n",
       "74   Heliconius erato ssp. lativitta   dorsal       jpg  40267   dorsal   \n",
       "186  Heliconius erato ssp. lativitta   dorsal       jpg  40379   dorsal   \n",
       "283  Heliconius erato ssp. lativitta   dorsal       jpg  40476   dorsal   \n",
       "\n",
       "     mismatched_view  \n",
       "276            False  \n",
       "121            False  \n",
       "346            False  \n",
       "278            False  \n",
       "180            False  \n",
       "176            False  \n",
       "103            False  \n",
       "74             False  \n",
       "186            False  \n",
       "283            False  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mismatched_view_cams = list(view_check.loc[view_check[\"mismatched_view\"], \"CAMID\"].unique())\n",
    "view_check.loc[(view_check[\"CAMID\"].isin(mismatched_view_cams)) & (view_check[\"file_type\"] == \"jpg\")].sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, it _seems_ that it was just the raw photos that were mislabeled. We'll keep those updates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From this sample, it looks like record 42 fixed some mislabels from record 28. Should probably check if record 3477891 fixed mislabeling from the earlier records that it duplicated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check Record 3477891 Duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CAMID          2704\n",
       "Image_name     5497\n",
       "X             10998\n",
       "filename      10998\n",
       "md5            5497\n",
       "file_url       5497\n",
       "dtype: int64"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "md5s_3477891 = list(master_checksums.loc[master_checksums[\"record_number\"] == 3477891, \"md5\"].unique())\n",
    "patch_dupes = master_checksums.loc[master_checksums[\"md5\"].isin(md5s_3477891)]\n",
    "patch_dupes[id_cols].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "patch_df = patch_dupes.loc[patch_dupes[\"record_number\"] == 3477891]\n",
    "patch_matches = patch_dupes.loc[patch_dupes[\"record_number\"] != 3477891]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CAMID 5501\n",
      "X 0\n",
      "Image_name 5501\n",
      "View 5495\n",
      "zenodo_name 0\n",
      "zenodo_link 0\n",
      "Sequence 5501\n",
      "Taxonomic_Name 5501\n",
      "Locality 5501\n",
      "Sample_accession 5501\n",
      "Other_ID 5501\n",
      "Date 5501\n",
      "Dataset 5501\n",
      "Store 5501\n",
      "Brood 5501\n",
      "Sex 5501\n",
      "Unit_Type 5501\n",
      "file_type 5501\n",
      "record_number 0\n",
      "species 5501\n",
      "subspecies 5501\n",
      "genus 5501\n",
      "file_url 5501\n",
      "hybrid_stat 5501\n",
      "filename 0\n",
      "filepath 0\n",
      "md5 5501\n"
     ]
    }
   ],
   "source": [
    "patch_non_null_cols = [col for col in list(patch_dupes.columns)[:-1] if (patch_dupes.loc[patch_dupes[col].notna()].shape[0] > 0)]\n",
    "for col in patch_non_null_cols:\n",
    "    merge_on = [\"md5\", col]\n",
    "    temp = pd.merge(patch_df,\n",
    "                    patch_matches,\n",
    "                    on = merge_on,\n",
    "                    how = \"inner\")\n",
    "    print(col, temp.shape[0])\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We again have the only inconsistency in the `View` column, where they do not align exactly (though it's only 6 differences)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5501, 8)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "mismatched_view\n",
       "False    5495\n",
       "True        6\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "patch_view_check = pd.merge(patch_matches[view_check_cols],\n",
    "                      patch_df[view_check_cols],\n",
    "                      on = [\"Image_name\", \"CAMID\", \"md5\", \"Taxonomic_Name\"],\n",
    "                      suffixes = (\"_old\", \"_patch\"),\n",
    "                      how = \"inner\")\n",
    "\n",
    "print(patch_view_check.shape)\n",
    "\n",
    "patch_view_check[\"mismatched_view\"] = patch_view_check[\"View_old\"] != patch_view_check[\"View_patch\"]\n",
    "patch_view_check[\"mismatched_view\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X_old</th>\n",
       "      <th>Image_name</th>\n",
       "      <th>CAMID</th>\n",
       "      <th>md5</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>View_old</th>\n",
       "      <th>X_patch</th>\n",
       "      <th>View_patch</th>\n",
       "      <th>mismatched_view</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1689</th>\n",
       "      <td>26075</td>\n",
       "      <td>DSC_0697.jpg</td>\n",
       "      <td>CAM008523</td>\n",
       "      <td>764c722faeefa48aed09aef1956738a8</td>\n",
       "      <td>Heliconius timareta ssp. timareta</td>\n",
       "      <td>ventral</td>\n",
       "      <td>49955</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1871</th>\n",
       "      <td>26059</td>\n",
       "      <td>8624-UND.jpg</td>\n",
       "      <td>CAM008624</td>\n",
       "      <td>4a3b6c97a131436f3e5f95b0ef7695d2</td>\n",
       "      <td>Heliconius timareta ssp. thelxinoe</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44341</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1880</th>\n",
       "      <td>26061</td>\n",
       "      <td>8628-UND.jpg</td>\n",
       "      <td>CAM008628</td>\n",
       "      <td>97fdfb3de2e4a34f1c243056348962c5</td>\n",
       "      <td>Heliconius timareta ssp. thelxinoe</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44342</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1886</th>\n",
       "      <td>26063</td>\n",
       "      <td>8631-UND.jpg</td>\n",
       "      <td>CAM008631</td>\n",
       "      <td>e1c82f4e814c7a6c56ebc34b0f502298</td>\n",
       "      <td>Heliconius timareta ssp. thelxinoe</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44343</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2516</th>\n",
       "      <td>26066</td>\n",
       "      <td>9117_H_m_ecuadorensis_V.JPG.jpg</td>\n",
       "      <td>CAM009117</td>\n",
       "      <td>66a8b638d961955d3cd168c3168667ed</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44375</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2531</th>\n",
       "      <td>26068</td>\n",
       "      <td>9121_H_m_ecuadorensis_V.JPG.jpg</td>\n",
       "      <td>CAM009121</td>\n",
       "      <td>a14ff471e6be6c26bc2c0d8409a7a1e0</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44379</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      X_old                       Image_name      CAMID  \\\n",
       "1689  26075                     DSC_0697.jpg  CAM008523   \n",
       "1871  26059                     8624-UND.jpg  CAM008624   \n",
       "1880  26061                     8628-UND.jpg  CAM008628   \n",
       "1886  26063                     8631-UND.jpg  CAM008631   \n",
       "2516  26066  9117_H_m_ecuadorensis_V.JPG.jpg  CAM009117   \n",
       "2531  26068  9121_H_m_ecuadorensis_V.JPG.jpg  CAM009121   \n",
       "\n",
       "                                   md5  \\\n",
       "1689  764c722faeefa48aed09aef1956738a8   \n",
       "1871  4a3b6c97a131436f3e5f95b0ef7695d2   \n",
       "1880  97fdfb3de2e4a34f1c243056348962c5   \n",
       "1886  e1c82f4e814c7a6c56ebc34b0f502298   \n",
       "2516  66a8b638d961955d3cd168c3168667ed   \n",
       "2531  a14ff471e6be6c26bc2c0d8409a7a1e0   \n",
       "\n",
       "                              Taxonomic_Name View_old  X_patch View_patch  \\\n",
       "1689       Heliconius timareta ssp. timareta  ventral    49955     dorsal   \n",
       "1871      Heliconius timareta ssp. thelxinoe  ventral    44341     dorsal   \n",
       "1880      Heliconius timareta ssp. thelxinoe  ventral    44342     dorsal   \n",
       "1886      Heliconius timareta ssp. thelxinoe  ventral    44343     dorsal   \n",
       "2516  Heliconius melpomene ssp. ecuadorensis  ventral    44375     dorsal   \n",
       "2531  Heliconius melpomene ssp. ecuadorensis  ventral    44379     dorsal   \n",
       "\n",
       "      mismatched_view  \n",
       "1689             True  \n",
       "1871             True  \n",
       "1880             True  \n",
       "1886             True  \n",
       "2516             True  \n",
       "2531             True  "
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "patch_view_check.loc[patch_view_check[\"mismatched_view\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X_old</th>\n",
       "      <th>Image_name</th>\n",
       "      <th>CAMID</th>\n",
       "      <th>md5</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>View_old</th>\n",
       "      <th>X_patch</th>\n",
       "      <th>View_patch</th>\n",
       "      <th>mismatched_view</th>\n",
       "      <th>md5_dupe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2516</th>\n",
       "      <td>26066</td>\n",
       "      <td>9117_H_m_ecuadorensis_V.JPG.jpg</td>\n",
       "      <td>CAM009117</td>\n",
       "      <td>66a8b638d961955d3cd168c3168667ed</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44375</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2517</th>\n",
       "      <td>26066</td>\n",
       "      <td>9117_H_m_ecuadorensis_V.JPG.jpg</td>\n",
       "      <td>CAM009117</td>\n",
       "      <td>66a8b638d961955d3cd168c3168667ed</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44374</td>\n",
       "      <td>ventral</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2519</th>\n",
       "      <td>26065</td>\n",
       "      <td>9117_H_m_ecuadorensis_D.JPG.jpg</td>\n",
       "      <td>CAM009117</td>\n",
       "      <td>d10fcc5232e4c994d32e8181cb6e71e1</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>44372</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2520</th>\n",
       "      <td>26065</td>\n",
       "      <td>9117_H_m_ecuadorensis_D.JPG.jpg</td>\n",
       "      <td>CAM009117</td>\n",
       "      <td>d10fcc5232e4c994d32e8181cb6e71e1</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>44373</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2529</th>\n",
       "      <td>26067</td>\n",
       "      <td>9121_H_m_ecuadorensis_D.JPG.jpg</td>\n",
       "      <td>CAM009121</td>\n",
       "      <td>d53b79f77d12e7da1eb2ddf17418de9c</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>44376</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2530</th>\n",
       "      <td>26067</td>\n",
       "      <td>9121_H_m_ecuadorensis_D.JPG.jpg</td>\n",
       "      <td>CAM009121</td>\n",
       "      <td>d53b79f77d12e7da1eb2ddf17418de9c</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>44377</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2531</th>\n",
       "      <td>26068</td>\n",
       "      <td>9121_H_m_ecuadorensis_V.JPG.jpg</td>\n",
       "      <td>CAM009121</td>\n",
       "      <td>a14ff471e6be6c26bc2c0d8409a7a1e0</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44379</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2532</th>\n",
       "      <td>26068</td>\n",
       "      <td>9121_H_m_ecuadorensis_V.JPG.jpg</td>\n",
       "      <td>CAM009121</td>\n",
       "      <td>a14ff471e6be6c26bc2c0d8409a7a1e0</td>\n",
       "      <td>Heliconius melpomene ssp. ecuadorensis</td>\n",
       "      <td>ventral</td>\n",
       "      <td>44378</td>\n",
       "      <td>ventral</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      X_old                       Image_name      CAMID  \\\n",
       "2516  26066  9117_H_m_ecuadorensis_V.JPG.jpg  CAM009117   \n",
       "2517  26066  9117_H_m_ecuadorensis_V.JPG.jpg  CAM009117   \n",
       "2519  26065  9117_H_m_ecuadorensis_D.JPG.jpg  CAM009117   \n",
       "2520  26065  9117_H_m_ecuadorensis_D.JPG.jpg  CAM009117   \n",
       "2529  26067  9121_H_m_ecuadorensis_D.JPG.jpg  CAM009121   \n",
       "2530  26067  9121_H_m_ecuadorensis_D.JPG.jpg  CAM009121   \n",
       "2531  26068  9121_H_m_ecuadorensis_V.JPG.jpg  CAM009121   \n",
       "2532  26068  9121_H_m_ecuadorensis_V.JPG.jpg  CAM009121   \n",
       "\n",
       "                                   md5  \\\n",
       "2516  66a8b638d961955d3cd168c3168667ed   \n",
       "2517  66a8b638d961955d3cd168c3168667ed   \n",
       "2519  d10fcc5232e4c994d32e8181cb6e71e1   \n",
       "2520  d10fcc5232e4c994d32e8181cb6e71e1   \n",
       "2529  d53b79f77d12e7da1eb2ddf17418de9c   \n",
       "2530  d53b79f77d12e7da1eb2ddf17418de9c   \n",
       "2531  a14ff471e6be6c26bc2c0d8409a7a1e0   \n",
       "2532  a14ff471e6be6c26bc2c0d8409a7a1e0   \n",
       "\n",
       "                              Taxonomic_Name View_old  X_patch View_patch  \\\n",
       "2516  Heliconius melpomene ssp. ecuadorensis  ventral    44375     dorsal   \n",
       "2517  Heliconius melpomene ssp. ecuadorensis  ventral    44374    ventral   \n",
       "2519  Heliconius melpomene ssp. ecuadorensis   dorsal    44372     dorsal   \n",
       "2520  Heliconius melpomene ssp. ecuadorensis   dorsal    44373     dorsal   \n",
       "2529  Heliconius melpomene ssp. ecuadorensis   dorsal    44376     dorsal   \n",
       "2530  Heliconius melpomene ssp. ecuadorensis   dorsal    44377     dorsal   \n",
       "2531  Heliconius melpomene ssp. ecuadorensis  ventral    44379     dorsal   \n",
       "2532  Heliconius melpomene ssp. ecuadorensis  ventral    44378    ventral   \n",
       "\n",
       "      mismatched_view  md5_dupe  \n",
       "2516             True      True  \n",
       "2517            False      True  \n",
       "2519            False      True  \n",
       "2520            False      True  \n",
       "2529            False      True  \n",
       "2530            False      True  \n",
       "2531             True      True  \n",
       "2532            False      True  "
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "patch_view_check[\"md5_dupe\"] = patch_view_check.duplicated(\"md5\", keep = False)\n",
    "patch_view_check.loc[patch_view_check[\"md5_dupe\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Manual check and confirmation with Christopher suggests that the additions (and duplications) were mislabled, so we will be proceeding without the patch."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check the final Non-patch duplicates\n",
    "Those not in records `4291095, 2813153`:\n",
    "```\n",
    "5526257     20\n",
    "2553977      8\n",
    "2552371      2\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "small_overlap = no_patch_duplicates.loc[~no_patch_duplicates[\"record_number\"].isin([4291095, 2813153])]\n",
    "small_overlap.md5.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAMID</th>\n",
       "      <th>X</th>\n",
       "      <th>Image_name</th>\n",
       "      <th>View</th>\n",
       "      <th>zenodo_name</th>\n",
       "      <th>zenodo_link</th>\n",
       "      <th>Sequence</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>Locality</th>\n",
       "      <th>Sample_accession</th>\n",
       "      <th>...</th>\n",
       "      <th>record_number</th>\n",
       "      <th>species</th>\n",
       "      <th>subspecies</th>\n",
       "      <th>genus</th>\n",
       "      <th>file_url</th>\n",
       "      <th>hybrid_stat</th>\n",
       "      <th>filename</th>\n",
       "      <th>filepath</th>\n",
       "      <th>md5</th>\n",
       "      <th>duplicate_md5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11978</th>\n",
       "      <td>CAM010354</td>\n",
       "      <td>23471</td>\n",
       "      <td>10354d.jpg</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part1.csv</td>\n",
       "      <td>https://zenodo.org/record/2552371</td>\n",
       "      <td>10,354</td>\n",
       "      <td>Heliconius sp.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2552371</td>\n",
       "      <td>Heliconius sp.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2552371/files/10354d...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23471_10354d.jpg</td>\n",
       "      <td>images/Heliconius sp./23471_10354d.jpg</td>\n",
       "      <td>84d4ac6527458786cdb33166cd80e0a8</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12010</th>\n",
       "      <td>CAM010362</td>\n",
       "      <td>23484</td>\n",
       "      <td>10362v.jpg</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part1.csv</td>\n",
       "      <td>https://zenodo.org/record/2552371</td>\n",
       "      <td>10,362</td>\n",
       "      <td>Heliconius sp.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2552371</td>\n",
       "      <td>Heliconius sp.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2552371/files/10362v...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23484_10362v.jpg</td>\n",
       "      <td>images/Heliconius sp./23484_10362v.jpg</td>\n",
       "      <td>84d4ac6527458786cdb33166cd80e0a8</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40112</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26102</td>\n",
       "      <td>CAM050036_S1_9_FW_IMG_8547_wb_2.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,036</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26102_CAM050036_S1_9_FW_IMG_8547_wb_2.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26102_CAM0500...</td>\n",
       "      <td>34adbd5596f977834fb2c6876d2f4493</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40113</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26105</td>\n",
       "      <td>CAM050036_S1_9_HW_wt_IMG_8541_cut3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,036</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26105_CAM050036_S1_9_HW_wt_IMG_8541_cut3.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26105_CAM0500...</td>\n",
       "      <td>6d63d659fbc02369010938bbc229ad4d</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40116</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26115</td>\n",
       "      <td>CAM050036_S1_9_FW_IMG_8547_cut_2.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,036</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26115_CAM050036_S1_9_FW_IMG_8547_cut_2.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26115_CAM0500...</td>\n",
       "      <td>34adbd5596f977834fb2c6876d2f4493</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40120</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26116</td>\n",
       "      <td>CAM050036_S1_9_HW_wt_IMG_8541_cut_3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,036</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26116_CAM050036_S1_9_HW_wt_IMG_8541_cut_3.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26116_CAM0500...</td>\n",
       "      <td>6d63d659fbc02369010938bbc229ad4d</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40138</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26112</td>\n",
       "      <td>CAM050147_DS1_IMG_8513_4.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,147</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26112_CAM050147_DS1_IMG_8513_4.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26112_CAM0501...</td>\n",
       "      <td>464801449aa127933d9619cb4e6f0a01</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40141</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26197</td>\n",
       "      <td>CAM050147_DS1_HW_IMG_8537_cut_3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,147</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26197_CAM050147_DS1_HW_IMG_8537_cut_3.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26197_CAM0501...</td>\n",
       "      <td>21e726df7076f5c13fe1441126bac4d5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40144</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26196</td>\n",
       "      <td>CAM050147_DS1_HW_IMG_8537_cut_3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,147</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26196_CAM050147_DS1_HW_IMG_8537_cut_3.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26196_CAM0501...</td>\n",
       "      <td>21e726df7076f5c13fe1441126bac4d5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40145</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26117</td>\n",
       "      <td>CAM050147_DS1_FW_IMG_8513_cut_4.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius_wing_old_photos_2001_2019_part3.csv</td>\n",
       "      <td>https://zenodo.org/record/2553977</td>\n",
       "      <td>50,147</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2553977</td>\n",
       "      <td>Heliconius sara</td>\n",
       "      <td>sara</td>\n",
       "      <td>Heliconius</td>\n",
       "      <td>https://zenodo.org/record/2553977/files/CAM050...</td>\n",
       "      <td>non-hybrid</td>\n",
       "      <td>26117_CAM050147_DS1_FW_IMG_8513_cut_4.tif</td>\n",
       "      <td>images/Heliconius sara ssp. sara/26117_CAM0501...</td>\n",
       "      <td>464801449aa127933d9619cb4e6f0a01</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           CAMID      X                               Image_name     View  \\\n",
       "11978  CAM010354  23471                               10354d.jpg   dorsal   \n",
       "12010  CAM010362  23484                               10362v.jpg  ventral   \n",
       "40112  CAM050036  26102      CAM050036_S1_9_FW_IMG_8547_wb_2.tif   dorsal   \n",
       "40113  CAM050036  26105   CAM050036_S1_9_HW_wt_IMG_8541_cut3.tif   dorsal   \n",
       "40116  CAM050036  26115     CAM050036_S1_9_FW_IMG_8547_cut_2.tif   dorsal   \n",
       "40120  CAM050036  26116  CAM050036_S1_9_HW_wt_IMG_8541_cut_3.tif   dorsal   \n",
       "40138  CAM050147  26112             CAM050147_DS1_IMG_8513_4.tif   dorsal   \n",
       "40141  CAM050147  26197      CAM050147_DS1_HW_IMG_8537_cut_3.tif   dorsal   \n",
       "40144  CAM050147  26196      CAM050147_DS1_HW_IMG_8537_cut_3.tif   dorsal   \n",
       "40145  CAM050147  26117      CAM050147_DS1_FW_IMG_8513_cut_4.tif   dorsal   \n",
       "\n",
       "                                          zenodo_name  \\\n",
       "11978  Heliconius_wing_old_photos_2001_2019_part1.csv   \n",
       "12010  Heliconius_wing_old_photos_2001_2019_part1.csv   \n",
       "40112  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40113  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40116  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40120  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40138  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40141  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40144  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "40145  Heliconius_wing_old_photos_2001_2019_part3.csv   \n",
       "\n",
       "                             zenodo_link Sequence             Taxonomic_Name  \\\n",
       "11978  https://zenodo.org/record/2552371   10,354             Heliconius sp.   \n",
       "12010  https://zenodo.org/record/2552371   10,362             Heliconius sp.   \n",
       "40112  https://zenodo.org/record/2553977   50,036  Heliconius sara ssp. sara   \n",
       "40113  https://zenodo.org/record/2553977   50,036  Heliconius sara ssp. sara   \n",
       "40116  https://zenodo.org/record/2553977   50,036  Heliconius sara ssp. sara   \n",
       "40120  https://zenodo.org/record/2553977   50,036  Heliconius sara ssp. sara   \n",
       "40138  https://zenodo.org/record/2553977   50,147  Heliconius sara ssp. sara   \n",
       "40141  https://zenodo.org/record/2553977   50,147  Heliconius sara ssp. sara   \n",
       "40144  https://zenodo.org/record/2553977   50,147  Heliconius sara ssp. sara   \n",
       "40145  https://zenodo.org/record/2553977   50,147  Heliconius sara ssp. sara   \n",
       "\n",
       "                 Locality Sample_accession  ... record_number  \\\n",
       "11978                 NaN              NaN  ...       2552371   \n",
       "12010                 NaN              NaN  ...       2552371   \n",
       "40112  Gamboa_insectaries              NaN  ...       2553977   \n",
       "40113  Gamboa_insectaries              NaN  ...       2553977   \n",
       "40116  Gamboa_insectaries              NaN  ...       2553977   \n",
       "40120  Gamboa_insectaries              NaN  ...       2553977   \n",
       "40138           Madingley              NaN  ...       2553977   \n",
       "40141           Madingley              NaN  ...       2553977   \n",
       "40144           Madingley              NaN  ...       2553977   \n",
       "40145           Madingley              NaN  ...       2553977   \n",
       "\n",
       "               species subspecies       genus  \\\n",
       "11978   Heliconius sp.        NaN  Heliconius   \n",
       "12010   Heliconius sp.        NaN  Heliconius   \n",
       "40112  Heliconius sara       sara  Heliconius   \n",
       "40113  Heliconius sara       sara  Heliconius   \n",
       "40116  Heliconius sara       sara  Heliconius   \n",
       "40120  Heliconius sara       sara  Heliconius   \n",
       "40138  Heliconius sara       sara  Heliconius   \n",
       "40141  Heliconius sara       sara  Heliconius   \n",
       "40144  Heliconius sara       sara  Heliconius   \n",
       "40145  Heliconius sara       sara  Heliconius   \n",
       "\n",
       "                                                file_url hybrid_stat  \\\n",
       "11978  https://zenodo.org/record/2552371/files/10354d...         NaN   \n",
       "12010  https://zenodo.org/record/2552371/files/10362v...         NaN   \n",
       "40112  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40113  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40116  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40120  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40138  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40141  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40144  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "40145  https://zenodo.org/record/2553977/files/CAM050...  non-hybrid   \n",
       "\n",
       "                                            filename  \\\n",
       "11978                               23471_10354d.jpg   \n",
       "12010                               23484_10362v.jpg   \n",
       "40112      26102_CAM050036_S1_9_FW_IMG_8547_wb_2.tif   \n",
       "40113   26105_CAM050036_S1_9_HW_wt_IMG_8541_cut3.tif   \n",
       "40116     26115_CAM050036_S1_9_FW_IMG_8547_cut_2.tif   \n",
       "40120  26116_CAM050036_S1_9_HW_wt_IMG_8541_cut_3.tif   \n",
       "40138             26112_CAM050147_DS1_IMG_8513_4.tif   \n",
       "40141      26197_CAM050147_DS1_HW_IMG_8537_cut_3.tif   \n",
       "40144      26196_CAM050147_DS1_HW_IMG_8537_cut_3.tif   \n",
       "40145      26117_CAM050147_DS1_FW_IMG_8513_cut_4.tif   \n",
       "\n",
       "                                                filepath  \\\n",
       "11978             images/Heliconius sp./23471_10354d.jpg   \n",
       "12010             images/Heliconius sp./23484_10362v.jpg   \n",
       "40112  images/Heliconius sara ssp. sara/26102_CAM0500...   \n",
       "40113  images/Heliconius sara ssp. sara/26105_CAM0500...   \n",
       "40116  images/Heliconius sara ssp. sara/26115_CAM0500...   \n",
       "40120  images/Heliconius sara ssp. sara/26116_CAM0500...   \n",
       "40138  images/Heliconius sara ssp. sara/26112_CAM0501...   \n",
       "40141  images/Heliconius sara ssp. sara/26197_CAM0501...   \n",
       "40144  images/Heliconius sara ssp. sara/26196_CAM0501...   \n",
       "40145  images/Heliconius sara ssp. sara/26117_CAM0501...   \n",
       "\n",
       "                                    md5 duplicate_md5  \n",
       "11978  84d4ac6527458786cdb33166cd80e0a8          True  \n",
       "12010  84d4ac6527458786cdb33166cd80e0a8          True  \n",
       "40112  34adbd5596f977834fb2c6876d2f4493          True  \n",
       "40113  6d63d659fbc02369010938bbc229ad4d          True  \n",
       "40116  34adbd5596f977834fb2c6876d2f4493          True  \n",
       "40120  6d63d659fbc02369010938bbc229ad4d          True  \n",
       "40138  464801449aa127933d9619cb4e6f0a01          True  \n",
       "40141  21e726df7076f5c13fe1441126bac4d5          True  \n",
       "40144  21e726df7076f5c13fe1441126bac4d5          True  \n",
       "40145  464801449aa127933d9619cb4e6f0a01          True  \n",
       "\n",
       "[10 rows x 32 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check smallest two for overlap\n",
    "small_overlap.loc[small_overlap[\"record_number\"].isin([2553977, 2552371])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These do not seem to overlap. Instead, they seem to duplicate within each record.\n",
    "\n",
    "Likely there is duplication introduced also in record 5526257."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Record 5526257 uniqueness: 10\n",
      "Records 255.. uniqueness: 5\n"
     ]
    }
   ],
   "source": [
    "rec_55 = small_overlap.loc[small_overlap[\"record_number\"] == 5526257]\n",
    "recs_255 = small_overlap.loc[small_overlap[\"record_number\"].isin([2553977, 2552371])]\n",
    "\n",
    "print(\"Record 5526257 uniqueness:\", rec_55.md5.nunique())\n",
    "print(\"Records 255.. uniqueness:\", recs_255.md5.nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns_55 = [\"CAMID\", \"filename\", \"View\", \"Taxonomic_Name\", \"Locality\", \"md5\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAMID</th>\n",
       "      <th>filename</th>\n",
       "      <th>View</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>Locality</th>\n",
       "      <th>md5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38765</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42597_CAM045009_d.CR2</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3aa4f36fe82bf582cdb09e22cf998ea0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38764</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42596_CAM045009_d.CR2</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3aa4f36fe82bf582cdb09e22cf998ea0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39189</th>\n",
       "      <td>CAM045114</td>\n",
       "      <td>43024_CAM045114_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46264ce1e0e5bd93735534c8cdc3a9fb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39193</th>\n",
       "      <td>CAM045114</td>\n",
       "      <td>43025_CAM045114_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46264ce1e0e5bd93735534c8cdc3a9fb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38755</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42587_CAM045006_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5c71b211545b1b469dfadb06b35ccd57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38750</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42586_CAM045006_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5c71b211545b1b469dfadb06b35ccd57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38770</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42602_CAM045009_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6e1c1b698bbafe5fe686c00f93991759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38771</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42603_CAM045009_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6e1c1b698bbafe5fe686c00f93991759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38754</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42585_CAM045006_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7f09b3de42a6771d0ac63bee6995bc49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38753</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42584_CAM045006_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7f09b3de42a6771d0ac63bee6995bc49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38752</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42583_CAM045006_d.CR2</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>b146797ff261debef1f8ae93ce528817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38751</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42582_CAM045006_d.CR2</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>b146797ff261debef1f8ae93ce528817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38766</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42598_CAM045009_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bd26f12f1fb204c623ff9fd615d6a0fd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38767</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42599_CAM045009_d.JPG</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bd26f12f1fb204c623ff9fd615d6a0fd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39192</th>\n",
       "      <td>CAM045114</td>\n",
       "      <td>43023_CAM045114_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>db4c1d373140cd4e56f0976a88b0ab54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39191</th>\n",
       "      <td>CAM045114</td>\n",
       "      <td>43022_CAM045114_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>db4c1d373140cd4e56f0976a88b0ab54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38768</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42600_CAM045009_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>e9acf59ae9d96564f5cd8342281e4514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38769</th>\n",
       "      <td>CAM045009</td>\n",
       "      <td>42601_CAM045009_v.CR2</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>e9acf59ae9d96564f5cd8342281e4514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38756</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42588_CAM045006_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f64512f4ce131775f3594e96ba761fa9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38757</th>\n",
       "      <td>CAM045006</td>\n",
       "      <td>42589_CAM045006_v.JPG</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius erato ssp. cyrbia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f64512f4ce131775f3594e96ba761fa9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           CAMID               filename     View  \\\n",
       "38765  CAM045009  42597_CAM045009_d.CR2   dorsal   \n",
       "38764  CAM045009  42596_CAM045009_d.CR2   dorsal   \n",
       "39189  CAM045114  43024_CAM045114_v.JPG  ventral   \n",
       "39193  CAM045114  43025_CAM045114_v.JPG  ventral   \n",
       "38755  CAM045006  42587_CAM045006_v.CR2  ventral   \n",
       "38750  CAM045006  42586_CAM045006_v.CR2  ventral   \n",
       "38770  CAM045009  42602_CAM045009_v.JPG  ventral   \n",
       "38771  CAM045009  42603_CAM045009_v.JPG  ventral   \n",
       "38754  CAM045006  42585_CAM045006_d.JPG   dorsal   \n",
       "38753  CAM045006  42584_CAM045006_d.JPG   dorsal   \n",
       "38752  CAM045006  42583_CAM045006_d.CR2   dorsal   \n",
       "38751  CAM045006  42582_CAM045006_d.CR2   dorsal   \n",
       "38766  CAM045009  42598_CAM045009_d.JPG   dorsal   \n",
       "38767  CAM045009  42599_CAM045009_d.JPG   dorsal   \n",
       "39192  CAM045114  43023_CAM045114_v.CR2  ventral   \n",
       "39191  CAM045114  43022_CAM045114_v.CR2  ventral   \n",
       "38768  CAM045009  42600_CAM045009_v.CR2  ventral   \n",
       "38769  CAM045009  42601_CAM045009_v.CR2  ventral   \n",
       "38756  CAM045006  42588_CAM045006_v.JPG  ventral   \n",
       "38757  CAM045006  42589_CAM045006_v.JPG  ventral   \n",
       "\n",
       "                     Taxonomic_Name Locality                               md5  \n",
       "38765  Heliconius erato ssp. cyrbia      NaN  3aa4f36fe82bf582cdb09e22cf998ea0  \n",
       "38764  Heliconius erato ssp. cyrbia      NaN  3aa4f36fe82bf582cdb09e22cf998ea0  \n",
       "39189  Heliconius erato ssp. cyrbia      NaN  46264ce1e0e5bd93735534c8cdc3a9fb  \n",
       "39193  Heliconius erato ssp. cyrbia      NaN  46264ce1e0e5bd93735534c8cdc3a9fb  \n",
       "38755  Heliconius erato ssp. cyrbia      NaN  5c71b211545b1b469dfadb06b35ccd57  \n",
       "38750  Heliconius erato ssp. cyrbia      NaN  5c71b211545b1b469dfadb06b35ccd57  \n",
       "38770  Heliconius erato ssp. cyrbia      NaN  6e1c1b698bbafe5fe686c00f93991759  \n",
       "38771  Heliconius erato ssp. cyrbia      NaN  6e1c1b698bbafe5fe686c00f93991759  \n",
       "38754  Heliconius erato ssp. cyrbia      NaN  7f09b3de42a6771d0ac63bee6995bc49  \n",
       "38753  Heliconius erato ssp. cyrbia      NaN  7f09b3de42a6771d0ac63bee6995bc49  \n",
       "38752  Heliconius erato ssp. cyrbia      NaN  b146797ff261debef1f8ae93ce528817  \n",
       "38751  Heliconius erato ssp. cyrbia      NaN  b146797ff261debef1f8ae93ce528817  \n",
       "38766  Heliconius erato ssp. cyrbia      NaN  bd26f12f1fb204c623ff9fd615d6a0fd  \n",
       "38767  Heliconius erato ssp. cyrbia      NaN  bd26f12f1fb204c623ff9fd615d6a0fd  \n",
       "39192  Heliconius erato ssp. cyrbia      NaN  db4c1d373140cd4e56f0976a88b0ab54  \n",
       "39191  Heliconius erato ssp. cyrbia      NaN  db4c1d373140cd4e56f0976a88b0ab54  \n",
       "38768  Heliconius erato ssp. cyrbia      NaN  e9acf59ae9d96564f5cd8342281e4514  \n",
       "38769  Heliconius erato ssp. cyrbia      NaN  e9acf59ae9d96564f5cd8342281e4514  \n",
       "38756  Heliconius erato ssp. cyrbia      NaN  f64512f4ce131775f3594e96ba761fa9  \n",
       "38757  Heliconius erato ssp. cyrbia      NaN  f64512f4ce131775f3594e96ba761fa9  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_55[columns_55].sort_values(by = \"md5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are all exact duplicates..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    10\n",
       "True     10\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_55.duplicated([\"CAMID\", \"Image_name\", \"View\", \"Taxonomic_Name\", \"Locality\", \"md5\"], keep = \"first\").value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAMID</th>\n",
       "      <th>filename</th>\n",
       "      <th>View</th>\n",
       "      <th>Taxonomic_Name</th>\n",
       "      <th>Locality</th>\n",
       "      <th>md5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40141</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26197_CAM050147_DS1_HW_IMG_8537_cut_3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>21e726df7076f5c13fe1441126bac4d5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40144</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26196_CAM050147_DS1_HW_IMG_8537_cut_3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>21e726df7076f5c13fe1441126bac4d5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40112</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26102_CAM050036_S1_9_FW_IMG_8547_wb_2.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>34adbd5596f977834fb2c6876d2f4493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40116</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26115_CAM050036_S1_9_FW_IMG_8547_cut_2.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>34adbd5596f977834fb2c6876d2f4493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40138</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26112_CAM050147_DS1_IMG_8513_4.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>464801449aa127933d9619cb4e6f0a01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40145</th>\n",
       "      <td>CAM050147</td>\n",
       "      <td>26117_CAM050147_DS1_FW_IMG_8513_cut_4.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Madingley</td>\n",
       "      <td>464801449aa127933d9619cb4e6f0a01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40113</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26105_CAM050036_S1_9_HW_wt_IMG_8541_cut3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>6d63d659fbc02369010938bbc229ad4d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40120</th>\n",
       "      <td>CAM050036</td>\n",
       "      <td>26116_CAM050036_S1_9_HW_wt_IMG_8541_cut_3.tif</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sara ssp. sara</td>\n",
       "      <td>Gamboa_insectaries</td>\n",
       "      <td>6d63d659fbc02369010938bbc229ad4d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11978</th>\n",
       "      <td>CAM010354</td>\n",
       "      <td>23471_10354d.jpg</td>\n",
       "      <td>dorsal</td>\n",
       "      <td>Heliconius sp.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84d4ac6527458786cdb33166cd80e0a8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12010</th>\n",
       "      <td>CAM010362</td>\n",
       "      <td>23484_10362v.jpg</td>\n",
       "      <td>ventral</td>\n",
       "      <td>Heliconius sp.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84d4ac6527458786cdb33166cd80e0a8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           CAMID                                       filename     View  \\\n",
       "40141  CAM050147      26197_CAM050147_DS1_HW_IMG_8537_cut_3.tif   dorsal   \n",
       "40144  CAM050147      26196_CAM050147_DS1_HW_IMG_8537_cut_3.tif   dorsal   \n",
       "40112  CAM050036      26102_CAM050036_S1_9_FW_IMG_8547_wb_2.tif   dorsal   \n",
       "40116  CAM050036     26115_CAM050036_S1_9_FW_IMG_8547_cut_2.tif   dorsal   \n",
       "40138  CAM050147             26112_CAM050147_DS1_IMG_8513_4.tif   dorsal   \n",
       "40145  CAM050147      26117_CAM050147_DS1_FW_IMG_8513_cut_4.tif   dorsal   \n",
       "40113  CAM050036   26105_CAM050036_S1_9_HW_wt_IMG_8541_cut3.tif   dorsal   \n",
       "40120  CAM050036  26116_CAM050036_S1_9_HW_wt_IMG_8541_cut_3.tif   dorsal   \n",
       "11978  CAM010354                               23471_10354d.jpg   dorsal   \n",
       "12010  CAM010362                               23484_10362v.jpg  ventral   \n",
       "\n",
       "                  Taxonomic_Name            Locality  \\\n",
       "40141  Heliconius sara ssp. sara           Madingley   \n",
       "40144  Heliconius sara ssp. sara           Madingley   \n",
       "40112  Heliconius sara ssp. sara  Gamboa_insectaries   \n",
       "40116  Heliconius sara ssp. sara  Gamboa_insectaries   \n",
       "40138  Heliconius sara ssp. sara           Madingley   \n",
       "40145  Heliconius sara ssp. sara           Madingley   \n",
       "40113  Heliconius sara ssp. sara  Gamboa_insectaries   \n",
       "40120  Heliconius sara ssp. sara  Gamboa_insectaries   \n",
       "11978             Heliconius sp.                 NaN   \n",
       "12010             Heliconius sp.                 NaN   \n",
       "\n",
       "                                    md5  \n",
       "40141  21e726df7076f5c13fe1441126bac4d5  \n",
       "40144  21e726df7076f5c13fe1441126bac4d5  \n",
       "40112  34adbd5596f977834fb2c6876d2f4493  \n",
       "40116  34adbd5596f977834fb2c6876d2f4493  \n",
       "40138  464801449aa127933d9619cb4e6f0a01  \n",
       "40145  464801449aa127933d9619cb4e6f0a01  \n",
       "40113  6d63d659fbc02369010938bbc229ad4d  \n",
       "40120  6d63d659fbc02369010938bbc229ad4d  \n",
       "11978  84d4ac6527458786cdb33166cd80e0a8  \n",
       "12010  84d4ac6527458786cdb33166cd80e0a8  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recs_255[columns_55].sort_values(by = \"md5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These have mismatched filenames and even mismatched CAMIDs for record 2552371.\n",
    "\n",
    "The first 8 are all cropped close-ups of a single wing, so don't seem particularly helpful for our use-cases. Will keep the ones with `cut_` in the name, as some of this duplication seems to be from errors in image naming (the view also is inconsistent since it's a crop of a single wing).\n",
    "\n",
    "The last two are unspecified species. The image is definitely dorsal, but there is no indication of which specimen it is, so both records must be removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "std",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}