egrace479 commited on
Commit
8c437d6
·
verified ·
1 Parent(s): fa08e0f

Upload archive analysis and data for rare species

Browse files

No additional images were matched, rs_links CSV is for adjusting Rare Species dataset to avoid duplicate images within species

.gitattributes CHANGED
@@ -66,3 +66,4 @@ visuals/phyla_ToL_tree.pdf filter=lfs diff=lfs merge=lfs -text
66
  eol_realign/data/links_inner.csv filter=lfs diff=lfs merge=lfs -text
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  eol_realign/data/links_manifest_cargo_on_md5.csv filter=lfs diff=lfs merge=lfs -text
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  eol_realign/data/links_cargo_manifest_IDmismatch.csv filter=lfs diff=lfs merge=lfs -text
 
 
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  eol_realign/data/links_inner.csv filter=lfs diff=lfs merge=lfs -text
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  eol_realign/data/links_manifest_cargo_on_md5.csv filter=lfs diff=lfs merge=lfs -text
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  eol_realign/data/links_cargo_manifest_IDmismatch.csv filter=lfs diff=lfs merge=lfs -text
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+ eol_realign/data/eol-cargo-archive_combined-manifest-checksums_links.csv filter=lfs diff=lfs merge=lfs -text
eol_realign/data/eol-cargo-archive_combined-manifest-checksums_links.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0c53ba3c261089abe0ce8fc7e21fc21baa111db3e06333aaedc090f66c5a9519
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+ size 3545231521
eol_realign/data/rs_links.csv ADDED
The diff for this file is too large to render. See raw diff
 
eol_realign/notebooks/links_rs_duplicates.ipynb CHANGED
@@ -9,25 +9,36 @@
9
  "import pandas as pd"
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  ]
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  },
 
 
 
 
 
 
 
 
 
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  {
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  "cell_type": "markdown",
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  "metadata": {},
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  "source": [
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- "### Read in Links CSV file"
 
 
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  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 2,
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  "metadata": {},
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  "outputs": [],
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  "source": [
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- "links_manifest_cargo = pd.read_csv(\"../data/links_manifest_cargo_on_md5.csv\", low_memory=False)"
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  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 3,
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  "metadata": {},
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  "outputs": [
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  {
@@ -35,28 +46,29 @@
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  "output_type": "stream",
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  "text": [
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  "<class 'pandas.core.frame.DataFrame'>\n",
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- "RangeIndex: 7513329 entries, 0 to 7513328\n",
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- "Data columns (total 16 columns):\n",
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- " # Column Non-Null Count Dtype \n",
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- "--- ------ -------------- ----- \n",
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- " 0 eol_content_id 7513329 non-null int64 \n",
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- " 1 eol_page_id 7513329 non-null int64 \n",
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- " 2 medium_source_url 7513329 non-null object\n",
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- " 3 eol_full_size_copy_url 7513329 non-null object\n",
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- " 4 license_name 7513329 non-null object\n",
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- " 5 copyright_owner 6860238 non-null object\n",
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- " 6 expected_image_filename 7513329 non-null object\n",
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- " 7 source_0706 7513329 non-null bool \n",
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- " 8 source_0726 7513329 non-null bool \n",
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- " 9 source_1206 7513329 non-null bool \n",
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- " 10 combined_id_manifest 7513329 non-null object\n",
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- " 11 md5 7513329 non-null object\n",
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- " 12 combined_id_manifest_checksums 7513329 non-null object\n",
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- " 13 eol_content_id_cargo 7513329 non-null int64 \n",
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- " 14 eol_page_id_cargo 7513329 non-null int64 \n",
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- " 15 combined_id_cargo 7513329 non-null object\n",
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- "dtypes: bool(3), int64(4), object(9)\n",
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- "memory usage: 766.7+ MB\n"
 
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  ]
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  }
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  ],
@@ -73,7 +85,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 4,
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  "metadata": {},
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  "outputs": [
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  {
@@ -102,7 +114,7 @@
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  }
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  ],
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  "source": [
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- "rs_catalog = pd.read_csv(\"../../rare_species/data/rarespecies-catalog.csv\",\n",
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  " low_memory=False,\n",
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  " dtype = {\"eol_content_id\": \"int64\", \"eol_page_id\": \"int64\"})\n",
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  "rs_catalog.info(show_counts = True)"
@@ -110,7 +122,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 5,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -120,7 +132,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 6,
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  "metadata": {},
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  "outputs": [
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  {
@@ -129,39 +141,40 @@
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  "text": [
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  "<class 'pandas.core.frame.DataFrame'>\n",
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  "RangeIndex: 12552 entries, 0 to 12551\n",
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- "Data columns (total 28 columns):\n",
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- " # Column Non-Null Count Dtype \n",
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- "--- ------ -------------- ----- \n",
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- " 0 rarespecies_id 12552 non-null object\n",
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- " 1 eol_content_id_rs 12552 non-null int64 \n",
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- " 2 eol_page_id_rs 12552 non-null int64 \n",
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- " 3 kingdom 12552 non-null object\n",
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- " 4 phylum 12552 non-null object\n",
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- " 5 class 12552 non-null object\n",
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- " 6 order 12552 non-null object\n",
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- " 7 family 12552 non-null object\n",
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- " 8 genus 12552 non-null object\n",
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- " 9 species 12552 non-null object\n",
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- " 10 sciName 12552 non-null object\n",
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- " 11 combined_id_rs 12552 non-null object\n",
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- " 12 eol_content_id 12552 non-null int64 \n",
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- " 13 eol_page_id 12552 non-null int64 \n",
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- " 14 medium_source_url 12552 non-null object\n",
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- " 15 eol_full_size_copy_url 12552 non-null object\n",
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- " 16 license_name 12552 non-null object\n",
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- " 17 copyright_owner 11171 non-null object\n",
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- " 18 expected_image_filename 12552 non-null object\n",
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- " 19 source_0706 12552 non-null bool \n",
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- " 20 source_0726 12552 non-null bool \n",
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- " 21 source_1206 12552 non-null bool \n",
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- " 22 combined_id_manifest 12552 non-null object\n",
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- " 23 md5 12552 non-null object\n",
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- " 24 combined_id_manifest_checksums 12552 non-null object\n",
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- " 25 eol_content_id_cargo 12552 non-null int64 \n",
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- " 26 eol_page_id_cargo 12552 non-null int64 \n",
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- " 27 combined_id_cargo 12552 non-null object\n",
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- "dtypes: bool(3), int64(6), object(19)\n",
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- "memory usage: 2.4+ MB\n"
 
165
  ]
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  }
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  ],
@@ -169,51 +182,52 @@
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  "rs_links = pd.merge(rs_catalog,\n",
170
  " links_manifest_cargo,\n",
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  " left_on = \"combined_id_rs\",\n",
172
- " right_on = \"combined_id_cargo\",\n",
173
  " how = \"inner\")\n",
174
  "rs_links.info(show_counts = True)"
175
  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 7,
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  "metadata": {},
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  "outputs": [
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  {
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  "data": {
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  "text/plain": [
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- "rarespecies_id 11826\n",
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- "eol_content_id_rs 11826\n",
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- "eol_page_id_rs 400\n",
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- "kingdom 1\n",
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- "phylum 5\n",
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- "class 15\n",
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- "order 85\n",
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- "family 202\n",
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- "genus 316\n",
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- "species 385\n",
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- "sciName 400\n",
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- "combined_id_rs 11826\n",
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- "eol_content_id 12221\n",
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- "eol_page_id 447\n",
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- "medium_source_url 12056\n",
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- "eol_full_size_copy_url 12119\n",
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- "license_name 15\n",
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- "copyright_owner 3724\n",
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- "expected_image_filename 12221\n",
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- "source_0706 2\n",
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- "source_0726 2\n",
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- "source_1206 2\n",
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- "combined_id_manifest 12221\n",
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- "md5 11663\n",
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- "combined_id_manifest_checksums 12221\n",
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- "eol_content_id_cargo 11826\n",
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- "eol_page_id_cargo 400\n",
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- "combined_id_cargo 11826\n",
 
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  "dtype: int64"
214
  ]
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  },
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- "execution_count": 7,
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  "metadata": {},
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  "output_type": "execute_result"
219
  }
@@ -222,6 +236,13 @@
222
  "rs_links.nunique()"
223
  ]
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  },
 
 
 
 
 
 
 
225
  {
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  "cell_type": "markdown",
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  "metadata": {},
@@ -231,7 +252,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 8,
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  "metadata": {},
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  "outputs": [
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  {
@@ -240,7 +261,7 @@
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  "11826"
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  ]
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  },
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- "execution_count": 8,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -252,7 +273,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 9,
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  "metadata": {},
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  "outputs": [
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  {
@@ -264,7 +285,7 @@
264
  " '29975068_45509269']"
265
  ]
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  },
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- "execution_count": 9,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -275,20 +296,20 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 10,
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  "metadata": {},
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  "outputs": [
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  {
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  "data": {
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  "text/plain": [
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- "4310 20080369_46579618\n",
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- "842 27592101_46560177\n",
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- "1111 20945361_570181\n",
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- "3609 10819533_46516728\n",
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  "Name: combined_id_rs, dtype: object"
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  ]
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  },
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- "execution_count": 10,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -299,7 +320,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 11,
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  "metadata": {},
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  "outputs": [
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  {
@@ -335,7 +356,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 12,
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  "metadata": {},
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  "outputs": [
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  {
@@ -356,7 +377,7 @@
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  "dtype: int64"
357
  ]
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  },
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- "execution_count": 12,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -367,7 +388,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 13,
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  "metadata": {},
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  "outputs": [
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  {
@@ -411,7 +432,7 @@
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  "Name: count, dtype: int64"
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  ]
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  },
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- "execution_count": 13,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -422,7 +443,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 14,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -436,7 +457,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 15,
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  "metadata": {},
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  "outputs": [
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  {
@@ -450,7 +471,7 @@
450
  " array([46560546])]"
451
  ]
452
  },
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- "execution_count": 15,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -464,7 +485,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 16,
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  "metadata": {},
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  "outputs": [
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  {
@@ -478,7 +499,7 @@
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  " (46560546, 24)]"
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  ]
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  },
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- "execution_count": 16,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -501,7 +522,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 17,
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  "metadata": {},
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  "outputs": [
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  {
@@ -541,9 +562,9 @@
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  " </thead>\n",
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  " <tbody>\n",
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  " <tr>\n",
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- " <th>7726</th>\n",
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- " <td>667586ab-145a-4076-9669-535447aa2b6c</td>\n",
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- " <td>30098504</td>\n",
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  " <td>205909</td>\n",
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  " <td>Animalia</td>\n",
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  " <td>Chordata</td>\n",
@@ -553,12 +574,12 @@
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  " <td>Scaphirhynchus</td>\n",
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  " <td>albus</td>\n",
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  " <td>Scaphirhynchus albus</td>\n",
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- " <td>30098504_205909</td>\n",
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  " </tr>\n",
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  " <tr>\n",
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- " <th>1413</th>\n",
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- " <td>d239159f-cb15-4c30-8aeb-d8177f8cf34a</td>\n",
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- " <td>30098492</td>\n",
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  " <td>205909</td>\n",
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  " <td>Animalia</td>\n",
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  " <td>Chordata</td>\n",
@@ -568,7 +589,7 @@
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  " <td>Scaphirhynchus</td>\n",
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  " <td>albus</td>\n",
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  " <td>Scaphirhynchus albus</td>\n",
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- " <td>30098492_205909</td>\n",
572
  " </tr>\n",
573
  " <tr>\n",
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  " <th>7916</th>\n",
@@ -586,9 +607,9 @@
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  " <td>30098499_205909</td>\n",
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  " </tr>\n",
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  " <tr>\n",
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- " <th>6909</th>\n",
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- " <td>d33f93de-31ec-434a-985e-a9cdeb79b557</td>\n",
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- " <td>30098484</td>\n",
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  " <td>205909</td>\n",
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  " <td>Animalia</td>\n",
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  " <td>Chordata</td>\n",
@@ -598,12 +619,12 @@
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  " <td>Scaphirhynchus</td>\n",
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  " <td>albus</td>\n",
600
  " <td>Scaphirhynchus albus</td>\n",
601
- " <td>30098484_205909</td>\n",
602
  " </tr>\n",
603
  " <tr>\n",
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- " <th>6564</th>\n",
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- " <td>bd27fc74-caa5-4fe3-9dbc-776127bd03e7</td>\n",
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- " <td>30098489</td>\n",
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  " <td>205909</td>\n",
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  " <td>Animalia</td>\n",
609
  " <td>Chordata</td>\n",
@@ -613,36 +634,43 @@
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  " <td>Scaphirhynchus</td>\n",
614
  " <td>albus</td>\n",
615
  " <td>Scaphirhynchus albus</td>\n",
616
- " <td>30098489_205909</td>\n",
617
  " </tr>\n",
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  " </tbody>\n",
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  "</table>\n",
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  "</div>"
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  ],
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  "text/plain": [
623
- " rarespecies_id eol_content_id_rs eol_page_id_rs \\\n",
624
- "7726 667586ab-145a-4076-9669-535447aa2b6c 30098504 205909 \n",
625
- "1413 d239159f-cb15-4c30-8aeb-d8177f8cf34a 30098492 205909 \n",
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- "7916 2d342a7c-7e0c-4981-9630-019bb90183be 30098499 205909 \n",
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- "6564 bd27fc74-caa5-4fe3-9dbc-776127bd03e7 30098489 205909 \n",
629
  "\n",
630
- " kingdom phylum class order family \\\n",
631
- "7726 Animalia Chordata Actinopterygii Acipenseriformes Acipenseridae \n",
632
- "1413 Animalia Chordata Actinopterygii Acipenseriformes Acipenseridae \n",
633
- "7916 Animalia Chordata Actinopterygii Acipenseriformes Acipenseridae \n",
634
- "6909 Animalia Chordata Actinopterygii Acipenseriformes Acipenseridae \n",
635
- "6564 Animalia Chordata Actinopterygii Acipenseriformes Acipenseridae \n",
636
  "\n",
637
- " genus species sciName combined_id_rs \n",
638
- "7726 Scaphirhynchus albus Scaphirhynchus albus 30098504_205909 \n",
639
- "1413 Scaphirhynchus albus Scaphirhynchus albus 30098492_205909 \n",
640
- "7916 Scaphirhynchus albus Scaphirhynchus albus 30098499_205909 \n",
641
- "6909 Scaphirhynchus albus Scaphirhynchus albus 30098484_205909 \n",
642
- "6564 Scaphirhynchus albus Scaphirhynchus albus 30098489_205909 "
 
 
 
 
 
 
 
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  ]
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  },
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- "execution_count": 17,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -661,7 +689,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 18,
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  "metadata": {},
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  "outputs": [
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  {
@@ -701,9 +729,9 @@
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  " </thead>\n",
702
  " <tbody>\n",
703
  " <tr>\n",
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- " <th>3655</th>\n",
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  " <td>46560546</td>\n",
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  " <td>Animalia</td>\n",
709
  " <td>Chordata</td>\n",
@@ -713,12 +741,12 @@
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  " <td>Raja</td>\n",
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  " <td>asterias</td>\n",
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  " <td>Raja asterias</td>\n",
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- " <td>27648157_46560546</td>\n",
717
  " </tr>\n",
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  " <tr>\n",
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  " <td>46560546</td>\n",
723
  " <td>Animalia</td>\n",
724
  " <td>Chordata</td>\n",
@@ -728,12 +756,12 @@
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  " <td>Raja</td>\n",
729
  " <td>asterias</td>\n",
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  " <td>Raja asterias</td>\n",
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- " <td>27648161_46560546</td>\n",
732
  " </tr>\n",
733
  " <tr>\n",
734
- " <th>2347</th>\n",
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  " <td>46560546</td>\n",
738
  " <td>Animalia</td>\n",
739
  " <td>Chordata</td>\n",
@@ -743,12 +771,12 @@
743
  " <td>Raja</td>\n",
744
  " <td>asterias</td>\n",
745
  " <td>Raja asterias</td>\n",
746
- " <td>27648164_46560546</td>\n",
747
  " </tr>\n",
748
  " <tr>\n",
749
- " <th>3481</th>\n",
750
- " <td>2bcba9f3-a3a4-4a2b-a4f4-84e35be0e35f</td>\n",
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  " <td>46560546</td>\n",
753
  " <td>Animalia</td>\n",
754
  " <td>Chordata</td>\n",
@@ -758,12 +786,12 @@
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  " <td>Raja</td>\n",
759
  " <td>asterias</td>\n",
760
  " <td>Raja asterias</td>\n",
761
- " <td>27648163_46560546</td>\n",
762
  " </tr>\n",
763
  " <tr>\n",
764
- " <th>1358</th>\n",
765
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  " <td>46560546</td>\n",
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  " <td>Animalia</td>\n",
769
  " <td>Chordata</td>\n",
@@ -773,7 +801,7 @@
773
  " <td>Raja</td>\n",
774
  " <td>asterias</td>\n",
775
  " <td>Raja asterias</td>\n",
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- " <td>27648166_46560546</td>\n",
777
  " </tr>\n",
778
  " </tbody>\n",
779
  "</table>\n",
@@ -781,28 +809,28 @@
781
  ],
782
  "text/plain": [
783
  " rarespecies_id eol_content_id_rs eol_page_id_rs \\\n",
 
784
  "3655 12633820-3a3a-4c77-bd38-7221bd18b747 27648157 46560546 \n",
785
- "4243 8a7eae46-57af-4132-b914-78556479db67 27648161 46560546 \n",
786
- "2347 de4a6ca0-6fc2-40de-907e-c99b98a9ca3e 27648164 46560546 \n",
787
- "3481 2bcba9f3-a3a4-4a2b-a4f4-84e35be0e35f 27648163 46560546 \n",
788
  "1358 d436ec20-202d-44ec-9081-ca59afef356f 27648166 46560546 \n",
 
789
  "\n",
790
  " kingdom phylum class order family genus species \\\n",
 
791
  "3655 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
792
- "4243 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
793
- "2347 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
794
- "3481 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
795
  "1358 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
 
796
  "\n",
797
  " sciName combined_id_rs \n",
 
798
  "3655 Raja asterias 27648157_46560546 \n",
799
- "4243 Raja asterias 27648161_46560546 \n",
800
- "2347 Raja asterias 27648164_46560546 \n",
801
- "3481 Raja asterias 27648163_46560546 \n",
802
- "1358 Raja asterias 27648166_46560546 "
803
  ]
804
  },
805
- "execution_count": 18,
806
  "metadata": {},
807
  "output_type": "execute_result"
808
  }
@@ -820,7 +848,26 @@
820
  },
821
  {
822
  "cell_type": "code",
823
- "execution_count": 19,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
824
  "metadata": {},
825
  "outputs": [
826
  {
@@ -844,6 +891,12 @@
844
  " <thead>\n",
845
  " <tr style=\"text-align: right;\">\n",
846
  " <th></th>\n",
 
 
 
 
 
 
847
  " <th>eol_content_id</th>\n",
848
  " <th>eol_page_id</th>\n",
849
  " <th>medium_source_url</th>\n",
@@ -854,12 +907,8 @@
854
  " <th>source_0706</th>\n",
855
  " <th>source_0726</th>\n",
856
  " <th>source_1206</th>\n",
857
- " <th>combined_id_manifest</th>\n",
858
- " <th>md5</th>\n",
859
- " <th>combined_id_manifest_checksums</th>\n",
860
- " <th>eol_content_id_cargo</th>\n",
861
- " <th>eol_page_id_cargo</th>\n",
862
- " <th>combined_id_cargo</th>\n",
863
  " </tr>\n",
864
  " </thead>\n",
865
  " <tbody>\n",
@@ -869,23 +918,24 @@
869
  ],
870
  "text/plain": [
871
  "Empty DataFrame\n",
872
- "Columns: [eol_content_id, eol_page_id, medium_source_url, eol_full_size_copy_url, license_name, copyright_owner, expected_image_filename, source_0706, source_0726, source_1206, combined_id_manifest, md5, combined_id_manifest_checksums, eol_content_id_cargo, eol_page_id_cargo, combined_id_cargo]\n",
873
  "Index: []"
874
  ]
875
  },
876
- "execution_count": 19,
877
  "metadata": {},
878
  "output_type": "execute_result"
879
  }
880
  ],
881
  "source": [
882
  "# check if content IDs get recycled, content ID: 27648165, now online as: 30223317\n",
883
- "links_manifest_cargo.loc[links_manifest_cargo[\"eol_content_id_cargo\"] == 30223317]"
 
884
  ]
885
  },
886
  {
887
  "cell_type": "code",
888
- "execution_count": 20,
889
  "metadata": {},
890
  "outputs": [
891
  {
@@ -909,6 +959,12 @@
909
  " <thead>\n",
910
  " <tr style=\"text-align: right;\">\n",
911
  " <th></th>\n",
 
 
 
 
 
 
912
  " <th>eol_content_id</th>\n",
913
  " <th>eol_page_id</th>\n",
914
  " <th>medium_source_url</th>\n",
@@ -919,12 +975,8 @@
919
  " <th>source_0706</th>\n",
920
  " <th>source_0726</th>\n",
921
  " <th>source_1206</th>\n",
922
- " <th>combined_id_manifest</th>\n",
923
- " <th>md5</th>\n",
924
- " <th>combined_id_manifest_checksums</th>\n",
925
- " <th>eol_content_id_cargo</th>\n",
926
- " <th>eol_page_id_cargo</th>\n",
927
- " <th>combined_id_cargo</th>\n",
928
  " </tr>\n",
929
  " </thead>\n",
930
  " <tbody>\n",
@@ -934,11 +986,11 @@
934
  ],
935
  "text/plain": [
936
  "Empty DataFrame\n",
937
- "Columns: [eol_content_id, eol_page_id, medium_source_url, eol_full_size_copy_url, license_name, copyright_owner, expected_image_filename, source_0706, source_0726, source_1206, combined_id_manifest, md5, combined_id_manifest_checksums, eol_content_id_cargo, eol_page_id_cargo, combined_id_cargo]\n",
938
  "Index: []"
939
  ]
940
  },
941
- "execution_count": 20,
942
  "metadata": {},
943
  "output_type": "execute_result"
944
  }
@@ -948,6 +1000,76 @@
948
  "links_manifest_cargo.loc[links_manifest_cargo[\"eol_content_id\"] == 30223317]"
949
  ]
950
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
951
  {
952
  "cell_type": "markdown",
953
  "metadata": {},
@@ -957,14 +1079,14 @@
957
  },
958
  {
959
  "cell_type": "code",
960
- "execution_count": 27,
961
  "metadata": {},
962
  "outputs": [],
963
  "source": [
964
  "# Save CSV of mismatched, they should be salvageable.\n",
965
  "# We saw these images both online and in our cargo, just with different IDs\n",
966
  "\n",
967
- "mismatched_rs.to_csv(\"../data/mismatched_rarespecies.csv\", index=False)"
968
  ]
969
  },
970
  {
@@ -985,17 +1107,17 @@
985
  },
986
  {
987
  "cell_type": "code",
988
- "execution_count": 21,
989
  "metadata": {},
990
  "outputs": [],
991
  "source": [
992
- "rs_links[\"md5_dupes\"] = rs_links.duplicated(subset = \"md5\", keep = \"first\")\n",
993
  "rs_links[\"rs_id_dupes\"] = rs_links.duplicated(subset = \"rarespecies_id\", keep = \"first\")"
994
  ]
995
  },
996
  {
997
  "cell_type": "code",
998
- "execution_count": 22,
999
  "metadata": {},
1000
  "outputs": [
1001
  {
@@ -1006,7 +1128,7 @@
1006
  "Name: count, dtype: int64"
1007
  ]
1008
  },
1009
- "execution_count": 22,
1010
  "metadata": {},
1011
  "output_type": "execute_result"
1012
  }
@@ -1017,7 +1139,7 @@
1017
  },
1018
  {
1019
  "cell_type": "code",
1020
- "execution_count": 23,
1021
  "metadata": {},
1022
  "outputs": [
1023
  {
@@ -1029,7 +1151,7 @@
1029
  "Name: count, dtype: int64"
1030
  ]
1031
  },
1032
- "execution_count": 23,
1033
  "metadata": {},
1034
  "output_type": "execute_result"
1035
  }
@@ -1047,46 +1169,47 @@
1047
  },
1048
  {
1049
  "cell_type": "code",
1050
- "execution_count": 24,
1051
  "metadata": {},
1052
  "outputs": [
1053
  {
1054
  "data": {
1055
  "text/plain": [
1056
- "rarespecies_id 163\n",
1057
- "eol_content_id_rs 163\n",
1058
- "eol_page_id_rs 80\n",
1059
- "kingdom 1\n",
1060
- "phylum 4\n",
1061
- "class 9\n",
1062
- "order 37\n",
1063
- "family 56\n",
1064
- "genus 73\n",
1065
- "species 80\n",
1066
- "sciName 80\n",
1067
- "combined_id_rs 163\n",
1068
- "eol_content_id 163\n",
1069
- "eol_page_id 80\n",
1070
- "medium_source_url 163\n",
1071
- "eol_full_size_copy_url 163\n",
1072
- "license_name 10\n",
1073
- "copyright_owner 48\n",
1074
- "expected_image_filename 163\n",
1075
- "source_0706 2\n",
1076
- "source_0726 1\n",
1077
- "source_1206 2\n",
1078
- "combined_id_manifest 163\n",
1079
- "md5 163\n",
1080
- "combined_id_manifest_checksums 163\n",
1081
- "eol_content_id_cargo 163\n",
1082
- "eol_page_id_cargo 80\n",
1083
- "combined_id_cargo 163\n",
1084
- "md5_dupes 1\n",
1085
- "rs_id_dupes 1\n",
 
1086
  "dtype: int64"
1087
  ]
1088
  },
1089
- "execution_count": 24,
1090
  "metadata": {},
1091
  "output_type": "execute_result"
1092
  }
@@ -1099,7 +1222,7 @@
1099
  },
1100
  {
1101
  "cell_type": "code",
1102
- "execution_count": 25,
1103
  "metadata": {},
1104
  "outputs": [
1105
  {
@@ -1119,7 +1242,7 @@
1119
  "Name: count, dtype: int64"
1120
  ]
1121
  },
1122
- "execution_count": 25,
1123
  "metadata": {},
1124
  "output_type": "execute_result"
1125
  }
@@ -1144,7 +1267,7 @@
1144
  },
1145
  {
1146
  "cell_type": "code",
1147
- "execution_count": 26,
1148
  "metadata": {},
1149
  "outputs": [
1150
  {
@@ -1153,7 +1276,7 @@
1153
  "[4453333, 460289, 45277122, 46561158, 1286909, 45510188, 45510548, 791049]"
1154
  ]
1155
  },
1156
- "execution_count": 26,
1157
  "metadata": {},
1158
  "output_type": "execute_result"
1159
  }
@@ -1165,7 +1288,7 @@
1165
  },
1166
  {
1167
  "cell_type": "code",
1168
- "execution_count": 27,
1169
  "metadata": {
1170
  "lines_to_next_cell": 2
1171
  },
@@ -1177,13 +1300,13 @@
1177
  "for pg_id in rs_sci_dupe_pgs:\n",
1178
  " num_images = links_manifest_cargo.loc[links_manifest_cargo[\"eol_page_id\"] == pg_id].shape[0]\n",
1179
  " num_images_by_pg[pg_id] = num_images\n",
1180
- " num_unique_images = links_manifest_cargo.loc[links_manifest_cargo[\"eol_page_id\"] == pg_id, \"md5\"].nunique()\n",
1181
  " num_unique_imgs_by_pg[pg_id] = num_unique_images"
1182
  ]
1183
  },
1184
  {
1185
  "cell_type": "code",
1186
- "execution_count": 28,
1187
  "metadata": {},
1188
  "outputs": [
1189
  {
@@ -1192,7 +1315,7 @@
1192
  "80"
1193
  ]
1194
  },
1195
- "execution_count": 28,
1196
  "metadata": {},
1197
  "output_type": "execute_result"
1198
  }
@@ -1203,7 +1326,7 @@
1203
  },
1204
  {
1205
  "cell_type": "code",
1206
- "execution_count": 29,
1207
  "metadata": {},
1208
  "outputs": [
1209
  {
@@ -1233,7 +1356,7 @@
1233
  },
1234
  {
1235
  "cell_type": "code",
1236
- "execution_count": 32,
1237
  "metadata": {},
1238
  "outputs": [
1239
  {
@@ -1374,7 +1497,7 @@
1374
  "4 leucoryx Oryx leucoryx 29462184_331080 "
1375
  ]
1376
  },
1377
- "execution_count": 32,
1378
  "metadata": {},
1379
  "output_type": "execute_result"
1380
  }
@@ -1385,23 +1508,23 @@
1385
  },
1386
  {
1387
  "cell_type": "code",
1388
- "execution_count": 33,
1389
  "metadata": {},
1390
  "outputs": [
1391
  {
1392
  "data": {
1393
  "text/plain": [
1394
- "856 28675441_453303_eol-full-size-copy.jpg\n",
1395
- "3628 22574040_456490_eol-full-size-copy.jpg\n",
1396
- "11038 22222313_45511297_eol-full-size-copy.jpg\n",
1397
- "1526 20963513_45511277_eol-full-size-copy.jpg\n",
1398
- "3703 20080370_46579618_eol-full-size-copy.jpg\n",
1399
- "1991 21744553_1039032_eol-full-size-copy.jpg\n",
1400
- "9552 20997172_46561158_eol-full-size-copy.jpg\n",
1401
  "Name: file_name, dtype: object"
1402
  ]
1403
  },
1404
- "execution_count": 33,
1405
  "metadata": {},
1406
  "output_type": "execute_result"
1407
  }
@@ -1413,298 +1536,29 @@
1413
  },
1414
  {
1415
  "cell_type": "code",
1416
- "execution_count": 4,
1417
  "metadata": {},
1418
  "outputs": [],
1419
  "source": [
1420
  "# save filelist for easier fetching\n",
1421
- "rs_catalog[\"file_name\"].to_csv(\"../data/rs_file_list.txt\", index = False)"
 
1422
  ]
1423
  },
1424
  {
1425
  "cell_type": "markdown",
1426
  "metadata": {},
1427
  "source": [
1428
- "### Check for number of _unique_ images per species\n",
1429
- "\n",
1430
- "We want to see if we can replace the species that don't have at least 30 unique images per species in our rare species dataset. We need the full list of options from IUCN...We did hold out all 400?\n",
1431
- "\n",
1432
- "Would require going back and checking for species in predicted catalog that aren't in catalog, then comparing that to `links_manifest_cargo_on_md5`."
1433
  ]
1434
  },
1435
  {
1436
  "cell_type": "code",
1437
- "execution_count": 34,
1438
  "metadata": {},
1439
  "outputs": [],
1440
  "source": [
1441
- "pred_cat = pd.read_csv(\"../../data/predicted-catalog.csv\", low_memory=False)\n",
1442
- "catalog = pd.read_csv(\"../../data/data/catalog.csv\", low_memory=False)"
1443
- ]
1444
- },
1445
- {
1446
- "cell_type": "code",
1447
- "execution_count": 35,
1448
- "metadata": {},
1449
- "outputs": [],
1450
- "source": [
1451
- "# process catalog\n",
1452
- "catalog = catalog.loc[catalog.split != \"train_small\"]\n",
1453
- "eol_catalog = catalog.loc[catalog.eol_content_id.notna()]\n",
1454
- "eol_catalog = eol_catalog.astype({\"eol_content_id\": \"int64\", \"eol_page_id\": \"int64\"})\n",
1455
- "\n",
1456
- "# process pred-cat\n",
1457
- "eol_pred_cat = pred_cat.loc[pred_cat.eol_content_id.notna()]\n",
1458
- "eol_pred_cat = eol_pred_cat.astype({\"eol_content_id\": \"int64\", \"eol_page_id\": \"int64\"})"
1459
- ]
1460
- },
1461
- {
1462
- "cell_type": "code",
1463
- "execution_count": 39,
1464
- "metadata": {},
1465
- "outputs": [
1466
- {
1467
- "name": "stdout",
1468
- "output_type": "stream",
1469
- "text": [
1470
- "<class 'pandas.core.frame.DataFrame'>\n",
1471
- "RangeIndex: 6277374 entries, 0 to 6277373\n",
1472
- "Data columns (total 18 columns):\n",
1473
- " # Column Non-Null Count Dtype \n",
1474
- "--- ------ -------------- ----- \n",
1475
- " 0 split 6277374 non-null object \n",
1476
- " 1 treeoflife_id 6277374 non-null object \n",
1477
- " 2 eol_content_id_pred 6277374 non-null int64 \n",
1478
- " 3 eol_page_id 6277374 non-null int64 \n",
1479
- " 4 bioscan_part 0 non-null float64\n",
1480
- " 5 bioscan_filename 0 non-null object \n",
1481
- " 6 inat21_filename 0 non-null object \n",
1482
- " 7 inat21_cls_name 0 non-null object \n",
1483
- " 8 inat21_cls_num 0 non-null float64\n",
1484
- " 9 kingdom 6016565 non-null object \n",
1485
- " 10 phylum 6018161 non-null object \n",
1486
- " 11 class 5998392 non-null object \n",
1487
- " 12 order 5992253 non-null object \n",
1488
- " 13 family 5975682 non-null object \n",
1489
- " 14 genus 5967267 non-null object \n",
1490
- " 15 species 5978567 non-null object \n",
1491
- " 16 common 6277374 non-null object \n",
1492
- " 17 eol_content_id_cat 6250420 non-null float64\n",
1493
- "dtypes: float64(3), int64(2), object(13)\n",
1494
- "memory usage: 862.1+ MB\n"
1495
- ]
1496
- }
1497
- ],
1498
- "source": [
1499
- "full_pred_cat = pd.merge(eol_pred_cat, eol_catalog[[\"treeoflife_id\", \"eol_content_id\"]], on = \"treeoflife_id\", how = \"left\", suffixes = (\"_pred\", \"_cat\"))\n",
1500
- "full_pred_cat.info(show_counts = True)"
1501
- ]
1502
- },
1503
- {
1504
- "cell_type": "code",
1505
- "execution_count": 41,
1506
- "metadata": {},
1507
- "outputs": [
1508
- {
1509
- "data": {
1510
- "text/plain": [
1511
- "26954"
1512
- ]
1513
- },
1514
- "execution_count": 41,
1515
- "metadata": {},
1516
- "output_type": "execute_result"
1517
- }
1518
- ],
1519
- "source": [
1520
- "non_cat_ids = list(full_pred_cat.loc[full_pred_cat[\"eol_content_id_cat\"].isna(), \"treeoflife_id\"])\n",
1521
- "len(non_cat_ids)"
1522
- ]
1523
- },
1524
- {
1525
- "cell_type": "code",
1526
- "execution_count": 54,
1527
- "metadata": {},
1528
- "outputs": [
1529
- {
1530
- "name": "stderr",
1531
- "output_type": "stream",
1532
- "text": [
1533
- "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_2421/666684240.py:2: SettingWithCopyWarning: \n",
1534
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
1535
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
1536
- "\n",
1537
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
1538
- " pot_imgs[\"sciName\"] = pot_imgs[\"genus\"] + \" \" + pot_imgs[\"species\"]\n"
1539
- ]
1540
- },
1541
- {
1542
- "data": {
1543
- "text/plain": [
1544
- "split 2\n",
1545
- "treeoflife_id 26954\n",
1546
- "eol_content_id 26954\n",
1547
- "eol_page_id 831\n",
1548
- "bioscan_part 0\n",
1549
- "bioscan_filename 0\n",
1550
- "inat21_filename 0\n",
1551
- "inat21_cls_name 0\n",
1552
- "inat21_cls_num 0\n",
1553
- "kingdom 2\n",
1554
- "phylum 6\n",
1555
- "class 18\n",
1556
- "order 106\n",
1557
- "family 285\n",
1558
- "genus 566\n",
1559
- "species 749\n",
1560
- "common 796\n",
1561
- "sciName 802\n",
1562
- "dtype: int64"
1563
- ]
1564
- },
1565
- "execution_count": 54,
1566
- "metadata": {},
1567
- "output_type": "execute_result"
1568
- }
1569
- ],
1570
- "source": [
1571
- "pot_imgs = eol_pred_cat.loc[eol_pred_cat.treeoflife_id.isin(non_cat_ids)]\n",
1572
- "pot_imgs[\"sciName\"] = pot_imgs[\"genus\"] + \" \" + pot_imgs[\"species\"]\n",
1573
- "pot_imgs.nunique()"
1574
- ]
1575
- },
1576
- {
1577
- "cell_type": "markdown",
1578
- "metadata": {},
1579
- "source": [
1580
- "Interesting, we have 831 unique EOL page IDs, but only 802 unique scientific names. Wonder how that matches up with 7-tuples."
1581
- ]
1582
- },
1583
- {
1584
- "cell_type": "code",
1585
- "execution_count": 55,
1586
- "metadata": {},
1587
- "outputs": [
1588
- {
1589
- "name": "stderr",
1590
- "output_type": "stream",
1591
- "text": [
1592
- "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_2421/3965230711.py:2: SettingWithCopyWarning: \n",
1593
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
1594
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
1595
- "\n",
1596
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
1597
- " pot_imgs[\"duplicate\"] = pot_imgs.duplicated(subset = taxa, keep = \"first\")\n"
1598
- ]
1599
- },
1600
- {
1601
- "data": {
1602
- "text/plain": [
1603
- "duplicate\n",
1604
- "True 26152\n",
1605
- "False 802\n",
1606
- "Name: count, dtype: int64"
1607
- ]
1608
- },
1609
- "execution_count": 55,
1610
- "metadata": {},
1611
- "output_type": "execute_result"
1612
- }
1613
- ],
1614
- "source": [
1615
- "taxa = list(pot_imgs.columns)[9:-2]\n",
1616
- "pot_imgs[\"duplicate\"] = pot_imgs.duplicated(subset = taxa, keep = \"first\")\n",
1617
- "\n",
1618
- "# our species count this way is num true in duplicate\n",
1619
- "pot_imgs.duplicate.value_counts()"
1620
- ]
1621
- },
1622
- {
1623
- "cell_type": "markdown",
1624
- "metadata": {},
1625
- "source": [
1626
- "Okay, so this matches up with our `sciName` count."
1627
- ]
1628
- },
1629
- {
1630
- "cell_type": "code",
1631
- "execution_count": 56,
1632
- "metadata": {},
1633
- "outputs": [
1634
- {
1635
- "data": {
1636
- "text/plain": [
1637
- "(279370, 24)"
1638
- ]
1639
- },
1640
- "execution_count": 56,
1641
- "metadata": {},
1642
- "output_type": "execute_result"
1643
- }
1644
- ],
1645
- "source": [
1646
- "eol_cols = list(pot_imgs.columns)[1:4] + list(pot_imgs.columns)[9:]\n",
1647
- "\n",
1648
- "pot_imgs = pot_imgs[eol_cols]\n",
1649
- "\n",
1650
- "#compare to catalog sciNames\n",
1651
- "eol_catalog[\"sciName\"] = eol_catalog[\"genus\"] + \" \" + eol_catalog[\"species\"]\n",
1652
- "\n",
1653
- "overlap_sciNames = pd.merge(pot_imgs, eol_catalog[eol_cols[:-1]], on = \"sciName\", how = \"inner\")\n",
1654
- "overlap_sciNames.shape"
1655
- ]
1656
- },
1657
- {
1658
- "cell_type": "code",
1659
- "execution_count": 58,
1660
- "metadata": {},
1661
- "outputs": [
1662
- {
1663
- "data": {
1664
- "text/plain": [
1665
- "treeoflife_id_x 3994\n",
1666
- "eol_content_id_x 3994\n",
1667
- "eol_page_id_x 402\n",
1668
- "kingdom_x 2\n",
1669
- "phylum_x 6\n",
1670
- "class_x 15\n",
1671
- "order_x 81\n",
1672
- "family_x 192\n",
1673
- "genus_x 320\n",
1674
- "species_x 390\n",
1675
- "common_x 402\n",
1676
- "sciName 402\n",
1677
- "duplicate 2\n",
1678
- "treeoflife_id_y 28738\n",
1679
- "eol_content_id_y 28738\n",
1680
- "eol_page_id_y 444\n",
1681
- "kingdom_y 2\n",
1682
- "phylum_y 6\n",
1683
- "class_y 15\n",
1684
- "order_y 81\n",
1685
- "family_y 192\n",
1686
- "genus_y 320\n",
1687
- "species_y 390\n",
1688
- "common_y 402\n",
1689
- "dtype: int64"
1690
- ]
1691
- },
1692
- "execution_count": 58,
1693
- "metadata": {},
1694
- "output_type": "execute_result"
1695
- }
1696
- ],
1697
- "source": [
1698
- "overlap_sciNames.nunique()"
1699
- ]
1700
- },
1701
- {
1702
- "cell_type": "markdown",
1703
- "metadata": {},
1704
- "source": [
1705
- "Here are our other 402 species, so we didn't hold out anything but the 400 chosen.\n",
1706
- "\n",
1707
- "We're stuck with less images for some of them unless we source images from elsewhere."
1708
  ]
1709
  },
1710
  {
@@ -1734,7 +1588,7 @@
1734
  "name": "python",
1735
  "nbconvert_exporter": "python",
1736
  "pygments_lexer": "ipython3",
1737
- "version": "3.11.6"
1738
  }
1739
  },
1740
  "nbformat": 4,
 
9
  "import pandas as pd"
10
  ]
11
  },
12
+ {
13
+ "cell_type": "code",
14
+ "execution_count": 2,
15
+ "metadata": {},
16
+ "outputs": [],
17
+ "source": [
18
+ "RS_FILEPATH = \"../../rare_species/data/\""
19
+ ]
20
+ },
21
  {
22
  "cell_type": "markdown",
23
  "metadata": {},
24
  "source": [
25
+ "### Read in Links CSV file\n",
26
+ "\n",
27
+ "Full cargo archive has some more content than the [original `links_manifest_cargo_on_md5.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_manifest_cargo_on_md5.csv)."
28
  ]
29
  },
30
  {
31
  "cell_type": "code",
32
+ "execution_count": 3,
33
  "metadata": {},
34
  "outputs": [],
35
  "source": [
36
+ "links_manifest_cargo = pd.read_csv(\"../data/eol-cargo-archive_combined-manifest-checksums_links.csv\", low_memory=False)"
37
  ]
38
  },
39
  {
40
  "cell_type": "code",
41
+ "execution_count": 4,
42
  "metadata": {},
43
  "outputs": [
44
  {
 
46
  "output_type": "stream",
47
  "text": [
48
  "<class 'pandas.core.frame.DataFrame'>\n",
49
+ "RangeIndex: 7514001 entries, 0 to 7514000\n",
50
+ "Data columns (total 17 columns):\n",
51
+ " # Column Non-Null Count Dtype \n",
52
+ "--- ------ -------------- ----- \n",
53
+ " 0 filename_archive 7514001 non-null object\n",
54
+ " 1 md5_archive 7514001 non-null object\n",
55
+ " 2 combined_id_archive 7514001 non-null object\n",
56
+ " 3 filename_manifest 7514001 non-null object\n",
57
+ " 4 md5_combined_manifest 7514001 non-null object\n",
58
+ " 5 combined_id_manifest_redownload 7514001 non-null object\n",
59
+ " 6 eol_content_id 7514001 non-null int64 \n",
60
+ " 7 eol_page_id 7514001 non-null int64 \n",
61
+ " 8 medium_source_url 7514001 non-null object\n",
62
+ " 9 eol_full_size_copy_url 7514001 non-null object\n",
63
+ " 10 license_name 7514001 non-null object\n",
64
+ " 11 copyright_owner 6860825 non-null object\n",
65
+ " 12 expected_image_filename 7514001 non-null object\n",
66
+ " 13 source_0706 7514001 non-null bool \n",
67
+ " 14 source_0726 7514001 non-null bool \n",
68
+ " 15 source_1206 7514001 non-null bool \n",
69
+ " 16 combined_id_full_manifest 7514001 non-null object\n",
70
+ "dtypes: bool(3), int64(2), object(12)\n",
71
+ "memory usage: 824.1+ MB\n"
72
  ]
73
  }
74
  ],
 
85
  },
86
  {
87
  "cell_type": "code",
88
+ "execution_count": 5,
89
  "metadata": {},
90
  "outputs": [
91
  {
 
114
  }
115
  ],
116
  "source": [
117
+ "rs_catalog = pd.read_csv(RS_FILEPATH + \"rarespecies-catalog.csv\",\n",
118
  " low_memory=False,\n",
119
  " dtype = {\"eol_content_id\": \"int64\", \"eol_page_id\": \"int64\"})\n",
120
  "rs_catalog.info(show_counts = True)"
 
122
  },
123
  {
124
  "cell_type": "code",
125
+ "execution_count": 6,
126
  "metadata": {},
127
  "outputs": [],
128
  "source": [
 
132
  },
133
  {
134
  "cell_type": "code",
135
+ "execution_count": 7,
136
  "metadata": {},
137
  "outputs": [
138
  {
 
141
  "text": [
142
  "<class 'pandas.core.frame.DataFrame'>\n",
143
  "RangeIndex: 12552 entries, 0 to 12551\n",
144
+ "Data columns (total 29 columns):\n",
145
+ " # Column Non-Null Count Dtype \n",
146
+ "--- ------ -------------- ----- \n",
147
+ " 0 rarespecies_id 12552 non-null object\n",
148
+ " 1 eol_content_id_rs 12552 non-null int64 \n",
149
+ " 2 eol_page_id_rs 12552 non-null int64 \n",
150
+ " 3 kingdom 12552 non-null object\n",
151
+ " 4 phylum 12552 non-null object\n",
152
+ " 5 class 12552 non-null object\n",
153
+ " 6 order 12552 non-null object\n",
154
+ " 7 family 12552 non-null object\n",
155
+ " 8 genus 12552 non-null object\n",
156
+ " 9 species 12552 non-null object\n",
157
+ " 10 sciName 12552 non-null object\n",
158
+ " 11 combined_id_rs 12552 non-null object\n",
159
+ " 12 filename_archive 12552 non-null object\n",
160
+ " 13 md5_archive 12552 non-null object\n",
161
+ " 14 combined_id_archive 12552 non-null object\n",
162
+ " 15 filename_manifest 12552 non-null object\n",
163
+ " 16 md5_combined_manifest 12552 non-null object\n",
164
+ " 17 combined_id_manifest_redownload 12552 non-null object\n",
165
+ " 18 eol_content_id 12552 non-null int64 \n",
166
+ " 19 eol_page_id 12552 non-null int64 \n",
167
+ " 20 medium_source_url 12552 non-null object\n",
168
+ " 21 eol_full_size_copy_url 12552 non-null object\n",
169
+ " 22 license_name 12552 non-null object\n",
170
+ " 23 copyright_owner 11171 non-null object\n",
171
+ " 24 expected_image_filename 12552 non-null object\n",
172
+ " 25 source_0706 12552 non-null bool \n",
173
+ " 26 source_0726 12552 non-null bool \n",
174
+ " 27 source_1206 12552 non-null bool \n",
175
+ " 28 combined_id_full_manifest 12552 non-null object\n",
176
+ "dtypes: bool(3), int64(4), object(22)\n",
177
+ "memory usage: 2.5+ MB\n"
178
  ]
179
  }
180
  ],
 
182
  "rs_links = pd.merge(rs_catalog,\n",
183
  " links_manifest_cargo,\n",
184
  " left_on = \"combined_id_rs\",\n",
185
+ " right_on = \"combined_id_archive\", # merge on archive (replaced cargo)\n",
186
  " how = \"inner\")\n",
187
  "rs_links.info(show_counts = True)"
188
  ]
189
  },
190
  {
191
  "cell_type": "code",
192
+ "execution_count": 8,
193
  "metadata": {},
194
  "outputs": [
195
  {
196
  "data": {
197
  "text/plain": [
198
+ "rarespecies_id 11826\n",
199
+ "eol_content_id_rs 11826\n",
200
+ "eol_page_id_rs 400\n",
201
+ "kingdom 1\n",
202
+ "phylum 5\n",
203
+ "class 15\n",
204
+ "order 85\n",
205
+ "family 202\n",
206
+ "genus 316\n",
207
+ "species 385\n",
208
+ "sciName 400\n",
209
+ "combined_id_rs 11826\n",
210
+ "filename_archive 11826\n",
211
+ "md5_archive 11663\n",
212
+ "combined_id_archive 11826\n",
213
+ "filename_manifest 12221\n",
214
+ "md5_combined_manifest 11663\n",
215
+ "combined_id_manifest_redownload 12221\n",
216
+ "eol_content_id 12221\n",
217
+ "eol_page_id 447\n",
218
+ "medium_source_url 12056\n",
219
+ "eol_full_size_copy_url 12119\n",
220
+ "license_name 15\n",
221
+ "copyright_owner 3724\n",
222
+ "expected_image_filename 12221\n",
223
+ "source_0706 2\n",
224
+ "source_0726 2\n",
225
+ "source_1206 2\n",
226
+ "combined_id_full_manifest 12221\n",
227
  "dtype: int64"
228
  ]
229
  },
230
+ "execution_count": 8,
231
  "metadata": {},
232
  "output_type": "execute_result"
233
  }
 
236
  "rs_links.nunique()"
237
  ]
238
  },
239
+ {
240
+ "cell_type": "markdown",
241
+ "metadata": {},
242
+ "source": [
243
+ "All these numbers match our check with the cargo file."
244
+ ]
245
+ },
246
  {
247
  "cell_type": "markdown",
248
  "metadata": {},
 
252
  },
253
  {
254
  "cell_type": "code",
255
+ "execution_count": 9,
256
  "metadata": {},
257
  "outputs": [
258
  {
 
261
  "11826"
262
  ]
263
  },
264
+ "execution_count": 9,
265
  "metadata": {},
266
  "output_type": "execute_result"
267
  }
 
273
  },
274
  {
275
  "cell_type": "code",
276
+ "execution_count": 10,
277
  "metadata": {},
278
  "outputs": [
279
  {
 
285
  " '29975068_45509269']"
286
  ]
287
  },
288
+ "execution_count": 10,
289
  "metadata": {},
290
  "output_type": "execute_result"
291
  }
 
296
  },
297
  {
298
  "cell_type": "code",
299
+ "execution_count": 11,
300
  "metadata": {},
301
  "outputs": [
302
  {
303
  "data": {
304
  "text/plain": [
305
+ "7687 21071827_355546\n",
306
+ "6923 27808045_46570095\n",
307
+ "7019 20599607_45513966\n",
308
+ "873 28902910_311199\n",
309
  "Name: combined_id_rs, dtype: object"
310
  ]
311
  },
312
+ "execution_count": 11,
313
  "metadata": {},
314
  "output_type": "execute_result"
315
  }
 
320
  },
321
  {
322
  "cell_type": "code",
323
+ "execution_count": 12,
324
  "metadata": {},
325
  "outputs": [
326
  {
 
356
  },
357
  {
358
  "cell_type": "code",
359
+ "execution_count": 13,
360
  "metadata": {},
361
  "outputs": [
362
  {
 
377
  "dtype: int64"
378
  ]
379
  },
380
+ "execution_count": 13,
381
  "metadata": {},
382
  "output_type": "execute_result"
383
  }
 
388
  },
389
  {
390
  "cell_type": "code",
391
+ "execution_count": 14,
392
  "metadata": {},
393
  "outputs": [
394
  {
 
432
  "Name: count, dtype: int64"
433
  ]
434
  },
435
+ "execution_count": 14,
436
  "metadata": {},
437
  "output_type": "execute_result"
438
  }
 
443
  },
444
  {
445
  "cell_type": "code",
446
+ "execution_count": 15,
447
  "metadata": {},
448
  "outputs": [],
449
  "source": [
 
457
  },
458
  {
459
  "cell_type": "code",
460
+ "execution_count": 16,
461
  "metadata": {},
462
  "outputs": [
463
  {
 
471
  " array([46560546])]"
472
  ]
473
  },
474
+ "execution_count": 16,
475
  "metadata": {},
476
  "output_type": "execute_result"
477
  }
 
485
  },
486
  {
487
  "cell_type": "code",
488
+ "execution_count": 17,
489
  "metadata": {},
490
  "outputs": [
491
  {
 
499
  " (46560546, 24)]"
500
  ]
501
  },
502
+ "execution_count": 17,
503
  "metadata": {},
504
  "output_type": "execute_result"
505
  }
 
522
  },
523
  {
524
  "cell_type": "code",
525
+ "execution_count": 18,
526
  "metadata": {},
527
  "outputs": [
528
  {
 
562
  " </thead>\n",
563
  " <tbody>\n",
564
  " <tr>\n",
565
+ " <th>1413</th>\n",
566
+ " <td>d239159f-cb15-4c30-8aeb-d8177f8cf34a</td>\n",
567
+ " <td>30098492</td>\n",
568
  " <td>205909</td>\n",
569
  " <td>Animalia</td>\n",
570
  " <td>Chordata</td>\n",
 
574
  " <td>Scaphirhynchus</td>\n",
575
  " <td>albus</td>\n",
576
  " <td>Scaphirhynchus albus</td>\n",
577
+ " <td>30098492_205909</td>\n",
578
  " </tr>\n",
579
  " <tr>\n",
580
+ " <th>7619</th>\n",
581
+ " <td>4d7436d1-82de-416b-8a51-6452efd45f44</td>\n",
582
+ " <td>30098515</td>\n",
583
  " <td>205909</td>\n",
584
  " <td>Animalia</td>\n",
585
  " <td>Chordata</td>\n",
 
589
  " <td>Scaphirhynchus</td>\n",
590
  " <td>albus</td>\n",
591
  " <td>Scaphirhynchus albus</td>\n",
592
+ " <td>30098515_205909</td>\n",
593
  " </tr>\n",
594
  " <tr>\n",
595
  " <th>7916</th>\n",
 
607
  " <td>30098499_205909</td>\n",
608
  " </tr>\n",
609
  " <tr>\n",
610
+ " <th>11026</th>\n",
611
+ " <td>a9560f41-403d-46a0-a92a-9694cceffe96</td>\n",
612
+ " <td>30098523</td>\n",
613
  " <td>205909</td>\n",
614
  " <td>Animalia</td>\n",
615
  " <td>Chordata</td>\n",
 
619
  " <td>Scaphirhynchus</td>\n",
620
  " <td>albus</td>\n",
621
  " <td>Scaphirhynchus albus</td>\n",
622
+ " <td>30098523_205909</td>\n",
623
  " </tr>\n",
624
  " <tr>\n",
625
+ " <th>193</th>\n",
626
+ " <td>ba2857c7-f02d-44f9-a116-8a450dc53e14</td>\n",
627
+ " <td>30098516</td>\n",
628
  " <td>205909</td>\n",
629
  " <td>Animalia</td>\n",
630
  " <td>Chordata</td>\n",
 
634
  " <td>Scaphirhynchus</td>\n",
635
  " <td>albus</td>\n",
636
  " <td>Scaphirhynchus albus</td>\n",
637
+ " <td>30098516_205909</td>\n",
638
  " </tr>\n",
639
  " </tbody>\n",
640
  "</table>\n",
641
  "</div>"
642
  ],
643
  "text/plain": [
644
+ " rarespecies_id eol_content_id_rs \\\n",
645
+ "1413 d239159f-cb15-4c30-8aeb-d8177f8cf34a 30098492 \n",
646
+ "7619 4d7436d1-82de-416b-8a51-6452efd45f44 30098515 \n",
647
+ "7916 2d342a7c-7e0c-4981-9630-019bb90183be 30098499 \n",
648
+ "11026 a9560f41-403d-46a0-a92a-9694cceffe96 30098523 \n",
649
+ "193 ba2857c7-f02d-44f9-a116-8a450dc53e14 30098516 \n",
650
  "\n",
651
+ " eol_page_id_rs kingdom phylum class order \\\n",
652
+ "1413 205909 Animalia Chordata Actinopterygii Acipenseriformes \n",
653
+ "7619 205909 Animalia Chordata Actinopterygii Acipenseriformes \n",
654
+ "7916 205909 Animalia Chordata Actinopterygii Acipenseriformes \n",
655
+ "11026 205909 Animalia Chordata Actinopterygii Acipenseriformes \n",
656
+ "193 205909 Animalia Chordata Actinopterygii Acipenseriformes \n",
657
  "\n",
658
+ " family genus species sciName \\\n",
659
+ "1413 Acipenseridae Scaphirhynchus albus Scaphirhynchus albus \n",
660
+ "7619 Acipenseridae Scaphirhynchus albus Scaphirhynchus albus \n",
661
+ "7916 Acipenseridae Scaphirhynchus albus Scaphirhynchus albus \n",
662
+ "11026 Acipenseridae Scaphirhynchus albus Scaphirhynchus albus \n",
663
+ "193 Acipenseridae Scaphirhynchus albus Scaphirhynchus albus \n",
664
+ "\n",
665
+ " combined_id_rs \n",
666
+ "1413 30098492_205909 \n",
667
+ "7619 30098515_205909 \n",
668
+ "7916 30098499_205909 \n",
669
+ "11026 30098523_205909 \n",
670
+ "193 30098516_205909 "
671
  ]
672
  },
673
+ "execution_count": 18,
674
  "metadata": {},
675
  "output_type": "execute_result"
676
  }
 
689
  },
690
  {
691
  "cell_type": "code",
692
+ "execution_count": 19,
693
  "metadata": {},
694
  "outputs": [
695
  {
 
729
  " </thead>\n",
730
  " <tbody>\n",
731
  " <tr>\n",
732
+ " <th>9702</th>\n",
733
+ " <td>92da8fa4-fb94-42b3-9483-86d2672d6644</td>\n",
734
+ " <td>27648165</td>\n",
735
  " <td>46560546</td>\n",
736
  " <td>Animalia</td>\n",
737
  " <td>Chordata</td>\n",
 
741
  " <td>Raja</td>\n",
742
  " <td>asterias</td>\n",
743
  " <td>Raja asterias</td>\n",
744
+ " <td>27648165_46560546</td>\n",
745
  " </tr>\n",
746
  " <tr>\n",
747
+ " <th>3655</th>\n",
748
+ " <td>12633820-3a3a-4c77-bd38-7221bd18b747</td>\n",
749
+ " <td>27648157</td>\n",
750
  " <td>46560546</td>\n",
751
  " <td>Animalia</td>\n",
752
  " <td>Chordata</td>\n",
 
756
  " <td>Raja</td>\n",
757
  " <td>asterias</td>\n",
758
  " <td>Raja asterias</td>\n",
759
+ " <td>27648157_46560546</td>\n",
760
  " </tr>\n",
761
  " <tr>\n",
762
+ " <th>2025</th>\n",
763
+ " <td>6cb50905-48ee-4770-9605-91a95e3d027c</td>\n",
764
+ " <td>27648159</td>\n",
765
  " <td>46560546</td>\n",
766
  " <td>Animalia</td>\n",
767
  " <td>Chordata</td>\n",
 
771
  " <td>Raja</td>\n",
772
  " <td>asterias</td>\n",
773
  " <td>Raja asterias</td>\n",
774
+ " <td>27648159_46560546</td>\n",
775
  " </tr>\n",
776
  " <tr>\n",
777
+ " <th>1358</th>\n",
778
+ " <td>d436ec20-202d-44ec-9081-ca59afef356f</td>\n",
779
+ " <td>27648166</td>\n",
780
  " <td>46560546</td>\n",
781
  " <td>Animalia</td>\n",
782
  " <td>Chordata</td>\n",
 
786
  " <td>Raja</td>\n",
787
  " <td>asterias</td>\n",
788
  " <td>Raja asterias</td>\n",
789
+ " <td>27648166_46560546</td>\n",
790
  " </tr>\n",
791
  " <tr>\n",
792
+ " <th>6574</th>\n",
793
+ " <td>a7c43306-6a3a-4d94-b7f0-147ad9f20a73</td>\n",
794
+ " <td>27648160</td>\n",
795
  " <td>46560546</td>\n",
796
  " <td>Animalia</td>\n",
797
  " <td>Chordata</td>\n",
 
801
  " <td>Raja</td>\n",
802
  " <td>asterias</td>\n",
803
  " <td>Raja asterias</td>\n",
804
+ " <td>27648160_46560546</td>\n",
805
  " </tr>\n",
806
  " </tbody>\n",
807
  "</table>\n",
 
809
  ],
810
  "text/plain": [
811
  " rarespecies_id eol_content_id_rs eol_page_id_rs \\\n",
812
+ "9702 92da8fa4-fb94-42b3-9483-86d2672d6644 27648165 46560546 \n",
813
  "3655 12633820-3a3a-4c77-bd38-7221bd18b747 27648157 46560546 \n",
814
+ "2025 6cb50905-48ee-4770-9605-91a95e3d027c 27648159 46560546 \n",
 
 
815
  "1358 d436ec20-202d-44ec-9081-ca59afef356f 27648166 46560546 \n",
816
+ "6574 a7c43306-6a3a-4d94-b7f0-147ad9f20a73 27648160 46560546 \n",
817
  "\n",
818
  " kingdom phylum class order family genus species \\\n",
819
+ "9702 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
820
  "3655 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
821
+ "2025 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
 
 
822
  "1358 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
823
+ "6574 Animalia Chordata Chondrichthyes Rajiformes Rajidae Raja asterias \n",
824
  "\n",
825
  " sciName combined_id_rs \n",
826
+ "9702 Raja asterias 27648165_46560546 \n",
827
  "3655 Raja asterias 27648157_46560546 \n",
828
+ "2025 Raja asterias 27648159_46560546 \n",
829
+ "1358 Raja asterias 27648166_46560546 \n",
830
+ "6574 Raja asterias 27648160_46560546 "
 
831
  ]
832
  },
833
+ "execution_count": 19,
834
  "metadata": {},
835
  "output_type": "execute_result"
836
  }
 
848
  },
849
  {
850
  "cell_type": "code",
851
+ "execution_count": 20,
852
+ "metadata": {},
853
+ "outputs": [],
854
+ "source": [
855
+ "def get_archive_content(combined_id):\n",
856
+ " return combined_id.split(\"_\")[0]"
857
+ ]
858
+ },
859
+ {
860
+ "cell_type": "code",
861
+ "execution_count": 21,
862
+ "metadata": {},
863
+ "outputs": [],
864
+ "source": [
865
+ "links_manifest_cargo[\"eol_content_id_archive\"] = links_manifest_cargo[\"combined_id_archive\"].apply(get_archive_content)"
866
+ ]
867
+ },
868
+ {
869
+ "cell_type": "code",
870
+ "execution_count": 22,
871
  "metadata": {},
872
  "outputs": [
873
  {
 
891
  " <thead>\n",
892
  " <tr style=\"text-align: right;\">\n",
893
  " <th></th>\n",
894
+ " <th>filename_archive</th>\n",
895
+ " <th>md5_archive</th>\n",
896
+ " <th>combined_id_archive</th>\n",
897
+ " <th>filename_manifest</th>\n",
898
+ " <th>md5_combined_manifest</th>\n",
899
+ " <th>combined_id_manifest_redownload</th>\n",
900
  " <th>eol_content_id</th>\n",
901
  " <th>eol_page_id</th>\n",
902
  " <th>medium_source_url</th>\n",
 
907
  " <th>source_0706</th>\n",
908
  " <th>source_0726</th>\n",
909
  " <th>source_1206</th>\n",
910
+ " <th>combined_id_full_manifest</th>\n",
911
+ " <th>eol_content_id_archive</th>\n",
 
 
 
 
912
  " </tr>\n",
913
  " </thead>\n",
914
  " <tbody>\n",
 
918
  ],
919
  "text/plain": [
920
  "Empty DataFrame\n",
921
+ "Columns: [filename_archive, md5_archive, combined_id_archive, filename_manifest, md5_combined_manifest, combined_id_manifest_redownload, eol_content_id, eol_page_id, medium_source_url, eol_full_size_copy_url, license_name, copyright_owner, expected_image_filename, source_0706, source_0726, source_1206, combined_id_full_manifest, eol_content_id_archive]\n",
922
  "Index: []"
923
  ]
924
  },
925
+ "execution_count": 22,
926
  "metadata": {},
927
  "output_type": "execute_result"
928
  }
929
  ],
930
  "source": [
931
  "# check if content IDs get recycled, content ID: 27648165, now online as: 30223317\n",
932
+ "# is eol_content_id the archive content ID?\n",
933
+ "links_manifest_cargo.loc[links_manifest_cargo[\"eol_content_id_archive\"] == 30223317]"
934
  ]
935
  },
936
  {
937
  "cell_type": "code",
938
+ "execution_count": 23,
939
  "metadata": {},
940
  "outputs": [
941
  {
 
959
  " <thead>\n",
960
  " <tr style=\"text-align: right;\">\n",
961
  " <th></th>\n",
962
+ " <th>filename_archive</th>\n",
963
+ " <th>md5_archive</th>\n",
964
+ " <th>combined_id_archive</th>\n",
965
+ " <th>filename_manifest</th>\n",
966
+ " <th>md5_combined_manifest</th>\n",
967
+ " <th>combined_id_manifest_redownload</th>\n",
968
  " <th>eol_content_id</th>\n",
969
  " <th>eol_page_id</th>\n",
970
  " <th>medium_source_url</th>\n",
 
975
  " <th>source_0706</th>\n",
976
  " <th>source_0726</th>\n",
977
  " <th>source_1206</th>\n",
978
+ " <th>combined_id_full_manifest</th>\n",
979
+ " <th>eol_content_id_archive</th>\n",
 
 
 
 
980
  " </tr>\n",
981
  " </thead>\n",
982
  " <tbody>\n",
 
986
  ],
987
  "text/plain": [
988
  "Empty DataFrame\n",
989
+ "Columns: [filename_archive, md5_archive, combined_id_archive, filename_manifest, md5_combined_manifest, combined_id_manifest_redownload, eol_content_id, eol_page_id, medium_source_url, eol_full_size_copy_url, license_name, copyright_owner, expected_image_filename, source_0706, source_0726, source_1206, combined_id_full_manifest, eol_content_id_archive]\n",
990
  "Index: []"
991
  ]
992
  },
993
+ "execution_count": 23,
994
  "metadata": {},
995
  "output_type": "execute_result"
996
  }
 
1000
  "links_manifest_cargo.loc[links_manifest_cargo[\"eol_content_id\"] == 30223317]"
1001
  ]
1002
  },
1003
+ {
1004
+ "cell_type": "code",
1005
+ "execution_count": 24,
1006
+ "metadata": {},
1007
+ "outputs": [
1008
+ {
1009
+ "data": {
1010
+ "text/html": [
1011
+ "<div>\n",
1012
+ "<style scoped>\n",
1013
+ " .dataframe tbody tr th:only-of-type {\n",
1014
+ " vertical-align: middle;\n",
1015
+ " }\n",
1016
+ "\n",
1017
+ " .dataframe tbody tr th {\n",
1018
+ " vertical-align: top;\n",
1019
+ " }\n",
1020
+ "\n",
1021
+ " .dataframe thead th {\n",
1022
+ " text-align: right;\n",
1023
+ " }\n",
1024
+ "</style>\n",
1025
+ "<table border=\"1\" class=\"dataframe\">\n",
1026
+ " <thead>\n",
1027
+ " <tr style=\"text-align: right;\">\n",
1028
+ " <th></th>\n",
1029
+ " <th>filename_archive</th>\n",
1030
+ " <th>md5_archive</th>\n",
1031
+ " <th>combined_id_archive</th>\n",
1032
+ " <th>filename_manifest</th>\n",
1033
+ " <th>md5_combined_manifest</th>\n",
1034
+ " <th>combined_id_manifest_redownload</th>\n",
1035
+ " <th>eol_content_id</th>\n",
1036
+ " <th>eol_page_id</th>\n",
1037
+ " <th>medium_source_url</th>\n",
1038
+ " <th>eol_full_size_copy_url</th>\n",
1039
+ " <th>license_name</th>\n",
1040
+ " <th>copyright_owner</th>\n",
1041
+ " <th>expected_image_filename</th>\n",
1042
+ " <th>source_0706</th>\n",
1043
+ " <th>source_0726</th>\n",
1044
+ " <th>source_1206</th>\n",
1045
+ " <th>combined_id_full_manifest</th>\n",
1046
+ " <th>eol_content_id_archive</th>\n",
1047
+ " <th>eol_content_id_manifest</th>\n",
1048
+ " </tr>\n",
1049
+ " </thead>\n",
1050
+ " <tbody>\n",
1051
+ " </tbody>\n",
1052
+ "</table>\n",
1053
+ "</div>"
1054
+ ],
1055
+ "text/plain": [
1056
+ "Empty DataFrame\n",
1057
+ "Columns: [filename_archive, md5_archive, combined_id_archive, filename_manifest, md5_combined_manifest, combined_id_manifest_redownload, eol_content_id, eol_page_id, medium_source_url, eol_full_size_copy_url, license_name, copyright_owner, expected_image_filename, source_0706, source_0726, source_1206, combined_id_full_manifest, eol_content_id_archive, eol_content_id_manifest]\n",
1058
+ "Index: []"
1059
+ ]
1060
+ },
1061
+ "execution_count": 24,
1062
+ "metadata": {},
1063
+ "output_type": "execute_result"
1064
+ }
1065
+ ],
1066
+ "source": [
1067
+ "# to be sure we check manifest\n",
1068
+ "links_manifest_cargo[\"eol_content_id_manifest\"] = links_manifest_cargo[\"combined_id_full_manifest\"].apply(get_archive_content)\n",
1069
+ "\n",
1070
+ "links_manifest_cargo.loc[links_manifest_cargo[\"eol_content_id_manifest\"] == 30223317]"
1071
+ ]
1072
+ },
1073
  {
1074
  "cell_type": "markdown",
1075
  "metadata": {},
 
1079
  },
1080
  {
1081
  "cell_type": "code",
1082
+ "execution_count": 25,
1083
  "metadata": {},
1084
  "outputs": [],
1085
  "source": [
1086
  "# Save CSV of mismatched, they should be salvageable.\n",
1087
  "# We saw these images both online and in our cargo, just with different IDs\n",
1088
  "\n",
1089
+ "mismatched_rs.to_csv(\"../data/archive_mismatched_rarespecies.csv\", index=False)"
1090
  ]
1091
  },
1092
  {
 
1107
  },
1108
  {
1109
  "cell_type": "code",
1110
+ "execution_count": 26,
1111
  "metadata": {},
1112
  "outputs": [],
1113
  "source": [
1114
+ "rs_links[\"md5_dupes\"] = rs_links.duplicated(subset = \"md5_archive\", keep = \"first\")\n",
1115
  "rs_links[\"rs_id_dupes\"] = rs_links.duplicated(subset = \"rarespecies_id\", keep = \"first\")"
1116
  ]
1117
  },
1118
  {
1119
  "cell_type": "code",
1120
+ "execution_count": 27,
1121
  "metadata": {},
1122
  "outputs": [
1123
  {
 
1128
  "Name: count, dtype: int64"
1129
  ]
1130
  },
1131
+ "execution_count": 27,
1132
  "metadata": {},
1133
  "output_type": "execute_result"
1134
  }
 
1139
  },
1140
  {
1141
  "cell_type": "code",
1142
+ "execution_count": 28,
1143
  "metadata": {},
1144
  "outputs": [
1145
  {
 
1151
  "Name: count, dtype: int64"
1152
  ]
1153
  },
1154
+ "execution_count": 28,
1155
  "metadata": {},
1156
  "output_type": "execute_result"
1157
  }
 
1169
  },
1170
  {
1171
  "cell_type": "code",
1172
+ "execution_count": 29,
1173
  "metadata": {},
1174
  "outputs": [
1175
  {
1176
  "data": {
1177
  "text/plain": [
1178
+ "rarespecies_id 163\n",
1179
+ "eol_content_id_rs 163\n",
1180
+ "eol_page_id_rs 80\n",
1181
+ "kingdom 1\n",
1182
+ "phylum 4\n",
1183
+ "class 9\n",
1184
+ "order 37\n",
1185
+ "family 56\n",
1186
+ "genus 73\n",
1187
+ "species 80\n",
1188
+ "sciName 80\n",
1189
+ "combined_id_rs 163\n",
1190
+ "filename_archive 163\n",
1191
+ "md5_archive 163\n",
1192
+ "combined_id_archive 163\n",
1193
+ "filename_manifest 163\n",
1194
+ "md5_combined_manifest 163\n",
1195
+ "combined_id_manifest_redownload 163\n",
1196
+ "eol_content_id 163\n",
1197
+ "eol_page_id 80\n",
1198
+ "medium_source_url 163\n",
1199
+ "eol_full_size_copy_url 163\n",
1200
+ "license_name 10\n",
1201
+ "copyright_owner 54\n",
1202
+ "expected_image_filename 163\n",
1203
+ "source_0706 2\n",
1204
+ "source_0726 2\n",
1205
+ "source_1206 2\n",
1206
+ "combined_id_full_manifest 163\n",
1207
+ "md5_dupes 1\n",
1208
+ "rs_id_dupes 1\n",
1209
  "dtype: int64"
1210
  ]
1211
  },
1212
+ "execution_count": 29,
1213
  "metadata": {},
1214
  "output_type": "execute_result"
1215
  }
 
1222
  },
1223
  {
1224
  "cell_type": "code",
1225
+ "execution_count": 30,
1226
  "metadata": {},
1227
  "outputs": [
1228
  {
 
1242
  "Name: count, dtype: int64"
1243
  ]
1244
  },
1245
+ "execution_count": 30,
1246
  "metadata": {},
1247
  "output_type": "execute_result"
1248
  }
 
1267
  },
1268
  {
1269
  "cell_type": "code",
1270
+ "execution_count": 31,
1271
  "metadata": {},
1272
  "outputs": [
1273
  {
 
1276
  "[4453333, 460289, 45277122, 46561158, 1286909, 45510188, 45510548, 791049]"
1277
  ]
1278
  },
1279
+ "execution_count": 31,
1280
  "metadata": {},
1281
  "output_type": "execute_result"
1282
  }
 
1288
  },
1289
  {
1290
  "cell_type": "code",
1291
+ "execution_count": 32,
1292
  "metadata": {
1293
  "lines_to_next_cell": 2
1294
  },
 
1300
  "for pg_id in rs_sci_dupe_pgs:\n",
1301
  " num_images = links_manifest_cargo.loc[links_manifest_cargo[\"eol_page_id\"] == pg_id].shape[0]\n",
1302
  " num_images_by_pg[pg_id] = num_images\n",
1303
+ " num_unique_images = links_manifest_cargo.loc[links_manifest_cargo[\"eol_page_id\"] == pg_id, \"md5_archive\"].nunique()\n",
1304
  " num_unique_imgs_by_pg[pg_id] = num_unique_images"
1305
  ]
1306
  },
1307
  {
1308
  "cell_type": "code",
1309
+ "execution_count": 33,
1310
  "metadata": {},
1311
  "outputs": [
1312
  {
 
1315
  "80"
1316
  ]
1317
  },
1318
+ "execution_count": 33,
1319
  "metadata": {},
1320
  "output_type": "execute_result"
1321
  }
 
1326
  },
1327
  {
1328
  "cell_type": "code",
1329
+ "execution_count": 34,
1330
  "metadata": {},
1331
  "outputs": [
1332
  {
 
1356
  },
1357
  {
1358
  "cell_type": "code",
1359
+ "execution_count": 35,
1360
  "metadata": {},
1361
  "outputs": [
1362
  {
 
1497
  "4 leucoryx Oryx leucoryx 29462184_331080 "
1498
  ]
1499
  },
1500
+ "execution_count": 35,
1501
  "metadata": {},
1502
  "output_type": "execute_result"
1503
  }
 
1508
  },
1509
  {
1510
  "cell_type": "code",
1511
+ "execution_count": 36,
1512
  "metadata": {},
1513
  "outputs": [
1514
  {
1515
  "data": {
1516
  "text/plain": [
1517
+ "11143 28913274_330971_eol-full-size-copy.jpg\n",
1518
+ "8577 28895396_319982_eol-full-size-copy.jpg\n",
1519
+ "9267 22765674_791137_eol-full-size-copy.jpg\n",
1520
+ "10563 21669746_1181772_eol-full-size-copy.jpg\n",
1521
+ "5600 8965876_1038796_eol-full-size-copy.jpg\n",
1522
+ "9448 28905600_212582_eol-full-size-copy.jpg\n",
1523
+ "4526 21554082_1038643_eol-full-size-copy.jpg\n",
1524
  "Name: file_name, dtype: object"
1525
  ]
1526
  },
1527
+ "execution_count": 36,
1528
  "metadata": {},
1529
  "output_type": "execute_result"
1530
  }
 
1536
  },
1537
  {
1538
  "cell_type": "code",
1539
+ "execution_count": 37,
1540
  "metadata": {},
1541
  "outputs": [],
1542
  "source": [
1543
  "# save filelist for easier fetching\n",
1544
+ "#rs_catalog[\"file_name\"].to_csv(\"../data/rs_file_list.txt\", index = False)\n",
1545
+ "# Not needed now"
1546
  ]
1547
  },
1548
  {
1549
  "cell_type": "markdown",
1550
  "metadata": {},
1551
  "source": [
1552
+ "Save `rs_links` to file for adjusting Rare Species images for uniqueness."
 
 
 
 
1553
  ]
1554
  },
1555
  {
1556
  "cell_type": "code",
1557
+ "execution_count": 38,
1558
  "metadata": {},
1559
  "outputs": [],
1560
  "source": [
1561
+ "rs_links.to_csv(\"../data/rs_links.csv\", index = False)"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1562
  ]
1563
  },
1564
  {
 
1588
  "name": "python",
1589
  "nbconvert_exporter": "python",
1590
  "pygments_lexer": "ipython3",
1591
+ "version": "3.11.3"
1592
  }
1593
  },
1594
  "nbformat": 4,
eol_realign/notebooks/links_rs_duplicates.py CHANGED
@@ -16,11 +16,16 @@
16
  # %%
17
  import pandas as pd
18
 
 
 
 
19
  # %% [markdown]
20
  # ### Read in Links CSV file
 
 
21
 
22
  # %%
23
- links_manifest_cargo = pd.read_csv("../data/links_manifest_cargo_on_md5.csv", low_memory=False)
24
 
25
  # %%
26
  links_manifest_cargo.info(show_counts=True)
@@ -29,7 +34,7 @@ links_manifest_cargo.info(show_counts=True)
29
  # ## Check on Rare Species Catalog
30
 
31
  # %%
32
- rs_catalog = pd.read_csv("../../rare_species/data/rarespecies-catalog.csv",
33
  low_memory=False,
34
  dtype = {"eol_content_id": "int64", "eol_page_id": "int64"})
35
  rs_catalog.info(show_counts = True)
@@ -42,13 +47,16 @@ rs_catalog.rename(columns={'eol_content_id': 'eol_content_id_rs', 'eol_page_id':
42
  rs_links = pd.merge(rs_catalog,
43
  links_manifest_cargo,
44
  left_on = "combined_id_rs",
45
- right_on = "combined_id_cargo",
46
  how = "inner")
47
  rs_links.info(show_counts = True)
48
 
49
  # %%
50
  rs_links.nunique()
51
 
 
 
 
52
  # %% [markdown]
53
  # Let's check the mismatched cargo/manifest entries for those last 174...
54
 
@@ -107,17 +115,33 @@ big_mismatch.loc[big_mismatch["eol_page_id_rs"] == 205909].sample(5)
107
  # %%
108
  big_mismatch.loc[big_mismatch["eol_page_id_rs"] == 46560546].sample(5)
109
 
 
110
  # %% [markdown]
111
  # Meanwhile, these are giving me 404's: 27648160, 27648159, 27648164, 27648161, 27648166
112
 
 
 
 
 
 
 
 
 
113
  # %%
114
  # check if content IDs get recycled, content ID: 27648165, now online as: 30223317
115
- links_manifest_cargo.loc[links_manifest_cargo["eol_content_id_cargo"] == 30223317]
 
116
 
117
  # %%
118
  # Is it in manifest?
119
  links_manifest_cargo.loc[links_manifest_cargo["eol_content_id"] == 30223317]
120
 
 
 
 
 
 
 
121
  # %% [markdown]
122
  # This tracks with all eol content IDs being unique across manifest versions...would there be some other intermediate stage where it changed IDs _again_?!
123
 
@@ -125,7 +149,7 @@ links_manifest_cargo.loc[links_manifest_cargo["eol_content_id"] == 30223317]
125
  # Save CSV of mismatched, they should be salvageable.
126
  # We saw these images both online and in our cargo, just with different IDs
127
 
128
- mismatched_rs.to_csv("../data/mismatched_rarespecies.csv", index=False)
129
 
130
  # %% [markdown]
131
  # Most of our images for some of these species are missing their metadata. For the vast majority of the species, it's just 1 or 2 images.
@@ -136,7 +160,7 @@ mismatched_rs.to_csv("../data/mismatched_rarespecies.csv", index=False)
136
  # Now I want some more info on those duplicated MD5's.
137
 
138
  # %%
139
- rs_links["md5_dupes"] = rs_links.duplicated(subset = "md5", keep = "first")
140
  rs_links["rs_id_dupes"] = rs_links.duplicated(subset = "rarespecies_id", keep = "first")
141
 
142
  # %%
@@ -173,7 +197,7 @@ num_unique_imgs_by_pg = {}
173
  for pg_id in rs_sci_dupe_pgs:
174
  num_images = links_manifest_cargo.loc[links_manifest_cargo["eol_page_id"] == pg_id].shape[0]
175
  num_images_by_pg[pg_id] = num_images
176
- num_unique_images = links_manifest_cargo.loc[links_manifest_cargo["eol_page_id"] == pg_id, "md5"].nunique()
177
  num_unique_imgs_by_pg[pg_id] = num_unique_images
178
 
179
 
@@ -197,72 +221,13 @@ rs_catalog["file_name"].sample(7)
197
 
198
  # %%
199
  # save filelist for easier fetching
200
- rs_catalog["file_name"].to_csv("../data/rs_file_list.txt", index = False)
201
-
202
- # %% [markdown]
203
- # ### Check for number of _unique_ images per species
204
- #
205
- # We want to see if we can replace the species that don't have at least 30 unique images per species in our rare species dataset. We need the full list of options from IUCN...We did hold out all 400?
206
- #
207
- # Would require going back and checking for species in predicted catalog that aren't in catalog, then comparing that to `links_manifest_cargo_on_md5`.
208
-
209
- # %%
210
- pred_cat = pd.read_csv("../../data/predicted-catalog.csv", low_memory=False)
211
- catalog = pd.read_csv("../../data/data/catalog.csv", low_memory=False)
212
-
213
- # %%
214
- # process catalog
215
- catalog = catalog.loc[catalog.split != "train_small"]
216
- eol_catalog = catalog.loc[catalog.eol_content_id.notna()]
217
- eol_catalog = eol_catalog.astype({"eol_content_id": "int64", "eol_page_id": "int64"})
218
-
219
- # process pred-cat
220
- eol_pred_cat = pred_cat.loc[pred_cat.eol_content_id.notna()]
221
- eol_pred_cat = eol_pred_cat.astype({"eol_content_id": "int64", "eol_page_id": "int64"})
222
-
223
- # %%
224
- full_pred_cat = pd.merge(eol_pred_cat, eol_catalog[["treeoflife_id", "eol_content_id"]], on = "treeoflife_id", how = "left", suffixes = ("_pred", "_cat"))
225
- full_pred_cat.info(show_counts = True)
226
-
227
- # %%
228
- non_cat_ids = list(full_pred_cat.loc[full_pred_cat["eol_content_id_cat"].isna(), "treeoflife_id"])
229
- len(non_cat_ids)
230
-
231
- # %%
232
- pot_imgs = eol_pred_cat.loc[eol_pred_cat.treeoflife_id.isin(non_cat_ids)]
233
- pot_imgs["sciName"] = pot_imgs["genus"] + " " + pot_imgs["species"]
234
- pot_imgs.nunique()
235
 
236
  # %% [markdown]
237
- # Interesting, we have 831 unique EOL page IDs, but only 802 unique scientific names. Wonder how that matches up with 7-tuples.
238
 
239
  # %%
240
- taxa = list(pot_imgs.columns)[9:-2]
241
- pot_imgs["duplicate"] = pot_imgs.duplicated(subset = taxa, keep = "first")
242
-
243
- # our species count this way is num true in duplicate
244
- pot_imgs.duplicate.value_counts()
245
-
246
- # %% [markdown]
247
- # Okay, so this matches up with our `sciName` count.
248
-
249
- # %%
250
- eol_cols = list(pot_imgs.columns)[1:4] + list(pot_imgs.columns)[9:]
251
-
252
- pot_imgs = pot_imgs[eol_cols]
253
-
254
- #compare to catalog sciNames
255
- eol_catalog["sciName"] = eol_catalog["genus"] + " " + eol_catalog["species"]
256
-
257
- overlap_sciNames = pd.merge(pot_imgs, eol_catalog[eol_cols[:-1]], on = "sciName", how = "inner")
258
- overlap_sciNames.shape
259
-
260
- # %%
261
- overlap_sciNames.nunique()
262
-
263
- # %% [markdown]
264
- # Here are our other 402 species, so we didn't hold out anything but the 400 chosen.
265
- #
266
- # We're stuck with less images for some of them unless we source images from elsewhere.
267
 
268
  # %%
 
16
  # %%
17
  import pandas as pd
18
 
19
+ # %%
20
+ RS_FILEPATH = "../../rare_species/data/"
21
+
22
  # %% [markdown]
23
  # ### Read in Links CSV file
24
+ #
25
+ # Full cargo archive has some more content than the [original `links_manifest_cargo_on_md5.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_manifest_cargo_on_md5.csv).
26
 
27
  # %%
28
+ links_manifest_cargo = pd.read_csv("../data/eol-cargo-archive_combined-manifest-checksums_links.csv", low_memory=False)
29
 
30
  # %%
31
  links_manifest_cargo.info(show_counts=True)
 
34
  # ## Check on Rare Species Catalog
35
 
36
  # %%
37
+ rs_catalog = pd.read_csv(RS_FILEPATH + "rarespecies-catalog.csv",
38
  low_memory=False,
39
  dtype = {"eol_content_id": "int64", "eol_page_id": "int64"})
40
  rs_catalog.info(show_counts = True)
 
47
  rs_links = pd.merge(rs_catalog,
48
  links_manifest_cargo,
49
  left_on = "combined_id_rs",
50
+ right_on = "combined_id_archive", # merge on archive (replaced cargo)
51
  how = "inner")
52
  rs_links.info(show_counts = True)
53
 
54
  # %%
55
  rs_links.nunique()
56
 
57
+ # %% [markdown]
58
+ # All these numbers match our check with the cargo file.
59
+
60
  # %% [markdown]
61
  # Let's check the mismatched cargo/manifest entries for those last 174...
62
 
 
115
  # %%
116
  big_mismatch.loc[big_mismatch["eol_page_id_rs"] == 46560546].sample(5)
117
 
118
+
119
  # %% [markdown]
120
  # Meanwhile, these are giving me 404's: 27648160, 27648159, 27648164, 27648161, 27648166
121
 
122
+ # %%
123
+ def get_archive_content(combined_id):
124
+ return combined_id.split("_")[0]
125
+
126
+
127
+ # %%
128
+ links_manifest_cargo["eol_content_id_archive"] = links_manifest_cargo["combined_id_archive"].apply(get_archive_content)
129
+
130
  # %%
131
  # check if content IDs get recycled, content ID: 27648165, now online as: 30223317
132
+ # is eol_content_id the archive content ID?
133
+ links_manifest_cargo.loc[links_manifest_cargo["eol_content_id_archive"] == 30223317]
134
 
135
  # %%
136
  # Is it in manifest?
137
  links_manifest_cargo.loc[links_manifest_cargo["eol_content_id"] == 30223317]
138
 
139
+ # %%
140
+ # to be sure we check manifest
141
+ links_manifest_cargo["eol_content_id_manifest"] = links_manifest_cargo["combined_id_full_manifest"].apply(get_archive_content)
142
+
143
+ links_manifest_cargo.loc[links_manifest_cargo["eol_content_id_manifest"] == 30223317]
144
+
145
  # %% [markdown]
146
  # This tracks with all eol content IDs being unique across manifest versions...would there be some other intermediate stage where it changed IDs _again_?!
147
 
 
149
  # Save CSV of mismatched, they should be salvageable.
150
  # We saw these images both online and in our cargo, just with different IDs
151
 
152
+ mismatched_rs.to_csv("../data/archive_mismatched_rarespecies.csv", index=False)
153
 
154
  # %% [markdown]
155
  # Most of our images for some of these species are missing their metadata. For the vast majority of the species, it's just 1 or 2 images.
 
160
  # Now I want some more info on those duplicated MD5's.
161
 
162
  # %%
163
+ rs_links["md5_dupes"] = rs_links.duplicated(subset = "md5_archive", keep = "first")
164
  rs_links["rs_id_dupes"] = rs_links.duplicated(subset = "rarespecies_id", keep = "first")
165
 
166
  # %%
 
197
  for pg_id in rs_sci_dupe_pgs:
198
  num_images = links_manifest_cargo.loc[links_manifest_cargo["eol_page_id"] == pg_id].shape[0]
199
  num_images_by_pg[pg_id] = num_images
200
+ num_unique_images = links_manifest_cargo.loc[links_manifest_cargo["eol_page_id"] == pg_id, "md5_archive"].nunique()
201
  num_unique_imgs_by_pg[pg_id] = num_unique_images
202
 
203
 
 
221
 
222
  # %%
223
  # save filelist for easier fetching
224
+ #rs_catalog["file_name"].to_csv("../data/rs_file_list.txt", index = False)
225
+ # Not needed now
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
226
 
227
  # %% [markdown]
228
+ # Save `rs_links` to file for adjusting Rare Species images for uniqueness.
229
 
230
  # %%
231
+ rs_links.to_csv("../data/rs_links.csv", index = False)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
232
 
233
  # %%