diff --git "a/notebooks/ToL_catalog_EDA.ipynb" "b/notebooks/ToL_catalog_EDA.ipynb" --- "a/notebooks/ToL_catalog_EDA.ipynb" +++ "b/notebooks/ToL_catalog_EDA.ipynb" @@ -22,8 +22,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_90984/1753147992.py:1: DtypeWarning: Columns (5,6,7) have mixed types. Specify dtype option on import or set low_memory=False.\n", - " df = pd.read_csv(\"../data/statistics.csv\")\n" + "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_21438/2566980770.py:1: DtypeWarning: Columns (5,6,7) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " df = pd.read_csv(\"../data/catalog.csv\")\n" ] } ], @@ -230,27 +230,27 @@ "output_type": "stream", "text": [ "\n", - "RangeIndex: 11022075 entries, 0 to 11022074\n", + "RangeIndex: 11021779 entries, 0 to 11021778\n", "Data columns (total 17 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 split 11022075 non-null object \n", - " 1 treeoflife_id 11022075 non-null object \n", - " 2 eol_content_id 6844480 non-null float64\n", - " 3 eol_page_id 6844480 non-null float64\n", + " 0 split 11021779 non-null object \n", + " 1 treeoflife_id 11021779 non-null object \n", + " 2 eol_content_id 6844184 non-null float64\n", + " 3 eol_page_id 6844184 non-null float64\n", " 4 bioscan_part 1235502 non-null float64\n", " 5 bioscan_filename 1235502 non-null object \n", " 6 inat21_filename 2942093 non-null object \n", " 7 inat21_cls_name 2942093 non-null object \n", " 8 inat21_cls_num 2942093 non-null float64\n", - " 9 kingdom 10603907 non-null object \n", - " 10 phylum 10614632 non-null object \n", - " 11 class 10588333 non-null object \n", - " 12 order 10585664 non-null object \n", - " 13 family 10551249 non-null object \n", - " 14 genus 9725732 non-null object \n", - " 15 species 9551898 non-null object \n", - " 16 common 11022075 non-null object \n", + " 9 kingdom 10736334 non-null object \n", + " 10 phylum 10738087 non-null object \n", + " 11 class 10716389 non-null object \n", + " 12 order 10709733 non-null object \n", + " 13 family 10674746 non-null object \n", + " 14 genus 9725443 non-null object \n", + " 15 species 9551602 non-null object \n", + " 16 common 11021779 non-null object \n", "dtypes: float64(4), object(13)\n", "memory usage: 1.4+ GB\n" ] @@ -286,27 +286,27 @@ "output_type": "stream", "text": [ "\n", - "Index: 10065845 entries, 956230 to 11022074\n", + "Index: 10065576 entries, 956203 to 11021778\n", "Data columns (total 17 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 split 10065845 non-null object \n", - " 1 treeoflife_id 10065845 non-null object \n", - " 2 eol_content_id 6250689 non-null float64\n", - " 3 eol_page_id 6250689 non-null float64\n", + " 0 split 10065576 non-null object \n", + " 1 treeoflife_id 10065576 non-null object \n", + " 2 eol_content_id 6250420 non-null float64\n", + " 3 eol_page_id 6250420 non-null float64\n", " 4 bioscan_part 1128313 non-null float64\n", " 5 bioscan_filename 1128313 non-null object \n", " 6 inat21_filename 2686843 non-null object \n", " 7 inat21_cls_name 2686843 non-null object \n", " 8 inat21_cls_num 2686843 non-null float64\n", - " 9 kingdom 9683696 non-null object \n", - " 10 phylum 9693478 non-null object \n", - " 11 class 9669514 non-null object \n", - " 12 order 9667014 non-null object \n", - " 13 family 9635607 non-null object \n", - " 14 genus 8881576 non-null object \n", - " 15 species 8723172 non-null object \n", - " 16 common 10065845 non-null object \n", + " 9 kingdom 9804767 non-null object \n", + " 10 phylum 9806363 non-null object \n", + " 11 class 9786594 non-null object \n", + " 12 order 9780455 non-null object \n", + " 13 family 9748493 non-null object \n", + " 14 genus 8881314 non-null object \n", + " 15 species 8722903 non-null object \n", + " 16 common 10065576 non-null object \n", "dtypes: float64(4), object(13)\n", "memory usage: 1.3+ GB\n" ] @@ -320,9 +320,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Original version had 10,436,521 entries; we expected loss of about 84K from the genera with label \"unknown\", but there's still another ~300K missing for this 10,065,845. Likely due to dropping subspecies, which will now be integrated back in under their species for the next round.\n", + "Original version had 10,436,521 entries; we expected loss of about 84K from the genera with label \"unknown\", but there's still another ~300K missing for this 10,065,576. It seems subspecies were not integrated back in under their species for this version, as we now have 269 less images than last time.\n", "\n", - "Labeling definitely has far better coverage from original, and even improves over the last version (of course `common` is completely filled, but we also gained almost 50K more taxa labels across the board)." + "Coverage for species also dropped by 269, genus is similar.\n", + "\n", + "Labeling definitely has far better coverage from original still." ] }, { @@ -334,22 +336,22 @@ "data": { "text/plain": [ "split 2\n", - "treeoflife_id 10065845\n", - "eol_content_id 6250689\n", - "eol_page_id 503595\n", + "treeoflife_id 10065576\n", + "eol_content_id 6250420\n", + "eol_page_id 503589\n", "bioscan_part 113\n", "bioscan_filename 1128313\n", "inat21_filename 2686843\n", "inat21_cls_name 10000\n", "inat21_cls_num 10000\n", - "kingdom 7\n", - "phylum 90\n", - "class 284\n", - "order 1331\n", - "family 7792\n", + "kingdom 12\n", + "phylum 108\n", + "class 347\n", + "order 1495\n", + "family 7968\n", "genus 73857\n", - "species 164844\n", - "common 444893\n", + "species 163657\n", + "common 443898\n", "dtype: int64" ] }, @@ -366,14 +368,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There are 503,595 unique EOL page IDs, suggesting 503,595 unique classes among the 6,250,689 images pulled from EOL (and maintained here). Presumably this would represent the number of species or other lowest rank taxa covered by EOL." + "There are 503,589 unique EOL page IDs, suggesting 503,589 unique classes among the 6,250,420 images pulled from EOL (and maintained here). Presumably this would represent the number of species or other lowest rank taxa covered by EOL.\n", + "\n", + "This is only 6 less pages than v3.2, but 269 less images." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Notice that we have 7 unique kingdoms, which we're sticking with." + "Notice that we now have 12 unique kingdoms, instead of the 7 we were sticking with." ] }, { @@ -385,13 +389,18 @@ "data": { "text/plain": [ "kingdom\n", - "Animalia 5987044\n", - "Plantae 3320712\n", - "Fungi 355684\n", - "Protozoa 10924\n", - "Chromista 6443\n", - "Bacteria 2864\n", - "Archaea 25\n", + "Animalia 6070806\n", + "Plantae 3339371\n", + "Fungi 359553\n", + "Chromista 15227\n", + "Protozoa 13755\n", + "Bacteria 3309\n", + "Viridiplantae 1960\n", + "Protista 422\n", + "Orthornavirae 289\n", + "Bamfordvirae 41\n", + "Archaea 25\n", + "Shotokuvirae 9\n", "Name: count, dtype: int64" ] }, @@ -404,6 +413,13 @@ "df['kingdom'].value_counts()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`Viridiplantae`, `Protista`, `Orthornavirae`, `Bamfordvirae`, and `Shotokuvirae` are all new. " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -415,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -424,7 +440,7 @@ "['kingdom', 'phylum', 'class', 'order', 'family', 'genus', 'species']" ] }, - "execution_count": 11, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -443,7 +459,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -451,19 +467,19 @@ "output_type": "stream", "text": [ "\n", - "Index: 8320837 entries, 956230 to 11022074\n", + "Index: 8455243 entries, 956203 to 11021778\n", "Data columns (total 7 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 kingdom 8320837 non-null object\n", - " 1 phylum 8320837 non-null object\n", - " 2 class 8320837 non-null object\n", - " 3 order 8320837 non-null object\n", - " 4 family 8320837 non-null object\n", - " 5 genus 8320837 non-null object\n", - " 6 species 8320837 non-null object\n", + " 0 kingdom 8455243 non-null object\n", + " 1 phylum 8455243 non-null object\n", + " 2 class 8455243 non-null object\n", + " 3 order 8455243 non-null object\n", + " 4 family 8455243 non-null object\n", + " 5 genus 8455243 non-null object\n", + " 6 species 8455243 non-null object\n", "dtypes: object(7)\n", - "memory usage: 507.9+ MB\n" + "memory usage: 516.1+ MB\n" ] } ], @@ -476,11 +492,132 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We have 8,320,837 images with full taxonomic labels.\n", + "We have 8,455,243 images with full taxonomic labels.\n", "\n", - "Notice that we still have gaps in the taxonomic hierarchy (both higher and lower values), as this is less than the number of species labels in the dataset and species had the least non-null values. \n", + "Notice that we still have gaps in the taxonomic hierarchy (both higher and lower values), as this is less than the number of species labels in the dataset and species had the least non-null values, but the gap is closing! \n", "\n", - "We did hit 8M+ entries with full taxonomic labels, so that's really good, especially considering 1,043,863 of the BIOSCAN sourced images don't have species labels." + "We're at 8.4M+ entries with full taxonomic labels, so that's really good, especially considering 1,043,863 of the BIOSCAN sourced images don't have species labels." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How about number of unique 7-tuples?" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "#number of unique 7-tuples in full dataset\n", + "df['duplicate'] = df.duplicated(subset = taxa, keep = 'first')\n", + "df_unique_taxa = df.loc[~df['duplicate']]" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 454103 entries, 956203 to 11000902\n", + "Data columns (total 19 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 split 454103 non-null object \n", + " 1 treeoflife_id 454103 non-null object \n", + " 2 eol_content_id 446988 non-null float64\n", + " 3 eol_page_id 446988 non-null float64\n", + " 4 bioscan_part 5328 non-null float64\n", + " 5 bioscan_filename 5328 non-null object \n", + " 6 inat21_filename 1787 non-null object \n", + " 7 inat21_cls_name 1787 non-null object \n", + " 8 inat21_cls_num 1787 non-null float64\n", + " 9 kingdom 424949 non-null object \n", + " 10 phylum 425412 non-null object \n", + " 11 class 424296 non-null object \n", + " 12 order 424642 non-null object \n", + " 13 family 424513 non-null object \n", + " 14 genus 427476 non-null object \n", + " 15 species 414061 non-null object \n", + " 16 common 454103 non-null object \n", + " 17 data_source 454103 non-null object \n", + " 18 duplicate 454103 non-null bool \n", + "dtypes: bool(1), float64(4), object(14)\n", + "memory usage: 66.3+ MB\n" + ] + } + ], + "source": [ + "df_unique_taxa.info(show_counts = True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And number of unique `genus-species` pairs?" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "#number of unique genus-species pairs in full dataset\n", + "df['sciName-duplicate'] = df.duplicated(subset = ['genus', 'species'], keep = 'first')\n", + "df_unique_sciName = df.loc[~df['sciName-duplicate']]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 447462 entries, 956203 to 11000902\n", + "Data columns (total 20 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 split 447462 non-null object \n", + " 1 treeoflife_id 447462 non-null object \n", + " 2 eol_content_id 441554 non-null float64\n", + " 3 eol_page_id 441554 non-null float64\n", + " 4 bioscan_part 5085 non-null float64\n", + " 5 bioscan_filename 5085 non-null object \n", + " 6 inat21_filename 823 non-null object \n", + " 7 inat21_cls_name 823 non-null object \n", + " 8 inat21_cls_num 823 non-null float64\n", + " 9 kingdom 418488 non-null object \n", + " 10 phylum 418888 non-null object \n", + " 11 class 417965 non-null object \n", + " 12 order 418287 non-null object \n", + " 13 family 418677 non-null object \n", + " 14 genus 425770 non-null object \n", + " 15 species 412555 non-null object \n", + " 16 common 447462 non-null object \n", + " 17 data_source 447462 non-null object \n", + " 18 duplicate 447462 non-null bool \n", + " 19 sciName-duplicate 447462 non-null bool \n", + "dtypes: bool(2), float64(4), object(14)\n", + "memory usage: 65.7+ MB\n" + ] + } + ], + "source": [ + "df_unique_sciName.info(show_counts = True)" ] }, { @@ -490,25 +627,25 @@ "More detail on these missing values from [`check_taxa` script](https://github.com/Imageomics/open_clip/blob/main/scripts/evobio10m/check_taxa.py) are displayed below. Note: full record of taxa check output is in `data/missing_taxa_output.txt`.\n", "\n", "```\n", - "[2023-10-26 13:44:09,780] [WARNING] [root] There are 7 kingdoms instead of 3.\n", - "[2023-10-26 13:44:11,325] [WARNING] [root] 160824 entries are missing rank kingdom, but have genus label.\n", - "[2023-10-26 13:44:11,613] [WARNING] [root] 151405 entries are missing rank phylum, but have genus label.\n", - "[2023-10-26 13:44:11,910] [WARNING] [root] 161871 entries are missing rank class, but have genus label.\n", - "[2023-10-26 13:44:12,199] [WARNING] [root] 156405 entries are missing rank order, but have genus label.\n", - "[2023-10-26 13:44:12,483] [WARNING] [root] 153279 entries are missing rank family, but have genus label.\n", - "[2023-10-26 13:44:12,782] [WARNING] [root] 315 entries are missing rank kingdom, but have family label.\n", - "[2023-10-26 13:44:12,809] [WARNING] [root] 289 entries are missing rank phylum, but have family label.\n", - "[2023-10-26 13:44:12,837] [WARNING] [root] 792 entries are missing rank class, but have family label.\n", - "[2023-10-26 13:44:12,865] [WARNING] [root] 414 entries are missing rank order, but have family label.\n", - "[2023-10-26 13:44:12,905] [WARNING] [root] 170 entries are missing rank kingdom, but have order label.\n", - "[2023-10-26 13:44:12,906] [WARNING] [root] 105 entries are missing rank phylum, but have order label.\n", - "[2023-10-26 13:44:12,908] [WARNING] [root] 1263 entries are missing rank class, but have order label.\n", - "[2023-10-26 13:44:12,949] [WARNING] [root] 41 entries have kingdom and species labels but no genus.\n", - "[2023-10-26 13:44:12,953] [WARNING] [root] 41 entries have phylum and species labels but no genus.\n", - "[2023-10-26 13:44:12,957] [WARNING] [root] 41 entries have class and species labels but no genus.\n", - "[2023-10-26 13:44:12,961] [WARNING] [root] 41 entries have order and species labels but no genus.\n", - "[2023-10-26 13:44:12,965] [WARNING] [root] 41 entries have family and species labels but no genus.\n", - "[2023-10-26 13:44:14,425] [WARNING] [root] There are 149057 samples for which the species column may have genus and species.\n", + "[2023-10-30 17:31:38,357] [WARNING] [root] There are 12 kingdoms instead of 3.\n", + "[2023-10-30 17:31:39,420] [WARNING] [root] 39574 entries are missing rank kingdom, but have genus label.\n", + "[2023-10-30 17:31:39,681] [WARNING] [root] 38324 entries are missing rank phylum, but have genus label.\n", + "[2023-10-30 17:31:39,942] [WARNING] [root] 44828 entries are missing rank class, but have genus label.\n", + "[2023-10-30 17:31:40,199] [WARNING] [root] 42771 entries are missing rank order, but have genus label.\n", + "[2023-10-30 17:31:40,456] [WARNING] [root] 40131 entries are missing rank family, but have genus label.\n", + "[2023-10-30 17:31:40,733] [WARNING] [root] 232 entries are missing rank kingdom, but have family label.\n", + "[2023-10-30 17:31:40,759] [WARNING] [root] 223 entries are missing rank phylum, but have family label.\n", + "[2023-10-30 17:31:40,785] [WARNING] [root] 493 entries are missing rank class, but have family label.\n", + "[2023-10-30 17:31:40,812] [WARNING] [root] 345 entries are missing rank order, but have family label.\n", + "[2023-10-30 17:31:40,853] [WARNING] [root] 170 entries are missing rank kingdom, but have order label.\n", + "[2023-10-30 17:31:40,854] [WARNING] [root] 105 entries are missing rank phylum, but have order label.\n", + "[2023-10-30 17:31:40,855] [WARNING] [root] 1263 entries are missing rank class, but have order label.\n", + "[2023-10-30 17:31:40,893] [WARNING] [root] 41 entries have kingdom and species labels but no genus.\n", + "[2023-10-30 17:31:40,897] [WARNING] [root] 41 entries have phylum and species labels but no genus.\n", + "[2023-10-30 17:31:40,901] [WARNING] [root] 41 entries have class and species labels but no genus.\n", + "[2023-10-30 17:31:40,905] [WARNING] [root] 41 entries have order and species labels but no genus.\n", + "[2023-10-30 17:31:40,908] [WARNING] [root] 41 entries have family and species labels but no genus.\n", + "[2023-10-30 17:31:42,311] [WARNING] [root] There are 137661 samples with species label longer than one word.\n", "```" ] }, @@ -516,12 +653,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Can we get some more information on those 41 entries that are still missing genus?" + "Can we get some more information on those 41 entries that are still missing genus? (should be same as before)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -537,7 +674,7 @@ "dtype: int64" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -557,7 +694,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -566,13 +703,13 @@ "text": [ "The taxa missing genus are: \n", "kingdom : ['Animalia']\n", - "phylum : ['Chordata' 'Arthropoda']\n", - "class : ['Amphibia' 'Insecta']\n", - "order : ['Anura' 'Hymenoptera']\n", - "family : ['Centrolenidae' 'Halictidae' 'Dendrobatidae' 'Craugastoridae' 'Ranidae']\n", + "phylum : ['Arthropoda' 'Chordata']\n", + "class : ['Insecta' 'Amphibia']\n", + "order : ['Hymenoptera' 'Anura']\n", + "family : ['Halictidae' 'Dendrobatidae' 'Centrolenidae' 'Craugastoridae' 'Ranidae']\n", "genus : [nan]\n", - "species : ['quindianum' 'carinata' 'placatus' 'ruthveni' 'azulae' 'robledoi'\n", - " 'bilineatus' 'celebensis']\n" + "species : ['carinata' 'ruthveni' 'quindianum' 'bilineatus' 'placatus' 'azulae'\n", + " 'robledoi' 'celebensis']\n" ] } ], @@ -586,7 +723,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\"celebensis\" is new, but next iteration should resolve these." + "All the same as last time, will stay." ] }, { @@ -598,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -610,7 +747,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -619,7 +756,7 @@ "array(['EOL'], dtype=object)" ] }, - "execution_count": 18, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -635,7 +772,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Missing genus with all other taxa occurs only in EOL now, so should get fixed." + "Missing genus with all other taxa occurs only in EOL still. It's what it is for this version." ] }, { @@ -647,16 +784,16 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "440892" + "439910" ] }, - "execution_count": 19, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -667,7 +804,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -676,7 +813,7 @@ "9947" ] }, - "execution_count": 20, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -687,7 +824,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -696,7 +833,7 @@ "7758" ] }, - "execution_count": 21, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -711,9 +848,9 @@ "source": [ "iNat's number of unique values in `common` is still up by 6 from the original --- probably pulled from ITIS instead and that has more listed?\n", "\n", - "EOL's went back up a bit, though still about 70-80K less than the original version.\n", + "EOL's went back down, it's about 80K less than the original version.\n", "\n", - "BIOSCAN's counts went down even more..." + "BIOSCAN's counts stabilized." ] }, { @@ -725,7 +862,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -736,7 +873,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -773,86 +910,86 @@ " \n", " \n", " \n", - " 956230\n", + " 956203\n", " iNat21\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Asterales\n", - " Asteraceae\n", - " Solidago\n", - " rigida\n", - " stiff-leaved goldenrod\n", + " Apiales\n", + " Araliaceae\n", + " Hydrocotyle\n", + " bonariensis\n", + " largeleaf pennywort\n", " \n", " \n", - " 956231\n", + " 956204\n", " iNat21\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Asterales\n", - " Asteraceae\n", - " Solidago\n", - " rigida\n", - " stiff-leaved goldenrod\n", + " Apiales\n", + " Araliaceae\n", + " Hydrocotyle\n", + " bonariensis\n", + " largeleaf pennywort\n", " \n", " \n", - " 956232\n", + " 956205\n", " iNat21\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Asterales\n", - " Asteraceae\n", - " Solidago\n", - " rigida\n", - " stiff-leaved goldenrod\n", + " Apiales\n", + " Araliaceae\n", + " Hydrocotyle\n", + " bonariensis\n", + " largeleaf pennywort\n", " \n", " \n", - " 956233\n", + " 956206\n", " iNat21\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Asterales\n", - " Asteraceae\n", - " Solidago\n", - " rigida\n", - " stiff-leaved goldenrod\n", + " Apiales\n", + " Araliaceae\n", + " Hydrocotyle\n", + " bonariensis\n", + " largeleaf pennywort\n", " \n", " \n", - " 956234\n", + " 956207\n", " iNat21\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Asterales\n", - " Asteraceae\n", - " Solidago\n", - " rigida\n", - " stiff-leaved goldenrod\n", + " Apiales\n", + " Araliaceae\n", + " Hydrocotyle\n", + " bonariensis\n", + " largeleaf pennywort\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order \n", - "956230 iNat21 Plantae Tracheophyta Magnoliopsida Asterales \\\n", - "956231 iNat21 Plantae Tracheophyta Magnoliopsida Asterales \n", - "956232 iNat21 Plantae Tracheophyta Magnoliopsida Asterales \n", - "956233 iNat21 Plantae Tracheophyta Magnoliopsida Asterales \n", - "956234 iNat21 Plantae Tracheophyta Magnoliopsida Asterales \n", + " data_source kingdom phylum class order family \n", + "956203 iNat21 Plantae Tracheophyta Magnoliopsida Apiales Araliaceae \\\n", + "956204 iNat21 Plantae Tracheophyta Magnoliopsida Apiales Araliaceae \n", + "956205 iNat21 Plantae Tracheophyta Magnoliopsida Apiales Araliaceae \n", + "956206 iNat21 Plantae Tracheophyta Magnoliopsida Apiales Araliaceae \n", + "956207 iNat21 Plantae Tracheophyta Magnoliopsida Apiales Araliaceae \n", "\n", - " family genus species common \n", - "956230 Asteraceae Solidago rigida stiff-leaved goldenrod \n", - "956231 Asteraceae Solidago rigida stiff-leaved goldenrod \n", - "956232 Asteraceae Solidago rigida stiff-leaved goldenrod \n", - "956233 Asteraceae Solidago rigida stiff-leaved goldenrod \n", - "956234 Asteraceae Solidago rigida stiff-leaved goldenrod " + " genus species common \n", + "956203 Hydrocotyle bonariensis largeleaf pennywort \n", + "956204 Hydrocotyle bonariensis largeleaf pennywort \n", + "956205 Hydrocotyle bonariensis largeleaf pennywort \n", + "956206 Hydrocotyle bonariensis largeleaf pennywort \n", + "956207 Hydrocotyle bonariensis largeleaf pennywort " ] }, - "execution_count": 23, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -870,7 +1007,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -888,7 +1025,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -896,7 +1033,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 2686843 entries, 956230 to 11022074\n", + "Index: 2686843 entries, 956203 to 11021778\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -929,7 +1066,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -947,7 +1084,7 @@ "dtype: int64" ] }, - "execution_count": 26, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -965,7 +1102,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -978,7 +1115,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 27, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -996,14 +1133,14 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_90984/2358816078.py:2: SettingWithCopyWarning: \n", + "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_21438/2358816078.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", @@ -1020,7 +1157,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1028,7 +1165,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 10000 entries, 956230 to 10447607\n", + "Index: 10000 entries, 956203 to 10468549\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1067,7 +1204,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1075,7 +1212,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 1128313 entries, 1250748 to 10996892\n", + "Index: 1128313 entries, 1236594 to 11004777\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1108,7 +1245,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1118,7 +1255,7 @@ "kingdom 1\n", "phylum 1\n", "class 1\n", - "order 19\n", + "order 20\n", "family 494\n", "genus 3444\n", "species 4095\n", @@ -1126,7 +1263,7 @@ "dtype: int64" ] }, - "execution_count": 31, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1139,12 +1276,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We have half as many unique species and 3,000 less unique common names as in the original. Can this be accounted for by the adjustment in genus?" + "We have half as many unique species and 3,000 less unique common names as in the original. Can this be accounted for by the adjustment in genus?\n", + "\n", + "We now seem to have gained an order over the last iteration--that would be the name resolver I guess." ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1155,7 +1294,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 32, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1180,7 +1319,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1188,7 +1327,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 254158 entries, 1250748 to 10996889\n", + "Index: 254158 entries, 1236595 to 11004777\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1212,7 +1351,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1249,123 +1388,114 @@ " \n", " \n", " \n", - " 2017833\n", + " 7967964\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Phoridae\n", - " Coniceromyia\n", + " Sphaeroceridae\n", + " Archiceroptera\n", " NaN\n", - " Coniceromyia\n", + " Archiceroptera\n", " \n", " \n", - " 10597769\n", + " 5406348\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Psocodea\n", - " Peripsocidae\n", - " Peripsocus\n", + " Diptera\n", + " Phoridae\n", + " Megaselia\n", " NaN\n", - " Peripsocus\n", + " Megaselia\n", " \n", " \n", - " 6533871\n", + " 10214934\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Chironomidae\n", - " Limnophyes\n", - " pentaplastus\n", - " Limnophyes pentaplastus\n", + " Sphaeroceridae\n", + " Bifronsina\n", + " bifrons\n", + " Bifronsina bifrons\n", " \n", " \n", - " 6676160\n", + " 6735711\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Psocodea\n", - " Caeciliusidae\n", - " Caecilius\n", - " NaN\n", - " Caecilius\n", + " Diptera\n", + " Phoridae\n", + " Megaselia\n", + " artborkenti\n", + " Megaselia artborkenti\n", " \n", " \n", - " 4184393\n", + " 5608577\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Hymenoptera\n", - " Eulophidae\n", - " Eulophmalaise01\n", - " malaise\n", - " Eulophmalaise01 malaise\n", + " Diptera\n", + " Sciaridae\n", + " Corynoptera\n", + " NaN\n", + " Corynoptera\n", " \n", " \n", - " 5653281\n", + " 10606490\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Lepidoptera\n", - " Gelechiidae\n", - " Aristotelia\n", - " biolep\n", - " Aristotelia biolep\n", + " Diptera\n", + " Phoridae\n", + " Chonocephalus\n", + " NaN\n", + " Chonocephalus\n", " \n", " \n", - " 3933387\n", + " 7945455\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Psychodidae\n", - " Lutzomyia\n", - " ovallesi\n", - " Lutzomyia ovallesi\n", + " Drosophilidae\n", + " Hirtodrosophila\n", + " thoracis\n", + " Hirtodrosophila thoracis\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order \n", - "2017833 BIOSCAN Animalia Arthropoda Insecta Diptera \\\n", - "10597769 BIOSCAN Animalia Arthropoda Insecta Psocodea \n", - "6533871 BIOSCAN Animalia Arthropoda Insecta Diptera \n", - "6676160 BIOSCAN Animalia Arthropoda Insecta Psocodea \n", - "4184393 BIOSCAN Animalia Arthropoda Insecta Hymenoptera \n", - "5653281 BIOSCAN Animalia Arthropoda Insecta Lepidoptera \n", - "3933387 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + " data_source kingdom phylum class order family \n", + "7967964 BIOSCAN Animalia Arthropoda Insecta Diptera Sphaeroceridae \\\n", + "5406348 BIOSCAN Animalia Arthropoda Insecta Diptera Phoridae \n", + "10214934 BIOSCAN Animalia Arthropoda Insecta Diptera Sphaeroceridae \n", + "6735711 BIOSCAN Animalia Arthropoda Insecta Diptera Phoridae \n", + "5608577 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", + "10606490 BIOSCAN Animalia Arthropoda Insecta Diptera Phoridae \n", + "7945455 BIOSCAN Animalia Arthropoda Insecta Diptera Drosophilidae \n", "\n", - " family genus species \n", - "2017833 Phoridae Coniceromyia NaN \\\n", - "10597769 Peripsocidae Peripsocus NaN \n", - "6533871 Chironomidae Limnophyes pentaplastus \n", - "6676160 Caeciliusidae Caecilius NaN \n", - "4184393 Eulophidae Eulophmalaise01 malaise \n", - "5653281 Gelechiidae Aristotelia biolep \n", - "3933387 Psychodidae Lutzomyia ovallesi \n", - "\n", - " common \n", - "2017833 Coniceromyia \n", - "10597769 Peripsocus \n", - "6533871 Limnophyes pentaplastus \n", - "6676160 Caecilius \n", - "4184393 Eulophmalaise01 malaise \n", - "5653281 Aristotelia biolep \n", - "3933387 Lutzomyia ovallesi " + " genus species common \n", + "7967964 Archiceroptera NaN Archiceroptera \n", + "5406348 Megaselia NaN Megaselia \n", + "10214934 Bifronsina bifrons Bifronsina bifrons \n", + "6735711 Megaselia artborkenti Megaselia artborkenti \n", + "5608577 Corynoptera NaN Corynoptera \n", + "10606490 Chonocephalus NaN Chonocephalus \n", + "7945455 Hirtodrosophila thoracis Hirtodrosophila thoracis " ] }, - "execution_count": 34, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1383,7 +1513,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1420,19 +1550,19 @@ " \n", " \n", " \n", - " 2828691\n", + " 5193833\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Ceratopogonidae\n", + " Cecidomyiidae\n", " NaN\n", " NaN\n", - " Animalia Arthropoda Insecta Diptera Ceratopogo...\n", + " Animalia Arthropoda Insecta Diptera Cecidomyiidae\n", " \n", " \n", - " 8619691\n", + " 2517451\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", @@ -1444,99 +1574,90 @@ " Animalia Arthropoda Insecta Diptera Cecidomyiidae\n", " \n", " \n", - " 10352035\n", + " 2240612\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Lepidoptera\n", - " Tineidae\n", + " Diptera\n", + " Cecidomyiidae\n", " NaN\n", " NaN\n", - " Animalia Arthropoda Insecta Lepidoptera Tineidae\n", + " Animalia Arthropoda Insecta Diptera Cecidomyiidae\n", " \n", " \n", - " 7670646\n", + " 9572514\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Diptera\n", - " Cecidomyiidae\n", + " Psocodea\n", + " Lepidopsocidae\n", " NaN\n", " NaN\n", - " Animalia Arthropoda Insecta Diptera Cecidomyiidae\n", + " Animalia Arthropoda Insecta Psocodea Lepidopso...\n", " \n", " \n", - " 9934447\n", + " 6862358\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Tephritidae\n", + " Cecidomyiidae\n", " NaN\n", " NaN\n", - " Animalia Arthropoda Insecta Diptera Tephritidae\n", + " Animalia Arthropoda Insecta Diptera Cecidomyiidae\n", " \n", " \n", - " 7501355\n", + " 2195731\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Lepidoptera\n", - " NaN\n", + " Diptera\n", + " Psychodidae\n", " NaN\n", " NaN\n", - " Animalia Arthropoda Insecta Lepidoptera\n", + " Animalia Arthropoda Insecta Diptera Psychodidae\n", " \n", " \n", - " 6477512\n", + " 1396265\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Bombyliidae\n", + " Psychodidae\n", " NaN\n", " NaN\n", - " Animalia Arthropoda Insecta Diptera Bombyliidae\n", + " Animalia Arthropoda Insecta Diptera Psychodidae\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order \n", - "2828691 BIOSCAN Animalia Arthropoda Insecta Diptera \\\n", - "8619691 BIOSCAN Animalia Arthropoda Insecta Diptera \n", - "10352035 BIOSCAN Animalia Arthropoda Insecta Lepidoptera \n", - "7670646 BIOSCAN Animalia Arthropoda Insecta Diptera \n", - "9934447 BIOSCAN Animalia Arthropoda Insecta Diptera \n", - "7501355 BIOSCAN Animalia Arthropoda Insecta Lepidoptera \n", - "6477512 BIOSCAN Animalia Arthropoda Insecta Diptera \n", - "\n", - " family genus species \n", - "2828691 Ceratopogonidae NaN NaN \\\n", - "8619691 Cecidomyiidae NaN NaN \n", - "10352035 Tineidae NaN NaN \n", - "7670646 Cecidomyiidae NaN NaN \n", - "9934447 Tephritidae NaN NaN \n", - "7501355 NaN NaN NaN \n", - "6477512 Bombyliidae NaN NaN \n", + " data_source kingdom phylum class order family \n", + "5193833 BIOSCAN Animalia Arthropoda Insecta Diptera Cecidomyiidae \\\n", + "2517451 BIOSCAN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "2240612 BIOSCAN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "9572514 BIOSCAN Animalia Arthropoda Insecta Psocodea Lepidopsocidae \n", + "6862358 BIOSCAN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "2195731 BIOSCAN Animalia Arthropoda Insecta Diptera Psychodidae \n", + "1396265 BIOSCAN Animalia Arthropoda Insecta Diptera Psychodidae \n", "\n", - " common \n", - "2828691 Animalia Arthropoda Insecta Diptera Ceratopogo... \n", - "8619691 Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", - "10352035 Animalia Arthropoda Insecta Lepidoptera Tineidae \n", - "7670646 Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", - "9934447 Animalia Arthropoda Insecta Diptera Tephritidae \n", - "7501355 Animalia Arthropoda Insecta Lepidoptera \n", - "6477512 Animalia Arthropoda Insecta Diptera Bombyliidae " + " genus species common \n", + "5193833 NaN NaN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "2517451 NaN NaN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "2240612 NaN NaN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "9572514 NaN NaN Animalia Arthropoda Insecta Psocodea Lepidopso... \n", + "6862358 NaN NaN Animalia Arthropoda Insecta Diptera Cecidomyiidae \n", + "2195731 NaN NaN Animalia Arthropoda Insecta Diptera Psychodidae \n", + "1396265 NaN NaN Animalia Arthropoda Insecta Diptera Psychodidae " ] }, - "execution_count": 35, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1554,14 +1675,14 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_90984/2375049309.py:2: SettingWithCopyWarning: \n", + "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_21438/2375049309.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", @@ -1578,7 +1699,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1586,7 +1707,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 7831 entries, 1250748 to 10992773\n", + "Index: 7831 entries, 1236594 to 11000629\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1625,7 +1746,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1633,7 +1754,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 84447 entries, 1250748 to 10996872\n", + "Index: 84447 entries, 1236604 to 11004752\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1676,7 +1797,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -1709,14 +1830,14 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_90984/2529943378.py:16: SettingWithCopyWarning: \n", + "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_21438/2529943378.py:16: 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", @@ -1731,7 +1852,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1739,7 +1860,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 1128313 entries, 1250748 to 10996892\n", + "Index: 1128313 entries, 1236594 to 11004777\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1765,7 +1886,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1773,7 +1894,7 @@ "output_type": "stream", "text": [ "\n", - "Index: 3756 entries, 1250949 to 10996636\n", + "Index: 3756 entries, 1236698 to 11004752\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1802,12 +1923,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Not all species indicated have length greater than 1 now, though this number has actually gone up by 140 since the last iteration." + "Not all species indicated have length greater than 1 now, consistent with the last iteration." ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1821,7 +1942,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 43, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1839,7 +1960,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1878,63 +1999,63 @@ " \n", " \n", " \n", - " 6638941\n", + " 7615004\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Hemiptera\n", - " Cicadellidae\n", - " Ladoffa\n", - " cf. sannionis\n", - " Ladoffa cf. sannionis\n", + " Diptera\n", + " Psychodidae\n", + " Psychoda\n", + " sp. 11gmk\n", + " Psychoda sp. 11gmk\n", " True\n", " 2\n", " \n", " \n", - " 8921010\n", + " 4577722\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Chironomidae\n", - " Allocladius\n", - " sp. 1es\n", - " Allocladius sp. 1es\n", + " Simuliidae\n", + " Simulium\n", + " arcticum complex\n", + " Simulium arcticum complex\n", " True\n", " 2\n", " \n", " \n", - " 2234877\n", + " 2715700\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Psychodidae\n", - " Psychoda\n", - " sp. 11gmk\n", - " Psychoda sp. 11gmk\n", + " Clusiidae\n", + " Sobarocephala\n", + " sp. 1 ol-\n", + " Sobarocephala sp. 1 ol-\n", " True\n", - " 2\n", + " 3\n", " \n", " \n", - " 5575490\n", + " 2746611\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Coleoptera\n", - " Chrysomelidae\n", - " Chryssa\n", - " sp. 55\n", - " Chryssa sp. 55\n", + " Diptera\n", + " Chironomidae\n", + " Allocladius\n", + " sp. 1es\n", + " Allocladius sp. 1es\n", " True\n", " 2\n", " \n", " \n", - " 5996519\n", + " 2289746\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", @@ -1948,67 +2069,76 @@ " 2\n", " \n", " \n", - " 8253727\n", + " 2674678\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Diptera\n", - " Simuliidae\n", - " Simulium\n", - " arcticum complex\n", - " Simulium arcticum complex\n", + " Lepidoptera\n", + " Gracillariidae\n", + " Malaisegraci01 malaise4560\n", + " malaisegraci01 malaise\n", + " Malaisegraci01 malaise4560 malaisegraci01 malaise\n", " True\n", " 2\n", " \n", " \n", - " 6281701\n", + " 1363223\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Psychodidae\n", - " Psychoda\n", - " sp. 11gmk\n", - " Psychoda sp. 11gmk\n", - " True\n", - " 2\n", + " Empididae\n", + " Porphyrochroa\n", + " sp. 10 bkc-\n", + " Porphyrochroa sp. 10 bkc-\n", + " False\n", + " 3\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order family \n", - "6638941 BIOSCAN Animalia Arthropoda Insecta Hemiptera Cicadellidae \\\n", - "8921010 BIOSCAN Animalia Arthropoda Insecta Diptera Chironomidae \n", - "2234877 BIOSCAN Animalia Arthropoda Insecta Diptera Psychodidae \n", - "5575490 BIOSCAN Animalia Arthropoda Insecta Coleoptera Chrysomelidae \n", - "5996519 BIOSCAN Animalia Arthropoda Insecta Diptera Psychodidae \n", - "8253727 BIOSCAN Animalia Arthropoda Insecta Diptera Simuliidae \n", - "6281701 BIOSCAN Animalia Arthropoda Insecta Diptera Psychodidae \n", + " data_source kingdom phylum class order \n", + "7615004 BIOSCAN Animalia Arthropoda Insecta Diptera \\\n", + "4577722 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "2715700 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "2746611 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "2289746 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "2674678 BIOSCAN Animalia Arthropoda Insecta Lepidoptera \n", + "1363223 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "\n", + " family genus species \n", + "7615004 Psychodidae Psychoda sp. 11gmk \\\n", + "4577722 Simuliidae Simulium arcticum complex \n", + "2715700 Clusiidae Sobarocephala sp. 1 ol- \n", + "2746611 Chironomidae Allocladius sp. 1es \n", + "2289746 Psychodidae Psychoda sp. 11gmk \n", + "2674678 Gracillariidae Malaisegraci01 malaise4560 malaisegraci01 malaise \n", + "1363223 Empididae Porphyrochroa sp. 10 bkc- \n", "\n", - " genus species common duplicate \n", - "6638941 Ladoffa cf. sannionis Ladoffa cf. sannionis True \\\n", - "8921010 Allocladius sp. 1es Allocladius sp. 1es True \n", - "2234877 Psychoda sp. 11gmk Psychoda sp. 11gmk True \n", - "5575490 Chryssa sp. 55 Chryssa sp. 55 True \n", - "5996519 Psychoda sp. 11gmk Psychoda sp. 11gmk True \n", - "8253727 Simulium arcticum complex Simulium arcticum complex True \n", - "6281701 Psychoda sp. 11gmk Psychoda sp. 11gmk True \n", + " common duplicate \n", + "7615004 Psychoda sp. 11gmk True \\\n", + "4577722 Simulium arcticum complex True \n", + "2715700 Sobarocephala sp. 1 ol- True \n", + "2746611 Allocladius sp. 1es True \n", + "2289746 Psychoda sp. 11gmk True \n", + "2674678 Malaisegraci01 malaise4560 malaisegraci01 malaise True \n", + "1363223 Porphyrochroa sp. 10 bkc- False \n", "\n", " len_species \n", - "6638941 2 \n", - "8921010 2 \n", - "2234877 2 \n", - "5575490 2 \n", - "5996519 2 \n", - "8253727 2 \n", - "6281701 2 " + "7615004 2 \n", + "4577722 2 \n", + "2715700 3 \n", + "2746611 2 \n", + "2289746 2 \n", + "2674678 2 \n", + "1363223 3 " ] }, - "execution_count": 44, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -2026,7 +2156,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -2065,35 +2195,35 @@ " \n", " \n", " \n", - " 7525562\n", + " 10594081\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", " Drosophilidae\n", - " Mycodrosophila\n", - " projectans affinis 2\n", - " Mycodrosophila projectans affinis 2\n", + " Hirtodrosophila\n", + " subflavohalterata affinis 3\n", + " Hirtodrosophila subflavohalterata affinis 3\n", " True\n", " 3\n", " \n", " \n", - " 5454948\n", + " 4255998\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Empididae\n", - " Porphyrochroa\n", - " sp. 6 bkc-\n", - " Porphyrochroa sp. 6 bkc-\n", + " Drosophilidae\n", + " Hirtodrosophila\n", + " subflavohalterata affinis 4\n", + " Hirtodrosophila subflavohalterata affinis 4\n", " True\n", " 3\n", " \n", " \n", - " 2006286\n", + " 2168884\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", @@ -2107,7 +2237,7 @@ " 3\n", " \n", " \n", - " 1299754\n", + " 5676185\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", @@ -2117,25 +2247,25 @@ " Cosmosciara\n", " sp. saevg morph\n", " Cosmosciara sp. saevg morph\n", - " False\n", + " True\n", " 3\n", " \n", " \n", - " 7595135\n", + " 3184356\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Sciaridae\n", - " Cosmosciara\n", - " sp. saevg morph\n", - " Cosmosciara sp. saevg morph\n", + " Drosophilidae\n", + " Mycodrosophila\n", + " projectans affinis 2\n", + " Mycodrosophila projectans affinis 2\n", " True\n", " 3\n", " \n", " \n", - " 3850263\n", + " 3793927\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", @@ -2149,58 +2279,58 @@ " 3\n", " \n", " \n", - " 10366847\n", + " 10076940\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Sciaridae\n", - " Cosmosciara\n", - " sp. saevg morph\n", - " Cosmosciara sp. saevg morph\n", + " Empididae\n", + " Porphyrochroa\n", + " sp. 6 bkc-\n", + " Porphyrochroa sp. 6 bkc-\n", " True\n", " 3\n", " \n", " \n", - " 6253262\n", + " 10599992\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", - " Diptera\n", - " Drosophilidae\n", - " Hirtodrosophila\n", - " subflavohalterata affinis 4\n", - " Hirtodrosophila subflavohalterata affinis 4\n", - " True\n", + " Hymenoptera\n", + " Figitidae\n", + " Ganaspis\n", + " sp. 1 tas-212\n", + " Ganaspis sp. 1 tas-212\n", + " False\n", " 3\n", " \n", " \n", - " 4624702\n", + " 8574275\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Empididae\n", - " Porphyrochroa\n", - " sp. 6 bkc-\n", - " Porphyrochroa sp. 6 bkc-\n", + " Sciaridae\n", + " Cosmosciara\n", + " sp. saevg morph\n", + " Cosmosciara sp. saevg morph\n", " True\n", " 3\n", " \n", " \n", - " 6143519\n", + " 4853303\n", " BIOSCAN\n", " Animalia\n", " Arthropoda\n", " Insecta\n", " Diptera\n", - " Sciaridae\n", - " Cosmosciara\n", - " sp. saevg morph\n", - " Cosmosciara sp. saevg morph\n", + " Empididae\n", + " Porphyrochroa\n", + " sp. 6 bkc-\n", + " Porphyrochroa sp. 6 bkc-\n", " True\n", " 3\n", " \n", @@ -2209,44 +2339,44 @@ "" ], "text/plain": [ - " data_source kingdom phylum class order family \n", - "7525562 BIOSCAN Animalia Arthropoda Insecta Diptera Drosophilidae \\\n", - "5454948 BIOSCAN Animalia Arthropoda Insecta Diptera Empididae \n", - "2006286 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", - "1299754 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", - "7595135 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", - "3850263 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", - "10366847 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", - "6253262 BIOSCAN Animalia Arthropoda Insecta Diptera Drosophilidae \n", - "4624702 BIOSCAN Animalia Arthropoda Insecta Diptera Empididae \n", - "6143519 BIOSCAN Animalia Arthropoda Insecta Diptera Sciaridae \n", + " data_source kingdom phylum class order \n", + "10594081 BIOSCAN Animalia Arthropoda Insecta Diptera \\\n", + "4255998 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "2168884 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "5676185 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "3184356 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "3793927 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "10076940 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "10599992 BIOSCAN Animalia Arthropoda Insecta Hymenoptera \n", + "8574275 BIOSCAN Animalia Arthropoda Insecta Diptera \n", + "4853303 BIOSCAN Animalia Arthropoda Insecta Diptera \n", "\n", - " genus species \n", - "7525562 Mycodrosophila projectans affinis 2 \\\n", - "5454948 Porphyrochroa sp. 6 bkc- \n", - "2006286 Cosmosciara sp. saevg morph \n", - "1299754 Cosmosciara sp. saevg morph \n", - "7595135 Cosmosciara sp. saevg morph \n", - "3850263 Cosmosciara sp. saevg morph \n", - "10366847 Cosmosciara sp. saevg morph \n", - "6253262 Hirtodrosophila subflavohalterata affinis 4 \n", - "4624702 Porphyrochroa sp. 6 bkc- \n", - "6143519 Cosmosciara sp. saevg morph \n", + " family genus species \n", + "10594081 Drosophilidae Hirtodrosophila subflavohalterata affinis 3 \\\n", + "4255998 Drosophilidae Hirtodrosophila subflavohalterata affinis 4 \n", + "2168884 Sciaridae Cosmosciara sp. saevg morph \n", + "5676185 Sciaridae Cosmosciara sp. saevg morph \n", + "3184356 Drosophilidae Mycodrosophila projectans affinis 2 \n", + "3793927 Sciaridae Cosmosciara sp. saevg morph \n", + "10076940 Empididae Porphyrochroa sp. 6 bkc- \n", + "10599992 Figitidae Ganaspis sp. 1 tas-212 \n", + "8574275 Sciaridae Cosmosciara sp. saevg morph \n", + "4853303 Empididae Porphyrochroa sp. 6 bkc- \n", "\n", " common duplicate len_species \n", - "7525562 Mycodrosophila projectans affinis 2 True 3 \n", - "5454948 Porphyrochroa sp. 6 bkc- True 3 \n", - "2006286 Cosmosciara sp. saevg morph True 3 \n", - "1299754 Cosmosciara sp. saevg morph False 3 \n", - "7595135 Cosmosciara sp. saevg morph True 3 \n", - "3850263 Cosmosciara sp. saevg morph True 3 \n", - "10366847 Cosmosciara sp. saevg morph True 3 \n", - "6253262 Hirtodrosophila subflavohalterata affinis 4 True 3 \n", - "4624702 Porphyrochroa sp. 6 bkc- True 3 \n", - "6143519 Cosmosciara sp. saevg morph True 3 " + "10594081 Hirtodrosophila subflavohalterata affinis 3 True 3 \n", + "4255998 Hirtodrosophila subflavohalterata affinis 4 True 3 \n", + "2168884 Cosmosciara sp. saevg morph True 3 \n", + "5676185 Cosmosciara sp. saevg morph True 3 \n", + "3184356 Mycodrosophila projectans affinis 2 True 3 \n", + "3793927 Cosmosciara sp. saevg morph True 3 \n", + "10076940 Porphyrochroa sp. 6 bkc- True 3 \n", + "10599992 Ganaspis sp. 1 tas-212 False 3 \n", + "8574275 Cosmosciara sp. saevg morph True 3 \n", + "4853303 Porphyrochroa sp. 6 bkc- True 3 " ] }, - "execution_count": 45, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -2278,7 +2408,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -2286,19 +2416,19 @@ "output_type": "stream", "text": [ "\n", - "Index: 6250689 entries, 957254 to 10998645\n", + "Index: 6250420 entries, 956715 to 11000930\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 data_source 6250689 non-null object\n", - " 1 kingdom 5868540 non-null object\n", - " 2 phylum 5878322 non-null object\n", - " 3 class 5854358 non-null object\n", - " 4 order 5851858 non-null object\n", - " 5 family 5835842 non-null object\n", - " 6 genus 5940575 non-null object\n", - " 7 species 5951882 non-null object\n", - " 8 common 6250689 non-null object\n", + " 0 data_source 6250420 non-null object\n", + " 1 kingdom 5989611 non-null object\n", + " 2 phylum 5991207 non-null object\n", + " 3 class 5971438 non-null object\n", + " 4 order 5965299 non-null object\n", + " 5 family 5948728 non-null object\n", + " 6 genus 5940313 non-null object\n", + " 7 species 5951613 non-null object\n", + " 8 common 6250420 non-null object\n", "dtypes: object(9)\n", "memory usage: 476.9+ MB\n" ] @@ -2310,25 +2440,25 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "data_source 1\n", - "kingdom 7\n", - "phylum 90\n", - "class 280\n", - "order 1321\n", - "family 7735\n", + "kingdom 12\n", + "phylum 108\n", + "class 344\n", + "order 1489\n", + "family 7924\n", "genus 73065\n", - "species 163378\n", - "common 440892\n", + "species 162191\n", + "common 439910\n", "dtype: int64" ] }, - "execution_count": 47, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -2337,27 +2467,34 @@ "eol_df.nunique()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`kingdom` through `family` gained new unique labels and greater coverage, while `genus` lost images, but did not lose representation (still the same number of unique genera). Both the number of `species` and `common` went down along with the number of unique such labels." + ] + }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "data_source 1\n", - "kingdom 7\n", - "phylum 88\n", - "class 259\n", - "order 1149\n", + "kingdom 11\n", + "phylum 99\n", + "class 297\n", + "order 1203\n", "family 5926\n", "genus 34501\n", "species 0\n", - "common 39233\n", + "common 39232\n", "dtype: int64" ] }, - "execution_count": 48, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -2370,31 +2507,36 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There are 503,595 unique page IDs from EOL in this dataset, which clearly represent varying levels of taxa. \n", + "There are 503,589 unique page IDs from EOL in this dataset, which clearly represent varying levels of taxa. \n", "\n", - "Unique species + unique common where species is null (39,233) does not reach this number. But we have added SO many more phyla through family!" + "Unique species + unique common where species is null (39,232) does not reach this number. But we still added more phyla through family!" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "kingdom\n", - "Animalia 3410638\n", - "Plantae 2172010\n", - "Fungi 265636\n", - "Protozoa 10924\n", - "Chromista 6443\n", - "Bacteria 2864\n", - "Archaea 25\n", + "Animalia 3494400\n", + "Plantae 2190669\n", + "Fungi 269505\n", + "Chromista 15227\n", + "Protozoa 13755\n", + "Bacteria 3309\n", + "Viridiplantae 1960\n", + "Protista 422\n", + "Orthornavirae 289\n", + "Bamfordvirae 41\n", + "Archaea 25\n", + "Shotokuvirae 9\n", "Name: count, dtype: int64" ] }, - "execution_count": 49, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -2409,19 +2551,19 @@ "source": [ "We have much greater kingdom variety here.\n", "\n", - "We have already observed that not all ranks are filled in at the higher levels, sometimes having just one gap. This has been greatly improved from the first iteration and we'll get one more pass." + "We have already observed that not all ranks are filled in at the higher levels, sometimes having just one gap. This has been greatly improved from the first iteration and again with this last one." ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_90984/52183210.py:2: SettingWithCopyWarning: \n", + "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_21438/52183210.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", @@ -2438,7 +2580,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -2446,22 +2588,22 @@ "output_type": "stream", "text": [ "\n", - "Index: 449882 entries, 957254 to 10998610\n", + "Index: 448910 entries, 956715 to 11000902\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 data_source 449882 non-null object\n", - " 1 kingdom 399987 non-null object\n", - " 2 phylum 403692 non-null object\n", - " 3 class 402236 non-null object\n", - " 4 order 403031 non-null object\n", - " 5 family 403098 non-null object\n", - " 6 genus 423277 non-null object\n", - " 7 species 410316 non-null object\n", - " 8 common 449882 non-null object\n", - " 9 duplicate 449882 non-null bool \n", + " 0 data_source 448910 non-null object\n", + " 1 kingdom 419756 non-null object\n", + " 2 phylum 420219 non-null object\n", + " 3 class 419103 non-null object\n", + " 4 order 419449 non-null object\n", + " 5 family 419320 non-null object\n", + " 6 genus 422307 non-null object\n", + " 7 species 409345 non-null object\n", + " 8 common 448910 non-null object\n", + " 9 duplicate 448910 non-null bool \n", "dtypes: bool(1), object(9)\n", - "memory usage: 34.8+ MB\n" + "memory usage: 34.7+ MB\n" ] } ], @@ -2480,7 +2622,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -2488,22 +2630,22 @@ "output_type": "stream", "text": [ "\n", - "Index: 5951882 entries, 957254 to 10998645\n", + "Index: 5951613 entries, 956715 to 11000930\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 data_source 5951882 non-null object\n", - " 1 kingdom 5572904 non-null object\n", - " 2 phylum 5581161 non-null object\n", - " 3 class 5571860 non-null object\n", - " 4 order 5576429 non-null object\n", - " 5 family 5578918 non-null object\n", - " 6 genus 5731404 non-null object\n", - " 7 species 5951882 non-null object\n", - " 8 common 5951882 non-null object\n", - " 9 duplicate 5951882 non-null bool \n", + " 0 data_source 5951613 non-null object\n", + " 1 kingdom 5692502 non-null object\n", + " 2 phylum 5693332 non-null object\n", + " 3 class 5687771 non-null object\n", + " 4 order 5689497 non-null object\n", + " 5 family 5691804 non-null object\n", + " 6 genus 5731142 non-null object\n", + " 7 species 5951613 non-null object\n", + " 8 common 5951613 non-null object\n", + " 9 duplicate 5951613 non-null bool \n", "dtypes: bool(1), object(9)\n", - "memory usage: 459.8+ MB\n" + "memory usage: 459.7+ MB\n" ] } ], @@ -2517,7 +2659,7 @@ "source": [ "Not all labeled species have higher order taxa, but they do all have `common` (likely because if there is no common name, it pulls scientific name (genus-species)).\n", "\n", - "This will hopefully be filled with the next iteration." + "Still a 200-300K difference." ] }, { @@ -2529,7 +2671,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -2567,130 +2709,130 @@ " \n", " \n", " \n", - " 9270558\n", + " 6649184\n", " EOL\n", - " Plantae\n", - " Tracheophyta\n", - " Magnoliopsida\n", - " Asterales\n", - " Asteraceae\n", - " Artemisia\n", - " campestris\n", - " field sagewort\n", + " Animalia\n", + " Cnidaria\n", + " Hydrozoa\n", + " Siphonophorae\n", + " Rhodaliidae\n", + " Stephalia\n", + " corona\n", + " Stephalia corona\n", + " False\n", + " \n", + " \n", + " 3550624\n", + " EOL\n", + " Animalia\n", + " Chordata\n", + " Aves\n", + " Charadriiformes\n", + " Charadriidae\n", + " Vanellus\n", + " senegallus\n", + " African Wattled Lapwing\n", " True\n", " \n", " \n", - " 4817849\n", + " 7621227\n", " EOL\n", - " Plantae\n", - " Tracheophyta\n", - " Magnoliopsida\n", - " Myrtales\n", - " Onagraceae\n", - " Fuchsia\n", - " lycioides\n", - " Box-thorn Fuchsia\n", + " Animalia\n", + " Arthropoda\n", + " Insecta\n", + " Lepidoptera\n", + " Geometridae\n", + " Eupithecia\n", + " cocciferata\n", + " Eupithecia cocciferata\n", " True\n", " \n", " \n", - " 2551818\n", + " 8765571\n", " EOL\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Fabales\n", - " Fabaceae\n", - " Aspalathus\n", - " florifera\n", - " Aspalathus florifera\n", + " Malvales\n", + " Malvaceae\n", + " Hoheria\n", + " glabrata\n", + " Mountain ribbonwood\n", " True\n", " \n", " \n", - " 5472692\n", + " 6211016\n", " EOL\n", - " Plantae\n", - " Tracheophyta\n", - " Magnoliopsida\n", - " Gentianales\n", - " Apocynaceae\n", - " Marsdenia\n", - " pringlei\n", - " Marsdenia pringlei\n", + " Animalia\n", + " Chordata\n", + " Aves\n", + " Falconiformes\n", + " Falconidae\n", + " Micrastur\n", + " semitorquatus\n", + " Collared Forest Falcon\n", " True\n", " \n", " \n", - " 10934680\n", + " 4738233\n", " EOL\n", " Animalia\n", - " Arthropoda\n", - " Insecta\n", - " Hymenoptera\n", - " Formicidae\n", - " Azteca\n", - " tonduzi\n", - " Azteca tonduzi\n", + " Chordata\n", + " Aves\n", + " Accipitriformes\n", + " Accipitridae\n", + " Aquila\n", + " heliaca\n", + " Asian Imperial Eagle\n", " True\n", " \n", " \n", - " 10651724\n", + " 2827278\n", " EOL\n", " Plantae\n", " Tracheophyta\n", " Magnoliopsida\n", - " Ranunculales\n", - " Papaveraceae\n", - " Ehrendorferia\n", - " chrysantha\n", - " golden eardrops\n", + " Asparagales\n", + " Asparagaceae\n", + " Brodiaea\n", + " appendiculata\n", + " appendage brodiaea\n", " True\n", " \n", - " \n", - " 1338761\n", - " EOL\n", - " Animalia\n", - " Arthropoda\n", - " Insecta\n", - " Hemiptera\n", - " Aphalaridae\n", - " Aphalara\n", - " rumicis\n", - " whitefly\n", - " False\n", - " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order \n", - "9270558 EOL Plantae Tracheophyta Magnoliopsida Asterales \\\n", - "4817849 EOL Plantae Tracheophyta Magnoliopsida Myrtales \n", - "2551818 EOL Plantae Tracheophyta Magnoliopsida Fabales \n", - "5472692 EOL Plantae Tracheophyta Magnoliopsida Gentianales \n", - "10934680 EOL Animalia Arthropoda Insecta Hymenoptera \n", - "10651724 EOL Plantae Tracheophyta Magnoliopsida Ranunculales \n", - "1338761 EOL Animalia Arthropoda Insecta Hemiptera \n", + " data_source kingdom phylum class order \n", + "6649184 EOL Animalia Cnidaria Hydrozoa Siphonophorae \\\n", + "3550624 EOL Animalia Chordata Aves Charadriiformes \n", + "7621227 EOL Animalia Arthropoda Insecta Lepidoptera \n", + "8765571 EOL Plantae Tracheophyta Magnoliopsida Malvales \n", + "6211016 EOL Animalia Chordata Aves Falconiformes \n", + "4738233 EOL Animalia Chordata Aves Accipitriformes \n", + "2827278 EOL Plantae Tracheophyta Magnoliopsida Asparagales \n", "\n", - " family genus species common \n", - "9270558 Asteraceae Artemisia campestris field sagewort \\\n", - "4817849 Onagraceae Fuchsia lycioides Box-thorn Fuchsia \n", - "2551818 Fabaceae Aspalathus florifera Aspalathus florifera \n", - "5472692 Apocynaceae Marsdenia pringlei Marsdenia pringlei \n", - "10934680 Formicidae Azteca tonduzi Azteca tonduzi \n", - "10651724 Papaveraceae Ehrendorferia chrysantha golden eardrops \n", - "1338761 Aphalaridae Aphalara rumicis whitefly \n", + " family genus species common \n", + "6649184 Rhodaliidae Stephalia corona Stephalia corona \\\n", + "3550624 Charadriidae Vanellus senegallus African Wattled Lapwing \n", + "7621227 Geometridae Eupithecia cocciferata Eupithecia cocciferata \n", + "8765571 Malvaceae Hoheria glabrata Mountain ribbonwood \n", + "6211016 Falconidae Micrastur semitorquatus Collared Forest Falcon \n", + "4738233 Accipitridae Aquila heliaca Asian Imperial Eagle \n", + "2827278 Asparagaceae Brodiaea appendiculata appendage brodiaea \n", "\n", - " duplicate \n", - "9270558 True \n", - "4817849 True \n", - "2551818 True \n", - "5472692 True \n", - "10934680 True \n", - "10651724 True \n", - "1338761 False " + " duplicate \n", + "6649184 False \n", + "3550624 True \n", + "7621227 True \n", + "8765571 True \n", + "6211016 True \n", + "4738233 True \n", + "2827278 True " ] }, - "execution_count": 53, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -2709,7 +2851,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -2747,130 +2889,130 @@ " \n", " \n", " \n", - " 5188973\n", + " 10697763\n", " EOL\n", " Animalia\n", - " Mollusca\n", - " Gastropoda\n", - " Neogastropoda\n", - " Mitridae\n", - " Mitra\n", + " Arthropoda\n", + " Insecta\n", + " Diptera\n", " NaN\n", - " mitras mitres\n", + " NaN\n", + " NaN\n", + " Animalia Arthropoda Insecta Diptera\n", " True\n", " \n", " \n", - " 5995303\n", + " 4315872\n", " EOL\n", - " Plantae\n", - " Tracheophyta\n", - " Magnoliopsida\n", - " Vitales\n", - " Vitaceae\n", - " Vitis\n", + " Animalia\n", + " Arthropoda\n", + " Insecta\n", + " Coleoptera\n", + " Bolboceratidae\n", + " Blackbolbus\n", " NaN\n", - " champin's grape\n", + " Blackbolbus\n", " True\n", " \n", " \n", - " 3906456\n", + " 10553692\n", " EOL\n", - " Fungi\n", - " Basidiomycota\n", - " Agaricomycetes\n", - " Agaricales\n", - " Agaricaceae\n", - " Agaricus\n", + " Animalia\n", + " Arthropoda\n", + " Insecta\n", + " Diptera\n", + " Stratiomyidae\n", + " Ptecticus\n", " NaN\n", - " Agaricus\n", + " Ptecticus\n", " True\n", " \n", " \n", - " 7978418\n", + " 8914351\n", " EOL\n", - " Animalia\n", - " Chordata\n", - " Aves\n", - " Galliformes\n", - " NaN\n", - " NaN\n", + " Plantae\n", + " Tracheophyta\n", + " Magnoliopsida\n", + " Caryophyllales\n", + " Cactaceae\n", + " Escobaria\n", " NaN\n", - " Animalia Chordata Aves Galliformes\n", + " foxtail cactu\n", " True\n", " \n", " \n", - " 5606824\n", + " 10428702\n", " EOL\n", " Animalia\n", " Mollusca\n", " Gastropoda\n", - " Littorinimorpha\n", - " Cassidae\n", - " Phalium\n", + " Heterostropha\n", + " Pyramidellidae\n", + " Pyrgulina\n", " NaN\n", - " Phalium\n", - " True\n", + " Pyrgulina\n", + " False\n", " \n", " \n", - " 3243158\n", + " 3895034\n", " EOL\n", - " Plantae\n", - " Tracheophyta\n", - " Magnoliopsida\n", - " Gentianales\n", - " Apocynaceae\n", - " Aspidoglossum\n", + " Animalia\n", + " Arthropoda\n", + " Malacostraca\n", + " Amphipoda\n", + " Oedicerotidae\n", + " Deflexilodes\n", " NaN\n", - " Aspidoglossum\n", + " Deflexilodes\n", " True\n", " \n", " \n", - " 5087076\n", + " 6222319\n", " EOL\n", - " Animalia\n", - " Chordata\n", - " Aves\n", - " Passeriformes\n", - " Turdidae\n", - " Cochoa\n", + " Plantae\n", + " Tracheophyta\n", + " Magnoliopsida\n", + " Ranunculales\n", + " Ranunculaceae\n", + " Clematis\n", " NaN\n", - " Cochoa\n", - " False\n", + " traveller's joy\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order \n", - "5188973 EOL Animalia Mollusca Gastropoda Neogastropoda \\\n", - "5995303 EOL Plantae Tracheophyta Magnoliopsida Vitales \n", - "3906456 EOL Fungi Basidiomycota Agaricomycetes Agaricales \n", - "7978418 EOL Animalia Chordata Aves Galliformes \n", - "5606824 EOL Animalia Mollusca Gastropoda Littorinimorpha \n", - "3243158 EOL Plantae Tracheophyta Magnoliopsida Gentianales \n", - "5087076 EOL Animalia Chordata Aves Passeriformes \n", + " data_source kingdom phylum class order \n", + "10697763 EOL Animalia Arthropoda Insecta Diptera \\\n", + "4315872 EOL Animalia Arthropoda Insecta Coleoptera \n", + "10553692 EOL Animalia Arthropoda Insecta Diptera \n", + "8914351 EOL Plantae Tracheophyta Magnoliopsida Caryophyllales \n", + "10428702 EOL Animalia Mollusca Gastropoda Heterostropha \n", + "3895034 EOL Animalia Arthropoda Malacostraca Amphipoda \n", + "6222319 EOL Plantae Tracheophyta Magnoliopsida Ranunculales \n", "\n", - " family genus species \n", - "5188973 Mitridae Mitra NaN \\\n", - "5995303 Vitaceae Vitis NaN \n", - "3906456 Agaricaceae Agaricus NaN \n", - "7978418 NaN NaN NaN \n", - "5606824 Cassidae Phalium NaN \n", - "3243158 Apocynaceae Aspidoglossum NaN \n", - "5087076 Turdidae Cochoa NaN \n", + " family genus species \n", + "10697763 NaN NaN NaN \\\n", + "4315872 Bolboceratidae Blackbolbus NaN \n", + "10553692 Stratiomyidae Ptecticus NaN \n", + "8914351 Cactaceae Escobaria NaN \n", + "10428702 Pyramidellidae Pyrgulina NaN \n", + "3895034 Oedicerotidae Deflexilodes NaN \n", + "6222319 Ranunculaceae Clematis NaN \n", "\n", - " common duplicate \n", - "5188973 mitras mitres True \n", - "5995303 champin's grape True \n", - "3906456 Agaricus True \n", - "7978418 Animalia Chordata Aves Galliformes True \n", - "5606824 Phalium True \n", - "3243158 Aspidoglossum True \n", - "5087076 Cochoa False " + " common duplicate \n", + "10697763 Animalia Arthropoda Insecta Diptera True \n", + "4315872 Blackbolbus True \n", + "10553692 Ptecticus True \n", + "8914351 foxtail cactu True \n", + "10428702 Pyrgulina False \n", + "3895034 Deflexilodes True \n", + "6222319 traveller's joy True " ] }, - "execution_count": 54, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -2889,14 +3031,14 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_90984/2529943378.py:16: SettingWithCopyWarning: \n", + "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_21438/2529943378.py:16: 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", @@ -2909,21 +3051,21 @@ "output_type": "stream", "text": [ "\n", - "Index: 6250689 entries, 957254 to 10998645\n", + "Index: 6250420 entries, 956715 to 11000930\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 data_source 6250689 non-null object\n", - " 1 kingdom 5868540 non-null object\n", - " 2 phylum 5878322 non-null object\n", - " 3 class 5854358 non-null object\n", - " 4 order 5851858 non-null object\n", - " 5 family 5835842 non-null object\n", - " 6 genus 5940575 non-null object\n", - " 7 species 5951882 non-null object\n", - " 8 common 6250689 non-null object\n", - " 9 duplicate 6250689 non-null bool \n", - " 10 len_species 6250689 non-null int64 \n", + " 0 data_source 6250420 non-null object\n", + " 1 kingdom 5989611 non-null object\n", + " 2 phylum 5991207 non-null object\n", + " 3 class 5971438 non-null object\n", + " 4 order 5965299 non-null object\n", + " 5 family 5948728 non-null object\n", + " 6 genus 5940313 non-null object\n", + " 7 species 5951613 non-null object\n", + " 8 common 6250420 non-null object\n", + " 9 duplicate 6250420 non-null bool \n", + " 10 len_species 6250420 non-null int64 \n", "dtypes: bool(1), int64(1), object(9)\n", "memory usage: 530.5+ MB\n" ] @@ -2936,7 +3078,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -2944,23 +3086,23 @@ "output_type": "stream", "text": [ "\n", - "Index: 145301 entries, 957254 to 10998622\n", + "Index: 133905 entries, 956750 to 10999013\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", - " 0 data_source 145301 non-null object\n", - " 1 kingdom 22 non-null object\n", - " 2 phylum 22 non-null object\n", - " 3 class 22 non-null object\n", - " 4 order 582 non-null object\n", - " 5 family 631 non-null object\n", - " 6 genus 145301 non-null object\n", - " 7 species 145301 non-null object\n", - " 8 common 145301 non-null object\n", - " 9 duplicate 145301 non-null bool \n", - " 10 len_species 145301 non-null int64 \n", + " 0 data_source 133905 non-null object\n", + " 1 kingdom 98084 non-null object\n", + " 2 phylum 98092 non-null object\n", + " 3 class 98092 non-null object\n", + " 4 order 98473 non-null object\n", + " 5 family 98667 non-null object\n", + " 6 genus 133905 non-null object\n", + " 7 species 133905 non-null object\n", + " 8 common 133905 non-null object\n", + " 9 duplicate 133905 non-null bool \n", + " 10 len_species 133905 non-null int64 \n", "dtypes: bool(1), int64(1), object(9)\n", - "memory usage: 12.3+ MB\n" + "memory usage: 11.4+ MB\n" ] } ], @@ -2978,14 +3120,14 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "len_species\n", - "2 121046\n", + "2 109650\n", "3 19652\n", "4 3948\n", "5 316\n", @@ -3004,7 +3146,7 @@ "Name: count, dtype: int64" ] }, - "execution_count": 57, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -3026,7 +3168,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -3065,146 +3207,155 @@ " \n", " \n", " \n", - " 2602723\n", + " 6013518\n", " EOL\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " Photinia\n", - " japonica benth. & hook.f. ex asch. & schweinf.\n", - " Photinia japonica benth. & hook.f. ex asch. & ...\n", + " Eriocaulaceae\n", + " taxonomy:genus=paepalanthus taxonomy:binomial=...\n", + " Eriocaulaceae taxonomy:genus=paepalanthus taxo...\n", " False\n", - " 8\n", + " 9\n", " \n", " \n", - " 1735249\n", + " 7970572\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Bee\n", - " bees entomology apoidea extrememacro insects i...\n", - " Bee bees entomology apoidea extrememacro insec...\n", - " False\n", - " 15\n", + " Plantae\n", + " Tracheophyta\n", + " Magnoliopsida\n", + " Malvales\n", + " Thymelaeaceae\n", + " Daphne\n", + " mezereum daphne mezereum fo. alba daphne white...\n", + " Daphne mezereum daphne mezereum fo. alba daphn...\n", + " True\n", + " 10\n", " \n", " \n", - " 4389838\n", + " 1845716\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Alepidoscelis\n", - " pollen biml usgs usgsbiml droege female макрос...\n", - " Alepidoscelis pollen biml usgs usgsbiml droege...\n", - " False\n", - " 21\n", + " Plantae\n", + " Tracheophyta\n", + " Magnoliopsida\n", + " Malvales\n", + " Thymelaeaceae\n", + " Daphne\n", + " mezereum daphne mezereum fo. alba daphne white...\n", + " Daphne mezereum daphne mezereum fo. alba daphn...\n", + " True\n", + " 10\n", " \n", " \n", - " 9658690\n", + " 6681079\n", " EOL\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " Malacostraca\n", - " taxonomy:order=decapoda decapoda taxonomy:fami...\n", - " Malacostraca taxonomy:order=decapoda decapoda ...\n", + " Plantae\n", + " taxonomy:class= chlorophyceae taxonomy:family=...\n", + " Plantae taxonomy:class= chlorophyceae taxonomy...\n", " False\n", - " 8\n", + " 18\n", " \n", " \n", - " 3427215\n", + " 3413822\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Cupressus\n", - " macrocarpa x xanthocyparis nootkatensis = x cu...\n", - " Cupressus macrocarpa x xanthocyparis nootkaten...\n", + " Fungi\n", + " Basidiomycota\n", + " Agaricomycetes\n", + " Agaricales\n", + " Lycoperdaceae\n", + " Lycoperdon\n", + " lividum lycoperdon spadiceum grassland puffbal...\n", + " Lycoperdon lividum lycoperdon spadiceum grassl...\n", " True\n", - " 8\n", + " 16\n", " \n", " \n", - " 5137227\n", + " 4213300\n", " EOL\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " Cupressus\n", - " macrocarpa x xanthocyparis nootkatensis = x cu...\n", - " Cupressus macrocarpa x xanthocyparis nootkaten...\n", - " True\n", - " 8\n", + " Bee\n", + " bees entomology apoidea extrememacro insects i...\n", + " Bee bees entomology apoidea extrememacro insec...\n", + " False\n", + " 15\n", " \n", " \n", - " 10327866\n", + " 9898360\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Cupressus\n", - " macrocarpa x xanthocyparis nootkatensis = x cu...\n", - " Cupressus macrocarpa x xanthocyparis nootkaten...\n", + " Fungi\n", + " Basidiomycota\n", + " Agaricomycetes\n", + " Agaricales\n", + " Lycoperdaceae\n", + " Lycoperdon\n", + " lividum lycoperdon spadiceum grassland puffbal...\n", + " Lycoperdon lividum lycoperdon spadiceum grassl...\n", " True\n", - " 8\n", + " 16\n", " \n", " \n", "\n", "" ], "text/plain": [ - " data_source kingdom phylum class order family genus \n", - "2602723 EOL NaN NaN NaN NaN NaN Photinia \\\n", - "1735249 EOL NaN NaN NaN NaN NaN Bee \n", - "4389838 EOL NaN NaN NaN NaN NaN Alepidoscelis \n", - "9658690 EOL NaN NaN NaN NaN NaN Malacostraca \n", - "3427215 EOL NaN NaN NaN NaN NaN Cupressus \n", - "5137227 EOL NaN NaN NaN NaN NaN Cupressus \n", - "10327866 EOL NaN NaN NaN NaN NaN Cupressus \n", + " data_source kingdom phylum class order \n", + "6013518 EOL NaN NaN NaN NaN \\\n", + "7970572 EOL Plantae Tracheophyta Magnoliopsida Malvales \n", + "1845716 EOL Plantae Tracheophyta Magnoliopsida Malvales \n", + "6681079 EOL NaN NaN NaN NaN \n", + "3413822 EOL Fungi Basidiomycota Agaricomycetes Agaricales \n", + "4213300 EOL NaN NaN NaN NaN \n", + "9898360 EOL Fungi Basidiomycota Agaricomycetes Agaricales \n", + "\n", + " family genus \n", + "6013518 NaN Eriocaulaceae \\\n", + "7970572 Thymelaeaceae Daphne \n", + "1845716 Thymelaeaceae Daphne \n", + "6681079 NaN Plantae \n", + "3413822 Lycoperdaceae Lycoperdon \n", + "4213300 NaN Bee \n", + "9898360 Lycoperdaceae Lycoperdon \n", "\n", - " species \n", - "2602723 japonica benth. & hook.f. ex asch. & schweinf. \\\n", - "1735249 bees entomology apoidea extrememacro insects i... \n", - "4389838 pollen biml usgs usgsbiml droege female макрос... \n", - "9658690 taxonomy:order=decapoda decapoda taxonomy:fami... \n", - "3427215 macrocarpa x xanthocyparis nootkatensis = x cu... \n", - "5137227 macrocarpa x xanthocyparis nootkatensis = x cu... \n", - "10327866 macrocarpa x xanthocyparis nootkatensis = x cu... \n", + " species \n", + "6013518 taxonomy:genus=paepalanthus taxonomy:binomial=... \\\n", + "7970572 mezereum daphne mezereum fo. alba daphne white... \n", + "1845716 mezereum daphne mezereum fo. alba daphne white... \n", + "6681079 taxonomy:class= chlorophyceae taxonomy:family=... \n", + "3413822 lividum lycoperdon spadiceum grassland puffbal... \n", + "4213300 bees entomology apoidea extrememacro insects i... \n", + "9898360 lividum lycoperdon spadiceum grassland puffbal... \n", "\n", - " common duplicate \n", - "2602723 Photinia japonica benth. & hook.f. ex asch. & ... False \\\n", - "1735249 Bee bees entomology apoidea extrememacro insec... False \n", - "4389838 Alepidoscelis pollen biml usgs usgsbiml droege... False \n", - "9658690 Malacostraca taxonomy:order=decapoda decapoda ... False \n", - "3427215 Cupressus macrocarpa x xanthocyparis nootkaten... True \n", - "5137227 Cupressus macrocarpa x xanthocyparis nootkaten... True \n", - "10327866 Cupressus macrocarpa x xanthocyparis nootkaten... True \n", + " common duplicate \n", + "6013518 Eriocaulaceae taxonomy:genus=paepalanthus taxo... False \\\n", + "7970572 Daphne mezereum daphne mezereum fo. alba daphn... True \n", + "1845716 Daphne mezereum daphne mezereum fo. alba daphn... True \n", + "6681079 Plantae taxonomy:class= chlorophyceae taxonomy... False \n", + "3413822 Lycoperdon lividum lycoperdon spadiceum grassl... True \n", + "4213300 Bee bees entomology apoidea extrememacro insec... False \n", + "9898360 Lycoperdon lividum lycoperdon spadiceum grassl... True \n", "\n", - " len_species \n", - "2602723 8 \n", - "1735249 15 \n", - "4389838 21 \n", - "9658690 8 \n", - "3427215 8 \n", - "5137227 8 \n", - "10327866 8 " + " len_species \n", + "6013518 9 \n", + "7970572 10 \n", + "1845716 10 \n", + "6681079 18 \n", + "3413822 16 \n", + "4213300 15 \n", + "9898360 16 " ] }, - "execution_count": 58, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -3215,27 +3366,27 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "data_source 1\n", - "kingdom 1\n", - "phylum 1\n", - "class 1\n", - "order 20\n", - "family 34\n", - "genus 8587\n", - "species 22759\n", - "common 23241\n", + "kingdom 8\n", + "phylum 39\n", + "class 99\n", + "order 409\n", + "family 1543\n", + "genus 8220\n", + "species 21531\n", + "common 21927\n", "duplicate 2\n", "len_species 16\n", "dtype: int64" ] }, - "execution_count": 59, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -3253,7 +3404,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -3292,100 +3443,100 @@ " \n", " \n", " \n", - " 7514898\n", + " 9331240\n", " EOL\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " Harmonia\n", - " axyridis form conspicua\n", - " Harmonia axyridis form conspicua\n", + " Choreutis\n", + " sycopola meyrick\n", + " Choreutis sycopola meyrick\n", " True\n", - " 3\n", + " 2\n", " \n", " \n", - " 5396591\n", + " 4271002\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Coelomycete\n", - " sp. indesc.\n", - " Coelomycete sp. indesc.\n", + " Plantae\n", + " Tracheophyta\n", + " Magnoliopsida\n", + " Rosales\n", + " Moraceae\n", + " Castilla\n", + " elastica cerv.\n", + " Castilla elastica cerv.\n", " True\n", " 2\n", " \n", " \n", - " 1903947\n", + " 3359417\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Endotricha\n", - " dentiprocessa li\n", - " Endotricha dentiprocessa li\n", + " Animalia\n", + " Mollusca\n", + " Bivalvia\n", + " Mytilida\n", + " Mytilidae\n", + " Modiolus\n", + " flavida dunker\n", + " Modiolus flavida dunker\n", " False\n", " 2\n", " \n", " \n", - " 8774963\n", + " 4357303\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " Animalia\n", + " Arthropoda\n", + " Insecta\n", + " Lepidoptera\n", + " Nymphalidae\n", " Ypthima\n", - " pandocus corticaria\n", - " Ypthima pandocus corticaria\n", + " horsfieldii moore\n", + " Ypthima horsfieldii moore\n", " True\n", " 2\n", " \n", " \n", - " 1621291\n", + " 10951228\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Allopora\n", - " campyleca tylota fisher\n", - " Allopora campyleca tylota fisher\n", - " False\n", - " 3\n", + " Animalia\n", + " Arthropoda\n", + " Collembola\n", + " Collembola\n", + " Entomobryidae\n", + " Homidia\n", + " jordanai pan\n", + " Homidia jordanai pan\n", + " True\n", + " 2\n", " \n", " \n", - " 3601676\n", + " 6270078\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Silene\n", - " wahlbergella chowdhuri\n", - " Silene wahlbergella chowdhuri\n", + " Plantae\n", + " Tracheophyta\n", + " Magnoliopsida\n", + " Fabales\n", + " Fabaceae\n", + " Sphaerolobium\n", + " minus labill.\n", + " Sphaerolobium minus labill.\n", " True\n", " 2\n", " \n", " \n", - " 5636041\n", + " 4056690\n", " EOL\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " Penstemon\n", - " brevisepalus pennell\n", - " Penstemon brevisepalus pennell\n", + " Animalia\n", + " Arthropoda\n", + " Insecta\n", + " Lepidoptera\n", + " Erebidae\n", + " Catocala\n", + " streckeri staudinger\n", + " Catocala streckeri staudinger\n", " True\n", " 2\n", " \n", @@ -3394,35 +3545,35 @@ "" ], "text/plain": [ - " data_source kingdom phylum class order family genus \n", - "7514898 EOL NaN NaN NaN NaN NaN Harmonia \\\n", - "5396591 EOL NaN NaN NaN NaN NaN Coelomycete \n", - "1903947 EOL NaN NaN NaN NaN NaN Endotricha \n", - "8774963 EOL NaN NaN NaN NaN NaN Ypthima \n", - "1621291 EOL NaN NaN NaN NaN NaN Allopora \n", - "3601676 EOL NaN NaN NaN NaN NaN Silene \n", - "5636041 EOL NaN NaN NaN NaN NaN Penstemon \n", + " data_source kingdom phylum class order \n", + "9331240 EOL NaN NaN NaN NaN \\\n", + "4271002 EOL Plantae Tracheophyta Magnoliopsida Rosales \n", + "3359417 EOL Animalia Mollusca Bivalvia Mytilida \n", + "4357303 EOL Animalia Arthropoda Insecta Lepidoptera \n", + "10951228 EOL Animalia Arthropoda Collembola Collembola \n", + "6270078 EOL Plantae Tracheophyta Magnoliopsida Fabales \n", + "4056690 EOL Animalia Arthropoda Insecta Lepidoptera \n", "\n", - " species common duplicate \n", - "7514898 axyridis form conspicua Harmonia axyridis form conspicua True \\\n", - "5396591 sp. indesc. Coelomycete sp. indesc. True \n", - "1903947 dentiprocessa li Endotricha dentiprocessa li False \n", - "8774963 pandocus corticaria Ypthima pandocus corticaria True \n", - "1621291 campyleca tylota fisher Allopora campyleca tylota fisher False \n", - "3601676 wahlbergella chowdhuri Silene wahlbergella chowdhuri True \n", - "5636041 brevisepalus pennell Penstemon brevisepalus pennell True \n", + " family genus species \n", + "9331240 NaN Choreutis sycopola meyrick \\\n", + "4271002 Moraceae Castilla elastica cerv. \n", + "3359417 Mytilidae Modiolus flavida dunker \n", + "4357303 Nymphalidae Ypthima horsfieldii moore \n", + "10951228 Entomobryidae Homidia jordanai pan \n", + "6270078 Fabaceae Sphaerolobium minus labill. \n", + "4056690 Erebidae Catocala streckeri staudinger \n", "\n", - " len_species \n", - "7514898 3 \n", - "5396591 2 \n", - "1903947 2 \n", - "8774963 2 \n", - "1621291 3 \n", - "3601676 2 \n", - "5636041 2 " + " common duplicate len_species \n", + "9331240 Choreutis sycopola meyrick True 2 \n", + "4271002 Castilla elastica cerv. True 2 \n", + "3359417 Modiolus flavida dunker False 2 \n", + "4357303 Ypthima horsfieldii moore True 2 \n", + "10951228 Homidia jordanai pan True 2 \n", + "6270078 Sphaerolobium minus labill. True 2 \n", + "4056690 Catocala streckeri staudinger True 2 " ] }, - "execution_count": 60, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3441,6 +3592,55 @@ "Ex from earlier: \"Adelpha godmani\" is a butterfly with species name given by Fruhstorfer in 1913 ([source](https://butterfliesofamerica.com/L/t/Adelpha_godmani_a.htm)), it was listed as \"adelpha godmani fruhstorfer\"." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Check for webdataset loss\n", + "\n", + "Are we potentially losing entries that have a longer number of words in species column? Let's see if any of these have full taxa." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 98084 entries, 956750 to 10999013\n", + "Data columns (total 7 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 kingdom 98084 non-null object\n", + " 1 phylum 98084 non-null object\n", + " 2 class 98084 non-null object\n", + " 3 order 98084 non-null object\n", + " 4 family 98084 non-null object\n", + " 5 genus 98084 non-null object\n", + " 6 species 98084 non-null object\n", + "dtypes: object(7)\n", + "memory usage: 6.0+ MB\n" + ] + } + ], + "source": [ + "eol_long_all_taxa = eol_long_species.dropna(subset = taxa)\n", + "eol_long_all_taxa[taxa].info(show_counts = True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That's a good number of images, so unlikely to be the cause." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -3459,7 +3659,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -3484,7 +3684,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -3510,7 +3710,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "BIOSCAN and iNat21's overlap of genera is completely contained in EOL." + "BIOSCAN and iNat21's overlap of genera is completely contained in EOL.\n", + "\n", + "No changes here." ] }, { @@ -3524,7 +3726,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 60, "metadata": {}, "outputs": [], "source": [ @@ -3533,7 +3735,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 61, "metadata": {}, "outputs": [], "source": [ @@ -3556,7 +3758,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -3591,94 +3793,94 @@ " \n", " 0\n", " kingdom\n", - " 1.490932e+06\n", - " 1221.037088\n", - " 1.383385e+06\n", - " 1176.173942\n", + " 869710.083333\n", + " 932.582481\n", + " 817063.916667\n", + " 903.915879\n", " \n", " \n", " 1\n", " phylum\n", - " 1.159613e+05\n", - " 340.530974\n", - " 1.077053e+05\n", - " 328.184873\n", + " 96634.453704\n", + " 310.860827\n", + " 90799.657407\n", + " 301.329815\n", " \n", " \n", " 2\n", " class\n", - " 3.674831e+04\n", - " 191.698496\n", - " 3.404758e+04\n", - " 184.519876\n", + " 30076.429395\n", + " 173.425573\n", + " 28203.440922\n", + " 167.938801\n", " \n", " \n", " 3\n", " order\n", - " 7.841113e+03\n", - " 88.550058\n", - " 7.262971e+03\n", - " 85.223064\n", + " 6980.950502\n", + " 83.552083\n", + " 6542.110368\n", + " 80.883313\n", " \n", " \n", " 4\n", " family\n", - " 1.339389e+03\n", - " 36.597667\n", - " 1.236603e+03\n", - " 35.165360\n", + " 1309.804342\n", + " 36.191219\n", + " 1223.455447\n", + " 34.977928\n", " \n", " \n", " 5\n", " genus\n", - " 1.413071e+02\n", + " 141.307134\n", " 11.887268\n", - " 1.202537e+02\n", - " 10.966024\n", + " 120.250132\n", + " 10.965862\n", " \n", " \n", " 6\n", " species\n", - " 6.331150e+01\n", - " 7.956852\n", - " 5.291774e+01\n", - " 7.274458\n", + " 63.770697\n", + " 7.985656\n", + " 53.299908\n", + " 7.300679\n", " \n", " \n", " 7\n", " common\n", - " 2.345850e+01\n", - " 4.843397\n", - " 2.262532e+01\n", - " 4.756608\n", + " 23.511079\n", + " 4.848822\n", + " 22.675425\n", + " 4.761872\n", " \n", " \n", "\n", "" ], "text/plain": [ - " class average_all_imgs standard_deviation avg_labeled \n", - "0 kingdom 1.490932e+06 1221.037088 1.383385e+06 \\\n", - "1 phylum 1.159613e+05 340.530974 1.077053e+05 \n", - "2 class 3.674831e+04 191.698496 3.404758e+04 \n", - "3 order 7.841113e+03 88.550058 7.262971e+03 \n", - "4 family 1.339389e+03 36.597667 1.236603e+03 \n", - "5 genus 1.413071e+02 11.887268 1.202537e+02 \n", - "6 species 6.331150e+01 7.956852 5.291774e+01 \n", - "7 common 2.345850e+01 4.843397 2.262532e+01 \n", + " class average_all_imgs standard_deviation avg_labeled \n", + "0 kingdom 869710.083333 932.582481 817063.916667 \\\n", + "1 phylum 96634.453704 310.860827 90799.657407 \n", + "2 class 30076.429395 173.425573 28203.440922 \n", + "3 order 6980.950502 83.552083 6542.110368 \n", + "4 family 1309.804342 36.191219 1223.455447 \n", + "5 genus 141.307134 11.887268 120.250132 \n", + "6 species 63.770697 7.985656 53.299908 \n", + "7 common 23.511079 4.848822 22.675425 \n", "\n", " std_dev_labeled \n", - "0 1176.173942 \n", - "1 328.184873 \n", - "2 184.519876 \n", - "3 85.223064 \n", - "4 35.165360 \n", - "5 10.966024 \n", - "6 7.274458 \n", - "7 4.756608 " + "0 903.915879 \n", + "1 301.329815 \n", + "2 167.938801 \n", + "3 80.883313 \n", + "4 34.977928 \n", + "5 10.965862 \n", + "6 7.300679 \n", + "7 4.761872 " ] }, - "execution_count": 65, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -3691,7 +3893,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -3707,7 +3909,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -3716,7 +3918,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -3725,13 +3927,13 @@ "" ] }, - "execution_count": 68, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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