{
"cells": [
{
"cell_type": "markdown",
"id": "36ffdd0e",
"metadata": {},
"source": [
"# Tutorial 2: Taxa\n",
"[](https://mybinder.org/v2/gh/niconoe/pyinaturalist/main?filepath=examples%2FTutorial_2_Taxa.ipynb)\n",
"\n",
"This notebook will give a quick introduction to searching taxa."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "1b7ffb09",
"metadata": {},
"outputs": [],
"source": [
"import altair as alt\n",
"import ipyplot\n",
"import pandas as pd\n",
"from IPython.display import Image\n",
"from pyinaturalist import (\n",
" Taxon,\n",
" enable_logging,\n",
" get_taxa,\n",
" get_taxa_autocomplete,\n",
" get_taxa_by_id,\n",
" pprint,\n",
")\n",
"from rich import print\n",
"\n",
"enable_logging()"
]
},
{
"cell_type": "markdown",
"id": "3bd30a71",
"metadata": {},
"source": [
"## Basic taxon search\n",
"Let's say you partially remember either a genus or family name that started with **'vespi'**-something.\n",
"The [taxa endpoint](https://pyinaturalist.readthedocs.io/en/stable/modules/pyinaturalist.v1.taxa.html#pyinaturalist.v1.taxa.get_taxa)\n",
"can be used to search by name, rank, and several other criteria"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "60e719b3",
"metadata": {},
"outputs": [],
"source": [
"response = get_taxa(q='vespi', rank=['genus', 'family'])\n",
"taxa = Taxon.from_json_list(response)"
]
},
{
"cell_type": "markdown",
"id": "9dca3b13",
"metadata": {},
"source": [
"## Taxon data\n",
"As with observations, there is a lot of information in the response:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "3f53d34f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Taxon(\n",
" id=52747,\n",
" ancestor_ids=[\n",
" 48460,\n",
" 1,\n",
" 47120,\n",
" 372739,\n",
" 47158,\n",
" 184884,\n",
" 47201,\n",
" 124417,\n",
" 326777,\n",
" 48740,\n",
" 52747\n",
" ],\n",
" complete_rank=None,\n",
" complete_species_count=None,\n",
" created_at=None,\n",
" current_synonymous_taxon_ids=[],\n",
" extinct=False,\n",
" iconic_taxon_id=47158,\n",
" iconic_taxon_name='Insecta',\n",
" is_active=True,\n",
" listed_taxa_count=None,\n",
" matched_term='Vespidae',\n",
" name='Vespidae',\n",
" names=[],\n",
" observations_count=314925,\n",
" parent_id=48740,\n",
" preferred_common_name='Hornets, Paper Wasps, Potter Wasps, and Allies',\n",
" preferred_establishment_means=None,\n",
" rank_level=30,\n",
" rank='family',\n",
" taxon_changes_count=0,\n",
" taxon_schemes_count=2,\n",
" vision=None,\n",
" wikipedia_summary=None,\n",
" wikipedia_url='http://en.wikipedia.org/wiki/Vespidae',\n",
" ancestors=[],\n",
" children=[],\n",
" conservation_status=None,\n",
" conservation_statuses=[],\n",
" default_photo=[13765] \n",
"https://inaturalist-open-data.s3.amazonaws.com/photos/13765/original.jpg?1545358964 \n",
"(CC-BY-NC-SA, 1024x679),\n",
" establishment_means=None,\n",
" listed_taxa=[],\n",
" taxon_photos=[]\n",
")\n",
"\n"
],
"text/plain": [
"\u001b[1;35mTaxon\u001b[0m\u001b[1m(\u001b[0m\n",
" \u001b[33mid\u001b[0m=\u001b[1;36m52747\u001b[0m,\n",
" \u001b[33mancestor_ids\u001b[0m=\u001b[1m[\u001b[0m\n",
" \u001b[1;36m48460\u001b[0m,\n",
" \u001b[1;36m1\u001b[0m,\n",
" \u001b[1;36m47120\u001b[0m,\n",
" \u001b[1;36m372739\u001b[0m,\n",
" \u001b[1;36m47158\u001b[0m,\n",
" \u001b[1;36m184884\u001b[0m,\n",
" \u001b[1;36m47201\u001b[0m,\n",
" \u001b[1;36m124417\u001b[0m,\n",
" \u001b[1;36m326777\u001b[0m,\n",
" \u001b[1;36m48740\u001b[0m,\n",
" \u001b[1;36m52747\u001b[0m\n",
" \u001b[1m]\u001b[0m,\n",
" \u001b[33mcomplete_rank\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mcomplete_species_count\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mcreated_at\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mcurrent_synonymous_taxon_ids\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,\n",
" \u001b[33mextinct\u001b[0m=\u001b[3;91mFalse\u001b[0m,\n",
" \u001b[33miconic_taxon_id\u001b[0m=\u001b[1;36m47158\u001b[0m,\n",
" \u001b[33miconic_taxon_name\u001b[0m=\u001b[32m'Insecta'\u001b[0m,\n",
" \u001b[33mis_active\u001b[0m=\u001b[3;92mTrue\u001b[0m,\n",
" \u001b[33mlisted_taxa_count\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mmatched_term\u001b[0m=\u001b[32m'Vespidae'\u001b[0m,\n",
" \u001b[33mname\u001b[0m=\u001b[32m'Vespidae'\u001b[0m,\n",
" \u001b[33mnames\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,\n",
" \u001b[33mobservations_count\u001b[0m=\u001b[1;36m314925\u001b[0m,\n",
" \u001b[33mparent_id\u001b[0m=\u001b[1;36m48740\u001b[0m,\n",
" \u001b[33mpreferred_common_name\u001b[0m=\u001b[32m'Hornets, Paper Wasps, Potter Wasps, and Allies'\u001b[0m,\n",
" \u001b[33mpreferred_establishment_means\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mrank_level\u001b[0m=\u001b[1;36m30\u001b[0m,\n",
" \u001b[33mrank\u001b[0m=\u001b[32m'family'\u001b[0m,\n",
" \u001b[33mtaxon_changes_count\u001b[0m=\u001b[1;36m0\u001b[0m,\n",
" \u001b[33mtaxon_schemes_count\u001b[0m=\u001b[1;36m2\u001b[0m,\n",
" \u001b[33mvision\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mwikipedia_summary\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mwikipedia_url\u001b[0m=\u001b[32m'http://en.wikipedia.org/wiki/Vespidae'\u001b[0m,\n",
" \u001b[33mancestors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,\n",
" \u001b[33mchildren\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,\n",
" \u001b[33mconservation_status\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mconservation_statuses\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,\n",
" \u001b[33mdefault_photo\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;36m13765\u001b[0m\u001b[1m]\u001b[0m \n",
"\u001b[4;94mhttps://inaturalist-open-data.s3.amazonaws.com/photos/13765/original.jpg?1545358964\u001b[0m \n",
"\u001b[1m(\u001b[0mCC-BY-NC-SA, 1024x679\u001b[1m)\u001b[0m,\n",
" \u001b[33mestablishment_means\u001b[0m=\u001b[3;35mNone\u001b[0m,\n",
" \u001b[33mlisted_taxa\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,\n",
" \u001b[33mtaxon_photos\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n",
"\u001b[1m)\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(taxa[0])"
]
},
{
"cell_type": "markdown",
"id": "4020d25d",
"metadata": {},
"source": [
"## Previewing data\n",
"And we can get a condensed preview with `pprint()`:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "2cb9732e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" ID Rank Scientific name Common name \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" 52747 family 🐝 Vespidae Hornets, Paper Wasps, Potter Wasps, and Allies \n",
" 92786 genus 🐟 Vespicula \n",
" 84737 genus 🦋 Vespina \n",
" 250566 genus 🐝 Vespita \n",
" 646195 genus 🪰 Vespiodes \n",
" 1007575 genus 🦋 Vespitinea \n",
" \n",
"\n"
],
"text/plain": [
" \n",
" \u001b[1;37m \u001b[0m\u001b[1;37mID \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mRank \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mScientific name\u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mCommon name \u001b[0m\u001b[1;37m \u001b[0m \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m52747 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mfamily\u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🐝 Vespidae \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mHornets, Paper Wasps, Potter Wasps, and Allies\u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m92786 \u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mgenus \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🐟 Vespicula \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m84737 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mgenus \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🦋 Vespina \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34m \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m250566 \u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mgenus \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🐝 Vespita \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m646195 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mgenus \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🪰 Vespiodes \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34m \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m1007575\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mgenus \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🦋 Vespitinea \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pprint(taxa)"
]
},
{
"cell_type": "markdown",
"id": "b9767ea3",
"metadata": {},
"source": [
"## Searching by parent ID\n",
"Oh, that's right, it was **'Vespidae'**! Now let's find all of its subfamilies using its taxon ID\n",
"from the results above:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "1ea4e154",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" ID Rank Scientific name Common name \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" 343248 subfamily 🐝 Polistinae Paper Wasps \n",
" 84738 subfamily 🐝 Vespinae Hornets and Yellowjackets \n",
" 119344 subfamily 🐝 Eumeninae Potter and Mason Wasps \n",
" 121511 subfamily 🐝 Masarinae Pollen Wasps \n",
" 522215 subfamily 🐝 Stenogastrinae Hover Wasps \n",
" 343388 subfamily 🐝 Euparagiinae \n",
" \n",
"\n"
],
"text/plain": [
" \n",
" \u001b[1;37m \u001b[0m\u001b[1;37mID \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mRank \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mScientific name \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mCommon name \u001b[0m\u001b[1;37m \u001b[0m \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m343248\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177msubfamily\u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🐝 Polistinae \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mPaper Wasps \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m84738 \u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177msubfamily\u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🐝 Vespinae \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mHornets and Yellowjackets\u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m119344\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177msubfamily\u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🐝 Eumeninae \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mPotter and Mason Wasps \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m121511\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177msubfamily\u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🐝 Masarinae \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mPollen Wasps \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m522215\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177msubfamily\u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🐝 Stenogastrinae\u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mHover Wasps \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m343388\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177msubfamily\u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🐝 Euparagiinae \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"response = get_taxa(parent_id=52747)\n",
"pprint(response)"
]
},
{
"attachments": {
"inat-taxon-autocomplete.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "45d02c45",
"metadata": {},
"source": [
"## Autocomplete search\n",
"There is a [taxon autocomplete](https://pyinaturalist.readthedocs.io/en/stable/modules/pyinaturalist.v1.taxa.html#pyinaturalist.v1.taxa.get_taxa_autocomplete)\n",
"text search endpoint, which is intended for autocomplete interfaces like the one on iNaturalist.org:\n",
"\n",
"\n",
"\n",
"But it also provides an easy way to search the iNaturalist taxonomy database by taxon name.\n",
"Here is a quick example that will run searches from console input. Try a few different searches:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d75328ba",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"> opilio\n"
]
},
{
"data": {
"text/html": [
" \n",
" ID Rank Scientific name Common name \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" 527573 genus 🕷️ Opilio \n",
" 47367 order 🕷️ Opiliones Harvestmen \n",
" 84644 species 🕷️ Phalangium opilio European Harvestman \n",
" 527419 subfamily 🕷️ Opilioninae \n",
" 527576 species 🕷️ Opilio canestrinii Canestrini's Harvestman \n",
" 488349 species 🕷️ Rilaena triangularis Spring Harvestman \n",
" 324310 species 🕷️ Mitopus morio Saddleback Harvestman \n",
" 527483 species 🕷️ Paroligolophus agrestis \n",
" 57325 family 🕷️ Sclerosomatidae Sclerosomatid Harvestmen \n",
" 527479 species 🕷️ Oligolophus tridens \n",
" \n",
"\n"
],
"text/plain": [
" \n",
" \u001b[1;37m \u001b[0m\u001b[1;37mID \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mRank \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mScientific name \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mCommon name \u001b[0m\u001b[1;37m \u001b[0m \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m527573\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mgenus \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🕷️ Opilio \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34m \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m47367 \u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177morder \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🕷️ Opiliones \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mHarvestmen \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m84644 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mspecies \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🕷️ Phalangium opilio \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mEuropean Harvestman \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m527419\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177msubfamily\u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🕷️ Opilioninae \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m527576\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mspecies \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🕷️ Opilio canestrinii \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mCanestrini's Harvestman \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m488349\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mspecies \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🕷️ Rilaena triangularis \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mSpring Harvestman \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m324310\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mspecies \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🕷️ Mitopus morio \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mSaddleback Harvestman \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m527483\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mspecies \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🕷️ Paroligolophus agrestis\u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m57325 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mfamily \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🕷️ Sclerosomatidae \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mSclerosomatid Harvestmen\u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m527479\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mspecies \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🕷️ Oligolophus tridens \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"> coleo\n"
]
},
{
"data": {
"text/html": [
" \n",
" ID Rank Scientific name Common name \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" 372759 subclass 🐙 Coleoidea Octopuses, Squids, and Cuttlefishes \n",
" 47208 order 🪲 Coleoptera Beetles \n",
" 359229 species 🦋 Coleotechnites florae Coleotechnites Flower Moth \n",
" 126268 genus 🐞 Coleomegilla \n",
" 126267 species 🐞 Coleomegilla maculata Spotted Pink Ladybeetle \n",
" 53502 genus 🌼 Brickellia brickellbushes \n",
" 85704 family 🦋 Coleophoridae Casebearing Moths \n",
" 479709 subfamily 🦋 Coleophorinae \n",
" 87566 genus 🦋 Coleophora Casebearers \n",
" 321675 species 🦋 Coleophora mayrella Metallic Coleophora Moth \n",
" \n",
"\n"
],
"text/plain": [
" \n",
" \u001b[1;37m \u001b[0m\u001b[1;37mID \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mRank \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mScientific name \u001b[0m\u001b[1;37m \u001b[0m \u001b[1;37m \u001b[0m\u001b[1;37mCommon name \u001b[0m\u001b[1;37m \u001b[0m \n",
" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m372759\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177msubclass \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🐙 Coleoidea \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mOctopuses, Squids, and Cuttlefishes\u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m47208 \u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177morder \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🪲 Coleoptera \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mBeetles \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m359229\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mspecies \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🦋 Coleotechnites florae\u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mColeotechnites Flower Moth \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m126268\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mgenus \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🐞 Coleomegilla \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m126267\u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mspecies \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🐞 Coleomegilla maculata\u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mSpotted Pink Ladybeetle \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m53502 \u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mgenus \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🌼 Brickellia \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mbrickellbushes \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m85704 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mfamily \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🦋 Coleophoridae \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mCasebearing Moths \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m479709\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177msubfamily\u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🦋 Coleophorinae \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34m \u001b[0m\u001b[34m \u001b[0m \n",
" \u001b[2;36m \u001b[0m\u001b[2;36m87566 \u001b[0m\u001b[2;36m \u001b[0m \u001b[2;38;5;177m \u001b[0m\u001b[2;38;5;177mgenus \u001b[0m\u001b[2;38;5;177m \u001b[0m \u001b[2;32m \u001b[0m\u001b[2;32m🦋 Coleophora \u001b[0m\u001b[2;32m \u001b[0m \u001b[2;34m \u001b[0m\u001b[2;34mCasebearers \u001b[0m\u001b[2;34m \u001b[0m \n",
" \u001b[36m \u001b[0m\u001b[36m321675\u001b[0m\u001b[36m \u001b[0m \u001b[38;5;177m \u001b[0m\u001b[38;5;177mspecies \u001b[0m\u001b[38;5;177m \u001b[0m \u001b[32m \u001b[0m\u001b[32m🦋 Coleophora mayrella \u001b[0m\u001b[32m \u001b[0m \u001b[34m \u001b[0m\u001b[34mMetallic Coleophora Moth \u001b[0m\u001b[34m \u001b[0m \n",
" \n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"> exit\n"
]
}
],
"source": [
"while True:\n",
" query = input(\"> \")\n",
" if query == 'exit':\n",
" break\n",
" response = get_taxa_autocomplete(q=query)\n",
" pprint(response)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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