idigbio 0.8.5

Examples

View a Record By UUID

import idigbio
api = idigbio.json()
record = api.view("records","1db58713-1c7f-4838-802d-be784e444c4a")

Search for a Record by scientific name

import idigbio
api = idigbio.json()
record_list = api.search_records(rq={"scientificname": "puma concolor"})

Search for Records that have images

import idigbio
api = idigbio.json()
record_list = api.search_records(rq={"scientificname": "puma concolor", "hasImage": True})

Search for a MediaRecords by record property

import idigbio
api = idigbio.json()
mediarecord_list = api.search_media(rq={"scientificname": "puma concolor", "hasImage": True})

Create a heat map for a genus

import idigbio
api = idigbio.json()
m = api.create_map(rq={"genus": "acer"}, t="geohash")
m.save_map_image("acer_map_geohash", 2)

Create a point map for a genus

import idigbio
api = idigbio.json()
m = api.create_map(rq={"genus": "acer"}, t="points")
m.save_map_image("acer_map_points", 2)

Create a zoomed in point map for a bounding box

import idigbio
api = idigbio.json()
bbox = {"type": "geo_bounding_box", "bottom_right": {"lat": 29.642979999999998, "lon": -82.00}, "top_left": {"lat": 29.66298, "lon": -82.35315800000001}}
m = api.create_map(
    rq={"geopoint": bbox}
)
m.save_map_image("test.png", None, bbox=bbox)

Create a summary of kingdom and phylum data

import idigbio
api = idigbio.json()
summary_data = api.top_records(fields=["kingdom", "phylum"])

Get the number of Records for a search by scientific name

import idigbio
api = idigbio.json()
count = api.count_records(rq={"scientificname": "puma concolor"})

Get the number of MediaRecords for a search by scientific name

import idigbio
api = idigbio.json()
count = api.count_media(rq={"scientificname": "puma concolor"})

Get the histogram of Collection Dates for a search by record property, for the last 10 years

import idigbio
api = idigbio.json()
histogram_data = api.datehist(
    rq={"scientificname": "puma concolor"},
    top_fields=["institutioncode"], min_date="2005-01-01")

Development

To contribute code to this project, please submit a pull request to the repo on github:

https://github.com/idigbio/idigbio-python-client/

To set up a development environment, run the following from inside a python virtual environment in your local repo directory:

pip install -e .

0.8.5 (2018-03-16)

New

• add debug command-line option

0.8.4 (2017-06-07)

New

• add full-featured example script fetch_media.py to download media from iDigBio

• add documentation for fetch_media

Changes

• remove fetch_media_based_on_query.py which is superceded by fetch_media.py

0.8.3.3 (2017-05-17)

New

• add an example to examples directory to download media based on search query

Changes

• minor changes to documentation, unit tests

• remove hard-coded path to tmp directory

0.8.2 (2017-05-10)

New

• count_recordsets() function returns number of recordsets in iDigBio

0.8.1 (2016-08-29)

• Send etag with file on upload to verify correctness

0.6.1 (2016-04-08)

Changes

• Add media_type to upload functionality.

0.6.0 (2016-03-30)

Changes

• Make pandas an extra requirements, update docs

New

• Specify auth for api backend

• Upload image capability (requires auth)

0.5.0 (2016-02-24)

Changes

• Don’t exclude data.* fields if requested specifically

• Fix stats and datehist api calls to respect parameters; param names changed to use python style and match server params.

0.4.3 (2016-02-23)

Bugfixes

• no results no longer errs in the pandas client.

• limit correctly limits to specified record, not next larger batch size

Miscellaneous

• Clarify targetted python versions