LMIPy 0.1.2

Interface to data and layers in the Resource Watch API

LMIPy

The Layer Manager Interface for Python

LMIPy is a python abstraction to the Layer Manager.

Currently this software is not ready for use.

Read the Docs

Read the docs pages.

Installation

pip install LMIPy

Use

$ python
>>> import LMIPy

Create a Dataset object based on an existing ID on default (RW) server.

>>> ds = Dataset('044f4af8-be72-4999-b7dd-13434fc4a394')
>>> print(ds)
Dataset 044f4af8-be72-4999-b7dd-13434fc4a394

Create a Layer object based on an existing ID on default (RW) server.

>>> ly = Layer(id_hash='dc6f6dd2-0718-4e41-81d2-109866bb9edd')
>>> print(ly)
Layer dc6f6dd2-0718-4e41-81d2-109866bb9edd

Create a Table object based on an existing ID.

>>> table = Table('fbf159d7-a462-4af3-8228-43ee3e3391e7')
# return the head of the table as a geopandas dataframe
>>> df = table.head(5)
# return a query of the table as a geopandas dataframe
>>> result = table.query(sql='SELECT count(*) as my_count FROM data WHERE year > 1991 and year < 1995' )

Obtain a collection of objects using a search term.

>>> col = Collection(search='tree',object_type=['dataset'], app=['gfw'],limit=5)
>>> print(col)
[Dataset 70e2549c-d722-44a6-a8d7-4a385d78565e,
 Dataset 897ecc76-2308-4c51-aeb3-495de0bdca79,
 Dataset 89755b9f-df05-4e22-a9bc-05217c8eafc8,
 Dataset 83f8365b-f40b-4b91-87d6-829425093da1,
 Dataset 044f4af8-be72-4999-b7dd-13434fc4a394]

Check back soon as this library is under development.