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|
%global _empty_manifest_terminate_build 0
Name: python-LMIPy
Version: 0.6.2
Release: 1
Summary: Pythonic interface to various backend ecosystems related geospatial data.
License: MIT
URL: https://github.com/Vizzuality/LMIPy
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/37/da/721f1abf00f1583b0edc48553286c9fd1c9cb164db00ca82941c34c54320/LMIPy-0.6.2.tar.gz
BuildArch: noarch
Requires: python3-requests
Requires: python3-pypng
Requires: python3-folium
Requires: python3-geopandas
Requires: python3-geojson
Requires: python3-tqdm
%description
# LMIPy
## The Vizzuality Ecosystem Python Interface
[](https://travis-ci.org/Vizzuality/LMIPy) [](https://codecov.io/gh/Vizzuality/LMIPy) [](https://pypi.org/project/LMIPy/)   [](https://lmipy.readthedocs.io/en/latest/?badge=latest) [](https://github.com/Vizzuality/LMIPy/blob/master/LICENSE)
LMIPy is a Python library with hooks to Jupyter, backed by the [Skydipper API](https://github.com/Skydipper).
It provides many functions related to adding, analysing and working with open geospatial datasets.
## Read the Docs
[Read the docs pages](https://lmipy.readthedocs.io/en/latest/).
## 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 the docs for more info!
%package -n python3-LMIPy
Summary: Pythonic interface to various backend ecosystems related geospatial data.
Provides: python-LMIPy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-LMIPy
# LMIPy
## The Vizzuality Ecosystem Python Interface
[](https://travis-ci.org/Vizzuality/LMIPy) [](https://codecov.io/gh/Vizzuality/LMIPy) [](https://pypi.org/project/LMIPy/)   [](https://lmipy.readthedocs.io/en/latest/?badge=latest) [](https://github.com/Vizzuality/LMIPy/blob/master/LICENSE)
LMIPy is a Python library with hooks to Jupyter, backed by the [Skydipper API](https://github.com/Skydipper).
It provides many functions related to adding, analysing and working with open geospatial datasets.
## Read the Docs
[Read the docs pages](https://lmipy.readthedocs.io/en/latest/).
## 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 the docs for more info!
%package help
Summary: Development documents and examples for LMIPy
Provides: python3-LMIPy-doc
%description help
# LMIPy
## The Vizzuality Ecosystem Python Interface
[](https://travis-ci.org/Vizzuality/LMIPy) [](https://codecov.io/gh/Vizzuality/LMIPy) [](https://pypi.org/project/LMIPy/)   [](https://lmipy.readthedocs.io/en/latest/?badge=latest) [](https://github.com/Vizzuality/LMIPy/blob/master/LICENSE)
LMIPy is a Python library with hooks to Jupyter, backed by the [Skydipper API](https://github.com/Skydipper).
It provides many functions related to adding, analysing and working with open geospatial datasets.
## Read the Docs
[Read the docs pages](https://lmipy.readthedocs.io/en/latest/).
## 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 the docs for more info!
%prep
%autosetup -n LMIPy-0.6.2
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-LMIPy -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.2-1
- Package Spec generated
|
