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%global _empty_manifest_terminate_build 0
Name: python-geonamescache
Version: 1.5.0
Release: 1
Summary: Geonames data for continents, cities and US states.
License: MIT
URL: https://github.com/yaph/geonamescache
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e4/76/add99bb59fe8ff84fc7ba61a1e10a19e72507d7a31e6985d96c737bc72f7/geonamescache-1.5.0.tar.gz
BuildArch: noarch
%description
# GeonamesCache
[](https://pypi.python.org/pypi/geonamescache)
A Python library that provides functions to retrieve names, ISO and FIPS codes of continents, countries as well as US states and counties as Python dictionaries. The country and city datasets also include population and geographic data.
Geonames data is obtained from [GeoNames](http://www.geonames.org/).
## Installation
pip install geonamescache
## Usage
A simple usage example:
import geonamescache
gc = geonamescache.GeonamesCache()
countries = gc.get_countries()
# print countries dictionary
print(countries)
# you really wanna do something more useful with the data...
## Settings
### Cities dataset
When creating a `GeonamesCache` you can set the `min_city_population` parameter to either of 500, 1000, 5000 or the default 15000. The smaller the minimum popluation the more cities are included in the cities dataset.
*New in version 1.4*
## Methods
Currently geonamescache provides the following methods, that return dictionaries with the requested data:
* get\_continents()
* get\_countries()
* get\_us\_states()
* get\_cities()
* get\_countries\_by\_names()
* get\_us\_states\_by\_names()
* get\_cities\_by\_name(name)
* get\_us\_counties()
In addition you can search for cities by name.
* search\_cities(\'NAME\', case\_sensitive=True)
This function returns a list of city records that match the given `NAME`.
* By default the `alternatenames` attribute is searched for matches.
* By default the search is case sensitive, it can be made case insensitive by changing `case_sensitive` to False.
## Mappers
The mappers module provides function(s) to map data properties. Currently you can create a mapper that maps country properties, e. g. the `name` property to the `iso3` property, to do so you\'d write the following code:
from geonamescache.mappers import country
mapper = country(from_key='name', to_key='iso3')
iso3 = mapper('Spain') # iso3 is assigned ESP
## Contributing
Please write test(s) for any new feature. If you wish to build the data from scratch, run `make dl` and `make json`.
%package -n python3-geonamescache
Summary: Geonames data for continents, cities and US states.
Provides: python-geonamescache
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-geonamescache
# GeonamesCache
[](https://pypi.python.org/pypi/geonamescache)
A Python library that provides functions to retrieve names, ISO and FIPS codes of continents, countries as well as US states and counties as Python dictionaries. The country and city datasets also include population and geographic data.
Geonames data is obtained from [GeoNames](http://www.geonames.org/).
## Installation
pip install geonamescache
## Usage
A simple usage example:
import geonamescache
gc = geonamescache.GeonamesCache()
countries = gc.get_countries()
# print countries dictionary
print(countries)
# you really wanna do something more useful with the data...
## Settings
### Cities dataset
When creating a `GeonamesCache` you can set the `min_city_population` parameter to either of 500, 1000, 5000 or the default 15000. The smaller the minimum popluation the more cities are included in the cities dataset.
*New in version 1.4*
## Methods
Currently geonamescache provides the following methods, that return dictionaries with the requested data:
* get\_continents()
* get\_countries()
* get\_us\_states()
* get\_cities()
* get\_countries\_by\_names()
* get\_us\_states\_by\_names()
* get\_cities\_by\_name(name)
* get\_us\_counties()
In addition you can search for cities by name.
* search\_cities(\'NAME\', case\_sensitive=True)
This function returns a list of city records that match the given `NAME`.
* By default the `alternatenames` attribute is searched for matches.
* By default the search is case sensitive, it can be made case insensitive by changing `case_sensitive` to False.
## Mappers
The mappers module provides function(s) to map data properties. Currently you can create a mapper that maps country properties, e. g. the `name` property to the `iso3` property, to do so you\'d write the following code:
from geonamescache.mappers import country
mapper = country(from_key='name', to_key='iso3')
iso3 = mapper('Spain') # iso3 is assigned ESP
## Contributing
Please write test(s) for any new feature. If you wish to build the data from scratch, run `make dl` and `make json`.
%package help
Summary: Development documents and examples for geonamescache
Provides: python3-geonamescache-doc
%description help
# GeonamesCache
[](https://pypi.python.org/pypi/geonamescache)
A Python library that provides functions to retrieve names, ISO and FIPS codes of continents, countries as well as US states and counties as Python dictionaries. The country and city datasets also include population and geographic data.
Geonames data is obtained from [GeoNames](http://www.geonames.org/).
## Installation
pip install geonamescache
## Usage
A simple usage example:
import geonamescache
gc = geonamescache.GeonamesCache()
countries = gc.get_countries()
# print countries dictionary
print(countries)
# you really wanna do something more useful with the data...
## Settings
### Cities dataset
When creating a `GeonamesCache` you can set the `min_city_population` parameter to either of 500, 1000, 5000 or the default 15000. The smaller the minimum popluation the more cities are included in the cities dataset.
*New in version 1.4*
## Methods
Currently geonamescache provides the following methods, that return dictionaries with the requested data:
* get\_continents()
* get\_countries()
* get\_us\_states()
* get\_cities()
* get\_countries\_by\_names()
* get\_us\_states\_by\_names()
* get\_cities\_by\_name(name)
* get\_us\_counties()
In addition you can search for cities by name.
* search\_cities(\'NAME\', case\_sensitive=True)
This function returns a list of city records that match the given `NAME`.
* By default the `alternatenames` attribute is searched for matches.
* By default the search is case sensitive, it can be made case insensitive by changing `case_sensitive` to False.
## Mappers
The mappers module provides function(s) to map data properties. Currently you can create a mapper that maps country properties, e. g. the `name` property to the `iso3` property, to do so you\'d write the following code:
from geonamescache.mappers import country
mapper = country(from_key='name', to_key='iso3')
iso3 = mapper('Spain') # iso3 is assigned ESP
## Contributing
Please write test(s) for any new feature. If you wish to build the data from scratch, run `make dl` and `make json`.
%prep
%autosetup -n geonamescache-1.5.0
%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-geonamescache -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.0-1
- Package Spec generated
|
