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Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

Resources

Stars

0 stars

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0 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

Resources

Stars

0 stars

Watchers

0 watching

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Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

Resources

Stars

0 stars

Watchers

0 watching

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Packages

Used by

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Geonames Cache

https://travis-ci.org/yaph/geonamescache.png?branch=master

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.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_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...

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')

This function returns a list of city records that match the given NAME. By default the alternatenames attribute is searched for matches.

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

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, run make dl and make tojson.

About

geonamescache - a Python library for quick access to a subset of GeoNames data.

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