geopy

26个你不知道的Python技巧

由 我的梦境 提交于 2020-04-25 14:30:10
Python是目前世界上最流行的编程语言之一。因为: 1.它容易学习 2.它用途超广 3.它有非常多的开源支持（大量的模块和库） 不好意思，优达菌又啰嗦了。 本文作者 Peter Gleeson 是 一名数据科学家，日常工作几乎离不开python。一路走来，他积累了不少有用的技巧和tips，现在优达菌就将这些技巧分享给大家。这些技巧将根据其首字母按A-Z的顺序进行展示。 all or any Python之所以成为这么一门受欢迎的语言一个原因是它的可读性和表达能力非常强。Python也因此经常被调侃为“可执行的伪代码”。不信你看: x = [True, True, False] if any(x): print ( " At least one True " ) if all(x): print ( " Not one False " ) if any(x) and not all(x): print ( " At least one True and one False " ) bashplotlib 你想要在控制台绘图嘛？ $ pip install bashplotlib 现在，你的控制台中就可以有图了 collections Python有一些很棒的默认数据类型，但是有时候他们并不会像你所希望的那样发挥作用。 幸运的是，Python 标准库提供了collection模块

How to use Vectorization with NumPy arrays to calculate geodesic distance using Geopy library for a large dataset?

由 核能气质少年 提交于 2020-03-14 11:04:39
问题 I am trying to calculate geodesic distance from a dataframe which consists of four columns of latitude and longitude data with around 3 million rows. I used the apply lambda method to do it but it took 18 minutes to finish the task. Is there a way to use Vectorization with NumPy arrays to speed up the calculation? Thank you for answering. My code using apply and lambda method: from geopy import distance df['geo_dist'] = df.apply(lambda x: distance.distance( (x['start_latitude'], x['start

geopy使用详解

由 好久不见. 提交于 2020-03-01 23:08:37
geopy使用详解 　　由于专业需要，经常接触一些地理处理的工具包，文档都是英文的，自己看的同时将其翻译一下，一方面自己学习的同时有个记录，要是能同时给一起的学习的童鞋们一些帮助，想想也是极好的。以下的文档内容主要翻译自 官方文档 ，水平有限，错误的地方希望大家指出。 　　处理地理数据经常会涉及到地理编码的问题。地理编码指的是将地理信息转化成坐标关系的过程。分为正向和反向的编码。正向的是指将地址信息转换为坐标点，比如： 武汉市武汉大学-->(114.3594147, 30.5401222) ；反向地理编码就是将地理坐标转换为具体的地址，是一个与前面相反的过程。 　　基于python的地理编码库geopy 是用于地理编码的常用工具，使用它 可获取多种地图服务的坐标。目前Python2和Python3下都支持。Python开发者可以使用geopy很容易的获取全球的某个街道地址，城市， 国家和地块的地理坐标，它是通过第三方的地理编码器和数据源来解析的。 geopy可以使用的地理定位服务如下： OpenStreetMapNominatim , ESRIArcGIS , GoogleGeocodingAPI(V3) , BaiduMaps , BingMapsAPI , Yahoo!PlaceFinder , Yandex , IGNFrance , GeoNames , NaviData

Geopy: retrieving country names in English

由 隐身守侯 提交于 2020-02-20 09:52:21
问题 I am trying to reverse geocode coordinates and retrieve corresponding country codes using geopy. However, Geopy does not seem to provide a method for fetching country codes. So, I am trying to retrieve country names first, and then convert them to codes. Unfortunately, my code gives me country names in non-English languages. How can I fetch country names in English ? My code: geolocator = Nominatim() .... with open('coordinates.txt' , 'r') as readfile: for line in readfile: fields = line

Python geopy geocoders.Google

由 守給你的承諾、 提交于 2020-01-24 00:31:32
问题 I am trying to run a Python script using Geopy that creates a list of coordinates. I have installed Geopy, and am running from Terminal on a Mac. python from geopy import geocoders import csv g_api_key = 'I HAVE ENTERED MY GOOGLE API HERE’ g = geocoders.Google(g_api_key) I then get the error message: Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'module' object has no attribute 'Google' Could my API key be wrong? Why is this happening? If I didn't

Bearing between two points

由 别来无恙 提交于 2020-01-22 12:43:29
问题 Ive been using the geopy package , which does a great job, however some of the results i get are inconsistant or come with a relatively large displacement, i suspect that the problem resides with my bearing calculation: def gb(x,y,center_x,center_y): dx=x-center_x dy=y-center_y if ((dy>=0)and((dx>0)or(dx<0))): return math.degrees(math.atan2(dy,dx)) elif (dy<=0)and((dx>0)or (dx<0)): return (math.degrees(math.atan2(dy,dx))+360) else: return (math.degrees(math.atan2(dy,dx))+360)%360 I need to

Bearing between two points

由 只愿长相守 提交于 2020-01-22 12:43:26
问题 Ive been using the geopy package , which does a great job, however some of the results i get are inconsistant or come with a relatively large displacement, i suspect that the problem resides with my bearing calculation: def gb(x,y,center_x,center_y): dx=x-center_x dy=y-center_y if ((dy>=0)and((dx>0)or(dx<0))): return math.degrees(math.atan2(dy,dx)) elif (dy<=0)and((dx>0)or (dx<0)): return (math.degrees(math.atan2(dy,dx))+360) else: return (math.degrees(math.atan2(dy,dx))+360)%360 I need to

Using geopy with password authenticated proxy

由 孤街浪徒 提交于 2020-01-15 11:07:49
问题 I'm trying to use geopy with a set of coordinates and everything works fine at first. from geopy.geocoders import GoogleV3 # some coordinates as example latitude, longitude = 24.47646, 85.3095 geolocator = GoogleV3() location = geolocator.geocode('%s, %s' (latitude, longitude)) address = location.address print address # this would print something like Unnamed Road, Burhia Ahri, Jharkand 825406, India The enviroment I'm working on requires an authenticated proxy, for example purposes let's say

Using geopy with password authenticated proxy

由 ぐ巨炮叔叔 提交于 2020-01-15 11:04:08
问题 I'm trying to use geopy with a set of coordinates and everything works fine at first. from geopy.geocoders import GoogleV3 # some coordinates as example latitude, longitude = 24.47646, 85.3095 geolocator = GoogleV3() location = geolocator.geocode('%s, %s' (latitude, longitude)) address = location.address print address # this would print something like Unnamed Road, Burhia Ahri, Jharkand 825406, India The enviroment I'm working on requires an authenticated proxy, for example purposes let's say

When calcuating distance between points on earth why are my Haversine vs. Geodesic calculations diverging?

由 拈花ヽ惹草 提交于 2020-01-04 02:39:11
问题 I am getting wildly diverging distances using two approximations to calculate distance between points on Earth's surface. I am using the Haversine (vectorized) approximation and the more precise (presumably) geopy.distance.geodesic . As you can see I am off by five percent as the distances between points becomes large. Is this divergence due to rounding error in Haversine? Do I indeed trust the Geodesic? Here is code: import numpy as np lat = np.linspace(35,45,100) lon = np.linspace(-120,-110
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