#Tableau prep builder download how to

Great we have the coordinates, lets translate this into a Python code that we can use in Prep Builder The python script in the context of Prep Builder Lets print json_data to see what we are getting back from the API print(json_data) I start by importing the following packages import herepy import pandas as pd import json from tabpy_client import ClientĬonnect to the GeocoderApi and define my API key geocoderApi = herepy.GeocoderApi()ĭefine Country, City and Street Country = 'Sweden' City = 'Stockholm' Street = 'Kungsgatan 1'Ĭombine Country, City and Street Adress to a string and submit it to the geocoderAPI adress = Street + ',' + City + ',' + Country getCoordinates = ee_form(adress) json_data = json.loads(str(getCoordinates)) It translates the combination of Country, Street, Street address and returns a set of coordinates (Longitude, Latitude) for the location.

I wrote the following python script that connects to the Here API. Preview The Python Script without Prep Builder If you do not have Prep Builder go ahead and download it from hereĬlick Connect to Data (or the + sign Right of Connections)

#Tableau prep builder download how to

Many of my colleagues and customers like to use the popular Google geocoding API (my colleague Alex Eskinasy wrote a great article on how to use it with Prep Builder) but in this article, I will be using the Here API (s ign up here). You can install TabPy by running the PIP command: pip install tabpy To execute Python code in Tableau you have to connect to an instance of TabPy. Tableau Prep Builder introduced the integration with Python and R back in 2019.3 and in this article, I want to demonstrate how to leverage that integration to solve my problem. To do this you can use the Python integration to call an external service to resolve a street address to a coordinate. I have a list of customer addresses that I want to plot on a map in Tableau, but… Country,City,Street Sweden,Stockholm,Kungsgatan 1 Denmark,Copenhagen,Nyhavn 5 Finland,Helsinki,Runeberginkatu 2 Norway,Oslo,Stranden 15Īs you already might know Tableau has built-in geocoding down to the zip/postcode level but it can not resolve a street address on a map.