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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Loading a CSV dataset

To load a dataset into the account using CARTOframes, we will use the pandas library again, which is installed with the Jupyter modules. Pandas allow us to read data from a CSV (and other file formats), loading it into a Pandas dataframe (a special data object that allows for a multitude of data-manipulation methods, as well as producing output). Then, using CartoContext, the dataframe is written (as a table) to the account:

import pandas as pdAPIKEY = "{YOUR API KEY}"cc = cartoframes.CartoContext(base_url='https://{username}.carto.com/', api_key=APIKEY)df = pd.read_csv(r'Path\to\sacramento.csv')cc.write(df, 'sacramento_addresses')

This will write the CSV table, imported as a dataframe, into the CARTO account DATASETS ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content