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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

Using Apache Arrow to load data

Using the pyarrow module and pandas, data can be written to the MapD Core database:

import pyarrow as paimport pandas as pdfrom pymapd import connectimport shapefileconnection = connect(user="mapd", password= "{password}",      host="{my.host.com}", dbname="mapd")cursor = connection.cursor()create = """CREATE TABLE juneau_addresses (   LON FLOAT, LAT FLOAT,   NUMBER VARCHAR(30),STREET VARCHAR(200) );"""cursor.execute(create)df = pd.read_csv('city_of_juneau.csv')table = pa.Table.from_pandas(df)print(table)connection.load_table_arrow("juneau_addresses", table)
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Publisher Resources

ISBN: 9781788293334Supplemental Content