A package for using data from Statistics Canada Web Services with python.
pip install git+https://github.com/andrewjdyck/statscanpy#egg=statscanpy
import statscanpy as scp
# Search for farm debt
search = scp.datasearch('labour force')
search.print_results()
# initialize product class for productId 14100287.
# This will download metadata for the product cube.
product = scp.Product('14100287')
# read the product metadata
meta = product.metadata
# dimensions of the product cube
dims = product.dimensions
# get details on the sub-dimensions
subdims = product.dimension_members_to_df()
# Canada's seasonally adjusted unemployment rate for ages 15+
coord = '1.7.1.1.1.1.0.0.0.0'
# Get the information about the data series
product.get_series_info(coord)
print(product.series_info)
# Retrieve the most recent 10 observations for the data series
data = product.get_coordinate_data()
import statscanpy as sc
# Initiate the class
census = sc.Census()
# Get Census profile data with default parameters
result = census.get_cpr_geo()
print(result)
# Prairies, 2016
dguid = '2016A00014'
result = census.get_cpr_geo(dguid=dguid)
# Census geographies
geos = census.get_census_geo()
# Census indicators
# Population for Canada geography
popn = census.get_census_indicator()
Statistics Canada Web Data Services: https://www.statcan.gc.ca/eng/developers/wds
User guide: https://www.statcan.gc.ca/eng/developers/wds/user-guide
Census web data services: https://www12.statcan.gc.ca/wds-sdw/index-eng.cfm
- https://www12.statcan.gc.ca/wds-sdw/cpr2016-eng.cfm
- https://www12.statcan.gc.ca/wds-sdw/cr2016geo-eng.cfm
- https://www12.statcan.gc.ca/wds-sdw/2016ind1-eng.cfm
- https://www12.statcan.gc.ca/wds-sdw/2016ind2-eng.cfm
Dissemination Geography Unique Identifier (DGUID): https://www150.statcan.gc.ca/n1/pub/92f0138m/92f0138m2019001-eng.htm
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