Statistics Norway has got three external APIs. The most important one is the API:Create your own dataset or PxWebApi. Here are examples on how to use the APIs from Python.

The plan is to give all examples both in Norwegian and in English.

• The Norsk / in English a very basic example on Index of retail sales towards .
• Norsk / English Import a readymade CSV dataset, Main Economic Forecasts, to Pandas. Shows basic plots using Pandas plot and Plotly Express.

• Norsk / English http POST example, combines two datasets from two Statbank tables using Pandas pivot, and plot them using Matplotlib.

• Konkurs-datokonv / English shows the use of a general function for converting the time variable from category to date, and the difference of the two in two plots. The table used is on weekly bankruptcies.

• nr-dateconv-nor / English shows posting of the same query for GDP changes to tables with different frequency, and the use of the function dateconv() which converts from Categories to dateformat and set a Pandas PeriodIndex.

• text-code / English shows how to get both text and code from JSON-stat. Example using HS-code from monthly Foreign trade by country.

• Laks-no / English is a basic example on using http POST to query API:Create your own datasets or PxWebApi.

• Klasskommune examples on how to get classifications, versions, changes, correspondence tables and variants.
• KOSTRA arter og funksjoner hvordan hente og filtrere KOSTRA arter og funksjoner med definisjoner via Klass API (KOSTRA - Municipality-State-Reporting)

Using R? Try our R-package PxWebApiData