Writing the "query" statement to make an API call to StatBank of Statistics Norway (SSB) can be quite annoying. The functions here help forming the query string by pre-populating the query with available variables.

To get table 09189, one need to call

df_gdp = ssb_get_table('09189')

This acquires the entire table and returns it as a pandas dataframe. One can alternately call

available_vars = ssb_get_var_info('09189')

to get a dict of available variables, and then feed in updated available_var to ssb_get_table to get a subset of the available variables.

available_vars = ssb_get_var_info('09189')
# After editing available_vars
dg_gdp = ssb_get_table('09189', vars_cell = available_vars)

One can also download the table in separate chunks and put a wait time between API call by setting n_step and wait_time.

Lastly, though this is a thin wrapper around pandas.pivot function, I frequently rotate the result dataframe with

df_gdp = ssb_rotate_table(df_gdp)

to get wide table with years (ind) as indices.

• Separate example files