The package is imported using
from fython import fame_to_pandas, fame_to_csv
To load data from Fame-databases into a Pandas DataFrame, use
df = fame_to_pandas(['path/to/database1', 'path/to/database2', ...], 'q', '2023:1', '2024:4', 'your_search_query')
To load write data from Fame-databases to a csv-file, use
fame_to_csv(['path/to/database1', 'path/to/database2', ...], 'q', '2023:1', '2024:4', 'your_search_query', 'path/to/csv-file')
The search query should containg text and/or the wildcards "?" and/or "^" (any number of characters and exactly one character, respectively).
Both functions have an optional decimals
option (default is 10). fame_to_pandas
has the option dtype
(default is np.float128
).
- python-versions = ">=3.6,<4.0"
- pandas = ">=1.1.5"
pip install ssb-fame-to-python
Contributions are very welcome. To learn more, see the Contributor Guide.
Distributed under the terms of the MIT license, SSB Fame To Python is free and open source software.
If you encounter any problems, please file an issue along with a detailed description.
This project was generated from Statistics Norway's SSB PyPI Template.