# -*- coding: utf-8 -*-
"""
theoryinfo.py
Actions for displaying theory info for one or more theories.
"""
from pandas import DataFrame
from nnpdf_data.theorydbutils import fetch_all, fetch_theory
from reportengine.table import table
[docs]@table
def all_theory_info_table(theory_database):
"""Produces a DataFrame with all theory info and saves it
Returns
-------
all_theory_info_table: pd.Dataframe
dataframe filled with all entries in theorydb file
Example
-------
>>> from validphys.api import API
>>> df = API.all_theory_info_table()
>>> df['Comments'].iloc[:5]
ID
1 3.0 LO benchmark
2 3.0 NLO benchmark
3 3.0 NNLO benchmark
4 3.0 NLO - Q0=1.3 For IC Test
5 3.0 NNLO - Q0=1.3 For IC Test
Name: Comments, dtype: object
"""
return fetch_all(theory_database)
[docs]@table
def theory_info_table(theory_database, theory_db_id):
"""fetches theory info for given `theory_db_id` constructs DataFrame from it
Parameters
----------
theory_db_id: int
numeric identifier of theory to be queried. Can be specified at the
runcard level.
Returns
-------
theory_info_table: pd.Dataframe
dataframe filled with theory info for specified `theory_db_id`
Example
-------
>>> from validphys.api import API
>>> df = API.theory_info_table(theory_db_id=53)
>>> df.loc['Comments']
Info for theory 53 NNPDF3.1 NNLO central
Name: Comments, dtype: object
"""
res_dict = fetch_theory(theory_database, theory_db_id)
res_df = DataFrame(
list(res_dict.values()), index=res_dict.keys(), columns=[f'Info for theory {theory_db_id}']
)
return res_df