nimare.utils.dict_to_df
- dict_to_df(id_df, data, key='labels')[source]
Load a given data type in NIMADS-format dictionary into DataFrame.
- Parameters
id_df (
pandas.DataFrame) – DataFrame with columns for identifiers. Index is [studyid]-[expid].data (
dict) – NIMADS-format dictionary storing the raw dataset, from which relevant data are loaded into DataFrames.key ({‘labels’, ‘metadata’, ‘text’, ‘images’}) – Which data type to load.
- Returns
df (
pandas.DataFrame) – DataFrame with id columns from id_df and new columns for the requested data type.