Comments (2)
Maybe more efficient:
bools = list(df.fillna(False).astype(bool).itertuples(index=False, name=None))
from concepts.
Thanks. I think this would rather be something for a recipe, because there might be too many possible options in terms of data types and coding in the pandas dataframe. But I think this is a quick one:
import concepts
import pandas as pd
CONTEXT = 'examples/relations.csv'
c = concepts.load_csv(CONTEXT)
df = pd.read_csv(CONTEXT, index_col='name')
objects = df.index.tolist()
properties = list(df)
bools = [[False if v is pd.np.nan else bool(v) for v in r] for _, r in df.iterrows()]
c_ = concepts.Context(objects, properties, bools)
assert c_ == c
from concepts.
Related Issues (8)
- You cant have a context with only one Object. HOT 1
- Saving lattice visualization to a file HOT 3
- Access to concepts themselves HOT 3
- lattice_memebers.Concept vs _common.Concept API HOT 6
- missing middle level labels ? HOT 3
- Scalable method for deserializing lattice objects? HOT 15
- Plans for lattice reduction? HOT 4
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from concepts.