Error

[aalb1970]

I'm trying to weight a datset using the following code:

import weightipy as wp

Targets

gender_targets = {'Q2':{1:49, 2:51}}
region_targets = {'Q4':{1:32, 2:23, 3:10, 4:14, 5:21}}
scheme = wp.Rim('gender_and_age')
scheme.set_targets(targets=[gender_targets, region_targets])

df["respid"] = range(len(df))
engine = wp.WeightEngine(data=df)
engine.add_scheme(scheme=scheme, key="respid", verbose=False)
engine.run()
df_weighted = engine.dataframe()
col_weights = f"weights_{scheme.name}"

respid, Q2, Q3 and Q4 are integer columns.

I get a long error message beginning with:

FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas.

Further down after a series of floating point numbers the error states:

has dtype incompatible with int64, please explicitly cast to a compatible dtype first.