#5 Comment:
I fixed this issue by updating pandas:
pip install pandas==0.24.0
es = make_ecommerce_entityset()
f1 = ft.Feature(es["log"]["product_id"])
f2 = ft.Feature(es["log"]["purchased"])
f3 = ft.Feature(es["log"]["value"])
f4 = ft.Feature(es["log"]["countrycode"])
features = [f1, f2, f3, f4]
ids = [0, 1, 2, 3, 4, 5]
feature_matrix = ft.calculate_feature_matrix(features, es,
instance_ids=ids)
print(feature_matrix)
The error:
AttributeError Traceback (most recent call last)
in
1 feature_matrix = ft.calculate_feature_matrix(features, es,
----> 2 instance_ids=ids)
/anaconda/envs/azureml_py36/lib/python3.6/site-packages/featuretools/computational_backends/calculate_feature_matrix.py in calculate_feature_matrix(features, entityset, cutoff_time, instance_ids, entities, relationships, cutoff_time_in_index, training_window, approximate, save_progress, verbose, chunk_size, n_jobs, dask_kwargs, progress_callback)
281
282 # ensure rows are sorted by input order
--> 283 feature_matrix = feature_matrix.reindex(pd.MultiIndex.from_frame(cutoff_time[["instance_id", "time"]],
284 names=feature_matrix.index.names))
285
AttributeError: type object 'MultiIndex' has no attribute 'from_frame'
#5 Comment:
I fixed this issue by updating pandas:
pip install pandas==0.24.0
es = make_ecommerce_entityset()
f1 = ft.Feature(es["log"]["product_id"])
f2 = ft.Feature(es["log"]["purchased"])
f3 = ft.Feature(es["log"]["value"])
f4 = ft.Feature(es["log"]["countrycode"])
features = [f1, f2, f3, f4]
ids = [0, 1, 2, 3, 4, 5]
feature_matrix = ft.calculate_feature_matrix(features, es,
instance_ids=ids)
print(feature_matrix)
The error:
AttributeError Traceback (most recent call last)
in
1 feature_matrix = ft.calculate_feature_matrix(features, es,
----> 2 instance_ids=ids)
/anaconda/envs/azureml_py36/lib/python3.6/site-packages/featuretools/computational_backends/calculate_feature_matrix.py in calculate_feature_matrix(features, entityset, cutoff_time, instance_ids, entities, relationships, cutoff_time_in_index, training_window, approximate, save_progress, verbose, chunk_size, n_jobs, dask_kwargs, progress_callback)
281
282 # ensure rows are sorted by input order
--> 283 feature_matrix = feature_matrix.reindex(pd.MultiIndex.from_frame(cutoff_time[["instance_id", "time"]],
284 names=feature_matrix.index.names))
285
AttributeError: type object 'MultiIndex' has no attribute 'from_frame'