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| author | TAMARA JERINIC <tamara.jerinic@gmail.com> | 2022-05-03 21:28:57 +0200 |
|---|---|---|
| committer | TAMARA JERINIC <tamara.jerinic@gmail.com> | 2022-05-03 21:28:57 +0200 |
| commit | f32ec4fe8ae54f2154fa3393040a07cdb579b07f (patch) | |
| tree | 32ae884f34acf6ecdcefb010f24b5b70ce431eba /backend/microservice/api/controller.py | |
| parent | 5a8691915071483da3bcccc80839fadd5872eaf2 (diff) | |
Usklađen izbor kategorijskih kolona na frontu sa ml servisom.
Diffstat (limited to 'backend/microservice/api/controller.py')
| -rw-r--r-- | backend/microservice/api/controller.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/backend/microservice/api/controller.py b/backend/microservice/api/controller.py index fad6e181..41035cc7 100644 --- a/backend/microservice/api/controller.py +++ b/backend/microservice/api/controller.py @@ -120,9 +120,9 @@ def returnColumnsInfo(): #samo 10 jedinstvenih posto ih ima previse, bilo bi dobro da promenimo ovo da to budu 10 najzastupljenijih vrednosti for col in preprocess["columnInfo"]: - col["uniqueValues"] = col["uniqueValues"][0:5] - col["uniqueValuesCount"] = col["uniqueValuesCount"][0:5] - col['uniqueValuesPercent']=col['uniqueValuesPercent'][0:5] + col["uniqueValues"] = col["uniqueValues"][0:6] + col["uniqueValuesCount"] = col["uniqueValuesCount"][0:6] + col['uniqueValuesPercent']=col['uniqueValuesPercent'][0:6] dataset["columnInfo"] = preprocess["columnInfo"] dataset["nullCols"] = preprocess["allNullColl"] dataset["nullRows"] = preprocess["allNullRows"] |