Pandas function Python script


I have been doing a python script to replace missing values with 0.
My code is the following:

df = input_table_1.copy()

select only useful features

useful_cols = [‘features’ ]
df = pd.DataFrame(data = df[useful_cols])

replace missing data with 0

df = df.fillna(0)
output_table_1 = df

However, when I see the the results in Table. I continue with NULL in the data.

@sebas_sarasti welcome to the KNIME forum.

Maybe you can provide a sample workflow. I will have to see if I can find one.

You could handle missing values and column filters in knime itself:

You seem to be using an older python integration and might be interested in the new one


@sebas_sarasti you can test this example:

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