Data wrangling
Use missing values imputer on new data
Use previously fitted imputer on new data.
pandasmissing-values
Required packages
You need below packages to use the code generated by recipe. All packages are automatically installed in MLJAR Studio.
pandas>=1.0.0
scikit-learn>=1.0.0
Interactive recipe
You can use below interactive recipe to generate code. This recipe is available in MLJAR Studio.
In the below recipe, we assume that you have following variables available in your notebook:
- simple_imputer (type SimpleImputer)
- knn_imputer (type KNNImputer)
- df_1 (type DataFrame)
- df_2 (type DataFrame)
Python code
# Python code will be hereData wrangling cookbook
Code recipes from Data wrangling cookbook.
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- Fill missing values