How to merge two dataframes side-by-side?

Question

is there a way to conveniently merge two data frames side by side?

both two data frames have 30 rows, they have different number of columns, say, df1 has 20 columns

Answer 1

• There is way, you can do it via a Pipeline.

** Use a pipeline to transform your numerical Data for ex-

Num_pipeline = Pipeline
([("select_numeric", DataFrameSelector([columns with numerical value])),
("imputer", SimpleImputer(strategy="median")),
])

**And for categorical data

cat_pipeline = Pipeline([
    ("select_cat", DataFrameSelector([columns with categorical data])),
    ("cat_encoder", OneHotEncoder(sparse=False)),
])

** Then use a Feature union to add these transformations together

preprocess_pipeline = FeatureUnion(transformer_list=[
    ("num_pipeline", num_pipeline),
    ("cat_pipeline", cat_pipeline),
])

• Read more here - https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html