Practical demonstration of VarianceThreshold() without string columns

variancethreshold.py

# import the required library
from sklearn.feature_selection import VarianceThreshold

# define the transform
# default threshold parameter is 0, can be set to any float value. All features with variance below this threshold will be removed
selector = VarianceThreshold(threshold = 0)

# fit the defined transform on training dataset
selector.fit(X_train)

# transform the training dataset and save as a new DF (don't forget to transform the test dataset as well)
X_train_clean = pd.DataFrame(selector.transform(X_train), columns = X_train.columns[selector.get_support(indices=False)])