Unfortunately, scikit-learn Python library Class Imputer is now deprecated and the replacement does not include an axis parameter. Here’s a work-around.
Adding temporary print statements to troubleshoot Python code is quick and dirty. And messy. Incorporating logging into your code habit is a great alternative to relying on ad-hoc print statements that just need to get deleted later.
Save a Google Colab notebook to another format, such as HTML or PDF.
Use p2j to convert Python source code to Jupyter Notebook.
(df1.dtypes == df2.dtypes).all()
df[‘column’] = df[‘column’].astype(float) # bool, float, int, str