Python, Numpy, Pandas is very inconsistent in comparison to R. For example, calculating and adding a column to existing dataframe using df.assign.
Coming from R, working in Python Pandas world, I am constantly googling, and checking the results of each command to make sure no errors and consistent output.
Comments
Can you give an example of something you have to do all the time in Python that's a lot nicer in R?
Python, Numpy, Pandas is very inconsistent in comparison to R. For example, calculating and adding a column to existing dataframe using df.assign.
Coming from R, working in Python Pandas world, I am constantly googling, and checking the results of each command to make sure no errors and consistent output.