Too much Python in data science?

I feel like everyone’s just following the same playbook: Pandas for data wrangling, Scikit-learn for ML, Matplotlib for visuals. Meanwhile tools like R are being ignored despite their insane visualization capabilities (ggplot2 is still unmatched IMO). I don't get it.