On the whole, the code for operations of pandas' df is more concise than R's df. 1. Slicing R R is easy to access data.frame columns by name. df <- data. read more
In R you might want to get the rows of a data.frame where one column’s values are less than another column’s values: df <- data.frame(a=rnorm(10), b=rnorm(10)) subset(df, a <= b) df[df$a <= df$b,] # note the comma Pandas In pandas, there are a few ways to perform subsetting. read more