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I'd greatly appreciate pipes in the next version of Python. Pandas is huge now, and the R programming language has implemented this for its dataframes. There ar
by RocketSyntax 7y ago
I'd greatly appreciate pipes in the next version of Python. Pandas is huge now, and the R programming language has implemented this for its dataframes. There are Python packages for this, but they were buggy for me.
- doubleunplussed 7y agoWhat would that mean? Just an extra syntax for passing like, the output of one iterator to a function that accepts an iterable as input? Like, syntactic sugar for: foo = qux(bar(foo(x)))
- RocketSyntax 7y agomy_df %>% plot(col1,col2,col3) see 18.2.1 and 18.2.4 in https://r4ds.had.co.nz/pipes.html https://r4ds.had.co.nz/pipes.html much sugar
- mellavora 7y agotoo much sugar can make your code diabetic. pipes are cool until they aren't
- ktpsns 7y agoThe %>% notation might not be very short, but there are other short ways of avoiding parenthesis mess as in foo = qux(bar(foo(x))). For instance, Mathematica/Wolfram language allows you to write something basically foo = qux @ bar @ foo(x) which resembles the function composition operator in mathematics (https://en.wikipedia.org/wiki/Function_composition https://en.wikipedia.org/wiki/Function_composition). Piping is basically the reverse notation, i.e. foo = foo(x) | bar | qux.