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View Code? Open in Web Editor NEWCheatsheet for basic Dataframe operations in R, Julia and Python
Cheatsheet for basic Dataframe operations in R, Julia and Python
Instead of doing this:
using DataFrames
u_col_names=[symbol("user_id"), symbol("age"), symbol("sex"), symbol("occupation"), symbol("zip_code")]
###
#another way to do the same without adding each entry as a symbol. Thanks to [Jubobs](http://stackoverflow.com/users/2541573/jubobs) from this [stackoverflow post](http://stackoverflow.com/questions/27629206/why-does-this-list-comprehension-return-an-arrayany-1-instead-of-an-arraysymb/27629609#27629609) for the suggestion.
col_names=["user_id", "age", "sex", "occupation", "zip_code"]
u_col_names=map(symbol, col_names)
###
users = DataFrames.readtable("data/ml-100k/u.user", separator='|', header=false, names=u_col_names)
You can simply do this because you are already hard coding the names:
u_col_names=[:user_id, :age, :sex, :occupation, :zip_code]
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