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Convert data. frame column format from character to factor The complete conversion of every character variable to factor usually happens when reading in data, e g , with stringsAsFactors = TRUE, but this is useful when say, you've read data in with read_excel() from the readxl package and want to train a random forest model that doesn't accept character variables
Convert all data frame character columns to factors Given a (pre-existing) data frame that has columns of various types, what is the simplest way to convert all its character columns to factors, without affecting any columns of other types? Here's an
Why use as. factor () instead of just factor () - Stack Overflow ‘factor(x, exclude = NULL)’ applied to a factor without ‘NA’s is a no-operation unless there are unused levels: in that case, a factor with the reduced level set is returned ‘as factor’ coerces its argument to a factor It is an abbreviated (sometimes faster) form of ‘factor’ Performance: as factor > factor when input is a factor The word "no-operation" is a bit ambiguous
r - Convert factor to integer - Stack Overflow Does anyone know of a way to coerce a factor into an integer? Using as character() will convert it to the correct character, but then I cannot immediately perform an operation on it, and as integer() or as numeric() will convert it to the number that system is storing that factor as, which is not helpful
Variance Inflation Factor in Python - Stack Overflow I'm trying to calculate the variance inflation factor (VIF) for each column in a simple dataset in python: a b c d 1 2 4 4 1 2 6 3 2 3 7 4 3 2 8 5 4 1 9 4 I have
Changing plot scale by a factor in matplotlib - Stack Overflow 45 I am creating a plot in python Is there a way to re-scale the axis by a factor? The yscale and xscale commands only allow me to turn log scale off Edit: For example If I have a plot where the x scales goes from 1 nm to 50 nm, the x scale will range from 1x10^ (-9) to 50x10^ (-9) and I want it to change from 1 to 50
r - How to convert a factor to integer\numeric without loss of . . . See the Warning section of ?factor: In particular, as numeric applied to a factor is meaningless, and may happen by implicit coercion To transform a factor f to approximately its original numeric values, as numeric(levels(f))[f] is recommended and slightly more efficient than as numeric(as character(f)) The FAQ on R has similar advice
Pandas - make a column dtype object or Factor - Stack Overflow In pandas, how can I convert a column of a DataFrame into dtype object? Or better yet, into a factor? (For those who speak R, in Python, how do I as factor()?) Also, what's the difference between