Math func¶
Applies a mathematical function to the values of a (single) numeric column.
See numpy's documentation for further details about the supported functions.
Usage¶
The following are the step's expected inputs and outputs and their specific types.
math_func(input: number, {
"param": value
}) -> (output: number)
where the object {"param": value} is optional in most cases and if present may contain any of the parameters described in the
corresponding section below.
Example¶
To calculate the logarithm of a column's values:
math_func(ds.input, {"func": "log"}) -> (ds.output)
More examples
Or to calculate the absolute (distance from 0, |x|) of a column's values:
math_func(ds.input, {"func": "absolute"}) -> (ds.output)
Inputs¶
input: column:number
Numeric input column to aplply function to.
Outputs¶
output: column:number
The result of calling the specified function on the input data.
Parameters¶
func: string
The name of the mathematical function to apply.
Must be one of:
"absolute",
"angle",
"arccos",
"arccosh",
"arcsin",
"arcsinh",
"arctan",
"arctanh",
"around",
"cbrt",
"ceil",
"conj",
"conjugate",
"cos",
"cosh",
"cumprod",
"cumsum",
"deg2rad",
"degrees",
"exp",
"exp2",
"expm1",
"fabs",
"fix",
"floor",
"gradient",
"i0",
"imag",
"log",
"log10",
"log1p",
"log2",
"nan_to_num",
"nancumprod",
"nancumsum",
"nanprod",
"nansum",
"negative",
"positive",
"prod",
"rad2deg",
"radians",
"real",
"real_if_close",
"reciprocal",
"rint",
"round",
"round_",
"sign",
"sin",
"sinc",
"sinh",
"sqrt",
"square",
"sum",
"tan",
"tanh",
"trunc"