Pivot the frame designated by the three columns: index, column, and value. Index and column should be of type enum, int, or time. For cases of multiple indexes for a column label, the aggregation method is to pick the first occurrence in the data frame
h2o.pivot(x, index, column, value)
x | an H2OFrame |
---|---|
index | the column where pivoted rows should be aligned on |
column | the column to pivot |
value | values of the pivoted table |
An H2OFrame with columns from the columns arg, aligned on the index arg, with values from values arg
# NOT RUN { library(h2o) h2o.init() df = h2o.createFrame(rows = 1000, cols = 3, factors = 10, integer_fraction = 1.0/3, categorical_fraction = 1.0/3, missing_fraction = 0.0, seed = 123) df$C3 = h2o.abs(df$C3) h2o.pivot(df, index="C3", column="C2", value="C1") # }