prop_gen_df

Generate a random DataFrame

Returns a generator spec producing a DataFrame with one column per entry in columns (a Dict mapping column names to generator specs). Each column has nrows rows; with probability na_prob, a cell is replaced with a typed NA matching the column’s generator.

Parameters

• columns (Dict[String,): Dict] Column name -> generator spec.

• nrows (Int): = 30 Number of rows.

• na_prob (Float): = 0.1 Probability a cell is NA (0 to 1).

Returns

A generator spec.

Examples

g = prop_gen_df([x: prop_gen_float_range(0.0, 100.0),
grp: prop_gen_factor(["a", "b"])],
nrows = 50, na_prob = 0.05)

See Also

prop_gen_factor