oph_normalize¶

Description¶

Behaviour

Normalizes a measure array performing the specified operation on ‘count’ elements.

Parameters

input measure type: Ophidia typing. Supported types are: ‘oph_double’; ‘oph_float’; ‘oph_long’; ‘oph_int’; ‘oph_short’; ‘oph_byte’.
output measure type: Ophidia typing. Supported types are: ‘oph_double’; ‘oph_float’; ‘oph_long’; ‘oph_int’; ‘oph_short’; ‘oph_byte’.
measure: input measure.
operator name: type of operator
- ‘oph_max’: compute the maximum and divide each element by it (default);
- ‘oph_max_abs’: compute the maximum of absolute values and divide each element by it (normalize the array in the interval [-1, 1]);
- ‘oph_max_min’: normalize the array in the interval [0, 1];
- ‘oph_avg’: compute the mean value and substract each element by it (anomaly).
- ‘oph_avg_rel’: compute the mean value, substract each element by it and divide the result by the average (relative anomaly).
count: number of elements to be reduced. Default value (0) corresponds to the entire array.
missingvalue : value to be considered as missing value; by default it is NAN (for ‘oph_double’ and ‘oph_float’).

Return type

Binary-array.

Examples

Compute the anomaly with respect to the mean value on 30 measures.

oph_normalize('OPH_DOUBLE','OPH_DOUBLE',measure,'OPH_AVG',30)

Operation type

Simple.

Argument name	Type	Mandatory	Values	Default	Min/Max-value	Min/Max-times
input measure type	“oph_type”	“yes”	“‘oph_double’\|’oph_float’\|’oph_int’\|’oph_long’\|’oph_short’\|’oph_byte’”			“1” / “1”
output measure type	“oph_type”	“yes”	“‘oph_double’\|’oph_float’\|’oph_int’\|’oph_long’\|’oph_short’\|’oph_byte’”			“1” / “1”
measure	“binary-array”	“yes”				“1” / “1”
operator name	“oph_operator”	“no”	“‘oph_max’\|’oph_max_abs’\|’oph_max_min’\|’oph_avg’\|’oph_avg_rel’”	“‘oph_max’”		“0” / “1”
count	“long-long”	“no”		“0”	“array length” / “array length”	“0” / “1”
missingvalue	“double”	“no”		“NAN”		“0” / “1”