# FunctionQuantity¶

class astropy.units.function.FunctionQuantity[source]

A representation of a (scaled) function of a number with a unit.

Function quantities are quantities whose units are functions containing a physical unit, such as dB(mW). Most of the arithmetic operations on function quantities are defined in this base class.

While instantiation is also defined here, this class should not be instantiated directly. Rather, subclasses should be made which have _unit_class pointing back to the corresponding function unit class.

Parameters: value : number, sequence of convertible items, Quantity, or FunctionQuantity The numerical value of the function quantity. If a number or a Quantity with a function unit, it will be converted to unit and the physical unit will be inferred from unit. If a Quantity with just a physical unit, it will converted to the function unit, after, if necessary, converting it to the physical unit inferred from unit. unit : string, UnitBase or FunctionUnitBase instance, optional For an FunctionUnitBase instance, the physical unit will be taken from it; for other input, it will be inferred from value. By default, unit is set by the subclass. dtype : dtype, optional The dtype of the resulting Numpy array or scalar that will hold the value. If not provided, it is determined from the input, except that any input that cannot represent float (integer and bool) is converted to float. copy : bool, optional If True (default), then the value is copied. Otherwise, a copy will only be made if __array__ returns a copy, if value is a nested sequence, or if a copy is needed to satisfy an explicitly given dtype. (The False option is intended mostly for internal use, to speed up initialization where a copy is known to have been made. Use with care.) order : {‘C’, ‘F’, ‘A’}, optional Specify the order of the array. As in array. Ignored if the input does not need to be converted and copy=False. subok : bool, optional If False (default), the returned array will be forced to be of the class used. Otherwise, subclasses will be passed through. ndmin : int, optional Specifies the minimum number of dimensions that the resulting array should have. Ones will be pre-pended to the shape as needed to meet this requirement. This parameter is ignored if the input is a Quantity and copy=False. TypeError If the value provided is not a Python numeric type. TypeError If the unit provided is not a FunctionUnitBase or Unit object, or a parseable string unit.

Attributes Summary

 cgs Return a copy with the physical unit in CGS units. physical The physical quantity corresponding the function one. si Return a copy with the physical unit in SI units.

Methods Summary

 clip([min, max, out]) Return an array whose values are limited to [min, max]. cumsum([axis, dtype, out]) Return the cumulative sum of the elements along the given axis. decompose(self[, bases]) Generate a new FunctionQuantity with the physical unit decomposed. max([axis, out, keepdims]) Return the maximum along a given axis. min([axis, out, keepdims]) Return the minimum along a given axis. sum([axis, dtype, out, keepdims]) Return the sum of the array elements over the given axis.

Attributes Documentation

cgs

Return a copy with the physical unit in CGS units.

physical

The physical quantity corresponding the function one.

si

Return a copy with the physical unit in SI units.

Methods Documentation

clip(min=None, max=None, out=None)[source]

Return an array whose values are limited to [min, max]. One of max or min must be given.

Refer to numpy.clip for full documentation.

numpy.clip
equivalent function
cumsum(axis=None, dtype=None, out=None)[source]

Return the cumulative sum of the elements along the given axis.

Refer to numpy.cumsum for full documentation.

numpy.cumsum
equivalent function
decompose(self, bases=[])[source]

Generate a new FunctionQuantity with the physical unit decomposed.

For details, see decompose.

max(axis=None, out=None, keepdims=False)[source]

Return the maximum along a given axis.

Refer to numpy.amax for full documentation.

numpy.amax
equivalent function
min(axis=None, out=None, keepdims=False)[source]

Return the minimum along a given axis.

Refer to numpy.amin for full documentation.

numpy.amin
sum(axis=None, dtype=None, out=None, keepdims=False)[source]
Refer to numpy.sum for full documentation.
numpy.sum