Constants

NumPy includes several constants:

numpy.Inf
IEEE 754 floating point representation of (positive) infinity.
Use inf because Inf, Infinity, PINF and infty are aliases for inf. For more details, see inf.
See Also
inf
numpy.Infinity
IEEE 754 floating point representation of (positive) infinity.
Use inf because Inf, Infinity, PINF and infty are aliases for inf. For more details, see inf.
See Also
inf
numpy.NAN
IEEE 754 floating point representation of Not a Number (NaN).
NaN and NAN are equivalent definitions of nan. Please use nan instead of NAN.
See Also
nan
numpy.NINF
IEEE 754 floating point representation of negative infinity.
Returns
y : float (A floating point representation of negative infinity.)
See Also
isinf : Shows which elements are positive or negative infinity
isposinf : Shows which elements are positive infinity
isneginf : Shows which elements are negative infinity
isnan : Shows which elements are Not a Number
isfinite : Shows which elements are finite (not one of Not a Number, positive infinity and negative infinity)
Notes
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity. Also that positive infinity is not equivalent to negative infinity. But infinity is equivalent to positive infinity.
Examples
```
>>> np.NINF
-inf
>>> np.log(0)
-inf
```
numpy.NZERO
IEEE 754 floating point representation of negative zero.
Returns
y : float A (floating point representation of negative zero.)
See Also
PZERO : Defines positive zero.
isinf : Shows which elements are positive or negative infinity.
isposinf : Shows which elements are positive infinity.
isneginf : Shows which elements are negative infinity.
isnan : Shows which elements are Not a Number.
isfinite : Shows which elements are finite - not one of (Not a Number, positive infinity and negative infinity.)
Notes
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). Negative zero is considered to be a finite number.
Examples
```
>>> np.NZERO
-0.0
>>> np.PZERO
0.0
```
```
>>> np.isfinite([np.NZERO])
array([ True])
>>> np.isnan([np.NZERO])
array([False])
>>> np.isinf([np.NZERO])
array([False])
```
numpy.NaN
IEEE 754 floating point representation of Not a Number (NaN).
NaN and NAN are equivalent definitions of nan. Please use nan instead of NaN.
See Also
nan
numpy.PINF
IEEE 754 floating point representation of (positive) infinity.
Use inf because Inf, Infinity, PINF and infty are aliases for inf. For more details, see inf.
See Also
inf
numpy.PZERO
IEEE 754 floating point representation of positive zero.
Returns
y : float (A floating point representation of positive zero.)
See Also
NZERO : Defines negative zero.
isinf : Shows which elements are positive or negative infinity.
isposinf : Shows which elements are positive infinity.
isneginf : Shows which elements are negative infinity.
isnan : Shows which elements are Not a Number.
isfinite : Shows which elements are finite - not one of (Not a Number, positive infinity and negative infinity.)
Notes
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). Positive zero is considered to be a finite number.
Examples
```
>>> np.PZERO
0.0
>>> np.NZERO
-0.0
```
```
>>> np.isfinite([np.PZERO])
array([ True])
>>> np.isnan([np.PZERO])
array([False])
>>> np.isinf([np.PZERO])
array([False])
```
numpy.e
Euler’s constant, base of natural logarithms, Napier’s constant.
e = 2.71828182845904523536028747135266249775724709369995...
See Also
exp : Exponential function log : Natural logarithm
References
https://en.wikipedia.org/wiki/E_%28mathematical_constant%29open in new window
numpy.euler_gamma
γ = 0.5772156649015328606065120900824024310421...
References
https://en.wikipedia.org/wiki/Euler-Mascheroni_constantopen in new window
numpy.inf
IEEE 754 floating point representation of (positive) infinity.
Returns y : float (A floating point representation of positive infinity.)
See Also
isinf : Shows which elements are positive or negative infinity
isposinf : Shows which elements are positive infinity
isneginf : Shows which elements are negative infinity
isnan : Shows which elements are Not a Number
isfinite : Shows which elements are finite (not one of Not a Number, positive infinity and negative infinity)
Notes
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity. Also that positive infinity is not equivalent to negative infinity. But infinity is equivalent to positive infinity.
Inf, Infinity, PINF and infty are aliases for inf.
Examples
```
>>> np.inf
inf
>>> np.array([1]) / 0.
array([ Inf])
```
numpy.infty
IEEE 754 floating point representation of (positive) infinity.
Use inf because Inf, Infinity, PINF and infty are aliases for inf. For more details, see inf.
See Also
inf
numpy.nan
IEEE 754 floating point representation of Not a Number (NaN).
Returns y : A floating point representation of Not a Number.
See Also
isnan : Shows which elements are Not a Number.
isfinite : Shows which elements are finite (not one of Not a Number, positive infinity and negative infinity)
Notes
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity.
NaN and NAN are aliases of nan.
Examples
```
>>> np.nan
nan
>>> np.log(-1)
nan
>>> np.log([-1, 1, 2])
array([        NaN,  0.        ,  0.69314718])
```

numpy.newaxis

A convenient alias for None, useful for indexing arrays.

# Constants

Constants