SciPy

Mathematical functions

Trigonometric functions

sin(x[, out]) Trigonometric sine, element-wise.
cos(x[, out]) Cosine element-wise.
tan(x[, out]) Compute tangent element-wise.
arcsin(x[, out]) Inverse sine, element-wise.
arccos(x[, out]) Trigonometric inverse cosine, element-wise.
arctan(x[, out]) Trigonometric inverse tangent, element-wise.
hypot(x1, x2[, out]) Given the “legs” of a right triangle, return its hypotenuse.
arctan2(x1, x2[, out]) Element-wise arc tangent of x1/x2 choosing the quadrant correctly.
degrees(x[, out]) Convert angles from radians to degrees.
radians(x[, out]) Convert angles from degrees to radians.
unwrap(p[, discont, axis]) Unwrap by changing deltas between values to 2*pi complement.
deg2rad(x[, out]) Convert angles from degrees to radians.
rad2deg(x[, out]) Convert angles from radians to degrees.

Hyperbolic functions

sinh(x[, out]) Hyperbolic sine, element-wise.
cosh(x[, out]) Hyperbolic cosine, element-wise.
tanh(x[, out]) Compute hyperbolic tangent element-wise.
arcsinh(x[, out]) Inverse hyperbolic sine element-wise.
arccosh(x[, out]) Inverse hyperbolic cosine, element-wise.
arctanh(x[, out]) Inverse hyperbolic tangent element-wise.

Rounding

around(a[, decimals, out]) Evenly round to the given number of decimals.
round_(a[, decimals, out]) Round an array to the given number of decimals.
rint(x[, out]) Round elements of the array to the nearest integer.
fix(x[, y]) Round to nearest integer towards zero.
floor(x[, out]) Return the floor of the input, element-wise.
ceil(x[, out]) Return the ceiling of the input, element-wise.
trunc(x[, out]) Return the truncated value of the input, element-wise.

Sums, products, differences

prod(a[, axis, dtype, out, keepdims]) Return the product of array elements over a given axis.
sum(a[, axis, dtype, out, keepdims]) Sum of array elements over a given axis.
nanprod(a[, axis, dtype, out, keepdims]) Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones.
nansum(a[, axis, dtype, out, keepdims]) Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.
cumprod(a[, axis, dtype, out]) Return the cumulative product of elements along a given axis.
cumsum(a[, axis, dtype, out]) Return the cumulative sum of the elements along a given axis.
nancumprod(a[, axis, dtype, out]) Return the cumulative product of array elements over a given axis treating Not a Numbers (NaNs) as one.
nancumsum(a[, axis, dtype, out]) Return the cumulative sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.
diff(a[, n, axis]) Calculate the n-th discrete difference along given axis.
ediff1d(ary[, to_end, to_begin]) The differences between consecutive elements of an array.
gradient(f, *varargs, **kwargs) Return the gradient of an N-dimensional array.
cross(a, b[, axisa, axisb, axisc, axis]) Return the cross product of two (arrays of) vectors.
trapz(y[, x, dx, axis]) Integrate along the given axis using the composite trapezoidal rule.

Exponents and logarithms

exp(x[, out]) Calculate the exponential of all elements in the input array.
expm1(x[, out]) Calculate exp(x) - 1 for all elements in the array.
exp2(x[, out]) Calculate 2**p for all p in the input array.
log(x[, out]) Natural logarithm, element-wise.
log10(x[, out]) Return the base 10 logarithm of the input array, element-wise.
log2(x[, out]) Base-2 logarithm of x.
log1p(x[, out]) Return the natural logarithm of one plus the input array, element-wise.
logaddexp(x1, x2[, out]) Logarithm of the sum of exponentiations of the inputs.
logaddexp2(x1, x2[, out]) Logarithm of the sum of exponentiations of the inputs in base-2.

Other special functions

i0(x) Modified Bessel function of the first kind, order 0.
sinc(x) Return the sinc function.

Floating point routines

signbit(x[, out]) Returns element-wise True where signbit is set (less than zero).
copysign(x1, x2[, out]) Change the sign of x1 to that of x2, element-wise.
frexp(x[, out1, out2]) Decompose the elements of x into mantissa and twos exponent.
ldexp(x1, x2[, out]) Returns x1 * 2**x2, element-wise.

Arithmetic operations

add(x1, x2[, out]) Add arguments element-wise.
reciprocal(x[, out]) Return the reciprocal of the argument, element-wise.
negative(x[, out]) Numerical negative, element-wise.
multiply(x1, x2[, out]) Multiply arguments element-wise.
divide(x1, x2[, out]) Divide arguments element-wise.
power(x1, x2[, out]) First array elements raised to powers from second array, element-wise.
subtract(x1, x2[, out]) Subtract arguments, element-wise.
true_divide(x1, x2[, out]) Returns a true division of the inputs, element-wise.
floor_divide(x1, x2[, out]) Return the largest integer smaller or equal to the division of the inputs.
fmod(x1, x2[, out]) Return the element-wise remainder of division.
mod(x1, x2[, out]) Return element-wise remainder of division.
modf(x[, out1, out2]) Return the fractional and integral parts of an array, element-wise.
remainder(x1, x2[, out]) Return element-wise remainder of division.

Handling complex numbers

angle(z[, deg]) Return the angle of the complex argument.
real(val) Return the real part of the elements of the array.
imag(val) Return the imaginary part of the elements of the array.
conj(x[, out]) Return the complex conjugate, element-wise.

Miscellaneous

convolve(a, v[, mode]) Returns the discrete, linear convolution of two one-dimensional sequences.
clip(a, a_min, a_max[, out]) Clip (limit) the values in an array.
sqrt(x[, out]) Return the positive square-root of an array, element-wise.
cbrt(x[, out]) Return the cube-root of an array, element-wise.
square(x[, out]) Return the element-wise square of the input.
absolute(x[, out]) Calculate the absolute value element-wise.
fabs(x[, out]) Compute the absolute values element-wise.
sign(x[, out]) Returns an element-wise indication of the sign of a number.
maximum(x1, x2[, out]) Element-wise maximum of array elements.
minimum(x1, x2[, out]) Element-wise minimum of array elements.
fmax(x1, x2[, out]) Element-wise maximum of array elements.
fmin(x1, x2[, out]) Element-wise minimum of array elements.
nan_to_num(x) Replace nan with zero and inf with finite numbers.
real_if_close(a[, tol]) If complex input returns a real array if complex parts are close to zero.
interp(x, xp, fp[, left, right, period]) One-dimensional linear interpolation.