pymatgen.util.num module

This module provides utilities for basic math operations.

abs_cap(val, max_abs_val=1)

Returns the value with its absolute value capped at max_abs_val. Particularly useful in passing values to trigonometric functions where numerical errors may result in an argument > 1 being passed in.

Parameters:

• val (float) – Input value.

• max_abs_val (float) – The maximum absolute value for val. Defaults to 1.

Returns:

val if abs(val) < 1 else sign of val * max_abs_val.

make_symmetric_matrix_from_upper_tri(val)

Given a symmetric matrix in upper triangular matrix form as flat array indexes as: [A_xx,A_yy,A_zz,A_xy,A_xz,A_yz] This will generate the full matrix: [[A_xx,A_xy,A_xz],[A_xy,A_yy,A_yz],[A_xz,A_yz,A_zz]

maxloc(seq)

Return the index of the (first) maximum in seq

>>> assert maxloc([1,3,2,3]) == 1

min_max_indexes(seq)

Uses enumerate, max, and min to return the indices of the values in a list with the maximum and minimum value:

minloc(seq)

Return the index of the (first) minimum in seq

>>> assert minloc(range(3)) == 0

monotonic(values, mode='<', atol=1e-08)

True if values are monotonically (decreasing|increasing). mode is “<” for a decreasing sequence, “>” for an increasing sequence. Two numbers are considered equal if they differ less than atol.

>>> values = [1.2, 1.3, 1.4]
>>> monotonic(values, mode="<")
False
>>> monotonic(values, mode=">")
True

non_decreasing(values)

True if values are not decreasing.

non_increasing(values)

True if values are not increasing.

round_to_sigfigs(num, sigfigs)

Rounds a number rounded to a specific number of significant figures instead of to a specific precision.

strictly_decreasing(values)

True if values are strictly decreasing.

strictly_increasing(values)

True if values are strictly increasing.