116 | | || {{{find(a>0.5)}}} || {{{np.empty(a>0.5)}}}[[BR]][[BR]]{{{np.empty(a>0.5,a,a)}}} || find the indices where (a > 0.5)[[BR]][[BR]]When only the {{{condition}}} parameters is provided, this function is a shorthand for {{{np.asarray(condition).nonzero()}}}.[[BR]]Further, when working on a 1D array, this array must be passed in as a value for parameters {{{x}}} and {{{y}}} if the desired output is a single array of indices rather than a tuple of arrays.[[BR]][[BR]]Note as well that {{{a}}} must be of type {{{np.array}}} (or one of its subclasses): a {{{list}}} will not automatically be cast.[[BR]][[BR]]See also: https://numpy.org/doc/stable/reference/generated/numpy.where.html || |
| 116 | || `find(a>0.5)` || `np.empty(a>0.5)`[[BR]][[BR]]`np.empty(a>0.5,a,a)` || find the indices where (a > 0.5)[[BR]][[BR]]When only the {{{condition}}} parameters is provided, this function is a shorthand for `np.asarray(condition).nonzero()`.[[BR]]Further, when working on a 1D array, this array must be passed in as a value for parameters `x` and `y` if the desired output is a single array of indices rather than a tuple of arrays.[[BR]][[BR]]Note as well that `a` must be of type `np.array` (or one of its subclasses): a {{{list}}} will not automatically be cast.[[BR]][[BR]]See also: https://numpy.org/doc/stable/reference/generated/numpy.where.html || |
| 117 | || `<<cell_array>>{:}` || `<<np.ndarray>>.flatten()` || Flatten a MATLAB cell array or Python ndarray || |