Changes between Version 24 and Version 25 of coding_rules

Timestamp:

08/18/20 16:06:12 (5 years ago)

Author:

jdquinn

Comment:

Formatting

coding_rules

@@ -138 +138 @@
 Some notable omissions in the above sources are as follows:
 ||= '''MATLAB''' =||= '''!NumPy''' =||= '''Notes''' =||
-|| `find(a>0.5)` || `np.where(a>0.5)[0]`[[BR]][[BR]]`np.where(a>0.5,a,a)[0]` || 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 ||
-|| `find('cond1'&'cond2')` || `np.where(np.logical_and.reduce(('cond1','cond2'))[0]` || find the indices where `'cond1'` and `'cond2'` are met[[BR]][[BR]]The same protocol can be followed for MATLAB's `|` by instead using `logical_or`.[[BR]][[BR]]More than two conditions may be compounded.||
-|| `<<cell_array>>{:}`  || `<<np.ndarray>>.flatten()` || Flatten a MATLAB cell array or Python ndarray ||
+|| `find(a>0.5)` || `np.where(a>0.5)[0]`[[BR]][[BR]]`np.where(a>0.5,a,a)[0]` || 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 ||
+|| `find('cond1'&'cond2')` || `np.where(np.logical_and.reduce(('cond1','cond2'))[0]` || Find the indices where `'cond1'` and `'cond2'` are met.[[BR]][[BR]]The same protocol can be followed for MATLAB's `|` by instead using `logical_or`.[[BR]][[BR]]More than two conditions may be compounded. ||
+|| `<<cell_array>>{:}`  || `<<np.ndarray>>.flatten()` || Flatten a MATLAB cell array or Python ndarray. ||
 == !Variable/Enum/Function Names ==