For each element in a, return a copy of the string with occurrences of substring old replaced by new.
bytes_ or str_ dtype
bytes_ or str_ dtype
int_ dtype
If the optional argument count is given, only the first count occurrences are replaced.
Output array of StringDType, bytes_ or str_ dtype, depending on input types
See also
>>> import numpy as np >>> a = np.array(["That is a mango", "Monkeys eat mangos"]) >>> np.strings.replace(a, 'mango', 'banana') array(['That is a banana', 'Monkeys eat bananas'], dtype='<U19')
>>> a = np.array(["The dish is fresh", "This is it"]) >>> np.strings.replace(a, 'is', 'was') array(['The dwash was fresh', 'Thwas was it'], dtype='<U19')
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https://numpy.org/doc/2.4/reference/generated/numpy.strings.replace.html