numpy.strings.replace#

strings.replace(a, old, new, count=-1)[source]#

For each element in a, return a copy of the string with occurrences of substring old replaced by new.

Parameters:
aarray_like, with bytes_ or str_ dtype
old, newarray_like, with bytes_ or str_ dtype
countarray_like, with int_ dtype

If the optional argument count is given, only the first count occurrences are replaced.

Returns:
outndarray

Output array of StringDType, bytes_ or str_ dtype, depending on input types

See also

str.replace

Examples

>>> 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')