numpy.char.mod#

char.mod(a, values)[source]#

Return (a % i), that is pre-Python 2.6 string formatting (interpolation), element-wise for a pair of array_likes of str or unicode.

Parameters:
aarray_like, with np.bytes_ or np.str_ dtype
valuesarray_like of values

These values will be element-wise interpolated into the string.

Returns:
outndarray

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

Examples

>>> import numpy as np
>>> a = np.array(["NumPy is a %s library"])
>>> np.strings.mod(a, values=["Python"])
array(['NumPy is a Python library'], dtype='<U25')
>>> a = np.array([b'%d bytes', b'%d bits'])
>>> values = np.array([8, 64])
>>> np.strings.mod(a, values)
array([b'8 bytes', b'64 bits'], dtype='|S7')