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Function zfill

numpy/_core/strings.py:896–939  ·  view source on GitHub ↗

Return the numeric string left-filled with zeros. A leading sign prefix (``+``/``-``) is handled by inserting the padding after the sign character rather than before. Parameters ---------- a : array-like, with ``StringDType``, ``bytes_``, or ``str_`` dtype width : arra

(a, width)

Source from the content-addressed store, hash-verified

894@set_module("numpy.strings")
895@array_function_dispatch(_zfill_dispatcher)
896def zfill(a, width):
897 """
898 Return the numeric string left-filled with zeros. A leading
899 sign prefix (``+``/``-``) is handled by inserting the padding
900 after the sign character rather than before.
901
902 Parameters
903 ----------
904 a : array-like, with ``StringDType``, ``bytes_``, or ``str_`` dtype
905
906 width : array_like, with any integer dtype
907 Width of string to left-fill elements in `a`.
908
909 Returns
910 -------
911 out : ndarray
912 Output array of ``StringDType``, ``bytes_`` or ``str_`` dtype,
913 depending on input type
914
915 See Also
916 --------
917 str.zfill
918
919 Examples
920 --------
921 >>> import numpy as np
922 >>> np.strings.zfill(['1', '-1', '+1'], 3)
923 array(['001', '-01', '+01'], dtype='<U3')
924
925 """
926 width = np.asanyarray(width)
927 if not np.issubdtype(width.dtype, np.integer):
928 raise TypeError(f"unsupported type {width.dtype} for operand 'width'")
929
930 a = np.asanyarray(a)
931
932 if a.dtype.char == "T":
933 return _zfill(a, width)
934
935 width = np.maximum(str_len(a), width)
936 shape = np.broadcast_shapes(a.shape, width.shape)
937 out_dtype = f"{a.dtype.char}{width.max()}"
938 out = np.empty_like(a, shape=shape, dtype=out_dtype)
939 return _zfill(a, width, out=out)
940
941
942@set_module("numpy.strings")

Callers 1

zfillMethod · 0.85

Calls 1

maxMethod · 0.45

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