@@ -601,20 +601,20 @@ def array_to_file(data, fileobj, out_dtype=None, offset=0,
601601 --------
602602 >>> from io import BytesIO
603603 >>> sio = BytesIO()
604- >>> data = np.arange(10, dtype=np.float )
605- >>> array_to_file(data, sio, np.float )
604+ >>> data = np.arange(10, dtype=np.float64 )
605+ >>> array_to_file(data, sio, np.float64 )
606606 >>> sio.getvalue() == data.tobytes('F')
607607 True
608608 >>> _ = sio.truncate(0); _ = sio.seek(0) # outputs 0
609609 >>> array_to_file(data, sio, np.int16)
610610 >>> sio.getvalue() == data.astype(np.int16).tobytes()
611611 True
612612 >>> _ = sio.truncate(0); _ = sio.seek(0)
613- >>> array_to_file(data.byteswap(), sio, np.float )
613+ >>> array_to_file(data.byteswap(), sio, np.float64 )
614614 >>> sio.getvalue() == data.byteswap().tobytes('F')
615615 True
616616 >>> _ = sio.truncate(0); _ = sio.seek(0)
617- >>> array_to_file(data, sio, np.float , order='C')
617+ >>> array_to_file(data, sio, np.float64 , order='C')
618618 >>> sio.getvalue() == data.tobytes('C')
619619 True
620620 """
@@ -1082,9 +1082,9 @@ def scale_min_max(mn, mx, out_type, allow_intercept):
10821082
10831083 Returns
10841084 -------
1085- scalefactor : numpy scalar, dtype=np.maximum_sctype(np.float )
1085+ scalefactor : numpy scalar, dtype=np.maximum_sctype(np.float64 )
10861086 scalefactor by which to divide data after subtracting intercept
1087- intercept : numpy scalar, dtype=np.maximum_sctype(np.float )
1087+ intercept : numpy scalar, dtype=np.maximum_sctype(np.float64 )
10881088 value to subtract from data before dividing by scalefactor
10891089
10901090 Examples
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