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scipy.signal.ShortTimeFFT.

# p_range

ShortTimeFFT.p_range(n, p0=None, p1=None)

  Determine and validate slice index range.

  Parameters:
    nint

      Number of samples of input signal, assuming t[0] = 0.

    p0int | None

      First slice index. If 0 then the first slice is centered at t = 0. If `None` then `p_min` is used. Note that p0 may be < 0 if slices are left of t = 0.

    p1int | None

      End of interval (last value is p1-1). If `None` then p_max(n) is used.

  Returns:
    p0_int

      The fist slice index

    p1_int

      End of interval (last value is p1-1).

  See also

  `k_min`

    The smallest possible signal index.

  `k_max`

    First sample index after signal end not touched by a time slice.

  `lower_border_end`

    Where pre-padding effects end.

  `p_min`

    The smallest possible slice index.

  `p_max`

    Index of first non-overlapping upper time slice.

  `p_num`

    Number of time slices, i.e., `p_max` - `p_min`.

  `upper_border_begin`

    Where post-padding effects start.

  `ShortTimeFFT`

    Class this property belongs to.

  Notes

  A `ValueError` is raised if `p_min <= p0 < p1 <= p_max(n)` does not hold.