interpolation
interpolation module for pulse visualization.
Functions
interp1d(time, samples, nop[, kind]) | Scipy interpolation wrapper. |
step_wise(time, samples, nop) | Keep uniform variation between sample values. |
cubic_spline
cubic_spline(time: numpy.ndarray, samples: numpy.ndarray, nop: int, *, kind: str = 'cubic') → Tuple[numpy.ndarray, numpy.ndarray, numpy.ndarray]
Apply cubic interpolation between sampling points.
Parameters
- time – Time vector with length of
samples+ 1. - samples – Complex pulse envelope.
- nop – Number of data points for interpolation.
Returns
Interpolated time vector and real and imaginary part of waveform.
interp1d
interp1d(time, samples, nop, kind='linear')
Scipy interpolation wrapper.
Parameters
- time (
ndarray) – Time vector with length ofsamples+ 1. - samples (
ndarray) – Complex pulse envelope. - nop (
int) – Number of data points for interpolation. - kind (
str) – Scipy interpolation type. Seescipy.interpolate.interp1ddocumentation for more information.
Return type
Tuple[ndarray, ndarray, ndarray]
Returns
Interpolated time vector and real and imaginary part of waveform.
linear
linear(time: numpy.ndarray, samples: numpy.ndarray, nop: int, *, kind: str = 'linear') → Tuple[numpy.ndarray, numpy.ndarray, numpy.ndarray]
Apply linear interpolation between sampling points.
Parameters
- time – Time vector with length of
samples+ 1. - samples – Complex pulse envelope.
- nop – Number of data points for interpolation.
Returns
Interpolated time vector and real and imaginary part of waveform.
step_wise
step_wise(time, samples, nop)
Keep uniform variation between sample values. No interpolation is applied. :type time: ndarray :param time: Time vector with length of samples + 1. :type samples: ndarray :param samples: Complex pulse envelope. :type nop: int :param nop: This argument is not used.
Return type
Tuple[ndarray, ndarray, ndarray]
Returns
Time vector and real and imaginary part of waveform.