pyinterp.core.spline_float32#
- pyinterp.core.spline_float32(*args, **kwargs)#
Overloaded function.
spline_float32(grid: pyinterp.core.Grid2DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], nx: int = 3, ny: int = 3, fitting_model: str = ‘c_spline’, boundary: str = ‘undef’, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]
Spline gridded 2D interpolation.
- Parameters:
grid – Grid containing the values to be interpolated.
x – X-values.
y – Y-values.
nx – The number of X coordinate values required to perform the interpolation. Defaults to
3
.ny – The number of Y coordinate values required to perform the interpolation. Defaults to
3
.fitting_model – Type of interpolation to be performed. Defaults to c_spline
boundary – Type of axis boundary management. Defaults to
undef
.bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y), a ValueError is raised. If False, then value is set to NaN.
num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
0
.
- Returns:
Values interpolated
spline_float32(grid: pyinterp.core.Grid3DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], z: numpy.ndarray[numpy.float64], nx: int = 3, ny: int = 3, fitting_model: str = ‘c_spline’, boundary: str = ‘undef’, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]
Spline gridded 3D interpolation.
A spline 2D interpolation is performed along the X and Y axes of the 3D grid, and linearly along the Z axis between the two values obtained by the spatial spline 2D interpolation.
- Parameters:
grid – Grid containing the values to be interpolated.
x – X-values.
y – Y-values.
z – Z-values.
nx – The number of X coordinate values required to perform the interpolation. Defaults to
3
.ny – The number of Y coordinate values required to perform the interpolation. Defaults to
3
.fitting_model – Type of interpolation to be performed. Defaults to c_spline
boundary – Type of axis boundary management. Defaults to
undef
.bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y), a ValueError is raised. If False, then value is set to NaN.
num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
0
.
- Returns:
Values interpolated.
spline_float32(grid: pyinterp.core.TemporalGrid3DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], z: numpy.ndarray[numpy.int64], nx: int = 3, ny: int = 3, fitting_model: str = ‘c_spline’, boundary: str = ‘undef’, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]
Spline gridded 3D interpolation.
A spline 2D interpolation is performed along the X and Y axes of the 3D grid, and linearly along the Z axis between the two values obtained by the spatial spline 2D interpolation.
- Parameters:
grid – Grid containing the values to be interpolated.
x – X-values.
y – Y-values.
z – Z-values.
nx – The number of X coordinate values required to perform the interpolation. Defaults to
3
.ny – The number of Y coordinate values required to perform the interpolation. Defaults to
3
.fitting_model – Type of interpolation to be performed. Defaults to c_spline
boundary – Type of axis boundary management. Defaults to
undef
.bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y), a ValueError is raised. If False, then value is set to NaN.
num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
0
.
- Returns:
Values interpolated.
spline_float32(grid: pyinterp.core.Grid4DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], z: numpy.ndarray[numpy.float64], u: numpy.ndarray[numpy.float64], nx: int = 3, ny: int = 3, fitting_model: str = ‘c_spline’, boundary: str = ‘undef’, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]
Spline gridded 4D interpolation
A spline 2D interpolation is performed along the X and Y axes of the 4D grid, and linearly along the Z and U axes between the four values obtained by the spatial spline 2D interpolation.
- Parameters:
grid – Grid containing the values to be interpolated.
x – X-values.
y – Y-values.
z – Z-values.
u – U-values.
nx – The number of X coordinate values required to perform the interpolation. Defaults to
3
.ny – The number of Y coordinate values required to perform the interpolation. Defaults to
3
.fitting_model – Type of interpolation to be performed. Defaults to c_spline
boundary – Type of axis boundary management. Defaults to
undef
.bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y), a ValueError is raised. If False, then value is set to NaN.
num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
0
.
- Returns:
Values interpolated.
spline_float32(grid: pyinterp.core.TemporalGrid4DFloat32, x: numpy.ndarray[numpy.float64], y: numpy.ndarray[numpy.float64], z: numpy.ndarray[numpy.int64], u: numpy.ndarray[numpy.float64], nx: int = 3, ny: int = 3, fitting_model: str = ‘c_spline’, boundary: str = ‘undef’, bounds_error: bool = False, num_threads: int = 0) -> numpy.ndarray[numpy.float64]
Spline gridded 4D interpolation
A spline 2D interpolation is performed along the X and Y axes of the 4D grid, and linearly along the Z and U axes between the four values obtained by the spatial spline 2D interpolation.
- Parameters:
grid – Grid containing the values to be interpolated.
x – X-values.
y – Y-values.
z – Z-values.
u – U-values.
nx – The number of X coordinate values required to perform the interpolation. Defaults to
3
.ny – The number of Y coordinate values required to perform the interpolation. Defaults to
3
.fitting_model – Type of interpolation to be performed. Defaults to c_spline
boundary – Type of axis boundary management. Defaults to
undef
.bounds_error – If True, when interpolated values are requested outside of the domain of the input axes (x,y), a ValueError is raised. If False, then value is set to NaN.
num_threads – The number of threads to use for the computation. If 0 all CPUs are used. If 1 is given, no parallel computing code is used at all, which is useful for debugging. Defaults to
0
.
- Returns:
Values interpolated.