The csa API¶

class pygridgen.csa.CSA(xin, yin, zin, sigma=None, npmin=3, npmax=40, k=140, nppc=5)[source]¶

Bases: object

Cubic spline approximation for re-gridding 2D data sets

Parameters:

xin : array-like: an array of x data point locations
yin : array-like: an array of z data point locations
zin : array-like: an array of z data point locations
sigma : array-like or None: an array of errors for zin (standard deviation) None for no error (default)
k : integer: Set the spline sensitivity (default = 140). Reduce to get smoother results.
nppc : integer: Average number of points per cell (default = 5) Decrease to get smaller cells or increase to get larger cells
npmin : integer: Minimal number of points locally involved in spline calculation (default = 3)
npmax : integer: Maximum number of points locally involved in spline calculation (default = 40)

Returns:

csa_interp : object: This object can be called with arguments of x and y points to be interpolated to. The input data, zin, can be reset by overwriting that object parameter.

Examples

import numpy as np
import matplotlib.pyplot as plt
from pygridgen import csa
xin = np.random.randn(10000)
yin = np.random.randn(10000)
zin = np.sin( xin**2 + yin**2 ) / (xin**2 + yin**2 )
xout, yout = np.mgrid[-3:3:10j, -3:3:10j]
csa_interp = csa.CSA(xin, yin, zin)
zout = csa_interp(xout, yout)
img = plt.imshow(zout)

(Source code, png, hires.png, pdf)

zin¶: Input values to be approximated

plot(xout, yout, ax=None, mesh_opts=None, scatter_opts=None)[source]¶

Plot the input and output data set from the cubic split approximation.

Parameters:	xout, yout : array-like Two-dimensional arrays of x/y coordinates at which `zout` should be estimated. ax : matplotlib Axes, optional The axes on which the plot should be drawn. If not provided, a new axes and figure will be created. mesh_opts, scatter_opts : dict, optional Dictionary of plotting options passed to matplotlib’s pcolormesh and scatter functions, respectively.
Returns:	ax : matplotlib Axes.

name = 'libcsa.so'¶

path = '/home/paul/miniconda3/envs/grid/lib'¶