Downsample by averaging points together across axis. If multiple axes are specified, runs once per axis.
(data, n, axis=0)
| 289 | |
| 290 | |
| 291 | def downsample(data, n, axis=0): |
| 292 | """Downsample by averaging points together across axis. |
| 293 | If multiple axes are specified, runs once per axis. |
| 294 | """ |
| 295 | if hasattr(axis, '__len__'): |
| 296 | if not hasattr(n, '__len__'): |
| 297 | n = [n]*len(axis) |
| 298 | for i in range(len(axis)): |
| 299 | data = downsample(data, n[i], axis[i]) |
| 300 | return data |
| 301 | |
| 302 | if n <= 1: |
| 303 | return data |
| 304 | nPts = int(data.shape[axis] / n) |
| 305 | s = list(data.shape) |
| 306 | s[axis] = nPts |
| 307 | s.insert(axis+1, n) |
| 308 | sl = [slice(None)] * data.ndim |
| 309 | sl[axis] = slice(0, nPts*n) |
| 310 | d1 = data[tuple(sl)] |
| 311 | d1.shape = tuple(s) |
| 312 | d2 = d1.mean(axis+1) |
| 313 | |
| 314 | return d2 |
| 315 | |
| 316 | |
| 317 | class ImageTester(scene.SceneCanvas): |
no test coverage detected
searching dependent graphs…