Changeset 8969
- Timestamp:
- Sep 10, 2013, 8:12:49 AM (11 years ago)
- Location:
- trunk/anuga_core/source/anuga/fit_interpolate
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/anuga_core/source/anuga/fit_interpolate/interpolate2d.py
r8967 r8969 142 142 143 143 # Identify elements that are outside interpolation domain or NaN 144 oldset = numpy.seterr(invalid='ignore') # Suppress comparison with nan warning 144 145 outside = (xi < x[0]) + (eta < y[0]) + (xi > x[-1]) + (eta > y[-1]) 145 146 outside += numpy.isnan(xi) + numpy.isnan(eta) 146 147 numpy.seterr(**oldset) # Restore warnings 148 147 149 # Restrict interpolation points to those that are inside the grid 148 150 inside = -outside # Invert boolean array to find elements inside … … 271 273 272 274 if bounds_error: 273 xi0 = min(xi)274 xi1 = max(xi)275 eta0 = min(eta)276 eta1 = max(eta)275 xi0 = numpy.nanmin(xi) 276 xi1 = numpy.nanmax(xi) 277 eta0 = numpy.nanmin(eta) 278 eta1 = numpy.nanmax(eta) 277 279 278 280 msg = ('Interpolation point xi=%f was less than the smallest ' -
trunk/anuga_core/source/anuga/fit_interpolate/test_interpolate2d.py
r8967 r8969 250 250 xis = numpy.linspace(x[0], x[-1], 10) 251 251 etas = numpy.linspace(y[0], y[-1], 10) 252 252 253 xis[6:7] = numpy.nan 253 254 etas[3] = numpy.nan 254 255 points = axes2points(xis, etas) 255 256 256 257 vals = interpolate2d(x, y, A, points, mode='linear') 257 258 refs = linear_function(points[:, 0], points[:, 1]) 259 258 260 assert nanallclose(vals, refs, rtol=1e-12, atol=1e-12) 259 261 … … 279 281 etas = numpy.linspace(y[0], y[-1], 10) 280 282 points = axes2points(xis, etas) 283 281 284 282 285 vals = interpolate2d(x, y, A, points, mode='linear')
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