Hello, On Mon, 2011-01-31 at 10:15 -0500, dpar...@chromalloy.com wrote: > I have several functions like the example below that I would like to > make compatible with array inputs. The problem is the conditional > statements give a ValueError: The truth value of an array with more > than one element is ambiguous. Use a.any() or a.all(). I can use > numpy.vectorize, but if possible I'd prefer to rewrite the function. > Does anyone have any advice the best way to modify the code to accept > array inputs? Thanks in advance for any assistance. >
You can use binary indexing instead of the if: condition = far < 0 values[condition] = np.nan # set to NaN wherever far < 0 is True. or if you like I suppose you could put it into cython, add some typing to avoid creating those binary arrays etc. all over to speed things up more. Regards, Sebastian > > NAN = float('nan') > > def air_gamma(t, far=0.0): > """ > Specific heat ratio (gamma) of Air/JP8 > t - static temperature, Rankine > [far] - fuel air ratio [- defaults to 0.0 (dry air)] > air_gamma - specific heat ratio > """ > if far < 0.: > return NAN > elif far < 0.005: > if t < 379. or t > 4731.: > return NAN > else: > air_gamma = -3.472487e-22 * t ** 6. + 6.218811e-18 * t ** > 5. - 4.428098e-14 * t ** 4. + 1.569889e-10 * t ** 3. - 0.0000002753524 > * t ** 2. + 0.0001684666 * t + 1.368652 > elif far < 0.069: > if t < 699. or t > 4731.: > return NAN > else: > a6 = 4.114808e-20 * far ** 3. - 1.644588e-20 * far ** 2. + > 3.103507e-21 * far - 3.391308e-22 > a5 = -6.819015e-16 * far ** 3. + 2.773945e-16 * far ** 2. > - 5.469399e-17 * far + 6.058125e-18 > a4 = 4.684637e-12 * far ** 3. - 1.887227e-12 * far ** 2. + > 3.865306e-13 * far - 4.302534e-14 > a3 = -0.00000001700602 * far ** 3. + 0.000000006593809 * > far ** 2. - 0.000000001392629 * far + 1.520583e-10 > a2 = 0.00003431136 * far ** 3. - 0.00001248285 * far ** 2. > + 0.000002688007 * far - 0.0000002651616 > a1 = -0.03792449 * far ** 3. + 0.01261025 * far ** 2. - > 0.002676877 * far + 0.0001580424 > a0 = 13.65379 * far ** 3. - 3.311225 * far ** 2. + > 0.3573201 * far + 1.372714 > air_gamma = a6 * t ** 6. + a5 * t ** 5. + a4 * t ** 4. + > a3 * t ** 3. + a2 * t ** 2. + a1 * t + a0 > elif far >= 0.069: > return NAN > else: > return NAN > return air_gamma > > David Parker > Chromalloy - TDAG > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion