On Tue, Nov 20, 2012 at 12:30 PM, Neal Becker wrote:
> Pauli Virtanen wrote:
>
> > 20.11.2012 21:11, Neal Becker kirjoitti:
> >> import numpy as np
> >> import matplotlib.pyplot as plt
> >>
> >> ibo = np.array ((12, 14, 16, 18, 20, 22, 24, 26, 28, 29, 29.8, 30.2))
> >> gain_deriv = np.array ((0,
Pauli Virtanen wrote:
> 20.11.2012 21:11, Neal Becker kirjoitti:
>> import numpy as np
>> import matplotlib.pyplot as plt
>>
>> ibo = np.array ((12, 14, 16, 18, 20, 22, 24, 26, 28, 29, 29.8, 30.2))
>> gain_deriv = np.array ((0, 0, 0, 0, 0, 0, .2, .4, .5, .5, 0,-2))
>>
>> import scipy.in
20.11.2012 21:11, Neal Becker kirjoitti:
> import numpy as np
> import matplotlib.pyplot as plt
>
> ibo = np.array ((12, 14, 16, 18, 20, 22, 24, 26, 28, 29, 29.8, 30.2))
> gain_deriv = np.array ((0, 0, 0, 0, 0, 0, .2, .4, .5, .5, 0,-2))
>
> import scipy.interpolate
> s = scipy.interpolat
I don't understand why the plot of the spline continues on a negative slope at
the end, but the plot of the integral of it flattens.
-
import numpy as np
import matplotlib.pyplot as plt
ibo = np.array ((12, 14, 16, 18, 20, 22, 24, 26, 28, 29,
