If this line
new_x = np.linspace(x.min(), x.max(), new_length)
is generating the error message
AttributeError: 'function' object has no attribute 'min'
then x
is a function, and functions (in general) don't have min
attributes, so you can't call some_function.min()
. What is x
? In your code, you've only defined it as
x=var
I'm not sure what var
is. var
isn't a default builtin in Python, but if it's a function, then either you've defined it yourself for some reason or you've picked it up from somewhere (say you're using Sage, or you did a star import like from sympy import *
or something.)
[Update: since you say you're "using PyLab", probably var
is numpy.var
which has been imported into scope at startup in IPython. I think you really mean "using IPython in --pylab
mode.]
You also define x1
and y1
, but then your later code refers to x
and y
, so it sort of feels like this code is halfway between two functional states.
Now numpy
arrays do have a .min()
and .max()
method, so this:
>>> x = np.array([0.1, 0.3, 0.4, 0.7])
>>> y = np.array([0.2, 0.5, 0.6, 0.9])
>>> new_length = 25
>>> new_x = np.linspace(x.min(), x.max(), new_length)
>>> new_y = sp.interpolate.interp1d(x, y, kind='cubic')(new_x)
would work. Your test data won't because the interpolation needs at least 4 points, and you'd get
ValueError: x and y arrays must have at least 4 entries