[Numpy-discussion] runtime warning for where
alex
argriffi at ncsu.edu
Sat Nov 16 08:42:52 EST 2013
On Sat, Nov 16, 2013 at 8:28 AM, David Pine <djpine at gmail.com> wrote:
> The program at the bottom of this message returns the following runtime warning:
>
> python test.py
> test.py:5: RuntimeWarning: invalid value encountered in divide
> return np.where(x==0., 1., np.sin(x)/x)
>
> The function works correctly returning
> x = np.array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
> y = np.array([ 1. , 0.84147098, 0.45464871, 0.04704 , -0.18920062,
> -0.19178485, -0.04656925, 0.09385523, 0.12366978, 0.04579094,
> -0.05440211])
>
> The runtime warning suggests that np.where evaluates np.sin(x)/x at all x, including x=0, even though the np.where function returns the correct value of 1. when x is 0. This seems odd to me. Why issue a runtime warning? Nothing is wrong. Moreover, I don't recall numpy issuing such warnings in earlier versions.
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> def sinc(x):
> return np.where(x==0., 1., np.sin(x)/x)
>
> x = np.linspace(0., 10., 11)
> y = sinc(x)
>
> plt.plot(x, y)
> plt.show()
Also notice that scipy.stats.distributions has its own private
implementation of where, called _lazywhere. It avoids evaluating the
function when the condition is false.
https://github.com/scipy/scipy/blob/master/scipy/stats/distributions.py#L506
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