On Wed, Sep 8, 2010 at 4:38 AM, John Reid wrote:
> Hi,
>
> I recently upgraded to numpy 1.5.0 and now I get warnings when I take
> the logarithm of 0.
>
> In [5]: np.log(0.)
> Warning: divide by zero encountered in log
> Out[5]: -inf
>
>
> I want to evaluate x * log(x) where its value is defined a
On 9/8/2010 6:38 AM, John Reid wrote:
> def safe_x_log_x(x):
> "@return: x log(x) but replaces -inf with 0."
> l = np.log(x)
> result = x * l
> result[np.isneginf(l)] = 0.
> return result
Assuming x is known to contain nonnegative floats:
def safe_x_log_x(x):
x =
Hi,
I recently upgraded to numpy 1.5.0 and now I get warnings when I take
the logarithm of 0.
In [5]: np.log(0.)
Warning: divide by zero encountered in log
Out[5]: -inf
I want to evaluate x * log(x) where its value is defined as 0 when x=0
so I have the following function:
def safe_x_log_x(x
