On 9/19/2011 2:23 AM, Christoph Gohlke wrote:
>
>
> On 9/18/2011 2:30 PM, Eric Firing wrote:
>> On 09/18/2011 09:30 AM, Christoph Gohlke wrote:
>>> Hello,
>>>
>>> matplotlib uses int(x*255) or np.array(x*255, np.uint8) to quantize
>>> normalized floating point numbers x in the range [0.0 to 1.0]
On 9/18/2011 2:30 PM, Eric Firing wrote:
> On 09/18/2011 09:30 AM, Christoph Gohlke wrote:
>> Hello,
>>
>> matplotlib uses int(x*255) or np.array(x*255, np.uint8) to quantize
>> normalized floating point numbers x in the range [0.0 to 1.0] to
>> integers in the range [0 to 255]. This way only 1.0
On 09/18/2011 09:30 AM, Christoph Gohlke wrote:
> Hello,
>
> matplotlib uses int(x*255) or np.array(x*255, np.uint8) to quantize
> normalized floating point numbers x in the range [0.0 to 1.0] to
> integers in the range [0 to 255]. This way only 1.0 is mapped to 255,
> not for example 0.999. Is thi
Hello,
matplotlib uses int(x*255) or np.array(x*255, np.uint8) to quantize
normalized floating point numbers x in the range [0.0 to 1.0] to
integers in the range [0 to 255]. This way only 1.0 is mapped to 255,
not for example 0.999. Is this really intended or would not the largest
floating poi
