On Thu, Aug 27, 2009 at 1:27 PM, wrote:
> On Thu, Aug 27, 2009 at 12:49 PM, Tim
> Michelsen wrote:
>>> Tim, do you mean, that you want to apply other functions, e.g. mean or
>>> variance, to the original values but calculated per bin?
>> Sorry that I forgot to add this. Shame.
>>
>> I would like t
On Thu, Aug 27, 2009 at 12:49 PM, Tim
Michelsen wrote:
>> Tim, do you mean, that you want to apply other functions, e.g. mean or
>> variance, to the original values but calculated per bin?
> Sorry that I forgot to add this. Shame.
>
> I would like to apply these mathematical functions on the origin
> Tim, do you mean, that you want to apply other functions, e.g. mean or
> variance, to the original values but calculated per bin?
Sorry that I forgot to add this. Shame.
I would like to apply these mathematical functions on the original values
stacked in the respective bins.
For instance:
The
On Thu, Aug 27, 2009 at 9:23 AM, Vincent Schut wrote:
> Tim Michelsen wrote:
>> Hello,
>> I need some advice on histograms.
>> If I interpret the documentation [1, 2] for numpy.histogram correctly, the
>> result of the function is a count of the occurences sorted into each bin.
>>
>> (n, bins) = nu
Tim Michelsen wrote:
> Hello,
> I need some advice on histograms.
> If I interpret the documentation [1, 2] for numpy.histogram correctly, the
> result of the function is a count of the occurences sorted into each bin.
>
> (n, bins) = numpy.histogram(v, bins=50, normed=1)
>
> But how can I apply
On Thu, Aug 27, 2009 at 8:23 AM, alexander
baker wrote:
> Here is an example, this does something a extra at the end but shows how the
> bins can be used.
>
> Regards
>
> Alex Baker.
>
> from scipy.stats import norm
> r = norm.rvs(size=1)
>
> import numpy as np
> p, bins = np.histogram(r, width
Here is an example, this does something a extra at the end but shows how the
bins can be used.
Regards
Alex Baker.
from scipy.stats import norm
r = norm.rvs(size=1)
import numpy as np
p, bins = np.histogram(r, width, normed=True)
db = bins[1]-bins[0]
cdf = np.cumsum(p*db)
from pylab import
Hello,
I need some advice on histograms.
If I interpret the documentation [1, 2] for numpy.histogram correctly, the
result of the function is a count of the occurences sorted into each bin.
(n, bins) = numpy.histogram(v, bins=50, normed=1)
But how can I apply another function on these values stac
