On Sun, 26 Apr 2015 18:55:27 + (UTC), Denis McMahon
wrote:
>The first thing you need to do is create a small self contained example
>of your problem.
>
>State the problem: Plot does not create the output you expect.
>
>Give an example:
>
>plot( [1,11], [5,5] )
>
>Explain what you expect the
On Sat, 25 Apr 2015 23:33:10 +0100, Mario Figueiredo wrote:
> plot(list(results.keys()), list(results.values()))
I found multiple plots in matplotlib. You need to specify which one
you're using.
The first thing you need to do is create a small self contained example
of your problem.
State
On Sun, 26 Apr 2015 11:17:07 +0100, Dave Farrance
wrote:
>
>Moving average. Try:
>
>def movingaverage(interval, window_size):
>window= numpy.ones(int(window_size))/float(window_size)
>return numpy.convolve(interval, window, 'same')
>
>y_av = movingaverage(y,10)
>
>Note that you'd get prob
Mario Figueiredo wrote:
>Other than replacing the random module with the probability density
>function for the exponential distribution, do you have a suggestion of
>how I could smooth the curve?
Moving average. Try:
def movingaverage(interval, window_size):
window= numpy.ones(int(window_si
On Saturday, April 25, 2015 at 4:16:04 PM UTC-7, Mario Figueiredo wrote:
[snip]
> This works as intended. But plots a jagged curve due to the small
> discrepancies normal of a random number generation.
>
> Other than replacing the random module with the probability density
> function for the expon
On 25/04/2015 23:33, Mario Figueiredo wrote:
I'm trying to plot the curve of an exponential distribution without
much success. I'm missing something very basic I feel, but just can't
figure it out after numerous tries, so I'm turning out to you.
This is the function generating the frequency of i
On Sat, 25 Apr 2015 23:12:19 + (UTC), Denis McMahon
wrote:
>Sorry, but given a choice of 5 plot methods in matplotlib and no hint as
>to which one you're calling, I'm not inclined to go and look at the
>arguments of all of them.
There's actually around 8 I think. The individual graphs type
Ok. Ermm, it seems I needed to ask to finally have an epiphany. The
problem is that defaultdict is unordered. Once I get the data ordered,
I can finally plot the curve. Although this presents another
problem...
import decimal
from random import expovariate
from collections import defaultdict
deci
On Sat, 25 Apr 2015 23:33:10 +0100, Mario Figueiredo wrote:
> plot(list(results.keys()), list(results.values()))
matplotlib supports at least (from searching the website) 5 plot methods.
Which one are you using?
My first guess would be that the data format that plot expects isn't the
forma
On Sat, 25 Apr 2015 23:33:10 +0100, Mario Figueiredo
wrote:
>
>Trying to plot this data into a frequency curve is proving too
>challenging and I just can't understand why.
>
>plot(list(results.keys()), list(results.values()))
>
The above should read:
results = generate(1)
plot(list(
I'm trying to plot the curve of an exponential distribution without
much success. I'm missing something very basic I feel, but just can't
figure it out after numerous tries, so I'm turning out to you.
This is the function generating the frequency of individual outcomes:
import decimal
fro
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