On Fri, Nov 27, 2009 at 9:05 PM, Sebastian <sebas0@gmail.com> wrote:
Hi Chris, yeah there should, try the following: import numpy import matplotlib.pyplot as pylab regards
On Fri, Nov 27, 2009 at 8:47 PM, Wayne Watson <sierra_mtnview@sbcglobal.net> wrote:
I tried this and it put ranges on y from 0 to 0.45 and x from 5 to 50.
import numpy as np import pylab
v = np.array([20, 15,10,30, 50, 30, 20, 25, 10]) #Plot a normalized histogram print np.linspace(0,50,10) pylab.hist(v, normed=1, bins=np.linspace(0,9,10), range=(0,100)) pylab.show()
I added the two imports. I got a fig error on the first line. import pylab import numpy
Shouldn't there by a pylab.Show in there?
you need to create a figure, before you can use it fig = pylab.figure() Josef
ax = fig.add_subplot(1,1,1) pylab.title(r'\Large BCG NO radio distribution $ \rm{TITLE}$') n, bins, patches = pylab.hist(values, bins=math.sqrt(len(values)),
range=(numpy.mean(values)-3*scientificstat.standardDeviation(values),numpy.mean(values)+3*scientificstat.standardDeviation(values)), normed=1, facecolor='y', alpha=0.5) ax.set_xlabel(r'\Large$ \rm{values}$') ax.set_ylabel(r'\Large Delatavalue/Value')
gausx=numpy.arange(numpy.mean(Value)-3*scientificstat.standardDeviation(Value),numpy.mean(Value)+3*scientificstat.standardDeviation(bpty_plt),0.1)
gaus=normpdf(gausx,numpy.mean(Value),scientificstat.standardDeviation(Value)) pylab.plot(gausx,gaus, color='red', lw=2) ax.set_xlim(-1.5, 1.5) ax.grid(True)
Sebastian wrote:
Did you try using the parameter range? I do something like this. regards
ax = fig.add_subplot(1,1,1) pylab.title(r'\Large BCG NO radio distribution $ \rm{TITLE}$') n, bins, patches = pylab.hist(values, bins=math.sqrt(len(values)),
range=(numpy.mean(values)-3*scientificstat.standardDeviation(values),numpy.mean(values)+3*scientificstat.standardDeviation(values)), normed=1, facecolor='y', alpha=0.5) ax.set_xlabel(r'\Large$ \rm{values}$') ax.set_ylabel(r'\Large Delatavalue/Value')
gausx=numpy.arange(numpy.mean(Value)-3*scientificstat.standardDeviation(Value),numpy.mean(Value)+3*scientificstat.standardDeviation(bpty_plt),0.1)
gaus=normpdf(gausx,numpy.mean(Value),scientificstat.standardDeviation(Value)) pylab.plot(gausx,gaus, color='red', lw=2) ax.set_xlim(-1.5, 1.5) ax.grid(True)
On Fri, Nov 27, 2009 at 4:38 PM, Christopher Barker <Chris.Barker@noaa.gov <mailto:Chris.Barker@noaa.gov>> wrote:
josef.pktd@gmail.com <mailto:josef.pktd@gmail.com> wrote: > On Fri, Nov 27, 2009 at 12:57 PM, Skipper Seabold <jsseabold@gmail.com <mailto:jsseabold@gmail.com>> wrote:
>> This kind of info might be useful to other newcomers >> somewhere... <http://www.scipy.org/History_of_SciPy>? Thoughts on >> posting this on the wiki here? > > I also agree. It will improve with the newly redesigned website for scipy.org <http://scipy.org> > However, I cannot find the link right now for the development version of > the new website.
Feel free to crib whatever you want from my post for that -- or suggest a place for me to put it, and I'll do it. I'm just not sure where it should go at this point.
-Chris
-- Christopher Barker, Ph.D. Oceanographer
Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception
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