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python Programming Glossary: deviationhttp://stackoverflow.com/questions/11507028/fit-a-gaussian-function see below and I am trying to find the mean and standard deviation along with code which fits a curve to my histogram. I think.. lets get the fitting parameters i.e. the mean and standard deviation print 'Fitted mean ' coeff 1 print 'Fitted standard deviation..
How to efficiently calculate a running standard deviation? http://stackoverflow.com/questions/1174984/how-to-efficiently-calculate-a-running-standard-deviation to efficiently calculate a running standard deviation I have an array of lists of numbers e.g. 0 0.01 0.01 0.02 0.04.. like to do is efficiently calculate the mean and standard deviation at each index of a list across all array elements. To do the.. each value in my averages list by n . To do the standard deviation I loop through again now that I have the mean calculated. I..
multidimensional confidence intervals http://stackoverflow.com/questions/12301071/multidimensional-confidence-intervals nstd The radius of the ellipse in numbers of standard deviations. Defaults to 2 standard deviations. ax The axis that the ellipse.. in numbers of standard deviations. Defaults to 2 standard deviations. ax The axis that the ellipse will be plotted on. Defaults.. y0 . nstd The radius of the ellipse in numbers of standard deviations. Defaults to 2 standard deviations. ax The axis that the ellipse..
http://stackoverflow.com/questions/12343271/scipy-instead-of-gnu-octave I usually just need basic calculations means standard deviation arbitrary weighted function fitting and plots with errorbars.. x np.linspace 0 10 50 y 3 x 2 5 2 np.sin x means standard deviation y.mean 106.3687338223809 y.std 91.395548605660522 arbitrary..
How can I quantify difference between two images? http://stackoverflow.com/questions/189943/how-can-i-quantify-difference-between-two-images subtraction learn the average value μ and standard deviation for every pixel of the background compare current pixel values..
http://stackoverflow.com/questions/2831527/phase-correlation FFT of R. The peak value of R corresponds to the rotation deviation in the Y Axis and to the Scaling deviation in the X Axis from.. to the rotation deviation in the Y Axis and to the Scaling deviation in the X Axis from the original Image. References http etd.lsu.edu..
Fitting data to distributions? http://stackoverflow.com/questions/4290081/fitting-data-to-distributions from a Gaussian distribution with mean of 0 and standard deviation of 1 x rnorm n 100 mean 0 sd 1 Assume that you know the data.. to give you reasonable estimates of the mean and standard deviation. In R there is a standard library that makes this very straightforward.. maximum likelihood to estimate both the mean and standard deviation of the Gaussian. Likelihood means in this case probability of..
Using strides for an efficient moving average filter http://stackoverflow.com/questions/4936620/using-strides-for-an-efficient-moving-average-filter it really easy to calculate things like a moving standard deviation etc with very little overhead. When you want to start doing..
Rolling window for 1D arrays in Numpy? http://stackoverflow.com/questions/6811183/rolling-window-for-1d-arrays-in-numpy pure Python code snippet to calculate the rolling standard deviations for a 1D list where observations is the 1D list of values and.. list of values and n is the window length for the standard deviation stdev for i data in enumerate observations n 1 strip observations.. within Numpy i.e. without any Python loops The standard deviation is trivial with numpy.std but the rolling window part completely..
scipy.interpolate.UnivariateSpline not smoothing regardless of parameters http://stackoverflow.com/questions/8719754/scipy-interpolate-univariatespline-not-smoothing-regardless-of-parameters 2 m std 2 s m sqrt 2 m std 2 where std is the standard deviation associated with the noise you want to smooth over. share improve..
scipy, lognormal distribution - parameters http://stackoverflow.com/questions/8747761/scipy-lognormal-distribution-parameters normally needs only two parameters mean and standard deviation. How to interpret the results from scipy fit function How to..
how to format an output in python? http://stackoverflow.com/questions/11743257/how-to-format-an-output-in-python Min 0.963805 Max 0.658219 Mean 0.094306 Standard Deviation 0.131797 Spatial Statistics Lag 1 Total Number of Observations.. Expected Value if band is uncorrelated 0.000001 Standard Deviation of Expected Value Normalized 0.000806 Standard Deviation of.. Deviation of Expected Value Normalized 0.000806 Standard Deviation of Expected Value Randomized 0.000806 Z Significance Test Normalized..
Computing Standard Deviation in a stream http://stackoverflow.com/questions/5543651/computing-standard-deviation-in-a-stream Standard Deviation in a stream Using Python assume I'm running through a known.. few milliseconds . I would like to show a running Standard Deviation. How can I do this without keeping a record of each t python..
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