python - How to assign weights to a set of variables based on pdf? -

this continuation of previous question had doubt , asked ask new question! here goes.

say have array of size 100.

how calculate probability of each of value in array?

my understanding far:

import numpy np import scipy.stats scipy import stats import matplotlib.pyplot plt   def getdistribution(data):     kernel = stats.gaussian_kde(data,bw_method=0.07)     class rv(stats.rv_continuous):         def _rvs(self, *x, **y):             return kernel.resample(int(self._size)) #random variates         def _cdf(self, x):             return kernel.integrate_box_1d(0,max(x)) #integrate pdf between 2 bounds (-inf x here!)         def _pdf(self, x):             return kernel.evaluate(x)  #evaluate estimated pdf on provided set of points     return rv(name='kdedist')  data = np.random.random(100) sorted_data = np.sort(data)  dist = getdistribution(sorted_data) pdf = dist.pdf(sorted_data)  plt.plot(sorted_data,pdf_data,'-o') plt.hist(sorted_data,normed=true) plt.show() 

i know above code gives me pdf , when plotted alongside histogram of data, this.

i know how can probability on each of points belong data. want assign same weights each of data points.