def define_bins(self, **kwargs): r""" This defines the bins for a range histogram """ self.data_vector.sort() num_bins = self.args['num_bins'] + 1 min_val = self.args['range'][0] max_val = self.args['range'][1] # min_val = calc_percentile(min_val, self.data_vector, False) max_val = calc_percentile(max_val, self.data_vector, False) # low = list(sp.linspace(min_val, max_val, num_bins))[:-1] high = list(sp.linspace(min_val, max_val, num_bins))[1:] # self.bins = [bin_ for bin_ in zip(low, high)]
def define_bins(self): r""" This defines the bins for a regular histogram """ self.data_vector.sort() num_bins = self.args['num_bins'] min_val = calc_percentile(1.0, self.data_vector, False) max_val = calc_percentile(99.0, self.data_vector, False) # # creating initial bins low = list(sp.linspace(min_val, max_val, num_bins)) high = list(sp.linspace(min_val, max_val, num_bins))[1:] high.append(self.data_vector[-1]*1.0001) # # adding lower bin if needed if self.data_vector[0] < min_val: low.insert(0, self.data_vector[0]) high.insert(0, min_val) # self.bins = [bin_ for bin_ in zip(low, high)]