def histogram(data,binwidth, xmin,xmax):
"""generate bin-centered histogram of provided data
return bins of given binwidth (and histogram) generated between [xmin,xmax]"""
bins = arange(xmin,xmax, binwidth)
binsc = bins + (0.5 * binwidth)
try: #FIXME: use updated numpy.histogram
histo = numpyhisto(data, bins, new=False)[0]
except:
histo = numpyhisto(data, bins)[0]
return binsc[:len(histo)], histo
def histogram(data,binwidth, xmin,xmax):
"""generate bin-centered histogram of provided data
return bins of given binwidth (and histogram) generated between [xmin,xmax]"""
bins = arange(xmin,xmax, binwidth)
binsc = bins + (0.5 * binwidth)
try: #FIXME: use updated numpy.histogram
histo = numpyhisto(data, bins, new=False)[0]
except:
histo = numpyhisto(data, bins)[0]
return binsc[:len(histo)], histo
def histogram(data,binwidth,xmin,xmax):
"""
generate bin-centered histogram of provided data
return bins of given binwidth (and histogram) generated between [xmin,xmax]
"""
edges = arange(xmin,xmax+binwidth*0.9999999, binwidth)
centers = edges + (0.5 * binwidth)
histo,_ = numpyhisto(data, bins=edges)
#print data.size, sum(histo), edges[0], edges[-1], min(data),max(data)
return centers, histo
def histogram(data, binwidth, xmin, xmax):
"""
generate bin-centered histogram of provided data
return bins of given binwidth (and histogram) generated between [xmin,xmax]
"""
edges = arange(xmin, xmax + binwidth * 0.9999999, binwidth)
centers = edges + (0.5 * binwidth)
histo, _ = numpyhisto(data, bins=edges)
#print data.size, sum(histo), edges[0], edges[-1], min(data),max(data)
return centers, histo
