update all

rootplotlib/hist2d.py

@@ -11,9 +11,38 @@
 import array
 import rootplotlib as rpl
 import ROOT
+import root_numpy
 import numpy as np
 
 
+def make_hist(name, xaxis_values, yaxis_values, xbins, xmin, xmax, ybins, ymin, ymax):
+    '''
+    This function will fill a 2D histogram faster than in ROOT and them transform the object into a TH2F in order to make the fit
+
+    Arguments:
+    - root_histogram_name: the histogram name for ROOT
+    - xaxis_values: the values to be used for fill x-axis
+    - yaxis_values: the values to be used for fill y-axis
+    - xbin_size: the x-axis bin size
+    - ybin_size: the y-axis bin size
+    - x_min: the minimum in x-axis
+    - x_max: the maximum in x-axis
+    - y_min: the minimum in y-axis
+    - y_max: the maximum in y-axis
+    '''
+
+    xbin_size = (xmax - xmin)/xbins    
+    ybin_size = (ymax - ymin)/ybins
+
+    # create the bin edges
+    binx = np.arange(xmin, xmax, step=xbin_size)
+    biny = np.arange(ymin, ymax, step=ybin_size)
+    # create a numpy histogram2d
+    H, xedges, yedges = np.histogram2d(x=xaxis_values, y=yaxis_values, bins=(binx, biny))
+    # transform into a TH2F
+    # create a TH2F to use
+    hist = ROOT.TH2F( name, '', len(binx)-1, xmin, xmax, len(biny)-1, ymin, ymax)
+    return root_numpy.array2hist(H, hist)
 
 #
 # Create TH1F histogram
@@ -31,8 +60,6 @@ def new2( name, xbins, ybins, title=''):
         ybins = array.array('d', ybins)
     elif type(xbins) is np.array:
         ybins = array.array('d', ybins.tolist())
-    print(xbins)
-    print(ybins)
     return ROOT.TH2F(name, title, len(xbins)-1, xbins, len(ybins)-1, ybins)