#!/usr/bin/env python
# coding: utf-8

# # df031_Stats
# Use the Stats action to extract the statistics of a column.
# 
# Extract the statistics relative to RDataFrame columns and store them
# in TStatistic instances.
# 
# 
# 
# 
# **Author:** Danilo Piparo (CERN)  
# <i><small>This notebook tutorial was automatically generated with <a href= "https://github.com/root-project/root/blob/master/documentation/doxygen/converttonotebook.py">ROOTBOOK-izer</a> from the macro found in the ROOT repository  on Wednesday, April 17, 2024 at 11:07 AM.</small></i>

# In[1]:


import ROOT


# Create a data frame and add two columns: one for the values and one for the weight.

# In[2]:


r = ROOT.RDataFrame(256);
rr = r.Define("v", "rdfentry_")\
      .Define("w", "return 1./(v+1)")


# Now extract the statistics, weighted, unweighted

# In[3]:


stats_iu = rr.Stats("v")
stats_iw = rr.Stats("v", "w")


# Now print them: they are all identical of course!

# In[4]:


stats_iu.Print()
stats_iw.Print()


# Draw all canvases 

# In[5]:


from ROOT import gROOT 
gROOT.GetListOfCanvases().Draw()