Huanian Zhang - 7 months ago 17

Python Question

I am trying to do a map in 2D coordinates with color defined by a third variable. I already defined the grids by the following command:

`b_step = np.linspace(-75,90,12)`

l_step = np.linspace(0,360,25)

grid = [(x,y) for x in b_step for y in l_step]

There are three variables in my data set, one is

`b`

`l`

`s`

`s`

I know

`ROOT TH2F`

Answer

ROOT TH2F is the best way to handle it efficiently. If you create two TH2F histogram, one tracks the data, the other one tracks total number contributed, then you can calculate the mean value in each grid point. The python code for this is below:

```
from ROOT import TH2F, gStyle, TCanvas
##### if you want equally distributed grid points.
#h1 = TH2F('h1','h1',l_num,0.0,360.0,b_num,-90.0,90.0)
#h2 = TH2F('h2','h2',l_num,0.0,360.0,b_num,-90.0,90.0)
##### if you want non-equally distributed grid points.
xBins = 37
yBins = 17
xEdges = np.linspace(-185,185,38)
yEdges = np.array([-105.0,-75.0,-60.0,-45.0,-30.0,-15.0,15.0,35.0,40.0,45.0,50.0,55.0,60.0,65.0,70.0,75.0,80.0,100.0])
h1 = TH2F('h1','h1',xBins,xEdges,yBins,yEdges)
h2 = TH2F('h2','h2',xBins,xEdges,yBins,yEdges)
for i in range(data_size):
h1.Fill(x[i],y[i],signal)
h2.Fill(x[i],y[i],1)
for ii in range(1,h1.GetNbinsX()+1):
for jj in range(1,h1.GetNbinsY()+1):
ss = h1.GetBinContent(ii,jj)
nn = h2.GetBinContent(ii,jj)
xx = h1.GetXaxis().GetBinCenter(ii)
yy = h1.GetYaxis().GetBinCenter(jj)
mean = ss/nn
```

Now you already have the grip coordinates `xx`

and `yy`

, and the data points within it `ss`

, then you can make color plots.