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Rebunch dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | The input workspace |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | The result of rebinning |
| NBunch | Input | number | 1 | The number of bins that will be summed in each bunch |
The algorithm rebins data by adding together NBunch successive bins.
# Create a workspaces
ws = CreateSampleWorkspace()
# Rebunch it
rebunched = Rebunch( ws, 3 )
# Check the result
print('Input workspace has {} bins'.format(ws.blocksize()))
print('"Rebunched" workspace has {} bins'.format(rebunched.blocksize()))
print('Input workspace bin width {:.1f}'.format(ws.readX(0)[1] - ws.readX(0)[0]))
print('"Rebunched" workspace bin width {:.1f}'.format(rebunched.readX(0)[1] - rebunched.readX(0)[0]))
print('Input workspace values {:.1f} {:.1f} {:.1f}'.format(ws.readY(0)[0], ws.readY(0)[50], ws.readY(0)[70]))
print('"Rebunched" workspace values {:.1f} {:.1f} {:.1f}'.format(rebunched.readY(0)[0], rebunched.readY(0)[50//3], rebunched.readY(0)[70//3]))
Input workspace has 100 bins
"Rebunched" workspace has 34 bins
Input workspace bin width 200.0
"Rebunched" workspace bin width 600.0
Input workspace values 0.3 10.3 0.3
"Rebunched" workspace values 0.9 10.9 0.9
Categories: AlgorithmIndex | Transforms\Rebin