# Add Cell Connectivity to Points

Info

This example will demonstrate how to add connectivity along some arbitrary set of points to generate a line or polyline.

Warning

The **Add Cell Connectivity To Points** filter uses the SciPy python package. You may get an error if you do not have SciPy linked to ParaView Python. To work around this, make sure the **Use nearest nbr** parameter is not checked. Since the points file we give you in this example is in sequential order, this will not matter. **See details** to learn more about enabling the SciPy package in `pvpython`

.

## Overview¶

This filter will add **linear** cell connectivity between scattered points. You have the option to add `VTK_LINE`

or `VTK_POLYLINE`

connectivity. `VTK_LINE`

connectivity makes a straight line between the points in order (either in the order by index or using a nearest neighbor calculation). The `VTK_POLYLINE`

adds polyline connectivity between all points as one spline (either in the order by index or using a nearest neighbor calculation).

## ParaView Example¶

First, lets generate some data on the ParaView pipeline. For this example, we want to generated a series of scattered points that might make up a path using a **Programmable Source**. Select *Sources->Alphabetical->Programmable Source* then paste the following script in the source’s *Script* field:

import numpy as np from PVGeo import pointsToPolyData def path1(y): """Equation: x = a(y-h)^2 + k""" a = - 110.0 / 160.0**2 x = a*y**2 + 110.0 idxs = np.argwhere(x>0) return x[idxs][:,0], y[idxs][:,0] x, y = path1(np.arange(0.0, 200.0, 25.0)) zo = np.linspace(9.0, 11.0, num=len(y)) coords = np.vstack((x,y,zo)).T # Shuffle points to demonstrate value of Nearest Neighbor np.random.shuffle(coords) pdo = self.GetOutput() pdo.ShallowCopy(pointsToPolyData(coords))

Note

These points are similar to the points used in the file given with the Many Slices Along Points Example except we shuffle them to make use of the nearest neighbor approximation.

### Apply the Filter¶

Now that you have the points generated on the pipeline, lets go ahead and apply the **Add Cell Connectivity To Points** filter from *Filters->PVGeo: General Filters->Add Cell Connectivity To Points*. Go ahead and click *Apply*. The output data should look really wacky and incorrectly built like the image below; this is good.

Remember that in the script given above we shuffle the points to demonstrate that the points make a useable line but we need to reconstruct the order of the points. We do this by selecting the *Use Nearest Nbr Approx* checkbox; this will ensure that a useable path is generate from the points. Go ahead and select the check box then reapply the filter. Now it looks good (see image below)!

## Python Example¶

import numpy as np from PVGeo import pointsToPolyData from PVGeo.filters import AddCellConnToPoints ############################################ ######### GENERATE SOME POINT DATA ######### def path1(y): """Equation: x = a(y-h)^2 + k""" a = - 110.0 / 160.0**2 x = a*y**2 + 110.0 idxs = np.argwhere(x>0) return x[idxs][:,0], y[idxs][:,0] x, y = path1(np.arange(0.0, 200.0, 25.0)) zo = np.linspace(9.0, 11.0, num=len(y)) coords = np.vstack((x,y,zo)).T # Shuffle points to demonstrate value of Nearest Neighbor np.random.shuffle(coords) # Make a VTK data object for the filter to use vtkPoints = pointsToPolyData(coords) ############################################ # Use the filter: Here is vtkPolyData containing the connected line: line = AddCellConnToPoints(nearestNbr=True).Apply(vtkPoints)