Visualizing Fields
==================

1D Field Using matplotlib or gnuplot
------------------------------------

**matplotlib example**::
   import matplotlib.pyplot as plt

   filename = "density_1D.dat"
   fields = fk.read_from_file(filename)
   newfields = fk.replicate_fields(fields, 3)

   #very basic plotting
   plt.figure
   plt.plot(newfields[0].coords, newfields[0].data)
   plt.show()

..  image:: ./figs/matplotlib.png
   :width: 800

**gnuplot example**

On Terminal (Linux): gnuplot ::

   p './density_1D.dat' u 1:2

..  image:: ./figs/gnuplot.png
   :width: 800


**Note:** 1:2 means plotting column 1 and column 2

2D/3D Fields Using Paraview
---------------------------

**For 2D plots**

Using density.vtk as an example. First, change the current directory to the same directory density.vtk is in.

On Terminal: paraview density.vtk

On Paraview: Click "Apply" and change Representation to "Surface"

..  image:: ./figs/visualize1.png
   :width: 800


For 3D plots

Using A15.vtk as an example. First, change the current directory to the same directory A15.vtk is in.

On Terminal: paraview A15.vtk

On Paraview: Click "Apply" and change Representation to "Volume"

..  image:: ./figs/visualize2.png
   :width: 800