timprove plotting - granular-channel-hydro - subglacial hydrology model for sedimentary channels
 (HTM) git clone git://src.adamsgaard.dk/granular-channel-hydro
 (DIR) Log
 (DIR) Files
 (DIR) Refs
 (DIR) README
 (DIR) LICENSE
       ---
 (DIR) commit 1a5a3056676e890a1bb8924f0290be3566cd1648
 (DIR) parent 0d87e7f51ab71bc4832b9cb19bfcbda63990f5ad
 (HTM) Author: Anders Damsgaard Christensen <adc@geo.au.dk>
       Date:   Sat, 14 Jan 2017 09:00:01 -0800
       
       improve plotting
       
       Diffstat:
         M granular_channel_drainage/model.py  |      32 +++++++++++++++++++++++--------
       
       1 file changed, 24 insertions(+), 8 deletions(-)
       ---
 (DIR) diff --git a/granular_channel_drainage/model.py b/granular_channel_drainage/model.py
       t@@ -63,22 +63,19 @@ class model:
                    N = len(gridPoints[:, 0])
                    if distribution == 'normal':
                        gridPoints[::2, 1] = gridPoints[::2, 1] + dy*0.5
       -                x = gridPoints[:, 0] + numpy.random.normal(0, dx*0.10, N)
       -                y = gridPoints[:, 1] + numpy.random.normal(0, dy*0.10, N)
       +                x = gridPoints[:, 0] + numpy.random.normal(0., dx*0.10, N)
       +                y = gridPoints[:, 1] + numpy.random.normal(0., dy*0.10, N)
                    elif distribution == 'uniform':
                        x = gridPoints[:, 0] + numpy.random.uniform(-dx*.5, dx*.5, N)
                        y = gridPoints[:, 1] + numpy.random.uniform(-dy*.5, dy*.5, N)
        
                    else:
                        raise Exception('generateVoronoiDelaunayGrid: ' +
       -                                'distribution type ' + distribution +
       -                                ' not understood.')
       +                                'distribution type "' + distribution +
       +                                '" not understood.')
        
                self.grid = landlab.grid.VoronoiDelaunayGrid(x, y)
        
       -        self.grid.add_zeros('node', 'bed__topographic__elevation')
       -        self.grid.add_zeros('node', 'surface__topographic__elevation')
       -
            def plotGrid(self, field='nodes',
                         save=False, saveformat='pdf'):
                fig = plt.figure()
       t@@ -89,12 +86,31 @@ class model:
                    landlab.plot.imshow_grid(self.grid, field)
                plt.tight_layout()
                if save:
       -            plt.savefig('grid.' + saveformat)
       +            plt.savefig(self.name + '-' + field + '.' + saveformat)
                else:
                    plt.show()
                plt.clf()
                plt.close()
        
       +    def gridCoordinates(self):
       +        '''
       +        Returns the grid coordinates.
       +        '''
       +        return self.grid.node_x, self.grid.node_y
       +
       +    def addScalarField(self, name, values, units):
       +        '''
       +        Add scalar field to the model grid.
       +
       +        :param name: A uniquely identifying name for the scalar field.
       +        :type name: str
       +        :param values: The values to be inserted to the scalar field.
       +        :type name: ndarray
       +        :param units: The unit associated with the values, e.g. 's' or 'm'
       +        :type units: str
       +        '''
       +        self.grid.add_field('node', name, values, units=units, copy=True)
       +