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rAKA/examples/python/eigen_modes/image_saver.py
3eea84761c29features/fluid_diffusion

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image_saver.py
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#!/usr/bin/env python3
import numpy as np
import matplotlib.pyplot as plt
# -----------------------------------------------------------------------------
class ImageSaver:
# -------------------------------------------------------------------------
# Constructors/Destructors
# -------------------------------------------------------------------------
def __init__(self, mesh, field, component, Lbar):
self.mesh = mesh
self.field_copy = None
self.field = field
self.component = component
self.max_value = 0
self.Lbar = Lbar
# compute the number of nodes in one direction
self.nb_nodes = 0
epsilon = 1e-8
nodes = mesh.getNodes()
for n in range(0, mesh.getNbNodes()):
if np.abs(nodes[n, 1]) < epsilon:
self.nb_nodes += 1
# -------------------------------------------------------------------------
# Methods
# -------------------------------------------------------------------------
def storeStep(self):
if self.field_copy is None:
current_size = 0
self.field_copy = np.zeros(self.nb_nodes)
else:
current_size = self.field_copy.shape[0]
self.field_copy.resize(current_size + self.nb_nodes)
epsilon = 1e-8
h = self.Lbar / (self.nb_nodes-1)
nodes = self.mesh.getNodes()
for n in range(0, self.mesh.getNbNodes()):
if np.abs(nodes[n, 1]) < epsilon:
normed_x = nodes[n, 0]/h + h/10.
index = int(normed_x)
self.field_copy[current_size +
index] = self.field[n, self.component]
if self.max_value < self.field[n, self.component]:
self.max_value = self.field[n, self.component]
def getImage(self):
width = int(self.nb_nodes)
height = int(self.field_copy.shape[0] / self.nb_nodes)
if np.abs(self.max_value) > 1e-8:
for n in range(0, self.field_copy.shape[0]):
self.field_copy[n] = 1 - self.field_copy[n] / self.max_value
img = self.field_copy.reshape((height, width))
return img
def saveImage(self, filename):
img = self.getImage()
plt.imshow(img)
plt.savefig(filename)
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