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import numpy as np
import matplotlib.pyplot as plt
from copy import copy
from matplotlib.patches import Rectangle
figure, axes = plt.subplots()
class Plotter:
def __init__(self):
self.plt = None
self.colorbar = None
self.patch = None
def clear(self):
if self.patch:
self.patch.remove()
if self.colorbar:
self.colorbar.remove()
if self.plt:
self.plt.remove()
def plot(self, model, normalize=True, density=False, save_path='', streamplot=False):
self.clear()
axes.set_title('Velocity field (normalized)')
plt.suptitle(f'Avg mass source per grid point = {model.avg_error()}')
plt.xlabel('X')
plt.ylabel('Y')
shape = model.p.shape
u = np.zeros(shape, dtype=float)
v = np.zeros(shape, dtype=float)
for i in range(shape[0]):
for j in range(shape[1]):
u[i][j] = 0.5 * (model.u[i][j] + model.u[i][j + 1])
v[i][j] = 0.5 * (model.v[i][j] + model.v[i + 1][j])
assert not v[0, :].any()
assert not v[-1, :].any()
x, y = np.meshgrid(
np.linspace(0, shape[1] * model.step, shape[1]),
np.linspace(0, shape[0] * model.step, shape[0]),
)
if normalize:
factor = np.sqrt(u ** 2 + v ** 2)
u = u / factor
v = v / factor
# density = density or int((max(model.domain_size) / model.step) / 40)
plt.contourf(x, y, model.p)
# self.patch = axes.add_patch(Rectangle((0, 0), *reversed(model.bfs_size), color='gray'))
plotter = plt.streamplot if streamplot else plt.quiver
self.plt = plotter(
x,
y,
u,
v,
color='black'
)
self.colorbar = plt.colorbar(label='Pressure')
def save(self, path):
return plt.savefig(path, dpi=300)
def show(self):
return plt.pause(0.0001)
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