def generate_sample_plot(self, output_filename, width=5, height=5, title="Sample Data"):
"""Generates a sample plot of random data"""
# Initialize matplotlib plot formatting to sane defaults
mainmodel.init_matplotlib_defaults()
figure = Figure(figsize=(width, height))
canvas = FigureCanvas(figure)
axes = figure.gca()
x = np.arange(-10, 10)
data = np.sinc(x + random.uniform(-.25, .25))
linestyles = ['_', '-', '--', ':']
colors = ('b', 'g', 'r', 'c', 'm', 'y', 'k')
axes.plot(x, data, linestyle=random.choice(linestyles), marker=".", color=random.choice(colors))
axes.set_title(title)
axes.grid(True)
figure.savefig(output_filename, format='png')
def create_plot(data, title, width, height):
"""Generates a matplotlib Figure instance of the specified data"""
mainmodel.init_matplotlib_defaults()
figure = Figure(figsize=(width, height))
canvas = FigureCanvas(figure)
axes = figure.gca()
if 2 in data.shape:
axes.plot(data[0], data[1])
elif data.ndim == 1:
axes.plot(data)
else:
img = axes.imshow(data, cmap=cm.get_cmap('Spectral'))
figure.colorbar(img)
if len(title) > 20:
title = ''.join([title[:10], "...", title[-10:]])
axes.set_title(title)
axes.grid(True)
return figure
def create_plot(data, title, width, height):
"""Generates a matplotlib Figure instance of the specified data"""
mainmodel.init_matplotlib_defaults()
figure = Figure(figsize=(width, height))
canvas = FigureCanvas(figure)
axes = figure.gca()
if 2 in data.shape:
axes.plot(data[0], data[1])
elif data.ndim == 1:
axes.plot(data)
else:
img = axes.imshow(data, cmap=cm.get_cmap('Spectral'))
figure.colorbar(img)
if len(title) > 20:
title = ''.join([title[:10], "...", title[-10:]])
axes.set_title(title)
axes.grid(True)
return figure
def generate_sample_plot(self,
output_filename,
width=5,
height=5,
title="Sample Data"):
"""Generates a sample plot of random data"""
# Initialize matplotlib plot formatting to sane defaults
mainmodel.init_matplotlib_defaults()
figure = Figure(figsize=(width, height))
canvas = FigureCanvas(figure)
axes = figure.gca()
x = np.arange(-10, 10)
data = np.sinc(x + random.uniform(-.25, .25))
linestyles = ['_', '-', '--', ':']
colors = ('b', 'g', 'r', 'c', 'm', 'y', 'k')
axes.plot(x,
data,
linestyle=random.choice(linestyles),
marker=".",
color=random.choice(colors))
axes.set_title(title)
axes.grid(True)
figure.savefig(output_filename, format='png')
def init_plot_defaults(self):
"""Sets some basic matplotlib configuration parameters
to sane defaults."""
mainmodel.init_matplotlib_defaults()
def init_plot_defaults(self):
"""Sets some basic matplotlib configuration parameters
to sane defaults."""
mainmodel.init_matplotlib_defaults()