def test():
sample_path = os.path.join('examples', 'data', 'sample.wav')
alt_path = os.path.join('..', 'data', 'sample.wav')
fname = find_resource(
'Chaco', sample_path, alt_path=alt_path, return_path=True)
index, data = wav_to_numeric(fname)
print(data[:100])
return index, data
def test():
sample_path = os.path.join('examples','data','sample.wav')
alt_path = os.path.join('..','data','sample.wav')
fname = find_resource('Chaco', sample_path, alt_path=alt_path,
return_path=True)
index, data = wav_to_numeric(fname)
print data[:100]
return index, data
# Enthought imports
from enable.api import Component, ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, Group, View
from traits.util.resource import find_resource
# Chaco imports
from chaco.api import VPlotContainer, ArrayPlotData, Plot, PlotGrid, PlotAxis
from chaco.tools.api import RangeSelection
# Relative imports
from zoom_overlay import ZoomOverlay
sample_path = os.path.join('examples','data','sample.wav')
alt_path = os.path.join('..','data','sample.wav')
fname = find_resource('Chaco', sample_path, alt_path=alt_path,
return_path=True)
numpts = 3000
def read_music_data():
from wav_to_numeric import wav_to_numeric
index, data = wav_to_numeric(fname)
return index[:numpts], data[:numpts]
class ZoomPlot(HasTraits):
'''Encapsulation of the zoom plot concept.
This class organzies the data, plot container and ZoomOverlay required for
a zoom plot. ZoomPlot represents the first step towards a reusable and
extensible generalization of the zoom plot.
# Python lists.
type_manager.register_type_adapters(
ContextAdapterFactory(
adaptee_class=list,
adapter_class=ListContextAdapter,
), list)
# Python objects.
type_manager.register_type_adapters(InstanceContextAdapterFactory(),
object)
# Get the path to the data directory
data_path = os.path.join('examples', 'naming', 'data')
full_path = find_resource('AppTools',
data_path,
alt_path='data',
return_path=True)
# Create the root context.
root = PyFSContext(path=full_path)
root.environment[Context.TYPE_MANAGER] = type_manager
# Create and open the main window.
window = Explorer(root=Binding(name='Root', obj=root))
window.open()
# Start the GUI event loop.
gui.start_event_loop()
##### EOF #####################################################################
from enable.api import Component, ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, Group, View
from traits.util.resource import find_resource
# Chaco imports
from chaco.api import VPlotContainer, ArrayPlotData, Plot, PlotGrid, PlotAxis
from chaco.tools.api import RangeSelection
# Relative imports
from .zoom_overlay import ZoomOverlay
sample_path = os.path.join('examples', 'data', 'sample.wav')
alt_path = os.path.join('..', 'data', 'sample.wav')
fname = find_resource('Chaco',
sample_path,
alt_path=alt_path,
return_path=True)
numpts = 3000
def read_music_data():
from .wav_to_numeric import wav_to_numeric
index, data = wav_to_numeric(fname)
return index[:numpts], data[:numpts]
class ZoomPlot(HasTraits):
'''Encapsulation of the zoom plot concept.
This class organzies the data, plot container and ZoomOverlay required for
a zoom plot. ZoomPlot represents the first step towards a reusable and
class DemoView(HasTraits):
### Public Traits ##########################################################
# A Plot Data object to hold our image data
pd = Instance(ArrayPlotData, ())
# A Plot object to plot our image data
plot = Instance(Plot)
### Private Traits #########################################################
# File name to load image from
resource_path = os.path.join('examples', 'basic', 'capitol.jpg')
alt_path = 'capitol.jpg'
image_path = find_resource('Chaco',
resource_path,
alt_path=alt_path,
return_path=True)
_load_file = File(image_path)
# File name to save image to
_save_file = File
### Traits Views ###########################################################
# This view is for a file dialog to select the 'load' filename
load_file_view = View(
Item('_load_file'),
buttons=OKCancelButtons,
kind='livemodal', # NB must use livemodal, plot objects don't copy well
width=400,
resizable=True,
)
# This view is for a file dialog to select the 'save' filename
save_file_view = View(
Item('_save_file'),
buttons=OKCancelButtons,
kind='livemodal', # NB must use livemodal, plot objects don't copy well
width=400,
resizable=True,
)
#---------------------------------------------------------------------------
# Public 'DemoView' interface
#---------------------------------------------------------------------------
def __init__(self, *args, **kwargs):
super(DemoView, self).__init__(*args, **kwargs)
# Create the plot object, set some options, and add some tools
plot = self.plot = Plot(self.pd, default_origin="top left")
plot.x_axis.orientation = "top"
plot.padding = 50
plot.padding_top = 75
plot.tools.append(PanTool(plot))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Load the default image
self._load()
# Plot the image plot with this image
self.plot.img_plot("imagedata")
def default_traits_view(self):
""" Returns the default view to use for this class.
"""
# NOTE: I moved the view to this method so we can declare a handler
# for the view. Alternatively, we could move the DemoController class
# to the top and declare view=Instance(HasTraits) instead.
traits_view = View(
Item(
'plot',
editor=ComponentEditor(),
show_label=False,
),
menubar=MenuBar(
Menu(
Action(name="Save Plot",
action="save"), # see Controller for
Action(name="Load Plot", action="load"), # these callbacks
Separator(),
CloseAction,
name="File",
), ),
width=600,
height=600,
resizable=True,
handler=DemoController)
return traits_view
#---------------------------------------------------------------------------
# Private 'DemoView' interface
#---------------------------------------------------------------------------
def _save(self):
# Create a graphics context of the right size
win_size = self.plot.outer_bounds
plot_gc = PlotGraphicsContext(win_size)
# Have the plot component into it
plot_gc.render_component(self.plot)
# Save out to the user supplied filename
plot_gc.save(self._save_file)
def _load(self):
try:
# Load the image with the user supplied filename
image = ImageData.fromfile(self._load_file)
# Update the plot data. NB we must extract _date from the image
# for the time being, until ImageData is made more friendly
self.pd.set_data("imagedata", image._data)
# Set the title and redraw
self.plot.title = os.path.basename(self._load_file)
self.plot.request_redraw()
except:
# If loading fails, simply do nothing
pass
# Standard library imports
import os.path
import sys
# Enthought library imports
from traits.util.resource import find_resource
from chaco.shell import imread, imshow, title, show
# Get the image file using the find_resource module
image_path = os.path.join('examples', 'basic', 'capitol.jpg')
alt_path = os.path.join('..', 'basic', 'capitol.jpg')
image_file = find_resource('Chaco', image_path, alt_path=alt_path)
# Check to see if the image was found
if image_file is None:
print('The image "capitol.jpg" could not be found.')
sys.exit()
# Create the image
image = imread(image_file)
# Create the plot
imshow(image, origin="top left")
# Alternatively, you can call imshow using the path to the image file
#imshow(alt_path)
# Add a title
title("Simple Image Plot")
# This command is only necessary if running from command line
type_manager.register_type_adapters(
ContextAdapterFactory(
adaptee_class=list, adapter_class=ListContextAdapter,
),
list
)
# Python objects.
type_manager.register_type_adapters(
InstanceContextAdapterFactory(), object
)
# Get the path to the data directory
data_path = os.path.join('examples','naming','data')
full_path = find_resource('AppTools', data_path, alt_path='data',
return_path=True)
# Create the root context.
root = PyFSContext(path=full_path)
root.environment[Context.TYPE_MANAGER] = type_manager
# Create and open the main window.
window = Explorer(root=Binding(name='Root', obj=root))
window.open()
# Start the GUI event loop.
gui.start_event_loop()
##### EOF #####################################################################
# Standard library imports
import os.path
import sys
# Enthought library imports
from traits.util.resource import find_resource
from chaco.shell import imread, imshow, title, show
# Get the image file using the find_resource module
image_path = os.path.join('examples','basic','capitol.jpg')
alt_path = os.path.join('..','basic','capitol.jpg')
image_file = find_resource('Chaco', image_path, alt_path=alt_path)
# Check to see if the image was found
if image_file is None:
print('The image "capitol.jpg" could not be found.')
sys.exit()
# Create the image
image = imread(image_file)
# Create the plot
imshow(image, origin="top left")
# Alternatively, you can call imshow using the path to the image file
#imshow(alt_path)
# Add a title
title("Simple Image Plot")
# This command is only necessary if running from command line
def __init__(self, *args, **kwargs):
super(Demo, self).__init__(*args, **kwargs)
from imread import imread
imarray = imread(find_resource('imageAlignment', '../images/GIRLS-IN-SPACE.jpg',
'../images/GIRLS-IN-SPACE.jpg', return_path=True))
self.pd = ArrayPlotData(imagedata=imarray)
#self.pd.x_axis.orientation = "top"
self.plot = HPlotContainer()
titles = ["I KEEP DANCE", "ING ON MY OWN"]
self._load()
i = 0
for plc in [Plot, Plot]:
xs = linspace(0, 334*pi, 333)
ys = linspace(0, 334*pi, 333)
x, y = meshgrid(xs,ys)
z = tanh(x*y/6)*cosh(exp(-y**2)*x/3)
z = x*y
_pd = ArrayPlotData()
_pd.set_data("drawdata", z)
_pd.set_data("imagedata", self.pd.get_data('imagedata'))
plc = Plot(_pd,
title="render_style = hold",
padding=50, border_visible=True, overlay_border=True)
self.plot.add(plc)
plc.img_plot("imagedata",
alpha=0.95)
# Create a contour polygon plot of the data
plc.contour_plot("drawdata",
type="poly",
poly_cmap=jet,
xbounds=(0, 499),
ybounds=(0, 582),
alpha=0.35)
# Create a contour line plot for the data, too
plc.contour_plot("drawdata",
type="line",
xbounds=(0, 499),
ybounds=(0, 582),
alpha=0.35)
# Create a plot data obect and give it this data
plc.legend.visible = True
plc.title = titles[i]
i += 1
#plc.plot(("index", "y0"), name="j_0", color="red", render_style="hold")
#plc.padding = 50
#plc.padding_top = 75
plc.tools.append(PanTool(plc))
zoom = ZoomTool(component=plc, tool_mode="box", always_on=False)
plc.overlays.append(zoom)
# Tweak some of the plot properties
plc.padding = 50
#zoom = ZoomTool(component=plot1, tool_mode="box", always_on=False)
#plot1.overlays.append(zoom)
# Attach some tools to the plot
#attach_tools(plc)
plc.bg_color = None
plc.fill_padding = True
