def _create_plot_component():
# Create a GridContainer to hold all of our plots: 2 rows, 3 columns:
container = GridContainer(padding=40,
fill_padding=True,
bgcolor="lightgray",
use_backbuffer=True,
shape=(2, 3),
spacing=(20, 20))
# Create the initial series of data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index=x)
# Plot some bessel functions and add the plots to our container
for i in range(6):
pd.set_data("y" + str(i), jn(i, x))
plot = Plot(pd)
plot.plot(("index", "y" + str(i)),
color=tuple(COLOR_PALETTE[i]),
line_width=2.0,
bgcolor="white",
border_visible=True)
# Tweak some of the plot properties
plot.border_width = 1
plot.padding = 0
plot.padding_top = 30
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Add to the grid container (
container.add(plot)
# Set the upper-left plot to only be resizable vertically, and to have a
# fixed horizontal width. This also constrains the width of the first column.
ul_plot = container.components[0]
ul_plot.set(resizable="v", width=200)
ul_plot.overlays.append(
PlotLabel("Not horizontally resizable", component=ul_plot))
# Set the bottom center plot to have a fixed width and height.
# This also constrains the height of the bottom row and the width of
# the middle column.
cplot = container.components[4]
cplot.set(resizable="", bounds=[400, 400])
cplot.overlays.append(PlotLabel("Not resizable", component=cplot))
container.padding_top = 50
container.overlays.append(
PlotLabel(
'Resize the window - some plots resize, others cannot '
'(see source code)',
component=container,
font="swiss 16",
overlay_position="top"))
return container
def _create_plot_component():
# Create a GridContainer to hold all of our plots
container = GridContainer(padding=20, fill_padding=True,
bgcolor="lightgray", use_backbuffer=True,
shape=(3,3), spacing=(12,12))
# Create the initial series of data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index = x)
# Plot some bessel functions and add the plots to our container
for i in range(9):
pd.set_data("y" + str(i), jn(i,x))
plot = Plot(pd)
plot.plot(("index", "y" + str(i)),
color=tuple(COLOR_PALETTE[i]), line_width=2.0,
bgcolor = "white", border_visible=True)
# Tweak some of the plot properties
plot.border_width = 1
plot.padding = 10
# Set each plot's aspect ratio based on its position in the
# 3x3 grid of plots.
n,m = divmod(i, 3)
plot.aspect_ratio = float(n+1) / (m+1)
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Add to the grid container
container.add(plot)
return container
def _create_plot_component():
# Create a GridContainer to hold all of our plots: 2 rows, 3 columns:
container = GridContainer(padding=40, fill_padding=True,
bgcolor="lightgray", use_backbuffer=True,
shape=(2,3), spacing=(20,20))
# Create the initial series of data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index = x)
# Plot some bessel functions and add the plots to our container
for i in range(6):
pd.set_data("y" + str(i), jn(i,x))
plot = Plot(pd)
plot.plot(("index", "y" + str(i)),
color=tuple(COLOR_PALETTE[i]), line_width=2.0,
bgcolor = "white", border_visible=True)
# Tweak some of the plot properties
plot.border_width = 1
plot.padding = 0
plot.padding_top = 30
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Add to the grid container (
container.add(plot)
# Set the upper-left plot to only be resizable vertically, and to have a
# fixed horizontal width. This also constrains the width of the first column.
ul_plot = container.components[0]
ul_plot.set(resizable="v", width=200)
ul_plot.overlays.append(PlotLabel("Not horizontally resizable",
component=ul_plot))
# Set the bottom center plot to have a fixed width and height.
# This also constrains the height of the bottom row and the width of
# the middle column.
cplot = container.components[4]
cplot.set(resizable="", bounds=[400,400])
cplot.overlays.append(PlotLabel("Not resizable", component=cplot))
container.padding_top = 50
container.overlays.append(
PlotLabel('Resize the window - some plots resize, others cannot '
'(see source code)',
component=container,
font = "swiss 16",
overlay_position = "top"))
return container
def intensity_histogram_plot_component(self):
data = ArrayPlotData(x=self.bin_edges, y=self.hist)
plot = Plot(data)
plot.plot(
('x', "y"),
type='bar',
color='auto',
bar_width=1,
)
# without padding plot just doesn't seem to show up?
plot.border_width = 0
plot.padding = 0
plot.padding_top = 0
return plot
def _create_plot_component():
# Create a GridContainer to hold all of our plots
container = GridContainer(padding=40, fill_padding=True,
bgcolor="lightgray", use_backbuffer=True,
shape=(2,3), spacing=(20,20))
# Create the initial series of data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index = x)
# Plot some bessel functions and add the plots to our container
for i in range(6):
pd.set_data("y" + str(i), jn(i,x))
plot = Plot(pd)
plot.plot(("index", "y" + str(i)),
color=tuple(COLOR_PALETTE[i]), line_width=2.0,
bgcolor = "white", border_visible=True)
# Tweak some of the plot properties
plot.border_width = 1
plot.padding = 0
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Add to the grid container
container.add(plot)
# Set the upper-left plot to only be resizable vertically, and to have
# a fixed horizontal width
ul_plot = container.components[0]
ul_plot.set(resizable="v", padding_top=30, width=200)
ul_plot.overlays.append(PlotLabel("Vertically resizable",
component=ul_plot))
# Set the bottom center plot to have a fixed width and height
cplot = container.components[4]
cplot.set(resizable="", padding_top = 30, bounds=[400,400])
cplot.overlays.append(PlotLabel("Not resizable", component=cplot))
return container
def _create_plot_component():
# Create a GridContainer to hold all of our plots
container = GridContainer(padding=20,
fill_padding=True,
bgcolor="lightgray",
use_backbuffer=True,
shape=(3, 3),
spacing=(12, 12))
# Create the initial series of data
x = linspace(-5, 15.0, 100)
pd = ArrayPlotData(index=x)
# Plot some bessel functions and add the plots to our container
for i in range(9):
pd.set_data("y" + str(i), jn(i, x))
plot = Plot(pd)
plot.plot(("index", "y" + str(i)),
color=tuple(COLOR_PALETTE[i]),
line_width=2.0,
bgcolor="white",
border_visible=True)
# Tweak some of the plot properties
plot.border_width = 1
plot.padding = 10
# Set each plot's aspect ratio based on its position in the
# 3x3 grid of plots.
n, m = divmod(i, 3)
plot.aspect_ratio = float(n + 1) / (m + 1)
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Add to the grid container
container.add(plot)
return container
