def _create_plot_component():
# Create some x-y data series to plot
x = linspace(1.0, 8.0, 200)
pd = ArrayPlotData(index = x)
pd.set_data("y0", sqrt(x))
pd.set_data("y1", x)
pd.set_data("y2", x**2)
pd.set_data("y3", exp(x))
pd.set_data("y4", gamma(x))
pd.set_data("y5", x**x)
# Create some line plots of some of the data
plot = Plot(pd)
plot.plot(("index", "y0"), line_width=2, name="sqrt(x)", color="purple")
plot.plot(("index", "y1"), line_width=2, name="x", color="blue")
plot.plot(("index", "y2"), line_width=2, name="x**2", color="green")
plot.plot(("index", "y3"), line_width=2, name="exp(x)", color="gold")
plot.plot(("index", "y4"), line_width=2, name="gamma(x)",color="orange")
plot.plot(("index", "y5"), line_width=2, name="x**x", color="red")
# Set the value axis to display on a log scale
plot.value_scale = "log"
# Tweak some of the plot properties
plot.title = "Log Plot"
plot.padding = 50
plot.legend.visible = True
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
return plot
def stairstep_plot(energy, data, data_name):
# Munge the data into a plotable form
x, y = stair_step(energy, data)
# Create a plot data obect and give it this data
pd = ArrayPlotData()
pd.set_data("index", x)
pd.set_data("value", y)
# Create the plot
plot = Plot(pd)
plot.plot(("index", "value"),
type="line",
marker="circle",
index_sort="ascending",
color="red",
marker_size=3,
bgcolor="white")
# Tweak some of the plot properties
plot.title = data_name
plot.line_width = 0.5
plot.padding = 100
plot.x_axis.title = "Energy [MeV]"
plot.x_axis.title_font = "Roman 16"
plot.x_axis.tick_label_font = "Roman 12"
plot.y_axis.title = "Data"
plot.y_axis.title_font = "Roman 16"
plot.y_axis.tick_label_font = "Roman 12"
plot.index_scale = 'log'
plot.value_scale = 'log'
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
return plot
