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.. _pltshape_doc:
PlotShape
---------
.. class:: PlotShape
Class for making a Shape window useful for coloring a shape
according to a variable value and creating time and space graphs
of a variable. The default variable is *v*. The first arg may be
a SectionList.
----
.. method:: PlotShape.plot
Syntax:
``ps.plot(graphics_object)``
Description:
In NEURON 7.7+, PlotShape.plot works both with and without Interviews support.
Variables, sectionlists, and scale are supported.
Clicking on a segment displays the value and the segment id.
Extra arguments and keyword arguments are passed to the underlying graphics library
(currently only matplotlib ``Figure`` objects, ``pyplot``, and ``plotly`` are
supported, with plotly support added in 7.8).
.. note::
If Interviews is enabled, the flag ``False`` must be passed to the ``h.PlotShape``
constructor to avoid additionally displaying a PlotShape using Interviews graphics.
See the example:
Example:
If no seclist argument is provided, PlotShape.plot will plot all sections
.. code-block::
python
from neuron import h
from matplotlib import pyplot
h.load_file('c91662.ses') # a morphology file
for sec in h.allsec():
if 'apic' in str(sec):
sec.v = 0
ps = h.PlotShape(False) # False tells h.PlotShape not to use NEURON's gui
ps.plot(pyplot)
pyplot.show()
.. note::
In Jupyter, you can use %matplotlib notebook to get interactive PlotShape
or use plotly instead.
Example:
You can also pass in a SectionList argument to only plot specific sections
.. code-block::
python
from neuron import h
from matplotlib import pyplot, cm
h.load_file('c91662.ses')
sl = h.SectionList([sec for sec in h.allsec() if 'apic' in str(sec)])
for sec in sl:
sec.v = 0
ps = h.PlotShape(sl, False)
ps.scale(-80, 40)
ps.variable('v')
ax = ps.plot(pyplot, cmap=cm.jet)
pyplot.show()
----
.. method:: PlotShape.scale
Syntax:
``.scale(low, high)``
Description:
Sets blue and red values for the color scale and default axes for
time and space plots.
----
.. method:: PlotShape.view
.. seealso::
:meth:`Shape.view`
----
.. method:: PlotShape.size
.. seealso::
:meth:`Shape.size`
----
.. method:: PlotShape.view_count
.. seealso::
:meth:`Shape.view_count`
----
.. method:: PlotShape.show
.. seealso::
:meth:`Shape.show`
----
.. method:: PlotShape.flush
.. seealso::
:meth:`Shape.flush`
----
.. method:: PlotShape.fastflush
Syntax:
``shapeplot.fastflush()``
Description:
Speeds up drawing of :meth:`PlotShape.hinton` elements.
----
.. method:: PlotShape.variable
Syntax:
``.variable("rangevar")``
Description:
Range variable (v, m_hh, etc.) to be used for time, space, and
shape plots.
----
.. method:: PlotShape.save_name
.. seealso::
:meth:`Shape.save_name`
----
.. method:: PlotShape.unmap
.. seealso::
:meth:`Shape.unmap`
----
.. method:: PlotShape.printfile
.. seealso::
:meth:`Shape.printfile`
----
.. method:: PlotShape.menu_action
.. seealso::
:meth:`Graph.menu_action`
----
.. method:: PlotShape.menu_tool
.. seealso::
:meth:`Shape.menu_tool`
----
.. method:: PlotShape.observe
.. seealso::
:meth:`Shape.observe`
----
.. method:: PlotShape.nearest
.. seealso::
:meth:`Shape.nearest`
----
.. method:: PlotShape.push_selected
.. seealso::
:meth:`Shape.push_selected`
----
.. method:: PlotShape.exec_menu
.. seealso::
:meth:`Graph.exec_menu`
----
.. method:: PlotShape.erase
.. seealso::
:meth:`Graph.erase`
----
.. method:: PlotShape.erase_all
Description:
Erases everything in the PlotShape, including all Sections and hinton plots
.. seealso::
:meth:`Graph.erase_all`, :meth:`PlotShape.observe`, :meth:`PlotShape.hinton`
----
.. method:: PlotShape.beginline
.. seealso::
:meth:`Graph.beginline`
----
.. method:: PlotShape.line
.. seealso::
:meth:`Graph.line`
----
.. method:: PlotShape.mark
Syntax:
``ps = h.PlotShape(False)``
``ps.plot(pyplot).mark(h.soma[0](0.5)).mark(h.apical_dendrite[68](1))``
``plt.show()``
Description:
Above syntax is allowed in NEURON 7.7+, for older versions:
.. seealso::
:meth:`Graph.mark`
----
.. method:: PlotShape.label
.. seealso::
:meth:`Graph.label`
----
.. method:: PlotShape.color
Syntax:
``shape.color(i, sec=sec)``
Description:
colors the specified section according to color index
(index same as specified in Graph class). If there are several
sections to color it is more efficient to make a SectionList and
use \ ``.color_list``
----
.. method:: PlotShape.color_all
Syntax:
``.color_all(i)``
Description:
colors all the sections
----
.. method:: PlotShape.color_list
Syntax:
``.color_list(SectionList, i)``
Description:
colors the sections in the list
----
.. method:: PlotShape.colormap
Syntax:
``s.colormap(size, [global = 0])``
``s.colormap(index, red, green, blue)``
Description:
If the optional global argument is 1 then these functions refer to
the global (default) Colormap and a change will affect all PlotShape instances
that use it. Otherwise these function create a colormap that is local to
this PlotShape.
With a single argument, destroys the old and creates a new colormap
for shape plots with space for size colors. All colors are initialized to
gray.
The four argument syntax, specifies the color of the index element of the
colormap. the red, green, and blue must be integers within the range 0-255
and specify the intensity of these colors.
If an existing colormap is displayed in the view, it will be redrawn with
the proper colors when :meth:`PlotShape.scale` is called.
----
.. method:: PlotShape.hinton
Syntax:
``s.hinton(_ref_varname, x, y, size)``
``s.hinton(_ref_varname, x, y, xsize, ysize)``
Description:
A filled square or rectangle is drawn with center at (x, y) and edge length given by
size. The color depends on the :meth:`PlotShape.colormap` and :meth:`PlotShape.scale`
and is redrawn on :meth:`PlotShape.flush`.
If there are many of these elements then :meth:`PlotShape.fastflush` can
speed plotting by up to a factor of 4 if not too many elements change
color between fastflush calls.
Example:
.. code-block::
python
from neuron import h, gui
import time
soma = h.Section(name="soma")
sl = h.SectionList()
s = h.PlotShape(sl)
s.colormap(3)
s.colormap(0, 255, 0, 0)
s.colormap(1, 255, 255, 0)
s.colormap(2, 200, 200, 200)
s.scale(0, 2)
nx = 30
ny = 30
vec = h.Vector(nx*ny)
vec.fill(0)
for i in range(nx):
for j in range(ny):
s.hinton(vec._ref_x[i*ny + j], float(i)/nx, float(j)/ny, 1./nx)
s.size(-.5, 1, 0, 1)
s.exec_menu("Shape Plot")
r = h.Random()
r.poisson(.01)
h.doNotify()
def p():
for i in range(1,1001):
vec.setrand(r)
s.fastflush() # faster by up to a factor of 4
h.doNotify()
start = time.perf_counter()
p()
print(time.perf_counter() - start)
----
.. method:: PlotShape.len_scale
Syntax:
``shape.len_scale(scl, sec=sec)``
Description:
See :meth:`Shape.len_scale`
----
.. method:: PlotShape.rotate
Syntax:
``shape.rotate()``
``shape.rotate(xorg, yorg, zorg, xrad, yrad, zrad)``
Description:
See :meth:`Shape.rotate`
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