cf_neural_average_potential_pre_spike

_.md

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config.json

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details.csv

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details2.csv

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inlet.coffee

svg = d3.select("svg")
svg.append("rect").attr({width:"100%", height:"100%", fill: '#E2E2E2'})
  
style_one = 
  fill: '#C5C5C5', 
  stroke: '#686868'
  'stroke-width': 1

group1 = svg.append('g')
  .classed('group1', true)
  .attr
    transform: 'translate(' + [172, 367] + ')'
    
data = tributary.details
data2 = tributary.details2

# this is some sick notation. ..i don't like it. 
#_".map" is the function and "data, (d)" are the arguments to it
data = _.map data,(d) ->
  d.op1 = +d.op1                         
  d

data2 = _.map data2,(d) ->
  d.op2 = +d.op2                         
  d
  
  
            
gop1 = group1.append("g").classed("op1", true)
gop2 = group1.append("g").classed("op2", true)

gop1.append("path")
  .attr 
     d: () ->
        xpos = 0
        path = "M"
        for val in data
            x_comp = " " + (xpos += 4)
            y_comp = " " + (-val.op1*10)
            path += x_comp + y_comp 
        
.style
   "stroke-width": 1
   "fill": "none"


gop2.append("path")
  .attr 
     d: () ->
        xpos = 0
        path = "M"
        for val in data2
            x_comp = " " + (xpos += 4)
            y_comp = " " + (-val.op1*10)
            path += x_comp + y_comp 
        
  .style
    "stroke-width": 1
    "fill": "none"



# EOF #

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