block by michalskop 9865376

UA: Changes in Parliamentary Groups with connection to Maidan and Crimea

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index.html

<!DOCTYPE html>
<meta charset="utf-8">
<title>Ukrainian Parliament 2012-2014/03</title>

<link rel="stylesheet" href="//netdna.bootstrapcdn.com/bootstrap/3.0.2/css/bootstrap.min.css">

<style>

#chart {
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h1 {
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</style>
<body>
    <div class="navbar navbar-inverse navbar-fixed-top" role="navigation">
      <div class="container">
        <div class="navbar-header">
          <a class="navbar-brand" href="#"><h1>Changes in Parliamentary groups in Ukrainian Parliament (Verkhovna Rada/Верховна Рада) (through 03/2014)</h1></a>
        </div>
      </div>
    </div>
<h1>Changes in Parliamentary groups in Ukrainian Parliament (through 03/2014)</h1>
<div style="position:relative;top:35px;z-index:1000;">
  <div class="alert alert-info" >
  How Ukraninian MPs were changing political groups, particularly during the beginning of 2014.<br/>
  The former majority (through 2013) had Party of Regions (Партія регіонів) and Communist Party (Компартія України)
  </div>
</div>
<p id="chart"></p>


<script src="//d3js.org/d3.v2.min.js?2.9.1"></script>
<script src="sankey.js"></script>
<script>

var margin = {top: 20, right: 1, bottom: 60, left: 1},
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var formatNumber = d3.format(",.0f"),
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var sankey = d3.sankey()
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names = ['12/2012','01/2013','01/2014','04/2014'];
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csv2sankey.py

# -*- coding: utf-8 -*-

import csv
import time
from datetime import datetime
from dateutil.relativedelta import relativedelta
import json

groups = {
    "Батьківщина (Fatherland-Tymoshenko)":{
      'name': "Батьківщина (Fatherland-Tymoshenko)",
      'color': '#DC143C'
    },
    "Економічний розвиток (Economic Development-Kinakh)":{
      'name': "Економічний розвиток (Economic Development-Kinakh)",
      'color': '#666'
    },
    "Компартія України (Communist Party of Ukraine-Symonenko)":{
      'name': "Компартія України (Communist Party of Ukraine-Symonenko)",
      'color': '#BF0C0C'
    },
    "Партія регіонів (Party of Regions-Yanukovych-Azarov)":{
      'name': "Партія регіонів (Party of Regions-Yanukovych-Azarov)",
      'color': '#0047AB'
    },
    "Позафракційні (Independents)":{
      'name' : "Позафракційні (Independents)",
      'color': '#888'
    },
    "Свобода (Freedom-Tyahnybok)":{
      'name': "Свобода (Freedom-Tyahnybok)",
      'color': '#002072'
    },
    "Суверенна європейська Україна (Sovereign European Ukraine-Yeremeyev)":{
      'name': "Суверенна європейська Україна (Sovereign European Ukraine-Yeremeyev)",
      'color': '#777'
    },
    "УДАР Віталія Кличка (UDAR-Klitschko)":{
      'name': "УДАР Віталія Кличка (UDAR-Klitschko)",
      'color': '#f00'
    }
}



mpnodes = {}
mp = {}
k = 0
with open("ua2012-2014.csv","r") as fin:
  finreader = csv.reader(fin,delimiter=",")
  for row in finreader:
    try:
      mp[row[0]]['row'] = row
    except:
      mp[row[0]] = {'row':row,'last_time':'2000'}
    
    if int(row[1]) == 4212:
      yearmonth = '2015'
    else:
      yearmonth = time.strftime("%Y",time.strptime(row[2],"%Y-%m-%d %H:%M"))
    
    if yearmonth > mp[row[0]]['last_time']:
      try:
        mpnodes[row[0]][yearmonth] = row[5]
      except:
        mpnodes[row[0]] = {}
        mpnodes[row[0]][yearmonth] = row[5]
      mp[row[0]]['last_time'] = yearmonth
    
    k = k + 1  
#    if k > 30000: 
#      break 
#      print mpnodes[row[0]]
#      raise(Exception,'dipy')

print mpnodes[row[0]]

linksd = {}
nodesd = {}
j = 0
for key0 in mpnodes:
  for key in mpnodes[key0]:
    try:
      nodesd[mpnodes[key0][key] + '-' + key]
    except:
      nodesd[mpnodes[key0][key] + '-' + key] = groups[mpnodes[key0][key]].copy()
      nodesd[mpnodes[key0][key] + '-' + key]['j'] = j
      j = j + 1
    
    tmp = datetime.strptime(key,"%Y") + relativedelta(years=-1)
    previous_month = tmp.strftime("%Y")
    
#    print previous_month
#    print key0
#    print mpnodes[key0][key]
#    if int(previous_month) > 2011:
#      print str(previous_month)
#      print key
#      print mpnodes[key0][key]
#      print mpnodes[key0][previous_month]
#      sourcek = mpnodes[key0][previous_month]
#      print "haha:" + sourcek 
    try:
      mpnodes[key0][previous_month]
    except:
      nothing = 0
    else: 
        sourcek = mpnodes[key0][previous_month] + '-' + previous_month
        #print "hihi:" + sourcek 
        targetk = mpnodes[key0][key] + '-' + key
        try:
          nodesd[sourcek]
        except:
          nothing = 0
          #print sourcek
        else:
          try:
            linksd[sourcek]
          except:
            linksd[sourcek] = {}
          try:
            linksd[sourcek][targetk]
          except:
            linksd[sourcek][targetk] = {
              'source': nodesd[sourcek]['j'],
              'target': nodesd[targetk]['j'],
              'value': 0
            }
            print "sourcek:"+sourcek
            print "sourcej:"+str(nodesd[sourcek]['j'])
            print "targetk:"+targetk
            print "targetj:"+str(nodesd[targetk]['j'])
            
          linksd[sourcek][targetk]['value'] = linksd[sourcek][targetk]['value'] + 1
      

#print nodesd
#print linksd

nodes = []
links = []
for key in nodesd:
  nodes.append(nodesd[key])
for key0 in linksd:
  for key in linksd[key0]:
    links.append(linksd[key0][key])

print nodes
print links

sortednodes = sorted(nodes, key=lambda k: k['j'])

out = {
  'nodes': sortednodes,
  'links': links
}

with open('sankey.json', 'w') as outfile:
  json.dump(out, outfile)  

sankey.js

d3.sankey = function() {
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      nodePadding = 8,
      size = [1, 1],
      nodes = [],
      links = [];

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    if (!arguments.length) return nodeWidth;
    nodeWidth = +_;
    return sankey;
  };

  sankey.nodePadding = function(_) {
    if (!arguments.length) return nodePadding;
    nodePadding = +_;
    return sankey;
  };

  sankey.nodes = function(_) {
    if (!arguments.length) return nodes;
    nodes = _;
    return sankey;
  };

  sankey.links = function(_) {
    if (!arguments.length) return links;
    links = _;
    return sankey;
  };

  sankey.size = function(_) {
    if (!arguments.length) return size;
    size = _;
    return sankey;
  };

  sankey.layout = function(iterations) {
    computeNodeLinks();
    computeNodeValues();
    computeNodeBreadths();
    computeNodeDepths(iterations);
    computeLinkDepths();
    return sankey;
  };

  sankey.relayout = function() {
    computeLinkDepths();
    return sankey;
  };

  sankey.link = function() {
    var curvature = .5;

    function link(d) {
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          x1 = d.target.x,
          xi = d3.interpolateNumber(x0, x1),
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      return "M" + x0 + "," + y0
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           + " " + x1 + "," + y1;
    }

    link.curvature = function(_) {
      if (!arguments.length) return curvature;
      curvature = +_;
      return link;
    };

    return link;
  };

  // Populate the sourceLinks and targetLinks for each node.
  // Also, if the source and target are not objects, assume they are indices.
  function computeNodeLinks() {
    nodes.forEach(function(node) {
      node.sourceLinks = [];
      node.targetLinks = [];
    });
    links.forEach(function(link) {
      var source = link.source,
          target = link.target;
      if (typeof source === "number") source = link.source = nodes[link.source];
      if (typeof target === "number") target = link.target = nodes[link.target];
      source.sourceLinks.push(link);
      target.targetLinks.push(link);
    });
  }

  // Compute the value (size) of each node by summing the associated links.
  function computeNodeValues() {
    nodes.forEach(function(node) {
      node.value = Math.max(
        d3.sum(node.sourceLinks, value),
        d3.sum(node.targetLinks, value)
      );
    });
  }

  // Iteratively assign the breadth (x-position) for each node.
  // Nodes are assigned the maximum breadth of incoming neighbors plus one;
  // nodes with no incoming links are assigned breadth zero, while
  // nodes with no outgoing links are assigned the maximum breadth.
  function computeNodeBreadths() {
    var remainingNodes = nodes,
        nextNodes,
        x = 0;

    while (remainingNodes.length) {
      nextNodes = [];
      remainingNodes.forEach(function(node) {
        node.x = x;
        node.dx = nodeWidth;
        node.sourceLinks.forEach(function(link) {
          nextNodes.push(link.target);
        });
      });
      remainingNodes = nextNodes;
      ++x;
    }

    //
    moveSinksRight(x);
    scaleNodeBreadths((width - nodeWidth) / (x - 1));
  }

  function moveSourcesRight() {
    nodes.forEach(function(node) {
      if (!node.targetLinks.length) {
        node.x = d3.min(node.sourceLinks, function(d) { return d.target.x; }) - 1;
      }
    });
  }

  function moveSinksRight(x) {
    nodes.forEach(function(node) {
      if (!node.sourceLinks.length) {
        node.x = x - 1;
      }
    });
  }

  function scaleNodeBreadths(kx) {
    nodes.forEach(function(node) {
      node.x *= kx;
    });
  }

  function computeNodeDepths(iterations) {
    var nodesByBreadth = d3.nest()
        .key(function(d) { return d.x; })
        .sortKeys(d3.ascending)
        .entries(nodes)
        .map(function(d) { return d.values; });

    //
    initializeNodeDepth();
    resolveCollisions();
    for (var alpha = 1; iterations > 0; --iterations) {
      relaxRightToLeft(alpha *= .99);
      resolveCollisions();
      relaxLeftToRight(alpha);
      resolveCollisions();
    }

    function initializeNodeDepth() {
      var ky = d3.min(nodesByBreadth, function(nodes) {
        return (size[1] - (nodes.length - 1) * nodePadding) / d3.sum(nodes, value);
      });

      nodesByBreadth.forEach(function(nodes) {
        nodes.forEach(function(node, i) {
          node.y = i;
          node.dy = node.value * ky;
        });
      });

      links.forEach(function(link) {
        link.dy = link.value * ky;
      });
    }

    function relaxLeftToRight(alpha) {
      nodesByBreadth.forEach(function(nodes, breadth) {
        nodes.forEach(function(node) {
          if (node.targetLinks.length) {
            var y = d3.sum(node.targetLinks, weightedSource) / d3.sum(node.targetLinks, value);
            node.y += (y - center(node)) * alpha;
          }
        });
      });

      function weightedSource(link) {
        return center(link.source) * link.value;
      }
    }

    function relaxRightToLeft(alpha) {
      nodesByBreadth.slice().reverse().forEach(function(nodes) {
        nodes.forEach(function(node) {
          if (node.sourceLinks.length) {
            var y = d3.sum(node.sourceLinks, weightedTarget) / d3.sum(node.sourceLinks, value);
            node.y += (y - center(node)) * alpha;
          }
        });
      });

      function weightedTarget(link) {
        return center(link.target) * link.value;
      }
    }

    function resolveCollisions() {
      nodesByBreadth.forEach(function(nodes) {
        var node,
            dy,
            y0 = 0,
            n = nodes.length,
            i;

        // Push any overlapping nodes down.
        nodes.sort(ascendingDepth);
        for (i = 0; i < n; ++i) {
          node = nodes[i];
          dy = y0 - node.y;
          if (dy > 0) node.y += dy;
          y0 = node.y + node.dy + nodePadding;
        }

        // If the bottommost node goes outside the bounds, push it back up.
        dy = y0 - nodePadding - size[1];
        if (dy > 0) {
          y0 = node.y -= dy;

          // Push any overlapping nodes back up.
          for (i = n - 2; i >= 0; --i) {
            node = nodes[i];
            dy = node.y + node.dy + nodePadding - y0;
            if (dy > 0) node.y -= dy;
            y0 = node.y;
          }
        }
      });
    }

    function ascendingDepth(a, b) {
      return a.y - b.y;
    }
  }

  function computeLinkDepths() {
    nodes.forEach(function(node) {
      node.sourceLinks.sort(ascendingTargetDepth);
      node.targetLinks.sort(ascendingSourceDepth);
    });
    nodes.forEach(function(node) {
      var sy = 0, ty = 0;
      node.sourceLinks.forEach(function(link) {
        link.sy = sy;
        sy += link.dy;
      });
      node.targetLinks.forEach(function(link) {
        link.ty = ty;
        ty += link.dy;
      });
    });

    function ascendingSourceDepth(a, b) {
      return a.source.y - b.source.y;
    }

    function ascendingTargetDepth(a, b) {
      return a.target.y - b.target.y;
    }
  }

  function center(node) {
    return node.y + node.dy / 2;
  }

  function value(link) {
    return link.value;
  }

  return sankey;
};

sankey.json

{"nodes": [{"color": "#666", "j": 0, "name": "\u0415\u043a\u043e\u043d\u043e\u043c\u0456\u0447\u043d\u0438\u0439 \u0440\u043e\u0437\u0432\u0438\u0442\u043e\u043a (Economic Development-Kinakh)"}, {"color": "#0047AB", "j": 1, "name": "\u041f\u0430\u0440\u0442\u0456\u044f \u0440\u0435\u0433\u0456\u043e\u043d\u0456\u0432 (Party of Regions-Yanukovych-Azarov)"}, {"color": "#0047AB", "j": 2, "name": "\u041f\u0430\u0440\u0442\u0456\u044f \u0440\u0435\u0433\u0456\u043e\u043d\u0456\u0432 (Party of Regions-Yanukovych-Azarov)"}, {"color": "#0047AB", "j": 3, "name": "\u041f\u0430\u0440\u0442\u0456\u044f \u0440\u0435\u0433\u0456\u043e\u043d\u0456\u0432 (Party of Regions-Yanukovych-Azarov)"}, {"color": "#888", "j": 4, "name": "\u041f\u043e\u0437\u0430\u0444\u0440\u0430\u043a\u0446\u0456\u0439\u043d\u0456 (Independents)"}, {"color": "#BF0C0C", "j": 5, "name": "\u041a\u043e\u043c\u043f\u0430\u0440\u0442\u0456\u044f \u0423\u043a\u0440\u0430\u0457\u043d\u0438 (Communist Party of Ukraine-Symonenko)"}, {"color": "#BF0C0C", "j": 6, "name": "\u041a\u043e\u043c\u043f\u0430\u0440\u0442\u0456\u044f \u0423\u043a\u0440\u0430\u0457\u043d\u0438 (Communist Party of Ukraine-Symonenko)"}, {"color": "#BF0C0C", "j": 7, "name": "\u041a\u043e\u043c\u043f\u0430\u0440\u0442\u0456\u044f \u0423\u043a\u0440\u0430\u0457\u043d\u0438 (Communist Party of Ukraine-Symonenko)"}, {"color": "#BF0C0C", "j": 8, "name": "\u041a\u043e\u043c\u043f\u0430\u0440\u0442\u0456\u044f \u0423\u043a\u0440\u0430\u0457\u043d\u0438 (Communist Party of Ukraine-Symonenko)"}, {"color": "#0047AB", "j": 9, "name": "\u041f\u0430\u0440\u0442\u0456\u044f \u0440\u0435\u0433\u0456\u043e\u043d\u0456\u0432 (Party of Regions-Yanukovych-Azarov)"}, {"color": "#f00", "j": 10, "name": "\u0423\u0414\u0410\u0420 \u0412\u0456\u0442\u0430\u043b\u0456\u044f \u041a\u043b\u0438\u0447\u043a\u0430 (UDAR-Klitschko)"}, {"color": "#f00", "j": 11, "name": "\u0423\u0414\u0410\u0420 \u0412\u0456\u0442\u0430\u043b\u0456\u044f \u041a\u043b\u0438\u0447\u043a\u0430 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