{"url":"https://api.github.com/gists/6186172","forks_url":"https://api.github.com/gists/6186172/forks","commits_url":"https://api.github.com/gists/6186172/commits","id":"6186172","node_id":"MDQ6R2lzdDYxODYxNzI=","git_pull_url":"https://gist.github.com/6186172.git","git_push_url":"https://gist.github.com/6186172.git","html_url":"https://gist.github.com/mbostock/6186172","files":{".block":{"filename":".block","type":"text/plain","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/6186172/raw/703d310b399098a243a76a50bc209167e924cfd2/.block","size":17,"truncated":false,"content":"license: gpl-3.0\n","encoding":"utf-8"},"README.md":{"filename":"README.md","type":"text/markdown","language":"Markdown","raw_url":"https://gist.githubusercontent.com/mbostock/6186172/raw/b4b0cf22d2c64b5c88e0706b5e7f68453cd173bc/README.md","size":376,"truncated":false,"content":"This example demonstrates how to create left-aligned axis labels using post-selection. First, the scale’s domain and range are extended by one month on either end to create additional space for the first and last tick. Then, after the axis is rendered, the text label elements are selected, and then attributes on the elements are modified to customize the label appearance.","encoding":"utf-8"},"index.html":{"filename":"index.html","type":"text/html","language":"HTML","raw_url":"https://gist.githubusercontent.com/mbostock/6186172/raw/194170916158e4524dd11f157e3128e5b5cc8f95/index.html","size":1216,"truncated":false,"content":"<!DOCTYPE html>\n<meta charset=\"utf-8\">\n<style>\n\n.axis text {\n  font: 10px sans-serif;\n}\n\n.axis line,\n.axis path {\n  fill: none;\n  stroke: #000;\n  shape-rendering: crispEdges;\n}\n\n</style>\n<body>\n<script src=\"//d3js.org/d3.v3.min.js\"></script>\n<script>\n\nvar margin = {top: 250, right: 40, bottom: 250, left: 40},\n    width = 960 - margin.left - margin.right,\n    height = 500 - margin.top - margin.bottom;\n\nvar t1 = new Date(2012, 0, 1),\n    t2 = new Date(2013, 0, 1),\n    t0 = d3.time.month.offset(t1, -1),\n    t3 = d3.time.month.offset(t2, +1);\n\nvar x = d3.time.scale()\n    .domain([t0, t3])\n    .range([t0, t3].map(d3.time.scale()\n      .domain([t1, t2])\n      .range([0, width])));\n\nvar xAxis = d3.svg.axis()\n    .scale(x)\n    .orient(\"bottom\");\n\nvar svg = d3.select(\"body\").append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n  .append(\"g\")\n    .attr(\"transform\", \"translate(\" + margin.left + \",\" + margin.top + \")\");\n\nsvg.append(\"g\")\n    .attr(\"class\", \"x axis\")\n    .attr(\"transform\", \"translate(0,\" + height + \")\")\n    .call(xAxis)\n  .selectAll(\"text\")\n    .attr(\"y\", 6)\n    .attr(\"x\", 6)\n    .style(\"text-anchor\", \"start\");\n\n</script>\n","encoding":"utf-8"},"thumbnail.png":{"filename":"thumbnail.png","type":"image/png","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/6186172/raw/81c0ae16a22a509c7f9f3c5ac5937ac8e9033e86/thumbnail.png","size":5350,"truncated":false,"content":"iVBORw0KGgoAAAANSUhEUgAAAOYAAAB4CAIAAABpZBnfAAAKhGlDQ1BpY20A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\nOzubSrmvTJ0gpWj3YMIwHHjRiCdaXV1dWVk5e/aclFG8Q0prpVS8NQNHJZP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