Sections

Links

• Tutorial
• API Reference
  • DataView Object
  • Events
  • Standard Visualization Methods and Properties
    • getSelection()
    • setSelection()
  • Assorted Static Methods
    • arrayToDataTable()
    • drawChart()
      • This method creates a chart in a single call. This method does not return a handle to the created chart, so you cannot assign method listeners to catch chart events.
    • drawToolbar()
      • drawToolbar()
• Formatters

  • ArrowFormat	Adds an up or down arrow, indicating whether the cell value is above or below a specified value.
    BarFormat	Adds a colored bar, the direction and color of which indicates whether the cell value is above or below a specified value.
    ColorFormat	Colors a cell according to whether the values fall within a specified range.
    DateFormat	Formats a Date or DateTime value in several different ways, including "January 1, 2009," "1/1/09" and "Jan 1, 2009."
    NumberFormat	Formats various aspects of numeric values.
    PatternFormat	Concatenates cell values on the same row into a specified cell, along with arbitrary text.

• Visualization: Table
  • Custom Properties
  • Configuration Options
• Error Display

Steps

• Load the Ajax API

  • Statically

    <!--Load the AJAX API-->
    <script type="text/javascript" src="https://www.google.com/jsapi"></script>
    

  • Dynamically

    function gvizLoaded() {
      var jscode_table = new google.visualization.Table(document.getElementById('table_div_jscode'));}
    }
    
    function loadGviz() {
      google.load("visualization", "1", {packages:["table"], callback: "gvizLoaded"});
    }
    
    function initLoader() {
      var script = document.createElement("script");
      script.src = "https://www.google.com/jsapi?callback=loadGviz";
      script.type = "text/javascript";
      document.getElementsByTagName("head")[0].appendChild(script);
    }
    

  • Draw the visualization

    • draw

Python

Links

• Google visualization Python API
  • gviz_api.py

• How to Use the Library

  description = [
      ("item", "string", "Item"),
      ("count", "number", "Count"),]
  
  data = [
      ("Yellow", 100000),
      ("Orange", 120000),
      ("Red", 110000),
      ("Magenta", 130000),
      ("Cyan", 88000),
  ]
  
  data_table = gviz_api.DataTable(description)
  data_table.LoadData(data)
  
  print "ToJSon\n", data_table.ToJSon(), "\n\n"
  print "ToJSonResponse\n", data_table.ToJSonResponse(), "\n\n"
  print "ToJSCode\n", data_table.ToJSCode("jscode_data"), "\n\n"
  

• Examples

  • static_example.py
  • dynamic_example.py
  • ToJSon and ToJS
  • ToJSonResponse

Notes

• Supported types
  • string, number, boolean, date, datetime, timeofday
  • definition in source code

    if desc_dict["type"] not in ["string", "number", "boolean",
                                 "date", "datetime", "timeofday"]: