16 lines
950 B
HTML
16 lines
950 B
HTML
|
|
<html>
|
|
<head>
|
|
<meta http-equiv="content-type"
|
|
content="text/html; charset=ISO-8859-1">
|
|
<title></title>
|
|
</head>
|
|
<body>
|
|
<center>
|
|
<h2> Text Formatter User Guide for Tabular Products</h2>
|
|
<h3>31. Smart Tabular Products - Analyzing the Data</h3>
|
|
<hr>
|
|
<a href=Slide30.html>Previous Slide</a> <a href=Slide32.html>Next Slide</a> <br><img SRC=Slide31.JPG border=1><br></center>
|
|
<p><p><big>The first thing we must do is create the summary statistics for this edit area given the information in the HistoSampler. The "getStatDict" helper method is a building block to help with this task. It takes the HistoSampler information and the analysis list, which tells it the weather elements and corresponding analysis methods. Then, for a particular time range and edit area, it returns a statistics dictionary. This is simply a Python dictionary with an entry for each weather element and its corresponding statistics.<br><br><br></big>
|
|
</body>
|
|
</html>
|