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Examples

Basic Line plot on Series

The line plot is exposed by the .plot() function called on a Series or DataFrame. The .plot() method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter.

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
s.plot("plot_div").line()
</script>
</body>
</html>

Line plots on DataFrame

The example below shows the plot of column values against a common x-axis (index)

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
df.plot("plot_div").line()
</script>
</body>
</html>

The example below shows how to plot two columns in a DataFrame against each other.

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
df.plot("plot_div").line({x: 'pig', y: 'horse'})
</script>
</body>
</html>

To set configuration for your plots, see the Configuring your plot page