Scatter Plots

Create a scatter plot of columns in a DataFrame

The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables.

Examples

Scatter Plots on Columns in a DataFrame

In the example below, we use the titanic dataset, to show a close to real-world use case of danfo.js

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<!--danfojs CDN -->
<script src="https://cdn.jsdelivr.net/npm/danfojs@0.1.2/dist/index.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
.then(df => {
df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>

More Examples

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<!--danfojs CDN -->
<script src="https://cdn.jsdelivr.net/npm/danfojs@0.1.2/dist/index.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
.then(df => {
sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
sub_df.plot("plot_div").scatter()
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>

Configuring your plots

danfo.js plotting uses Plotly.js as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.

All customization on the plot can be passed as an object of key-value pairs to the config parameter. For example:

var layout = {
title: 'A sample plot',
xaxis: {
title: 'X',
},
yaxis: {
title: 'Y',
}
}
df.plot("div_tag").scatter({x= "col1", y: "col2", layout: layout})

For more configuration options for Scatter plots, see the Plotly style doc.