Violin Plots
Make a violin plot from DataFrame columns, optionally grouped by some other columns. A violin plot is a method for graphically depicting groups of numerical data through their quartiles. See also Box Plot
Examples
Boxplot for a Series Object
App.jsx
import { useEffect } from 'react';
import './App.css';
import { Series } from "danfojs-nightly";
function App() {
useEffect(() => {
const s = new Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
s.plot("plot_div").violin()
}, [])
return (
<div className="App">
<header className="App-header">
<div id="plot_div"></div>
</header>
</div>
);
}
export default App;<!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.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
s.plot("plot_div").violin()
</script>
</body>
</html>Box plots on a DataFrame
App.jsx
import { useEffect } from 'react';
import './App.css';
import { readCSV } from "danfojs-nightly";
function App() {
useEffect(() => {
readCSV(
"https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
)
.then((df) => {
const sub_df = df.loc({ columns: ["Age", "Fare"] });
sub_df.plot("plot_div").violin();
})
.catch((err) => {
console.log(err);
});
}, [])
return (
<div className="App">
<header className="App-header">
<div id="plot_div"></div>
</header>
</div>
);
}
export default App;<!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.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.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"] })
sub_df.plot("plot_div").violin()
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>Box plot for selected columns in a DataFrame
App.jsx
import { useEffect } from 'react';
import './App.css';
import { readCSV } from "danfojs-nightly";
function App() {
useEffect(() => {
readCSV(
"https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
)
.then((df) => {
df.plot("plot_div").violin({ config: { x: "Survived", y: "Age" }, layout: { title: "Violin Plot" } });
})
.catch((err) => {
console.log(err);
});
}, [])
return (
<div className="App">
<header className="App-header">
<div id="plot_div"></div>
</header>
</div>
);
}
export default App;<!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.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<div id="plot_div"></div>
<script>
dfd
.readCSV(
"https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
)
.then((df) => {
df.plot("plot_div").violin({ config: { x: "Survived", y: "Age" } });
})
.catch((err) => {
console.log(err);
});
</script>
</body>
</html>To customize your plots, see the Configuring your plot page
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