Histograms
Draw one histogram of the DataFrame’s columns, or single histogram for Series
A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins

Examples

Histogram of a Column in a DataFrame

In the example below, we make an histogram from the Age column in the titanic dataset.
React
Browser
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['Age'].plot("plot_div").hist()
}).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/[email protected]/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['Age'].plot("plot_div").hist()
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>

Customized Histogram plots on DataFrame

React
Browser
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 layout = {
bargap: 0,
bargroupgap: 0.1,
title: "Histogram of two columns stacked",
xaxis: { title: "Value" },
yaxis: { title: "Count" }
}
const sub_df = df.loc({ columns: ["Fare", "Age"] })
sub_df.plot("plot_div").hist({ layout })
}).catch(err => {
console.log(err);
})
}, [])
return (
<div className="App">
<header className="App-header">
<div id="plot_div"></div>
</header>
</div>
);
}
export default App;
a
<!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/[email protected]/lib/bundle.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="plot_div"></div>
<script>
dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
.then(df => {
const layout = {
bargap: 0,
bargroupgap: 0.1,
title: "Histogram of two columns stacked",
xaxis: { title: "Value" },
yaxis: { title: "Count" }
}
const sub_df = df.loc({ columns: ["Fare", "Age"] })
sub_df.plot("plot_div").hist({ layout })
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>
For more configuration options for Histograms, see the Plotly doc.
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Examples
Histogram of a Column in a DataFrame
Customized Histogram plots on DataFrame