Tables
Turn DataFrame/Series in D3.js-based tables
Examples
Create Interactive Tables from DataFrame
App.jsx
import { useEffect } from 'react';
import './App.css';
import { Series, 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").table()
}).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").table()
})
.catch((err) => {
console.log(err);
});
</script>
</body>
</html>Configure the header and cell of a table
To configure the header and cell of a table, you can pass header/cell styles to the header_style and cell_style parameter. The Plotly table doc shows numerous configuration options you can pass.
App.jsx
import { useEffect } from 'react';
import './App.css';
import { Series, readCSV } from "danfojs-nightly";
function App() {
useEffect(() => {
readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
.then(df => {
const headerStyle = {
align: "center",
fill: { color: ['gray'] },
font: { family: "Arial", size: 15, color: "white" },
}
const cellStyle = {
align: ["center"],
line: { color: "black", width: 10 }
}
df.plot("plot_div").table({
config: {
tableHeaderStyle: headerStyle,
tableCellStyle: cellStyle
},
layout: {
title: "Table displaying the Titanic dataset",
}
})
}).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) => {
const headerStyle = {
align: "center",
fill: { color: ["gray"] },
font: { family: "Arial", size: 15, color: "white" },
columnwidth: 200,
};
const cellStyle = {
align: ["center"],
line: { color: "black", width: 10 },
};
df.plot("plot_div").table({
config: {
tableHeaderStyle: headerStyle,
tableCellStyle: cellStyle,
},
layout: {
title: "Table displaying the Titanic dataset",
},
});
})
.catch((err) => {
console.log(err);
});
</script>
</body>
</html>Last updated
