Tables

Turn DataFrame/Series in D3.js-based tables
Examples
Create Interactive Tables from DataFrame
<!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@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").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. 
<!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@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 => {
​
                header_style = {
                    align: "center",
                    fill: { color: ['gray'] },
                    font: { family: "Arial", size: 15, color: "white" }
                }
                cell_style = {
                    align: ["center"],
                    line: { color: "black", width: 1 }
                }
​
                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
​
            }).catch(err => {
                console.log(err);
            })
​
    </script>
</body>
​
</html>
​
​
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