Timeseries Plots

Timeseries plot are based on date index

Examples
In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
<!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/plotly/datasets/master/finance-charts-apple.csv")
            .then(df => {
​
                var layout = {
                    title: 'A financial charts',
                    xaxis: {
                        title: 'Date',
                    },
                    yaxis: {
                        title: 'Count',
                    }
                }
​
                new_df = df.set_index({ key: "Date" })
                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
​
            }).catch(err => {
                console.log(err);
            })
         
    </script>
</body>
​
</html>
​

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