Customizing your plots
Danfo.js currently supports Plotly.js for plotting. This means you have all the configuration, flexibility, and interactiveness of Plotly.
The config parameter extends the Plotly.js config type. That is, all properties available to the Plotly config argument, are available. Alongside those arguments, Danfo.js uses some custom arguments which we list below:
Argument | Description | Default value |
|---|---|---|
x | Column name to plot on the x-axis. | DataFrame index if required |
y | Column name to plot on the y-axis. | DataFrame index if required |
columns | Array of column names to plot. | All columns in the DataFrame when applicable |
values | Used to configure a pie chart. A column name containing values for the pie. Maps 1-1 with labels. | |
labels | Used to configure a pie chart. A column name containing labels for the pie. Maps 1-1 with values. | |
rowPositions | Used to configure a pie chart. Pie chart domain row. See https://plotly.com/javascript/reference/pie/#pie-domain-row | Range of 0 - DataFrame column length |
columnPositions | Used to configure a pie chart. Pie chart domain column. See https://plotly.com/javascript/reference/pie/#pie-domain-column | Range of 0 - DataFrame column length |
grid | Used to configure a pie chart. Accepts the following parameter:
row: Integer size
column: Integer size | |
tableHeaderStyle | | |
tableCellStyle | |
The
layout argument object is used to configure the overall display of a chart. See the full list of supported argumentsIn the following example, we show how to set some basic configuration as well as layout for a line plot.
React
Browser
import { useEffect } from 'react';
import './App.css';
import { readCSV } from "danfojs-nightly";
function App() {
useEffect(() => {
readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
.then(df => {
const layout = {
title: {
text: "Time series plot of AAPL open and close points",
x: 0
},
legend: {
bgcolor: "#fcba03",
bordercolor: "#444",
borderwidth: 1,
font: { family: "Arial", size: 10, color: "#fff" }
},
width: 1000,
yaxis: {
title: 'AAPL open points',
},
xaxis: {
title: 'Date',
},
}
const config = {
columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
displayModeBar: true,
displaylogo: false,
}
df.plot("plot_div").line({ layout, config })
})
}, [])
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>
<script>
dfd
.readCSV(
"https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
)
.then((df) => {
const layout = {
title: {
text: "Time series plot of AAPL open and close points",
x: 0,
},
legend: {
bgcolor: "#fcba03",
bordercolor: "#444",
borderwidth: 1,
font: { family: "Arial", size: 10, color: "#fff" },
},
width: 1000,
yaxis: {
title: "AAPL open points",
},
xaxis: {
title: "Date",
},
};
const config = {
columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
displayModeBar: true,
displaylogo: false,
};
df.plot("plot_div").line({ layout, config });
});
</script>
</body>
</html>
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Last modified 1yr ago