s-celles
commented
12 months ago This is probably not the best approach but here is a solution
<!DOCTYPE html>
<html lang="en">
<head>
<title>MWE</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
<body>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js" integrity="sha384-C6RzsynM9kWDrMNeT87bh95OGNyZPhcTNXj1NW7RuBCsyN/o0jlpcV8Qyq46cDfL" crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
<script>
(function(window, document, undefined) {
// code that should be taken care of right away
window.onload = init;
function row2col(row_array) {
col_array = []
row_array.forEach(function(row) {
col_array.push([row])
})
return col_array;
}
function toframe(ser, colname) {
df = new dfd.DataFrame(row2col(ser.values), { columns: [colname], index: ser.index });
return df
}
function init() {
console.log("init");
ser = new dfd.Series([10, 11, 12, 13], { index: ["a", "b", "c", "d"] });
ser.print();
df = toframe(ser, "NewCol");
df.print()
}
})(window, document, undefined);
</script>
<h1>MWE</h1>
</body>
</html>and console ouput
init
startup:4
╔═══╤════╗
║ a │ 10 ║
╟───┼────╢
║ b │ 11 ║
╟───┼────╢
║ c │ 12 ║
╟───┼────╢
║ d │ 13 ║
╚═══╧════╝
startup:4
╔════════════╤═══════════════════╗
║ │ NewCol ║
╟────────────┼───────────────────╢
║ a │ 10 ║
╟────────────┼───────────────────╢
║ b │ 11 ║
╟────────────┼───────────────────╢
║ c │ 12 ║
╟────────────┼───────────────────╢
║ d │ 13 ║
╚════════════╧═══════════════════╝Maybe Series could have a method for that.
Any opinion?
bml1g12
Hello,
I don't know if it's a feature request or doc request... but I haven't found how to convert a Series to a DataFrame. Similar to https://pandas.pydata.org/docs/reference/api/pandas.Series.to_frame.html
Kind regards