Creating a Series

danfo.Series(data, options)

Parameters

Type

Description

data

1D Array, 1D Tensor, JSON object.

Flat data structure to load into DataFrame

options

Object

Optional configuration object. Supported properties are:

index: Array of numeric or string names for subseting array. If not specified, indexes are auto-generated.

dtypes: Array of data types for each the column. If not specified, dtypes are/is inferred.

config: General configuration object for extending or setting NDframe behavior. See full options here

In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options.

Creating a Series from an object:

const dfd = require("danfojs-node")

obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
df = new dfd.Series(obj_data)
df.print()

<!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@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
</head>

<body>

    <script>

         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]

        df = new dfd.DataFrame(json_data)
        df.print()

    </script>
</body>

</html>

╔═══╤═══════╗
║ 0 │ bval1 ║
╟───┼───────╢
║ 1 │ bval2 ║
╟───┼───────╢
║ 2 │ bval3 ║
╟───┼───────╢
║ 3 │ bval4 ║
╚═══╧═══════╝

Creating a Series from an array

const dfd = require("danfojs-node")

obj_data = ["bval1", "bval2", "bval3", "bval4"]
df = new dfd.Series(obj_data)
df.print()

<!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@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
</head>

<body>

    <script>

         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]

        df = new dfd.DataFrame(json_data)
        df.print()

    </script>
</body>

</html>

╔═══╤═══════╗
║ 0 │ bval1 ║
╟───┼───────╢
║ 1 │ bval2 ║
╟───┼───────╢
║ 2 │ bval3 ║
╟───┼───────╢
║ 3 │ bval4 ║
╚═══╧═══════╝

Creating a Series and specifying index and dtypes

You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc.

Note: Specifing dtypes, and index on Series creation makes the process slightly faster.

import { Series } from "danfojs"

let data1 = [1, 2, 3, 4, 5];
let index = ["a", "b", "c", "d", "e"];
let dtypes = ["int32",]

let df = new Series(data1, { index, dtypes });
df.print()

╔═══╤═══╗
║ a │ 1 ║
╟───┼───╢
║ b │ 2 ║
╟───┼───╢
║ c │ 3 ║
╟───┼───╢
║ d │ 4 ║
╟───┼───╢
║ e │ 5 ║
╚═══╧═══╝

Creating a Series and specifying memory mode

To use less space on Series creation, you can set the low memory mode as demonstrated below:

import { Series } from "danfojs"

let data1 = [1, 2.3, 3, 4, 5, "girl"];

let df = new Series(data1, {
    config: { lowMemoryMode: true }
});
df.print()

Note: In low memory mode, less space is used by the Series.

PreviousSeries NextSeries.append

Last updated 24 days ago

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<!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@1.2.0/lib/bundle.min.js"></script> <title>Document</title> </head> <body> <script> json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 }, { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 }, { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 }, { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }] df = new dfd.DataFrame(json_data) df.print() </script> </body> </html>

╔═══╤═══════╗ ║ 0 │ bval1 ║ ╟───┼───────╢ ║ 1 │ bval2 ║ ╟───┼───────╢ ║ 2 │ bval3 ║ ╟───┼───────╢ ║ 3 │ bval4 ║ ╚═══╧═══════╝

╔═══╤═══╗ ║ a │ 1 ║ ╟───┼───╢ ║ b │ 2 ║ ╟───┼───╢ ║ c │ 3 ║ ╟───┼───╢ ║ d │ 4 ║ ╟───┼───╢ ║ e │ 5 ║ ╚═══╧═══╝