danfo.Series (data, options)
Parameters
Type
Description
1D Array, 1D Tensor, JSON object.
Flat data structure to load into DataFrame
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:
Node Browser
Copy const dfd = require ( "danfojs-node" )
obj_data = { 'B' : [ "bval1" , "bval2" , "bval3" , "bval4" ] }
df = new dfd .Series (obj_data)
df .print ()
Copy <!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@1.1.2/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>
Copy ╔═══╤═══════╗
║ 0 │ bval1 ║
╟───┼───────╢
║ 1 │ bval2 ║
╟───┼───────╢
║ 2 │ bval3 ║
╟───┼───────╢
║ 3 │ bval4 ║
╚═══╧═══════╝
Creating a Series from an array
Node Browser
Copy const dfd = require ( "danfojs-node" )
obj_data = [ "bval1" , "bval2" , "bval3" , "bval4" ]
df = new dfd .Series (obj_data)
df .print ()
Copy <!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@1.1.2/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>
Copy ╔═══╤═══════╗
║ 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.
Node
Copy 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 ()
Copy ╔═══╤═══╗
║ 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:
Copy 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.