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.
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.