| description |
|---|
Return the maximum of the values for the requested axis. |
danfo.DataFrame.max(options)
| Parameters | Type | Description | Default |
|---|---|---|---|
| options | Object | axis: 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
{% tabs %} {% tab title="Node" %}
const dfd = require("danfojs-node")
let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
let cols = ["A", "B", "C"]
let df = new dfd.DataFrame(data, { columns: cols })
df.print()
df.max().print(){% endtab %}
{% tab title="Browser" %}
{% endtab %} {% endtabs %}
{% tabs %} {% tab title="Output" %}
βββββ€ββββββββββββββββββββ€ββββββββββββββββββββ€ββββββββββββββββββββ
β β A β B β C β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 0 β 11 β 20 β 3 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 1 β 1 β 15 β 6 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 2 β 2 β 30 β 40 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 3 β 2 β 89 β 78 β
βββββ§ββββββββββββββββββββ§ββββββββββββββββββββ§ββββββββββββββββββββ
βββββ€βββββ
β 0 β 20 β
βββββΌβββββ’
β 1 β 15 β
βββββΌβββββ’
β 2 β 40 β
βββββΌβββββ’
β 3 β 89 β
βββββ§βββββ
{% endtab %} {% endtabs %}
{% tabs %} {% tab title="Node" %}
const dfd = require("danfojs-node")
let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
let cols = ["A", "B", "C"]
let df = new dfd.DataFrame(data, { columns: cols })
df.print()
df.max({ axis: 0 }).print(){% endtab %}
{% tab title="Browser" %}
{% endtab %} {% endtabs %}
{% tabs %} {% tab title="Output" %}
βββββ€ββββββββββββββββββββ€ββββββββββββββββββββ€ββββββββββββββββββββ
β β A β B β C β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 0 β 11 β 20 β 3 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 1 β 1 β 15 β 6 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 2 β 2 β 30 β 40 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 3 β 2 β 89 β 78 β
βββββ§ββββββββββββββββββββ§ββββββββββββββββββββ§ββββββββββββββββββββ
βββββ€βββββ
β A β 11 β
βββββΌβββββ’
β B β 89 β
βββββΌβββββ’
β C β 78 β
βββββ§βββββ{% endtab %} {% endtabs %}