| description | Return cumulative sum over a DataFrame or Series axis. |
|---|
danfo.DataFrame.cumSum(options)
| Parameters | Type | Description | Default |
|---|---|---|---|
| options | Object | axis: 0 for row and 1 for column inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false |
{axis: 1, inplace: false} |
{% 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 })
let new_df = df.cumSum({ axis: 0 })
new_df.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 12 β 35 β 9 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 2 β 14 β 65 β 49 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 3 β 16 β 154 β 127 β
βββββ§ββββββββββββββββββββ§ββββββββββββββββββββ§ββββββββββββββββββββ
{% endtab %} {% endtabs %}
{% tabs %} {% tab title="Node" %}
const dfd = require("danfojs-node")
data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
cols = ["A", "B", "C"]
let df = new dfd.DataFrame(data, { columns: cols })
let new_df = df.cumSum({ axis: 1 })
new_df.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 31 β 34 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 1 β 1 β 16 β 22 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 2 β 2 β 32 β 72 β
βββββΌββββββββββββββββββββΌββββββββββββββββββββΌββββββββββββββββββββ’
β 3 β 2 β 91 β 169 β
βββββ§ββββββββββββββββββββ§ββββββββββββββββββββ§ββββββββββββββββββββ
{% endtab %} {% endtabs %}