# ee.Array.cosh

On an element-wise basis, computes the hyperbolic cosine of the input.

<br />

| Usage | Returns |
|---|---|
| `Array.cosh()` | Array |

| Argument | Type | Details |
|---|---|---|
| this: `input` | Array | The input array. |

## Examples

### Code Editor (JavaScript)

```javascript
print(ee.Array([-4]).cosh());  // [~27.31]
print(ee.Array([0]).cosh());  // [1]
print(ee.Array([4]).cosh());  // [~27.31]

var start = -4;
var end = 4;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.cosh();

// Plot cosh() defined above.
var chart = ui.Chart.array.values(values, 0, points)
    .setOptions({
      viewWindow: {min: start, max: end},
      hAxis: {
        title: 'x',
        viewWindowMode: 'maximized',
        ticks: [
          {v: start},
          {v: 0},
          {v: end}]
      },
      lineWidth: 1,
      pointSize: 0,
    });
print(chart);
```
Python setup

See the [Python Environment](https://developers.google.com/earth-engine/guides/python_install) page for information on the Python API and using
`geemap` for interactive development.

```python
import ee
import geemap.core as geemap
```

### Colab (Python)

```python
import altair as alt
import pandas as pd

display(ee.Array([-4]).cosh())  # [~27.31]
display(ee.Array([0]).cosh())  # [1]
display(ee.Array([4]).cosh())  # [~27.31]

start = -4
end = 4
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.cosh()

df = pd.DataFrame({'x': points.getInfo(), 'cosh(x)': values.getInfo()})

# Plot cosh() defined above.
alt.Chart(df).mark_line().encode(
    x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
    y=alt.Y('cosh(x)')
)
```