> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# scatter()
export const GitHubLink = ({url}) =>
GitHub source
;
### function `scatter`
```python theme={null}
scatter(
table: 'wandb.Table',
x: 'str',
y: 'str',
title: 'str' = '',
split_table: 'bool' = False
) → CustomChart
```
Constructs a scatter plot from a wandb.Table of data.
**Args:**
* `table`: The W\&B Table containing the data to visualize.
* `x`: The name of the column used for the x-axis.
* `y`: The name of the column used for the y-axis.
* `title`: The title of the scatter chart.
* `split_table`: Whether the table should be split into a separate section in the W\&B UI. If `True`, the table will be displayed in a section named "Custom Chart Tables". Default is `False`.
**Returns:**
* `CustomChart`: A custom chart object that can be logged to W\&B. To log the chart, pass it to `wandb.log()`.
**Example:**
```python theme={null}
import math
import random
import wandb
# Simulate temperature variations at different altitudes over time
data = [
[i, random.uniform(-10, 20) - 0.005 * i + 5 * math.sin(i / 50)]
for i in range(300)
]
# Create W&B table with altitude (m) and temperature (°C) columns
table = wandb.Table(data=data, columns=["altitude (m)", "temperature (°C)"])
# Initialize W&B run and log the scatter plot
with wandb.init(project="temperature-altitude-scatter") as run:
# Create and log the scatter plot
scatter_plot = wandb.plot.scatter(
table=table,
x="altitude (m)",
y="temperature (°C)",
title="Altitude vs Temperature",
)
run.log({"altitude-temperature-scatter": scatter_plot})
```