scatter

table: 'wandb.Table',
x: 'str',
y: 'str',
title: 'str' = '',
split_table: 'bool' = False

Description

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().

Examples:

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})