o xi@sPddlmZddlmZddlmZerddlZddlmZ  ddddZdS)) annotations) TYPE_CHECKING plot_tableN) CustomChartFtable wandb.Tablexstrytitle split_tableboolreturnrcCst|d||dd|i|dS)uConstructs 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 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}) ``` zwandb/scatter/v0)r r r ) data_tablevega_spec_namefields string_fieldsrr)rr r r rrF/home/ubuntu/.local/lib/python3.10/site-packages/wandb/plot/scatter.pyscatter s0r)rF) rr r r r r r r rrrr) __future__rtypingrwandb.plot.custom_chartrwandbrrrrrrs