o -wi@sPddlmZddlmZddlmZerddlZddlmZ  ddddZdS)) annotations) TYPE_CHECKING plot_tableN) CustomChartFtable wandb.Tablelabelstrvaluetitle split_tableboolreturnrcCst|d||dd|i|dS)aConstructs a bar chart from a wandb.Table of data. Args: table: A table containing the data for the bar chart. label: The name of the column to use for the labels of each bar. value: The name of the column to use for the values of each bar. title: The title of the bar 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 random import wandb # Generate random data for the table data = [ ["car", random.uniform(0, 1)], ["bus", random.uniform(0, 1)], ["road", random.uniform(0, 1)], ["person", random.uniform(0, 1)], ] # Create a table with the data table = wandb.Table(data=data, columns=["class", "accuracy"]) # Initialize a W&B run and log the bar plot with wandb.init(project="bar_chart") as run: # Create a bar plot from the table bar_plot = wandb.plot.bar( table=table, label="class", value="accuracy", title="Object Classification Accuracy", ) # Log the bar chart to W&B run.log({"bar_plot": bar_plot}) ``` z wandb/bar/v0)r r r ) data_tablevega_spec_namefields string_fieldsrr)rr r r rrK/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/wandb/plot/bar.pybar s5r)rF) rr r r r r r r rrrr) __future__rtypingrwandb.plot.custom_chartrwandbrrrrrrs