o -wiA @sRddlmZddlmZddlmZerddlZddlmZ   ddddZdS)) annotations) TYPE_CHECKING plot_tableN) CustomChartFtable wandb.Tablexstrystroke str | Nonetitle split_tableboolreturnrcCst|d|||dd|i|dS)aConstructs a customizable line chart. Args: table: The table containing data for the chart. x: Column name for the x-axis values. y: Column name for the y-axis values. stroke: Column name to differentiate line strokes (e.g., for grouping lines). title: Title of the 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 # Create multiple series of data with different patterns data = [] for i in range(100): # Series 1: Sinusoidal pattern with random noise data.append([i, math.sin(i / 10) + random.uniform(-0.1, 0.1), "series_1"]) # Series 2: Cosine pattern with random noise data.append([i, math.cos(i / 10) + random.uniform(-0.1, 0.1), "series_2"]) # Series 3: Linear increase with random noise data.append([i, i / 10 + random.uniform(-0.5, 0.5), "series_3"]) # Define the columns for the table table = wandb.Table(data=data, columns=["step", "value", "series"]) # Initialize wandb run and log the line chart with wandb.init(project="line_chart_example") as run: line_chart = wandb.plot.line( table=table, x="step", y="value", stroke="series", # Group by the "series" column title="Multi-Series Line Plot", ) run.log({"line-chart": line_chart}) ``` z wandb/line/v0)r r r r) data_tablevega_spec_namefields string_fieldsrr)rr r r rrrL/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/wandb/plot/line.pyline s9 r)NrF)rr r r r r r rrr rrrr) __future__rtypingrwandb.plot.custom_chartrwandbrrrrrrs