line()
2 minute read
function line
line(
    table: 'wandb.Table',
    x: 'str',
    y: 'str',
    stroke: 'str | None' = None,
    title: 'str' = '',
    split_table: 'bool' = False
) → CustomChart
Constructs 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:
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})
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