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})