Line Plot with Markers — Plotly

A line plot with visible markers at each data point, combining line and scatter plot features. This is particularly useful for sparse data where individual observations are significant.
Line Plot with Markers rendered with Plotly
Python source (Plotly)

""" anyplot.ai
line-markers: Line Plot with Markers
Library: plotly 6.7.0 | Python 3.13.13
Quality: 91/100 | Updated: 2026-05-12
"""

import os

import numpy as np
import plotly.graph_objects as go


# Theme-adaptive chrome
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"

# Okabe-Ito palette
BRAND = "#009E73"
COLOR_2 = "#C475FD"
COLOR_3 = "#4467A3"

# Data - experimental temperature readings over time
np.random.seed(42)
x = np.arange(0, 15)

# Three sensor series with different patterns
sensor_a = 20 + np.cumsum(np.random.randn(15) * 0.8)
sensor_b = 22 + np.cumsum(np.random.randn(15) * 0.6) - 2
sensor_c = 18 + np.cumsum(np.random.randn(15) * 1.0) + 1

# Create figure
fig = go.Figure()

# Add traces with different marker styles
fig.add_trace(
    go.Scatter(
        x=x,
        y=sensor_a,
        mode="lines+markers",
        name="Sensor A",
        line=dict(color=BRAND, width=4),
        marker=dict(size=16, symbol="circle", color=BRAND, line=dict(width=2, color=PAGE_BG)),
        hovertemplate="<b>Sensor A</b><br>Time: %{x}h<br>Temperature: %{y:.1f}°C<extra></extra>",
    )
)

fig.add_trace(
    go.Scatter(
        x=x,
        y=sensor_b,
        mode="lines+markers",
        name="Sensor B",
        line=dict(color=COLOR_2, width=4),
        marker=dict(size=16, symbol="square", color=COLOR_2, line=dict(width=2, color=PAGE_BG)),
        hovertemplate="<b>Sensor B</b><br>Time: %{x}h<br>Temperature: %{y:.1f}°C<extra></extra>",
    )
)

fig.add_trace(
    go.Scatter(
        x=x,
        y=sensor_c,
        mode="lines+markers",
        name="Sensor C",
        line=dict(color=COLOR_3, width=4),
        marker=dict(size=16, symbol="diamond", color=COLOR_3, line=dict(width=2, color=PAGE_BG)),
        hovertemplate="<b>Sensor C</b><br>Time: %{x}h<br>Temperature: %{y:.1f}°C<extra></extra>",
    )
)

# Layout with theme-adaptive styling
fig.update_layout(
    title=dict(text="line-markers · plotly · anyplot.ai", font=dict(size=28, color=INK), x=0.5, xanchor="center"),
    xaxis=dict(
        title=dict(text="Time (hours)", font=dict(size=22, color=INK)),
        tickfont=dict(size=18, color=INK_SOFT),
        showgrid=True,
        gridwidth=1,
        gridcolor=GRID,
        dtick=2,
        linecolor=INK_SOFT,
        zerolinecolor=INK_SOFT,
    ),
    yaxis=dict(
        title=dict(text="Temperature (°C)", font=dict(size=22, color=INK)),
        tickfont=dict(size=18, color=INK_SOFT),
        showgrid=True,
        gridwidth=1,
        gridcolor=GRID,
        linecolor=INK_SOFT,
        zerolinecolor=INK_SOFT,
    ),
    legend=dict(
        font=dict(size=16, color=INK_SOFT),
        x=1.02,
        y=0.98,
        xanchor="left",
        yanchor="top",
        bgcolor=ELEVATED_BG,
        bordercolor=INK_SOFT,
        borderwidth=1,
    ),
    paper_bgcolor=PAGE_BG,
    plot_bgcolor=PAGE_BG,
    font=dict(color=INK),
    margin=dict(l=100, r=160, t=100, b=80),
)

# Save as PNG and HTML
fig.write_image(f"plot-{THEME}.png", width=1600, height=900, scale=3)
fig.write_html(f"plot-{THEME}.html", include_plotlyjs="cdn")
Part of Line Plot with Markers on anyplot.ai.
Line Plot with Markers — Plotly

Python source (Plotly)

Other implementations
