A step function plot where values remain constant until the next change, creating horizontal-then-vertical transitions. This visualization emphasizes discrete changes rather than interpolated values.

""" anyplot.ai
line-stepwise: Step Line Plot
Library: plotly 6.7.0 | Python 3.13.13
Quality: 88/100 | Updated: 2026-05-13
"""
import os
import numpy as np
import plotly.graph_objects as go
# Theme tokens
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)"
BRAND = "#009E73" # Okabe-Ito position 1
# Data - Server response time monitoring (discrete state changes)
np.random.seed(42)
hours = np.arange(0, 24, 1)
response_times = np.array(
[
45,
45,
42,
42,
48,
55,
65,
72,
78,
82, # Morning ramp-up
80,
75,
85,
90,
88,
85,
78,
65,
55,
50, # Afternoon peak
48,
45,
44,
43, # Evening decline
]
)
# Plot
fig = go.Figure()
fig.add_trace(
go.Scatter(
x=hours,
y=response_times,
mode="lines+markers",
line={"shape": "hv", "color": BRAND, "width": 4},
marker={"size": 14, "color": BRAND, "line": {"color": PAGE_BG, "width": 2}},
name="Response Time",
hovertemplate="Hour: %{x}<br>Response: %{y} ms<extra></extra>",
)
)
# Style
fig.update_layout(
title={
"text": "line-stepwise · plotly · anyplot.ai",
"font": {"size": 28, "color": INK},
"x": 0.5,
"xanchor": "center",
},
xaxis={
"title": {"text": "Hour of Day", "font": {"size": 22, "color": INK}},
"tickfont": {"size": 18, "color": INK_SOFT},
"tickmode": "linear",
"tick0": 0,
"dtick": 2,
"range": [-0.5, 23.5],
"showgrid": True,
"gridcolor": GRID,
"gridwidth": 1,
"linecolor": INK_SOFT,
"zerolinecolor": INK_SOFT,
},
yaxis={
"title": {"text": "Response Time (ms)", "font": {"size": 22, "color": INK}},
"tickfont": {"size": 18, "color": INK_SOFT},
"range": [35, 95],
"showgrid": True,
"gridcolor": GRID,
"gridwidth": 1,
"linecolor": INK_SOFT,
"zerolinecolor": INK_SOFT,
},
paper_bgcolor=PAGE_BG,
plot_bgcolor=PAGE_BG,
showlegend=False,
margin={"l": 100, "r": 80, "t": 120, "b": 100},
)
# Save
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 Step Line Plot on anyplot.ai.