Stem plot of damped sinusoid
DSP
Example from the compendium of canonical charts
Python Code
"""DSP — Stem plot of damped sinusoid."""
from pathlib import Path
# ── Palette + theme (matching the Plotly Studio gallery these charts ship in) ──
VIOLET, TEAL, GREEN, PINK, ORANGE = "#845EEE", "#52B3D0", "#55B685", "#DA5597", "#E9A23B"
PRIMARY, SECONDARY = VIOLET, TEAL
COLORWAY = [VIOLET, TEAL, GREEN, PINK, ORANGE]
BG, TEXT, GRID, MUTED = "#ffffff", "#1c2024", "#d9d9e0", "#60646c"
FONT = "Inter, -apple-system, BlinkMacSystemFont, sans-serif"
COLORSCALE = [[0, "rgba(132, 94, 238, 0.05)"], [1, "rgba(132, 94, 238, 0.9)"]]
def apply_theme(fig):
"""Light gallery theme: white background, Inter font, soft gridlines."""
fig.update_layout(
paper_bgcolor=BG, plot_bgcolor=BG, colorway=COLORWAY,
font=dict(family=FONT, color=TEXT, size=12),
legend=dict(font=dict(color=TEXT)),
hoverlabel=dict(bgcolor="#f0f0f3", font=dict(color=TEXT, family=FONT), bordercolor=GRID),
)
fig.update_xaxes(gridcolor=GRID, linecolor=GRID, zerolinecolor=GRID)
fig.update_yaxes(gridcolor=GRID, linecolor=GRID, zerolinecolor=GRID)
def fetch_csv(url, **kwargs):
import io
import pandas as pd
import requests
r = requests.get(url, timeout=60)
r.raise_for_status()
return pd.read_csv(io.StringIO(r.text), **kwargs)
def fetch_json(url):
import requests
r = requests.get(url, timeout=60)
r.raise_for_status()
return r.json()
import numpy as np
import plotly.graph_objects as go
def generate():
n = np.arange(50)
y = np.exp(-0.1 * n) * np.sin(2 * np.pi * n / 10)
# Build None-separated stems for efficiency
x_stems = []
y_stems = []
for i, yi in zip(n, y):
x_stems += [i, i, None]
y_stems += [0, yi, None]
fig = go.Figure()
# Baseline
fig.add_trace(go.Scatter(
x=[0, 49], y=[0, 0],
mode="lines",
line=dict(color=GRID, width=1, dash="dot"),
showlegend=False,
hoverinfo="skip",
))
# Stems
fig.add_trace(go.Scatter(
x=x_stems, y=y_stems,
mode="lines",
name="Stems",
line=dict(color=VIOLET, width=1.5),
hoverinfo="skip",
showlegend=False,
))
# Lollipop heads
fig.add_trace(go.Scatter(
x=n, y=y,
mode="markers",
name="x[n]",
marker=dict(size=8, color=VIOLET),
hovertemplate="n=%{x}, x[n]=%{y:.4f}<extra></extra>",
))
fig.update_layout(
xaxis=dict(title="n (samples)"),
yaxis=dict(title="Amplitude"),
legend=dict(orientation="h", y=1.08),
margin=dict(t=40, b=60, l=70, r=40),
height=460,
)
apply_theme(fig)
return fig
fig = generate()
fig.show()
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