The same plot in 14 other libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts. Compare all 15 side by side: Basic Funnel Chart in Python, R, Julia and JavaScript.
A funnel chart visualizes sequential stages of a process where values progressively decrease from one stage to the next. Each stage is represented as a trapezoidal segment that narrows from top to bottom, making it easy to identify drop-offs between stages. This chart is ideal for tracking conversion rates, sales pipelines, and multi-step processes where understanding stage-to-stage transitions is critical.

""" anyplot.ai
funnel-basic: Basic Funnel Chart
Library: plotly 7.1.0 | Python 3.14.9
Quality: 82/100 | Updated: 2026-11-02
"""
import os
import pandas as pd
import plotly.graph_objects as go
# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
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)"
# Imprint palette: all eight positions, one per stage in order
IMPRINT_PALETTE = ["#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD", "#954477", "#99B314"]
# Columns: set these to your table's column names
STAGE = "Stage" # role: stage
VALUE = "Count" # role: value
# Data: replace this block with your own table, for example df = pd.read_csv("funnel.csv")
df = pd.DataFrame(
{STAGE: ["Awareness", "Interest", "Consideration", "Intent", "Purchase"], VALUE: [1000, 600, 400, 200, 100]}
)
# Plot: reads only df and the constants above
fig = go.Figure(
go.Funnel(
y=df[STAGE],
x=df[VALUE],
textposition="inside",
textinfo="value+percent initial",
textfont={"size": 12, "color": "#FAF8F1"},
marker={"color": IMPRINT_PALETTE[: len(df)], "line": {"width": 1, "color": PAGE_BG}},
connector={"line": {"color": INK_SOFT, "width": 1, "dash": "dot"}},
)
)
# Style
fig.update_layout(
title={
"text": "funnel-basic · python · plotly · anyplot.ai",
"font": {"size": 16, "color": INK},
"x": 0.5,
"xanchor": "center",
},
yaxis={
"title": {"text": STAGE, "font": {"size": 12, "color": INK}},
"tickfont": {"size": 10, "color": INK_SOFT},
"gridcolor": GRID,
"linecolor": INK_SOFT,
"zerolinecolor": INK_SOFT,
},
xaxis={
"title": {"text": VALUE, "font": {"size": 12, "color": INK}},
"tickfont": {"size": 10, "color": INK_SOFT},
"gridcolor": GRID,
"linecolor": INK_SOFT,
"zerolinecolor": INK_SOFT,
},
paper_bgcolor=PAGE_BG,
plot_bgcolor=PAGE_BG,
font={"color": INK},
autosize=False,
margin={"l": 100, "r": 40, "t": 60, "b": 50},
showlegend=False,
)
# Save
fig.write_image(f"plot-{THEME}.png", width=800, height=450, scale=4)
fig.write_html(f"plot-{THEME}.html", include_plotlyjs="cdn")
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/funnel-basic/plotly/code. Any spec id and library id listed in llms-full.txt fit the same URL shape; every URL below is complete and callable.
{
"spec_id": "funnel-basic",
"language": "python",
"library": "plotly",
"page": "https://anyplot.ai/funnel-basic/python/plotly",
"hub": "https://anyplot.ai/funnel-basic",
"code_json": "https://api.anyplot.ai/specs/funnel-basic/plotly/code",
"spec_json": "https://api.anyplot.ai/specs/funnel-basic",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/funnel-basic/python/plotly/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/funnel-basic/python/plotly/plot-dark.png",
"interactive_light_html": "https://storage.googleapis.com/anyplot-images/plots/funnel-basic/python/plotly/plot-light.html",
"interactive_dark_html": "https://storage.googleapis.com/anyplot-images/plots/funnel-basic/python/plotly/plot-dark.html",
"quality_score": 82.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Basic Funnel Chart on anyplot.ai.