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chore: import upstream snapshot with attribution
2026-07-13 13:09:29 +08:00

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19 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Extended Chart Types Showcase — full feature coverage for waterfall, funnel,
treemap, sunburst, histogram, boxWhisker (cx:chart family) plus pareto and
chart-meta knobs (anchor, preset, autotitledeleted, plotvisonly).
Covers every extended-chart-specific property plus representative generic
cx styling knobs (title.glow, chartFill, legendfont, dataLabels...).
SDK twin of charts-extended.sh (officecli CLI). Both produce an equivalent
charts-extended.xlsx. This one drives the **officecli Python SDK**
(`pip install officecli-sdk`): one resident is started and every sheet and
chart is shipped over the named pipe in `doc.batch(...)` round-trips. Each
item is the same `{"command","parent","type","props"}` dict you'd put in an
`officecli batch` list.
Generates: charts-extended.xlsx
Usage:
pip install officecli-sdk # plus the `officecli` binary on PATH
python3 charts-extended.py
"""
import os
import sys
# --- locate the SDK: prefer an installed `officecli-sdk`, else the in-repo copy
try:
import officecli # pip install officecli-sdk
except ImportError:
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)),
"..", "..", "..", "sdk", "python"))
import officecli
FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "charts-extended.xlsx")
def sheet(name):
"""One `add sheet` item in batch-shape."""
return {"command": "add", "parent": "/", "type": "sheet", "props": {"name": name}}
def chart(parent, **props):
"""One `add chart` item in batch-shape (parent is the sheet path)."""
return {"command": "add", "parent": parent, "type": "chart", "props": props}
print(f"Building {FILE} ...")
with officecli.create(FILE, "--force") as doc:
# ======================================================================
# Sheet 1: Waterfall & Funnel
# ======================================================================
print("--- 1-Waterfall & Funnel ---")
S1 = "/1-Waterfall & Funnel"
items = [sheet("1-Waterfall & Funnel")]
# ------------------------------------------------------------------
# Chart 1: Waterfall — increase/decrease/total colors + data labels + title glow
# Features: chartType=waterfall, increaseColor, decreaseColor, totalColor,
# dataLabels, title.glow
# ------------------------------------------------------------------
items.append(chart(S1,
chartType="waterfall",
title="Cash Flow Bridge",
data="Start:1000,Revenue:500,Costs:-300,Tax:-100,Net:1100",
increaseColor="70AD47",
decreaseColor="FF0000",
totalColor="4472C4",
dataLabels="true",
**{"title.glow": "00D2FF-6-60"},
x="0", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 2: Waterfall — chart-area fill + legend + custom label font
# Features: waterfall with legend=bottom, chartFill (solid hex — cx charts
# don't support gradient fills, use plain RGB), labelFont "size:color:bold"
# ------------------------------------------------------------------
items.append(chart(S1,
chartType="waterfall",
title="Budget vs Actual",
data="Budget:5000,Sales:2000,Marketing:-800,Ops:-600,Net:5600",
increaseColor="2E75B6",
decreaseColor="C00000",
totalColor="FFC000",
legend="bottom",
chartFill="F0F4FA",
dataLabels="true",
labelFont="9:333333:true",
x="14", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 3: Funnel — sales pipeline with title shadow
# Features: chartType=funnel, descending pipeline values, dataLabels,
# title.shadow "COLOR-BLUR-ANGLE-DIST-OPACITY"
# ------------------------------------------------------------------
items.append(chart(S1,
chartType="funnel",
title="Sales Pipeline",
series1="Pipeline:1200,850,600,300,120",
categories="Leads,Qualified,Proposal,Negotiation,Won",
dataLabels="true",
**{"title.shadow": "000000-4-45-2-40"},
x="0", y="19", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 4: Funnel — marketing conversion + legend/axis fonts
# Features: funnel, legendfont "size:color:fontname", axisfont,
# 6-stage pipeline, dataLabels
#
# NOTE: `colors=` palette is intentionally omitted here. On cx:chart single-
# series types (funnel/treemap/sunburst) the CLI only applies the first
# palette color to the whole series, so all bars would render the same
# color. Let Excel's theme pick the default accent color.
# ------------------------------------------------------------------
items.append(chart(S1,
chartType="funnel",
title="Marketing Funnel",
series1="Users:10000,6500,3200,1800,900,450",
categories="Impressions,Clicks,Signups,Active,Paying,Retained",
dataLabels="true",
legendfont="9:8B949E:Helvetica Neue",
axisfont="10:58626E:Helvetica Neue",
x="14", y="19", width="13", height="18"))
doc.batch(items)
# ======================================================================
# Sheet 2: Treemap & Sunburst
# ======================================================================
print("--- 2-Treemap & Sunburst ---")
S2 = "/2-Treemap & Sunburst"
items = [sheet("2-Treemap & Sunburst")]
# ------------------------------------------------------------------
# Chart 1: Treemap — parentLabelLayout=overlapping + dataLabels
# Features: chartType=treemap, parentLabelLayout=overlapping, dataLabels.
# NOTE: `colors=` is omitted — see Funnel Chart 4 note: cx single-series
# charts only pick up the first palette color. Excel's theme will auto-
# rainbow the tiles instead.
# ------------------------------------------------------------------
items.append(chart(S2,
chartType="treemap",
title="Revenue by Product",
series1="Revenue:450,380,310,280,210,180,150,120",
categories="Laptops,Phones,Tablets,TVs,Cameras,Audio,Gaming,Wearables",
parentLabelLayout="overlapping",
dataLabels="true",
x="0", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 2: Treemap — parentLabelLayout=banner + bold title
# Features: treemap parentLabelLayout=banner, title.bold/size/color
# ------------------------------------------------------------------
items.append(chart(S2,
chartType="treemap",
title="Department Budget",
series1="Budget:900,750,600,500,420,350,280",
categories="Engineering,Sales,Marketing,Support,Finance,HR,Legal",
parentLabelLayout="banner",
**{"title.bold": "true", "title.size": "14", "title.color": "2E5090"},
x="14", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 3: Treemap — parentLabelLayout=none (no parent label strip)
# Features: treemap parentLabelLayout=none (all labels inline, no header
# strip), dataLabels on leaf tiles
# ------------------------------------------------------------------
items.append(chart(S2,
chartType="treemap",
title="Flat Treemap (no parent labels)",
series1="Units:250,200,180,160,140,120,100,80,60,40",
categories="A,B,C,D,E,F,G,H,I,J",
parentLabelLayout="none",
dataLabels="true",
x="0", y="19", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 4: Sunburst — radial hierarchy + chartFill (solid) + plotFill
# Features: chartType=sunburst, radial hierarchical layout, chartFill (solid
# hex), plotFill (solid hex), dataLabels.
# NOTE 1: cx:chart's chart/plot fill only accepts solid color — not gradient
# (unlike regular cChart). Use a single hex like "F8FAFC" or "none".
# NOTE 2: `colors=` palette is omitted for the same reason as the funnel/
# treemap examples — cx single-series charts paint only the first palette
# entry. Let Excel's theme drive per-segment coloring.
# ------------------------------------------------------------------
items.append(chart(S2,
chartType="sunburst",
title="Market Share by Region",
series1="Share:35,25,20,15,30,25,20,10,15",
categories="North,South,East,West,Urban,Suburban,Rural,Online,Retail",
chartFill="F8FAFC",
plotFill="FFFFFF",
dataLabels="true",
x="14", y="19", width="13", height="18"))
doc.batch(items)
# ======================================================================
# Sheet 3: Histogram & Box Whisker
# ======================================================================
print("--- 3-Histogram & BoxWhisker ---")
S3 = "/3-Histogram & BoxWhisker"
items = [sheet("3-Histogram & BoxWhisker")]
# ------------------------------------------------------------------
# Chart 1: Histogram — auto-binning (Excel picks bin count)
# Features: chartType=histogram, no binning knobs → Excel auto-selects bins
# ------------------------------------------------------------------
items.append(chart(S3,
chartType="histogram",
title="Test Scores (auto bins)",
series1="Scores:45,52,58,61,63,65,67,68,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,97,99",
x="0", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 2: Histogram — explicit binCount=5 with title glow
# Features: histogram binCount (explicit bin count), title.glow
# ------------------------------------------------------------------
items.append(chart(S3,
chartType="histogram",
title="Sales (binCount=5)",
series1="Sales:120,135,148,155,162,170,175,183,191,200,210,220,235,250,265,280,295,310,340,380,420,480,550,620,700",
binCount="5",
**{"title.glow": "FFC000-6-50"},
x="14", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 3: Histogram — explicit binSize=50 (fixed bin width) + label font
# Features: histogram binSize (explicit bin width — mutually exclusive with
# binCount), dataLabels, labelFont
# ------------------------------------------------------------------
items.append(chart(S3,
chartType="histogram",
title="Sales (binSize=50)",
series1="Sales:120,135,148,155,162,170,175,183,191,200,210,220,235,250,265,280,295,310,340,380,420,480,550,620,700",
binSize="50",
dataLabels="true",
labelFont="9:FFFFFF:true",
x="28", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 4: Histogram — overflow/underflow bins + intervalClosed=l
# Features: histogram underflowBin (cutoff for <N), overflowBin (cutoff for
# >N), intervalClosed=l (bins are [a,b) — left-closed; default "r" is
# (a,b]), legend=none
# ------------------------------------------------------------------
items.append(chart(S3,
chartType="histogram",
title="Response Time (outlier bins)",
series1="ms:40,55,68,75,82,88,95,102,110,118,125,135,150,175,220,280,350",
underflowBin="60",
overflowBin="200",
intervalClosed="l",
dataLabels="true",
legend="none",
x="0", y="19", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 5: Box & Whisker — two teams, quartileMethod=exclusive
# Features: chartType=boxWhisker, two-series comparison,
# quartileMethod=exclusive, legend=bottom, outlier detection (built-in)
# ------------------------------------------------------------------
items.append(chart(S3,
chartType="boxWhisker",
title="Response Time by Team (ms)",
series1="TeamA:42,55,61,68,72,75,78,81,85,88,92,97,105,120",
series2="TeamB:30,38,45,52,58,62,65,68,71,74,78,85,92,110",
quartileMethod="exclusive",
legend="bottom",
x="14", y="19", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 6: Box & Whisker — three departments, quartileMethod=inclusive + glow
# Features: boxWhisker three-series, quartileMethod=inclusive (different
# quartile formula from exclusive), title.glow, mean markers (default on)
# ------------------------------------------------------------------
items.append(chart(S3,
chartType="boxWhisker",
title="Salary Distribution ($k)",
series1="Engineering:85,92,95,98,102,105,108,112,118,125,135,150,180",
series2="Marketing:60,65,68,72,75,78,80,83,88,92,98,110",
series3="Sales:55,62,68,75,82,90,98,105,115,125,140,160,190",
quartileMethod="inclusive",
**{"title.glow": "00D2FF-6-60"},
legend="bottom",
x="28", y="19", width="13", height="18"))
doc.batch(items)
# ======================================================================
# Sheet 4: Pareto
# ======================================================================
print("--- 4-Pareto ---")
S4 = "/4-Pareto"
items = [sheet("4-Pareto")]
# ------------------------------------------------------------------
# Chart 1: Pareto — defect analysis, raw counts auto-sorted + cumul% overlay
# Features: chartType=pareto (2-series under the hood — clusteredColumn bars
# + paretoLine cumulative %), automatic descending sort, cumulative %
# computed server-side, dataLabels on both series.
# Input is a SINGLE user series; officecli pre-sorts by value desc and
# emits the two cx:series MSO expects (layoutId=clusteredColumn +
# layoutId=paretoLine with cx:binning intervalClosed="r").
# ------------------------------------------------------------------
items.append(chart(S4,
chartType="pareto",
title="Defect Pareto",
series1="Count:45,30,10,8,5,2",
categories="Scratches,Dents,Cracks,Chips,Stains,Other",
dataLabels="true",
x="0", y="0", width="13", height="18"))
# ------------------------------------------------------------------
# Chart 2: Pareto — root cause analysis, 10 categories, out-of-order input
# Features: pareto with unsorted input values (12, 87, 5, ...) — officecli
# re-sorts by value desc (120, 87, 67, ...) and re-aligns categories so
# the biggest contributor renders first. title.glow + legend=bottom
# demonstrate generic cx styling on pareto.
# ------------------------------------------------------------------
items.append(chart(S4,
chartType="pareto",
title="Root Cause Pareto",
series1="Tickets:12,87,5,45,3,120,22,67,8,31",
categories="Network,Auth,DB,Cache,UI,Config,Deploy,Monitor,Queue,Storage",
**{"title.glow": "FFC000-6-50"},
legend="bottom",
x="14", y="0", width="13", height="18"))
doc.batch(items)
# ======================================================================
# Sheet 5: Chart Meta
# ======================================================================
print("--- 5-Chart Meta ---")
S5 = "/5-Chart Meta"
items = [sheet("5-Chart Meta")]
# ------------------------------------------------------------------
# Chart 1: anchor (cell-range placement), preset (named style bundle)
# Features: anchor="A1:M20" (position chart at exact cell-range instead of
# x/y/width/height — accepts A1-notation two-cell anchor string),
# preset=corporate (named style bundle that sets colors, fonts, fill, border
# in one shot; values: minimal, dark, corporate, magazine, dashboard,
# colorful, monochrome)
# ------------------------------------------------------------------
items.append(chart(S5,
chartType="column",
title="anchor + preset=corporate",
series1="Revenue:120,145,132,160",
categories="Q1,Q2,Q3,Q4",
anchor="A1:M20",
preset="corporate"))
# ------------------------------------------------------------------
# Chart 2: autotitledeleted, plotvisonly
# Features: autotitledeleted=true (suppress the auto "Chart Title" placeholder
# that Excel inserts — use when you want no title at all without explicitly
# passing title=none),
# plotvisonly=true (skip plotting hidden rows/columns — mirrors Excel's
# "Show data in hidden rows and columns" unchecked)
# ------------------------------------------------------------------
items.append(chart(S5,
chartType="bar",
series1="Sales:80,95,88,110",
categories="Q1,Q2,Q3,Q4",
x="0", y="22", width="12", height="18",
autotitledeleted="true",
plotvisonly="true"))
# ------------------------------------------------------------------
# Chart 3: preset variants — minimal
# Features: preset=minimal (strip: removes gridlines, legend, border, most
# styling; exposes the data with minimal chrome)
# ------------------------------------------------------------------
items.append(chart(S5,
chartType="line",
title="preset=minimal",
series1="A:10,20,15,25",
series2="B:8,14,12,20",
categories="W1,W2,W3,W4",
x="13", y="0", width="12", height="18",
preset="minimal"))
# ------------------------------------------------------------------
# Chart 4: preset=dark
# Features: preset=dark (dark background, light-colored series and text)
# ------------------------------------------------------------------
items.append(chart(S5,
chartType="column",
title="preset=dark",
series1="Sales:45,60,55,80",
categories="Q1,Q2,Q3,Q4",
x="13", y="22", width="12", height="18",
preset="dark"))
doc.batch(items)
# Remove blank default Sheet1 (all data is inline)
doc.send({"command": "remove", "path": "/Sheet1"})
doc.send({"command": "save"})
# context exit closes the resident, flushing the workbook to disk.
print(f"\nDone! Generated: {FILE}")
print(" 4 sheets, 16 charts total (full cx:chart feature coverage)")
print(" Sheet 1: Waterfall (2) + Funnel (2)")
print(" Sheet 2: Treemap (3: overlapping/banner/none) + Sunburst (1)")
print(" Sheet 3: Histogram (4: auto/binCount/binSize/overflow+underflow+intervalClosed=l) + BoxWhisker (2: exclusive/inclusive)")
print(" Sheet 4: Pareto (2: sorted input / out-of-order input)")
print(" Sheet 5: Chart Meta (4: anchor+preset / autotitledeleted+plotvisonly / minimal / dark)")