Skip to content

Fix carbon intensity chart in docs (#580) #1648

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
MaxGhenis merged 1 commit into from
May 1, 2026
Merged

Fix carbon intensity chart in docs (#580) #1648

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions changelog.d/580.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
- Replace the carbon intensity chart in the carbon tax doc with a horizontal bar ranking categories, with the axis relabelled to tonnes CO2 per £1,000 (the previous chart had a nonsensical "pence/tonne" tick suffix).
187 changes: 69 additions & 118 deletions docs/book/programs/contrib/ubi-center/carbon-tax.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -61,6 +61,12 @@
"execution_count": 1,
"id": "8b7f5e74-3376-42f7-8f91-44ba40e54ea4",
"metadata": {
"execution": {
"iopub.execute_input": "2026-04-24T12:13:00.455657Z",
"iopub.status.busy": "2026-04-24T12:13:00.455392Z",
"iopub.status.idle": "2026-04-24T12:13:01.472975Z",
"shell.execute_reply": "2026-04-24T12:13:01.472688Z"
},
"tags": [
"hide-input"
]
Expand All @@ -74,8 +80,7 @@
},
"data": [
{
"alignmentgroup": "True",
"hovertemplate": "Category=%{x}<br>Intensity*100=%{y}<extra></extra>",
"hovertemplate": "Tonnes CO2 per £1,000=%{x}<br>Category=%{y}<extra></extra>",
"legendgroup": "",
"marker": {
"color": "#636efa",
Expand All @@ -84,39 +89,28 @@
}
},
"name": "",
"offsetgroup": "",
"orientation": "v",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
"Housing, water and electricity",
"Transport",
"Food",
"Health",
"Communication",
"Restaurants and hotels",
"Clothing and footwear",
"Education",
"Household furnishings",
"Miscellaneous",
"Recreation",
"Alcohol and tobacco"
],
"x": {
"bdata": "g8DKoUW2sz+uR+F6FK7HP5ZDi2zn+8k/iUFg5dAiyz8MAiuHFtnOP/hT46WbxNA/gZVDi2zn0z9CYOXQItvZP8uhRbbz/eQ/QDVeukkM5j8fhetRuB7xPzMzMzMzM/M/",
"dtype": "f8"
},
"xaxis": "x",
"y": [
0.12,
0.107,
0.0689,
0.0656,
0.0404,
0.031100000000000003,
0.0262,
0.0241,
0.0212,
0.0203,
0.0185,
0.0077
"Alcohol and tobacco",
"Recreation",
"Miscellaneous",
"Household furnishings",
"Education",
"Clothing and footwear",
"Restaurants and hotels",
"Communication",
"Health",
"Food",
"Transport",
"Housing, water and electricity"
],
"yaxis": "y"
}
Expand Down Expand Up @@ -206,7 +200,7 @@
},
"colorscale": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -242,7 +236,7 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
],
Expand All @@ -266,7 +260,7 @@
},
"colorscale": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -302,64 +296,13 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
Expand All @@ -380,7 +323,7 @@
},
"colorscale": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -416,7 +359,7 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
],
Expand All @@ -431,7 +374,7 @@
},
"colorscale": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -467,7 +410,7 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
],
Expand Down Expand Up @@ -502,11 +445,10 @@
],
"scatter": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
Expand Down Expand Up @@ -561,6 +503,17 @@
"type": "scattergl"
}
],
"scattermap": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermap"
}
],
"scattermapbox": [
{
"marker": {
Expand Down Expand Up @@ -613,7 +566,7 @@
},
"colorscale": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -649,7 +602,7 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
],
Expand Down Expand Up @@ -740,7 +693,7 @@
],
"sequential": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -776,13 +729,13 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
],
"sequentialminus": [
[
0,
0.0,
"#0d0887"
],
[
Expand Down Expand Up @@ -818,7 +771,7 @@
"#fdca26"
],
[
1,
1.0,
"#f0f921"
]
]
Expand Down Expand Up @@ -948,29 +901,26 @@
}
},
"title": {
"text": "Tonnes of CO2 per pound by category"
"text": "Carbon intensity by consumption category"
},
"width": 800,
"xaxis": {
"anchor": "y",
"domain": [
0,
1
0.0,
1.0
],
"title": {
"text": "Category"
"text": "Tonnes CO2 per £1,000"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
0.0,
1.0
],
"ticksuffix": " pence/tonne",
"title": {
"text": "Intensity*100"
}
"title": {}
}
}
}
Expand Down Expand Up @@ -1016,18 +966,19 @@
" }\n",
")\n",
"\n",
"df[\"Intensity*100\"] = df.Intensity * 100\n",
"df[\"Tonnes CO2 per £1,000\"] = df.Intensity * 1000\n",
"\n",
"px.bar(\n",
" df.sort_values(\"Intensity\", ascending=False),\n",
" x=\"Category\",\n",
" y=\"Intensity*100\",\n",
" df.sort_values(\"Tonnes CO2 per £1,000\", ascending=True),\n",
" x=\"Tonnes CO2 per £1,000\",\n",
" y=\"Category\",\n",
" orientation=\"h\",\n",
").update_layout(\n",
" title=\"Tonnes of CO2 per pound by category\",\n",
" yaxis_ticksuffix=\" pence/tonne\",\n",
" title=\"Carbon intensity by consumption category\",\n",
" yaxis_title=None,\n",
" width=800,\n",
" height=600,\n",
")"
")\n"
]
}
],
Expand All @@ -1047,7 +998,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
"version": "3.10.13"
},
"vscode": {
"interpreter": {
Expand Down
Loading