Ipcc color update

RELEASE_NOTES.md

@@ -8,6 +8,7 @@ region-level. To keep the previous behaviour, add `components=True`.
 
 ## Individual Updates
 
+- [#314](https://github.com/IAMconsortium/pyam/pull/314) Update IPCC color scheme colors and add SSP-only colors
 - [#313](https://github.com/IAMconsortium/pyam/pull/313) Add feature to `downscale` timeseries data to subregions using another variable as proxy
 - [#312](https://github.com/IAMconsortium/pyam/pull/312) Allow passing list of variables to `aggregate` functions
 - [#305](https://github.com/IAMconsortium/pyam/pull/305) Add `method` and `weight` options to the (region) aggregation functions

doc/source/tutorials/ipcc_colors.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# Using IPCC Color Palettes\n",
     "\n",
-    "**pyam** supports the use of explicit IPCC AR5 and AR6 color palettes by providing the RCP and/or SSP of interest via the `pyam.run_control()` feature."
+    "**pyam** supports the use of explicit IPCC [AR5](https://tdaviesbarnard.co.uk/1202/ipcc-official-colors-rcp/) and [AR6](https://github.com/IPCC-WG1/colormaps) color palettes by providing the RCP and/or SSP of interest via the `pyam.run_control()` feature."
    ]
   },
   {
@@ -135,7 +135,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,

pyam/plotting.py

@@ -35,19 +35,30 @@
 }
 
 PYAM_COLORS = {
-    'AR6-SSP1-1.9': "#00AAD0",
-    'AR6-SSP1-2.6': "#003466",
-    'AR6-SSP2-4.5': "#EF550F",
-    'AR6-SSP3-7.0': "#E00000",
-    'AR6-SSP3-LowNTCF': "#E00000",
-    'AR6-SSP4-3.4': "#FFA900",
-    'AR6-SSP4-6.0': "#C47900",
-    'AR6-SSP5-3.4-OS': "#7F006E",
-    'AR6-SSP5-8.5': "#990002",
-    'AR6-RCP-2.6': "#003466",
-    'AR6-RCP-4.5': "#5492CD",
-    'AR6-RCP-6.0': "#C47900",
-    'AR6-RCP-8.5': "#990002",
+    # AR6 colours from https://github.com/IPCC-WG1/colormaps
+    # where each file is processed to generate hex values, e.g.:
+    # for liwith open('rcp_cat.txt') as f:
+    #   for l in f.readlines():
+    #     rgb = np.array([int(x) for x in l.strip().split()]) / 256
+    #     print(matplotlib.colors.rgb2hex(rgb))
+    'AR6-SSP1': "#1e9583",
+    'AR6-SSP2': "#4576be",
+    'AR6-SSP3': "#f11111",
+    'AR6-SSP4': "#e78731",
+    'AR6-SSP5': "#8036a7",
+    'AR6-SSP1-1.9': "#1e9583",
+    'AR6-SSP1-2.6': "#1d3354",
+    'AR6-SSP2-4.5': "#e9dc3d",
+    'AR6-SSP3-7.0': "#f11111",
+    'AR6-SSP3-LowNTCF': "#f11111",
+    'AR6-SSP4-3.4': "#63bce4",
+    'AR6-SSP4-6.0': "#e78731",
+    'AR6-SSP5-3.4-OS': "#996dc8",
+    'AR6-SSP5-8.5': "#830b22",
+    'AR6-RCP-2.6': "#980002",
+    'AR6-RCP-4.5': "#c37900",
+    'AR6-RCP-6.0': "#709fcc",
+    'AR6-RCP-8.5': "#003466",
     # AR5 colours from
     # https://tdaviesbarnard.co.uk/1202/ipcc-official-colors-rcp/
     'AR5-RCP-2.6': "#0000FF",