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--- other:python:maps_by_jyp [2019/09/13 11:39] – jypeter
+++ other:python:maps_by_jyp [2019/09/13 16:02] – Finished adding the megabiome example jypeter
@@ Line 24: / Line 24: @@
   * Summary: Plot two megabiome maps based on 2 versions of the IPSL model (CM5 and CM6), and compare them to a map with observations
-  * Authors: Raj Rani-Singh & Jean-Yves Peterschmitt
+  * Authors: Raj Rani & Jean-Yves Peterschmitt
   * Date: September 2019
   * Script: ''~jypeter/CDAT/Progs/Devel/pasb/PMIP4/Press_Conference_1909/mh_CM6_CM5_megabiome.py
 ''
+{{:other:python:mh_cm6_cm5_megabiome.png?direct&300 |}}
   * Load the NetCDF model data with ''cdms2'', and the xlsx observations' data with ''pandas''
   * Use ''matplotlib''+''cartopy'' to create the plot
@@ Line 35: / Line 35: @@
     * Use a square (''figsize=(8, 8)'') figure size in order to improve the page layout
     * Use the same color scale for both the model data (plotted with ''pcolormesh'') and the observation data (plotted with ''scatter'')
+    * Use a //dictionary trick// for easily using the same gridlines parameters for all the maps
     * Use a common //listed colormap// to plot the discrete megabiome values (with a //norm// associated with the megabiome values) and the observations (with a **different //norm//** associated with the observations)
+    * The three plots have the same colormap, but we create a standalone colormap (created with ''mpl.colorbar.ColorbarBase'') in the Bottom Left quadrant. We use ''UR_plot.get_position().bounds'' to determine the exact location of the Upper Right and Lower Left plots, and combine the coordinates to create the axis (with ''my_page.add_axes'') where the colorbar will be plotted
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