Ranges of timeseries data¶
# sphinx_gallery_thumbnail_number = 3
Read in tutorial data and show a summary¶
This gallery uses the scenario data from the first-steps tutorial.
If you haven’t cloned the pyam GitHub repository to your machine, you can download the file from https://github.com/IAMconsortium/pyam/tree/main/doc/source/tutorials.
Make sure to place the data file in the same folder as this script/notebook.
<class 'pyam.core.IamDataFrame'> Index: * model : AIM/CGE 2.1, GENeSYS-MOD 1.0, ... WITCH-GLOBIOM 4.4 (8) * scenario : 1.0, CD-LINKS_INDCi, CD-LINKS_NPi, ... Faster Transition Scenario (8) Timeseries data coordinates: region : R5ASIA, R5LAM, R5MAF, R5OECD90+EU, R5REF, R5ROWO, World (7) variable : ... (6) unit : EJ/yr, Mt CO2/yr, °C (3) year : 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, ... 2100 (10) Meta indicators: exclude (bool) False (1)
Highlighting ranges in a line chart¶
In this example, we want to highlight the range across a scenario ensemble. We do this by utilizing the fill_between argument.
More options for highlighting ranges in a line chart¶
The keyword argument fill_between can be set to true, or it can be provided specific arguments as a dictionary: in this illustration, we choose a very low transparency value.
Even more options for highlighting ranges in a line chart¶
To further highlight the range of data, we can also add a bar showing the range of data in the final time period using final_ranges. Similar to fill_between it can either be true or have specific arguments.
Total running time of the script: ( 0 minutes 1.506 seconds)