Matthew Gidden
Matthew Gidden
# Description of PR Adds a `df.quantile()` function which calculates (possibly weighted) quantiles for a variable across a population of models and scenarios. If this feature is useful for others...
I was expecting `set_meta()` to be chainable like our other operations, but it returns `None` - should we have it return the `self` instead?
Resurrecting perhas a bit an oldy but a goody - #126 # Prompt I find myself regularly wanted to carry around, refer back to, graph, and manipulate metadata with dimensions...
The current `compute.growth_rate` assumes that all variables have a positive, non-zero value in the first year available in the dataframe. For variables that are initially 0, but begin to increase...
# Overview When trying to do operations on emissions, e.g., ``` df = pyam.IamDataFrame(pd.DataFrame( [ ["model_a", "scen_a", "World", "foo", "Mt CO2/yr", 1, 6.0], ["model_a", "scen_a", "World", "bar", "Mt CO2/yr", 0.5,...
A naive user (read: me) can obtain an obscure error message if `set_meta_from_data()` is used in an unintended way. Take for example the regional SR15 dataframe. The following code will...
I find that the tutorials are sometimes the easiest way of discovery especially via search (I regularly google `pyam` as I have a hard time remembering each and every feature...
At present, `categorize()` throws an error if trying to provide region-specific data. This is something we can/should support (I will address in an upcoming PR, but logging here for now)
In reviewing a PR for `aneris` I noticed that the following passes ``` df.convert_unit('Mt CO2/yr', to='kt CO2/yr') ``` and the following fails ``` df.convert_unit('Mt BC/yr', to='kt BC/yr') ``` It's not...
We are at the moment beginning to pick up more use of [`aneris`](https://github.com/iiasa/aneris) to do harmonization at various stages of analysis. When I first wrote it, I had a specific...