Installation¶
Via your favourite Python Package Manager¶
Conda¶
conda install -c conda-forge pyam
Pip¶
pip install pyam-iamc
Installing From Source¶
pyam
can also be installed from source.
pip install -e git+https://github.com/IAMconsortium/pyam.git#egg=pyam
Dependencies¶
Like any software project, we stand on the shoulders of giants. Our particular giants include numpy [3], matplotlib [1], and pandas [2]. Explicit requirements are fully enumerated below.
The required depedencies for pyam
are:
argparse iam-units>=2020.4.12 numpy requests pandas>=0.25.0 pint plotly PyYAML matplotlib seaborn six xlrd<2.0
References¶
- 1
J. D. Hunter. Matplotlib: a 2d graphics environment. Computing In Science & Engineering, 9(3):90–95, 2007. doi:10.1109/MCSE.2007.55.
- 2
Wes McKinney. Data structures for statistical computing in python. In Stefan van der Walt and Jarrod Millman, editors, Proceedings of the 9th Python in Science Conference, 51–56. 2010.
- 3
Travis Oliphant. NumPy: a guide to NumPy. USA: Trelgol Publishing, 2006. URL: http://www.numpy.org/.