spencerkclark

import dask.array as darray
import numpy as np
import xarray as xr

from collections import defaultdict


def _matmul(arr1, arr2):
    if isinstance(arr1, darray.core.Array):
        return darray.matmul(arr1, arr2)

spencerkclark

Example analysis script

This gist contains an example analysis script, along with a list of dependencies. It uses data from a simulation I ran for Clark et al. (2020) and shows how one might compute and plot a lag-regression sequence of precipitation for South Asian monsoon low pressure systems.

Instructions

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xspharm

Yet another wrapper for pyspharm...

Existing wrappers, windspharm and animal-spharm, lack dask support to parallelize operations. This wrapper enables use of dask at least for a subset of functions provided by pyspharm needed for computing closed tracer budgets following the methods of

spencerkclark

spencerkclark

============================= test session starts ==============================
platform darwin -- Python 3.6.6, pytest-3.10.1, py-1.7.0, pluggy-0.8.0 -- //anaconda/envs/xarray-dev-37/bin/python
cachedir: .pytest_cache
rootdir: /Users/spencerclark/cftime-resample-simplifications, inifile:
collecting ... collected 64 items

test_first_items_current.py::test_first_items[downsampling-0-left-left-11M] PASSED [  1%]
test_first_items_current.py::test_first_items[downsampling-0-left-left-8001H] PASSED [  3%]
test_first_items_current.py::test_first_items[downsampling-0-left-left-600003T] PASSED [  4%]
test_first_items_current.py::test_first_items[downsampling-0-left-left-3MS] PASSED [  6%]

spencerkclark