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Wrapper classes around multidimensional numpy matrices for (dis)aggregation of data.

Project description

Data (dis)aggregation

docs tests python black license release pypi

Install

pip install data-disaggregation

Quickstart

from data_disaggregation import Dimension, Variable

# create dimension hierarchies
time = Dimension("time")
hour = time.add_level("hour", [1, 2, 3])
space = Dimension("space")
region = space.add_level("region", ["r1", "r2"])
subregion = region.add_level(
    "subregion", {"r1": ["sr1_1", "sr1_2"], "r2": ["sr2_1"]}
)

# create extensive variable
v1 = Variable(
    name="v1",
    data={
        (1, "sr1_1"): 2,
        (1, "sr1_2"): 3,
        (2, "sr1_2"): 4,
        (2, "sr2_1"): 5,
    },
    domain=[hour, subregion],
    vartype="extensive",
)

# transform (aggregate) fo target dimension
v2 = v1.transform(domain=[region])
# print as pandas series
print(v2.to_series())

Project details


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data-disaggregation-0.2.1.tar.gz (37.8 kB view hashes)

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