csv.covariate_avg¶

Compute Covariate Averages for One Node¶

Prototype¶

# at_cascade.csv.covariate_avg
def covariate_avg(covariate_table, node_name, sex) :
    assert type(covariate_table) == list
    assert type(covariate_table[0]) == dict
    assert type(node_name) == str
    assert sex in [ 'female', 'male', 'both' ]
    # ...
    assert type(covariate_average) == dict
    for value in covariate_average.values() :
        assert type(value) == float
    return covariate_average

covariate_table¶

Is a list of dict representation of a covariate.csv file. All of the columns in this table have been converted to float except for node_name and sex which have type str . In addition, sex equal to both may have been added; see csv.covariate_both .

node_name¶

is a str contain the name of the node that we are computing the average for.

covariate_average¶

This return is a dict where the keys are the covariates in covariate.csv and the values are the average of the corresponding covariate.

sex¶

is the sex that this average is for.