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csv.covariate_same¶
View page sourceDetermine Which Covariates in covariate.csv Are the Same¶
Prototype¶
# at_cascade.csv.covariate_same
def covariate_same(covariate_table) :
assert type(covariate_table) == list
for row in covariate_table :
for key in row :
type_check = str if key in [ 'node_name' , 'sex' ] else float
assert type( row[key] ) == type_check
#
assert type(cov_same) == dict
for triple in cov_same :
assert type(triple) == tuple
assert len(triple) == 3
return cov_same
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 .
cov_name¶
We use cov_name for omega or one of the
covariate_names
that appear in this file.
cov_same¶
For a node_name , sex, and cov_name is covariate_table
(node_other, sex_other, cov_other) = cov_same[ (node_name, sex, cov_name) ]
If follows that cov_other == cov_name; i.e., the covariate column for these two triples is the same.
For each age, time, the cov_name value corresponding to (node_name, sex, cov_name) is the same as the cov_other value corresponding to (node_other, sex_other, cov_other).
There is one and only one value of (node_other, sex_other, cov_other) for all the (node_name, sex, cov_name) triples that have the same cov_name value for each age and time.
Side Effects¶
This routine reports and error if the age-time grid is not rectangular and the same for each (node_name, sex) pair.
Example¶
see csv.cov_same_xam .