def build_formula(var_name, equations_list):
"""Returns a string like 'x(t-1) + 1' as a formula."""
# DONE: I consider splitting 'equations_list' into 'formulas_dict' a common task
# for both parsers, but in concept this does not really belong to 'xl_fill.py'
#
# May later move strip_timeindex(str_), test_parse_to_formula_dict() and
# parse_to_formula_dict(equations) to a separate module, callable either by two parsers OR
# at stage where we evaluate user-defined input.
import equations_preparser as eq_pp
formulas_dict = eq_pp.parse_to_formula_dict(equations_list)
return eq_pp.get_formula(var_name, formulas_dict)
target_ar = get_target_ar()
print(target_ar)
# end task formulation
# Solution:
print("\n******* Solution flow:")
print("*** Array before equations:")
df = get_dataframe_before_equations(data_df, controls_df, var_label_list)
ar = get_array_before_equations(df)
print(ar)
print("\n*** Split formulas:")
import equations_preparser as eq_pp
formulas_dict = eq_pp.parse_to_formula_dict(equations_list)
pprint(formulas_dict)
print("\n*** Assign variables to array rows:")
variable_to_row_dict = get_variable_rows_as_dict(ar)
pprint(variable_to_row_dict)
print("\n*** Iterate over NaN in data area + fill with formulas:")
ar = fill_array_with_excel_formulas(ar, equations_list)
print("\n Resulting array:")
print(ar)
print("\n*** Must be like:")
print(target_ar)
is_equal = np.array_equal(ar, target_ar)