Getting started¶
1. Read an IMMA file¶
You can test the tool very easy by using a sample data set that comes with the repository. For this you need to run the following code:
from cdm_reader_mapper import read_mdf
from cdm_reader_mapper.test_data import test_icoads_r300_d704 as test_data
filepath = test_data.source
imodel = "icoads_r300_d704"
db = read_mdf(filepath, imodel=imodel)
2. Read subsection of an IMMA file¶
You can also read subsections from the IMMA test file:
db_sub = read_mdf(filepath, imodel=imodel, sections = ["core", "c1", "c98"])
3. Map this data to a CDM build for the same deck¶
In this case deck 704: US Marine Meteorological Journal collection of data code:
db_cdm = db.map_model()
cdm_tables = db_cdm.data
4. Detect duplicated observations¶
Detect and flag duplicated observations without overwriting the original CDM tables:
db_dup = db.duplicate_check()
db_dup_f = db_dup.flag_duplicates()
flagged_tables = db_dup_f.data
db_dup_r = db_dup.remove_duplicates()
removed_tables = db_dup_r.data
5. Write the output¶
This writes the output to an ascii file with a pipe delimited format using the following function:
db.write()