Python package for writing Darwin Core Archives (DwC-A)
Project description
dwca-writer
Python package for writing Darwin Core Archives (DwC-A).
Installation
pip install dwca-writer
Quick start
from dwcawriter import Archive, Table
import os
import pandas as pd
df_core = pd.DataFrame(data={
"occurrenceID": [1, 2, 3],
"scientificName": ["Abra alba", "Lanice conchilega", "Nereis diversicolor"],
"notes": ["white", "brown", "green"],
"year": [2008, 2009, 2010]
})
df_extension = pd.DataFrame(data={
"id": [1, 2, 3],
"measurementType": ["temperature", "temperature", "temperature"],
"measurementValue": [12, 13, 14]
})
archive = Archive()
archive.eml_text = ""
core_table = Table(spec="https://rs.gbif.org/core/dwc_occurrence_2022-02-02.xml", data=df_core, id_index=0, only_mapped_columns=True)
archive.core = core_table
extension_table = Table(spec="https://rs.gbif.org/extension/dwc/measurements_or_facts_2022-02-02.xml", data=df_extension, id_index=0)
archive.extensions.append(extension_table)
print(archive)
Archive with 1 core tables and 1 extension tables
Table of type http://rs.tdwg.org/dwc/terms/Occurrence with 3 rows and 4 columns
occurrenceID: http://rs.tdwg.org/dwc/terms/occurrenceID (column 1)
scientificName: http://rs.tdwg.org/dwc/terms/scientificName (column 2)
notes
year: http://rs.tdwg.org/dwc/terms/year (column 3)
Table of type http://rs.tdwg.org/dwc/terms/MeasurementOrFact with 3 rows and 3 columns
id (column 1)
measurementType: http://rs.tdwg.org/dwc/terms/measurementType (column 2)
measurementValue: http://rs.tdwg.org/dwc/terms/measurementValue (column 3)
archive.export("dummy.zip")
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