Closed andrewedrictristan closed 4 years ago
This aims to store the data in a variable, where this variable will be used to be cleaned or to be analyzed. E.g: dataSetVar = bopi.repository(“xx/xx”).datasets().get(“filename.csv”).toCSV()
dataSetVar = bopi.repository(“xx/xx”).datasets().get(“filename.csv”).toCSV()
or
dataSetVar = bopi.repository(“xx/xx”).datasets().get(“filename.csv”).toJson()
Fixed it!
bopi.repository("11303/10989.2").datasets().get('Xb.csv').to_json("./test.csv")
instead .toCSV and .toCSV(), let's use pandas' taxinomy e.g. .to_json() and .to_csv()
;)
This aims to store the data in a variable, where this variable will be used to be cleaned or to be analyzed. E.g:
dataSetVar = bopi.repository(“xx/xx”).datasets().get(“filename.csv”).toCSV()
or
dataSetVar = bopi.repository(“xx/xx”).datasets().get(“filename.csv”).toJson()