@zaneselvans once again thank you, but I'm not able to proceed. Could you make a test with my input data and verify that it's possible to read the inferred delimiter?
My CSV input file is
city;location
london;"51.50,-0.11"
paris;"48.85,2.30"
rome;"41.89,12.51"I have used datapackage-py with
package = Package()
package.infer('input.csv')Inside my resource package.descriptor['resources'][0] I have no dialect and than no delimiter.
{u'encoding': u'utf-8',
u'format': u'csv',
u'mediatype': u'text/csv',
u'name': u'input',
u'path': u'input.csv',
u'profile': u'tabular-data-resource',
u'schema': {u'fields': [{u'format': u'default',
u'name': u'city',
u'type': u'string'},
{u'format': u'default', u'name': u'location', u'type': u'geopoint'}],
u'missingValues': [u'']}}@zaneselvans and using Resource it's the same
from datapackage import Resource
resource = Resource({u'path': 'input.csv'})
resource.infer()This gives me the json below without any dialect
{u'encoding': u'utf-8',
u'format': 'csv',
u'mediatype': u'text/csv',
u'name': 'input',
u'path': 'input.csv',
u'profile': u'tabular-data-resource',
u'schema': {u'fields': [{u'format': u'default',
u'name': u'city',
u'type': u'string'},
{u'format': u'default', u'name': u'location', u'type': u'geopoint'}],
u'missingValues': [u'']}}
@zaneselvans thank you.
However I have a generic goal: I know that datapackage-py (or goodtables-py) is able to infer generically CSV separator. I want to read it for a group of files and create a "separators report" for this list of files, and than datapackage-py seems my tool, the right tool to do it. But how to read this inferred info?
I have opened some months ago 2 related issues for goodtables: frictionlessdata/goodtables-py#262 and frictionlessdata/goodtables-py#270