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from __future__ import division, print_function, absolute_import
# nrows()
#########
import petl as etl
table = [['foo', 'bar'], ['a', 1], ['b', 2]]
etl.nrows(table)
# valuecount()
##############
import petl as etl
table = [['foo', 'bar'],
['a', 1],
['b', 2],
['b', 7]]
etl.valuecount(table, 'foo', 'b')
# valuecounter()
################
import petl as etl
table = [['foo', 'bar'],
['a', True],
['b'],
['b', True],
['c', False]]
etl.valuecounter(table, 'foo').most_common()
# valuecounts()
###############
import petl as etl
table = [['foo', 'bar', 'baz'],
['a', True, 0.12],
['a', True, 0.17],
['b', False, 0.34],
['b', False, 0.44],
['b']]
etl.valuecounts(table, 'foo')
etl.valuecounts(table, 'foo', 'bar')
# parsecounter()
################
import petl as etl
table = [['foo', 'bar', 'baz'],
['A', 'aaa', 2],
['B', u'2', '3.4'],
[u'B', u'3', u'7.8', True],
['D', '3.7', 9.0],
['E', 42]]
counter, errors = etl.parsecounter(table, 'bar')
counter.most_common()
errors.most_common()
# parsecounts()
###############
import petl as etl
table = [['foo', 'bar', 'baz'],
['A', 'aaa', 2],
['B', u'2', '3.4'],
[u'B', u'3', u'7.8', True],
['D', '3.7', 9.0],
['E', 42]]
etl.parsecounts(table, 'bar')
# typecounter()
###############
import petl as etl
table = [['foo', 'bar', 'baz'],
['A', 1, 2],
['B', u'2', '3.4'],
[u'B', u'3', u'7.8', True],
['D', u'xyz', 9.0],
['E', 42]]
etl.typecounter(table, 'foo').most_common()
etl.typecounter(table, 'bar').most_common()
etl.typecounter(table, 'baz').most_common()
# typecounts()
##############
import petl as etl
table = [['foo', 'bar', 'baz'],
[b'A', 1, 2],
[b'B', '2', b'3.4'],
['B', '3', '7.8', True],
['D', u'xyz', 9.0],
['E', 42]]
etl.typecounts(table, 'foo')
etl.typecounts(table, 'bar')
etl.typecounts(table, 'baz')
# stringpatterns()
##################
import petl as etl
table = [['foo', 'bar'],
['Mr. Foo', '123-1254'],
['Mrs. Bar', '234-1123'],
['Mr. Spo', '123-1254'],
[u'Mr. Baz', u'321 1434'],
[u'Mrs. Baz', u'321 1434'],
['Mr. Quux', '123-1254-XX']]
etl.stringpatterns(table, 'foo')
etl.stringpatterns(table, 'bar')
# rowlengths()
###############
import petl as etl
table = [['foo', 'bar', 'baz'],
['A', 1, 2],
['B', '2', '3.4'],
[u'B', u'3', u'7.8', True],
['D', 'xyz', 9.0],
['E', None],
['F', 9]]
etl.rowlengths(table)
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