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test_created__string.py
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test_created__string.py
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import datetime
import numpy as np
from optimus.tests.base import TestBase
from optimus.helpers.json import json_encoding
from optimus.helpers.functions import deep_sort, df_dicts_equal, results_equal
def Timestamp(t):
return datetime.datetime.strptime(t, "%Y-%m-%d %H:%M:%S")
NaT = np.datetime64('NaT')
nan = float("nan")
inf = float("inf")
class TestStringPandas(TestBase):
config = {'engine': 'pandas'}
dict = {('NullType', 'object'): [None, None, None, None, None, None], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan]}
maxDiff = None
def test_cols_capitalize(self):
df = self.create_dataframe(data={('capitalize_test', 'object'): ['ThIs iS A TEST', 'ThIs', 'iS', 'a ', ' TEST', 'this is a test']}, force_data_types=True)
result = df.cols.capitalize(cols=['capitalize_test'])
expected = self.create_dataframe(data={('capitalize_test', 'object'): ['This is a test', 'This', 'Is', 'A ', ' test', 'This is a test']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_capitalize_all(self):
df = self.df.copy()
result = df.cols.capitalize(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[none, 5700.0]', '[91.44, none]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["Bytearray(b'leader')", "Bytearray(b'espionage')", "Bytearray(b'security')", "Bytearray(b'first lieutenant')", "Bytearray(b'none')", "Bytearray(b'battle station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'Nan', '300.0'], ('japanese name', 'object'): ["['inochi', 'convoy']", "['bumble', 'goldback']", "['roadbuster']", "['meister']", "['megatron']", "['metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First lieutenant', 'None', 'Battle station'], ('names', 'object'): ['Optimus', 'Bumbl#ebéé ', 'Ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'Nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_capitalize_multiple(self):
df = self.df.copy()
result = df.cols.capitalize(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['inochi', 'convoy']", "['bumble', 'goldback']", "['roadbuster']", "['meister']", "['megatron']", "['metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'Nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_capitalize_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.capitalize(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'Nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_capitalize_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.capitalize(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['Optimus', 'Bumbl#ebéé ', 'Ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_expand_contracted_words(self):
df = self.create_dataframe(data={('expand_contracted_words_test', 'object'): ["y'all ain't ready for this", "i've been where you haven't", "SHE'LL DO IT BEFORE YOU", "maybe it isn't so hard after all", "he mustn't cheat in school", "IF YOU HADN'T DONE THAT, WE WOULD'VE BEEN FREE"]}, force_data_types=True)
result = df.cols.expand_contracted_words(cols=['expand_contracted_words_test'])
expected = self.create_dataframe(data={('expand_contracted_words_test', 'object'): ['you all am not ready for this', 'I have been where you have not', 'she will DO IT BEFORE YOU', 'maybe it is not so hard after all', 'he must not cheat in school', 'IF YOU had not DONE THAT, WE would have BEEN FREE']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_expand_contracted_words_all(self):
df = self.df.copy()
result = df.cols.expand_contracted_words(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_expand_contracted_words_multiple(self):
df = self.df.copy()
result = df.cols.expand_contracted_words(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_expand_contracted_words_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.expand_contracted_words(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_expand_contracted_words_string(self):
df = self.df.copy().cols.select(['function(binary)'])
result = df.cols.expand_contracted_words(cols=['function(binary)'], output_cols=['function(binary)_2'])
expected = self.create_dataframe(data={('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('function(binary)_2', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lemmatize_verbs(self):
df = self.create_dataframe(data={('lemmatize_verbs_test', 'object'): ['the players are tired of studying', 'feet and teeth sound simliar', 'it is us connected against the world', 'leave it alone', 'living in the world', 'I am aware that discoveries come very often nowadays']}, force_data_types=True)
result = df.cols.lemmatize_verbs(cols=['lemmatize_verbs_test'])
expected = self.create_dataframe(data={('lemmatize_verbs_test', 'object'): ['the players be tire of study', 'feet and teeth sound simliar', 'it be us connect against the world', 'leave it alone', 'live in the world', 'I be aware that discoveries come very often nowadays']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lemmatize_verbs_all(self):
df = self.df.copy()
result = df.cols.lemmatize_verbs(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lemmatize_verbs_multiple(self):
df = self.df.copy()
result = df.cols.lemmatize_verbs(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lemmatize_verbs_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.lemmatize_verbs(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lemmatize_verbs_string(self):
df = self.df.copy().cols.select(['function(binary)'])
result = df.cols.lemmatize_verbs(cols=['function(binary)'], output_cols=['function(binary)_2'])
expected = self.create_dataframe(data={('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('function(binary)_2', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_len(self):
df = self.create_dataframe(data={('len_test', 'object'): [' ', '12', '', ' how many characters are in this sentence?', '!@#$%^&*()_>?:}', ' 1 2 3 ']}, force_data_types=True)
result = df.cols.len(cols=['len_test'])
expected = self.create_dataframe(data={('len_test', 'int64'): [6, 2, 0, 42, 15, 18]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_len_all(self):
df = self.df.copy()
result = df.cols.len(cols='*')
expected = self.create_dataframe(data={('NullType', 'int64'): [4, 4, 4, 4, 4, 4], ('attributes', 'int64'): [16, 15, 16, 16, 14, 13], ('date arrival', 'int64'): [10, 10, 10, 10, 10, 10], ('function(binary)', 'int64'): [20, 23, 22, 30, 18, 28], ('height(ft)', 'int64'): [5, 4, 4, 4, 3, 5], ('japanese name', 'int64'): [20, 22, 14, 11, 12, 13], ('last date seen', 'int64'): [10, 10, 10, 10, 10, 10], ('last position seen', 'int64'): [20, 20, 21, 21, 4, 4], ('rank', 'int64'): [2, 1, 1, 1, 2, 1], ('Cybertronian', 'int64'): [4, 4, 4, 4, 4, 5], ('Date Type', 'int64'): [10, 10, 10, 10, 10, 10], ('age', 'int64'): [7, 7, 7, 7, 7, 7], ('function', 'int64'): [6, 9, 8, 16, 4, 14], ('names', 'int64'): [7, 12, 9, 4, 8, 13], ('timestamp', 'int64'): [10, 10, 10, 10, 10, 10], ('weight(t)', 'int64'): [3, 3, 3, 3, 3, 3]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_len_multiple(self):
df = self.df.copy()
result = df.cols.len(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'int64'): [4, 4, 4, 4, 4, 4], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'int64'): [20, 22, 14, 11, 12, 13], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'int64'): [3, 3, 3, 3, 3, 3]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_len_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.len(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'int64'): [5, 4, 4, 4, 3, 5]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_len_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.len(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'int64'): [7, 12, 9, 4, 8, 13]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lower(self):
df = self.create_dataframe(data={('lower_test', 'object'): ['ThIs iS A TEST', 'ThIs', 'iS', 'a ', ' TEST', 'this is a test']}, force_data_types=True)
result = df.cols.lower(cols=['lower_test'])
expected = self.create_dataframe(data={('lower_test', 'object'): ['this is a test', 'this', 'is', 'a ', ' test', 'this is a test']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lower_all(self):
df = self.df.copy()
result = df.cols.lower(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['none', 'none', 'none', 'none', 'none', 'none'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[none, 5700.0]', '[91.44, none]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'leader')", "bytearray(b'espionage')", "bytearray(b'security')", "bytearray(b'first lieutenant')", "bytearray(b'none')", "bytearray(b'battle station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('japanese name', 'object'): ["['inochi', 'convoy']", "['bumble', 'goldback']", "['roadbuster']", "['meister']", "['megatron']", "['metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'none', 'none'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['true', 'true', 'true', 'true', 'true', 'false'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['leader', 'espionage', 'security', 'first lieutenant', 'none', 'battle station'], ('names', 'object'): ['optimus', 'bumbl#ebéé ', 'ironhide&', 'jazz', 'megatron', 'metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lower_multiple(self):
df = self.df.copy()
result = df.cols.lower(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['none', 'none', 'none', 'none', 'none', 'none'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['inochi', 'convoy']", "['bumble', 'goldback']", "['roadbuster']", "['meister']", "['megatron']", "['metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lower_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.lower(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_lower_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.lower(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['optimus', 'bumbl#ebéé ', 'ironhide&', 'jazz', 'megatron', 'metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_normalize_spaces(self):
df = self.create_dataframe(data={('normalize_spaces_test', 'object'): ['more close', ' for ', 'h o w', 'many words are in this sentence', ' ', 'WhatIfThereAreNoSpaces']}, force_data_types=True)
result = df.cols.normalize_spaces(cols=['normalize_spaces_test'])
expected = self.create_dataframe(data={('normalize_spaces_test', 'object'): ['more close', ' for ', 'h o w', 'many words are in this sentence', ' ', 'WhatIfThereAreNoSpaces']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_normalize_spaces_all(self):
df = self.df.copy()
result = df.cols.normalize_spaces(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_normalize_spaces_multiple(self):
df = self.df.copy()
result = df.cols.normalize_spaces(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_normalize_spaces_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.normalize_spaces(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_normalize_spaces_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.normalize_spaces(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_numbers(self):
df = self.create_dataframe(data={('remove_numbers_test', 'object'): ['2 plus 2 equals 4', 'bumbl#ebéé is about 5000000 years old', "these aren't special characters: `~!@#$%^&*()?/\\|", 'why is pi=3.141592... an irrational number?', '3^3=27', "don't @ me"]}, force_data_types=True)
result = df.cols.remove_numbers(cols=['remove_numbers_test'])
expected = self.create_dataframe(data={('remove_numbers_test', 'object'): [' plus equals ', 'bumbl#ebéé is about years old', "these aren't special characters: `~!@#$%^&*()?/\\|", 'why is pi=.... an irrational number?', '^=', "don't @ me"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_numbers_all(self):
df = self.df.copy()
result = df.cols.remove_numbers(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[., .]', '[., .]', '[., .]', '[., .]', '[None, .]', '[., None]'], ('date arrival', 'object'): ['//', '//', '//', '//', '//', '//'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"], ('height(ft)', 'object'): ['-.', '.', '.', '.', 'nan', '.'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['//', '//', '//', '//', '//', '//'], ('last position seen', 'object'): ['.,-.', '.,-.', '.,-.', '.,-.', 'None', 'None'], ('rank', 'object'): ['', '', '', '', '', ''], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['--', '--', '--', '--', '--', '--'], ('age', 'object'): ['', '', '', '', '', ''], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['--', '--', '--', '--', '--', '--'], ('weight(t)', 'object'): ['.', '.', '.', '.', '.', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_numbers_multiple(self):
df = self.df.copy()
result = df.cols.remove_numbers(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['.', '.', '.', '.', '.', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_numbers_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.remove_numbers(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-.', '.', '.', '.', 'nan', '.']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_numbers_string(self):
df = self.df.copy().cols.select(['function(binary)'])
result = df.cols.remove_numbers(cols=['function(binary)'], output_cols=['function(binary)_2'])
expected = self.create_dataframe(data={('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('function(binary)_2', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_special_chars(self):
df = self.create_dataframe(data={('remove_special_chars_test', 'object'): ['2 plus 2 equals 4', 'bumbl#ebéé is about 5000000 years old', "these aren't special characters: `~!@#$%^&*()?/\\|", 'why is pi=3.141592... an irrational number?', '3^3=27', "don't @ me"]}, force_data_types=True)
result = df.cols.remove_special_chars(cols=['remove_special_chars_test'])
expected = self.create_dataframe(data={('remove_special_chars_test', 'object'): ['2 plus 2 equals 4', 'bumblebéé is about 5000000 years old', 'these arent special characters ', 'why is pi3141592 an irrational number', '3327', 'dont me']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_special_chars_all(self):
df = self.df.copy()
result = df.cols.remove_special_chars(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['85344 43000', '5334 20000', '79248 40000', '39624 18000', 'None 57000', '9144 None'], ('date arrival', 'object'): ['19800410', '19800410', '19800410', '19800410', '19800410', '19800410'], ('function(binary)', 'object'): ['bytearraybLeader', 'bytearraybEspionage', 'bytearraybSecurity', 'bytearraybFirst Lieutenant', 'bytearraybNone', 'bytearraybBattle Station'], ('height(ft)', 'object'): ['280', '170', '260', '130', 'nan', '3000'], ('japanese name', 'object'): ['Inochi Convoy', 'Bumble Goldback', 'Roadbuster', 'Meister', 'Megatron', 'Metroflex'], ('last date seen', 'object'): ['20160910', '20150810', '20140710', '20130610', '20120510', '20110410'], ('last position seen', 'object'): ['1944273599201111', '1064270771612534', '37789563122400356', '33670666117841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['20160910', '20150810', '20140624', '20130624', '20120510', '20110410'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumblebéé ', 'ironhide', 'Jazz', 'Megatron', 'Metroplex'], ('timestamp', 'object'): ['20140624', '20140624', '20140624', '20140624', '20140624', '20140624'], ('weight(t)', 'object'): ['43', '20', '40', '18', '57', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_special_chars_multiple(self):
df = self.df.copy()
result = df.cols.remove_special_chars(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ['Inochi Convoy', 'Bumble Goldback', 'Roadbuster', 'Meister', 'Megatron', 'Metroflex'], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['43', '20', '40', '18', '57', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_special_chars_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.remove_special_chars(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['280', '170', '260', '130', 'nan', '3000']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_special_chars_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.remove_special_chars(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['Optimus', 'bumblebéé ', 'ironhide', 'Jazz', 'Megatron', 'Metroplex']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_white_spaces(self):
df = self.create_dataframe(data={('remove_white_spaces_test', 'object'): ['i n te rest i ng ', 'This I s A Test', ' ', 'ThisOneHasNoWhiteSpaces', 'Th is One Sho uld Be AllTogether ', "L et ' s G oo o o o o"]}, force_data_types=True)
result = df.cols.remove_white_spaces(cols=['remove_white_spaces_test'])
expected = self.create_dataframe(data={('remove_white_spaces_test', 'object'): ['interesting', 'ThisIsATest', '', 'ThisOneHasNoWhiteSpaces', 'ThisOneShouldBeAllTogether', "Let'sGoooooo"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_white_spaces_all(self):
df = self.df.copy()
result = df.cols.remove_white_spaces(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344,4300.0]', '[5.334,2000.0]', '[7.9248,4000.0]', '[3.9624,1800.0]', '[None,5700.0]', '[91.44,None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'FirstLieutenant')", "bytearray(b'None')", "bytearray(b'BattleStation')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('japanese name', 'object'): ["['Inochi','Convoy']", "['Bumble','Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'FirstLieutenant', 'None', 'BattleStation'], ('names', 'object'): ['Optimus', 'bumbl#ebéé', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_white_spaces_multiple(self):
df = self.df.copy()
result = df.cols.remove_white_spaces(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi','Convoy']", "['Bumble','Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_white_spaces_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.remove_white_spaces(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_remove_white_spaces_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.remove_white_spaces(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['Optimus', 'bumbl#ebéé', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_reverse(self):
df = self.create_dataframe(data={('reverse_test', 'object'): ['gnitseretni', 'this Is a TesT', ' ', 'this is another test ', 'tset a si siht', 'reverse esrever']}, force_data_types=True)
result = df.cols.reverse(cols=['reverse_test'])
expected = self.create_dataframe(data={('reverse_test', 'object'): ['interesting', 'TseT a sI siht', ' ', ' tset rehtona si siht', 'this is a test', 'reverse esrever']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_reverse_all(self):
df = self.df.copy()
result = df.cols.reverse(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['enoN', 'enoN', 'enoN', 'enoN', 'enoN', 'enoN'], ('attributes', 'object'): [']0.0034 ,4435.8[', ']0.0002 ,433.5[', ']0.0004 ,8429.7[', ']0.0081 ,4269.3[', ']0.0075 ,enoN[', ']enoN ,44.19['], ('date arrival', 'object'): ['01/40/0891', '01/40/0891', '01/40/0891', '01/40/0891', '01/40/0891', '01/40/0891'], ('function(binary)', 'object'): [")'redaeL'b(yarraetyb", ")'eganoipsE'b(yarraetyb", ")'ytiruceS'b(yarraetyb", ")'tnanetueiL tsriF'b(yarraetyb", ")'enoN'b(yarraetyb", ")'noitatS elttaB'b(yarraetyb"], ('height(ft)', 'object'): ['0.82-', '0.71', '0.62', '0.31', 'nan', '0.003'], ('japanese name', 'object'): ["]'yovnoC' ,'ihconI'[", "]'kcabdloG' ,'elbmuB'[", "]'retsubdaoR'[", "]'retsieM'[", "]'nortageM'[", "]'xelforteM'["], ('last date seen', 'object'): ['01/90/6102', '01/80/5102', '01/70/4102', '01/60/3102', '01/50/2102', '01/40/1102'], ('last position seen', 'object'): ['111102.99-,537244.91', '435216.17-,707246.01', '653004.221-,365987.73', '355148.711-,666076.33', 'enoN', 'enoN'], ('rank', 'object'): ['01', '7', '7', '8', '01', '8'], ('Cybertronian', 'object'): ['eurT', 'eurT', 'eurT', 'eurT', 'eurT', 'eslaF'], ('Date Type', 'object'): ['01-90-6102', '01-80-5102', '42-60-4102', '42-60-3102', '01-50-2102', '01-40-1102'], ('age', 'object'): ['0000005', '0000005', '0000005', '0000005', '0000005', '0000005'], ('function', 'object'): ['redaeL', 'eganoipsE', 'ytiruceS', 'tnanetueiL tsriF', 'enoN', 'noitatS elttaB'], ('names', 'object'): ['sumitpO', ' éébe#lbmub', '&edihnori', 'zzaJ', 'nortageM', '$^)_xelporteM'], ('timestamp', 'object'): ['42-60-4102', '42-60-4102', '42-60-4102', '42-60-4102', '42-60-4102', '42-60-4102'], ('weight(t)', 'object'): ['3.4', '0.2', '0.4', '8.1', '7.5', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_reverse_multiple(self):
df = self.df.copy()
result = df.cols.reverse(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['enoN', 'enoN', 'enoN', 'enoN', 'enoN', 'enoN'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["]'yovnoC' ,'ihconI'[", "]'kcabdloG' ,'elbmuB'[", "]'retsubdaoR'[", "]'retsieM'[", "]'nortageM'[", "]'xelforteM'["], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['3.4', '0.2', '0.4', '8.1', '7.5', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_reverse_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.reverse(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['0.82-', '0.71', '0.62', '0.31', 'nan', '0.003']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_reverse_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.reverse(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['sumitpO', ' éébe#lbmub', '&edihnori', 'zzaJ', 'nortageM', '$^)_xelporteM']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_title(self):
df = self.create_dataframe(data={('title_test', 'object'): ['ThIs iS A TEST', 'ThIs', 'iS', 'a ', ' TEST', 'this is a test']}, force_data_types=True)
result = df.cols.title(cols=['title_test'])
expected = self.create_dataframe(data={('title_test', 'object'): ['This Is A Test', 'This', 'Is', 'A ', ' Test', 'This Is A Test']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_title_all(self):
df = self.df.copy()
result = df.cols.title(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["Bytearray(B'Leader')", "Bytearray(B'Espionage')", "Bytearray(B'Security')", "Bytearray(B'First Lieutenant')", "Bytearray(B'None')", "Bytearray(B'Battle Station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'Nan', '300.0'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'Bumbl#Ebéé ', 'Ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'Nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_title_multiple(self):
df = self.df.copy()
result = df.cols.title(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'Nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_title_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.title(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'Nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_title_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.title(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['Optimus', 'Bumbl#Ebéé ', 'Ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_trim(self):
df = self.create_dataframe(data={('trim_test', 'object'): ['ThIs iS A TEST', 'foo', ' bar', 'baz ', ' zoo ', ' t e s t ']}, force_data_types=True)
result = df.cols.trim(cols=['trim_test'])
expected = self.create_dataframe(data={('trim_test', 'object'): ['ThIs iS A TEST', 'foo', 'bar', 'baz', 'zoo', 't e s t']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_trim_all(self):
df = self.df.copy()
result = df.cols.trim(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['True', 'True', 'True', 'True', 'True', 'False'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_trim_multiple(self):
df = self.df.copy()
result = df.cols.trim(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_trim_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.trim(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_trim_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.trim(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['Optimus', 'bumbl#ebéé', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_upper(self):
df = self.create_dataframe(data={('upper_test', 'object'): ['ThIs iS A TEST', 'ThIs', 'iS', 'a ', ' TEST', 'this is a test']}, force_data_types=True)
result = df.cols.upper(cols=['upper_test'])
expected = self.create_dataframe(data={('upper_test', 'object'): ['THIS IS A TEST', 'THIS', 'IS', 'A ', ' TEST', 'THIS IS A TEST']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_upper_all(self):
df = self.df.copy()
result = df.cols.upper(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): ['NONE', 'NONE', 'NONE', 'NONE', 'NONE', 'NONE'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[NONE, 5700.0]', '[91.44, NONE]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["BYTEARRAY(B'LEADER')", "BYTEARRAY(B'ESPIONAGE')", "BYTEARRAY(B'SECURITY')", "BYTEARRAY(B'FIRST LIEUTENANT')", "BYTEARRAY(B'NONE')", "BYTEARRAY(B'BATTLE STATION')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'NAN', '300.0'], ('japanese name', 'object'): ["['INOCHI', 'CONVOY']", "['BUMBLE', 'GOLDBACK']", "['ROADBUSTER']", "['MEISTER']", "['MEGATRON']", "['METROFLEX']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'NONE', 'NONE'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Cybertronian', 'object'): ['TRUE', 'TRUE', 'TRUE', 'TRUE', 'TRUE', 'FALSE'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('function', 'object'): ['LEADER', 'ESPIONAGE', 'SECURITY', 'FIRST LIEUTENANT', 'NONE', 'BATTLE STATION'], ('names', 'object'): ['OPTIMUS', 'BUMBL#EBÉÉ ', 'IRONHIDE&', 'JAZZ', 'MEGATRON', 'METROPLEX_)^$'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'NAN']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_upper_multiple(self):
df = self.df.copy()
result = df.cols.upper(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): ['NONE', 'NONE', 'NONE', 'NONE', 'NONE', 'NONE'], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): ["['INOCHI', 'CONVOY']", "['BUMBLE', 'GOLDBACK']", "['ROADBUSTER']", "['MEISTER']", "['MEGATRON']", "['METROFLEX']"], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'NAN']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_upper_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.upper(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'NAN', '300.0']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_upper_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.upper(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): ['OPTIMUS', 'BUMBL#EBÉÉ ', 'IRONHIDE&', 'JAZZ', 'MEGATRON', 'METROPLEX_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_count(self):
df = self.create_dataframe(data={('word_count_test', 'object'): ['THis iS a TEST', 'for', ' how ', 'many words are in this sentence', ' ', '12']}, force_data_types=True)
result = df.cols.word_count(cols=['word_count_test'])
expected = self.create_dataframe(data={('word_count_test', 'int64'): [4, 1, 1, 6, 0, 1]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_count_all(self):
df = self.df.copy()
result = df.cols.word_count(cols='*')
expected = self.create_dataframe(data={('NullType', 'int64'): [1, 1, 1, 1, 1, 1], ('attributes', 'int64'): [5, 5, 5, 5, 5, 5], ('date arrival', 'int64'): [1, 1, 1, 1, 1, 1], ('function(binary)', 'int64'): [5, 5, 5, 6, 5, 6], ('height(ft)', 'int64'): [1, 1, 1, 1, 1, 1], ('japanese name', 'int64'): [7, 7, 4, 4, 4, 4], ('last date seen', 'int64'): [1, 1, 1, 1, 1, 1], ('last position seen', 'int64'): [3, 3, 3, 3, 1, 1], ('rank', 'int64'): [1, 1, 1, 1, 1, 1], ('Cybertronian', 'int64'): [1, 1, 1, 1, 1, 1], ('Date Type', 'int64'): [1, 1, 1, 1, 1, 1], ('age', 'int64'): [1, 1, 1, 1, 1, 1], ('function', 'int64'): [1, 1, 1, 2, 1, 2], ('names', 'int64'): [1, 3, 2, 1, 1, 4], ('timestamp', 'int64'): [1, 1, 1, 1, 1, 1], ('weight(t)', 'int64'): [1, 1, 1, 1, 1, 1]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_count_multiple(self):
df = self.df.copy()
result = df.cols.word_count(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'int64'): [1, 1, 1, 1, 1, 1], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'int64'): [7, 7, 4, 4, 4, 4], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'int64'): [1, 1, 1, 1, 1, 1]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_count_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.word_count(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'int64'): [1, 1, 1, 1, 1, 1]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_count_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.word_count(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'int64'): [1, 3, 2, 1, 1, 4]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_tokenize(self):
df = self.create_dataframe(data={('word_tokenize_test', 'object'): ['THis iS a TEST', 'for', ' how ', 'many words are in this sentence', ' ', '12']}, force_data_types=True)
result = df.cols.word_tokenize(cols=['word_tokenize_test'])
expected = self.create_dataframe(data={('word_tokenize_test', 'object'): [['THis', 'iS', 'a', 'TEST'], ['for'], ['how'], ['many', 'words', 'are', 'in', 'this', 'sentence'], [], ['12']]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_tokenize_all(self):
df = self.df.copy()
result = df.cols.word_tokenize(cols='*')
expected = self.create_dataframe(data={('NullType', 'object'): [['None'], ['None'], ['None'], ['None'], ['None'], ['None']], ('attributes', 'object'): [['[', '8.5344', ',', '4300.0', ']'], ['[', '5.334', ',', '2000.0', ']'], ['[', '7.9248', ',', '4000.0', ']'], ['[', '3.9624', ',', '1800.0', ']'], ['[', 'None', ',', '5700.0', ']'], ['[', '91.44', ',', 'None', ']']], ('date arrival', 'object'): [['1980/04/10'], ['1980/04/10'], ['1980/04/10'], ['1980/04/10'], ['1980/04/10'], ['1980/04/10']], ('function(binary)', 'object'): [['bytearray', '(', "b'Leader", "'", ')'], ['bytearray', '(', "b'Espionage", "'", ')'], ['bytearray', '(', "b'Security", "'", ')'], ['bytearray', '(', "b'First", 'Lieutenant', "'", ')'], ['bytearray', '(', "b'None", "'", ')'], ['bytearray', '(', "b'Battle", 'Station', "'", ')']], ('height(ft)', 'object'): [['-28.0'], ['17.0'], ['26.0'], ['13.0'], ['nan'], ['300.0']], ('japanese name', 'object'): [['[', "'Inochi", "'", ',', "'Convoy", "'", ']'], ['[', "'Bumble", "'", ',', "'Goldback", "'", ']'], ['[', "'Roadbuster", "'", ']'], ['[', "'Meister", "'", ']'], ['[', "'Megatron", "'", ']'], ['[', "'Metroflex", "'", ']']], ('last date seen', 'object'): [['2016/09/10'], ['2015/08/10'], ['2014/07/10'], ['2013/06/10'], ['2012/05/10'], ['2011/04/10']], ('last position seen', 'object'): [['19.442735', ',', '-99.201111'], ['10.642707', ',', '-71.612534'], ['37.789563', ',', '-122.400356'], ['33.670666', ',', '-117.841553'], ['None'], ['None']], ('rank', 'object'): [['10'], ['7'], ['7'], ['8'], ['10'], ['8']], ('Cybertronian', 'object'): [['True'], ['True'], ['True'], ['True'], ['True'], ['False']], ('Date Type', 'object'): [['2016-09-10'], ['2015-08-10'], ['2014-06-24'], ['2013-06-24'], ['2012-05-10'], ['2011-04-10']], ('age', 'object'): [['5000000'], ['5000000'], ['5000000'], ['5000000'], ['5000000'], ['5000000']], ('function', 'object'): [['Leader'], ['Espionage'], ['Security'], ['First', 'Lieutenant'], ['None'], ['Battle', 'Station']], ('names', 'object'): [['Optimus'], ['bumbl', '#', 'ebéé'], ['ironhide', '&'], ['Jazz'], ['Megatron'], ['Metroplex_', ')', '^', '$']], ('timestamp', 'object'): [['2014-06-24'], ['2014-06-24'], ['2014-06-24'], ['2014-06-24'], ['2014-06-24'], ['2014-06-24']], ('weight(t)', 'object'): [['4.3'], ['2.0'], ['4.0'], ['1.8'], ['5.7'], ['nan']]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_tokenize_multiple(self):
df = self.df.copy()
result = df.cols.word_tokenize(cols=['NullType', 'weight(t)', 'japanese name'], output_cols=['nt', 'wt', 'jn'])
expected = self.create_dataframe(data={('NullType', 'object'): [None, None, None, None, None, None], ('nt', 'object'): [['None'], ['None'], ['None'], ['None'], ['None'], ['None']], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('jn', 'object'): [['[', "'Inochi", "'", ',', "'Convoy", "'", ']'], ['[', "'Bumble", "'", ',', "'Goldback", "'", ']'], ['[', "'Roadbuster", "'", ']'], ['[', "'Meister", "'", ']'], ['[', "'Megatron", "'", ']'], ['[', "'Metroflex", "'", ']']], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Cybertronian', 'bool'): [True, True, True, True, True, False], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan], ('wt', 'object'): [['4.3'], ['2.0'], ['4.0'], ['1.8'], ['5.7'], ['nan']]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_tokenize_numeric(self):
df = self.df.copy().cols.select(['height(ft)'])
result = df.cols.word_tokenize(cols=['height(ft)'])
expected = self.create_dataframe(data={('height(ft)', 'object'): [['-28.0'], ['17.0'], ['26.0'], ['13.0'], ['nan'], ['300.0']]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_word_tokenize_string(self):
df = self.df.copy().cols.select(['names'])
result = df.cols.word_tokenize(cols=['names'], output_cols=['names_2'])
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('names_2', 'object'): [['Optimus'], ['bumbl', '#', 'ebéé'], ['ironhide', '&'], ['Jazz'], ['Megatron'], ['Metroplex_', ')', '^', '$']]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
class TestStringDask(TestStringPandas):
config = {'engine': 'dask', 'n_partitions': 1}
class TestStringPartitionDask(TestStringPandas):
config = {'engine': 'dask', 'n_partitions': 2}
try:
import cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestStringCUDF(TestStringPandas):
config = {'engine': 'cudf'}
try:
import dask_cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestStringDC(TestStringPandas):
config = {'engine': 'dask_cudf', 'n_partitions': 1}
try:
import dask_cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestStringPartitionDC(TestStringPandas):
config = {'engine': 'dask_cudf', 'n_partitions': 2}
try:
import pyspark # pyright: reportMissingImports=false
except:
pass
else:
class TestStringSpark(TestStringPandas):
config = {'engine': 'spark'}
try:
import vaex # pyright: reportMissingImports=false
except:
pass
else:
class TestStringVaex(TestStringPandas):
config = {'engine': 'vaex'}