repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
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featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/num_unique_separators.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage
from featuretools.primitives.base import TransformPrimitive
NATURAL_LANGUAGE_SEPARATORS = [" ", ".", ",", "!", "?", ";", "\n"]
class NumUniqueSeparators(TransformPrimitive):
r"... | 1,657 | 34.276596 | 87 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/num_words.py | import re
from string import punctuation
from typing import Optional
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage
from featuretools.primitives.base import TransformPrimitive
from featuretools.primitives.standard.transform.natur... | 1,655 | 32.795918 | 87 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/num_characters.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class NumCharacters(TransformPrimitive):
"""Calculates the number of... | 1,413 | 34.35 | 99 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/__init__.py | from featuretools.primitives.standard.transform.natural_language.count_string import (
CountString,
)
from featuretools.primitives.standard.transform.natural_language.mean_characters_per_word import (
MeanCharactersPerWord,
)
from featuretools.primitives.standard.transform.natural_language.median_word_length im... | 1,988 | 37.25 | 99 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/number_of_mentions.py | import re
import string
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage
from featuretools.primitives.standard.transform.natural_language.count_string import (
CountString,
)
class NumberOfMentions(CountString):
"""Determines the number of m... | 1,866 | 37.102041 | 106 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/punctuation_count.py | # -*- coding: utf-8 -*-
import re
import string
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage
from featuretools.primitives.standard.transform.natural_language.count_string import (
CountString,
)
class PunctuationCount(CountString):
"""D... | 1,230 | 29.775 | 87 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/number_of_words_in_quotes.py | import re
from string import punctuation
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable, NaturalLanguage
from featuretools.primitives.base import TransformPrimitive
from featuretools.primitives.standard.transform.natural_language.constants import... | 2,781 | 35.12987 | 133 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/natural_language/mean_characters_per_word.py | # -*- coding: utf-8 -*-
import re
import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double, NaturalLanguage
from featuretools.primitives.base import TransformPrimitive
PUNCTUATION = re.escape("!,.:;?")
END_OF_SENTENCE_PUNCT_RE = re.compile(
... | 1,754 | 29.789474 | 83 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_outlier_count.py | import numpy as np
import pandas as pd
from woodwork import init_series
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.ut... | 6,434 | 51.317073 | 115 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/lag.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, BooleanNullable
from featuretools.primitives.base import TransformPrimitive
class Lag(TransformPrimitive):
"""Shifts an array of values by a specified number of periods.
Args:
periods (int... | 2,144 | 33.596774 | 133 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_trend.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
apply_rolling_agg_to_series,
)
from... | 4,850 | 50.063158 | 159 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/utils.py | from typing import Callable, Optional, Union
import numpy as np
import pandas as pd
from pandas import Series
from pandas.core.window.rolling import Rolling
from pandas.tseries.frequencies import to_offset
def roll_series_with_gap(
series: Series,
window_length: Union[int, str],
gap: Union[int, str],
... | 12,762 | 49.248031 | 136 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_std.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
apply_rolling_agg_to_series,
)
cl... | 5,581 | 49.288288 | 122 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_min.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
apply_rolling_agg_to_series,
)
cl... | 5,420 | 47.401786 | 122 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_count.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
apply_rolling_agg_to_series,
)
cl... | 5,262 | 46.845455 | 122 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_max.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
apply_rolling_agg_to_series,
)
cl... | 5,421 | 46.982301 | 122 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/__init__.py | from featuretools.primitives.standard.transform.time_series.lag import Lag
from featuretools.primitives.standard.transform.time_series.numeric_lag import (
NumericLag,
)
from featuretools.primitives.standard.transform.time_series.rolling_count import (
RollingCount,
)
from featuretools.primitives.standard.trans... | 1,090 | 31.088235 | 90 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/numeric_lag.py | import warnings
import pandas as pd
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class NumericLag(TransformPrimitive):
"""Shifts an array of values by a specified number of periods.
Args:
periods (int): The number of periods by which to... | 2,023 | 33.305085 | 120 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/rolling_mean.py | import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
apply_rolling_ag... | 5,080 | 46.933962 | 122 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/expanding_trend.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
_apply_gap_for_expanding_primitives... | 3,061 | 37.275 | 104 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/expanding_mean.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
_apply_gap_for_expanding_primitives... | 2,768 | 37.458333 | 104 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/expanding_max.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
_apply_gap_for_expanding_primitives,
)
cl... | 2,731 | 36.944444 | 104 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/expanding_min.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
_apply_gap_for_expanding_primitives,
)
cl... | 2,730 | 37.464789 | 104 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/expanding_count.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, IntegerNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
_apply_gap_for_expanding_pr... | 2,885 | 36.973684 | 104 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/__init__.py | from featuretools.primitives.standard.transform.time_series.expanding.expanding_count import (
ExpandingCount,
)
from featuretools.primitives.standard.transform.time_series.expanding.expanding_max import (
ExpandingMax,
)
from featuretools.primitives.standard.transform.time_series.expanding.expanding_mean impor... | 688 | 35.263158 | 94 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/time_series/expanding/expanding_std.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.primitives.standard.transform.time_series.utils import (
_apply_gap_for_expanding_primitives... | 2,925 | 38.013333 | 104 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/email/is_free_email_domain.py | import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, EmailAddress
from featuretools.primitives.base import TransformPrimitive
class IsFreeEmailDomain(TransformPrimitive):
"""Determines if an email address is from a free email d... | 2,512 | 40.196721 | 109 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/email/email_address_to_domain.py | import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Categorical, EmailAddress
from featuretools.primitives.base import TransformPrimitive
class EmailAddressToDomain(TransformPrimitive):
"""Determines the domain of an email
Description:
... | 1,758 | 36.425532 | 109 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/email/__init__.py | from featuretools.primitives.standard.transform.email.email_address_to_domain import (
EmailAddressToDomain,
)
from featuretools.primitives.standard.transform.email.is_free_email_domain import (
IsFreeEmailDomain,
)
| 224 | 31.142857 | 86 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cum_sum.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class CumSum(TransformPrimitive):
"""Calculates the cumulative sum.
Description:
Given a list of values, return the cumulative sum
(or running total). There is no set window, so the
... | 982 | 28.787879 | 62 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cumulative_time_since_last_true.py | import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, Datetime, Double
from featuretools.primitives.base import TransformPrimitive
class CumulativeTimeSinceLastTrue(TransformPrimitive):
"""Determines the time (in seconds) since the last... | 2,013 | 36.296296 | 86 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cumulative_time_since_last_false.py | import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, Datetime, Double
from featuretools.primitives.base import TransformPrimitive
class CumulativeTimeSinceLastFalse(TransformPrimitive):
"""Determines the time since last `False` value.
... | 2,191 | 36.152542 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cum_min.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class CumMin(TransformPrimitive):
"""Calculates the cumulative minimum.
Description:
Given a list of values, return the cumulative min
(or running min). There is no set window, so the ... | 990 | 29.030303 | 62 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cum_count.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable
from featuretools.primitives.base import TransformPrimitive
class CumCount(TransformPrimitive):
"""Calculates the cumulative count.
Description:
Given a list of values, return the cu... | 1,099 | 28.72973 | 87 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/__init__.py | from featuretools.primitives.standard.transform.cumulative.cum_count import CumCount
from featuretools.primitives.standard.transform.cumulative.cum_max import CumMax
from featuretools.primitives.standard.transform.cumulative.cum_mean import CumMean
from featuretools.primitives.standard.transform.cumulative.cum_min impo... | 683 | 56 | 100 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cum_mean.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class CumMean(TransformPrimitive):
"""Calculates the cumulative mean.
Description:
Given a list of values, return the cumulative mean
(or running mean). There is no ... | 1,046 | 29.794118 | 66 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/cumulative/cum_max.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class CumMax(TransformPrimitive):
"""Calculates the cumulative maximum.
Description:
Given a list of values, return the cumulative max
(or running max). There is no set window, so the ... | 986 | 28.909091 | 62 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/multiply_numeric.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class MultiplyNumeric(TransformPrimitive):
"""Performs element-wise multiplication of two lists.
Descriptio... | 1,158 | 30.324324 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/less_than.py | import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime, Ordinal
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import L... | 2,178 | 38.618182 | 100 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/divide_by_feature.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class DivideByFeature(TransformPrimitive):
"""Divides a scalar by each value in the list.
Description:
Given a list of... | 1,231 | 29.8 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/less_than_scalar.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class LessThanScalar(TransformPrimitive):
"""Determines if values are less than ... | 1,311 | 32.641026 | 85 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/add_numeric.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class AddNumeric(TransformPrimitive):
"""Performs element-wise addition of two lists.
Description:
... | 1,114 | 29.135135 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/divide_numeric_scalar.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class DivideNumericScalar(TransformPrimitive):
"""Divides each element in the list by a scalar.
Description:
Given a l... | 1,216 | 30.205128 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/less_than_equal_to.py | import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime, Ordinal
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import L... | 2,267 | 40.236364 | 100 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/not_equal.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class NotEqual(TransformPrimitive):
"""Determines if values ... | 1,768 | 33.686275 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/multiply_boolean.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class MultiplyBoolean(TransformPrimitive):
"""Perfor... | 1,641 | 32.510204 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/equal_scalar.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class EqualScalar(TransformPrimitive):
"""Determines if values in a list are equ... | 1,207 | 30.789474 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/less_than_equal_to_scalar.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class LessThanEqualToScalar(TransformPrimitive):
"""Determines if values are les... | 1,429 | 33.878049 | 86 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/add_numeric_scalar.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class AddNumericScalar(TransformPrimitive):
"""Adds a scalar to each value in the list.
Description:
Given a list of n... | 1,154 | 30.216216 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/divide_numeric.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class DivideNumeric(TransformPrimitive):
"""Performs element-wise division of two lists.
Description:
Given a list of ... | 1,526 | 32.195652 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/greater_than_equal_to_scalar.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class GreaterThanEqualToScalar(TransformPrimitive):
"""Determines if values are ... | 1,460 | 34.634146 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/greater_than_scalar.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class GreaterThanScalar(TransformPrimitive):
"""Determines if values are greater... | 1,341 | 33.410256 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/not_equal_scalar.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class NotEqualScalar(TransformPrimitive):
"""Determines if values in a list are ... | 1,249 | 31.894737 | 87 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/modulo_numeric_scalar.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class ModuloNumericScalar(TransformPrimitive):
"""Computes the modulo of each element in the list by a given scalar.
Descripti... | 1,283 | 31.1 | 85 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/or_primitive.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Or(TransformPrimitive):
"""Performs element-wi... | 1,586 | 31.387755 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/greater_than.py | import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime, Ordinal
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import L... | 2,193 | 38.890909 | 100 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/greater_than_equal_to.py | import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime, Ordinal
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import L... | 2,297 | 40.781818 | 100 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/and_primitive.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class And(TransformPrimitive):
"""Performs element-w... | 1,595 | 31.571429 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/modulo_by_feature.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class ModuloByFeature(TransformPrimitive):
"""Computes the modulo of a scalar by each element in a list.
Description:
... | 1,263 | 30.6 | 85 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/__init__.py | from featuretools.primitives.standard.transform.binary.add_numeric import AddNumeric
from featuretools.primitives.standard.transform.binary.add_numeric_scalar import (
AddNumericScalar,
)
from featuretools.primitives.standard.transform.binary.and_primitive import And
from featuretools.primitives.standard.transform.... | 2,970 | 40.263889 | 95 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/multiply_numeric_boolean.py | import pandas.api.types as pdtypes
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class MultiplyNumericBoolean(TransformPr... | 2,306 | 33.432836 | 105 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/equal.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Equal(TransformPrimitive):
"""Determines if values in ... | 1,741 | 33.156863 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/multiply_numeric_scalar.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class MultiplyNumericScalar(TransformPrimitive):
"""Multiplies each element in the list by a scalar.
Description:
Give... | 1,200 | 31.459459 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/scalar_subtract_numeric_feature.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class ScalarSubtractNumericFeature(TransformPrimitive):
"""Subtracts each value in the list from a given scalar.
Description:
... | 1,311 | 33.526316 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/modulo_numeric.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class ModuloNumeric(TransformPrimitive):
"""Performs element-wise modulo of two lists.
Description:
... | 1,156 | 31.138889 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/subtract_numeric_scalar.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class SubtractNumericScalar(TransformPrimitive):
"""Subtracts a scalar from each element in the list.
Description:
Giv... | 1,211 | 31.756757 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/binary/subtract_numeric.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class SubtractNumeric(TransformPrimitive):
"""Performs element-wise subtraction of two lists.
Description:
... | 1,581 | 31.285714 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/tangent.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Tangent(TransformPrimitive):
"""Computes the tangent of a number.
Examples:
... | 785 | 29.230769 | 78 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/absolute.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Absolute(TransformPrimitive):
"""Computes the absolute value of a number.
Examples:
>>> absolute = Absolute()
... | 710 | 27.44 | 65 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/diff.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class Diff(TransformPrimitive):
"""Computes the difference between the value in a list and the
previous value in that list.
Args:
periods (int): The number of periods by which to shift the... | 1,416 | 29.148936 | 77 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/negate.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Negate(TransformPrimitive):
"""Negates a numeric value.
Examples:
>>> negate = Negate()
>>> negate([1.0, 23.2, -7.0]).tolist()
... | 812 | 26.1 | 65 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/sine.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Sine(TransformPrimitive):
"""Computes the sine of a number.
Examples:
>>> si... | 738 | 27.423077 | 78 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/percentile.py | from woodwork.column_schema import ColumnSchema
from featuretools.primitives.base import TransformPrimitive
class Percentile(TransformPrimitive):
"""Determines the percentile rank for each value in a list.
Examples:
>>> percentile = Percentile()
>>> percentile([10, 15, 1, 20]).tolist()
... | 808 | 27.892857 | 63 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/cosine.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Cosine(TransformPrimitive):
"""Computes the cosine of a number.
Examples:
>>... | 761 | 28.307692 | 78 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/__init__.py | from featuretools.primitives.standard.transform.numeric.absolute import Absolute
from featuretools.primitives.standard.transform.numeric.cosine import Cosine
from featuretools.primitives.standard.transform.numeric.diff import Diff
from featuretools.primitives.standard.transform.numeric.natural_logarithm import (
Na... | 942 | 51.388889 | 85 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/same_as_previous.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable
from featuretools.primitives.base import TransformPrimitive
class SameAsPrevious(TransformPrimitive):
"""Determines if a value is equal to the previous value in a list.
Description:
Compares a value in... | 2,723 | 38.478261 | 82 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/rate_of_change.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Double
from featuretools.primitives.base import TransformPrimitive
class RateOfChange(TransformPrimitive):
"""Computes the rate of change of a value per second.
Examples:
>>> import pandas as pd
>>> ... | 1,217 | 32.833333 | 78 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/square_root.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class SquareRoot(TransformPrimitive):
"""Computes the square root of a number.
Examples:
... | 761 | 28.307692 | 78 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/numeric/natural_logarithm.py | import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class NaturalLogarithm(TransformPrimitive):
"""Computes the natural logarithm of a number.
... | 861 | 29.785714 | 78 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/exponential/exponential_weighted_average.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
class ExponentialWeightedAverage(TransformPrimitive):
"""Computes the exponentially weighted moving average for a series of numbers
Description:
Retur... | 2,492 | 35.661765 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/exponential/exponential_weighted_variance.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
class ExponentialWeightedVariance(TransformPrimitive):
"""Computes the exponentially weighted moving variance for a series of numbers
Description:
Ret... | 2,561 | 36.130435 | 94 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/exponential/__init__.py | from featuretools.primitives.standard.transform.exponential.exponential_weighted_average import (
ExponentialWeightedAverage,
)
from featuretools.primitives.standard.transform.exponential.exponential_weighted_std import (
ExponentialWeightedSTD,
)
from featuretools.primitives.standard.transform.exponential.expo... | 390 | 38.1 | 98 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/exponential/exponential_weighted_std.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double
from featuretools.primitives.base import TransformPrimitive
class ExponentialWeightedSTD(TransformPrimitive):
"""Computes the exponentially weighted moving standard deviation for
a series of numbers
Description:
... | 2,549 | 35.428571 | 93 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/url/url_to_tld.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import URL, Categorical
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.common_tld_utils import COMMON_TLDS
class URLToTLD(TransformPrimitive):
"""Determines the top level domain of a url.
Descrip... | 1,507 | 33.272727 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/url/url_to_domain.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import URL, Categorical
from featuretools.primitives.base import TransformPrimitive
class URLToDomain(TransformPrimitive):
"""Determines the domain of a url.
Description:
Calculates the label to identify the network domain o... | 1,098 | 32.30303 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/url/__init__.py | from featuretools.primitives.standard.transform.url.url_to_domain import URLToDomain
from featuretools.primitives.standard.transform.url.url_to_protocol import URLToProtocol
from featuretools.primitives.standard.transform.url.url_to_tld import URLToTLD
| 253 | 62.5 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/url/url_to_protocol.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import URL, Categorical
from featuretools.primitives.base import TransformPrimitive
class URLToProtocol(TransformPrimitive):
"""Determines the protocol (http or https) of a url.
Description:
Extract the protocol of a url usi... | 1,059 | 30.176471 | 84 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/postal/two_digit_postal_code.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Categorical, PostalCode
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class TwoDigitPostalCode(TransformPrimitive):
"""Returns the two digit prefix... | 1,212 | 33.657143 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/postal/one_digit_postal_code.py | import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Categorical, PostalCode
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class OneDigitPostalCode(TransformPrimitive):
"""Returns the one digit prefix... | 1,209 | 33.571429 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/postal/__init__.py | from featuretools.primitives.standard.transform.postal.one_digit_postal_code import (
OneDigitPostalCode,
)
from featuretools.primitives.standard.transform.postal.two_digit_postal_code import (
TwoDigitPostalCode,
)
| 224 | 31.142857 | 85 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/second.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Ordinal
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Second(TransformPrimitive):
"""Determines the seconds value of a datetime.
Examples:
... | 1,037 | 28.657143 | 65 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/is_first_week_of_month.py | import numpy as np
import pandas as pd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime
from featuretools.primitives.base import TransformPrimitive
class IsFirstWeekOfMonth(TransformPrimitive):
"""Determines if a date falls in the first week of the mont... | 1,937 | 37.76 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/is_year_end.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class IsYearEnd(TransformPrimitive):
"""Determines if a date falls on the end of a year.
E... | 1,092 | 31.147059 | 69 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/year.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Ordinal
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Year(TransformPrimitive):
"""Determines the year value of a datetime.
Examples:
>>> ... | 1,023 | 28.257143 | 65 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/minute.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Ordinal
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Minute(TransformPrimitive):
"""Determines the minutes value of a datetime.
Examples:
... | 1,037 | 28.657143 | 65 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/month.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Ordinal
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Month(TransformPrimitive):
"""Determines the month value of a datetime.
Examples:
>>... | 1,023 | 28.257143 | 65 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/quarter.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Datetime, Ordinal
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Quarter(TransformPrimitive):
"""Determines the quarter a datetime column falls into (1, 2, 3, 4)
... | 1,030 | 28.457143 | 71 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/is_lunch_time.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class IsLunchTime(TransformPrimitive):
"""Determines if a datetime falls during configurable lu... | 1,480 | 33.44186 | 97 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/age.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import AgeFractional, Datetime
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class Age(TransformPrimitive):
"""Calculates the age in years as a floating point number given a
... | 1,454 | 34.487805 | 88 | py |
featuretools | featuretools-main/featuretools/primitives/standard/transform/datetime/is_weekend.py | from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import BooleanNullable, Datetime
from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library
class IsWeekend(TransformPrimitive):
"""Determines if a date falls on a weekend.
Examples:... | 1,027 | 31.125 | 65 | py |
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