code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
from collections import OrderedDict
from pandas import Series, DataFrame, notnull
from typing import Optional, List, Dict
from survey.generation.dependency import Dependency
from survey.generation.formatting import spaces, bold_blue, comma_and, bold_red
from survey.generation.mixins.name_index_mixin import NameIndexMi... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/generation/survey_question.py | 0.826887 | 0.378 | survey_question.py | pypi |
from typing import Optional, List
from survey.generation.survey_section import SurveySection
class SurveyDocument(object):
"""
Class to generate a document that lays out the questions and logic of a
survey. Composed of one or more sections e.g. "Screeners", "Demographics"
"""
def __init__(self, s... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/generation/survey_document.py | 0.877483 | 0.623205 | survey_document.py | pypi |
from typing import Optional, List
from survey.generation.formatting import comma_or
from survey.generation.mixins.name_index_mixin import NameIndexMixin
class Dependency(object):
"""
Class to place a dependency on whether a question is asked or not.
"""
def __init__(self, dependency_type: str,
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/generation/dependency.py | 0.928991 | 0.521227 | dependency.py | pypi |
from typing import Callable, Optional
from numpy import nan
from pandas import Series, isnull, Interval
from pandas.core.dtypes.inference import is_number
class ObjectDataMixin(object):
_data: Optional[Series]
_validate_data: Callable[[Series], None]
def _set_data(self, data: Series):
self.dat... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_mixins.py | 0.838812 | 0.582016 | data_mixins.py | pypi |
from copy import copy
from pandas import Series, notnull
from typing import TYPE_CHECKING
from survey.constants import CATEGORY_SPLITTER
if TYPE_CHECKING:
from survey.surveys.survey import Survey
class FilterableMixin(object):
survey: 'Survey'
data: Series
def where(self, **kwargs):
"""
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/filtering.py | 0.730097 | 0.409929 | filtering.py | pypi |
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from typing import List, Union, Dict, Optional, Tuple, Any
from survey.mixins.data_types.categorical_mixin import CategoricalMixin
class CategoricalGroupMixin(object):
items: List[CategoricalMixin]
def _set_categories(self):
"""
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/categorical_group_mixin.py | 0.924381 | 0.519156 | categorical_group_mixin.py | pypi |
from copy import copy
from pandas import concat, Index, MultiIndex, Series
from typing import Optional, Union, List, Dict
from survey.mixins.data_types.single_category_mixin import SingleCategoryMixin
class SingleCategoryStackMixin(object):
items: List[SingleCategoryMixin]
_item_dict: Dict[str, SingleCatego... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/containers/single_category_stack_mixin.py | 0.819641 | 0.430746 | single_category_stack_mixin.py | pypi |
from pandas import DataFrame
from typing import List, Optional, Union, Tuple
from survey.attributes import RespondentAttribute, SingleCategoryAttribute
from survey.custom_types import CategoricalQuestion, Categorical, Numerical
from survey.mixins.data_types.categorical_mixin import CategoricalMixin
from survey.mixins.... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/containers/item_container_mixin.py | 0.913327 | 0.441191 | item_container_mixin.py | pypi |
from copy import copy
from pandas import DataFrame, concat, notnull, Series
from typing import List, Optional
from survey.attributes import RespondentAttribute
class AttributeContainerMixin(object):
_attributes: List[RespondentAttribute]
@property
def data(self) -> DataFrame:
"""
Return... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/containers/attribute_container_mixin.py | 0.882263 | 0.563318 | attribute_container_mixin.py | pypi |
from copy import copy
from itertools import product
from typing import Dict, List, Optional, Union, Callable, TypeVar, Type, \
ClassVar, Generic
from pandas import notnull, Series, DataFrame
from survey.compound_types import StringOrStringTuple
from survey.mixins.data_types.categorical_mixin import CategoricalMix... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/containers/single_type_question_container_mixin.py | 0.849566 | 0.432243 | single_type_question_container_mixin.py | pypi |
from matplotlib.axes import Axes
from typing import Optional, List
from survey.utils.plots import plot_pt
from survey.utils.probability.prob_utils import create_cpt, create_jpt
class SingleCategoryGroupPTMixin(object):
name: str
category_names: List[str]
items: list
@property
def item_dict(self... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/single_category_group/single_category_group_pt_mixin.py | 0.949758 | 0.527195 | single_category_group_pt_mixin.py | pypi |
from typing import List, Union, Tuple, Optional, Dict
from matplotlib.patches import Patch
from mpl_format.axes.axis_utils import new_axes
from mpl_format.text.text_utils import wrap_text
from mpl_toolkits.axes_grid1.mpl_axes import Axes
from numpy import nan
from pandas import Series, DataFrame, get_dummies, concat
f... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/single_category_mixin.py | 0.903918 | 0.5592 | single_category_mixin.py | pypi |
from typing import Union, List, Dict, Optional
from pandas import Series
from survey.compound_types import GroupPairs
from survey.utils.processing import get_group_pairs
class CategoricalMixin(object):
_categories: Union[List[str], Dict[str, int]]
_ordered: bool
_data: Series
name: str
def _s... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/categorical_mixin.py | 0.916077 | 0.461563 | categorical_mixin.py | pypi |
from itertools import product
from typing import List
from pandas import Series, DataFrame, pivot_table
from probability.distributions import BetaBinomialConjugate
class SingleCategorySignificanceMixin(object):
@property
def categories(self) -> List[str]:
raise NotImplementedError
@property
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/single_category_significance_mixin.py | 0.846387 | 0.410934 | single_category_significance_mixin.py | pypi |
from matplotlib.axes import Axes
from pandas import Series
from typing import List
from survey.utils.plots import plot_pt
from survey.utils.probability.prob_utils import create_jpt, create_cpt
class MultiCategoryPTMixin(object):
data: Series
categories: List[str]
name: str
def plot_jpt(self, other:... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/multi_category_pt_mixin.py | 0.92103 | 0.419945 | multi_category_pt_mixin.py | pypi |
from mpl_format.axes.axes_formatter import AxesFormatter
from mpl_format.axes.axis_utils import new_axes
from mpl_toolkits.axes_grid1.mpl_axes import Axes
from numpy import arange, ndarray, histogram
from pandas import Series, DataFrame
from typing import Optional
from survey.compound_types import Bins
from survey.mix... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/discrete_1d_mixin.py | 0.93253 | 0.716665 | discrete_1d_mixin.py | pypi |
from itertools import product
from typing import List, Tuple, Optional
from matplotlib.axes import Axes
from pandas import Series, DataFrame
from probability.distributions import BetaBinomialConjugate
from survey.utils.data_frames import count_coincidences
from survey.utils.plots import plot_pt
from survey.utils.prob... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/single_category_pt_mixin.py | 0.864711 | 0.433382 | single_category_pt_mixin.py | pypi |
from matplotlib.axes import Axes
from pandas import Series, DataFrame
from typing import Tuple, List, Callable, Optional
from survey.utils.plots import plot_categorical_distribution
class SingleCategoryDistributionMixin(object):
data: Series
category_names: List[str]
text: str
significance_one_vs_an... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/mixins/data_types/single_category_distribution_mixin.py | 0.943413 | 0.598077 | single_category_distribution_mixin.py | pypi |
from typing import Optional
from matplotlib.axes import Axes
from mpl_format.axes.axis_utils import new_axes
from numpy import linspace
from probability.distributions import BetaBinomial
from survey.respondents.respondent_group import RespondentGroup
from survey.surveys.survey import Survey
from survey.utils.formatti... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/experiments/experiment_result.py | 0.936995 | 0.472197 | experiment_result.py | pypi |
from itertools import product
from pandas import DataFrame
from probability.distributions import BetaBinomial, BetaBinomialConjugate
from tqdm import tqdm
from typing import List, Tuple
from survey import Survey
from survey.attributes import SingleCategoryAttribute
from survey.custom_types import Categorical
from surv... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/experiments/_abstract/mixins.py | 0.886874 | 0.436922 | mixins.py | pypi |
from collections import OrderedDict
from itertools import product
from typing import Dict, List, Union, Callable, Optional, Tuple
from matplotlib.axes import Axes
from matplotlib.patches import Patch
from mpl_format.axes.axis_utils import new_axes
from mpl_format.text.text_utils import wrap_text
from pandas import Ser... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/likert_question.py | 0.949236 | 0.37981 | likert_question.py | pypi |
from typing import List, Optional, Dict
from matplotlib.axes import Axes
from numpy import sum
from pandas import Series, DataFrame, isnull
from survey.mixins.data_mixins import ObjectDataMixin
from survey.mixins.data_types.categorical_mixin import CategoricalMixin
from survey.mixins.named import NamedMixin
from surv... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/categorical_percentage_question.py | 0.901086 | 0.730278 | categorical_percentage_question.py | pypi |
from itertools import product
from typing import List, Optional, Dict, Tuple, Union, TYPE_CHECKING
from matplotlib.axes import Axes
from matplotlib.patches import Patch
from mpl_format.axes.axes_formatter import AxesFormatter
from mpl_format.axes.axis_utils import new_axes
from mpl_format.text.text_utils import wrap_t... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/multi_choice_question.py | 0.909444 | 0.403097 | multi_choice_question.py | pypi |
from itertools import product
from typing import List, Optional, Dict, Tuple
from matplotlib.axes import Axes
from mpl_format.axes.axes_formatter import AxesFormatter
from mpl_format.text.text_utils import map_text, wrap_text
from pandas import Series, isnull, DataFrame, pivot_table, notnull
from probability.distribut... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/ranked_choice_question.py | 0.907929 | 0.429071 | ranked_choice_question.py | pypi |
from pandas import Series, concat
from typing import List, Union, Optional
from survey.mixins.data_mixins import SingleCategoryDataMixin
from survey.mixins.data_types.categorical_mixin import CategoricalMixin
from survey.mixins.data_types.single_category_distribution_mixin import \
SingleCategoryDistributionMixin
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/single_choice_question.py | 0.926287 | 0.404684 | single_choice_question.py | pypi |
from matplotlib.axes import Axes
from mpl_format.axes.axis_utils import new_axes
from mpl_format.text.text_utils import wrap_text
from nltk import RegexpTokenizer, WordNetLemmatizer
from nltk.corpus import stopwords
from nltk.tokenize.api import TokenizerI
from pandas import Series, DataFrame, concat
from typing import... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/free_text_question.py | 0.925928 | 0.48871 | free_text_question.py | pypi |
from typing import Optional, Union, List
from pandas import Series, cut, qcut, concat, IntervalIndex
from survey.mixins.data_mixins import NumericDataMixin
from survey.mixins.data_types.continuous_1d_mixin import Continuous1dMixin
from survey.mixins.data_validation.positive_measure_validation_mixin import \
Posit... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/positive_measure_question.py | 0.929911 | 0.562237 | positive_measure_question.py | pypi |
from matplotlib.axes import Axes
from numpy import nan
from pandas import Series, notnull
from typing import TYPE_CHECKING, Optional
from survey.mixins.filtering import FilterableMixin
if TYPE_CHECKING:
from survey import Survey
class Question(FilterableMixin, object):
"""
Class to represent a Survey Qu... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/questions/_abstract/question.py | 0.872102 | 0.474327 | question.py | pypi |
from pandas import Series
from typing import List, Union, Optional
from survey.attributes._abstract.respondent_attribute import RespondentAttribute
from survey.mixins.data_mixins import SingleCategoryDataMixin
from survey.mixins.data_types.categorical_mixin import CategoricalMixin
from survey.mixins.data_types.single_... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/attributes/single_category_attribute.py | 0.9345 | 0.332459 | single_category_attribute.py | pypi |
from typing import Optional
from pandas import Series, cut, qcut
from survey.attributes import SingleCategoryAttribute
from survey.attributes._abstract.respondent_attribute import RespondentAttribute
from survey.mixins.data_mixins import NumericDataMixin
from survey.mixins.data_types.continuous_1d_mixin import Contin... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/attributes/positive_measure_attribute.py | 0.919881 | 0.353191 | positive_measure_attribute.py | pypi |
from matplotlib.axes import Axes, SubplotBase
from matplotlib.axis import Axis
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
from mpl_format.axes.axis_utils import new_axes
from mpl_format.text.text_utils import wrap_text, map_text
from numpy.ma import ... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/utils/plots.py | 0.938498 | 0.558508 | plots.py | pypi |
import matplotlib.pyplot as plt
from sklearn.feature_extraction.text import TfidfVectorizer
from typing import List, Union
from survey.attributes import SingleCategoryAttribute
from survey.custom_types import CategoricalQuestion
from survey.surveys.survey import Survey
from survey.utils.misc import listify
from survey... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/utils/tf_idf.py | 0.835752 | 0.542439 | tf_idf.py | pypi |
from pandas import Series, DataFrame
from survey.compound_types import GroupPairs
def get_group_pairs(
items: list, ordered: bool, include_empty: bool
) -> GroupPairs:
"""
Return all ordered groupings of the items into 2 groups.
:param items: The items to use.
:param ordered: Whether to rest... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/utils/processing.py | 0.755457 | 0.521532 | processing.py | pypi |
from pandas import DataFrame, Series
from itertools import product
from survey.attributes import SingleCategoryAttribute
from survey.questions import SingleChoiceQuestion
from survey.surveys.survey import Survey
from survey.utils.processing import match_all
def analyze_responses_by_attribute(
survey: Survey,... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/utils/analysis.py | 0.701202 | 0.500732 | analysis.py | pypi |
import matplotlib.pyplot as plt
from matplotlib.axes import Axes
from nltk import word_tokenize, PorterStemmer, WordNetLemmatizer, \
RegexpTokenizer
from nltk.corpus import stopwords
from nltk.tokenize.api import TokenizerI
from numpy import ndarray
from numpy.ma import argsort, squeeze
from pandas import DataFrame... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/utils/nlp.py | 0.875282 | 0.60871 | nlp.py | pypi |
from typing import List, Union
from pandas import DataFrame, Series
from survey.utils.data_frames import count_coincidences
def create_cpt(prob_data: Union[DataFrame, Series],
cond_data: Union[DataFrame, Series],
prob_name: str, cond_name: str,
prob_order: List[str], con... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/utils/probability/prob_utils.py | 0.957735 | 0.896433 | prob_utils.py | pypi |
from typing import List, Optional
from pandas import DataFrame, notnull
from survey.surveys.metadata.mixins import Metadata
class QuestionMetadata(Metadata):
def __init__(self, name: str, text: str, type_name: str,
ordered: bool = None, expression: str = None,
loop_variables: ... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/metadata/question_metadata.py | 0.8927 | 0.469459 | question_metadata.py | pypi |
from pandas import DataFrame, notnull
from typing import List, Optional
from survey.surveys.metadata.mixins import Metadata
class AttributeMetadata(Metadata):
def __init__(self, name: str, text: str, type_name: str,
ordered: bool = None, expression: str = None,
loop_variables: ... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/metadata/attribute_metadata.py | 0.896163 | 0.403831 | attribute_metadata.py | pypi |
from collections import OrderedDict
from pandas import DataFrame, read_excel, read_csv, Series
from pathlib import Path
from re import match
from typing import Union
class SurveyMetadataMixin(object):
data: DataFrame
def header_info(self) -> DataFrame:
"""
Return a dataframe with information... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/provider_utils/survey_metadata.py | 0.796332 | 0.485234 | survey_metadata.py | pypi |
from numpy import nan
from pandas import Series, DataFrame, isnull
from typing import List
from survey.constants import CATEGORY_SPLITTER
from survey.surveys.metadata.question_metadata import QuestionMetadata
from survey.surveys.survey_creators.base.survey_creator import SurveyCreator
class AlphaHQCreator(SurveyCrea... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/survey_creators/alpha_hq_creator.py | 0.608943 | 0.360602 | alpha_hq_creator.py | pypi |
from typing import List
from pandas import read_excel, DataFrame, Series, notnull, concat, isnull, \
ExcelFile
from stringcase import snakecase
from survey.constants import CATEGORY_SPLITTER
from survey.surveys.metadata import QuestionMetadata, AttributeMetadata
from survey.surveys.survey_creators import SurveyCr... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/survey_creators/pollfish_creator.py | 0.679179 | 0.277387 | pollfish_creator.py | pypi |
from collections import OrderedDict
from itertools import product
from re import match
from typing import List, Dict
from numpy import nan
from pandas import read_excel, DataFrame, Series, ExcelFile, concat, notnull, \
isnull
from survey import Survey
from survey.groups.question_groups.count_question_group import... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/survey_creators/focus_vision_creator.py | 0.620622 | 0.300906 | focus_vision_creator.py | pypi |
from pandas import DataFrame, read_csv, Series
from re import match
from survey.constants import CATEGORY_SPLITTER
from survey.surveys.metadata.question_metadata import QuestionMetadata
from survey.surveys.survey_creators.base.survey_creator import SurveyCreator
class QualtricsCreator(SurveyCreator):
def read_s... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/survey_creators/qualtrics_creator.py | 0.570331 | 0.416085 | qualtrics_creator.py | pypi |
from pandas import DataFrame, read_excel, ExcelFile, read_csv, concat, Series, \
notnull
from pathlib import Path
from re import match
from typing import Optional, List, Union, Callable
from survey import Survey
from survey.attributes import PositiveMeasureAttribute
from survey.mixins.data_types.categorical_mixin ... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/surveys/survey_creators/base/survey_creator.py | 0.851135 | 0.333639 | survey_creator.py | pypi |
# @Time : 2020/2/8 14:29
# @File : strategy.py
# @User : yangchuan
# @Desc : quant trade strategy information
from quant_trade_framework.btc import context
from quant_trade_framework.common.constant import Constant,Symbol
from datetime import timedelta
from quant_trade_framework.common.logConfig import Log... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/btc/strategy.py | 0.637934 | 0.2304 | strategy.py | pypi |
# @Time : 2020/2/8 20:11
# @File : account.py
# @User : yangchuan
# @Desc :
from .position import position
from quant_trade_framework.common.logConfig import Logger
logger = Logger.module_logger("system")
class account:
def __init__(self, name: str, exchange: str, account_type: str, position_base: l... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/btc/account.py | 0.476336 | 0.23421 | account.py | pypi |
# @Time : 2020/2/8 14:20
# @File : self.py
# @User : yangchuan
# @Desc : get the quant trade data
from pymongo import MongoClient,DESCENDING
from quant_trade_framework.common.constant import Constant
from quant_trade_framework.stock import account
import numpy as np
import pandas as pd
from datetime import... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/stock/context.py | 0.569853 | 0.258408 | context.py | pypi |
# @Time : 2020/2/8 14:29
# @File : strategy.py
# @User : yangchuan
# @Desc : quant trade strategy information
from quant_trade_framework.stock.context import Context
from quant_trade_framework.common.constant import Constant
from datetime import timedelta
from quant_trade_framework.common.logConfig import ... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/stock/strategy.py | 0.61231 | 0.196017 | strategy.py | pypi |
# @Time : 2020/2/8 20:11
# @File : account.py
# @User : yangchuan
# @Desc :
from quant_trade_framework.stock.position import Position
from quant_trade_framework.common.constant import Constant,TradeConfig
from quant_trade_framework.stock.order import Order
from datetime import datetime
from quant_trade_fr... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/stock/account.py | 0.499268 | 0.249493 | account.py | pypi |
from dataclasses import dataclass
from datetime import datetime
from logging import INFO
from quant_trade_framework.common.constant import Direction, Exchange, Interval, Offset, Status, Product, OptionType, OrderType
ACTIVE_STATUSES = set([Status.SUBMITTING, Status.NOTTRADED, Status.PARTTRADED])
@dataclass
class Ba... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/core/object.py | 0.737631 | 0.466116 | object.py | pypi |
import json
from pathlib import Path
from typing import Callable
from decimal import Decimal
import numpy as np
from pandas import DataFrame
from quant_trade_framework.common.array_manager import ArrayManager
import pandas as pd
import talib as ta
from .object import BarData, TickData
from quant_trade_framework.commo... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/core/utility.py | 0.612657 | 0.248865 | utility.py | pypi |
from datetime import datetime
from typing import List, Optional, Sequence, Type
from peewee import (
AutoField,
CharField,
Database,
DateTimeField,
FloatField,
BigAutoField,
Model,
TextField,
MySQLDatabase,
PostgresqlDatabase,
SqliteDatabase,
chunked,
)
import json
from... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/data/database/database_sql.py | 0.876476 | 0.241501 | database_sql.py | pypi |
import numpy as np
import talib
from quant_trade_framework.core.object import BarData
class ArrayManager(object):
"""
For:
1. time series container of bar data
2. calculating technical indicator value
"""
def __init__(self, size=100):
"""Constructor"""
self.count = 0
se... | /quant_trade_framework-0.1.3.tar.gz/quant_trade_framework-0.1.3/quant_trade_framework/common/array_manager.py | 0.843251 | 0.594551 | array_manager.py | pypi |
# Quant-trading.network BitMEX Market Maker
This is a fully working sample market making bot for use with [BitMEX](https://www.bitmex.com).
It is free to use and modify for your own development.
**Test on [Testnet](https://testnet.bitmex.com) first!** Testnet trading is completely free and is identical to the live m... | /quant-trading-bitmex-market-maker-2.8.0.tar.gz/quant-trading-bitmex-market-maker-2.8.0/README.md | 0.788176 | 0.894513 | README.md | pypi |
from collections import defaultdict
from itertools import product
import pandas as pd
class Indexer:
def __init__(self, timestamp, values, col_idx, symbol,
n, series=False):
self.clock = timestamp
self.values = values
self.col_idx = col_idx
self.symbol = symbol
... | /quant-trading-laetitudebots-0.1.1.tar.gz/quant-trading-laetitudebots-0.1.0/laetitudebots/factors/factors.py | 0.759225 | 0.280327 | factors.py | pypi |
from laetitudebots.util.talib_method import talib_method
def initialize(factors, config):
idx = config['parameters']['idx']
factors['close'] = factors.close
factors['high'] = factors.high
factors['slow'] = factors.low
factors['dx'] = talib_method(
method='DX',
timeperiod=idx,
... | /quant-trading-laetitudebots-0.1.1.tar.gz/quant-trading-laetitudebots-0.1.0/laetitudebots/strategy/dmi_v2.py | 0.420957 | 0.287318 | dmi_v2.py | pypi |
from laetitudebots.util.talib_method import talib_method
def initialize(factors, config):
period = config['parameters']['period']
fastln = config['parameters']['fastln']
slowln = config['parameters']['slowln']
stmacdln = config['parameters']['stmacdln']
factors['highest'] = factors.high.rolling(pe... | /quant-trading-laetitudebots-0.1.1.tar.gz/quant-trading-laetitudebots-0.1.0/laetitudebots/strategy/stochmacd.py | 0.442877 | 0.238994 | stochmacd.py | pypi |
from laetitudebots.util.talib_method import talib_method
def initialize(factors, context):
params = context['parameters']
p = params['p']
q = params['q']
x = params['x']
factors['atr'] = talib_method(method='ATR', timeperiod=p,
args=[factors.high, factors.low,
... | /quant-trading-laetitudebots-0.1.1.tar.gz/quant-trading-laetitudebots-0.1.0/laetitudebots/strategy/cks.py | 0.473414 | 0.356447 | cks.py | pypi |
import pandas as _pd
import numpy as _np
from math import ceil as _ceil
from scipy.stats import (
norm as _norm, linregress as _linregress
)
from . import utils as _utils
# ======== STATS ========
def pct_rank(prices, window=60):
""" rank prices by window """
rank = _utils.multi_shift(prices, window).T... | /quant-trading-quantstats-0.0.23.tar.gz/quant-trading-quantstats-0.0.23/quantstats/stats.py | 0.851706 | 0.563078 | stats.py | pypi |
__version__ = "0.0.23"
__author__ = "Ran Aroussi"
from . import stats, utils, plots, reports
__all__ = ['stats', 'plots', 'reports', 'utils', 'extend_pandas']
def extend_pandas():
"""
extends pandas by exposing methods to be used like:
df.sharpe(), df.best('day'), ...
"""
from pandas.core.base ... | /quant-trading-quantstats-0.0.23.tar.gz/quant-trading-quantstats-0.0.23/quantstats/__init__.py | 0.84137 | 0.693855 | __init__.py | pypi |
import warnings
import matplotlib.pyplot as _plt
from matplotlib.ticker import (
StrMethodFormatter as _StrMethodFormatter,
FuncFormatter as _FuncFormatter
)
import numpy as _np
from pandas import DataFrame as _df
import seaborn as _sns
from .. import (
stats as _stats, utils as _utils,
)
from . import ... | /quant-trading-quantstats-0.0.23.tar.gz/quant-trading-quantstats-0.0.23/quantstats/_plotting/wrappers.py | 0.54359 | 0.36506 | wrappers.py | pypi |
import asyncio
import copy
import datetime
import json
from typing import Dict, List, Union
import ccxt
import pandas as pd
import pytz
import websockets
from tradingtools.exchange.abc import ABCExchange
from tradingtools.util import websocket_error_handler
from .deribit_response_mapper import DeribitResponseMapper
... | /quant-trading-tradingtools-0.1.18.tar.gz/quant-trading-tradingtools-0.1.18/tradingtools/exchange/deribit/deribit_exchange.py | 0.746601 | 0.159872 | deribit_exchange.py | pypi |
from typing import Dict, List
import ccxt
import pandas as pd
from tradingtools.exchange.abc import ABCExchange
from tradingtools.util import to_nearest
from .bitmex_response_mapper import BitmexResponseMapper
__all__ = ['BitmexExchange']
class BitmexExchange(ABCExchange):
name = 'bitmex'
mapper = BitmexRe... | /quant-trading-tradingtools-0.1.18.tar.gz/quant-trading-tradingtools-0.1.18/tradingtools/exchange/bitmex/bitmex_exchange.py | 0.757346 | 0.255392 | bitmex_exchange.py | pypi |
import numpy as np
__all__ = ['BitmexResponseMapper']
class BitmexResponseMapper:
@staticmethod
def map_balance_response(balance: dict) -> dict:
xbt_sats_mult = 0.00000001
return {
'asset': 'BTC',
'available': balance['availableMargin'] * xbt_sats_mult,
't... | /quant-trading-tradingtools-0.1.18.tar.gz/quant-trading-tradingtools-0.1.18/tradingtools/exchange/bitmex/bitmex_response_mapper.py | 0.655667 | 0.226463 | bitmex_response_mapper.py | pypi |
class FTXResponseMapper:
@staticmethod
def map_balance_response(balance: dict) -> dict:
return {
'asset': balance['coin'],
'available': balance['free'],
'total': balance['total'],
}
@staticmethod
def map_order_response(order: dict) -> dict:
... | /quant-trading-tradingtools-0.1.18.tar.gz/quant-trading-tradingtools-0.1.18/tradingtools/exchange/ftx/ftx_response_mapper.py | 0.654453 | 0.240953 | ftx_response_mapper.py | pypi |
from typing import Dict, List
import ccxt
import pandas as pd
from tradingtools.exchange.abc import ABCExchange
from tradingtools.util import to_nearest
from .ftx_response_mapper import FTXResponseMapper
__all__ = ['FTXExchange']
ORDER_TYPES = {
'market': 'market',
'limit': 'limit',
'stop': 'stop',
... | /quant-trading-tradingtools-0.1.18.tar.gz/quant-trading-tradingtools-0.1.18/tradingtools/exchange/ftx/ftx_exchange.py | 0.767211 | 0.221824 | ftx_exchange.py | pypi |
from typing import Dict, List
import ccxt
import pandas as pd
from tradingtools.exchange.abc import ABCExchange
from tradingtools.util import rounder, to_nearest
from .binance_response_mapper import BinanceResponseMapper
__all__ = ['BinanceSpotExchange']
ORDER_TYPES = {'market': 'market', 'limit': 'limit'}
clas... | /quant-trading-tradingtools-0.1.18.tar.gz/quant-trading-tradingtools-0.1.18/tradingtools/exchange/binance/binance_exchange.py | 0.805785 | 0.259058 | binance_exchange.py | pypi |
import numpy as np
import pandas as pd
from quant_util.data_process_MathFun import winsorize, orthogonalize
def bs_add(p1, p2):
return p1 + p2
def bs_sub(p1, p2):
return p1 - p2
def bs_mul(p1, p2):
return p1 * p2
def bs_div(p1, p2):
return p1 / p2
def bs_sqrt(p1):
return np.sqrt(p1)
def ... | /quant_util-1.0.5-py3-none-any.whl/quant_util/data_operator.py | 0.451568 | 0.7488 | data_operator.py | pypi |
import pandas as pd
import numpy as np
from quant_util import fill_dict_nan, sort_dict_by_key
def log_return(series):
var = np.log(series)
var = np.diff(var)
return np.concatenate(([np.nan], var))
def realized_volatility(series):
return np.sqrt(np.nansum(series ** 2))
def count_unique(series):
... | /quant_util-1.0.5-py3-none-any.whl/quant_util/FeatureHfClass.py | 0.440108 | 0.412294 | FeatureHfClass.py | pypi |
import pandas as pd
import numpy as np
from quant_util import fill_dict_nan, sort_dict_by_key
def log_return(series):
var = np.log(series)
var = np.diff(var)
return np.concatenate(([np.nan], var))
def realized_volatility(series):
return np.sqrt(np.nansum(series ** 2))
def count_unique(series):
... | /quant_util-1.0.5-py3-none-any.whl/quant_util/FeatureHf.py | 0.440108 | 0.412294 | FeatureHf.py | pypi |
import typing
import numpy as np
from vnpy.app.cta_strategy import (
TickData,
BarData,
CtaSignal as CtaSignalBase,
)
from vnpy.trader.constant import Interval
from .enhancement import BarGenerator, ArrayManager, CtaSignal
class MACDSignal(CtaSignalBase):
""""""
def __init__(self, fast_window: ... | /quant_vnpy-0.6.0-py3-none-any.whl/quant_vnpy/utils/cta_signal.py | 0.553264 | 0.398845 | cta_signal.py | pypi |
import collections
import inspect
import re
from datetime import timedelta, time
from typing import Callable, Union, Tuple, Optional
import numpy as np
import pandas as pd
import talib
from vnpy.app.cta_strategy import (
BarData,
BarGenerator as BarGeneratorBase,
ArrayManager as ArrayManagerBase,
CtaSi... | /quant_vnpy-0.6.0-py3-none-any.whl/quant_vnpy/utils/enhancement.py | 0.513181 | 0.203609 | enhancement.py | pypi |
import os
from collections import OrderedDict
from datetime import datetime, date
from multiprocessing import Lock
from typing import List, Dict
import ffn # NOQA
import numpy as np
import plotly.graph_objects as go
import plotly.io as pio
from pandas import DataFrame
from plotly.subplots import make_subplots
from vn... | /quant_vnpy-0.6.0-py3-none-any.whl/quant_vnpy/backtest/portfolio_strategy/engine.py | 0.707809 | 0.299156 | engine.py | pypi |
import logging
import os
from collections import OrderedDict, defaultdict
from datetime import date, datetime
from multiprocessing import Lock
import ffn # NOQA
import numpy as np
import plotly.graph_objects as go
import plotly.io as pio
from pandas import DataFrame
from plotly.subplots import make_subplots
from vnpy... | /quant_vnpy-0.6.0-py3-none-any.whl/quant_vnpy/backtest/cta_strategy/engine.py | 0.53048 | 0.227341 | engine.py | pypi |
import sys
import hashlib
from binascii import hexlify, unhexlify
try:
from Cryptodome.Cipher import AES
except ImportError:
try:
from Crypto.Cipher import AES
except ImportError:
raise ImportError("Missing dependency: pyCryptodome")
from .account import PrivateKey, PublicKey
import struct
... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitsharesbase/memo.py | 0.578091 | 0.369884 | memo.py | pypi |
from graphenebase.account import (
PasswordKey as GPHPasswordKey,
BrainKey as GPHBrainKey,
Address as GPHAddress,
PublicKey as GPHPublicKey,
PrivateKey as GPHPrivateKey
)
import sys
import hashlib
from binascii import hexlify, unhexlify
class PasswordKey(GPHPasswordKey):
""" This class derive... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitsharesbase/account.py | 0.624064 | 0.373133 | account.py | pypi |
import json
from bitshares.account import Account
from bitsharesbase import operations
from bitsharesbase.asset_permissions import (
asset_permissions,
force_flag,
test_permissions,
todict
)
from .exceptions import AssetDoesNotExistsException
from .blockchainobject import BlockchainObject
class Asset(... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/asset.py | 0.759939 | 0.308418 | asset.py | pypi |
from .instance import BlockchainInstance
from .account import Account
from .exceptions import ProposalDoesNotExistException
from .blockchainobject import BlockchainObject, ObjectCache
from .utils import parse_time
import logging
log = logging.getLogger(__name__)
class Proposal(BlockchainObject):
""" Read data abo... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/proposal.py | 0.818519 | 0.198103 | proposal.py | pypi |
from .instance import BlockchainInstance
from .asset import Asset
from .amount import Amount
from bitsharesbase.operations import (
Operation
)
class OperationsFee(list):
""" Obtain the fee associated with an actual operation
:param list operations: list of operations as dictionary
:param bit... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/fee.py | 0.663887 | 0.160036 | fee.py | pypi |
from fractions import Fraction
from .exceptions import InvalidAssetException
from .instance import BlockchainInstance
from .account import Account
from .amount import Amount
from .asset import Asset
from .utils import formatTimeString
from .utils import parse_time, assets_from_string
class Price(dict, BlockchainInsta... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/price.py | 0.836555 | 0.397588 | price.py | pypi |
from .instance import BlockchainInstance
from .account import Account
from .asset import Asset
from .amount import Amount
from .price import Price
from bitsharesbase import operations
class Dex(BlockchainInstance):
""" This class simplifies interactions with the decentralized exchange.
:param bitshares.b... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/dex.py | 0.867682 | 0.310446 | dex.py | pypi |
from .instance import BlockchainInstance
from datetime import datetime, timedelta
from .utils import (
formatTimeFromNow, formatTime, formatTimeString, assets_from_string)
from .asset import Asset
from .amount import Amount
from .price import Price, Order, FilledOrder
from .account import Account
from bitsharesbase... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/market.py | 0.831964 | 0.26377 | market.py | pypi |
import re
import time
from datetime import datetime, timezone
from .exceptions import ObjectNotInProposalBuffer
timeFormat = '%Y-%m-%dT%H:%M:%S'
def formatTime(t):
""" Properly Format Time for permlinks
"""
if isinstance(t, float):
return datetime.utcfromtimestamp(t).strftime(timeFormat)
if i... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/utils.py | 0.685002 | 0.282585 | utils.py | pypi |
from .instance import BlockchainInstance
from .account import Account
from .exceptions import WitnessDoesNotExistsException
from .blockchainobject import BlockchainObject
class Witness(BlockchainObject):
""" Read data about a witness in the chain
:param str account_name: Name of the witness
:para... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/witness.py | 0.807043 | 0.217421 | witness.py | pypi |
from .exceptions import BlockDoesNotExistsException
from .utils import parse_time
from .blockchainobject import BlockchainObject
class Block(BlockchainObject):
""" Read a single block from the chain
:param int block: block number
:param bitshares.bitshares.BitShares blockchain_instance: BitShares... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/block.py | 0.854111 | 0.455259 | block.py | pypi |
from .instance import BlockchainInstance
from .asset import Asset
class Amount(dict):
""" This class deals with Amounts of any asset to simplify dealing with the tuple::
(amount, asset)
:param list args: Allows to deal with different representations of an amount
:param float amount: ... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/amount.py | 0.891999 | 0.53206 | amount.py | pypi |
from graphenestorage.exceptions import WrongMasterPasswordException
class WalletExists(Exception):
""" A wallet has already been created and requires a password to be
unlocked by means of :func:`bitshares.wallet.unlock`.
"""
pass
class WalletLocked(Exception):
""" Wallet is locked
"""
... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/exceptions.py | 0.639398 | 0.360123 | exceptions.py | pypi |
from .instance import BlockchainInstance
from .exceptions import AccountDoesNotExistsException
from .blockchainobject import BlockchainObject
import logging
log = logging.getLogger()
class Account(BlockchainObject):
""" This class allows to easily access Account data
:param str account_name: Name of the... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/account.py | 0.831622 | 0.314774 | account.py | pypi |
import logging
import os
from graphenebase import bip38
from bitsharesbase.account import PrivateKey
from .storage import get_default_key_store, InRamPlainKeyStore
from .instance import BlockchainInstance
from .account import Account
from .exceptions import (
KeyNotFound,
InvalidWifError,
WalletExists,
... | /quantadex-1.2.1.tar.gz/quantadex-1.2.1/bitshares/wallet.py | 0.654011 | 0.157234 | wallet.py | pypi |
import os, sys
import asyncio
import time
import pyqubo as pq
from quantagonia.cloud.cloud_runner import CloudRunner
from quantagonia.enums import HybridSolverServers, HybridSolverConnectionType
from quantagonia.qubo import *
from quantagonia.runner import Runner
from quantagonia.runner_factory import RunnerFactory
f... | /quantagonia_api_client-0.63-py3-none-any.whl/quantagonia/examples/async_qubo.py | 0.473657 | 0.280955 | async_qubo.py | pypi |
from __future__ import annotations
import os, os.path
import copy
try:
from functools import singledispatchmethod
except:
from singledispatchmethod import singledispatchmethod
from quantagonia.qubo.term import *
from quantagonia.qubo.expression import *
class QuboVariable(object):
def __init__(self, na... | /quantagonia_api_client-0.63-py3-none-any.whl/quantagonia/qubo/variable.py | 0.68215 | 0.301793 | variable.py | pypi |
import rich_click as click
import pkg_resources
from ..variables import SUPPORTED_MODELS
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
__version__ = pkg_resources.get_distribution('quantaq_cli').version
@click.group(context_settings=CONTEXT_SETTINGS)
@click.version_option(__version__)
@click.pass_cont... | /quantaq_cli-0.5.0a0-py3-none-any.whl/quantaq_cli/console/__init__.py | 0.429788 | 0.171581 | __init__.py | pypi |
from pathlib import Path
import pandas as pd
import numpy as np
import click
from terminaltables import SingleTable
from ...exceptions import InvalidFileExtension, InvalidDeviceModel
from ...utilities import safe_load
from ...variables import FLAGS, SUPPORTED_MODELS
def expunge_command(file, output, **kwargs):
v... | /quantaq_cli-0.5.0a0-py3-none-any.whl/quantaq_cli/console/commands/expunge.py | 0.427397 | 0.195325 | expunge.py | pypi |
from pathlib import Path
import pandas as pd
import numpy as np
import click
from ...exceptions import InvalidFileExtension
from ...utilities import safe_load
def merge_command(files, output, **kwargs):
verbose = kwargs.pop("verbose", False)
tscol = kwargs.pop("tscol", "timestamp_iso")
# create an arr... | /quantaq_cli-0.5.0a0-py3-none-any.whl/quantaq_cli/console/commands/merge.py | 0.448426 | 0.279218 | merge.py | pypi |
|Build Status| |DocBuild Status| |Coverage|
QUANTArhei: Open Quantum System Theory for Molecular Systems
============================================================
Quantarhei is a Molecular Open Quantum Systems Simulator written predominantly
in Python. Its name is derived from the famous aphorism "Panta rhei"... | /quantarhei-0.0.65.tar.gz/quantarhei-0.0.65/README.rst | 0.819785 | 0.67986 | README.rst | pypi |
import uuid
from quantastica.qiskit_forest import ForestJob
from qiskit.providers import BackendV2
from qiskit.providers.models import BackendConfiguration
class ForestBackend(BackendV2):
MAX_QUBITS_MEMORY = 32
DEFAULT_CONFIGURATION = {'backend_name': 'Forest',
'backend_version'... | /quantastica-qiskit-forest-0.9.21.tar.gz/quantastica-qiskit-forest-0.9.21/quantastica/qiskit_forest/ForestBackend.py | 0.483405 | 0.245995 | ForestBackend.py | pypi |
import uuid
import logging
from quantastica.qiskit_toaster import ToasterJob
from quantastica import qconvert
from qiskit.providers import BackendV1
from qiskit.providers.models import BackendConfiguration
from qiskit.compiler import assemble
from qiskit.providers.options import Options
logger = logging.getLogger(__n... | /quantastica_qiskit_toaster-0.9.30-py3-none-any.whl/quantastica/qiskit_toaster/ToasterBackend.py | 0.721154 | 0.290006 | ToasterBackend.py | pypi |
# QuantaStor
## OSNEXUS QuantaStor Python Client Library
---
The python library for QuantaStor simplifies the process of automating QuantaStor management operations via python scripts. All of the published QuantaStor REST APIs as documented on the OSNEXUS documentation [wiki](https://wiki.osnexus.com/index.php?title... | /quantastor-pkg-1.0.9.tar.gz/quantastor-pkg-1.0.9/README.md | 0.884776 | 0.724468 | README.md | pypi |
# QuantaStor
## OSNEXUS QuantaStor Python Client Library
---
The python library for QuantaStor simplifies the process of automating QuantaStor management operations via python scripts. All of the published QuantaStor REST APIs as documented on the OSNEXUS documentation [wiki](https://wiki.osnexus.com/index.php?title... | /quantastor-pyclient-0.0.0.tar.gz/quantastor-pyclient-0.0.0/README.md | 0.884776 | 0.724468 | README.md | pypi |
from QUANTAXIS.QAFetch.QATdx import (QA_fetch_get_future_day,
QA_fetch_get_future_min,
QA_fetch_get_index_day,
QA_fetch_get_index_min,
QA_fetch_get_stock_day,
... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAMarket/QASimulatedBroker.py | 0.531453 | 0.251717 | QASimulatedBroker.py | pypi |
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