DataProperty 0.4.1

Python library for extract property from data.

DataProperty

Table of contents

• Summary

• Installation

• Usage

  • Extract property of data

    • e.g. Extract property of a float value

    • e.g. Extract property of a int value

    • e.g. Extract property of a str value

    • e.g. Extract property of a time value (from datetime)

    • e.g. Extract property of a time value (from str)

    • e.g. Extract property of a bool value.

  • Extract property of data for each data from a matrix

  • Extract property of data for each column from a matrix

• Dependencies

  • Test dependencies

Summary

Python library for extract property from data.

Installation

pip install DataProperty

Usage

Extract property of data

e.g. Extract property of a float value

from dataproperty import DataProperty
DataProperty(-1.0)

data=-1.0, typename=FLOAT, align=right, str_len=4, integer_digits=1, decimal_places=1, additional_format_len=1

e.g. Extract property of a int value

from dataproperty import DataProperty
DataProperty(123456789)

data=123456789, typename=INT, align=right, str_len=9, integer_digits=9, decimal_places=0, additional_format_len=0

e.g. Extract property of a str value

from dataproperty import DataProperty
DataProperty("abcdefgh")

data=abcdefgh, typename=STRING, align=left, str_len=8, integer_digits=nan, decimal_places=nan, additional_format_len=0

e.g. Extract property of a time value (from datetime)

import datetime
from dataproperty import DataProperty
DataProperty(datetime.datetime(2017, 1, 1, 0, 0, 0))

data=2017-01-01 00:00:00, typename=DATETIME, align=left, str_len=19, integer_digits=nan, decimal_places=nan, additional_format_len=0

e.g. Extract property of a time value (from str)

DataProperty("2017-01-01T01:23:45+0900")

data=2017-01-01 01:23:45+09:00, typename=DATETIME, align=left, str_len=25, integer_digits=nan, decimal_places=nan, additional_format_len=0

e.g. Extract property of a bool value.

DataProperty(True)

data=True, typename=BOOL, align=left, str_len=4, integer_digits=nan, decimal_places=nan, additional_format_len=0

Extract property of data for each data from a matrix

import datetime
from dataproperty import PropertyExtractor, Typecode
import six

def display(prop_matrix, name):
    six.print_()
    six.print_("---------- %s ----------" % (name))
    for prop_list in prop_matrix:
        six.print_([getattr(prop, name) for prop in prop_list])

dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")
data_matrix = [
    [1, 1.1,  "aa",   1,   1,     True,   inf,   nan,   dt],
    [2, 2.2,  "bbb",  2.2, 2.2,   False,  "inf", "nan", dt],
    [3, 3.33, "cccc", -3,  "ccc", "true", inf,   "NAN", "2017-01-01T01:23:45+0900"],
]
prop_extractor = PropertyExtractor()

prop_extractor.data_matrix = data_matrix
prop_matrix = prop_extractor.extract_data_property_matrix()

six.print_("---------- typename ----------")
for prop_list in prop_matrix:
    six.print_([Typecode.get_typename(prop.typecode) for prop in prop_list])

display(prop_matrix, "data")
display(prop_matrix, "align")
display(prop_matrix, "str_len")
display(prop_matrix, "integer_digits")
display(prop_matrix, "decimal_places")

---------- typename ----------
['INT', 'FLOAT', 'STRING', 'INT', 'INT', 'BOOL', 'INFINITY', 'NAN', 'DATETIME']
['INT', 'FLOAT', 'STRING', 'FLOAT', 'FLOAT', 'BOOL', 'INFINITY', 'NAN', 'DATETIME']
['INT', 'FLOAT', 'STRING', 'INT', 'STRING', 'BOOL', 'INFINITY', 'NAN', 'DATETIME']

---------- data ----------
[1, 1.1, 'aa', 1, 1, True, inf, nan, datetime.datetime(2017, 1, 1, 0, 0)]
[2, 2.2, 'bbb', 2.2, 2.2, False, inf, nan, datetime.datetime(2017, 1, 1, 0, 0)]
[3, 3.33, 'cccc', -3, 'ccc', True, inf, nan, datetime.datetime(2017, 1, 1, 1, 23, 45, tzinfo=tzoffset(None, 32400))]

---------- align ----------
[right, right, left, right, right, left, left, left, left]
[right, right, left, right, right, left, left, left, left]
[right, right, left, right, left, left, left, left, left]

---------- str_len ----------
[1, 3, 2, 1, 1, 4, 3, 3, 19]
[1, 3, 3, 3, 3, 5, 3, 3, 19]
[1, 4, 4, 2, 3, 4, 3, 3, 25]

---------- integer_digits ----------
[1, 1, nan, 1, 1, nan, nan, nan, nan]
[1, 1, nan, 1, 1, nan, nan, nan, nan]
[1, 1, nan, 1, nan, nan, nan, nan, nan]

---------- decimal_places ----------
[0, 1, nan, 0, 0, nan, nan, nan, nan]
[0, 1, nan, 1, 1, nan, nan, nan, nan]
[0, 2, nan, 0, nan, nan, nan, nan, nan]

Extract property of data for each column from a matrix

import datetime
from dataproperty import PropertyExtractor, Typecode
import six

def display(prop_list, name):
    six.print_()
    six.print_("---------- %s ----------" % (name))
    six.print_([getattr(prop, name) for prop in prop_list])

dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")
data_matrix = [
    [1, 1.1,  "aa",   1,   1,     True,   inf,   nan,   dt],
    [2, 2.2,  "bbb",  2.2, 2.2,   False,  "inf", "nan", dt],
    [3, 3.33, "cccc", -3,  "ccc", "true", inf,   "NAN", "2017-01-01T01:23:45+0900"],
]
prop_extractor = PropertyExtractor()

prop_extractor.header_list = [
    "int", "float", "str", "num", "mix", "bool", "inf", "nan", "time"]
prop_extractor.data_matrix = data_matrix
col_prop_list = prop_extractor.extract_column_property_list()

six.print_("---------- typename ----------")
six.print_([Typecode.get_typename(prop.typecode) for prop in col_prop_list])

display(col_prop_list, "align")
display(col_prop_list, "padding_len")
display(col_prop_list, "decimal_places")

---------- typename ----------
['INT', 'FLOAT', 'STRING', 'FLOAT', 'STRING', 'BOOL', 'INFINITY', 'NAN', 'DATETIME']

---------- align ----------
[right, right, left, right, left, left, left, left, left]

---------- padding_len ----------
[3, 5, 4, 3, 3, 5, 3, 3, 25]

---------- decimal_places ----------
[nan, 2, nan, 1, 1, nan, nan, nan, nan]

Dependencies

Python 2.6+ or 3.3+

• python-dateutil

• pytz

• six

Test dependencies

• pytest

• pytest-runner

• tox