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How to use is_timedelta method in pandera

Best Python code snippet using pandera_python

diagnostic_view.py

Source:diagnostic_view.py

1from src.view.cell_view import CellView2import pandas as pd3def fmt_table_styles(table_styles):4    for ts in table_styles:5        sel = ts.get('selector')6        if sel is None:7            continue8        for k, v in ts.items():9            if isinstance(v, CellView):10                print(11                    f'{sel}.{k}: {str(v.to_tuples()[0][0]) + "." + str(v.to_tuples()[0][1])}'12                )13                print(14                    map(15                        lambda tup: str(tup[0]) + "." + str(tup[1]),16                        v.to_tuples()))17            elif isinstance(v, str):18                print(f'{sel}.{k}: {v}')19            else:20                continue21            props = ts.get('props')22            if props is not None:23                print(24                    '\t' + '\n\t'.join(25                        map(26                            lambda tup: str(tup[0]) + "." + str(tup[1]),27                            props)))28def fmt_types_table(value: pd.DataFrame):29    print(str(pd.DatetimeIndex))30    widths = [19, 19, 10, 10, 14, 14]31    fmt_str = "{:{}s}: {:{}s} {:{}s} {:{}s} {:{}s} {:{}s} {:s}"32    print(33        fmt_str.format(34            'name', widths[0], 'type', widths[1], 'is_float', widths[2],35            'is_int', widths[3], 'is_timedelta', widths[4], 'is_datetime',36            widths[5], 'type_str'))37    for cname, ctype in zip(value.columns, value.dtypes):38        is_float = ctype == float39        is_int = ctype == int40        is_timedelta = pd.api.types.is_timedelta64_dtype(ctype)41        is_datetime = pd.api.types.is_datetime64_dtype(ctype)42        type_str = str(type(ctype))43        print(44            fmt_str.format(45                cname,46                widths[0], str(ctype), widths[1], str(is_float), widths[2],47                str(is_int), widths[3], str(is_timedelta), widths[4],...

generic_validators_test.py

Source:generic_validators_test.py

1from python_json_config.validators import is_timedelta, is_valid_choice2def test_is_timedelta():3    valid_timedeltas = ["1:3:24:30:23", "0:0:1", "0:0:0:0:1", "01:02:02:03:04"]4    invalid_timedeltas = ["1:3:24:30:23:45", "01:a:02:03:04"]5    for timedelta in valid_timedeltas:6        assert is_timedelta(timedelta)7    assert is_timedelta(invalid_timedeltas[0]) == (False, "Timedelta contains more than 5 elements.")8    assert is_timedelta(invalid_timedeltas[1]) == (False, "Timedelta contains non-integer elements.")9def test_is_valid_choice():10    list_options = [1, 2, "3"]11    list_validator = is_valid_choice(list_options)12    assert list_validator(1)13    assert list_validator(3) == (False, f"Value is not contained in the options {list_options}")14    assert list_validator("3")15    assert list_validator(4) == (False, f"Value is not contained in the options {list_options}")16    dict_options = {1: "2", "3": 4}17    dict_validator = is_valid_choice(dict_options)18    assert dict_validator(1)19    assert dict_validator("2") == (False, f"Value is not contained in the options {dict_options}")20    assert dict_validator("3")...

__init__.py

Source:__init__.py

1from .network_validators import is_ipv4_address, is_unreserved_port2from .generic_validators import is_timedelta, is_valid_choice3__all__ = [4    "is_timedelta",5    "is_valid_choice",6    "is_ipv4_address",7    "is_unreserved_port"...

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