Module Contents


ExpectColumnValuesToBeIncreasing(configuration: Optional[ExpectationConfiguration] = None)

Expect column values to be increasing.

class great_expectations.expectations.core.expect_column_values_to_be_increasing.ExpectColumnValuesToBeIncreasing(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.ColumnMapExpectation

Expect column values to be increasing.

By default, this expectation only works for numeric or datetime data. When parse_strings_as_datetimes=True, it can also parse strings to datetimes.

If strictly=True, then this expectation is only satisfied if each consecutive value is strictly increasing–equal values are treated as failures.

expect_column_values_to_be_increasing is a column_map_expectation.


column (str) – The column name.

Keyword Arguments
  • strictly (Boolean or None) – If True, values must be strictly greater than previous values

  • parse_strings_as_datetimes (boolean or None) – If True, all non-null column values to datetimes before making comparisons

  • mostly (None or a float between 0 and 1) – Return “success”: True if at least mostly fraction of values match the expectation. For more detail, see mostly.

Other Parameters
  • result_format (str or None) – Which output mode to use: BOOLEAN_ONLY, BASIC, COMPLETE, or SUMMARY. For more detail, see result_format.

  • include_config (boolean) – If True, then include the expectation config as part of the result object. For more detail, see include_config.

  • catch_exceptions (boolean or None) – If True, then catch exceptions and include them as part of the result object. For more detail, see catch_exceptions.

  • meta (dict or None) – A JSON-serializable dictionary (nesting allowed) that will be included in the output without modification. For more detail, see meta.


An ExpectationSuiteValidationResult

Exact fields vary depending on the values passed to result_format and include_config, catch_exceptions, and meta.

See also


map_metric = column_values.increasing
success_keys = ['strictly', 'mostly', 'parse_strings_as_datetimes']
args_keys = ['column']
validate_configuration(self, configuration: Optional[ExpectationConfiguration])
classmethod _atomic_prescriptive_template(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)

Template function that contains the logic that is shared by atomic.prescriptive.summary (GE Cloud) and renderer.prescriptive (OSS GE)

classmethod _prescriptive_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)