great_expectations.render.util

Rendering utility

Module Contents

Functions

num_to_str(f, precision=DEFAULT_PRECISION, use_locale=False, no_scientific=False)

Convert the given float to a string, centralizing standards for precision and decisions about scientific

ordinal(num)

Convert a number to ordinal

resource_key_passes_run_name_filter(resource_key, run_name_filter)

substitute_none_for_missing(kwargs, kwarg_list)

Utility function to plug Nones in when optional parameters are not specified in expectation kwargs.

parse_row_condition_string_pandas_engine(condition_string: str, with_schema: bool = False)

handle_strict_min_max(params: dict)

Utility function for the at least and at most conditions based on strictness.

great_expectations.render.util.DEFAULT_PRECISION = 4
great_expectations.render.util.ctx
great_expectations.render.util.prec
great_expectations.render.util.num_to_str(f, precision=DEFAULT_PRECISION, use_locale=False, no_scientific=False)

Convert the given float to a string, centralizing standards for precision and decisions about scientific notation. Adds an approximately equal sign in the event precision loss (e.g. rounding) has occurred.

There’s a good discussion of related issues here:

https://stackoverflow.com/questions/38847690/convert-float-to-string-in-positional-format-without-scientific-notation-and-fa

Parameters
  • f – the number to format

  • precision – the number of digits of precision to display

  • use_locale – if True, use locale-specific formatting (e.g. adding thousands separators)

  • no_scientific – if True, print all available digits of precision without scientific notation. This may insert leading zeros before very small numbers, causing the resulting string to be longer than precision characters

Returns

A string representation of the float, according to the desired parameters

great_expectations.render.util.SUFFIXES
great_expectations.render.util.ordinal(num)

Convert a number to ordinal

great_expectations.render.util.resource_key_passes_run_name_filter(resource_key, run_name_filter)
great_expectations.render.util.substitute_none_for_missing(kwargs, kwarg_list)

Utility function to plug Nones in when optional parameters are not specified in expectation kwargs.

Example

Input:

kwargs={“a”:1, “b”:2}, kwarg_list=[“c”, “d”]

Output: {“a”:1, “b”:2, “c”: None, “d”: None}

This is helpful for standardizing the input objects for rendering functions. The alternative is lots of awkward if “some_param” not in kwargs or kwargs[“some_param”] == None: clauses in renderers.

great_expectations.render.util.parse_row_condition_string_pandas_engine(condition_string: str, with_schema: bool = False) → tuple
great_expectations.render.util.handle_strict_min_max(params: dict) -> (str, str)

Utility function for the at least and at most conditions based on strictness.

Parameters

params – dictionary containing “strict_min” and “strict_max” booleans.

Returns

tuple of strings to use for the at least condition and the at most condition