data_profiling.profile_data module

data_profiling.profile_data.convert_str_to_datetime(value: str) → datetime

Convert CSV strings to a useful data type.

Parameters:

values – the value from the CSV column

Returns:

the data converted to float

data_profiling.profile_data.convert_str_to_float(value: str) → float

Convert CSV strings to a useful data type.

Parameters:

value – the value from the CSV column

Returns:

the data converted to float

data_profiling.profile_data.get_pattern(l: list) → dict

Return a Counter where the keys are the observed patterns and the values are how often they appear.

Examples:

“hi joe.” –> “CC_C(3)”

“hello4abigail” –> “C(5)9C(7)”

“this+unexpected- 9” –> “C(4)?C(10)?_(3)9”

Parameters:

l – a list of strings

Returns:

a pattern analysis

data_profiling.profile_data.truncate_string(s: str, max_length: int, filler: str = '...') → str

For example, truncate_string(“Hello world!”, 7) returns: “Hell…”