featuretools.primitives.CumMin

class featuretools.primitives.CumMin

Calculates the cumulative minimum.

Description:

Given a list of values, return the cumulative min (or running min). There is no set window, so the min at each point is calculated over all prior values. NaN values will return NaN, but in the window of a cumulative caluclation, they’re ignored.

Examples

>>> cum_min = CumMin()
>>> cum_min([1, 2, -3, 4, None, 5]).tolist()
[1.0, 1.0, -3.0, -3.0, nan, -3.0]

__init__()

Methods

__init__()
flatten_nested_input_types(input_types)	Flattens nested column schema inputs into a single list.
generate_name(base_feature_names)
generate_names(base_feature_names)
get_args_string()
get_arguments()
get_description(input_column_descriptions[, ...])
get_filepath(filename)
get_function()

Attributes

base_of
base_of_exclude
commutative
default_value	Default value this feature returns if no data found.
description_template
input_types	woodwork.ColumnSchema types of inputs
max_stack_depth
name	Name of the primitive
number_output_features	Number of columns in feature matrix associated with this feature
return_type	ColumnSchema type of return
stack_on
stack_on_exclude
stack_on_self
uses_calc_time
uses_full_dataframe