featuretools.primitives.NumberOfHashtags#

class featuretools.primitives.NumberOfHashtags[source]#

Determines the number of hashtags in a string.

Description:

Given a list of strings, determine the number of hashtags in each string.

A hashtag is defined as a string that meets the following criteria:

  • Starts with a ‘#’ character, followed by a sequence of alphanumeric characters containing at least one alphabetic character

  • Present at the start of a string or after whitespace

  • Terminated by the end of the string, a whitespace, or a punctuation character other than ‘#’

    • e.g. The string ‘#yes-no’ contains a valid hashtag (‘#yes’)

    • e.g. The string ‘#yes#’ does not contain a valid hashtag

This implementation handles Unicode characters.

This implementation does not impose any character limit on hashtags.

If a string is missing, return NaN.

Examples

>>> x = ['#regular #expression', 'this is a string', '###__regular#1and_0#expression']
>>> number_of_hashtags = NumberOfHashtags()
>>> number_of_hashtags(x).tolist()
[2.0, 0.0, 0.0]
__init__()[source]#

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()

process_text(text)

Attributes

base_of

base_of_exclude

commutative

compatibility

Additional compatible libraries

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

series_library

stack_on

stack_on_exclude

stack_on_self

uses_calc_time

uses_full_dataframe