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]
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
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