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flowmachine.features.subscriber.total_active_periods

Source: flowmachine/features/subscriber/total_active_periods.py

Definition of the TotalActivePeriodsSubscriber class, breaks a time span into many smaller time spans and counts the number of distinct periods in which each subscriber is present in the data.

Note

The implementation of this algorithm was principally done in order to form an input to detection bias models (see [1]). However, it is not limited to that use-case.

Class TotalActivePeriodsSubscriber

TotalActivePeriodsSubscriber(start: str, total_periods: int, period_length: int = 1, period_unit: str = 'days', hours: Union[Tuple[int, int], NoneType] = None, table: Union[str, List[str]] = 'all', subscriber_identifier: str = 'msisdn', subscriber_subset: Union[flowmachine.core.query.Query, NoneType] = None)
Source: flowmachine/features/subscriber/total_active_periods.py

Breaks a time span into distinct time periods (currently integer number of days). For each subscriber counts the total number of time periods in which each subscriber was seen. For instance we might ask for a month worth of data, break down our month into 10 3 day chunks, and ask for each subscriber how many of these three day chunks each subscriber was present in the data in.

Attributes

Parameters

  • start: str

    iso-format date, start of the analysis.

  • total_periods: int

    Total number of periods to break your time span into

  • period_length: int, default 1

    Total number of days per period.

  • period_unit: str, default days

    Split this time frame into hours or days etc.

  • subscriber_identifier: str, default msisdn

    Either msisdn, or imei, the column that identifies the subscriber.

  • subscriber_subset: typing.Union[flowmachine.core.query.Query, NoneType], default None

    If provided, string or list of string which are msisdn or imeis to limit results to; or, a query or table which has a column with a name matching subscriber_identifier (typically, msisdn), to limit results to.

  • kwargs

    passed to flowmachine.UniqueSubscribers

Examples

TotalActivePeriods('2016-01-01', 10, 3).get_dataframe()
    subscriber     total_periods
    subscriberA       10
    subscriberB       3
    subscriberC       7
          .
          .
          .

Methods

cache

cache
Source: flowmachine/core/query.py

Returns

  • bool

    True is caching is switched on.

column_names

column_names
Source: flowmachine/features/subscriber/total_active_periods.py

Returns the column names.

Returns

  • typing.List[str]

    List of the column names of this query.

column_names_as_string_list

column_names_as_string_list
Source: flowmachine/core/query.py

Get the column names as a comma separated list

Returns

  • str

    Comma separated list of column names

dependencies

dependencies
Source: flowmachine/core/query.py

Returns

  • set

    The set of queries which this one is directly dependent on.

fully_qualified_table_name

fully_qualified_table_name
Source: flowmachine/core/query.py

Returns a unique fully qualified name for the query to be stored as under the cache schema, based on a hash of the parameters, class, and subqueries.

Returns

  • str

    String form of the table's fqn

index_cols

index_cols
Source: flowmachine/core/query.py

A list of columns to use as indexes when storing this query.

Returns

  • ixen: list

    By default, returns the location columns if they are present and self.spatial_unit is defined, and the subscriber column.

Examples
daily_location("2016-01-01").index_cols
[['name'], '"subscriber"']

is_stored

is_stored
Source: flowmachine/core/query.py

Returns

  • bool

    True if the table is stored, and False otherwise.

query_id

query_id
Source: flowmachine/core/query.py

Generate a uniquely identifying hash of this query, based on the parameters of it and the subqueries it is composed of.

Returns

  • str

    query_id hash string

query_state

query_state
Source: flowmachine/core/query.py

Return the current query state.

Returns

  • QueryState

    The current query state

query_state_str

query_state_str
Source: flowmachine/core/query.py

Return the current query state as a string

Returns

  • str

    The current query state. The possible values are the ones defined in flowmachine.core.query_state.QueryState.

table_name

table_name
Source: flowmachine/core/query.py

Returns a uniquename for the query to be stored as, based on a hash of the parameters, class, and subqueries.

Returns

  • str

    String form of the table's fqn

  1. Lefebvre, https://docs.google.com/document/d/1BVOAM8bVacen0U0wXbxRmEhxdRbW8J_lyaOcUtDGhx8/edit ↩