flowmachine.features.subscriber.pareto_interactions¶
Source: flowmachine/features/subscriber/pareto_interactions.py
This class calculates the Pareto proportion for a subscriber's interactions - that fraction of their contacts who account for 80% of their interactions.
Class ParetoInteractions¶
ParetoInteractions(start, stop, proportion=0.8, *, direction: Union[str, flowmachine.features.utilities.direction_enum.Direction] = <Direction.BOTH: 'both'>, tables='all', subscriber_identifier='msisdn', hours: Optional[Tuple[int, int]] = None, exclude_self_calls=False, subscriber_subset=None)
Calculates the proportion of a subscriber's contacts who account for some proportion of their interactions, ala the Pareto Principle. Returns a two columns, a subscriber, pareto - the proportion of that subscribers contacts who account for the requested proportion (0.8, by default) of their interactions in this time period.
Attributes¶
Parameters¶
-
start
,stop
:str
iso-format start and stop datetimes
-
hours
:typing.Optional
, defaultNone
Restrict the analysis to only a certain set of hours within each day.
-
direction
:typing.Union
, defaultboth
Whether to consider calls made, received, or both. Defaults to 'both'.
-
exclude_self_calls
:bool
, defaultTrue
Set to false to include calls a subscriber made to themself
-
table
:str
, default'all'
-
subscriber_identifier
:{'msisdn', 'imei'}
, default'msisdn'
Either msisdn, or imei, the column that identifies the subscriber.
-
subscriber_subset
:flowmachine.core.Table
,flowmachine.core.Query
,list
,str
, defaultNone
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.
-
proportion
:float
proportion to track below
Examples¶
p = ParetoInteractions("2016-01-01", "2016-01-02")
p.get_dataframe()
Methods¶
cache¶
cache
Returns¶
-
bool
True is caching is switched on.
column_names¶
column_names
Returns the column names.
Returns¶
-
typing.List
List of the column names of this query.
column_names_as_string_list¶
column_names_as_string_list
Get the column names as a comma separated list
Returns¶
-
str
Comma separated list of column names
dependencies¶
dependencies
Returns¶
-
set
The set of queries which this one is directly dependent on.
fully_qualified_table_name¶
fully_qualified_table_name
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
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
Returns¶
-
bool
True if the table is stored, and False otherwise.
query_id¶
query_id
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
Return the current query state.
Returns¶
-
QueryState
The current query state
query_state_str¶
query_state_str
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
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