flowmachine.features.subscriber.distance_counterparts¶
Source: flowmachine/features/subscriber/distance_counterparts.py
Calculate metrics related with distance between caller and her/his counterparts.
Class DistanceCounterparts¶
DistanceCounterparts(start, stop, statistic='avg', *, hours: Union[Tuple[int, int], NoneType] = None, tables='all', direction: Union[str, flowmachine.features.utilities.direction_enum.Direction] = <Direction.BOTH: 'both'>, subscriber_subset=None, exclude_self_calls=True)
This class returns metrics related with the distance between event initiator and her/his counterparts. It assumes that the ID column uniquely identifies the event initiator and their counterparts' event. Choose only tables for which this assumption is true. In some cases, asynchronous communication like SMS might not be tagged with an ID that allows one to recover the counterpart event. Distances are measured in km.
Attributes¶
Parameters¶
-
start
,stop
:str
iso-format start and stop datetimes
-
hours
:typing.Union[typing.Tuple[int, int], NoneType]
, defaultNone
Restrict the analysis to only a certain set of hours within each day.
-
tables
:str
, default'all'.
The table must have a
msisdn_counterpart
column. -
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.
-
statistic
:{'count', 'sum', 'avg', 'max', 'min', 'median', 'mode', 'stddev', 'variance'}
, default'avg'
-
exclude_self_calls
:bool
, defaultTrue
Set to false to include calls a subscriber made to themself Defaults to sum, aggregation statistic over the durations.
Examples¶
s = DistanceCounterparts("2016-01-01", "2016-01-07", statistic="avg")
s.get_dataframe()
Methods¶
cache¶
cache
Returns¶
-
bool
True is caching is switched on.
column_names¶
column_names
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
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