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flowmachine.features.subscriber.mds_volume

Source: flowmachine/features/subscriber/mds_volume.py

Class for calculating MDS volume statistics.

Class MDSVolume

MDSVolume(start, stop, volume='total', statistic='sum', *, subscriber_identifier='msisdn', hours: Union[Tuple[int, int], NoneType] = None, subscriber_subset=None)
Source: flowmachine/features/subscriber/mds_volume.py

This class calculates statistics associated with MDS (mobile data session) volume usage.

Attributes

Parameters

  • start, stop: str

    iso-format start and stop datetimes

  • volume: {"total", "upload", "download"}, default "total"

    The type of volume.

  • statistic: {'count', 'sum', 'avg', 'max', 'min', 'median', 'mode', 'stddev', 'variance'}, default 'sum'

    Defaults to sum, aggregation statistic over the durations.

  • hours: typing.Union[typing.Tuple[int, int], NoneType], default None

    Restrict the analysis to only a certain set of hours within each day.

  • 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, 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.

Examples

s = MDSVolume("2016-01-01", "2016-01-08")
s.get_dataframe()
subscriber value 37J9rKydzJ0mvo0z 8755.36 PWlZ8Q5zjYkGJzXg 11383.83 6zm4b7veY2ljEQ95 7481.94 w1N59Jo07vbgrKae 12301.75 QoD6rWNN03WPbEBg 10347.43 ... ...

Methods

cache

cache
Source: flowmachine/core/query.py

Returns

  • bool

    True is caching is switched on.

column_names

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

Returns the column names.

Returns

  • list of 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