timelink.pandas package

Submodules

timelink.pandas.attribute_values module

Create a dataframe with the values of an attribute

timelink.pandas.attribute_values.attribute_values(attr_type, groupname=None, dates_between=None, db: TimelinkDatabase | None = None, sql_echo=False)

Return the vocabulary of an attribute

The returned dataframe has a row for each unique value a ‘count’ with the number of different entities, and the the first and last date for that row

Parameters:

• for (attr_type = attribute type to search)

• by (groupname = groupname to filter)

• use (db = database connection to)

• specified (either db or session must be)

• yyyy-mm-dd (dates_between = tuple with two dates in format)

• statement (sql_echo = if true will print the sql)

To filter by dates: dates_in = (from_date,to_date) with dates in format yyyy-mm-dd will return attributes with from_date < date < to_date

timelink.pandas.name_to_df module

timelink.pandas.name_to_df.pname_to_df(name, db: TimelinkDatabase | None = None, session=None, similar=False, name_particles=None, sql_echo=False)

name_to_df return df of people with a matching name

Parameters:

• name – name to search for

• db – = database connection to use, either db or session must be specified

• session – session to use, either db or session must be specified

• similar – if true will strip particles and insert a wild card % between name components with an extra one at the end

• name_particles – list, particles to remove before comparing names