pm4py.statistics.attributes.pandas package¶

Submodules¶

pm4py.statistics.attributes.pandas.get module¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.statistics.attributes.pandas.get.Parameters[source]¶

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'¶

ATTRIBUTE_KEY = 'pm4py:param:attribute_key'¶

CASE_ID_KEY = 'pm4py:param:case_id_key'¶

KEEP_ONCE_PER_CASE = 'keep_once_per_case'¶

MAX_NO_POINTS_SAMPLE = 'max_no_of_points_to_sample'¶

START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'¶

TIMESTAMP_KEY = 'pm4py:param:timestamp_key'¶

pm4py.statistics.attributes.pandas.get.get_attribute_values(df: pandas.core.frame.DataFrame, attribute_key: str, parameters: Optional[Dict[Union[str, pm4py.statistics.attributes.pandas.get.Parameters], Any]] = None) → Dict[Any, int][source]¶

Return list of attribute values contained in the specified column of the CSV

Parameters:	df – Pandas dataframe attribute_key – Attribute for which we want to known the values and the count parameters – Possible parameters of the algorithm
Returns:	Attributes in the specified column, along with their count
Return type:	attributes_values_dict

pm4py.statistics.attributes.pandas.get.get_events_distribution(df: pandas.core.frame.DataFrame, distr_type: str = 'days_month', parameters: Optional[Dict[Union[str, pm4py.statistics.attributes.pandas.get.Parameters], Any]] = None) → Tuple[List[str], List[int]][source]¶

Gets the distribution of the events in the specified dimension

Parameters:

df – Dataframe
distr_type – Type of distribution: - days_month => Gets the distribution of the events among the days of a month (from 1 to 31) - months => Gets the distribution of the events among the months (from 1 to 12) - years => Gets the distribution of the events among the years of the event log - hours => Gets the distribution of the events among the hours of a day (from 0 to 23) - days_week => Gets the distribution of the events among the days of a week (from Monday to Sunday) - weeks => Distribution of the events among the weeks of a year (from 0 to 52)
parameters – Parameters of the algorithm, including: - Parameters.TIMESTAMP_KEY

Returns:

x – Points (of the X-axis)
y – Points (of the Y-axis)

pm4py.statistics.attributes.pandas.get.get_kde_date_attribute(df, attribute='time:timestamp', parameters=None)[source]¶

Gets the KDE estimation for the distribution of a date attribute values

Parameters:

df – Pandas dataframe
attribute – Date attribute to analyse
parameters –

Possible parameters of the algorithm, including:

graph_points -> number of points to include in the graph

Returns:

x – X-axis values to represent
y – Y-axis values to represent

pm4py.statistics.attributes.pandas.get.get_kde_date_attribute_json(df, attribute='time:timestamp', parameters=None)[source]¶

Gets the KDE estimation for the distribution of a date attribute values (expressed as JSON)

Parameters:	df – Pandas dataframe attribute – Date attribute to analyse parameters – Possible parameters of the algorithm, including: graph_points -> number of points to include in the graph
Returns:	JSON representing the graph points
Return type:	json

pm4py.statistics.attributes.pandas.get.get_kde_numeric_attribute(df: pandas.core.frame.DataFrame, attribute: str, parameters: Optional[Dict[Union[str, pm4py.statistics.attributes.pandas.get.Parameters], Any]] = None) → Dict[Any, int][source]¶

Gets the KDE estimation for the distribution of a numeric attribute values

Parameters:

df – Pandas dataframe
attribute – Numeric attribute to analyse
parameters –

Possible parameters of the algorithm, including:

graph_points -> number of points to include in the graph

Returns:

x – X-axis values to represent
y – Y-axis values to represent

pm4py.statistics.attributes.pandas.get.get_kde_numeric_attribute_json(df, attribute, parameters=None)[source]¶

Gets the KDE estimation for the distribution of a numeric attribute values (expressed as JSON)

Parameters:	df – Pandas dataframe attribute – Numeric attribute to analyse parameters – Possible parameters of the algorithm, including: graph_points -> number of points to include in the graph
Returns:	JSON representing the graph points
Return type:	json

Module contents¶

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.