fasttrips.Util

class fasttrips.Util[source]

Util class.

Collect useful stuff here that doesn’t belong in any particular existing class.

__init__()

Methods

`__init__`()
`add_new_id`(input_df, id_colname, ...[, ...])	Passing a `pandas.DataFrame` input_df with an ID column called id_colname, adds the numeric id as a column named newid_colname and returns it.
`add_numeric_column`(input_df, id_colname, ...)	Method to create numerical ID to map to an existing ID.
`calculate_distance_miles`(dataframe, ...)	Given a dataframe with columns origin_lat, origin_lon, destination_lat, destination_lon, calculates the distance in miles between origin and destination based on Haversine.
`calculate_pathweight_costs`(df, result_col)	Calculates the weighted cost for a given `pandas.DataFrame` given a impedance function and value.
`datetime64_formatter`(x)	Formatter to convert `numpy.datetime64` to string that looks like HH:MM:SS
`datetime64_min_formatter`(x)	Formatter to convert `numpy.datetime64` to minutes after midnight (with two decimal places)
`exponential_integration`(penalty_min, growth_rate)	Returns the integrated value of an exponential function.
`get_fast_trips_config`()	Adds additional nodes to the Partridge graph to support Fast Trip extension files.
`get_process_mem_use_bytes`()	Returns the process memory usage in bytes
`get_process_mem_use_str`()	Returns a string representing the process memory use.
`logarithmic_integration`(penalty_min, growth_rate)	Returns the integrated value of an logarithmic function.
`logistic_integration`(penalty_minute, ...)	Returns the integrated value of an logistic function.
`merge_two_dicts`(x, y)	A helper method for Python 2.7 to 'zip' two dictionary objects
`parse_boolean`(val)
`parse_minutes_to_time`(minutes)
`pretty`(df)	Make a pretty version of the dataframe and return it.
`read_end_time`(x)
`read_time`(x[, end_of_day])
`remove_null_columns`(input_df[, inplace])	Remove columns from the dataframe if they're all null since they're not useful and make thinks harder to look at.
`timedelta_formatter`(x)	Formatter to convert `numpy.timedelta64` to string that looks like 4m 35.6s
`write_dataframe`(df, name, output_file[, ...])	Convenience method to write a dataframe but make some of the fields more usable.

Attributes

`DROP_DEBUG_COLUMNS`	Debug columns to drop
`DROP_PATHFINDING_COLUMNS`
`TIMEDELTA_COLUMNS_TO_UNITS`	Maps timedelta columns to units for `Util.write_dataframe()`