def save_network(urbanaccess_network=None,dir=config.settings.data_folder,
filename=None,overwrite_key=False,overwrite_hdf5=False):
"""
Write a urbanaccess_network integrated nodes and edges to a node and edge
table in a hdf5 file
Parameters
----------
urbanaccess_network : object
urbanaccess_network object with net_edges and net_nodes dataframes
dir : string, optional
directory to save hdf5 file
filename : string
name of the hdf5 file to save with .h5 extension
overwrite_key : bool, optional
if true any existing table with the specified key name will be
overwritten
overwrite_hdf5 : bool, optional
if true any existing hdf5 file with the specified name in the
specified directory will be overwritten
Returns
-------
None
"""
assert urbanaccess_network is not None\
or urbanaccess_network.net_edges.empty == False\
or urbanaccess_network.net_nodes.empty == False
df_to_hdf5(data=urbanaccess_network.net_edges,key='edges',
overwrite_key=overwrite_key,dir=dir,
filename=filename,overwrite_hdf5=overwrite_hdf5)
df_to_hdf5(data=urbanaccess_network.net_nodes,key='nodes',
overwrite_key=overwrite_key,dir=dir,filename=filename,
overwrite_hdf5=overwrite_hdf5)
def save_network(urbanaccess_network,
filename,
dir=config.settings.data_folder,
overwrite_key=False,
overwrite_hdf5=False):
"""
Write a urbanaccess_network integrated nodes and edges to a node and edge
table in a hdf5 file
Parameters
----------
urbanaccess_network : object
urbanaccess_network object with net_edges and net_nodes DataFrames
filename : string
name of the hdf5 file to save with .h5 extension
dir : string, optional
directory to save hdf5 file
overwrite_key : bool, optional
if true any existing table with the specified key name will be
overwritten
overwrite_hdf5 : bool, optional
if true any existing hdf5 file with the specified name in the
specified directory will be overwritten
Returns
-------
None
"""
if urbanaccess_network is None or urbanaccess_network.net_edges.empty or \
urbanaccess_network.net_nodes.empty:
raise ValueError('Either no urbanaccess_network specified or '
'net_edges or net_nodes are empty.')
df_to_hdf5(data=urbanaccess_network.net_edges,
key='edges',
overwrite_key=overwrite_key,
dir=dir,
filename=filename,
overwrite_hdf5=overwrite_hdf5)
df_to_hdf5(data=urbanaccess_network.net_nodes,
key='nodes',
overwrite_key=overwrite_key,
dir=dir,
filename=filename,
overwrite_hdf5=overwrite_hdf5)
def save_processed_gtfs_data(gtfsfeeds_dfs=None,
dir=config.settings.data_folder,
filename=None):
"""
Write dataframes in a gtfsfeeds_dfs object to a hdf5 file
Parameters
----------
gtfsfeeds_dfs : object
gtfsfeeds_dfs object
dir : string, optional
directory to save hdf5 file
filename : string
name of the hdf5 file to save with .h5 extension
Returns
-------
None
"""
assert gtfsfeeds_dfs is not None \
or gtfsfeeds_dfs.stops.empty == False \
or gtfsfeeds_dfs.routes.empty == False \
or gtfsfeeds_dfs.trips.empty == False \
or gtfsfeeds_dfs.stop_times.empty == False \
or gtfsfeeds_dfs.calendar.empty == False \
or gtfsfeeds_dfs.stop_times_int.empty == False, \
'gtfsfeeds_dfs is ' \
'' \
'missing one of ' \
'the required ' \
'dataframes.'
df_to_hdf5(data=gtfsfeeds_dfs.stops,
key='stops',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.routes,
key='routes',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.trips,
key='trips',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.stop_times,
key='stop_times',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.calendar,
key='calendar',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.stop_times_int,
key='stop_times_int',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
if gtfsfeeds_dfs.headways.empty == False:
df_to_hdf5(data=gtfsfeeds_dfs.headways,
key='headways',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
if gtfsfeeds_dfs.calendar_dates.empty == False:
df_to_hdf5(data=gtfsfeeds_dfs.calendar_dates,
key='calendar_dates',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
def save_processed_gtfs_data(gtfsfeeds_dfs,
filename,
dir=config.settings.data_folder):
"""
Write dataframes in a gtfsfeeds_dfs object to a hdf5 file
Parameters
----------
gtfsfeeds_dfs : object
gtfsfeeds_dfs object
filename : string
name of the hdf5 file to save with .h5 extension
dir : string, optional
directory to save hdf5 file
Returns
-------
None
"""
# TODO: refactor check below to use any() for readability
if gtfsfeeds_dfs is None or gtfsfeeds_dfs.stops.empty or \
gtfsfeeds_dfs.routes.empty or gtfsfeeds_dfs.trips.empty \
or gtfsfeeds_dfs.stop_times.empty or \
gtfsfeeds_dfs.calendar.empty or \
gtfsfeeds_dfs.stop_times_int.empty:
raise ValueError('gtfsfeeds_dfs is missing one of the required '
'dataframes.')
df_to_hdf5(data=gtfsfeeds_dfs.stops,
key='stops',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.routes,
key='routes',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.trips,
key='trips',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.stop_times,
key='stop_times',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.calendar,
key='calendar',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
df_to_hdf5(data=gtfsfeeds_dfs.stop_times_int,
key='stop_times_int',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
if gtfsfeeds_dfs.headways.empty is False:
df_to_hdf5(data=gtfsfeeds_dfs.headways,
key='headways',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
if gtfsfeeds_dfs.calendar_dates.empty is False:
df_to_hdf5(data=gtfsfeeds_dfs.calendar_dates,
key='calendar_dates',
overwrite_key=False,
dir=dir,
filename=filename,
overwrite_hdf5=False)
