geo_functions module

geo_functions.blocksFromMarker_ids(closeMarkers, client)

Find that blocks that contain the given marker_ids.

Parameters:
  • closeMarkers – List of marker_ids.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

DataFrame – the close blocks in a Pandas DataFrame.
Raises:

ValueError
geo_functions.findBlockCoordinates(block_df, client)

Return the space marker ids, their coordinates, and block information for markers within the given blocks.

Parameters:
  • block_df (DataFrame) – The close blocks in a Pandas DataFrame.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

list – a list of Dicts that have all the plotting information for the spaces.
Raises:

ValueError
geo_functions.findCloseBlocks(point, meters, client)

Find the blocks in the parking database that are within a given radius to a set of coordinates.

Parameters:
  • point (list) – The coordinates of the point.
  • meters (int) – The radius to search within in meters.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

DataFrame – the close blocks in a Pandas DataFrame.
Raises:

ValueError
geo_functions.findCloseMarker_ids(point, meters, client)

Find the marker_ids for spaces within the radius of the supplied coordinates with a GeoQuery.

Parameters:
  • point (list) – The coordinates of the point.
  • meters (int) – The radius to search within in meters.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

list – the close marker_ids in a list.
Raises:

ValueError, TypeError
geo_functions.findCoordsFromMarker_Ids(marker_ids, client)

Returns a DataFrame of marker_ids, coordinates, and desctiptions from the bayData collection.

Parameters:
  • marker_ids (list) – marker_ids of interest.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

DataFrame – a DataFrame with marker_id, coordinates, and descriptions.
Raises:

TypeError
geo_functions.format_blocksWithAllMarkers(blocksWithAllMarkers)

Returns a dict of with the block information, and coordinate geometry in GeoJSON style.

Parameters:blocksWithAllMarkers (DataFrame) – blocks, marker_ids, marker_id descriptions, and coordinates.
Returns:dict – a dict of with the block information, and coordinate geometry in GeoJSON style.
Raises:ValueError
geo_functions.format_closeBlocksCur(closeBlocksCur)

Returns a DataFrame of the block information from a cursor assoicated with Mongo query of marker_ids.

Parameters:closeBlocksCur (Mongo Cursor) – blocks, marker_ids, marker_id descriptions, and coordinates.
Returns:DataFrame – a DataFrame of the block information.
geo_functions.geocode_address(locationQuery)

Lookup user inputted text with a Geolocation service. Return the clean address and coordinates.

Parameters:locationQuery (str) – The address entered by the user.
Returns:dict – the cleaned address and coordinates in a dict.
Raises:ValueError
geo_functions.getBlockAvailability(features, time, client)

Find the predicted availablity for each block and append the information to the list of blocks.

Parameters:
  • features (list) – A list of Dicts that have all the plotting information for the spaces.
  • time (str) – The time entered by the user.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

list – a list of Dicts that have all the plotting information for the spaces as well as the predictions.
geo_functions.marker_idsFromBlocks(block_df, client)

Appends a column of all the marker_ids to a DataFrame of block identifiers.

Parameters:
  • block_df (DataFrame) – The close blocks in a Pandas DataFrame.
  • client (pymongo.mongo_client.MongoClient) – The pymongo MongoClient instance.
Returns:

DataFrame – all of the blocks and the marker_ids assiated with them.
Raises:

ValueError