plot_interactive.toml

# Lines starting with '#? ' are used to verify variables' types
# Type hints lines are structured the following way:
# Variable keys: possible types: additionnal comment

#? LOADING_DIR: str: directory from which to load data
LOADING_DIR = "bgc_data"
#? POLYGONS_FOLDER: str: directory to load polygon from / save polygon to
POLYGONS_FOLDER = "polygons"
#? VARIABLE: str: variable to map
# If 'all': will map density of datapoints, regardless of their variables.
VARIABLE = "all"
#? DATE_MIN: str: first date to map
DATE_MIN = "20070101"
#? DATE_MAX: str: last date to map
DATE_MAX = "20071231"
#? LATITUDE_MIN: int | float: minimum latitude boundary (included)
LATITUDE_MIN = 50
#? LATITUDE_MAX: int | float: maximum latitude boundary (included)
LATITUDE_MAX = 90
#? LONGITUDE_MIN: int | float: minimum longitude boundary (included)
LONGITUDE_MIN = -180
#? LONGITUDE_MAX: int | float: maximum longitude boundary (included)
LONGITUDE_MAX = 180
#? LATITUDE_MAP_MIN: int | float: minimum latitude boundary (included)
# If set to nan, the map boundaries will match the extremum of the dataframe
LATITUDE_MAP_MIN = 50
#? LATITUDE_MAP_MAX: int | float: maximum latitude boundary (included)
# If set to nan, the map boundaries will match the extremum of the dataframe
LATITUDE_MAP_MAX = 90
#? LONGITUDE_MAP_MIN: int | float: minimum longitude boundary (included)
# If set to nan, the map boundaries will match the extremum of the dataframe
LONGITUDE_MAP_MIN = -180
#? LONGITUDE_MAP_MAX: int | float: maximum longitude boundary (included)
# If set to nan, the map boundaries will match the extremum of the dataframe
LONGITUDE_MAP_MAX = 180
#? DEPTH_MIN: int | float: minimum depth boundary (included)
DEPTH_MIN = nan
#? DEPTH_MAX: int | float: maximum depth boundary (included)
DEPTH_MAX = 0
#? BIN_SIZE: list[float] | list[int] | float | int: bins size
# If list, first component is latitude size, second is longitude size
# If int or float, represents both latitude and longitude size
BIN_SIZE = [0.5, 1.5]
#? EXPOCODES_TO_LOAD: list[str]: precise expocode to load alone.
# If empty, no discrimination on expocode will be conducted
EXPOCODES_TO_LOAD = []
#? CONSIDER_DEPTH: bool
# If true: the plotted density will consider all data points (even the ones in the water column)
# If false: the plotted density will only consider one data point per location and date
CONSIDER_DEPTH = true
#? PRIORITY: list[str]: providers priority list to use when removing duplicates
PRIORITY = ["GLODAP_2022", "CMEMS", "ARGO", "NMDC", "CLIVAR", "IMR", "ICES"]