def fill_climdiv(self, data, **kwargs):
"""Fill climate divisions using provided data dictionary
Args:
data (dict): A dictionary of climate division IDs and values
bins (optional[list]): a list of values for classification
lblformat (optional[str]): a format specifier to use
**kwargs (optional): other values
"""
clidict = load_pickle_geo('climdiv.pickle')
polygon_fill(self, clidict, data, **kwargs)
def fill_cwas(self, data, **kwargs):
"""Add overlay of filled polygons for NWS Forecast Offices.
Method adds a colorized overlay of NWS Forecast Offices based on a
data dictionary of values provided. This method also places a color
bar on the image.
Args:
data (dict): Dictionary of values with keys representing the 3 char
or 4 char idenitifer for the WFO. This assumes the 3 char sites
are the K ones.
labels (dict, optional): Optional dictionary that follows the
``data`` attribute, but hard codes what should be plotted as a
label.
bins (list, optional): List of increasing values to use as bins to
determine color levels.
lblformat (str, optional): Format string to use to place labels.
cmap (matplotlib.cmap, optional): Colormap to use with ``bins``
"""
cwas = load_pickle_geo('cwa.pickle')
polygon_fill(self, cwas, data, **kwargs)
def fill_states(self, data, **kwargs):
"""Add overlay of filled state polygons"""
states = load_pickle_geo('us_states.pickle')
polygon_fill(self, states, data, **kwargs)