def validate_lonlatbox(value):
validate = try_and_error(validate_float, validate_str)
try:
return validate_none(value)
except (TypeError, ValueError):
try:
return validate_str(value)
except (TypeError, ValueError):
if len(value) != 4:
raise ValueError("Need 4 values for longitude-latitude box, "
"got %i" % len(value))
return list(map(validate, value))
def validate(val):
if isinstance(val, six.string_types) and val.startswith('poly'):
try:
int(val[4:])
except ValueError:
raise ValueError("Polynomials must be of the form 'poly<deg>' "
"(e.g. 'poly3'), not %s!" % val)
else:
return val
elif hasattr(val, 'fit') and hasattr(val, 'predict'):
return val
return try_and_error(
validate_callable, validate_none,
ValidateInStrings('fit', ['fit', 'linear', 'robust'], True))(val)
def validate_lsm(val):
res_validation = try_and_error(validate_bool, validate_str)
try:
val = res_validation(val)
except (ValueError, TypeError):
pass
else:
return [val, 1.0]
try:
val = validate_float(val)
except (ValueError, TypeError):
pass
else:
return [True, val]
res, lw = val
return [res_validation(res), validate_float(lw)]
def validate_fix(val):
if val is None:
return [None]
try:
val = validate_float(val)
return [[0, val]]
except ValueError:
pass
msg = 'Values for the fix formatoptions must be of length 2!'
validator = try_and_error(validate_none, validate_list(float))
try:
val = validator(val)
except ValueError:
val = list(map(validator, val))
if not all(v is None or len(v) == 2 for v in val):
raise ValueError(msg)
else:
if val is not None and len(val) != 2:
raise ValueError(msg)
return val
def validate_p0(value):
value = safe_list(value)
for i, v in enumerate(value):
value[i] = try_and_error(ValidateList(float),
ValidateInStrings('p0', ['auto'], True))(v)
return value
'plotter.linreg.param_bounds': [
None, validate_param_bounds,
'fmt key to specify the boundaries of the fit'],
'plotter.linreg.p0': [
'auto', validate_p0,
'fmt key to specify the initial parameters of the fit'],
'plotter.linreg.fix': [
None, validate_fix,
'fmt key to set a fix point for the linear regression fit'],
'plotter.linreg.fit': [
'fit', validate_fit, 'The model to use for fitting a model'],
'plotter.linreg.nboot': [
1000, validate_int,
'Number of bootstrap resamples to estimate the confidence interval'],
'plotter.linreg.ci': [
95, try_and_error(validate_none, validate_float),
'Size of the confidence interval'],
'plotter.linreg.id_color': [
None, psyps_rc.validate['plotter.simple.color'],
'fmt key to modify the color cycle of the ideal lines in a fit plot'],
'plotter.linreg.ideal': [
None, validate_ideal,
'The ideal lines to plot'],
'plotter.linreg.bootstrap.random_seed': [
None, try_and_error(validate_none, validate_int),
'The seed to use for the bootstrap algorithm to estimate the '
'confidence interval'],
# combined density and linear regression plot
'plotter.densityreg.lineplot': [
'-', try_and_error(validate_none, validate_str,
# MapBase
'plotter.maps.lonlatbox': [
None, validate_lonlatbox,
'fmt key to define the longitude latitude box of the data'
],
'plotter.maps.map_extent': [
None, validate_lonlatbox,
'fmt key to define the extent of the map plot'
],
'plotter.maps.clip': [
None, validate_bool_maybe_none,
'fmt key to define clip the axes outside the latitudes'
],
'plotter.maps.clon': [
None,
try_and_error(validate_none, validate_float, validate_str),
'fmt key to specify the center longitude of the projection'
],
'plotter.maps.clat': [
None,
try_and_error(validate_none, validate_float, validate_str),
'fmt key to specify the center latitude of the projection'
],
# TODO: Implement the drawing of shape files on a map
# 'plotter.maps.lineshapes': [None, try_and_error(
# validate_none, validate_dict, validate_str, validate_stringlist)],
'plotter.maps.grid_labels': [
None, validate_bool_maybe_none,
'fmt key to draw labels of the lat-lon-grid'
],
'plotter.maps.grid_labelsize': [
