def typlot(*args, **kwargs):
"""Create a time plot of the given variable"""
_require_plot_mode(tplot_mod.TYCURVE)
# If args not specified then get args using asynchronous input
if not args:
yield "Y VARIABLE "
args = kwargs["io_helper"].get_input().split()
if not args: args = [" "]
args = list(args)
var = _find_variable_or_raise_exception(state.reader, args.pop(0))
if var.type == GLOBAL_VARIABLE:
if args:
blot_common.print_blot_warning("Extra tokens after global "
"variable name ignored.")
c = tplot_mod.Curve(var)
state.tplot.add_curve(c)
state.tplot.print_show()
return
if not args:
raise BlotishError("Expected node/element number")
s = " ".join(args)
try:
selected_ids = number_list_parser.parse_number_list(s, int)
except number_list_parser.Error, err:
raise BlotishError(err)
if not args:
raise BlotishError("Expected node/element number")
s = " ".join(args)
try:
selected_ids = number_list_parser.parse_number_list(s, int)
except number_list_parser.Error, err:
raise BlotishError(err)
uniq = dict()
selected_ids = [
uniq.setdefault(i, i) for i in selected_ids if i not in uniq
]
for id in selected_ids:
c = tplot_mod.Curve(var, id)
state.tplot.add_curve(c)
state.tplot.print_show()
def _require_plot_mode(mode):
"""Check if the current tplot mode is the given mode. If there is a mismatch
raise a BlotishError."""
current_mode = state.tplot.get_current_curve_mode()
if current_mode is not None:
if mode != current_mode:
raise BlotishError(
"Time curves and X-Y curves must be defined separately")
@_subprogram("tplot")