def sort_by_x(self, pinfo):
"""
Sort the lists in pinfo according to pinfo['x']
This function is useful for geom's that expect
the x-values to come in sorted order
"""
# Remove list types from pinfo
_d = {}
for k in list(pinfo.keys()):
if not is_string(pinfo[k]) and iterable(pinfo[k]):
_d[k] = pinfo.pop(k)
# Sort numerically if all items can be cast
try:
x = list(map(np.float, _d['x']))
except (ValueError, TypeError):
x = _d['x']
# Make sure we don't try to sort something unsortable
try:
idx = np.argsort(x)
# Put sorted lists back in pinfo
for key in _d:
pinfo[key] = [_d[key][i] for i in idx]
except:
pass
return pinfo
def _sort_list_types_by_x(self, pinfo):
"""
Sort the lists in pinfo according to pinfo['x']
"""
# Remove list types from pinfo
_d = {}
for k in list(pinfo.keys()):
if not is_string(pinfo[k]) and cbook.iterable(pinfo[k]):
_d[k] = pinfo.pop(k)
# Sort numerically if all items can be cast
try:
x = list(map(np.float, _d['x']))
except ValueError:
x = _d['x']
idx = np.argsort(x)
# Put sorted lists back in pinfo
for key in _d:
pinfo[key] = [_d[key][i] for i in idx]
return pinfo
def _sort_list_types_by_x(self, pinfo):
"""
Sort the lists in pinfo according to pinfo['x']
"""
# Remove list types from pinfo
_d = {}
for k in list(pinfo.keys()):
if not is_string(pinfo[k]) and cbook.iterable(pinfo[k]):
_d[k] = pinfo.pop(k)
# Sort numerically if all items can be cast
try:
x = list(map(np.float, _d['x']))
except ValueError:
x = _d['x']
idx = np.argsort(x)
# Put sorted lists back in pinfo
for key in _d:
pinfo[key] = [_d[key][i] for i in idx]
return pinfo