@@ -181,20 +181,18 @@ def __init__(self, data=None):
181181 self .update (data )
182182
183183 @staticmethod
184- def _strs_are_convertible ( vals ):
184+ def _str_is_convertible ( val ):
185185 """
186- Helper method to see if list of strings can all be cast to float or
186+ Helper method to see if a string can be cast to float or
187187 parsed as date.
188188 """
189-
190- for val in vals :
189+ try :
190+ float (val )
191+ except ValueError :
191192 try :
192- float (val )
193+ dateutil . parser . parse (val )
193194 except ValueError :
194- try :
195- dateutil .parser .parse (val )
196- except ValueError :
197- return False
195+ return False
198196 return True
199197
200198 def update (self , data ):
@@ -212,18 +210,22 @@ def update(self, data):
212210 """
213211 data = np .atleast_1d (np .array (data , dtype = object ))
214212
213+ # check if convertable to number:
214+ convertable = True
215215 for val in OrderedDict .fromkeys (data ):
216216 # OrderedDict just iterates over unique values in data.
217217 if not isinstance (val , (str , bytes )):
218218 raise TypeError ("{val!r} is not a string" .format (val = val ))
219+ if convertable :
220+ # this will only be called so long as convertable is True.
221+ convertable = self ._str_is_convertible (val )
219222 if val not in self ._mapping :
220223 self ._mapping [val ] = next (self ._counter )
221- # check if we can convert all strings to number or date...
222- if self ._strs_are_convertible (data ):
223- _log .info ('using category units to plot a list of '
224- 'strings that is a;; floats or parsable as dates. '
225- 'If you do not mean these to be categories, cast '
226- 'to the approriate data type before plotting.' )
224+ if convertable :
225+ _log .info ('Using categrocical units to plot a list of strings '
226+ 'that are all parsable as floats or dates. If these '
227+ 'strings should be plotted as numbers, cast to the '
228+ 'approriate data type before plotting.' )
227229
228230
229231# Register the converter with Matplotlib's unit framework
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