@@ -336,7 +336,7 @@ This example orders the bars alphabetically with `categoryorder: 'category ascen
336336``` python
337337import plotly.graph_objectsas go
338338
339- x= [' b' ' a' ' c' ' d'
339+ x= [' b' ' a' ' c' ' d'
340340fig= go.Figure(go.Bar(x = x,y = [2 ,5 ,1 ,9 ],name = ' Montreal'
341341fig.add_trace(go.Bar(x = x,y = [1 ,4 ,9 ,16 ],name = ' Ottawa'
342342fig.add_trace(go.Bar(x = x,y = [6 ,8 ,4.5 ,8 ],name = ' Toronto'
@@ -350,7 +350,7 @@ This example shows how to customise sort ordering by defining `categoryorder` to
350350``` python
351351import plotly.graph_objectsas go
352352
353- x= [' a ' , ' b ' , ' c' ' d'
353+ x= [' b ' , ' a ' , ' c' ' d'
354354fig= go.Figure(go.Bar(x = x,y = [2 ,5 ,1 ,9 ],name = ' Montreal'
355355fig.add_trace(go.Bar(x = x,y = [1 ,4 ,9 ,16 ],name = ' Ottawa'
356356fig.add_trace(go.Bar(x = x,y = [6 ,8 ,4.5 ,8 ],name = ' Toronto'
@@ -364,7 +364,7 @@ This example orders the bars by descending value with `categoryorder: 'total des
364364``` python
365365import plotly.graph_objectsas go
366366
367- x= [' b' ' a' ' c' ' d'
367+ x= [' b' ' a' ' c' ' d'
368368fig= go.Figure(go.Bar(x = x,y = [2 ,5 ,1 ,9 ],name = ' Montreal'
369369fig.add_trace(go.Bar(x = x,y = [1 ,4 ,9 ,16 ],name = ' Ottawa'
370370fig.add_trace(go.Bar(x = x,y = [6 ,8 ,4.5 ,8 ],name = ' Toronto'