updating autotype documentation

Author: nicolaskruchten

doc/python/axes.md

@@ -60,18 +60,17 @@ The axis type is auto-detected by looking at data from the first [trace](/python
 
 * First check for `multicategory`, then `date`, then `category`, else default to `linear` (`log` is never automatically selected)
 * `multicategory` is just a shape test: is the array nested?
-* `date` and `category`: require **more than twice as many distinct date or category strings** as distinct numbers or numeric strings in order to choose that axis type.
+* `date` and `category`: require **more than twice as many distinct date or category strings as distinct numbers** in order to choose that axis type.
 	* Both of these test an evenly-spaced sample of at most 1000 values
-	* Small detail: the `category` test sorts every value into either number or category, whereas for dates, 2- and 4-digit integers count as both dates and numbers.
 
 
 ### Forcing an axis to be categorical
 
-If you pass string values for the `x` or `y` parameter, plotly will automatically set the corresponding axis type to `category`, *except if enough of these strings contain numbers* as detailed above, in which case the axis is automatically set to `linear`. It is however possible to force the axis type by setting explicitely `xaxis_type` to be `category`.
+It is possible to force the axis type by setting explicitely `xaxis_type`. In the example below the automatic X axis type would be `linear` (because there are not more than twice as many unique strings as unique numbers) but we force it to be `category`.
 
 ```python
 import plotly.express as px
-fig = px.bar(x=[1, 2, 4, 10], y =[8, 6, 11, 5])
+fig = px.bar(x=["a", "a", "b", 3], y = [1,2,3,4])
 fig.update_xaxes(type='category')
 fig.show()
 ```

doc/python/categorical-axes.md

@@ -50,18 +50,16 @@ The axis type is auto-detected by looking at data from the first [trace](/python
 
 * First check for `multicategory`, then `date`, then `category`, else default to `linear` (`log` is never automatically selected)
 * `multicategory` is just a shape test: is the array nested?
-* `date` and `category`: require **more than twice as many distinct date or category strings** as distinct numbers or numeric strings in order to choose that axis type.
+* `date` and `category`: require **more than twice as many distinct date or category strings as distinct numbers** in order to choose that axis type.
 	* Both of these test an evenly-spaced sample of at most 1000 values
-	* Small detail: the `category` test sorts every value into either number or category, whereas for dates, 2- and 4-digit integers count as both dates and numbers.
-
 
 ### Forcing an axis to be categorical
 
-If you pass string values for the `x` or `y` parameter, plotly will automatically set the corresponding axis type to `category`, *except if enough of these strings contain numbers* as detailed above, in which case the axis is automatically set to `linear`. It is however possible to force the axis type by setting explicitely `xaxis_type` to be `category`.
+It is possible to force the axis type by setting explicitely `xaxis_type`. In the example below the automatic X axis type would be `linear` (because there are not more than twice as many unique strings as unique numbers) but we force it to be `category`.
 
 ```python
 import plotly.express as px
-fig = px.bar(x=[1, 2, 4, 10], y =[8, 6, 11, 5])
+fig = px.bar(x=["a", "a", "b", 3], y = [1,2,3,4])
 fig.update_xaxes(type='category')
 fig.show()
 ```