I have an image, and I have to mark pixels whose intensity value is less than threshold value with a circle. How do you do this, Scatter plot wont work as we need two input. Help in this regard is appreciated. Answer You can use the Circle patch function from matplotlib (see doc here). Here is an example inspired by
Tag: annotations
How to annotate a type that is a combination of multiple duck-types?
Let’s say I want to annotate the parameter to a function, and it should satisfy both typing.Sized and typing.Hashable (any other 2+ types could apply, I just picked these two for the sake of example). How would I annotate this? Given that one can combine types as an “or” using Sized | Hashable, I would expect something like: Sized &
Python: use Type Hints together with Annotations
In Python, we all know Type hints, which became available from 2015: and we also know Function Annotations, in particular here I am referring to textual annotations like: But is it possible to use Type Hints together with a textual function annotation? For example: This last one throws an error. I cannot seem to find any source in PEP or
Add a number in textbox using add_annotations plotly python
How should I set up text in order to get “r-square: 0.90”? Set up: Where: but it is not working. Answer You can use an f-string instead. For example, here is what I get when I use the tips dataset:
Optional[Type[Foo]] raises TypeError in Python 3.5.2
This code: will raise TypeError on 3.5.2: whereas it runs fine on 3.6. Same problem if I spell out Optional as Union[None, Type[Foo]]. Is there any workaround for 3.5.2, while still accurately annotating the return type? Answer This is a bug in Python 3.5.2. Optional[cls] is a wrapper for Union[cls, type(None)], which uses __subclasses__() to establish whether one class is