ShivamPathak99
ShivamPathak99
If you use `minorticks_off()` the minor ticks get disabled ```py import matplotlib.pyplot as plt import numpy as np N = np.array([3, 5, 7, 9]) s = np.ones_like(N) fig, ax =...
> If you remove the `minor=False` from the example you still get the unwanted minor ticks. Because `minor= False` is the default value.
Are these the objectives? 1. **Move FuncAnimation Content:** - Move the content currently residing in the API ``FuncAnimation`` section to the existing ``simple animation guide``. 2. **Restructure API Page:** -...
Did I got it right ?
Is there any way to bypass the `MatplotlibDeprecationWarning`, in case of adding custom class (e.g. dashed). ```python def _validate_hatch_pattern(hatch): valid_hatch_patterns = set(r'_-+|/\xXoO.*') # Adding '_' Dashed pattern ``` After implementing...
> Did you search for that warning in the source code? Thanks, it is working after a restart.
Are there any more examples to tagging ?
No, as of now I haven't added any input for email, email is directly written in code. But, I was going to implement it by taking emails from Excel sheets.