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Changing usages of index(t) to a more robust isclose() #23
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Hi @robotAstray thanks for this PR. |
@haggaila, thank you for the message, I will work on this and update you. Thank you. |
Signed-off-by: robotAstray <[email protected]>
@haggaila I made changes to the logic, I welcome feedback, suggestions. Thank you. |
Signed-off-by: robotAstray <[email protected]>
I renamed the function to something more appropriate that closely describe its behaviour. Signed-off-by: robotAstray <[email protected]>
Signed-off-by: robotAstray <[email protected]>
Thanks @robotAstray it looks better. I still see an issue - |
…rance()` (#3) * `plot_routines.py`: return index of the closest entry in `find_index_nearest_time_within_tolerance()` Signed-off-by: robotAstray <[email protected]> * fix docstring in plot_routines.py for `find_index_nearest_time_within_tolerance()` Signed-off-by: robotAstray <[email protected]> * fix docstring in plot_routines.py for `find_index_nearest_time_within_tolerance()` Signed-off-by: robotAstray <[email protected]> * Create `/test/plot/__init__.py` Signed-off-by: robotAstray <[email protected]> * Create test_plot_routines.py to test `find_index_nearest_time_within_tolerance()` Signed-off-by: robotAstray <[email protected]> --------- Signed-off-by: robotAstray <[email protected]>
Signed-off-by: robotAstray <[email protected]>
* remove __init__.py Signed-off-by: robotAstray <[email protected]> * __init__.py formatted Signed-off-by: robotAstray <[email protected]> --------- Signed-off-by: robotAstray <[email protected]>
Hi @haggaila, I've made some changes to the code based on your feedback. I've addressed the issue regarding the function returning |
Summary
This PR addresses issue #11 .
The PR replaces the usage of index(t) with a more robust approach using
np.isclose()
in theplot_routines.py
Details and Comments
Replaced instances of index(t) with a new function called
find_index_nearest_time_within_tolerance()
, utilisingnp.isclose()
. This change ensures more accurate and reliable time comparisons.Introduced the
rtol
parameter to thefind_index_nearest_time_within_tolerance()
function, offering control over the relative precision used in time comparisons.