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Add more analysis functions #6
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Hey Alex, |
Hey @nasir-hussain-swat, thanks for the suggestions! |
@AlexandreHiroyuki you are welcome, any tasks regarding python especially Datascience, i'll be happy to do. |
add size_of_memory method that returns the memory usage of the array #6
Add methods to return min and max values currently stored in the array, also works on partials. #6
Add median and partial_median methods. #6
* chore: 📝 add data tome analysis header to library json #3 * feat: 🧑💻 add size_of_memory method add size_of_memory method that returns the memory usage of the array #6 * fix(DataTomeAnalysis): 🚑 fix std method fix std method to divide by the point_count, not by the reserved size * test(DataTomeMvAvg): ✅ add test to memory size and partials memory size * fix(DataTomeMvAvg): 🚑 case when array is resized to a smaller size * refactor(DataTomeMvAvg): 🔒 change resize to grow method Change resize to only allow the array to get bigger, avoiding data inconsistencies among other features and future additions. Also, shrinking the array implies deleting data as a non-clear side effect. * fix(DataTomeAnalysis): 🚑 change partial_std and partial_var to divide by partial_point_count, not by the allocated size * feat(DataTomeAnalysis): ✨ add min and max methods Add methods to return min and max values currently stored in the array, also works on partials. #6 * docs: 📝 improve readme readability Added ## Getting Started list to make install links easier to find and understand. * docs: 📝 add github repo url on readme * docs: 📝 make docs github repo url more clear * feat(DataTomeAnalysis): ✨ add median Add median and partial_median methods. #6 * chore: 🔧 allow extensions.json and settings.json on commits Allow extensions.json and settings.json on commits to a more standard dev experience among contributors.
* chore: 📝 add data tome analysis header to library json #3 * feat: 🧑💻 add size_of_memory method add size_of_memory method that returns the memory usage of the array #6 * fix(DataTomeAnalysis): 🚑 fix std method fix std method to divide by the point_count, not by the reserved size * test(DataTomeMvAvg): ✅ add test to memory size and partials memory size * fix(DataTomeMvAvg): 🚑 case when array is resized to a smaller size * refactor(DataTomeMvAvg): 🔒 change resize to grow method Change resize to only allow the array to get bigger, avoiding data inconsistencies among other features and future additions. Also, shrinking the array implies deleting data as a non-clear side effect. * fix(DataTomeAnalysis): 🚑 change partial_std and partial_var to divide by partial_point_count, not by the allocated size * feat(DataTomeAnalysis): ✨ add min and max methods Add methods to return min and max values currently stored in the array, also works on partials. #6 * docs: 📝 improve readme readability Added ## Getting Started list to make install links easier to find and understand. * docs: 📝 add github repo url on readme * docs: 📝 make docs github repo url more clear * feat(DataTomeAnalysis): ✨ add median Add median and partial_median methods. #6 * chore: 🔧 allow extensions.json and settings.json on commits Allow extensions.json and settings.json on commits to a more standard dev experience among contributors.
Inspired by: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.describe.html
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