Data Generator Plus vs PeterJohn NumPy

Data Generator is a fast, simple tool for generating realistic test data. It offers configuration options that provide great flexibility and manual control over the generated data. Test data can be used for machine learning or database testing purposes. Features: • Easy-to-use interface • Ability to set the amount of data • Ability to set minimum and maximum ranges for x-values and y-values • Support for integer or double data types • Option to avoid duplicate data (generate unique values only) • Preview data as a graph • Copy or save data in array format • Supported array formats: [x], [y], [x, y], (x, y), {x, y} Example Data: [x] - [2, 2, 2, 10, ... , 2, 10, 4, 8] [y] - [5, 3, 7, 8, ... , 4, 1, 2, 1] [x,y] - [[2, 5], [2, 3], [2, 7], [10, 8], ... , [2, 4], [10, 1], [4, 2], [8, 1]] (x,y) - ((2, 5), (2, 3), (2, 7), (10, 8), ... , (2, 4), (10, 1), (4, 2), (8, 1)) {x,y} - {{2, 5}, {2, 3}, {2, 7}, {10, 8}, ... , {2, 4}, {10, 1}, {4, 2}, {8, 1}} Example Usage: • Use for machine learning data training. Training data is used to teach an algorithm or machine learning model to predict specific outcomes. Test data is then used to evaluate the model's performance, such as accuracy and efficiency. • Generate dummy data for Excel training. • Create sample data as placeholders for both testing and operational purposes. • Or use it for any other purpose based on your imagination! Note: For datasets with more than 500 points, only the first 500 data points are displayed in the graph preview to improve performance. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.

****PeterJohnNumPyV4 Now You Can Use NumPy 1.20.2 on CPython3.9.9. ****How To Use NumPy on PeterJohnNumPyV4;; Go To "TutorialSeason003/scripts/s007LSTMtrainingPlot.py". Then "Run Script". ****Not Yet implemented Features;; Basically, you Can Use all Functions of numpy.ndarray. **1; numpy.random;; please use Python3 Standard "random" module instead of it. 1.1); numpy.random.randn();; So we implemented pjRandN() function using NumPy and Python3 Standard "random" module. Documents/TutorialSeason003/scripts/pjLStermMemory.py;pjRandN() **2; numpy.linalg;; 2.1); numpy.linalg.norm();; So we implemented pjNorm() function using NumPy instead of it. Documents/TutorialSeason003/scripts/pjLStermMemory.py;pjNorm() 2.2); numpy.linalg.qr();; So we implemented pjQR() function using NumPy instead of it. Documents/TutorialSeason003/scripts/pjLStermMemory.py;pjQR(); **3; numpy.diag();; Basically, you Can Use all Functions of numpy.ndarray, so Please use numpy.ndarray.diagonal() instead of it. **4; numpy.fft; Not Yet implemented. **5; numpy.polynomial;; Not Yet implemented. **6; numpy.ctypeslib;; Not Yet implemented. ****When you Use this App withOut NumPy;; Using iPhone's "Files.app", Delete the NumPy's "__pycache__" folder below. Documents/PeterJohnNumPyV4/usrLocal/lib/python3.9/site-packages/numpy/__pycache__ If there doesNot Exist the NumPy's "__pycache__" folder, when you touched "Edit Script", this App Calls "Py_FinalizeEx()" So you Can Enjoy Scripting Comfortably. ****the WorkAround against the Well-Known Bug of NumPy and Python3.9;; NumPy and Python3.9 have a Well-Known Bug. While NumPy has been imported, "Py_FinalizeEx()" doesNot Release memory. So If you imported NumPy at the Second time, Python3 Crashes. so we made a WorkAround against the Well-Known Bug of NumPy and Python3.9. As the Specification of this App, If there Exists the NumPy's "__pycache__" folder, Documents/PeterJohnNumPyV4/usrLocal/lib/python3.9/site-packages/numpy/__pycache__ Even if you touched "Edit Script", this App doesNot call "Py_FinalizeEx()" This is Not a Perfect Solution But you Can Enjoy NumPy withOut Python3 Crashing. ****1st Corinthians 10:31, GNT; 10:31 Well, whatever you do, whether you eat or drink, do it all for God's glory. Enjoy NumPy on PeterJohnNumPyV4. Best Regards, --Yasushi Yassun Obata