derivative = np.array([]) # Specify frames of data to be used for for loop (i.e. where to apply each coefficient) coefficient_num = len(np.arange(n * -1, n + 1)) for i in range(len(signal)): if i < n: signal_prime = np.nan elif i >= len(signal) - n: signal_prime = np.nan else: # "Refresh" the signal_prime value which will be appended to the derivative vector following each loop.
https://www.stevenhirsch.ca/python-derivative/
To create a Tkinter : Importing the module – tkinter Create the main window (container) Add any number of widgets to the main window Apply the event Trigger on the widgets.
https://www.geeksforgeeks.org/python-simple-gui-calculator-using-tkinter/
Approach: Import the modules required. Define methods for function and its derivative Use NumPy linspace function to make x-axis spacing. Plot the function and its derivative Change the limits of axis using gca () function Plot the text using text () function
https://www.geeksforgeeks.org/how-to-calculate-and-plot-the-derivative-of-a-function-using-python-matplotlib/
Importing Tkinter module Creating the main interface (window for calculator) Adding any number of widgets to the main interface Applying the event trigger on widgets
https://www.studytonight.com/post/simple-calculator-application-with-python-tkinter
pdf for "python derivative calculator program".(Page 1 of about 16 results)