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.
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.
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
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
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