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Fitting Resistors Import Numpy Np Import Matplotlibpyplot Plt First Store Measurements Arr Q43821512

what does it mean by plot the fits andprint out parameters? please help PYTHON

– Fitting the resistors [] import numpy as np import matplotlib.pyplot as plt First, store all of the measurements in arrays such as: voltages_resistor_x_ohms = np.array([voltage_1, voltage_2, voltage_3, …]) currents_resister_x_ohms = np.array([current_1, current_2, current_3…]) [] # Make an array of voltage and current values for resistor 1 voltage = np.array([22.2, 39.8, 50., 59., 74.0, 94.7, 107.1]) current = np.array([0.89, 0.18, 0.23, 0.27, 0.33, 0.43, 0.49]) Use the numpy polyfit function to fit an order = 1 function. The syntax for this is as follows: params = np.polyfit(x_data, y_data, order) where fit will be an array y=x” * params[0]+…+x* params[n – 1] + params[n] In the linear fit order = 1, this looks like $y = mx + b = params[0] * x + params[1] Once you have your fit, plot your data with the fit. Label each line with the resistence of each resistor. #Do linear fits using polyfit params = np.polyfit(voltage, current, 1) #Plot the data plt.plot(voltage, current) plt.scatter(voltage, current) #Plot the fits <matplotlib.collections.Pathcollection at Ox7fb9be6a2e8> 406 80 100 Print out each set of parameters and put them in your lab assignment. [] # Print out parameters Show transcribed image text – Fitting the resistors [] import numpy as np import matplotlib.pyplot as plt First, store all of the measurements in arrays such as: voltages_resistor_x_ohms = np.array([voltage_1, voltage_2, voltage_3, …]) currents_resister_x_ohms = np.array([current_1, current_2, current_3…]) [] # Make an array of voltage and current values for resistor 1 voltage = np.array([22.2, 39.8, 50., 59., 74.0, 94.7, 107.1]) current = np.array([0.89, 0.18, 0.23, 0.27, 0.33, 0.43, 0.49]) Use the numpy polyfit function to fit an order = 1 function. The syntax for this is as follows: params = np.polyfit(x_data, y_data, order) where fit will be an array y=x” * params[0]+…+x* params[n – 1] + params[n] In the linear fit order = 1, this looks like $y = mx + b = params[0] * x + params[1]
Once you have your fit, plot your data with the fit. Label each line with the resistence of each resistor. #Do linear fits using polyfit params = np.polyfit(voltage, current, 1) #Plot the data plt.plot(voltage, current) plt.scatter(voltage, current) #Plot the fits 406 80 100 Print out each set of parameters and put them in your lab assignment. [] # Print out parameters

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Answer to – Fitting the resistors [] import numpy as np import matplotlib.pyplot as plt First, store all of the measurements in ar…