This is against the rules of the python language. TabError: inconsistent use of tabs and spaces in indentationĪlso, you can find the attached, the script file. Error due to reason 1 It’s visible from the input that an empty string cannot be converted into a float. Luckily, Python has a very handy string method. #*****************************************************Errror In short, if you try to convert a string that isnt formatted as a floating point number to a float, you will get the Python valueerror: could not convert. This means that before you convert this to a float, you need to remove the leading and trailing speech marks. $ python model_growth.py bacteria.csv 0 1 0.1 Print('We predict the rate of growth of this bacterial population to be', best_fit) Mse.append(squared_error(prediction, experiment_data)) T = np.linspace(0, 10, len(experiment_data)) Range_rate = np.arange(rate_params, rate_params, rate_params) Rate_params =np.array(,sys.argv,sys.argv]) I am running the following code in the git:Įxperiment_data = np.loadtxt(filename,delimiter=',') Change this so that you can pass a name of a csv-file on the command line and have its name assigned to filename. Syntax: DataFrame. Print( 'We predict the rate of growth of this bacterial population to be', best_fit)Īs I can see it you are still defining the variable filename as the scripts name ( sys.argv), rather than the name of the CSV file that you are trying to read with np.loadtxt(). The method is used to cast a pandas object to a specified dtype. append( squared_error( prediction, experiment_data)) Residual = prediction - data mse = ( residual ** 2). arange( rate_params, rate_params, rate_params)
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