How to bin your data

binning.py

def calculate_and_save_values(Msamp,Esamp,spin,num_analysis,index,temp,data_filename,corr_filename):
    try:

        M_mean = np.average(Msamp[-num_analysis:])
        E_mean = np.average(Esamp[-num_analysis:])
        M_std = np.std(Msamp[-num_analysis:])
        E_std = np.std(Esamp[-num_analysis:])

        M_std_array = []

        for i in range(50):
            bin_start = int(i*len(Msamp)/50)
            bin_end = int((i+1)*len(Msamp)/50)

            M_binned = Msamp[bin_start:bin_end]
            M_binned_std = np.std(M_binned)
            M_std_array.append(M_binned_std)

        M_std_mean = np.average(M_std_array)
        M_std_std = np.std(M_std_array)

        data_array = [np.abs(M_mean),M_std,E_mean,E_std,M_std_mean,M_std_std]


        #write data to CSV file
        header_array = ['Temperature','Magnetization Mean','Magnetization Std Dev','Energy Mean','Energy Std Dev', 'CV Mean','CV Std Dev']
        append_data_to_file(data_filename, header_array) if index == 0 else None
        append_data_to_file(data_filename, data_array, temp)

        #get correlation function
        corr = compute_autocorrelation(spin)

        #write correlation function to CSV file
        header_array = ['Temperature','K','Spatial Spin Correlation']
        append_data_to_file(corr_filename, header_array) if index == 0 else None
        [append_data_to_file(corr_filename, corr_value, temp) for corr_value in corr]

        return True

    except:
        logging.error("Temp="+str(temp)+": Statistical Calculation Failed. No Data Written.")
        return False