os.chdir("/Users/Documents//Analyse/Eye movements/Python - Eye Analyse")

directory = '/Users/Documents/Analyse/Eye movements/R - Filtering Data/Filtered_data/Filtered_data_test'

for files in glob.glob(os.path.join(directory,"*.csv")):
    #Downloas csv, plot
    df = pd.read_csv(files, parse_dates = True)
    #Plot raw data
    plt.plot(df['eye_x'],df['eye_y'], 'ro', c="red")
    plt.ylim([0,1080])
    plt.xlim([0,1920])
    #Fixation analysis
    from detectors import fixation_detection
    fixations_data = fixation_detection(df['eye_x'],df['eye_y'], df['time'],maxdist=25, mindur=100)
    Efix_data = fixations_data[1]
    numb_fixations = len(Efix_data) #number of fixations
    fixation_start = [i[0] for i in Efix_data]
    fixation_stop = [i[1] for i in Efix_data]
    fixation = {'start' : fixation_start, 'stop': fixation_stop}
    fixation_frame = pd.DataFrame(data=fixation)
    fixation_frame['difference'] = fixation_frame['stop'] - fixation_frame['start']
    mean_fixation_time = fixation_frame['difference'].mean() #mean fixation time
    final = {'number_fixations' : [numb_fixations], 'mean_fixation_time': [mean_fixation_time]}
    final_frame = pd.DataFrame(data=final)
    #write everything in one document
    final_frame.to_csv("/Users/Documents/Analyse/Eye movements/final_data.csv")