Code Duplication - sabiharustam/voltcycle - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 22-22 lines in 2 locations

voltcycle/file_read.py 1 location


    data = pd.DataFrame(zipped_list, columns=['Potential', 'Current'])
    return data

def plot_fig(dict_cycle, number):
    """For basic plotting of the cycle data

    Parameters
    __________
    dict: dictionary of dataframes for all the cycles
    n: number of cycles

    Saves the plot in a file called cycle.png
    """

    for i in range(number):
        print(i+1)
        data = data_frame(dict_cycle, i+1)
        plt.plot(data.Potential, data.Current, label="Cycle{}".format(i+1))

    print(data.head())
    plt.xlabel('Voltage')
    plt.ylabel('Current')
    plt.legend()
    plt.savefig('cycle.png')
    print('executed')


voltcycle/functions_and_tests/file_read.py 1 location


    data  = pd.DataFrame(zippedList, columns = ['Potential' , 'Current'])
    return data
    
def plot_fig(dict_cycle, n):
    """For basic plotting of the cycle data
  
    Parameters
    __________
    dict: dictionary of dataframes for all the cycles
    n: number of cycles

    Saves the plot in a file called cycle.png 
    """

    for i in range(n):
        print(i+1)
        df = data_frame(dict_cycle, i+1)
        plt.plot(df.Potential, df.Current, label = "Cycle{}".format(i+1))
        
    print(df.head())
    plt.xlabel('Voltage')
    plt.ylabel('Current')
    plt.legend()
    plt.savefig('cycle.png')
    print('executed')


		@@ 99-120 (lines=22) @@
96		data = pd.DataFrame(zipped_list, columns=['Potential', 'Current'])
97		return data
98
99		def plot_fig(dict_cycle, number):
100		"""For basic plotting of the cycle data
101
102		Parameters
103		__________
104		dict: dictionary of dataframes for all the cycles
105		n: number of cycles
106
107		Saves the plot in a file called cycle.png
108		"""
109
110		for i in range(number):
111		print(i+1)
112		data = data_frame(dict_cycle, i+1)
113		plt.plot(data.Potential, data.Current, label="Cycle{}".format(i+1))
114
115		print(data.head())
116		plt.xlabel('Voltage')
117		plt.ylabel('Current')
118		plt.legend()
119		plt.savefig('cycle.png')
120		print('executed')
121

		@@ 99-120 (lines=22) @@
96		data = pd.DataFrame(zippedList, columns = ['Potential' , 'Current'])
97		return data
98
99		def plot_fig(dict_cycle, n):
100		"""For basic plotting of the cycle data
101
102		Parameters
103		__________
104		dict: dictionary of dataframes for all the cycles
105		n: number of cycles
106
107		Saves the plot in a file called cycle.png
108		"""
109
110		for i in range(n):
111		print(i+1)
112		df = data_frame(dict_cycle, i+1)
113		plt.plot(df.Potential, df.Current, label = "Cycle{}".format(i+1))
114
115		print(df.head())
116		plt.xlabel('Voltage')
117		plt.ylabel('Current')
118		plt.legend()
119		plt.savefig('cycle.png')
120		print('executed')
121

sabiharustam / voltcycle

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Code Duplication Length = 22-22 lines in 2 locations

voltcycle/file_read.py 1 location

voltcycle/functions_and_tests/file_read.py 1 location