我试图创建一个由几个方法组成的类，并且我想使用方法的返回值作为同一个类中其他方法的参数。 有没有可能这样做呢？
class Result_analysis():
def __init__(self, confidence_interval):
self.confidence_interval = confidence_interval
def read_file(self, file_number):
dict_ = {1: 'Ten_Runs_avg-throughput_scalar.csv',
2: 'Thirty_Runs_avg-throughput_scalar.csv',
3: 'Hundred_Runs_avg-throughput_scalar.csv',
4: 'Thousand_Runs_avg-throughput_scalar.csv'}
cols = ['run', 'ber', 'timelimit', 'repetition', 'Module', 'Avg_Throughput']
data = pd.read_csv(dict_[file_number], delimiter=',', skiprows=[0], names=cols)
df = pd.DataFrame(data)
return df
def extract_arrays(self,df):
avgTP_10s_arr = []
avgTP_100s_arr = []
avgTP_1000s_arr = []
for i in range(len(data)):
if (df['timelimit'][i] == 10):
avgTP_10s_arr.append(df['Avg_Throughput'][i])
elif (df['timelimit'][i] == 100):
avgTP_100s_arr.append(df['Avg_Throughput'][i])
elif (df['timelimit'][i] == 1000):
avgTP_1000s_arr.append(df['Avg_Throughput'][i])
return avgTP_10s_arr, avgTP_100s_arr, avgTP_1000s_arr
在上面的代码片段中，第二个方法使用第一个方法的返回值，但是当我运行这段代码时，它给我一个错误。
您没有包括您的所有代码，并且您应该使用跟踪更新问题，但是您的意思是这样的吗:
n = ... # I don't know what n is.
d = Result_analysis(0.95)
print(d.extract_arrays(d.read_file(n))
如果您不想从类外显式调用函数read_file。 然后您可以将程序转换为:
class Result_analysis():
def __init__(self, confidence_interval):
self.confidence_interval = confidence_interval
def read_file(self, file_number):
dict_ = {1: 'Ten_Runs_avg-throughput_scalar.csv',
2: 'Thirty_Runs_avg-throughput_scalar.csv',
3: 'Hundred_Runs_avg-throughput_scalar.csv',
4: 'Thousand_Runs_avg-throughput_scalar.csv'}
cols = ['run', 'ber', 'timelimit', 'repetition', 'Module', 'Avg_Throughput']
data = pd.read_csv(dict_[file_number], delimiter=',', skiprows=[0], names=cols)
df = pd.DataFrame(data)
return df
def extract_arrays(self,file_number):
df = Result_analysis().read_file(file_number)
avgTP_10s_arr = []
avgTP_100s_arr = []
avgTP_1000s_arr = []
for i in range(len(data)):
if (df['timelimit'][i] == 10):
avgTP_10s_arr.append(df['Avg_Throughput'][i])
elif (df['timelimit'][i] == 100):
avgTP_100s_arr.append(df['Avg_Throughput'][i])
elif (df['timelimit'][i] == 1000):
avgTP_1000s_arr.append(df['Avg_Throughput'][i])
return avgTP_10s_arr, avgTP_100s_arr, avgTP_1000s_arr
调用函数extract_arrays，并将file_number作为参数传递
