I have a csv log file of the signal that records the values of this signal itself.
The values are duplicated in it. What I want to avoid.
I'm trying something like this
#There's a function torn out of the class right away
def Signal(self):
df = pd.read_csv('Datasets\\RobotMath\\Answer-Step-Score.csv', usecols=['Time','Answers','step','step2','Score' ])
df = df.tail(1)
if df.step.item() != 0:
self.value = df.step.item()
elif df.Answers.item() != 0:
self.value = df.Answers.item()
elif df.step2.item() != 0:
self.value = df.step2.item()
self.b = pd.DataFrame({(self.value, df.Time.item(), df.Score.item())})
dfa = pd.read_csv('Datasets\\RobotMath\\Signal-log.csv', usecols=['Time'])
self.dfa = dfa.tail(1)
if df.Время.item() != dfa.Time.tolist():
self.b.to_csv('Datasets\\RobotMath\\Signal.csv',index=False, header=['Sig', 'Time', 'Step'])
self.b.to_csv('Datasets\\RobotMath\\Signal-log.csv',index=False,mode='a', header=False)
else:
print('The signal has not changed')
The log file is created in another function once when the loop is started and records one second.
Further, according to my logic, I assign a signal value to a variable and compare this signal with a log file, and if there is no such signal in the log file, then write it to the log and send it to the signal.
But for some reason I have a duplication of the signal in the logs
I tried to do the 'if' check in different ways
if df.Time.item().equals(dfa.Time.item()):
self.b.to_csv('Datasets\\RobotMath\\Signal.csv',index=False, header=['Sig', 'Time', 'Step'])
self.b.to_csv('Datasets\\RobotMath\\Signal-log.csv',index=False,mode='a', header=False)
else:
print('The signal has not changed')
But it didn't work that way
And it didn't work when I did so
if df.Время.item() in dfa['Time']:
self.b.to_csv('Datasets\\RobotMath\\Signal.csv',index=False, header=False)
self.b.to_csv('Datasets\\RobotMath\\Signal-log.csv',index=False,mode='a', header=False)
else:
print('The signal has not changed')
How do I do this check and not write the same values?
Would using df.drop_duplicates
solve this issue?
self.b = pd.DataFrame({
(self.value, df.Time.item(), df.Score.item())
}).drop_duplicates(subset='Signal')
Could you maybe provide example data for this so that the issue can be replicated?
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