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Overlapping keys in dictionary when Using .replace() method on pandas dataframe
Hey,
thanks for your code. I used it an ran into a problem. In the Test class.
I changed the replace with map and it works again.
class KFoldTargetEncoderTest(base.BaseEstimator, base.TransformerMixin):
def __init__(self,train,colNames,encodedName):
self.train = train
self.colNames = colNames
self.encodedName = encodedName
def fit(self, X, y=None):
return self
def transform(self,X):
mean = self.train[[self.colNames,self.encodedName]].groupby(self.colNames).mean().reset_index()
dd = {}
for index, row in mean.iterrows():
dd[row[self.colNames]] = row[self.encodedName]
X[self.encodedName] = X[self.colNames]
X[self.encodedName] = X[self.encodedName].map(dd)
return X
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