I'm having trouble joining two datasets
data = races_df.join(runs_df, on='race_id', how='right')
X = data[data.columns[:-14]]
ss = preprocessing.StandardScaler()
X = pd.DataFrame(ss.fit_transform(X),columns = X.columns)
y_won = data[data.columns[-14:]].applymap(lambda x: 1.0 if 0.5 < x < 1.5 else 0.0)
print(X.shape)
print(y_won.shape)
when i run the code i get error message
pandas.errors.MergeError: Not allowed to merge between different levels.
(1 levels on the left, 2 on the right)
Does anyone know the correct code that wont produce this error thx
In second DataFrame is MultiIndex, so is possible remove first or second level, depends of data:
data = t1_df.join(t2_df.droplevel(0), on='race_id')
data = t1_df.join(t2_df.droplevel(1), on='race_id')
Or convert it to column:
data = t1_df.join(t2_df.reset_index(0), on='race_id')
data = t1_df.join(t2_df.reset_index(1), on='race_id')
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