I am learning how to use Imputer on Python.
This is my code:
df=pd.DataFrame([["XXL", 8, "black", "class 1", 22],
["L", np.nan, "gray", "class 2", 20],
["XL", 10, "blue", "class 2", 19],
["M", np.nan, "orange", "class 1", 17],
["M", 11, "green", "class 3", np.nan],
["M", 7, "red", "class 1", 22]])
df.columns=["size", "price", "color", "class", "boh"]
from sklearn.preprocessing import Imputer
imp=Imputer(missing_values="NaN", strategy="mean" )
imp.fit(df["price"])
df["price"]=imp.transform(df["price"])
However this rises the following error: ValueError: Length of values does not match length of index
What's wrong with my code???
Thanks for helping
This is because Imputer
usually uses with DataFrames rather than Series. A possible solution is:
imp=Imputer(missing_values="NaN", strategy="mean" )
imp.fit(df[["price"]])
df["price"]=imp.transform(df[["price"]]).ravel()
# Or even
imp=Imputer(missing_values="NaN", strategy="mean" )
df["price"]=imp.fit_transform(df[["price"]]).ravel()