[Python] Pandas - fillna multiple columns with a given series, matching by index?

I'd like to use a fillna command to fillna multiple columns of a Pandas dataframe with the same series, matching by index:

import numpy as np
import pandas as pd

df_1 = pd.DataFrame(index = [0, 1, 2], columns = ['a', 'b', 'c'], data = [[1, np.NaN, np.NaN], [2, np.NaN, 4], [np.NaN, 2, -3]])
series_1 = pd.Series([6, 5, 4], index = [0, 1, 2])

df_2 = df_1.fillna(series_2) # ???


Desired output is

df_2 = pd.DataFrame(index = [0, 1, 2], columns = ['a', 'b', 'c'], data = [[1, 6, 6], [2, 5, 4], [4, 2, -3]])


Is there a pythonic way to do this without individually fillnaing every column?

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