How to pass another entire column as argument to pandas fillna()

Question

I would like to fill missing values in one column with values from another column, using fillna method.

(I read that looping through each row would be

Answer 1

I know this is an old question, but I had a need for doing something similar recently. I was able to use the following:

df = pd.DataFrame([["1","cat","mouse"],
    ["2","dog","elephant"],
    ["3","cat","giraf"],
    ["4",np.nan,"ant"]],columns=["Day","Cat1","Cat2"])

print(df)

  Day Cat1      Cat2
0   1  cat     mouse
1   2  dog  elephant
2   3  cat     giraf
3   4  NaN       ant

df1 = df.bfill(axis=1).iloc[:, 1]
df1 = df1.to_frame()
print(df1)

Which yields:

  Cat1
0  cat
1  dog
2  cat
3  ant

Hope this is helpful to someone!