Remove NaN 'Cells' without dropping the entire ROW (Pandas,Python3)

Question

Right now I have a DF like this

 Word       Word2          Word3
 Hello      NaN            NaN
 My         My Name        NaN
 Yellow     Yellow Bee     Yel         


        

Answer 1

Since you want the values to move up, you'll have to create a new data frame

Started with -

     Word         Word2
0   Hello           NaN
1      My       My Name
2  Yellow    Yellow Bee
3  Golden  Golden Gates
4  Yellow           NaN

Used following method -

def get_column_array(df, column):
    expected_length = len(df)
    current_array = df[column].dropna().values
    if len(current_array) < expected_length:
        current_array = np.append(current_array, [''] * (expected_length - len(current_array)))
    return current_array

pd.DataFrame({column: get_column_array(df, column) for column in df.columns}

Gives -

     Word         Word2
0   Hello       My Name
1      My    Yellow Bee
2  Yellow  Golden Gates
3  Golden              
4  Yellow              

You can also edit the existing df with the same function -

for column in df.columns:
    df[column] = get_column_array(df, column)