Python Dataframe add new row based on column name

Question

How do I add a new row to my dataframe, with values that are based on the column names?

For example

Dog = 'happy'
Cat = 'sad'
df = pd.DataFrame(columns=['Dog', 'Cat'])

I want to add a new line to the dataframe where is pulls in the variable of the column heading

      Dog   Cat
0   happy   sad

Answer 1

You can try append :

df.append({'Dog':Dog,'Cat':Cat}, ignore_index=True)

Output:

     Dog  Cat
0  happy  sad

Answer 2

You can use append in a different way(other than mentioned above one)

df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
df

output:
   A  B
0  1  2
1  3  4

df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
df.append(df2)

output:
   A  B
0  1  2
1  3  4
0  5  6
1  7