Add two columns one below other in pandas

Question

I have a big DataFrame and I`m trying to transform 2 columns(Series) into 1.

Example:

print(df['col1'])
0 1
1 2
2 3

print(df['col2'])
0 7
1 8
2 9

Output:

print(df['singleCol'])
0 1
1 2
2 3
3 7
4 8
5 9

Is this possible using Pandas?

Answer 1

series1 = pd.Series(df['col1'])
series2 = pd.Series(df['col2'])
df = pd.concat([series1, series2], axis = 0)