Col-1 Col-2
0 Erin Tanya
1 Cathy Tom
2 Ross Wes
This is my dataset
I need the result to look like this:
New_column
0 Erin
1 Cathy
2 Ross
3 Tanya
4 Tom
5 Wes
I tried using .map, append, concat and .ravel but no luck. Any help would be appreciated :)
CodePudding user response:
With numpy.ravel
, you can use:
out = pd.DataFrame({'New_column': df.to_numpy().ravel(order='F')})
# or
out = pd.DataFrame({'New_column': np.ravel(df, order='F')})
output:
New_column
0 Erin
1 Cathy
2 Ross
3 Tanya
4 Tom
5 Wes
CodePudding user response:
Use DataFrame.melt
:
df1 = df[['Col-1','Col-2']].melt(value_name='New_column')[['New_column']]
print (df1)
New_column
0 Erin
1 Cathy
2 Ross
3 Tanya
4 Tom
5 Wes