How to convert a pandas dataframe into one dimensional array?

user_4800652 0
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I have a dataframe X. I want to convert it into 1D array with only 5 elements. One way of doing it is converting the inner arrays to lists. How can I do that?

      0     1   2          3           4           5
0   1622    95  1717   85.278544    1138.964373 1053.685830
1   62     328  390    75.613900    722.588235  646.974336
2   102    708  810    75.613900    800.916667  725.302767
3   102    862  964    75.613900    725.870370  650.256471
4   129    1380 1509   75.613900    783.711111  708.097211

val = X.values will give a numpy array. I want to convert the inner elements of the array to list. How can I do that? I tried this but failed 

M = val.values.tolist()
A = np.array(M,dtype=list)
N = np.array(M,dtype=object)
pandas numpy arrays python
3 Answers

If it has only one column, you can try this

op_col = []
for i in df_name['Column_name']:
    op_col.append(i)
print(op_col)
user_131518830
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